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    <identifier>oai:it.cnr:prodotti:334059</identifier>
    <title>Retrieval and classification methods for textured 3D models: a comparative study</title>
    <creators>
        <creator orcid="0000-0002-9992-825X">Biasotti Sm</creator>
        <creator orcid="0000-0003-3619-8963">Cerri A</creator>
        <creator>Aono M</creator>
        <creator>Hamza Ab</creator>
        <creator>Garro V</creator>
        <creator>Giachetti A</creator>
        <creator orcid="0000-0002-6752-6918">Giorgi D</creator>
        <creator>Godil Aa</creator>
        <creator>Li Gc</creator>
        <creator>Sanada C</creator>
        <creator orcid="0000-0002-5682-6990">Spagnuolo M</creator>
        <creator>Tatsuma A</creator>
        <creator>Velasco Forero S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer Graphics</subject>
        <subject>Shape retrieval</subject>
        <subject>[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing</subject>
        <subject>Textured 3D models</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Shape classification</subject>
        <subject>Software</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
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        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s00371-015-1146-3</url>
        <url hostedBy="The Visual Computer" rights="Open Access">https://hal.archives-ouvertes.fr/hal-01250277/file/TVCsubmission%20%281%29.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/292072</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007%2Fs00371-015-1146-3</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/334059/2016_334059.postprint.pdf?id=people______%3A%3A6c29dca9204102ae9cb700744bcc8e64</url>
        <url hostedBy="The Visual Computer" rights="Closed Access">https://doi.org/10.1007/s00371-015-1146-3</url>
        <url hostedBy="Hyper Article en Ligne" rights="not available">https://hal.archives-ouvertes.fr/hal-01250277</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/292072/2/prod_334059-doc_168240.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/292072&amp;bitstreamId=7f08222b-68f9-4201-93a6-0a144e11f33d</url>
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    <dois>
        <doi>10.1007/s00371-015-1146-3</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This paper presents a comparative study of six methods for the retrieval and classification of textured 3D models, which have been selected as representative of the state of the art. To better analyse and control how methods deal with specific classes of geometric and texture deformations, we built a collection of 572 synthetic textured mesh models, in which each class includes multiple texture and geometric modifications of a small set of null models. Results show a challenging, yet lively, scenario and also reveal interesting insights into how to deal with texture information according to different approaches, possibly working in the CIELab as well as in modifications of the RGB colour space.</abstract>
    <source>THE VISUAL COMPUTER, vol. 32 (issue 2), pp. 217-241</source>
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    <title>La gestione della privacy all'interno dell'Istituto di Scienza e Tecnologie dell'Informazione A. Faedo</title>
    <creators>
        <creator orcid="0000-0002-3122-5507">Deluca R</creator>
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        <subject>Privacy</subject>
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    <date>2016</date>
    <language>Italian</language>
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    <abstract>Il seguente lavoro illustra il sistema di organizzazione per la gestione della privacy realizzato dall'Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo" (ISTI) con lo scopo di garantire che il trattamento dei dati personali avvenga nel rispetto dei diritti, delle libertà fondamentali, nonché della dignità delle persone, con particolare attenzione alle garanzie di riservatezza e sicurezza dei dati</abstract>
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            <name>Deluca, Rosaria</name>
            <orcid>0000-0002-3122-5507</orcid>
            <affiliation code="dnet:pers:836" type="Servizio" groupAcronym="SB" group="Servizio Biblioteca e Centro di Documentazione Scientifica (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:280564</identifier>
    <title>Non-conventional electrochemical and optical sensor systems</title>
    <creators>
        <creator>Di Natale C</creator>
        <creator>Dini F</creator>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
    </creators>
    <publisher>Springer</publisher>
    <subjects>
        <subject>Drinking water</subject>
        <subject>Electronic tongue</subject>
        <subject>Computer screen photo-assisted technique</subject>
        <subject>Electrochemistry</subject>
        <subject>Optical sensors</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/698_2013_254</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/255588</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F698_2013_254#page-1</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/280564/2016_280564_postprint.pdf?id=people______%3A%3Ad10f84ce168f1fd9fe20a1aad518de42</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1007/698_2013_254</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/255588/3/prod_280564-doc_181149.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/255588&amp;bitstreamId=522d12ce-cc6c-4405-8d0e-7e303de38dc4</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/255588&amp;bitstreamId=af9463b0-de9c-463a-8616-80ea13aec1f4</url>
    </urls>
    <dois>
        <doi>10.1007/698_2013_254</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Electroanalytical methods are a common tool for the assessment of chemical peculiarities of aqueous solutions. Also, the analysis of water based on optical sensors is a mature field of research, which already led to industrial applications and standard laboratory practices. Nevertheless, scientific literature is still offering new sensor techniques and innovative measurement approaches in both fields. In particular, for fast characterisation of liquids and change detection applications in a continuous monitoring context, the technology of taste sensors based on electrochemical techniques is still witnessing a growing interest. Such devices are often defined as "electronic tongues" or "e-tongues". In addition, emerging inexpensive and portable devices with optical-sensing capabilities can be used for monitoring applications with a novel approach. This chapter gives an overview of recent techniques developed in both fields and presents several potential applications and case studies that deal with the context of water quality assessment. A brief introduction about the basics of each measurement technology, even if not exhaustive, is also provided.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:293618</identifier>
    <title>Humanity is much more than the sum of humans</title>
    <creators>
        <creator orcid="0000-0003-0854-2587">Bolognesi T</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Teilhard de Chardin</subject>
        <subject>Consciousness</subject>
        <subject>Emergence</subject>
        <subject>Cosmology</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-20717-9_3</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-20717-9_3</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/259803</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/259803&amp;bitstreamId=b628fb01-a61f-44ca-abaf-51b9fffe772f</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007%2F978-3-319-20717-9_3</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-20717-9_3</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Consider two roughly spherical and coextensive complex systems: the atmosphere and the upper component of the biosphere - humanity. It is well known that, due to a malicious antipodal butterfly, the possibility to accurately forecast the weather - let alone controlling it - is severely limited. Why should it be easier to predict and steer the future of humanity? In this essay we present both pessimistic and optimistic arguments about the possibility to effectively predict and drive our future. On the long time scale, we sketch a software-oriented view at the cosmos in all of its components, from spacetime to the biosphere and human societies, borrowing ideas from various scientific theories or conjectures; the proposal is also motivated by an attempt to provide some formal foundations to Teilhard de Chardin's cosmological/metaphysical visions, that relate the growing complexity of the material universe, and its final fate, to the progressive emergence of consciousness. On a shorter scale, we briefly discuss the possibility of using simple formal models such as Kauffman's boolean networks, and the growing body of data about social behaviours, for simulating humanity 'in-silico', with the purpose to anticipate problems and testing solutions.</abstract>
    <source>THE FRONTIERS COLLECTION, pp. 1-15</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1242</infoId>
            <name>Bolognesi, Tommaso</name>
            <orcid>0000-0003-0854-2587</orcid>
            <affiliation code="dnet:pers:1242" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:329755</identifier>
    <title>Integrating adaptation rules for people with special needs in model-based UI development process</title>
    <creators>
        <creator>Miñón R</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F</creator>
        <creator>Arrue M</creator>
        <creator>Abascal J</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Design space</subject>
        <subject>Accessibility</subject>
        <subject>Information Systems</subject>
        <subject>Software</subject>
        <subject>Computer Networks and Communications</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>Adaptation rules and model-based UI</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s10209-015-0406-3</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/294388</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007%2Fs10209-015-0406-3</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/329755/2016_329755.preprint.pdf?id=people______%3A%3A428af556217f99d6602af642cfe18b88</url>
        <url hostedBy="Universal Access in the Information Society" rights="Closed Access">https://doi.org/10.1007/s10209-015-0406-3</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/294388/2/prod_329755-doc_168941.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/294388&amp;bitstreamId=9c751c86-5bb7-43ac-8aad-91d59a985b2c</url>
    </urls>
    <dois>
        <doi>10.1007/s10209-015-0406-3</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The adaptation of user interfaces for people with special needs is a promising approach in order to enable their access to digital services. Model-based user interfaces provide a useful approach for this purpose since they allow tailoring final user interfaces with a high degree of flexibility. This paper describes a system called Adaptation Integration System aimed at providing Cameleon Reference Framework model-based tools with a mechanism to integrate adaptation rules in the development process. Thus, more accessible user-tailored interfaces can be automatically generated. The services provided by the system can be applied at both design time and runtime. At design time, a user interface can be tailored at any abstraction level in the development process. At runtime, changes in the context of use trigger the adaptation process. Adaptation rules are stored in a repository tagged with meta-information useful for the adaptation process, such as the granularity of the adaptations and the abstraction level. As case studies, two applications have been developed using the services provided by the system. One of them exploits the benefits at design time, whereas the other application is devoted to describe the adaptation process at runtime. The results obtained in these two scenarios demonstrate the viability and potential of the adaption integration system since even inexperienced designers may efficiently produce accessible user interfaces.</abstract>
    <source>UNIVERSAL ACCESS IN THE INFORMATION SOCIETY (INTERNET), vol. 15 (issue 1), pp. 153-168</source>
    <projects>
        <project>
            <openaireId>corda_______::41a17dcef85a04e347590546665f07d5</openaireId>
            <code>258030</code>
            <name>Multidimensional context-aware adaptation of Service Front-ends</name>
            <acronym>SERENOA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-1-4471-7440-0_29" url="https://dx.doi.org/10.1007/978-1-4471-7440-0_29">User Interface Adaptation for Accessibility</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:299509</identifier>
    <title>Experiencing ancient buildings from a 3D GIS perspective: a case drawn from the Swedish Pompeii project</title>
    <creators>
        <creator>Dell'Unto N</creator>
        <creator>Landeschi G</creator>
        <creator>Leander Am</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0003-1558-1365">Ferdani D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Archeology</subject>
        <subject>Pompeii</subject>
        <subject>Digital archaeology</subject>
        <subject>Visualscape analysis</subject>
        <subject>3D GIS</subject>
        <subject>Virtual archaeology</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s10816-014-9226-7</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/284451</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007/s10816-014-9226-7</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/299509/2016_299509.preprint.pdf?id=people______%3A%3A9e7a68a74061a44e956d212c2c4fe228</url>
        <url hostedBy="Journal of Archaeological Method and Theory" rights="Closed Access">https://doi.org/10.1007/s10816-014-9226-7</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/284451/1/prod_299509-doc_168981.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/284451/2/prod_299509-doc_169090.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/s10816-014-9226-7</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In recent times, archaeological documentation strategies have been considerably improved by the use of advanced 3D acquisition systems. Laser scanning, photogrammetry and computer vision techniques provide archaeologists with new opportunities to investigate and document the archaeological record. In spite of this, the amount of data collected and the geometrical complexity of the models resulting from such acquisition processes have always prevented their systematic integration into a geographic information systems (GIS) environment. Recent technological advances occurred in the visualization of 3D contents, led us to overcome the aforementioned limitations and set up a work pipeline in which was possible to put the 3D models not only in the context of data visualization but also in the frame of spatial analysis. The case study described is a part of the Swedish Pompeii Project, a research and fieldwork activity started in 2000 with the purpose of recording and investigating an entire Pompeian city block, Insula V 1. As an additional part of the research, a laser scanning acquisition campaign was conducted in the last few years. The resulting models were thus meant to be used to develop further research lines: Among these, a 3D GIS system was expected to be set up with the purpose to (i) collect in the same geo-referenced environment, different typologies of documentation gathered in the context of the Swedish Pompeii Project; (ii) inter-connect 3D models with the project website; (iii) use the third dimension as a further analytical field of investigation, in the form of spatial analysis and cognitive simulation.</abstract>
    <source>JOURNAL OF ARCHAEOLOGICAL METHOD AND THEORY, vol. 23 (issue 1), pp. 73-94</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:2514</infoId>
            <name>Ferdani, Daniele</name>
            <orcid>0000-0003-1558-1365</orcid>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou631</code>
            <name>Istituto per le Tecnologie Applicate ai Beni Culturali - ITABC - Sede Montelibretti (attivo dal 18/11/1923 al 31/12/2023)</name>
            <acronym>Istituto per le Tecnologie Applicate ai Beni Culturali - ITABC - Sede Montelibretti (attivo dal 18/11/1923 al 31/12/2023)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou398</code>
            <name>Istituto di Scienze del Patrimonio Culturale - ISPC</name>
            <acronym>Istituto di Scienze del Patrimonio Culturale - ISPC</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:334285</identifier>
    <title>Building a European geothermal information network using a distributed e-Infrastructure</title>
    <creators>
        <creator orcid="0000-0002-4823-0417">Trumpy E</creator>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator orcid="0000-0002-2367-0969">Manzella A</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
        <creator>Calcagno P</creator>
        <creator>Nador A</creator>
        <creator>Bragasson T</creator>
        <creator>Grellet S</creator>
        <creator>Siddiqi G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>D4Science</subject>
        <subject>Hybrid Data e-Infrastructures</subject>
        <subject>hybrid data infrastructure</subject>
        <subject>Spatial Data Infrastructure</subject>
        <subject>[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]</subject>
        <subject>[SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology</subject>
        <subject>Geothermal Energy</subject>
        <subject>General Earth and Planetary Sciences</subject>
        <subject>e-Infrastructures</subject>
        <subject>Parallel computing</subject>
        <subject>geothermal spatial data infrastructure</subject>
        <subject>Computer Science Applications</subject>
        <subject>Geothermal documents</subject>
        <subject>[SDU.STU]Sciences of the Universe [physics]/Earth Sciences</subject>
        <subject>Distributed databases</subject>
        <subject>Software</subject>
        <subject>distributed data</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="International Journal of Digital Earth" rights="Open Access">https://doi.org/10.1080/17538947.2015.1073378</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1080/17538947.2015.1073378</url>
        <url hostedBy="Hyper Article en Ligne" rights="not available">https://hal-brgm.archives-ouvertes.fr/hal-01243531</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/290366</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/290366&amp;bitstreamId=1a57c580-17b3-45f8-8e91-8d39a503c697</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/290366&amp;bitstreamId=7daeb77a-3307-426e-bb6d-ef0f8687a2cd</url>
        <url hostedBy="www.tandfonline.com" rights="Restricted">http://www.tandfonline.com/doi/full/10.1080/17538947.2015.1073378</url>
    </urls>
    <dois>
        <doi>10.1080/17538947.2015.1073378</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Geothermal data are published using different IT services, formats and content representations, and can refer to both regional and global scale information. Geothermal stakeholders search for information with different aims. E-Infrastructures are collaborative platforms that address this diversity of aims and data representations. In this paper, we present a prototype for a European Geothermal Information Platform that uses INSPIRE recommendations and an e-Infrastructure (D4Science) to collect, aggregate and share data sets from different European data contributors, thus enabling stakeholders to retrieve and process a large amount of data. Our system merges segmented and national realities into one common framework. We demonstrate our approach by describing a platform that collects data from Italian, French, Hungarian, Swiss and Icelandic geothermal data providers.</abstract>
    <source>INTERNATIONAL JOURNAL OF DIGITAL EARTH (ONLINE), vol. 9 (issue 5), pp. 499-519</source>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <openaireId>corda_______::d20463c1850844b3928bcd31abc04e71</openaireId>
            <code>291866</code>
            <name>Geothermal ERA NET</name>
            <acronym>GEOTHERMAL ERA NET</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou228</code>
            <name>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</name>
            <acronym>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:340483</identifier>
    <title>Editorial preface for the JLAMP Special Issue on Formal Methods for Software Product Line Engineering</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Clarke D</creator>
        <creator>Schaefer I</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational Theory and Mathematics</subject>
        <subject>Formal Methods</subject>
        <subject>Software Product Line Engineering</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Software</subject>
        <subject>Logic</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="Journal of Logical and Algebraic Methods in Programming" rights="Open Access">https://doi.org/10.1016/j.jlamp.2015.09.006</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.jlamp.2015.09.006</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/304725</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/340483/2016_340483.published.pdf?id=people______%3A%3A9b93910c7960a619973f6682cf722e9d</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S2352220815000887</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/304725/1/prod_340483-doc_106535.pdf</url>
    </urls>
    <dois>
        <doi>10.1016/j.jlamp.2015.09.006</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This special issue is devoted to the themes of the FMSPLE workshop series on formal methods and analysis in Software Product Line Engineering (SPLE). SPLE aims at developing a family of (software) systems by reuse in order to reduce time-to-market and to increase product quality. The correctness of the artefacts intended for reuse, as well as the correctness of the developed products, is of crucial interest for many safety-critical or business-critical applications. Formal methods and analysis techniques have been successfully applied in single system engineering in order to rigorously establish critical system requirements. While SPLE has matured considerably over the last decade, many challenges still remain, among which efficient variability management, the consistency between domain and application engineering, the reduction of quality assurance efforts, and the consistent and sustainable evolution of product families. However, formal methods and analysis techniques are still not applied broadly enough in SPLE, despite their potential to improve product quality. One of the reasons for this is that existing formal approaches from single system engineering do not consider variability, the quintessential feature of product lines.</abstract>
    <source>THE JOURNAL OF LOGICAL AND ALGEBRAIC METHODS IN PROGRAMMING, pp. 123-124</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
            <orcid>0000-0002-2930-6367</orcid>
            <affiliation code="dnet:pers:566" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:566" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_75</code>
            <name>01.10 Curatela di numero monografico in rivista</name>
            <acronym>01.10 Curatela di numero monografico in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:344207</identifier>
    <title>Scale space graph representation and kernel matching for non rigid and textured 3D shape retrieval</title>
    <creators>
        <creator orcid="0000-0002-9527-4594">Garro V.</creator>
        <creator>Giachetti A.</creator>
    </creators>
    <publisher>IEEE Computer Society., [New York], Stati Uniti d'America</publisher>
    <subjects>
        <subject>Computational Theory and Mathematics</subject>
        <subject>Scene Analysis</subject>
        <subject>Spectral descriptors</subject>
        <subject>Shape analysis</subject>
        <subject>Artificial Intelligence</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Software</subject>
        <subject>Information Search and Retrieval</subject>
        <subject>Applied Mathematics</subject>
        <subject>Graph matching</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::e3f43db75e8e3e0c143cf42938605263</documentPage>
    <urls>
        <url hostedBy="IEEE Transactions on Pattern Analysis and Machine Intelligence" rights="Closed Access">https://doi.org/10.1109/tpami.2015.2477823</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/tpami.2015.2477823</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7254190</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/344207</url>
    </urls>
    <dois>
        <doi>10.1109/tpami.2015.2477823</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this paper we introduce a novel framework for 3D object retrieval that relies on tree-based shape representations (TreeSha) derived from the analysis of the scale-space of the Auto Diffusion Function (ADF) and on specialized graph kernels designed for their comparison. By coupling maxima of the Auto Diffusion Function with the related basins of attraction, we can link the information at different scales encoding spatial relationships in a graph description that is isometry invariant and can easily incorporate texture and additional geometrical information as node and edge features. Using custom graph kernels it is then possible to estimate shape dissimilarities adapted to different specific tasks and on different categories of models, making the procedure a powerful and flexible tool for shape recognition and retrieval. Experimental results demonstrate that the method can provide retrieval scores similar or better than state-of-the-art on textured and non textured shape retrieval benchmarks and give interesting insights on effectiveness of different shape descriptors and graph kernels.</abstract>
    <source>IEEE transactions on pattern analysis and machine intelligence 38 (2016): 1258–1271. doi:10.1109/TPAMI.2015.2477823</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:431</infoId>
            <name>Garro, Valeria</name>
            <orcid>0000-0002-9527-4594</orcid>
            <affiliation code="dnet:pers:431" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:344213</identifier>
    <title>Simple outlier labeling based on quantileregression, with application to thesteelmaking process</title>
    <creators>
        <creator>Bellio R</creator>
        <creator orcid="0000-0002-2852-8371">Coletto M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Outlier</subject>
        <subject>Steelmaking process</subject>
        <subject>Boxplot rule</subject>
        <subject>Modeling and Simulation</subject>
        <subject>Management Science and Operations Research</subject>
        <subject>Single-index model</subject>
        <subject>General Business</subject>
        <subject>Management and Accounting</subject>
        <subject>Quantile regression</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Applied Stochastic Models in Business and Industry" rights="Closed Access">https://doi.org/10.1002/asmb.2146</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1002/asmb.2146</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/301100</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/301100&amp;bitstreamId=18966a25-09c0-4da7-857c-69eced3d7af9</url>
        <url hostedBy="onlinelibrary.wiley.com" rights="Restricted">http://onlinelibrary.wiley.com/doi/10.1002/asmb.2146/full</url>
    </urls>
    <dois>
        <doi>10.1002/asmb.2146</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>This paper introduces some methods for outlier identiîEUR,cation in the regression setting, motivated by the analysis of steelmakingprocess data. The proposed methodology extends to the regression setting the boxplot rule, commonly used for outlier screening withunivariate data. The focus here is on bivariate settings with a single covariate, but extensions are possible. The proposal is basedon quantile regression, including an additional transformation parameter for selecting the best scale for linearity of the conditionalquantiles. The resulting method is used to perform effective labeling of potential outliers, with a quite low computational complexity,allowing for simple implementation within statistical software as well as commonly used spreadsheets. Some simulation experimentshave been carried out to study the swamping and masking properties of the proposal. The methodology is also illustrated by somereal life examples, taking as the response variable the energy consumed in the melting process.</abstract>
    <source>APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY (ONLINE), vol. 32 (issue 2), pp. 228-232</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:398</infoId>
            <name>Coletto, Mauro</name>
            <orcid>0000-0002-2852-8371</orcid>
            <affiliation code="dnet:pers:398" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:344828</identifier>
    <title>Modelling and analysing variability in product families: model checking of modal transition systems with variability constraints</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Fantechi A</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator orcid="0000-0003-4562-8777">Mazzanti F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Modal transition systems</subject>
        <subject>Computational Theory and Mathematics</subject>
        <subject>Variability</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Model checking</subject>
        <subject>Product families</subject>
        <subject>Software</subject>
        <subject>Logic</subject>
        <subject>Temporal logic</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Journal of Logical and Algebraic Methods in Programming" rights="Open Access">https://doi.org/10.1016/j.jlamp.2015.11.006</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.jlamp.2015.11.006</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308926</url>
        <url hostedBy="Flore (Florence Research Repository)" rights="Open Access">http://hdl.handle.net/2158/1074778</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/344828/2016_344828.preprint.pdf?id=people______%3A%3Aedd75d67a1d75c184fa01211490bead5</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S2352220815001431</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308926/3/prod_344828-doc_159176.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308926&amp;bitstreamId=2bbf4150-99f7-4c15-b235-8be639e71e0a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308926&amp;bitstreamId=b4d2529f-44d3-4649-96dc-c7ddf8c0bca8</url>
    </urls>
    <dois>
        <doi>10.1016/j.jlamp.2015.11.006</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present the formal underpinnings of a modelling and analysis framework for the specification and verification of variability in product families. We address variability at the behavioural level by modelling the family behaviour by means of a Modal Transition System (MTS) with an associated set of variability constraints expressed over action labels. An MTS is a Labelled Transition System (LTS) which distinguishes between optional and mandatory transitions. Steered by the variability constraints, the inclusion or exclusion of labelled transitions in an LTS refining the MTS determines the family's possible product behaviour. We formalise this as a special-purpose refinement relation for MTSs, which differs fundamentally from the classical one, and show how to use it for the definition and derivation of valid product behaviour starting from product family behaviour. We also present a variability-aware action-based branching-time modal temporal logic to express properties over MTSs, and demonstrate a number of results regarding the preservation of logical properties from family to product behaviour. These results pave the way for the more efficient family-based analyses of MTSs, limiting the need for product-by-product analyses of LTSs. Finally, we define a high-level modal process algebra for the specification of MTSs. The complete framework is implemented in a model-checking tool: given the behaviour of a product family modelled as an MTS with an additional set of variability constraints, it allows the explicit generation of valid product behaviour as well as the efficient on-the-fly verification of logical properties over family and product behaviour alike.</abstract>
    <source>THE JOURNAL OF LOGICAL AND ALGEBRAIC METHODS IN PROGRAMMING, vol. 85 (issue 2), pp. 287-315</source>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1330</infoId>
            <name>Mazzanti, Franco</name>
            <orcid>0000-0003-4562-8777</orcid>
            <affiliation code="dnet:pers:1330" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
            <orcid>0000-0002-2930-6367</orcid>
            <affiliation code="dnet:pers:566" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:566" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-30985-5_18" url="https://dx.doi.org/10.1007/978-3-030-30985-5_18">A Decade of Featured Transition Systems</dataset>
        <dataset doi="10.1007/978-3-030-22397-7_8" url="https://dx.doi.org/10.1007/978-3-030-22397-7_8">Bridging the Gap Between Supervisory Control and Coordination of Services: Synthesis of Orchestrations and Choreographies</dataset>
        <dataset doi="10.1007/978-3-030-22348-9_8" url="https://dx.doi.org/10.1007/978-3-030-22348-9_8">States and Events in KandISTI</dataset>
        <dataset doi="10.1007/978-3-030-34968-4_34" url="https://dx.doi.org/10.1007/978-3-030-34968-4_34">Summary of: On the Expressiveness of Modal Transition Systems with Variability Constraints</dataset>
        <dataset doi="10.1007/978-3-030-30985-5_1" url="https://dx.doi.org/10.1007/978-3-030-30985-5_1">The Legacy of Stefania Gnesi</dataset>
        <dataset doi="10.1007/978-3-030-30985-5_21" url="https://dx.doi.org/10.1007/978-3-030-30985-5_21">Variability Modelling and Analysis During 30 Years</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:345271</identifier>
    <title>An experience on applying process mining techniques to the tuscan port community system</title>
    <creators>
        <creator orcid="0000-0002-7771-0882">Spagnolo Go</creator>
        <creator orcid="0000-0003-4223-8036">Marchetti E</creator>
        <creator>Coco A</creator>
        <creator>Scarpellini P</creator>
        <creator>Querci A</creator>
        <creator>Fabbrini F</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Process mining</subject>
        <subject>Business process modelling</subject>
        <subject>Storytelling</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-27033-3_4</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/334947</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/book/10.1007/978-3-319-27033-3</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-27033-3_4</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/334947/1/prod_345271-doc_108283.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/334947&amp;bitstreamId=b8233eea-80c5-4518-8750-047f04a0b055</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-27033-3_4</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>[Context &amp;amp; Motivation] The Business Process Management is an important and widespread adopted proposal for modelling process specifications and developing an executable framework for the management of the process itself. In particular the monitoring facilities associated to the on-line process execution provide an important means to the control of process evolution and quality. In this context, this paper provides an experience on the application of business process modelling techniques and process mining techniques to the TPCS, Tuscan Port Community System. This is a web-services based platform with multilevel access control and data recovery facilities, developed for supporting and strengthening the Motorways of the Sea and Italian regulations. The paper describes a storytelling approach applied to derive the TPCS business process model and the conformance checking techniques used to validate it and improve the overall TPCS software quality.</abstract>
    <source>LECTURE NOTES IN BUSINESS INFORMATION PROCESSING, vol. 238, pp. 49-60. Vienna, Austria, 18-21/01/2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:84</infoId>
            <name>Coco, Alessandro</name>
            <affiliation code="dnet:pers:84" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:444</infoId>
            <name>Fabbrini, Fabrizio</name>
            <affiliation code="dnet:pers:444" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:639</infoId>
            <name>Marchetti, Eda</name>
            <orcid>0000-0003-4223-8036</orcid>
            <affiliation code="dnet:pers:639" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:345277</identifier>
    <title>MeshLab e Blender: software open source in supporto allo studio e alla ricostruzione virtuale della policromia antica</title>
    <creators>
        <creator orcid="0000-0001-7764-8671">Siotto E</creator>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D model</subject>
        <subject>3D virtual reconstruction SoggettiPolychromy</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/334953</url>
        <url hostedBy="www.archaeopress.com" rights="Open Access">http://www.archaeopress.com</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/334953/1/prod_345277-doc_108287.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The paper proposes our experience with the reconstruction of the ancient polychromy of the Roman sarcophagus dedicated to Ulpia Domnina (MNR-TD inv. no. 125891) through the use of open source digital technologies. In particular, MeshLab (an open source mesh processing tool) was used to better understand the styles and techniques used to apply the colour on the sarcophagus, and to create its virtual reconstruction; while Blender (an open source modelling and rendering tool) was used to render the different layers of paint and display their final effect. The combination of the two open-source software has also been tested on a selected area of the Ulpia Domnina's sarcophagus that presents an interesting layering of colours. Their combination (necessary to overcome some of their intrinsic limitations) proved to be able to produce realistic results.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:178</infoId>
            <name>Siotto, Eliana</name>
            <orcid>0000-0001-7764-8671</orcid>
            <affiliation code="dnet:pers:178" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:345466</identifier>
    <title>3D reconstruction for featureless scenes with curvature hints</title>
    <creators>
        <creator>Baldacci A</creator>
        <creator>Bernabei D</creator>
        <creator orcid="0000-0003-0543-1638">Corsini M</creator>
        <creator orcid="0000-0002-0378-9188">Ganovelli F</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Surface reconstruction</subject>
        <subject>Image-based reconstruction</subject>
        <subject>Image-based modeling</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Software</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s00371-015-1144-5</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/309505</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007%2Fs00371-015-1144-5</url>
        <url hostedBy="The Visual Computer" rights="Closed Access">https://doi.org/10.1007/s00371-015-1144-5</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/309505/1/prod_345466-doc_108372.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/s00371-015-1144-5</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present a novel interactive framework for improving 3D reconstruction starting from incomplete or noisy results obtained through image-based reconstruction algorithms. The core idea is to enable the user to provide localized hints on the curvature of the surface, which are turned into constraints during an energy minimization reconstruction. To make this task simple, we propose two algorithms. The first is a multi-view segmentation algorithm that allows the user to propagate the foreground selection of one or more images both to all the images of the input set and to the 3D points, to accurately select the part of the scene to be reconstructed. The second is a fast GPU-based algorithm for the reconstruction of smooth surfaces from multiple views, which incorporates the hints provided by the user. We show that our framework can turn a poor-quality reconstruction produced with state of the art image-based reconstruction methods into a high- quality one.</abstract>
    <source>THE VISUAL COMPUTER, vol. 32 (issue 12), pp. 1605-1620</source>
    <projects>
        <project>
            <openaireId>corda_______::3b45c0f904dd7bff10530346ed59d3e2</openaireId>
            <code>323567</code>
            <name>Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds</name>
            <acronym>HARVEST4D</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:252</infoId>
            <name>Baldacci, Andrea</name>
            <affiliation code="dnet:pers:252" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:88</infoId>
            <name>Corsini, Massimiliano</name>
            <orcid>0000-0003-0543-1638</orcid>
            <affiliation code="dnet:pers:88" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1548</infoId>
            <name>Ganovelli, Fabio</name>
            <orcid>0000-0002-0378-9188</orcid>
            <affiliation code="dnet:pers:1548" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:345468</identifier>
    <title>A proactive system for maritime environment monitoring</title>
    <creators>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0001-5068-2861">Pieri G</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Aquatic Science</subject>
        <subject>interfaces</subject>
        <subject>Oil Spill monitoring</subject>
        <subject>H.2.5 Heterogeneous Databases</subject>
        <subject>H.3.4 Systems and Software</subject>
        <subject>Risk maps</subject>
        <subject>etc.)</subject>
        <subject>Oceanography</subject>
        <subject>H.2.8 Database Applications</subject>
        <subject>decision support</subject>
        <subject>Real-time monitoring</subject>
        <subject>H.3.2 Information Storage</subject>
        <subject>I.6.7 Simulation Support Systems</subject>
        <subject>68N99 None of the above</subject>
        <subject>Pollution</subject>
        <subject>D.2.2 Design Tools and Techniques</subject>
        <subject>Proactive environmental monitoring</subject>
        <subject>68U35 Information systems (hypertext navigation</subject>
        <subject>H.3.5 Online Information Services</subject>
        <subject>Marine Information System</subject>
        <subject>Environmental Decision Support Systems</subject>
        <subject>H.4.2 Types of Systems</subject>
        <subject>H.5.1 Multimedia Information Systems</subject>
        <subject>but in this section</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.marpolbul.2015.07.045</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/309506</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/345468/2016_345468.preprint.pdf?id=people______%3A%3A0d0548e7030b69351189b0ea44dab2ac</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0025326X15004658</url>
        <url hostedBy="Marine Pollution Bulletin" rights="Closed Access">https://doi.org/10.1016/j.marpolbul.2015.07.045</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/309506/2/prod_345468-doc_166324.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/309506&amp;bitstreamId=edbd1231-fa1b-4472-a18b-e067014c6fe9</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-84900862866&amp;partnerID=MN8TOARS</url>
    </urls>
    <dois>
        <doi>10.1016/j.marpolbul.2015.07.045</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The ability to remotely detect and monitor oil spills is becoming increasingly important due to the high demand of oil-based products. Indeed, shipping routes are becoming very crowded and the likelihood of oil slick occurrence is increasing. In this frame, a fully integrated remote sensing system can be a valuable monitoring tool. We propose an integrated and interoperable system able to monitor ship traffic and marine operators, using sensing capabilities from a variety of electronic sensors, along with geo-positioning tools, and through a communication infrastructure. Our system is capable of transferring heterogeneous data, freely and seamlessly, between different elements of the information system (and their users) in a consistent and usable form. The system also integrates a collection of decision support services providing proactive functionalities. Such services demonstrate the potentiality of the system in facilitating dynamic links among different data, models and actors, as indicated by the performed field tests.</abstract>
    <source>MARINE POLLUTION BULLETIN, vol. 102 (issue 2), pp. 316-322</source>
    <projects>
        <project>
            <openaireId>corda_______::933b8435bb4d43db603e2bbf5b6842a2</openaireId>
            <code>234096</code>
            <name>Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network</name>
            <acronym>ARGOMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:484</infoId>
            <name>Pieri, Gabriele</name>
            <orcid>0000-0001-5068-2861</orcid>
            <affiliation code="dnet:pers:484" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:345471</identifier>
    <title>Automatic classification of climate change effects on marine species distributions in 2050 using the AquaMaps model</title>
    <creators>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator orcid="0000-0002-7975-5320">Magliozzi C</creator>
        <creator>Ellenbroek A</creator>
        <creator>Kaschner K</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>General Environmental Science</subject>
        <subject>Ecological Modelling</subject>
        <subject>Ecological Niche Modelling</subject>
        <subject>Big Data</subject>
        <subject>Statistics and Probability</subject>
        <subject>Statistics</subject>
        <subject>Probability and Uncertainty</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s10651-015-0333-8</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/309509</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007/s10651-015-0333-8/fulltext.html</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/345471/2016_345471.published.pdf?id=people______%3A%3A5e2b034cf23d113717f94dcb4c578147</url>
        <url hostedBy="Environmental and Ecological Statistics" rights="Closed Access">https://doi.org/10.1007/s10651-015-0333-8</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/309509/1/prod_345471-doc_121941.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/s10651-015-0333-8</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Habitat modifications driven by human impact and climate change may influence species distribution, particularly in aquatic environments. Niche-based models are commonly used to evaluate the availability and suitability of habitat and assess the consequences of future climate scenarios on a species range and shifting edges of its distribution. Together with knowledge on biology and ecology, niche models also allow evaluating the potential of species to react to expected changes. The availability of projections of future climate scenarios allows comparing current and future niche distributions, assessing a species' habitat suitability modification and shift, and consequently estimating potential species' reaction. In this study, differences between the distribution maps of 406 marine species, which were produced by the AquaMaps niche models on current and future (year 2050) scenarios, were estimated and evaluated. Discrepancy measurements were used to identify a discrete number of categories, which represent different responses to climate change. Clustering analysis was then used to automatically detect these categories, demonstrating their reliability compared to human supervised classification. Finally, the distribution of characteristics like extinction risk (based on IUCN categories), taxonomic groups, population trends and habitat suitability change over the clustering categories was evaluated. In this assessment, direct human impact was neglected, in order to focus only on the consequences of environmental changes. Furthermore, in the comparison between two climate snapshots, the intermediate phases were assumed to be implicitly included into the model of the 2050 climate scenario.</abstract>
    <source>ENVIRONMENTAL AND ECOLOGICAL STATISTICS (DORDR., ONLINE), vol. 23 (issue 1), pp. 155-180</source>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:437</infoId>
            <name>Magliozzi, Chiara</name>
            <orcid>0000-0002-7975-5320</orcid>
            <affiliation code="dnet:pers:437" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
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            <acronym>01 Contributo su Rivista</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:345617</identifier>
    <title>Digital restoration of ancient color manuscripts from geometrically misaligned recto-verso pairs</title>
    <creators>
        <creator orcid="0000-0002-8841-5440">Savino P</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Colour documents</subject>
        <subject>Materials Science (miscellaneous)</subject>
        <subject>Archeology</subject>
        <subject>Spectroscopy</subject>
        <subject>Recto-verso registration</subject>
        <subject>Bleed-through removal</subject>
        <subject>Conservation</subject>
        <subject>General Economics</subject>
        <subject>Ancient document analysis and restoration</subject>
        <subject>Econometrics and Finance</subject>
        <subject>Chemistry (miscellaneous)</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.culher.2015.11.005</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/312138</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/345617/2016_345617.preprint.pdf?id=people______%3A%3A9638be9009a34b6270c8dc5cd66078c3</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S1296207415001843</url>
        <url hostedBy="Journal of Cultural Heritage" rights="Closed Access">https://doi.org/10.1016/j.culher.2015.11.005</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/312138/2/prod_345617-doc_168639.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/312138&amp;bitstreamId=4ffaeb4a-e132-492c-a8cb-3fe8abf7ff1e</url>
    </urls>
    <dois>
        <doi>10.1016/j.culher.2015.11.005</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We propose a fast automatic procedure for registration and restoration of images of recto-verso pairsof color manuscripts affected by bleed-through distortion. The registration algorithm assumes a rigidprojective deformation of a side with respect to the other. The coefficients of the geometric transformationare computed from a large number of pairs of matching points, automatically detected by exploiting theestimates of local shifts between pairs of small patches. We validate the efficiency of the registrationalgorithm through the performance of a restoration method based on a model that relates each coupleof corresponding pixels in the two images, and thus requiring a very accurate alignment of the twosides. The experiments show that this combined procedure of registration plus restoration can providean excellent removal of the bleed-through pattern, while leaving unaltered the salient features of theoriginal manuscript.</abstract>
    <source>JOURNAL OF CULTURAL HERITAGE, vol. 19, pp. 511-521</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:719</infoId>
            <name>Savino, Pasquale</name>
            <orcid>0000-0002-8841-5440</orcid>
            <affiliation code="dnet:pers:719" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
            <orcid>0000-0001-6970-4725</orcid>
            <affiliation code="dnet:pers:691" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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    <citations/>
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        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:345628</identifier>
    <title>Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics</title>
    <creators>
        <creator>Andrienko N</creator>
        <creator>Andrienko G</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>QA</subject>
        <subject>Visual Analytics</subject>
        <subject>Traffic modeling</subject>
        <subject>Information Systems</subject>
        <subject>Hardware and Architecture</subject>
        <subject>Software</subject>
        <subject>QA75</subject>
        <subject>Mobility data mining</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.is.2015.08.007</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/312148</url>
        <url hostedBy="Information Systems" rights="Open Access">https://openaccess.city.ac.uk/id/eprint/13599/3/IS-Traffic%20Analysis_revised_2015_08.pdf</url>
        <url hostedBy="City Research Online" rights="Open Access">https://openaccess.city.ac.uk/id/eprint/15470/3/nectar_traffic_sim.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/345628/2016_345628.postprint.pdf?id=people______%3A%3A88216d7f57e4a37acf01c68f922dae93</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0306437915001647</url>
        <url hostedBy="Information Systems" rights="Closed Access">https://doi.org/10.1016/j.is.2015.08.007</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/312148/2/prod_345628-doc_156930.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/312148&amp;bitstreamId=0d099bd6-4bb7-476c-ab66-62d1cc83ccac</url>
        <url hostedBy="Fraunhofer-ePrints" rights="not available">https://publica.fraunhofer.de/handle/publica/244548</url>
    </urls>
    <dois>
        <doi>10.1016/j.is.2015.08.007</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>A spatially abstracted transportation network is a graph where nodes are territory compartments (areas in geographic space) and edges, or links, are abstract constructs, each link representing all possible paths between two neighboring areas. By applying visual analytics techniques to vehicle traffic data from different territories, we discovered that the traffic intensity (a.k.a. traffic flow or traffic flux) and the mean velocity are interrelated in a spatially abstracted transportation network in the same way as at the level of street segments. Moreover, these relationships are consistent across different levels of spatial abstraction of a physical transportation network. Graphical representations of the flux-velocity interdependencies for abstracted links have the same shape as the fundamental diagram of traffic flow through a physical street segment, which is known in transportation science. This key finding substantiates our approach to traffic analysis, forecasting, and simulation leveraging spatial abstraction. We propose a framework in which visual analytics supports three high-level tasks, assess, forecast, and develop options, in application to vehicle traffic. These tasks can be carried out in a coherent workflow, where each next task uses the results of the previous one(s). At the 'assess' stage, vehicle trajectories are used to build a spatially abstracted transportation network and compute the traffic intensities and mean velocities on the abstracted links by time intervals. The interdependencies between the two characteristics of the links are extracted and represented by formal models, which enable the second step of the workflow, 'forecast', involving simulation of vehicle movements under various conditions. The previously derived models allow not only prediction of normal traffic flows conforming to the regular daily and weekly patterns but also simulation of traffic in extraordinary cases, such as road closures, major public events, or mass evacuation due to a disaster. Interactive visual tools support preparation of simulations and analysis of their results. When the simulation forecasts problematic situations, such as major congestions and delays, the analyst proceeds to the step 'develop options' for trying various actions aimed at situation improvement and investigating their consequences. Action execution can be imitated by interactively modifying the input of the simulation model. Specific techniques support comparisons between results of simulating different "what if" scenarios.</abstract>
    <source>INFORMATION SYSTEMS, vol. 57, pp. 172-194</source>
    <projects>
        <project>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
            <affiliation code="dnet:pers:828" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
            <affiliation code="dnet:pers:828" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1145/2992154.2992158" url="https://dx.doi.org/10.1145/2992154.2992158">Towards Road Traffic Management with Forecasting on Wall Displays</dataset>
    </datasets>
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<record>
    <identifier>oai:it.cnr:prodotti:345996</identifier>
    <title>Building a digital library containing digital elaborations of ancient documents</title>
    <creators>
        <creator orcid="0000-0002-0369-6045">Debole F</creator>
        <creator orcid="0000-0002-8841-5440">Savino P</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Metadata schema for nmitispectral images</subject>
        <subject>Metadata Editor tool</subject>
        <subject>Ancient document preservation and accessibility</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/icdim.2015.7381855</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/309982</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7381855</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/345996/2016_345996.preprint.pdf?id=people______%3A%3A6be6a038810873d3fa79e63e92a62ae9</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/icdim.2015.7381855</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/309982/1/prod_345996-doc_181153.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/309982&amp;bitstreamId=e101ded3-4e41-467c-9bca-af935b5b956d</url>
    </urls>
    <dois>
        <doi>10.1109/icdim.2015.7381855</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Digital archives containing digitized images and detailed descriptions of cultural heritage objects are of primary importance in order to guarantee the preservation and to foster the fruition of many fragile artifacts of our culture and history. Digital processing of these images is frequently needed in order to improve their readability, to correct degradations and damages, and to analyze their contents. This paper presents a metadata schema and a metadata editor supporting the description and the archiving of all elaboration activities performed. The archive allows one to perform content based searches of the original object's descriptions as well as of the results of the elaboration activities.</abstract>
    <source/>
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            <infoId>dnet:pers:92</infoId>
            <name>Debole, Franca</name>
            <orcid>0000-0002-0369-6045</orcid>
            <affiliation code="dnet:pers:92" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:719</infoId>
            <name>Savino, Pasquale</name>
            <orcid>0000-0002-8841-5440</orcid>
            <affiliation code="dnet:pers:719" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
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<record>
    <identifier>oai:it.cnr:prodotti:346098</identifier>
    <title>The Fuzzy Ontology Reasoner fuzzyDL</title>
    <creators>
        <creator>Bobillo F</creator>
        <creator orcid="0000-0001-5998-6757">Straccia U</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Desciption Logics</subject>
        <subject>Management Information Systems</subject>
        <subject>Artificial Intelligence</subject>
        <subject>Software</subject>
        <subject>Fuzzy Logic</subject>
        <subject>Information Systems and Management</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.knosys.2015.11.017</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/310485</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346098/2016_346098.preprint.pdf?id=people______%3A%3Ab70ceffc003fb5d943f0a60c2c24f75d</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0950705115004621</url>
        <url hostedBy="Knowledge-Based Systems" rights="Closed Access">https://doi.org/10.1016/j.knosys.2015.11.017</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/310485/2/prod_346098-doc_147628.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/310485&amp;bitstreamId=9bda25d7-de3d-42f2-9fcb-c74226f8899b</url>
    </urls>
    <dois>
        <doi>10.1016/j.knosys.2015.11.017</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Classical, two-valued, ontologies have been successfully applied to represent the knowledge in many domains. However, it has been pointed out that they are not suitable in domains where vague or imprecise pieces of information play an important role. To overcome this limitation, several extensions to classical ontologies based on fuzzy logic have been proposed. We believe, however, that the success of fuzzy ontologies strongly depends on the availability of effective reasoners able to deal with fuzzy ontologies.

In this paper we describe fuzzyDL, an expressive fuzzy ontology reasoner with some unique features. We discuss its possibilities for fuzzy ontology representation, the supported reasoning services, the different interfaces to interact with it, some implementation details, a comparison with other fuzzy ontology reasoners, and an overview of the main applications that have used it so far.</abstract>
    <source>KNOWLEDGE-BASED SYSTEMS, vol. 95, pp. 12-34</source>
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        <cnrPerson>
            <infoId>dnet:pers:1409</infoId>
            <name>Straccia, Umberto</name>
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            <affiliation code="dnet:pers:1409" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:346276</identifier>
    <title>gCube accounting framework. Release 2.0</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Accounting</subject>
        <subject>Query</subject>
        <subject>Cloud computing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/312747</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>This framework provide facilities to persist and query accounting data in a distributed infrastructure (grid/cloud). The framework discover dynamically the connector of the NoSQL DB to use to persist accounting data. Moreover it discovers the connection parameters and the credential to use either from local configuration files or from the infrastructure registry. The framework is capable to recognize the different operational context and add this information to accounted data.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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            <acronym>05 Altro</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
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            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:346401</identifier>
    <title>An environment for End-User Development of Web mashups</title>
    <creators>
        <creator orcid="0000-0002-6061-9855">Ghiani G.</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F.</creator>
        <creator>Spano L.  D.</creator>
        <creator>Pintori G.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Web mashups.</subject>
        <subject>Education</subject>
        <subject>End User Development</subject>
        <subject>Human Factors and Ergonomics</subject>
        <subject>User interface development tools</subject>
        <subject>Hardware and Architecture</subject>
        <subject>Software</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>General Engineering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.ijhcs.2015.10.008</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/342512</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346401/2016_346401.postprint.pdf?id=people______%3A%3Abb2a5761f61ee6e0101044bdd5d7a3cb</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S1071581915001767</url>
        <url hostedBy="International Journal of Human-Computer Studies" rights="Closed Access">https://doi.org/10.1016/j.ijhcs.2015.10.008</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/342512/2/prod_346401-doc_168944.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/342512&amp;bitstreamId=16344bed-e4b8-470b-8024-269f82feee95</url>
    </urls>
    <dois>
        <doi>10.1016/j.ijhcs.2015.10.008</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>End-User Development aims to find novel ways that are suitable and intuitive for end users to create their own applications. We present a graphical environment in which users create new mashups by directly selecting interaction elements, content and functionalities from existing Web applications without requiring the intervention of expert developers. Then, users just need to exploit a copy-paste metaphor to indicate how to compose the selected interactive content and functionalities in the new mashup. The environment is enabled by a Web-based platform accessible from any browser, and is suitable for users without particular programming skills. We describe the architecture of our platform and how it works, including its intelligent support, show example applications, and report the results of first user studies.</abstract>
    <source>INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, vol. 87, pp. 38-64</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:818</infoId>
            <name>Ghiani, Giuseppe</name>
            <orcid>0000-0002-6061-9855</orcid>
            <affiliation code="dnet:pers:818" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
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            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-33614-1_7" url="https://dx.doi.org/10.1007/978-3-030-33614-1_7">Experiments on a Mashup Web-Based Platform for Increasing e-Participation and Improving the Decision-Making Process in the University</dataset>
    </datasets>
    <citations/>
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            <acronym>Catalogo Ricerca</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:346403</identifier>
    <title>Computational estimation of chromosome structure</title>
    <creators>
        <creator orcid="0000-0002-1590-7890">Caudai C</creator>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational biology</subject>
        <subject>Chromatin structure</subject>
        <subject>Multiresolution</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ercim-news.ercim.eu" rights="Open Access">http://ercim-news.ercim.eu/en104</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/342514</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/342514/1/prod_346403-doc_108831.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Research performed at ISTI-CNR in the framework of the national Flagship Project InterOmics includes the development of algorithms to reconstruct the chromosome structure from "chromosome conformation capture" data. One algorithm now being tested has already produced interesting results. Unlike most popular techniques, it does not derive a classical distance-to-geometry problem from the original contact data, and applies an efficient multiresolution approach to the genome under study.</abstract>
    <source>ERCIM NEWS, vol. 104, pp. 21-22</source>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:246</infoId>
            <name>Caudai, Claudia</name>
            <orcid>0000-0002-1590-7890</orcid>
            <affiliation code="dnet:pers:246" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:346405</identifier>
    <title>Variance analysis of unbiased least lp-norm estimator in non-Gaussian noise</title>
    <creators>
        <creator>Chen Y</creator>
        <creator>So H C</creator>
        <creator orcid="0000-0002-2608-8034">Kuruoglu E E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Electrical and Electronic Engineering</subject>
        <subject>lp-norm estimation</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Software</subject>
        <subject>Variance analysis</subject>
        <subject>Non-Gaussian noise</subject>
        <subject>Signal Processing</subject>
        <subject>Control and Systems Engineering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.sigpro.2015.12.003</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/342516</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346405/2016_346405.preprint.pdf?id=people______%3A%3A82fb6d8d35ce697a62739058ec026416</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0165168415004193</url>
        <url hostedBy="Signal Processing" rights="Closed Access">https://doi.org/10.1016/j.sigpro.2015.12.003</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/342516/2/prod_346405-doc_166323.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/342516&amp;bitstreamId=436b5483-0d2b-47ea-9a5b-e0ce83b69ec0</url>
    </urls>
    <dois>
        <doi>10.1016/j.sigpro.2015.12.003</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Modeling time and space series in various areas of science and engineering require the values of parameters of interest to be estimated from the observed data. It is desirable to analyze the performance of estimators in an elegant manner without the need for extensive simulations and/or experiments. Among various performance measures, variance is the most basic one for unbiased estimators. In this paper, we focus on the estimator based on the â,,"p-norm minimization in the presence of zero-mean symmetric non-Gaussian noise. Four representative noise models, namely, Î±-stable, generalized Gaussian, Student's t and Gaussian mixture processes, are investigated, and the corresponding variance expressions are derived for linear and nonlinear parameter estimation problems at pZ1. The optimal choice of p for different noise environments is studied, where the global optimality and sensitivity analyses are also provided. The developed formulas are verified by computer simulations and are compared with the Cramér-Rao lower bound.</abstract>
    <source>SIGNAL PROCESSING, vol. 122, pp. 190-203</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1539</infoId>
            <name>Kuruoglu, Ercan</name>
            <orcid>0000-0002-2608-8034</orcid>
            <affiliation code="dnet:pers:1539" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:346523</identifier>
    <title>Estimating absence locations of marine species from data of scientific surveys in OBIS</title>
    <creators>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator>Magliozzi C</creator>
        <creator>Vanden Berghe E</creator>
        <creator>Bailly N</creator>
        <creator>Ellenbroek A</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Occurrence data</subject>
        <subject>Scientific surveys</subject>
        <subject>Marine biodiversity</subject>
        <subject>Species distribution maps</subject>
        <subject>Ecological Modeling</subject>
        <subject>Absence locations</subject>
        <subject>Ecological niche modelling</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Ecological Modelling" rights="Closed Access">https://doi.org/10.1016/j.ecolmodel.2015.12.008</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.ecolmodel.2015.12.008</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/336121</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/336121&amp;bitstreamId=7ed82e1d-bc4d-4116-8cd3-17af14ce1d09</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">http://www.sciencedirect.com/science/article/pii/S0304380015005761</url>
        <url hostedBy="Open Marine Archive" rights="Restricted">http://www.vliz.be/nl/open-marien-archief?module=ref&amp;refid=252100</url>
    </urls>
    <dois>
        <doi>10.1016/j.ecolmodel.2015.12.008</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Estimating absence locations of a species is important in conservation biology and conservation planning. For instance, using reliable absence as much as presence information, species distribution models can enhance their performance and produce more accurate predictions of the distribution of a species. Unfortunately, estimating reliable absence locations is difficult and often requires a deep knowledge of the species' distribution and of its abiotic and biotic environmental preferences and tolerance. In this paper, we propose a methodology to reconstruct reliable absence information from presence-only information, and the conditions that those presence-only data have to meet to make this possible.Large species occurrence data collections (otherwise called occurrence datasets) contain high quality and expert-reviewed species observation records from scientific surveys. These surveys can be used to retrieve species presence locations, but they also record places where the species in their target list were not observed. Although these absences could be simply due to sampling variation, it is possible to intersect many of these reports to estimate true absence locations, i.e. those due to habitat unsuitability or geographical hindrances. In this paper, we present a method to generate reliable absence locations of this type for marine species, using scientific surveys reports contained in the Ocean Biogeographic Information System (OBIS), an authoritative species occurrence dataset. Our method spatially aggregates information from surveys focussing on the same target species. It detects absence locations for a given species as those locations in which repeated surveys (that included the species of interest in their target list) reported information only on other species. We qualitatively demonstrate the reliability of our method using distribution records of the Atlantic cod as a case study. Additionally, we quantitatively estimate its performance using another authoritative large species occurrence dataset, the Global Biodiversity Information Facility (GBIF). We also demonstrate that our approach has higher accuracy and presents complementary behaviour with respect to another method using environmental envelopes. Our process can support species distribution models (as well as other types of models, e.g. climate change models) by providing reliable data to presence/absence approaches. It can manage regional as well as global scale scenarios and runs within a collaborative e-Infrastructure (D4Science) that publishes it as-a-Service, allowing biologists to reproduce, repeat and share experimental results.</abstract>
    <source>ECOLOGICAL MODELLING, vol. 323, pp. 61-76</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
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            <acronym>01 Contributo su Rivista</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:346525</identifier>
    <title>Unifying heterogeneous and distributed information about marine species through the top level ontology MarineTLO</title>
    <creators>
        <creator>Tzitzikas Y</creator>
        <creator>Allocca C</creator>
        <creator>Bekiari C</creator>
        <creator>Marketakis Y</creator>
        <creator>Fafalios P</creator>
        <creator>Doerr M</creator>
        <creator>Minadakis N</creator>
        <creator>Patkos T</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Warehouse</subject>
        <subject>Semantic data integration</subject>
        <subject>Library and Information Sciences</subject>
        <subject>Information Systems</subject>
        <subject>Top level ontology</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1108/prog-10-2014-0072</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/336123</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346525/2016_346525.preprint.pdf?id=people______%3A%3Aa9f9195539cee68e9f8f5e960c76c3e1</url>
        <url hostedBy="www.emeraldinsight.com" rights="Open Access">http://www.emeraldinsight.com/doi/full/10.1108/PROG-10-2014-0072</url>
        <url hostedBy="Program electronic library and information systems" rights="Closed Access">https://doi.org/10.1108/prog-10-2014-0072</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/336123/1/prod_346525-doc_108842.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/336123&amp;bitstreamId=609ac6ec-7a01-432e-bb4b-66a55f03fde3</url>
    </urls>
    <dois>
        <doi>10.1108/prog-10-2014-0072</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Purpose - Marine species data are scattered across a series of heterogeneous repositories and information systems. There is no repository that can claim to have all marine species data. Moreover, information on marine species are made available through different formats and protocols. The purpose of this paper is to provide models and methods that allow integrating such information either for publishing it, browsing it or querying it. Aiming at providing a valid and reliable knowledge ground for enabling semantic interoperability of marine species data, in this paper the authors motivate a top level ontology, called MarineTLO and discuss its use for creating MarineTLO-based warehouses. Design/methodology/approach - In this paper the authors introduce a set of motivating scenarios that highlight the need of having a top level ontology. Afterwards the authors describe the main data sources (Fisheries Linked Open Data, ECOSCOPE, WoRMS, FishBase and DBpedia) that will be used as a basis for constructing the MarineTLO. Findings - The paper discusses about the exploitation of MarineTLO for the construction of a warehouse. Furthermore a series of uses of the MarineTLO-based warehouse is being reported. Originality/value - In this paper the authors described the design of a top level ontology for the marine domain able to satisfy the need for maintaining integrated sets of facts about marine species and thus assisting ongoing research on biodiversity. Apart from the ontology the authors also elaborated with the mappings that are required for building integrated warehouses.</abstract>
    <source>PROGRAM, vol. 50 (issue 1), pp. 16-40</source>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>[Colombo et al., 2009]: G. Colombo, D. Merico, Z. Nagy, F. De Paoli, M. Antoniotti, and G. Mauri. Ontological Modeling at a Domain Interface: Bridging Clinical and Biomolecular Knowledge. The Knowledge Engineering Review, Vol. 24:3, 205-224. 2009, Cambridge University Press, doi:10.1017/S0269888909990026.</citation>
        <citation>[Doerr et al., 2003] :M. Doerr, J. Hunter, and C. Lagoze. Towards a core ontology for information integration. Journal of Digital Information, 4:2003, 2003.</citation>
        <citation>[Fafalios et al., 2012]: P. Fafalios, I. Kitsos, Y. Marketakis, C. Baldassarre, M. Salampasis, and Y. Tzitzikas. Web searching with entity mining at query time. In Procs of the 5th Information Retrieval Facility Conference, 2012.</citation>
        <citation>[Fafalios and Tzitzikas,2013]: P. Fafalios and Y. Tzitzikas. X-ENS: Semantic Enrichment of Web Search Results at Real-Time. In Procs of SIGIR'13, 2013.</citation>
        <citation>[Gangemi et al., 2002] A. Gangemi, F. Fisseha, I. Pettman, and J. Keizer. Building an integrated formal ontology for semantic interoperability in the fishery domain. In Procs of ISWC'2002, 2002.</citation>
        <citation>[Haslhofer et al., 2011]: B. Haslhofer, E. Momeni Roochi, B. Schandl, and S. Zander. Europeana RDF store report. 2011.</citation>
        <citation>[Hitzler et al., 2009]: P. Hitzler, M. Krtzsch, B. Parsia, P. F. Patel-Schneider, and S. Rudolph. OWL 2 Web Ontology Language Primer. W3C Recommendation, World Wide Web Consortium, October 2009.</citation>
        <citation>[Ibrahim and Pyster,2004]: L. Ibrahim and A. Pyster. A single model for process improvement. IT Professional, 6(3), May 2004.</citation>
        <citation>[Madin et al., 2007]: J. Madin, S. Bowers, M. Schildhauer, S. Krivov, D. Pennington, and F. Villa. An ontology for describing and synthesizing ecological observation data. Ecological informatics, 2(3):279{296, 2007.</citation>
        <citation>[Moreau et al., 2011]: L. Moreau, B. Clifford, J. Freire, J. Futrelle, Y. Gil, P. Groth, N. Kwasnikowska, S.Miles, P. Missier, J. Myers, B. Plale, Y. Simmhan, E. Stephan, J.V. den Bussche, The open provenance model core specification (v1.1), Future Generation Computer Systems 27 (6) (2011) 743-756. doi:10.1016/j.future.2010.07. 005. URL: http://www.sciencedirect.com/science/article/B6V06-50J9GPP3/2/09d841ac888ed813ccc3cce84383ce27.</citation>
        <citation>[Mosca et al., 2009]: A. Mosca, M. Palmonari, and F. Sartori. An upper-level Functional Design Ontology to Support Knowledge Management in SME-based E-Manufacturing of Mechanical Products. The Knowledge Engineering Review, Vol. 24:3, 265-285. &amp; 2009, Cambridge University Press. doi:10.1017/S0269888909990063.</citation>
        <citation>[Mountantonakis et al., 2014]: M. Mountantonakis, C. Allocca, P. Fafalios, N. Minadakis, Y. Marketakis, C. Lantzaki, and Y. Tzitzikas. Extending VoID for expressing the connectivity [Noessner et al., 2010]: J. Noessner, M. Niepert, C. Meilicke, and H. Stuckenschmidt. Leveraging terminological structure for object reconciliation. Procs of ESWC'10, 2010.</citation>
        <citation>[Sacco and Tziztikas,2009]: G. M. Sacco and Y. Tzitzikas. Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience, volume 25. Springer, 2009.</citation>
        <citation>[Simeoni et al., 2007]: F. Simeoni, L. Candela, G. Kakaletris, M. Sibeko, P. Pagano, G. Papanikos, P. Polydoras, Y. Ioannidis, D. Aarvaag, F. Crestani. A Grid-based Infrastructure for Distributed Retrieval. In Research and Advanced Technology for Digital Libraries, 11th European Conference, ECDL 2007, Budapest, Hungary, September 16-21, 2007, Proceedings, Springer-Verlag, 2007, 4675, 161-173</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:346526</identifier>
    <title>Distributional correspondence indexing for cross-lingual and cross-domain sentiment classification</title>
    <creators>
        <creator orcid="0000-0002-0377-1025">Moreo Fernandez A</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Transfer learning</subject>
        <subject>Artificial Intelligence</subject>
        <subject>Sentiment classification</subject>
        <subject>Cross-lingual classification</subject>
        <subject>Cross-domain classification</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="The Journal of Artificial Intelligence Research" rights="Open Access">https://doi.org/10.1613/jair.4762</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1613/jair.4762</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/336124</url>
        <url hostedBy="The Journal of Artificial Intelligence Research" rights="Open Access">https://jair.org/index.php/jair/article/download/10977/26127</url>
        <url hostedBy="jair.org" rights="Open Access">http://jair.org/papers/paper4762.html</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346526/2016_%20346526.published.pdf?id=people______%3A%3A5ad6eaa42671fa80ac24c18d7c010937</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/336124/1/prod_346526-doc_108843.pdf</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-84958175298&amp;partnerID=MN8TOARS</url>
    </urls>
    <dois>
        <doi>10.1613/jair.4762</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Domain Adaptation (DA) techniques aim at enabling machine learning methods learn effective classifiers for a "target'' domain when the only available training data belongs to a different "source'' domain. In this paper we present the Distributional Correspondence Indexing (DCI) method for domain adaptation in sentiment classification. DCI derives term representations in a vector space common to both domains where each dimension reflects its distributional correspondence to a pivot, i.e., to a highly predictive term that behaves similarly across domains. Term correspondence is quantified by means of a distributional correspondence function (DCF). We propose a number of efficient DCFs that are motivated by the distributional hypothesis, i.e., the hypothesis according to which terms with similar meaning tend to have similar distributions in text. Experiments show that DCI obtains better performance than current state-of-the-art techniques for cross-lingual and cross-domain sentiment classification. DCI also brings about a significantly reduced computational cost, and requires a smaller amount of human intervention. As a final contribution, we discuss a more challenging formulation of the domain adaptation problem, in which both the cross-domain and cross-lingual dimensions are tackled simultaneously.</abstract>
    <source>THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, vol. 55, pp. 131-163</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:320</infoId>
            <name>Moreo Fernandez, Alejandro David</name>
            <orcid>0000-0002-0377-1025</orcid>
            <affiliation code="dnet:pers:320" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:346535</identifier>
    <title>Rüzgar Hizi Öngörüsü: ÇeÅ?me Yarimadasina BakiÅ? (Wind Speed Prediction: case of Cesme Peninsula)</title>
    <creators>
        <creator>Karakus O</creator>
        <creator>Altinkaya M A</creator>
        <creator orcid="0000-0002-2608-8034">Kuruoglu E E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Wind speed prediction</subject>
        <subject>Wind energy</subject>
        <subject>Polynomial autoregressive model</subject>
        <subject>Volterra model</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Turkish</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/336540</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/336540&amp;bitstreamId=8aa57250-6d28-4100-8aa0-10bd38b5aebc</url>
        <url hostedBy="view.publitas.com" rights="Restricted">https://view.publitas.com/p222-1755/ruzgar-enerjisi-dergisi-aralik15-ocak16-sayi-8/page/24-25</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>In this work we descrive our studies in modelling and predicting wind speed in the Cesme Peninsula of Izmir, the wind map of which is now available. In particular we propose a polynomial autoregressive model and compare its performance with state of the art methods.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1539</infoId>
            <name>Kuruoglu, Ercan</name>
            <orcid>0000-0002-2608-8034</orcid>
            <affiliation code="dnet:pers:1539" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:346538</identifier>
    <title>Measurement of liquid film distribution in near-horizontal pipes with an array of wire probes</title>
    <creators>
        <creator>Andreussi P</creator>
        <creator>Pitton E</creator>
        <creator>Ciandri P</creator>
        <creator>Picciaia D</creator>
        <creator>Vignali A</creator>
        <creator>Margarone M</creator>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Modeling and Simulation</subject>
        <subject>Electrical and Electronic Engineering</subject>
        <subject>Conductance probes</subject>
        <subject>Film flow rate</subject>
        <subject>Multiphase flow</subject>
        <subject>Computer Science Applications</subject>
        <subject>Instrumentation</subject>
        <subject>Film thickness</subject>
        <subject>Stratified flow</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.flowmeasinst.2015.12.007</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/336543</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346538/2016_346538.postprint.pdf?id=people______%3A%3Af29e8e34ab05d21ccaac9101270096e1</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0955598615300479</url>
        <url hostedBy="Flow Measurement and Instrumentation" rights="Closed Access">https://doi.org/10.1016/j.flowmeasinst.2015.12.007</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/336543/2/prod_346538-doc_166321.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/336543&amp;bitstreamId=b304e919-f188-43b3-8474-6e3892bf977a</url>
    </urls>
    <dois>
        <doi>10.1016/j.flowmeasinst.2015.12.007</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>A test section consisting of a circumferential array of conductance probes has been developed to measure the thickness distribution around the pipe wall of a liquid layer flowing in near horizontal pipes. When the film thickness is known, the array can be employed to measure the local film flow rate by injecting a high conductivity tracer into the liquid flowing at pipe wall.The test section consists of a short pipe made of a non-conducting material installed in a flow rig designed to operate at an appreciable pressure (40 bar). The flow loop is made of metallic pipes connected to the electrical earth. The conductance probes are made of three parallel, rigid wires spaced along the flow direction and are used to measure the height or the electrical conductivity of the liquid layer. The three-electrode geometry is aimed at minimizing current losses toward earth. The simultaneous operation of all the probes of the array, without multiplexing, allows a substantial reduction of current dispersion and a good circumferential resolution of film thickness or conductivity measurements. The probe geometry may generate an appreciable disturbance to the gas-liquid interface. This aspect of the proposed method has been studied with an experimental and numerical investigation relative to free falling liquid layers.</abstract>
    <source>FLOW MEASUREMENT AND INSTRUMENTATION, vol. 47, pp. 71-82</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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    </cnrPersons>
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            <acronym>01 Contributo su Rivista</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:346543</identifier>
    <title>Network-based performance indicators for football teams</title>
    <creators>
        <creator orcid="0000-0002-1547-6007">Pappalardo L</creator>
        <creator orcid="0000-0002-8085-9338">Cintia P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Sports analytics</subject>
        <subject>Database Applications.</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/336548</url>
        <url hostedBy="netsci-x.net" rights="Open Access">http://netsci-x.net/?page_id=412</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346543/2016_346543.pdf?id=people______%3A%3A427cf6bc95bb9cbb03e7e5bd5e66ae25</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/336548/1/prod_346543-doc_108850.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Sports analytics has evolved in recent years in an amazing way, thanks to the sensing technologies that provide data streams extracted from every game. Despite the increasing wealth of data, there is not yet a consolidated repertoire of indicators for the various facets of team and players performance. In this poster we propose two data-driven approaches to measure the performance of football teams and football players.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:273</infoId>
            <name>Cintia, Paolo</name>
            <orcid>0000-0002-8085-9338</orcid>
            <affiliation code="dnet:pers:273" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:234</infoId>
            <name>Pappalardo, Luca</name>
            <orcid>0000-0002-1547-6007</orcid>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:346559</identifier>
    <title>Threats to the Quality of Groundwater Resources: Prevention and Control</title>
    <creators>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
        <creator>Dotsika E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Groundwater</subject>
        <subject>Management</subject>
        <subject>Monitoring</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-662-48596-5</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/336563</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/book/10.1007%2F978-3-662-48596-5</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-662-48596-5</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/336563/1/prod_346559-doc_110008.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-662-48596-5</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This book focuses on scientific and technological aspects of groundwater-resources assessment and surveillance. It describes relevant risks and investigates selected techniques for the monitoring and mitigation of the individuated threats to groundwater quality. The authors discuss the concepts of groundwater-resources protection and offer examples of both geogenic and anthropogenic degradation of groundwater quality, such as heavy metals from mining activities and natural water-rock interactions, as well as risk of contamination due to geological CO2 storage practices etc. The volume also covers non-invasive monitoring techniques and briefly addresses innovative sensor technologies for the online assessment of water quality. Furthermore, the role played by geochemical techniques, the potential of environmental isotopes and the support provided by physical modelling are highlighted. The chapters guide the reader through various viewpoints, according to the diverse disciplines involved, without aiming to be exhaustive, but instead picking representative topics for their relevance in the context of groundwater protection and control. This book will be of interest to advanced students, researchers, policy-makers and stakeholders at various levels.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <code>com_20.500.14243_37</code>
            <name>03 Libro</name>
            <acronym>03 Libro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_81</code>
            <name>03.12 Curatela di monografia/trattato scientifico</name>
            <acronym>03.12 Curatela di monografia/trattato scientifico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:346575</identifier>
    <title>Reconstruction of 3D chromatin structure from chromosome conformation capture data (Release 2.0)</title>
    <creators>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
        <creator orcid="0000-0002-1590-7890">Caudai C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Chromosome conformation capture</subject>
        <subject>Computational biology</subject>
        <subject>Python source code</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/336579</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>This Python code provides an estimate of the 3D structure of the chromatin fibre in cell nuclei from the contact frequency data produced by a 'Chromosome conformation capture' experiment. The only input required is a text file containing a general real matrix of contact frequencies. The related genomic resolution, along with a few geometric parameters and the parameters for tuning the estimation algorithm must be set in advance in a special section of the source code. The whole fibre is divided in independent segments, whose structures are estimated and modelled as single elements of a lower-resolution fibre that is treated recursively in the same way, until it cannot be divided anymore into independent segments. The full-resolution chain is then reconstructed by another recursive procedure.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:246</infoId>
            <name>Caudai, Claudia</name>
            <orcid>0000-0002-1590-7890</orcid>
            <affiliation code="dnet:pers:246" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:346599</identifier>
    <title>Criticality of human breath detection with a portable device II: data analysis</title>
    <creators>
        <creator orcid="0000-0002-7814-5280">Germanese D</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0002-1036-4583">Paradisi P</creator>
        <creator>Guidi M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Breath analysis</subject>
        <subject>Data analysis</subject>
        <subject>Statistics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/310542</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346599/2016_346599.pdf?id=people______%3A%3Ac4676b8c7d3df464dc87d22d1405580a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/310542/1/prod_346599-doc_108876.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Human breath is largely composed of oxygen, carbon dioxide, water vapor, nitric oxide, and numerous volatile organic compounds (VOCs) [1, 2]. Changes in the concentration of the molecules in VOCs could suggest various diseases or at least changes in the metabolism. Indeed, breath gases are recognized to be excellent indicators of the presence of diseases and clinical conditions. Such gases have been identified as biomarkers using accurate but expensive benchtop instrumentations such as gas chromatography (GC) or electronic nose (e-nose) [1]. As a consequence, in recent years, it has been stimulated the necessity to develop a portable device for breath analysis, easy to use, and feasible for patients living far from medical structures or physicians. In the framework of SEMEOTICONS (SEMEiotic Oriented Technology for Idividual's CardiOmetabolic risk self-assessmeNt and Self-monitoring) European Project, we developed a low cost, portable, easy-to- use device for the analysis of breath composition: the Wize Sniffer (WS). The WS captures breath samples, the chemical selective sensors sense the sample and accordingly form a sort of odor-print of healthy people or patients with known and specific diseases, in order to evaluate the well-being state of a human subject [3, 4]. It should be noted that does not exist a general definition of "well-being state", rather some indices for well-being that can be correlated to cardio-metabolic risk, which is representing the leading cause of worldwide mortality [3, 5]. The first prototype of such device is based on commercial, semiconductor-based gas sensors. This type of gas sensors is very robust and easy to integrate. Nevertheless, they are non- selective at all. This leads to several issues for data analysis. In this report we focus our attention on the different strategies for data analysis, evaluating also their performances and outcomes.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1528</infoId>
            <name>Paradisi, Paolo</name>
            <orcid>0000-0002-1036-4583</orcid>
            <affiliation code="dnet:pers:1528" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:346605</identifier>
    <title>Criticality of human breath detection with a portable device III: integration with other devices for health care and self-monitoring</title>
    <creators>
        <creator orcid="0000-0002-1448-0960">Righi M.</creator>
        <creator orcid="0000-0002-7814-5280">Germanese D.</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M.</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M.</creator>
        <creator orcid="0000-0002-1036-4583">Paradisi P.</creator>
        <creator>Guidi M.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Breath analysis</subject>
        <subject>Portable device</subject>
        <subject>Data analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::83dd13fca073df8b490b14bd7e69b2ba</documentPage>
    <urls>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346605/2016_346605.pdf?id=people______%3A%3A83dd13fca073df8b490b14bd7e69b2ba</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/346605</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Human breath is largely composed of oxygen, carbon dioxide, water vapor, nitric oxide, and numerous volatile organic compounds (VOCs) [1, 2]. Changes in the concentration of the molecules in VOCs could suggest various diseases or at least changes in the metabolism. Indeed, breath gases are recognized to be excellent indicators of the presence of diseases and clinical conditions. Such gases have been identified as biomarkers using accurate but expensive benchtop instrumentations such as gas chromatography (GC) or electronic nose (e-nose) [1]. As a consequence, in recent years, it has been stimulated the necessity to develop a portable device for breath analysis, easy to use, and feasible for patients living far from medical structures or physicians. In the framework of SEMEOTICONS (SEMEiotic Oriented Technology for Idividual's CardiOmetabolic risk self-assessmeNt and Self-monitoring) European Project, we developed a low cost, portable, easy-to- use device for the analysis of breath composition: the Wize Sniffer (WS). The WS captures breath samples, the chemical selective sensors sense the sample and accordingly form a sort of odor-print of healthy people or patients with known and specific diseases, in order to evaluate the well-being state of a human subject [3, 4]. It should be noted that does not exist a general definition of "well-being state", rather some indices for well-being that can be correlated to cardio-metabolic risk, which is representing the leading cause of worldwide mortality [3, 5]. The breath molecules detected by the Wize Sniffer are the following, all related to those noxious habits for cardio-metabolic risk (alcohol intake, smoking, wrong diet): ï,· Carbon Monoxide (CO): CO is present in cigarette smoke (it is the major component, 75,95%). Mean carbon monoxide concentration in exhaled breath is about 3,5 ppm. Increasing levels of exhaled carbon monoxide can be detected in smoking subjects: 13.8 - 29 ppm. ï,· Carbon Dioxide (CO2) and Oxygen (O2): Exhaled air has a decreased amount of oxygen and an increased amount of CO2. These amounts show how much O2 is retained within the body for use by the cells and how much CO2 is produced as a by-product of cellular metabolism. CO2 is also one of constituents of tobacco smoke (13%). Exhaled O2 amount is about 13.6%-16% while mean CO2 concentration in exhaled breath is about 4% (= 40000ppm). Lower values may be due to respiration disorders. ï,· Ethanol: Exogenous Ethanol comes from alcoholic drink. It is important to note that it is recognized that ethanol breakdown leads to an accumulation of free radicals into the cells, a clear example of oxidative stress. Ethanol may cause arrhythmias and depresses the contractility of cardiac muscle. ï,· Nitrogen (di)Oxide (NOx): it is a vasodilator and it modulates inflammatory response (operating in combination with CO and Hydrogen Sulfide). It is also a good indicator for asthma diseases. ï,· Hydrogen Sulfide (H2S): it is a vascular relaxant agent, and has a therapeutic effect in various cardiovascular diseases (myocardial injury, hypertension). In general, H2S could have therapeutic effect against oxidative stress due to its capability to neutralize the action of free radicals. ï,· Ammonia (NH3): Mean baseline levels of ammonia in exhaled gas are about 0.42ppm. Elevated breath ammonia usually could be due to liver disease, such also to kidney disease. Ammonia is also one of the major compounds, together with CO, of tobacco fumes (approximately 22,15%). ï,· Hydrogen (H2): The production of hydrogen is a metabolic consequence of carbohydrate fermentation by anaerobic bacteria. This hydrogen traverses the gut wall, and is transported via the circulation to the lungs, where is execrated in exhaled breath. Not only, a certain amount of exhaled hydrogen is the result of fermentation by oropharingeal bacteria. As a consequence, increased values of breath hydrogen may be due to overweight problems, intestinal diseases, improper life-style. The baseline value is about 9.1ppm. In this report, we describe briefly the hardware/software architecture of the Wize Sniffer, and how it can be integrated in other multisensory platform for health care and self-monitoring.</abstract>
    <source>ISTI Technical reports, 2016</source>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1158</infoId>
            <name>Guidi, Massimo</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1528</infoId>
            <name>Paradisi, Paolo</name>
            <orcid>0000-0002-1036-4583</orcid>
            <affiliation code="dnet:pers:1528" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
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<record>
    <identifier>oai:it.cnr:prodotti:346608</identifier>
    <title>Criticality of human breath detection with a portable device I: nanotechniques for improving sensing materials</title>
    <creators>
        <creator orcid="0000-0002-7814-5280">Germanese D</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator>Chiellini F</creator>
        <creator>Guidi M</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0002-1036-4583">Paradisi P</creator>
        <creator>Puppi D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Breath analysis</subject>
        <subject>Gas sensors</subject>
        <subject>Semiconductors</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/310550</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346608/2016_346608.pdf?id=people______%3A%3A779f21f53cbf55d29b03ca1046d3bb2e</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/310550/1/prod_346608-doc_108882.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Human breath is largely composed of oxygen, carbon dioxide, water vapor, nitric oxide, and numerous volatile organic compounds (VOCs) [1, 2]. Changes in the concentration of the molecules in VOCs could suggest various diseases or at least changes in the metabolism. Indeed, breath gases are recognized to be excellent indicators of the presence of diseases and clinical conditions. Such gases have been identified as biomarkers using accurate but expensive benchtop instrumentations such as gas chromatography (GC) or electronic nose (e-nose) [1]. As a consequence, in recent years, it has been stimulated the necessity to develop a portable device for breath analysis, easy to use, and feasible for patients living far from medical structures or physicians. In the framework of SEMEOTICONS (SEMEiotic Oriented Technology for Idividual's CardiOmetabolic risk self-assessmeNt and Self-monitoring) European Project, we developed a low cost, portable, easy-to- use device for the analysis of breath composition: the Wize Sniffer (WS). The first prototype of such device is based on commercial, semiconductor-based gas sensors. This type of sensors is very robust and easy to be integrated. Nevertheless, they are not selective, thus impeding the discrimination of each type of molecule they are able to detect. In this report we describe a method to improve the sensitivity of semiconductor-based gas sensors. In particular, we focus our attention on the development of a hybrid, ad-hoc sensor, based on Polyaniline sol- gel nano-film, to detect Nitric Oxide. Why Nitric Oxide? NOx (Nitrogen (di)Oxide) is a VOC that plays an important role as an indicator of metabolic since it is related to endothelial function [8]. In addition, it is a vasodilator and it modulates inflammatory response (operating in combination with CO and Hydrogen Sulfide). It is also a good indicator for asthma diseases. Detection of NO presents some challenging problems, because low cost sensors are not available. As a consequence, the development of a sensor for NO to be used in a portable device for breath analysis and taking advantage by nano-scale sensing materials imposed us to work harmonizing existing commercial sensors with innovative sensing materials.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1528</infoId>
            <name>Paradisi, Paolo</name>
            <orcid>0000-0002-1036-4583</orcid>
            <affiliation code="dnet:pers:1528" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:346611</identifier>
    <title>Towards the wize sniffer 1.1: a functional gas sensor for breath analysis</title>
    <creators>
        <creator orcid="0000-0002-7814-5280">Germanese D</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0002-1036-4583">Paradisi P</creator>
        <creator>Guidi M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Breath analysis</subject>
        <subject>Portable device</subject>
        <subject>Data analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/310553</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/346611/2016_346611.pdf?id=people______%3A%3Af3e787ffafafbc056054d9218befbcc6</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/310553/1/prod_346611-doc_108883.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this report, we describe the manufacturing of a device for breath analysis. Breath analysis offers a relatively inexpensive, rapid, and non-invasive method for detecting a variety of life habits and possible diseases. Our activity was focused on the design and functionality of the Wize Sniffer (WS), a new portable device for breath analysis limited to an effective number of substances. Within the European SEMEOTICONS (SEMEiotic Oriented Technology for Idividual's CardiOmetabolic risk self-assessmeNt and Self-monitoring) Project by the WS, we intend a hardware/software tool for both the analysis of volatile organic compounds of breath and a platform for data mining and data integration. The WS should be able to provide useful information about the "breathprint", i.e., the analog of fingerprint for the state of health of an individual, to be used in the Virtual Individual Map. In this first period of activity, the WS has been designed in two main configurations. One configuration to work with commercial sensors (that is going to be operative) and the other one configuration to work with customized sensors made using electrospun nanofibers as sensing material. This last configuration is still work in progress. The efforts for the design of the WS involved also statistical data processing.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1528</infoId>
            <name>Paradisi, Paolo</name>
            <orcid>0000-0002-1036-4583</orcid>
            <affiliation code="dnet:pers:1528" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:347040</identifier>
    <title>Scope-aided test prioritization, selection and minimization for software reuse</title>
    <creators>
        <creator>Miranda B</creator>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>In-scope entity</subject>
        <subject>Out-of-scope entity</subject>
        <subject>Test case selection</subject>
        <subject>Test case prioritization</subject>
        <subject>Test suite minimization</subject>
        <subject>Test of reused code</subject>
        <subject>Testing scope</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/313878</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313878&amp;bitstreamId=41037890-f750-477e-8267-30092021910d</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Software reuse can improve productivity, but does not exempt developers from the need to test the reused code into the new context. For this purpose, we propose here specific approaches to white-box test prioritization, selection and minimization that take into account the reuse context when reordering or selecting test cases, by leveraging possible constraints delimiting the new input domain scope. Our scope-aided testing approach aims at detecting those faults that under such constraints would be more likely triggered in the new reuse context, and is proposed as a boost to existing approaches. Our empirical evaluation shows that in test suite prioritization we can improve the average rate of faults detected when considering faults that are in scope, while remaining competitive considering all faults; in test case selection and minimization we can considerably reduce the test suite size, with small to no extra impact on fault detection effectiveness considering both in-scope and all faults. Indeed, in minimization, we improve the in-scope fault detection effectiveness in all cases.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:347174</identifier>
    <title>Making puzzles green and useful for adaptive identity management in large-scale distributed systems</title>
    <creators>
        <creator>Cordeiro Wldc</creator>
        <creator>Santos Fr</creator>
        <creator>Barcelos Mp</creator>
        <creator>Gaspary Lp</creator>
        <creator orcid="0000-0002-8852-3062">Kavalionak H</creator>
        <creator>Guerrieri A</creator>
        <creator>Montresor A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational puzzles</subject>
        <subject>Peer-to-peer networks</subject>
        <subject>Proof of work</subject>
        <subject>Computer Networks and Communications</subject>
        <subject>Sybil attack</subject>
        <subject>Fake accounts</subject>
        <subject>Identity management</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Computer Networks" rights="Closed Access">https://doi.org/10.1016/j.comnet.2015.12.005</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.comnet.2015.12.005</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/314428</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/314428&amp;bitstreamId=c66d1b76-c696-4099-9913-cdb114079824</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">http://www.sciencedirect.com/science/article/pii/S1389128615004818</url>
    </urls>
    <dois>
        <doi>10.1016/j.comnet.2015.12.005</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Various online systems offer a lightweight process for creating accounts (e.g., confirming an e-mail address), so that users can easily join them. With minimum effort, however, an attacker can subvert this process, obtain a multitude of fake accounts, and use them for malicious purposes. Puzzle-based solutions have been proposed to limit the spread of fake accounts, by establishing a price (in terms of computing resources) per identity requested. Although effective, they do not distinguish between requests coming from presumably legitimate users and potential attackers, and also lead to a significant waste of energy and computing power. In this paper, we build on adaptive puzzles and complement them with waiting time to introduce a green design for lightweight, long-term identity management; it balances the complexity of assigned puzzles based on the reputation of the origin (source) of identity requests, and reduces energy consumption caused by puzzle-solving. We also take advantage of lessons learned from massive distributed computing to come up with a design that makes puzzle-processing useful. Based on a set of experiments, we show that our solution provides significant energy savings and makes puzzle-solving a useful task, while not compromising effectiveness in limiting the spread of fake accounts.</abstract>
    <source>COMPUTER NETWORKS (1999), vol. 95, pp. 97-114</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:410</infoId>
            <name>Kavalionak, Hanna</name>
            <orcid>0000-0002-8852-3062</orcid>
            <affiliation code="dnet:pers:410" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:347186</identifier>
    <title>Noninvasive analysis of low-contrast images on ancient textiles: the case of the Shroud of Arquat</title>
    <creators>
        <creator>Di Lazzaro P</creator>
        <creator>Guarneri M</creator>
        <creator>Murra D</creator>
        <creator>Spizzichino V</creator>
        <creator>Danielis A</creator>
        <creator>Piraccini V</creator>
        <creator orcid="0000-0002-8373-5330">Missori M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Spectroscopy</subject>
        <subject>Image processing</subject>
        <subject>Laser induced fluorescence</subject>
        <subject>Conservation</subject>
        <subject>General Economics</subject>
        <subject>Cellulose</subject>
        <subject>Econometrics and Finance</subject>
        <subject>Reflectance spectra</subject>
        <subject>Near infrared</subject>
        <subject>Imaging topological radar</subject>
        <subject>Chemistry (miscellaneous)</subject>
        <subject>Materials Science (miscellaneous)</subject>
        <subject>Archeology</subject>
        <subject>Cultural Heritage</subject>
        <subject>Optical analysis</subject>
        <subject>3D Laser scanner</subject>
        <subject>Absorption spectra</subject>
        <subject>Shroud of Turin</subject>
        <subject>Ancient textiles</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Journal of Cultural Heritage" rights="Closed Access">https://doi.org/10.1016/j.culher.2015.07.008</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.culher.2015.07.008</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/314840</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/314840&amp;bitstreamId=4705f52a-bcf1-47e3-8b17-e927ba8264f7</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">http://www.sciencedirect.com/science/article/pii/S1296207415001247</url>
        <url hostedBy="ENEA Open Archive" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-84959490564&amp;partnerID=40&amp;md5=bcfd79de3c6ed97bc3fea21eafa7e3b4</url>
    </urls>
    <dois>
        <doi>10.1016/j.culher.2015.07.008</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We present the results of the first in-depth measurements of the linen cloth of the shroud of Arquata, a precious copy of the Shroud of Turin, which dates back to 1653. The measurements aimed at finding the nature of the faint and low-contrast body impressions on the linen cloth, which are not produced by drawings or paintings as in the other copies of the Shroud of Turin. In general, the optical analysis and the imaging of low-contrast stains on ancient textiles is a complex task, due to the irregular surface and the influence of spectrum, position and uniformity of the illuminating source on colour accuracy and rendition. A correct evaluation requires a multidisciplinary approach. We used noninvasive technolo- gies, including imaging topological radar, laser induced fluorescence, absolute diffused reflectance and absorption spectra, which were previously used to study frescoes, paintings, antique papers, but were never exploited on ancient textiles. The combined results of our measurements and data elaboration allowed identifying the origins of the body impressions, of the stains simulating blood and of the other marks embedded on the linen cloth. Our results can be used to plan the proper long-term conservation of the linen cloth and of marks on it.</abstract>
    <source>JOURNAL OF CULTURAL HERITAGE, vol. 17, pp. 14-19</source>
    <projects/>
    <cnrPersons/>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou357</code>
            <name>Istituto dei Sistemi Complessi - ISC</name>
            <acronym>Istituto dei Sistemi Complessi - ISC</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:347347</identifier>
    <title>Achieving functional and non functional interoperability through synthesized connectors</title>
    <creators>
        <creator>Nostro N</creator>
        <creator>Spalazzese R</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator>Inverardi P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Connector synthesis for interoperability</subject>
        <subject>Dependability</subject>
        <subject>Information Systems</subject>
        <subject>Hardware and Architecture</subject>
        <subject>Software</subject>
        <subject>Performance</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.jss.2015.09.038</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/315401</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/347347/2016_347347.postprint.pdf?id=people______%3A%3A3ed9c2500e83b5ecf7a1bb57ed8ebaca</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0164121215002149</url>
        <url hostedBy="Journal of Systems and Software" rights="Closed Access">https://doi.org/10.1016/j.jss.2015.09.038</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/315401/2/prod_347347-doc_162694.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315401&amp;bitstreamId=be0a3e26-b96b-4acb-8fda-7a5fce4ae1e1</url>
    </urls>
    <dois>
        <doi>10.1016/j.jss.2015.09.038</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Our everyday life is pervaded by the use of a number of heterogeneous systems that are continuously and dynamically available in the networked environment to interoperate to achieve some goal. Goals may include both functional and non functional aspects and the evolving nature of such environment requires automated solutions as means to reach the needed level of flexibility. Achieving interoperability in such environment is a challenging problem. Even though some of such systems may in principle interact since they have compatible functionalities and similar interaction protocols, mismatches in their protocols and non functional issues arising from the environment may undermine their seamless interoperability. In this paper, we propose an approach for the automated synthesis of application layer connectors between heterogeneous networked systems (NSs) addressing both functional and some non functional interoperability. Our contributions are: (i) an automated connectors synthesis approach for NSs interoperability taking into account functional, performance and dependability aspects spanning pre-deployment time and run-time; (ii) a connector adaptation process, related to the performance and dependability aspects; and (iii) a stochastic model-based implementation of the performance and dependability analysis. In addition, we implemented, analyzed, and critically discussed a case study.</abstract>
    <source>THE JOURNAL OF SYSTEMS AND SOFTWARE, vol. 111, pp. 185-199</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-319-47474-8_11" url="https://dx.doi.org/10.1007/978-3-319-47474-8_11">Synthesis and Verification of Self-aware Computing Systems</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:347348</identifier>
    <title>EAGLE - L'infrastruttura di aggregazione dei dati e i servizi a supporto del portale e delle applicazioni</title>
    <creators>
        <creator orcid="0000-0002-5193-7851">Mannocci A</creator>
        <creator orcid="0000-0002-7113-2129">Casarosa V</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator orcid="0000-0001-5603-702X">Zoppi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Data Infrastructure</subject>
        <subject>Image recognition</subject>
        <subject>Metadata Formats</subject>
        <subject>Digital Libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/315402</url>
        <url hostedBy="www.formavrbis.com" rights="Open Access">http://www.formavrbis.com/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/315402/1/prod_347348-doc_109265.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Epigraphic archives, containing collections of editions about ancient Greek and Latin inscriptions, have been created in several European countries during the last couple of centuries. Today, the project EAGLE (Europeana network of Ancient Greek and Latin Epigraphy, a Best Practice Network partially funded by the European Commission) provides a single access point for the content of about 15 epigraphic archives, totaling about 1,5M digital objects. This paper illustrates some of the challenges encountered and their solution for the realization of the EAGLE data infrastructure. The challenges mainly concern the harmonization, interoperability and service integration issues caused by the aggregation of metadata from heterogeneous archives (different data models and metadata schemas, and exchange formats). EAGLE has defined a common data model for epigraphic information, into which data models from different archives can be optimally mapped. The data infrastructure is based on the D-NET software toolkit, capable of dealing with data collection, mapping, clean-ing, indexing, and access provisioning through web portals or standard access protocols.</abstract>
    <source>FORMA URBIS, vol. XXI (issue 1), pp. 18-21</source>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>325122</code>
            <name>Europeana network of Ancient Greek and Latin Epigraphy</name>
            <acronym>Europeana network of Ancient Greek and Latin Epigraphy</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:486</infoId>
            <name>Casarosa, Vittore</name>
            <orcid>0000-0002-7113-2129</orcid>
            <affiliation code="dnet:pers:486" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:321</infoId>
            <name>Mannocci, Andrea</name>
            <orcid>0000-0002-5193-7851</orcid>
            <affiliation code="dnet:pers:321" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:792</infoId>
            <name>Zoppi, Franco</name>
            <orcid>0000-0001-5603-702X</orcid>
            <affiliation code="dnet:pers:792" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:792" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:347349</identifier>
    <title>MobiWallet - Pilot evaluation and validation (Interim version)</title>
    <creators>
        <creator orcid="0000-0002-9192-8845">Martelli F</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0002-4324-2718">Pardini F</creator>
        <creator orcid="0000-0001-5068-2861">Pieri G</creator>
        <creator orcid="0000-0001-5485-0084">Renda E</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
        <creator>Biasu G</creator>
        <creator>Ferrini V</creator>
        <creator>Davidson S</creator>
        <creator>Merle L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Evaluation</subject>
        <subject>KPI</subject>
        <subject>Balanced Scorecards</subject>
        <subject>Transport</subject>
        <subject>Ticketing</subject>
        <subject>Interoperable fare management</subject>
        <subject>Smart cities</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/315403</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=094c0bb8-491b-4b41-9b88-b2345c234a0b</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=430a3a65-ab23-401b-9367-79cf379e2a67</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=460cd5e0-143d-4147-8b97-132ddbe1ed98</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=523b9e10-09e8-4172-8bc0-c48a3ca230c0</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=9750fe3f-05b8-4933-9775-e43e6e6f0c0a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=af761775-b9dc-4922-8670-91621ae6329a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=b79e9425-b83f-42aa-8425-f4a5d8cb9693</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=cb567ee7-fb64-4d73-b058-d2315222c4f3</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=de42e259-526e-41e9-a172-168c316903e6</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315403&amp;bitstreamId=ff7c4bb5-4547-43cf-8ef5-8a0b3a74ca43</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This first evaluation deliverable includes initial data gatherings from each of the pilots deployed. In order to provide relevance to the data obtained from the pilots, the MobiWallet objectives and goals have been refined and specific metrics used to evaluate each pilot have been gathered prior to the execution of the evaluation. These metrics include both technical aspects of the solution as well as user satisfaction and adoption metrics to properly assess the impact of the pilots.</abstract>
    <source/>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>621027</code>
            <name>Mobility and Transport Digital Wallet</name>
            <acronym>Mobility and Transport Digital Wallet</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:652</infoId>
            <name>Martelli, Francesca (id: 359)</name>
            <orcid>0000-0002-9192-8845</orcid>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:170</infoId>
            <name>Pardini, Francesca</name>
            <orcid>0000-0002-4324-2718</orcid>
            <affiliation code="dnet:pers:170" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:484</infoId>
            <name>Pieri, Gabriele</name>
            <orcid>0000-0001-5068-2861</orcid>
            <affiliation code="dnet:pers:484" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:347350</identifier>
    <title>On-the-fly mean-field model-checking for attribute-based coordination preliminary version. Quanticol technical report TR-QC-01-2016</title>
    <creators>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Collective adaptive systems</subject>
        <subject>Probabilistic model-checking</subject>
        <subject>On-the-fly model-checking</subject>
        <subject>Mean-field approximation</subject>
        <subject>Discrete time Markov chains</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/315404</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/347350/2016_%20347350.pdf?id=people______%3A%3Aaf5011fb3f04b392c4f1a78551572bf7</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/315404/1/prod_347350-doc_110015.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Typical Collective Adaptive Systems (CAS) consist of a large number of interacting objects that coordinate their activities in a decentralised and often implicit way. The design of such systems is challenging. It requires scalable analysis tools and techniques to check properties of proposed system designs before they are put into operation. A promising technique is Fast Mean- Field Approximated Model-checking. In particular, the FlyFast model-checker uses an on-the-fly algorithm for bounded PCTL model-checking of selected individuals in the context of very large populations whose global behaviour is approximated using deterministic limit techniques. Recently, specific modelling languages have been proposed for CAS. A key feature of such languages is the attribute-based interaction paradigm. In this paper we present a simple non value-passing version of an attribute-based coordination language as a front-end for FlyFast. Its formal probabilistic semantics is provided and a translation to the original FlyFast language is presented and proved correct. Application examples are also provided.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
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    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:347582</identifier>
    <title>DRAGON: multidimensional range queries on distributed aggregation trees</title>
    <creators>
        <creator orcid="0000-0003-3643-5404">Carlini E</creator>
        <creator>Lulli A</creator>
        <creator>Ricci L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Tree data structures</subject>
        <subject>Internet of things</subject>
        <subject>Overlay networks</subject>
        <subject>Query processing</subject>
        <subject>Hardware and Architecture</subject>
        <subject>Software</subject>
        <subject>Peer-to-peer computing</subject>
        <subject>Computer Networks and Communications</subject>
        <subject>Distributed computing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Future Generation Computer Systems" rights="Open Access">https://arpi.unipi.it/bitstream/11568/766228/2/dragonRevised.pdf</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.future.2015.07.020</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316057</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/347582/2016_347582.preprint.pdf?id=people______%3A%3A9055e32703c07095259edb0d014ba0b8</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0167739X15002526</url>
        <url hostedBy="Future Generation Computer Systems" rights="Closed Access">https://doi.org/10.1016/j.future.2015.07.020</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316057/2/prod_347582-doc_168791.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316057&amp;bitstreamId=23cbbea4-652a-4ec9-b7a7-5c1169091224</url>
    </urls>
    <dois>
        <doi>10.1016/j.future.2015.07.020</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Distributed query processing is of paramount importance in next-generation distribution services, such as Internet of Things (IoT) and cyber-physical systems. Even if several multi-attribute range queries supports have been proposed for peer-to-peer systems, these solutions must be rethought to fully meet the requirements of new computational paradigms for IoT, like fog computing. This paper proposes dragon, an efficient support for distributed multi-dimensional range query processing targeting efficient query resolution on highly dynamic data. In dragon nodes at the edges of the network collect and publish multi-dimensional data. The nodes collectively manage an aggregation tree storing data digests which are then exploited, when resolving queries, to prune the sub-trees containing few or no relevant matches. Multi-attribute queries are managed by linearizing the attribute space through space filling curves. We extensively analysed different aggregation and query resolution strategies in a wide spectrum of experimental set-ups. We show that dragon manages efficiently fast changing data values. Further, we show that dragon resolves queries by contacting a lower number of nodes when compared to a similar approach in the state of the art.</abstract>
    <source>FUTURE GENERATION COMPUTER SYSTEMS, vol. 55, pp. 101-115</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:102</infoId>
            <name>Carlini, Emanuele</name>
            <orcid>0000-0003-3643-5404</orcid>
            <affiliation code="dnet:pers:102" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-319-96550-5_7" url="https://dx.doi.org/10.1007/978-3-319-96550-5_7">Aggregation Techniques for the Internet of Things: An Overview</dataset>
        <dataset doi="10.1007/978-981-10-6520-0_2" url="https://dx.doi.org/10.1007/978-981-10-6520-0_2">Quadrant-Based MBR-Tree Indexing Technique for Range Query Over HBase</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:348022</identifier>
    <title>Leveraging Grey Literature - Capitalizing on Value and the Return on Investment: A Cumulative Case Study.</title>
    <creators>
        <creator>Farace D</creator>
        <creator>Frantzen J</creator>
        <creator orcid="0000-0001-9518-0267">Biagioni S</creator>
        <creator orcid="0000-0001-9808-6268">Carlesi C</creator>
        <creator>Stock C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Grey Literature; Web portal; Repositories; H.3.7 Digital Libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/312299</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/312299&amp;bitstreamId=f8d8c0c0-578a-4b1e-90d1-64ad4db387ec</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Leveraging grey literature not only seeks to capitalize on its value for science and the public good, but also anticipates a return on investments in some measure. In an attempt to assess GreyNet's return on investment in grey literature, this study identifies and reviews efforts made to leverage its own information products and services, since its relaunch in 2003. The method of approach is a cumulative case study from 2003 onwards of a select number of information products and services provided by GreyNet. Each were introduced to serve the interests of the grey literature community and their production and supply remain sustained. The first step in the study provides a brief description of GreyNet's types of stakeholders and the nine selected resources intended to serve the grey literature community. Available statistics and data corresponding to the resources are also incorporated here. The second step is the design and implementation of an online survey among GreyNet stakeholders in an effort to determine their involvement. And, in the third and final step an analysis is carried out as to the observed uses of the information resources in step one with the results of the survey conducted among GreyNet stakeholders in step two. Results from this study seek to establish an accepted level of disparity among the intended purposes, observed uses, and the involvement of stakeholders. The outcome hopes to better enable GreyNet to leverage its information resources - ensuring its positional advantage and enabling it to function more effectively.</abstract>
    <source>THE GL-CONFERENCE SERIES. CONFERENCE PROCEEDINGS, pp. 165-173. Amsterdam, NL, 1-2 December 2015</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:540</infoId>
            <name>Biagioni, Stefania</name>
            <orcid>0000-0001-9518-0267</orcid>
            <affiliation code="dnet:pers:540" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:205</infoId>
            <name>Carlesi, Carlo</name>
            <orcid>0000-0001-9808-6268</orcid>
            <affiliation code="dnet:pers:205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:348024</identifier>
    <title>Grey Literature citations in the age of Digital Repositories and Open Access</title>
    <creators>
        <creator orcid="0000-0001-7323-3786">Giannini S</creator>
        <creator orcid="0000-0001-9518-0267">Biagioni S</creator>
        <creator orcid="0000-0002-6035-3663">Goggi S</creator>
        <creator orcid="0000-0003-0610-1550">Pardelli G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Grey Literature; Citations</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/312301</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/312301&amp;bitstreamId=b3d759e0-33a7-4cdb-a58b-f3baefc0a6d7</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The work measures grey citations in the years 2012, 2013 and 2014 and then describes the features of GL documents cited in different areas of knowledge: Computational Linguistics, Computer Science and Engineering. With the aim of surveying a wide and varied range of resources, we selected a sample data based on the bibliographical references of articles contained in four journals - all indexed by Scopus Citation Database and ISI Web of Science, with an Impact Factor (IF) over the last three years - and two proceedings of international conferences held in 2012 and 2014.</abstract>
    <source>THE GL-CONFERENCE SERIES. CONFERENCE PROCEEDINGS, pp. 137-145. Amsterdam, NL, 1-2 December 2015</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:540</infoId>
            <name>Biagioni, Stefania</name>
            <orcid>0000-0001-9518-0267</orcid>
            <affiliation code="dnet:pers:540" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1444</infoId>
            <name>Giannini, Silvia</name>
            <orcid>0000-0001-7323-3786</orcid>
            <affiliation code="dnet:pers:1444" type="Servizio" groupAcronym="SB" group="Servizio Biblioteca e Centro di Documentazione Scientifica (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou239</code>
            <name>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</name>
            <acronym>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:351719</identifier>
    <title>Optimising Fuzzy Description Logic Reasoners with General Concept Inclusion Absorption</title>
    <creators>
        <creator>Bobillo F</creator>
        <creator orcid="0000-0001-5998-6757">Straccia U</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Optimisation strategies</subject>
        <subject>Artificial Intelligence</subject>
        <subject>Description Logics</subject>
        <subject>Logic</subject>
        <subject>Fuzzy Logic</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.fss.2014.10.029</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/313164</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/351719/2016_351719.preprint.pdf?id=people______%3A%3Adaf3c505be2bb7658dc40d6727c647bf</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0165011414004850</url>
        <url hostedBy="Fuzzy Sets and Systems" rights="Closed Access">https://doi.org/10.1016/j.fss.2014.10.029</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/313164/2/prod_351719-doc_147629.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313164&amp;bitstreamId=ad757b47-799c-49b6-baad-080b069be81d</url>
    </urls>
    <dois>
        <doi>10.1016/j.fss.2014.10.029</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>General Concept Inclusion (GCI) absorption algorithms have shown to play an important role in classical Description Logic (DL) reasoners. They allow to transform GCIs into simpler forms to which we may apply specialised inference rules, returning important performance gains.

In this work, we develop the first absorption algorithm for fuzzy DLs, implement it in the fuzzyDL reasoner and evaluate it extensively over both classical and fuzzy ontologies. The results show that our algorithm improves the performance of the reasoner significantly.</abstract>
    <source>FUZZY SETS AND SYSTEMS, vol. 292, pp. 98-129</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1409</infoId>
            <name>Straccia, Umberto</name>
            <orcid>0000-0001-5998-6757</orcid>
            <affiliation code="dnet:pers:1409" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:352626</identifier>
    <title>Analysis of the consequences of fragmentations in low and geostationary orbits</title>
    <creators>
        <creator orcid="0000-0001-9311-2869">Rossi A</creator>
        <creator>Lewis H G</creator>
        <creator>White A E</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Krag H</creator>
        <creator>Bastida Virgili B</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Space debris</subject>
        <subject>Astronomy and Astrophysics</subject>
        <subject>Long term evolution</subject>
        <subject>Geophysics</subject>
        <subject>Atmospheric Science</subject>
        <subject>Aerospace Engineering</subject>
        <subject>Fragmentations</subject>
        <subject>General Earth and Planetary Sciences</subject>
        <subject>Space and Planetary Science</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.asr.2015.05.035</url>
        <url hostedBy="e-Prints Soton" rights="Open Access">https://eprints.soton.ac.uk/377658/</url>
        <url hostedBy="Advances in Space Research" rights="Open Access">https://eprints.soton.ac.uk/377658/1/Rossi_Analysis.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/313587</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/352626/2016_352626.postprint.pdf?id=people______%3A%3Ac03d15e27370154d60aae7e33debcfe6</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0273117715003750</url>
        <url hostedBy="Advances in Space Research" rights="Closed Access">https://doi.org/10.1016/j.asr.2015.05.035</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/313587/2/prod_352626-doc_156959.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313587&amp;bitstreamId=b3c75efb-c4cd-4e4e-875c-62fc761ffa15</url>
    </urls>
    <dois>
        <doi>10.1016/j.asr.2015.05.035</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The present distribution of intact objects is a good proxy to quantify the catastrophic collision risk and consequences in the coming decades. The results of a large number of long term simulations of the LEO environment perturbed by the collisional fragmentation of massive objects are used to identify the main driving parameters of the long term collisional evolution of the debris population and measure the danger represented by "typical" classes of space objects. An evaluation norm, able to highlight the differences between comparative long term evolution scenarios and to give a quantitative measure of the effects of specific parameters affecting the evolution, is devised. It is shown how, for collisional fragmentations in LEO, due to the highly stochastic evolution of the LEO environment, even the fragmentation of a massive spacecraft might not be able to alter the long term evolution of the LEO population beyond the intrinsic statistical variability associated with the Monte Carlo procedure. Among the parameters determining the long term effects of a collisional fragmentation in LEO, a combination of mass and altitude of the event appears to be the driving factor. In GEO, the situation is different, and the addition of a massive fragmentation lives a signature on the environment that is detectable throughout the investigated time span, with the mass being the only factor important to asses the long term consequences of a collisional fragmentation.</abstract>
    <source>ADVANCES IN SPACE RESEARCH, vol. 57 (issue 8), pp. 1652-1663</source>
    <projects>
        <project>
            <openaireId>corda_______::dd428529968529e3d4a650220da740ff</openaireId>
            <code>317185</code>
            <name>Stardust-The Asteroid and Space Debris Network</name>
            <acronym>STARDUST</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1425</infoId>
            <name>Rossi, Alessandro (mat: 673)</name>
            <orcid>0000-0001-9311-2869</orcid>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
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            <name>Istituto di Fisica Applicata - IFAC</name>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:352761</identifier>
    <title>Sistema di riconoscimento delle immagini e mobile app</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0002-5225-4278">Bolettieri P</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0001-7182-7038">Vadicamo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Content based image retrieval</subject>
        <subject>Objects recognition</subject>
        <subject>Local features</subject>
        <subject>Epigraphy</subject>
        <subject>Mobile application</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/313709</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313709&amp;bitstreamId=6e1d8eac-cb66-41c7-ba25-216077888964</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>In this paper, we present a system for visually retrieving ancient inscriptions, developed in the context of the ongoing Europeana network of Ancient Greek and Latin Epigraphy (EAGLE) EU Project. The system allows the user in front of an inscription (e.g, in a museum, street, archaeological site) or watching a reproduction (e.g., in a book, from a monitor), to automatically recognize the inscription and obtain information about it just using a smart-phone or a tablet. The experimental results show that the Vector of Locally Aggregated Descriptors is a promising encoding strategy for performing visual recognition in this specific context.</abstract>
    <source>FORMA URBIS, vol. XXI (issue 1), pp. 22-25</source>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>325122</code>
            <name>Europeana network of Ancient Greek and Latin Epigraphy</name>
            <acronym>Europeana network of Ancient Greek and Latin Epigraphy</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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        <cnrPerson>
            <infoId>dnet:pers:49</infoId>
            <name>Bolettieri, Paolo</name>
            <orcid>0000-0002-5225-4278</orcid>
            <affiliation code="dnet:pers:49" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
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            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:383</infoId>
            <name>Vadicamo, Lucia</name>
            <orcid>0000-0001-7182-7038</orcid>
            <affiliation code="dnet:pers:383" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:352767</identifier>
    <title>Studio dei dati meteo per l'efficientamento energetico del CNR</title>
    <creators>
        <creator orcid="0000-0002-2426-775X">Versienti L</creator>
        <creator orcid="0000-0003-3035-3213">Di Cristofalo S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Database relazionale</subject>
        <subject>Meteorologia</subject>
        <subject>Digital libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
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        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/313715</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/352767/2016_352767.pdf?id=people______%3A%3Ae89a56354e385135c30b3fd5cfaff2e0</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/313715/1/prod_352767-doc_114275.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The document presents possible solution designed for gathering weather data in real time</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:621</infoId>
            <name>Versienti, Loredana</name>
            <orcid>0000-0002-2426-775X</orcid>
            <affiliation code="dnet:pers:621" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <code>ou_ou602</code>
            <name>Istituto per l'Ambiente Marino Costiero - IAMC - Sede Napoli (attivo dal 18/11/1923 al 31/12/2021)</name>
            <acronym>Istituto per l'Ambiente Marino Costiero - IAMC - Sede Napoli (attivo dal 18/11/1923 al 31/12/2021)</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:352768</identifier>
    <title>Sviluppo di una ontologia per la rappresentazione della storia clinica in ambito medico</title>
    <creators>
        <creator orcid="0000-0002-2426-775X">Versienti L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ontologia</subject>
        <subject>Java</subject>
        <subject>Digital libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/313716</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313716&amp;bitstreamId=95afe248-d130-4eee-a864-3b8b05134a57</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The aim of the present technical report is to describe the ontology developed to define the medical history of the patients involved in the RIS project</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:621</infoId>
            <name>Versienti, Loredana</name>
            <orcid>0000-0002-2426-775X</orcid>
            <affiliation code="dnet:pers:621" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:352856</identifier>
    <title>The indoor positioning service</title>
    <creators>
        <creator orcid="0000-0002-3683-7158">Girolami M.</creator>
        <creator orcid="0000-0003-3835-3920">Potortì F.</creator>
        <creator orcid="0009-0008-9734-9036">Volpini F.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Indoor localization</subject>
        <subject>Navigation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="ala.isti.cnr.it" rights="Metadata Only Access">http://ala.isti.cnr.it/software/localization/releases/localization-1.2.2-SNAPSHOT.jar</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/314215</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The indoor localization service is based on the fingerprint technique. The service is implemented with a set of REST-based services running on top of the OSGi framework. The service implements various algorithms for computing the position: Euclidean distance, K-mean Euclidean distance and k-mean Manhattan Distance-</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1563</infoId>
            <name>Potortì, Francesco</name>
            <orcid>0000-0003-3835-3920</orcid>
            <affiliation code="dnet:pers:1563" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:976</infoId>
            <name>Volpini, Federico</name>
            <affiliation code="dnet:pers:976" type="Servizio" groupAcronym="SSIF - SI" group="Servizio Supporto Informatico e Formazione - Supporto Informatico (2015-ongoing)"/>
            <affiliation code="dnet:pers:976" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
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            <acronym>05 Altro</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:352857</identifier>
    <title>Studio di fattibilità sull'impiego di un accelerometro per lo studio del movimento mandibolare</title>
    <creators>
        <creator>Chimenti M</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator>Foglio Bonda P L</creator>
        <creator>Guerra P M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Gnatologia</subject>
        <subject>Signal Processing</subject>
        <subject>Sensori</subject>
        <subject>SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS</subject>
        <subject>PATTERN RECOGNITION. Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/314216</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/352857/2016_352857.pdf?id=people______%3A%3A85a308c9e7d9bc31a15ac70642709191</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/314216/1/prod_352857-doc_113782.pdf</url>
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    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The automatic detection of the movement of a point of the mandible can be a useful tool for the diagnosis of Temporo-Mandibular Disorders. Two detection techniques are presently used, based respectively on the measurement of a magnetic field and on the processing of image sequences. In the frame of an agreement between the Istituto di Scienza e Tecnologie dell'Informazione of the National Research Council of Italy and the Dipartimento di Medicina Traslazionale of the University of Eastern Piedmont "Amedeo Avogadro" regarding the development of innovative approach we studied a detection technique based on the measurements provided by an accelerometer. The paper reports the results obtained using a general purpose device, available at IEI, to detect accelerations in cyclic mechanical movements, similar to the mandibular ones.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:60</infoId>
            <name>Chimenti, Massimo</name>
            <affiliation code="dnet:pers:60" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:352904</identifier>
    <title>Leveraging Grey Literature - Capitalizing on Value and the Return on Investment: A Cumulative Case Study</title>
    <creators>
        <creator>Farace D</creator>
        <creator>Frantzen J</creator>
        <creator orcid="0000-0001-9518-0267">Biagioni S</creator>
        <creator orcid="0000-0001-9808-6268">Carlesi C</creator>
        <creator>Stock C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Grey Literature</subject>
        <subject>Case Study</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/314263</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/314263&amp;bitstreamId=c3e141da-df94-4466-8c53-a3e9a1306ef1</url>
        <url hostedBy="www.textrelease.com" rights="Restricted">http://www.textrelease.com/tgjvolume122016/tgjvolume122016.html</url>
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    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Leveraging grey literature not only seeks to capitalize on its value for science and the public good, but also anticipates a return on investments in some measure. In an attempt to assess GreyNet's return on investment in grey literature, this study identifies and reviews efforts made to leverage its own information products and services, since its relaunch in 2003. The method of approach is a cumulative case study from 2003 onwards of a select number of information products and services provided by GreyNet. Each were introduced to serve the interests of the grey literature community and their production and supply remain sustained. The first step in the study provides a brief description of GreyNet's types of stakeholders and the nine selected resources intended to serve the grey literature community. Available statistics and data corresponding to the resources are also incorporated here. The second step is the design and implementation of an online survey among GreyNet stakeholders in an effort to determine their involvement. And, in the third and final step an analysis is carried out as to the observed uses of the information resources in step one with the results of the survey conducted among GreyNet stakeholders in step two. Results from this study seek to establish an accepted level of disparity among the intended purposes, observed uses, and the involvement of stakeholders. The outcome hopes to better enable GreyNet to leverage its information resources - ensuring its positional advantage and enabling it to function more effectively.</abstract>
    <source>THE GREY JOURNAL, vol. 12, pp. 26-34</source>
    <projects/>
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            <infoId>dnet:pers:540</infoId>
            <name>Biagioni, Stefania</name>
            <orcid>0000-0001-9518-0267</orcid>
            <affiliation code="dnet:pers:540" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:205</infoId>
            <name>Carlesi, Carlo</name>
            <orcid>0000-0001-9808-6268</orcid>
            <affiliation code="dnet:pers:205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <acronym>01 Contributo su Rivista</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>01.01 Articolo in rivista</name>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:353591</identifier>
    <title>La Tutela dei dati personali nell'Area della Ricerca CNR di Pisa in vista del nuovo Regolamento Europeo</title>
    <creators>
        <creator orcid="0000-0002-3122-5507">Deluca R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Privacy</subject>
        <subject>Law</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/311413</url>
        <url hostedBy="www.corriereprivacy.it" rights="Open Access">http://www.corriereprivacy.it/magazine/01-2016/html5.html#page/1</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/311413/1/prod_353591-doc_114370.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Il presente lavoro illustra le modalità con cui l'Area della Ricerca di Pisa si prepara ad affrontare le problematiche sulla "privacy" in vista della prossima emanazione del Regolamento Europeo</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:836</infoId>
            <name>Deluca, Rosaria</name>
            <orcid>0000-0002-3122-5507</orcid>
            <affiliation code="dnet:pers:836" type="Servizio" groupAcronym="SB" group="Servizio Biblioteca e Centro di Documentazione Scientifica (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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        <inCollection>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:353983</identifier>
    <title>Ambiguity and tacit knowledge in requirements elicitation interviews</title>
    <creators>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
        <creator>Spoletini P</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Information Systems</subject>
        <subject>Requirements elicitation</subject>
        <subject>Natural language</subject>
        <subject>Software</subject>
        <subject>Requirements engineering</subject>
        <subject>Interviews</subject>
        <subject>Ambiguity</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s00766-016-0249-3</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/315058</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007%2Fs00766-016-0249-3</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/353983/2016_353983.postprint.pdf?id=people______%3A%3A259c438fe437dce9da4a656a43548d19</url>
        <url hostedBy="Requirements Engineering" rights="Closed Access">https://doi.org/10.1007/s00766-016-0249-3</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/315058/1/prod_353983-doc_114973.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/s00766-016-0249-3</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Interviews are the most common and effective means to perform requirements elicitation and support knowledge transfer between a customer and a requirements analyst. Ambiguity in communication is often perceived as a major obstacle for knowledge transfer, which could lead to unclear and incomplete requirements documents. In this paper, we analyze the role of ambiguity in requirements elicitation interviews, when requirements are still tacit ideas to be surfaced. To study the phenomenon, we performed a set of 34 customer-analyst interviews. This experience was used as a baseline to define a framework to categorize ambiguity. The framework presents the notion of ambiguity as a class of four main sub-phenomena, namely unclarity, multiple understanding, incorrect disambiguation and correct disambiguation. We present examples of ambiguities from our interviews to illustrate the different categories, and we highlight the pragmatic components that determine the occurrence of ambiguity. Along the study, we discovered a peculiar relation between ambiguity and tacit knowledge in interviews. Tacit knowledge is the knowledge that a customer has but does not pass to the analyst for any reason. From our experience, we have discovered that, rather than an obstacle, the occurrence of an ambiguity is often a resource for discovering tacit knowledge. Again, examples are presented from our interviews to support this vision.</abstract>
    <source>REQUIREMENTS ENGINEERING, vol. 21 (issue 3), pp. 333-355</source>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-30985-5_1" url="https://dx.doi.org/10.1007/978-3-030-30985-5_1">The Legacy of Stefania Gnesi</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:354136</identifier>
    <title>A protocol for eliciting dream associations oriented to the recognition of episodic dream sources</title>
    <creators>
        <creator orcid="0000-0002-1300-3900">Barcaro U</creator>
        <creator>Delogu A</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator>Virgillito A</creator>
        <creator>Carboncini M C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ontologia</subject>
        <subject>General Psychology</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Dreaming" rights="Open Access">https://arpi.unipi.it/bitstream/11568/792159/1/Revised%20Manuscript%20for%20Dreaming.pdf</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1037/drm0000019</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308701</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354136/2016_354136.preprint.pdf?id=people______%3A%3Ac344d729974e28ad980c4a89fac597b1</url>
        <url hostedBy="psycnet.apa.org" rights="Open Access">http://psycnet.apa.org/index.cfm?fa=buy.optionToBuy&amp;id=2016-13720-007</url>
        <url hostedBy="Dreaming" rights="not available">https://doi.org/10.1037/drm0000019</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308701/2/prod_354136-doc_156962.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308701&amp;bitstreamId=08072e24-6b5c-432f-ab27-2265c8eb999a</url>
    </urls>
    <dois>
        <doi>10.1037/drm0000019</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The use of associations with dream reports, although being diffused and greatly useful in psychotherapy, has so far played a limited role in dream research not directly finalized to therapy. On the other hand, it is difficult to investigate a basic property of dreaming, that of establishing connections, without searching for information beyond the dream report: indeed, the simplest and likely most effective way of obtaining this information consists in asking the dreamer for associations. Well-defined and rigorous methods are however necessary for research approaches which aim to achieve a better understanding of how the dreaming mind operates by processing and combining the dreamer's memory sources: we propose an experimental protocol aiming to give a contribution in this direction. This protocol consists in asking the dreamer to complete a form which has been implemented so as to make it easier to recognize the sources of single dreams and to describe the link patterns among the sources; this form has been oriented to the identification of episodic sources, definite in space and time. To be more effective, the method takes advantage of the presence of a researcher while the dreamer is completing the form: the terms of the interaction between dreamer and researcher are subjected to marked restrictions and rigorously defined. The protocol was applied to a homogeneous group of participants; the observed link patterns presented interesting phenomena, whose occurrence was characterized by high statistical significance.</abstract>
    <source>DREAMING, vol. 26 (issue 1), pp. 79-93</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:454</infoId>
            <name>Barcaro, Umberto</name>
            <orcid>0000-0002-1300-3900</orcid>
            <affiliation code="dnet:pers:454" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:354137</identifier>
    <title>Smart Solutions for the CNR campus in Pisa</title>
    <creators>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Wireless Sensor Networks</subject>
        <subject>Smart Shared Mobility</subject>
        <subject>Communications Management</subject>
        <subject>Internetworking</subject>
        <subject>Types and Design Styles</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ercim-news.ercim.eu" rights="Open Access">http://ercim-news.ercim.eu/en105/r-i/smart-solutions-for-the-cnr-campus-in-pisa</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308702</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308702/1/prod_354137-doc_114661.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The research area of the Italian National Research Council (CNR) in Pisa is a 130,000 m2 village where 3000 people live and move daily. It can thus be considered as a laboratory where smart solutions to problems that can be encountered in any town or city can be tested.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:354139</identifier>
    <title>From classification to quantification in tweet sentiment analysis</title>
    <creators>
        <creator>Gao W</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Learning</subject>
        <subject>Sentiment analysis</subject>
        <subject>Quantification</subject>
        <subject>Computer Science Applications</subject>
        <subject>Media Technology</subject>
        <subject>Information Systems</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>Tweet analysis</subject>
        <subject>Communication</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s13278-016-0327-z</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308704</url>
        <url hostedBy="Social Network Analysis and Mining" rights="Open Access">https://ink.library.smu.edu.sg/sis_research/4547</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007%2Fs13278-016-0327-z</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354139/2016_%20354139.postprint.pdf?id=people______%3A%3A7867368132d563274260ef9f40e0cb7e</url>
        <url hostedBy="Social Network Analysis and Mining" rights="Closed Access">https://doi.org/10.1007/s13278-016-0327-z</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308704/2/prod_354139-doc_159206.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308704&amp;bitstreamId=58692130-cc0c-4c92-9d81-cb96e62dae3f</url>
    </urls>
    <dois>
        <doi>10.1007/s13278-016-0327-z</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Sentiment classification has become a ubiquitous enabling technology in the Twittersphere, since classifying tweets according to the sentiment they convey towards a given entity (be it a product, a person, a political party, or a policy) has many applications in political science, social science, market research, and many others. In this paper, we contend that most previous studies dealing with tweet sentiment classification (TSC) use a suboptimal approach. The reason is that the final goal of most such studies is not estimating the class label (e.g., Positive, Negative, or Neutral) of individual tweets, but estimating the relative frequency (a.k.a. "prevalence") of the different classes in the dataset. The latter task is called quantification, and recent research has convincingly shown that it should be tackled as a task of its own, using learning algorithms and evaluation measures different from those used for classification. In this paper, we show (by carrying out experiments using two learners, seven quantification-specific algorithms, and 11 TSC datasets) that using quantification-specific algorithms produces substantially better class frequency estimates than a state-of-the-art classification-oriented algorithm routinely used in TSC. We thus argue that researchers interested in tweet sentiment prevalence should switch to quantification-specific (instead of classification-specific) learning algorithms and evaluation measures.</abstract>
    <source>SOCIAL NETWORK ANALYSIS AND MINING, vol. 6 (issue 19), pp. 1-22</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-01129-1_5" url="https://dx.doi.org/10.1007/978-3-030-01129-1_5">Estimating Group Properties in Online Social Networks with a Classifier</dataset>
        <dataset doi="10.1145/2911451.2914749" url="https://dx.doi.org/10.1145/2911451.2914749">Ordinal Text Quantification</dataset>
    </datasets>
    <citations/>
    <collections>
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            <acronym>01 Contributo su Rivista</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:354140</identifier>
    <title>Phantom based point by point photon counting and imaging of human skin tissue</title>
    <creators>
        <creator orcid="0000-0002-2930-7554">Jalil B</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator>Poti L</creator>
        <creator>L'Abbate A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Image analysis</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1134/s1054661816010107</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308705</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1134%2FS1054661816010107</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354140/2016_354140.postprint.pdf?id=people______%3A%3A7c231304acc1b019a11638c5140e52ac</url>
        <url hostedBy="Pattern Recognition and Image Analysis" rights="Closed Access">https://doi.org/10.1134/s1054661816010107</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308705/2/prod_354140-doc_166326.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308705&amp;bitstreamId=303e3b99-070d-4cb9-bcbc-56370377e3e8</url>
    </urls>
    <dois>
        <doi>10.1134/s1054661816010107</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Time-correlated single photon counting (TCSPC) is popular in the resolved techniques due to its prominent performance such as ultra-high time resolution and ultra-high sensitivity. This paper presents advance signal processing techniques on the optical TCSPC signals obtained from the series of experiments on fabricated tissue like phantom. A pulsed laser sources at a wavelength of 830 rim transmits the light through the surface of phantom and finally at receiver side, photon counting device generates the histogram of the receiving signal. The noisy data obtained from the photon counter is processed with the splitting based denoising method. The method divide the signal into different subsets based on the transitions. Each subset is then processed individually and final merging of all subsets gives noise free signal. The main objective of this work is to analyze the signal obtained from photon counter in context of skin blood absorption. We had examined the signal obtained by varying the distance between transmitter and receiver to extract the features. Experimental results with our prototype shows more scattering with the increase in the distance at 3dB level and hence less absorption with increase in the distance.</abstract>
    <source>PATTERN RECOGNITION AND IMAGE ANALYSIS, vol. 26 (issue 1), pp. 136-143</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:345</infoId>
            <name>Jalil, Bushra</name>
            <orcid>0000-0002-2930-7554</orcid>
            <affiliation code="dnet:pers:345" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <acronym>01 Contributo su Rivista</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:354142</identifier>
    <title>Human activity recognition using multisensor data fusion based on Reservoir Computing</title>
    <creators>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Gallicchio C</creator>
        <creator>Pucci R</creator>
        <creator>Micheli A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>WSN</subject>
        <subject>Neural networks</subject>
        <subject>Sensor data fusion</subject>
        <subject>Activity recognition</subject>
        <subject>Software</subject>
        <subject>Reservoir Computing</subject>
        <subject>AAL</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Journal of Ambient Intelligence and Smart Environments" rights="Open Access">https://arpi.unipi.it/bitstream/11568/774478/2/JAISE%20-%20Human%20Activity%20Recognition.pdf</url>
        <url hostedBy="content.iospress.com" rights="Open Access">http://content.iospress.com/articles/journal-of-ambient-intelligence-and-smart-environments/ais372</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.3233/ais-160372</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308707</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354142/2016_354142.postprint.pdf?id=people______%3A%3A766d545b439a0303dbf819459e7ccd22</url>
        <url hostedBy="Journal of Ambient Intelligence and Smart Environments" rights="not available">https://doi.org/10.3233/ais-160372</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308707/2/prod_354142-doc_156963.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308707&amp;bitstreamId=daa7c1d9-7b9d-4c54-94c9-953858976654</url>
    </urls>
    <dois>
        <doi>10.3233/ais-160372</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Activity recognition plays a key role in providing activity assistance and care for users in smart homes. In this work, we present an activity recognition system that classifies in the near real-time a set of common daily activities exploiting both the data sampled by sensors embedded in a smartphone carried out by the user and the reciprocal Received Signal Strength (RSS) values coming from worn wireless sensor devices and from sensors deployed in the environment. In order to achieve an effective and responsive classification, a decision tree based on multisensor data-stream is applied fusing data coming from embedded sensors on the smartphone and environmental sensors before processing the RSS stream. To this end, we model the RSS stream, obtained from a Wireless Sensor Network (WSN), using Recurrent Neural Networks (RNNs) implemented as efficient Echo State Networks (ESNs), within the Reservoir Computing (RC) paradigm. We targeted the system for the EvAAL scenario, an international competition that aims at establishing benchmarks and evaluation metrics for comparing Ambient Assisted Living (AAL) solutions. In this paper, the performance of the proposed activity recognition system is assessed on a purposely collected real-world dataset, taking also into account a competitive neural network approach for performance comparison. Our results show that, with an appropriate configuration of the information fusion chain, the proposed system reaches a very good accuracy with a low deployment cost.</abstract>
    <source>JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS (PRINT), vol. 8 (issue 2), pp. 87-107</source>
    <projects/>
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            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
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            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <acronym>01 Contributo su Rivista</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:354145</identifier>
    <title>Taking Arduino to the Internet of Things: The ASIP programming model</title>
    <creators>
        <creator>Barbon G</creator>
        <creator>Margolis M</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Raimondi F</creator>
        <creator>Weldin N</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>MQTT</subject>
        <subject>[INFO]Computer Science [cs]</subject>
        <subject>Service discovery</subject>
        <subject>Computer Networks and Communications</subject>
        <subject>Communication middleware</subject>
        <subject>Arduino</subject>
        <subject>IoT</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
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        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.comcom.2016.03.016</url>
        <url hostedBy="Computer Communications" rights="Open Access">https://eprints.mdx.ac.uk/19690/1/comcom16.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/315794</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354145/2016_354145.postprint.pdf?id=people______%3A%3A4fbb37089990c5c458842cd6ba854552</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0140366416300743</url>
        <url hostedBy="Computer Communications" rights="Closed Access">https://doi.org/10.1016/j.comcom.2016.03.016</url>
        <url hostedBy="INRIA a CCSD electronic archive server" rights="not available">https://hal.inria.fr/hal-01416490</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/315794/1/prod_354145-doc_114670.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/315794/2/prod_354145-doc_167090.pdf</url>
    </urls>
    <dois>
        <doi>10.1016/j.comcom.2016.03.016</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Micro-controllers such as Arduino are widely used by all kinds of makers worldwide. Popularity has been driven by Arduino's simplicity of use and the large number of sensors and libraries available to extend the basic capabilities of these controllers. The last decade has witnessed a surge of software engineering solutions for "the Internet of Things", but in several cases these solutions require computational resources that are more advanced than simple, resource-limited micro-controllers.Surprisingly, in spite of being the basic ingredients of complex hardware-software systems, there does not seem to be a simple and flexible way to (1) extend the basic capabilities of micro-controllers, and (2) to coordinate inter-connected micro-controllers in "the Internet of Things". Indeed, new capabilities are added on a per-application basis and interactions are mainly limited to bespoke, point-to-point protocols that target the hardware I/O rather than the services provided by this hardware.In this paper we present the Arduino Service Interface Programming (ASIP) model, a new model that addresses the issues above by (1) providing a "Service" abstraction to easily add new capabilities to micro-controllers, and (2) providing support for networked boards using a range of strategies, including socket connections, bridging devices, MQTT-based publish-subscribe messaging, discovery services, etc. We provide an open-source implementation of the code running on Arduino boards and client libraries in Java, Python, Racket and Erlang. We show how ASIP enables the rapid development of non-trivial applications (coordination of input/output on distributed boards and implementation of a line-following algorithm for a remote robot) and we assess the performance of ASIP in several ways, both quantitative and qualitative.</abstract>
    <source>COMPUTER COMMUNICATIONS, vol. 89-90, pp. 128-140</source>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354146</identifier>
    <title>Evolving database conceptual graph partitioning</title>
    <creators>
        <creator orcid="0000-0002-0523-7512">Locuratolo Ei</creator>
    </creators>
    <publisher>IOS Press</publisher>
    <subjects>
        <subject>Database Design</subject>
        <subject>Partitioning</subject>
        <subject>Conceptual Modeling</subject>
        <subject>Algorithms</subject>
        <subject>Correctness</subject>
        <subject>Class/concept completeness</subject>
        <subject>Data Mapping</subject>
        <subject>Classes and Objects</subject>
        <subject>Design Methodology</subject>
        <subject>Graph algorithms</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.3233/978-1-61499-611-8-57</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/315795</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315795&amp;bitstreamId=843485de-9432-4621-b381-8e8798ba4f9f</url>
        <url hostedBy="www.iospress.nl" rights="Restricted">http://www.iospress.nl/book/information-modelling-and-knowledge-bases-xxvii/</url>
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    <dois>
        <doi>10.3233/978-1-61499-611-8-57</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Algorithms of graph partitioning exploited in conceptual database design were reused to define a methodology of database concept preservation. An algorithm, the concept construction algorithm, that relates concept theory to computer science was designed. This algorithm, however, is not suitable for implementation. In this paper, a relatioship between conceptual graphs and concept generalization hierarchies is established at the boundary between concept theory and computer science. The algorithmic property of class/concept completeness is given and an algorithm designed to achieve this property is introduced. This algorithm, which has its own autonomy, can also be considered as a refinement step of theconcept construction algorithm.</abstract>
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            <name>Locuratolo, Elvira Immacolata</name>
            <orcid>0000-0002-0523-7512</orcid>
            <affiliation code="dnet:pers:969" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <code>com_20.500.14243_21</code>
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<record>
    <identifier>oai:it.cnr:prodotti:354147</identifier>
    <title>Towards a feature mu-calculus targeting SPL verification</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek Mh</creator>
        <creator>De Vink Ep</creator>
        <creator>Willemse Ta</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Family-based model checking</subject>
        <subject>mu-calculus with features</subject>
        <subject>Featured Transition Systems</subject>
        <subject>Software/Program Verification. Formal methods</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Behavioral SPL models</subject>
        <subject>Computer Science - Logic in Computer Science</subject>
        <subject>Logic in Computer Science (cs.LO)</subject>
        <subject>Reusable Software. Domain engineering</subject>
        <subject>Software/Program Verification. Model checking</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1604.00350</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://arxiv.org/pdf/1604.00350</url>
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        <doi>10.4204/eptcs.206.6</doi>
        <doi>10.48550/arxiv.1604.00350</doi>
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    <bestRights>Open Access</bestRights>
    <abstract>The modal mu-calculus mu-L is a well-known fixpoint logic to express and model check properties interpreted over labeled transition systems. In this paper, we propose two variants of the mu-calculus, mu-Lf and mu-Lf', for feature transition systems. For this, we explicitly incorporate feature expressions into the logics, allowing operators to select transitions and behavior restricted to specific products and subfamilies. We provide semantics for mu-Lf and mu-Lf' and relate the two new mu-calculi and mu-L to each other. Next, we focus on the analysis of SPL behavior and show how our formalism can be applied for product-based verification with mu-Lf as well as family-based verification with mu-Lf'. We illustrate by means of a toy example how properties can be model checked, exploiting an embedding of mu-Lf' into the mu-calculus with data.</abstract>
    <source>ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, pp. 61-75. Eindhoven, The Netherlands, 3 April 2016</source>
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            <name>Ter Beek, Maurice Henri</name>
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        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
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        <subject>Digital Libraries</subject>
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    <date>2016</date>
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    <abstract>The author has been invited to write about the uses of hybrid data infrastructures as VREs-as-a-service.</abstract>
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        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
        <creator>Carpentiero G</creator>
        <creator>Cirillo M Eds</creator>
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    <date>2016</date>
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    <abstract>This volume brings together all the successful peer-reviewed papers that have been submitted for the proceedings of the 43rd conference on Computer Applications and Quantitative Methods in Archaeology that took place in Siena (Italy) from March 31st to April 2nd 2015. The number of people who signed on for CAA 2015 really took us by surprise: 550 delegates registered for the conference, from many more places than we would ever have anticipated. Altogether, within the four days of the conference 280 papers were presented in 48 sections divided into ten macro topics, 113 posters, 7 roundtables and 12 workshops.</abstract>
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    <title>Verification component understandability BPMN</title>
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        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
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    <publisher/>
    <subjects>
        <subject>BPMN</subject>
        <subject>Understandability</subject>
        <subject>Guideline</subject>
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    <date>2016</date>
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    <abstract>In Learn PAd, we developed a quality assessment strategy that allows to guarantee that the used BP models result being understandable by the civil servants. The quality assessment strategy includes modeling understandability guidelines which are supported by a Java tool called verification component understandability BPMN.</abstract>
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    <title>User interface for content analysis component</title>
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        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
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    <abstract>This is the Content Analysis component of the LearnPAd platform. It implements automated procedures to verify that the textual content that describes the tasks of a Business Process (e.g., documents created in the Collaborative Workspace) provides information that is consistent with respect to the Business Process model itself, and to automatically identify ambiguous sentences and vague terms in natural language requirements, and estimates quantitative indexes concerning the linguistic quality of the contents.</abstract>
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        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
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    <citations/>
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            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354162</identifier>
    <title>User Interface for guidelines verification component</title>
    <creators>
        <creator orcid="0000-0002-7771-0882">Spagnolo G O</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>BPMN</subject>
        <subject>Understandability</subject>
        <subject>Guideline</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="github.com" rights="Metadata Only Access">https://github.com/imatesiu/JSPUIUnderstandability</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/315810</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>User Interface for guidelines verification component.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354164</identifier>
    <title>Content analysis component</title>
    <creators>
        <creator orcid="0000-0002-7771-0882">Spagnolo G O</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>NL</subject>
        <subject>NLP</subject>
        <subject>Linguistic quality of the contents</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="github.com" rights="Metadata Only Access">https://github.com/ISTI-FMT-LearnPAd/ContentAnalysisComponent</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/315812</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The Content Analysis Component includes all the functionalities for analysing NL content of procedure descriptions coming from the LearnPAd platform. It implements automated procedures to verify that the textual content that describes the tasks of a Business Process (e.g., documents created in the Collaborative Workspace) provides information that is consistent with respect to the Business Process model itself, and to automatically identify ambiguous sentences and vague terms in natural language requirements, and estimates quantitative indexes concerning the linguistic quality of the contents.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354165</identifier>
    <title>Accordo di collaborazione ISTI - DMT. rapporto n. 1</title>
    <creators>
        <creator>Chimenti M</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator>Foglio Bonda Pl</creator>
        <creator>Guerra Pm</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Gnatologia</subject>
        <subject>Signal processing</subject>
        <subject>Sensori</subject>
        <subject>Special-purpose and application-based systems</subject>
        <subject>Pattern recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/315813</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315813&amp;bitstreamId=01619221-d67f-4fd5-8849-d34a5c151600</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The Istituto di Scienza e Tecnologie dell'Informazione (ISTI) of the National Research Council of Italy (CNR) and the Dipartimento di Medicina Traslazionale (DMT) of the University of Eastern Piedmont "Amedeo Avogadro" have reached an agreement concerning research and development activities oriented an automatic detection of mandibular movements, in order to study in depth mandibular cinematic for the diagnosis of Temporo-Mandibular Disorders (TMD). During the first year of the agreement attention has been focused on the development of an innovative research model. In particular, we aimed to compare the results obtained by using devices currently used for this kind of examination to those provided by different motion detection sensors; we were also intended to use image processing and information visualization procedures. The report describes a preliminary activity in which we developed new software procedures in order to use in the proposed study a system for motion detection by image processing, previously realized at ISTI.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:60</infoId>
            <name>Chimenti, Massimo</name>
            <affiliation code="dnet:pers:60" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354167</identifier>
    <title>ISTI young research award 2016</title>
    <creators>
        <creator orcid="0000-0002-6862-7593">Barsocchi P</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
        <creator orcid="0000-0002-7358-5607">Girardi M</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
        <creator orcid="0000-0002-2827-7613">Guidotti R</creator>
        <creator orcid="0000-0002-4864-2219">Lonetti F</creator>
        <creator orcid="0000-0001-7892-894X">Malomo L</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator orcid="0000-0002-1547-6007">Pappalardo L</creator>
        <creator orcid="0000-0001-7742-8126">Pascali Ma</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Young research award</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/315815</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354167/2016_354167.pdf?id=people______%3A%3A00e08ac1d9304c7e7e37bacaf8481f36</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/315815/1/prod_354167-doc_114682.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The ISTI Young Researcher Award is an award for young people of Institute of Information Science and Technologies (ISTI) with high scientific production. In particular, the award is granted to young staff members (less than 35 years old) by assessing the yearly scientific production of the year preceding the award. This report documents procedure and results of the 2016 edition of the award.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
            <orcid>0000-0002-7358-5607</orcid>
            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:171</infoId>
            <name>Guidotti, Riccardo</name>
            <orcid>0000-0002-2827-7613</orcid>
            <affiliation code="dnet:pers:171" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:388</infoId>
            <name>Lonetti, Francesca</name>
            <orcid>0000-0002-4864-2219</orcid>
            <affiliation code="dnet:pers:388" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:231</infoId>
            <name>Malomo, Luigi</name>
            <orcid>0000-0001-7892-894X</orcid>
            <affiliation code="dnet:pers:231" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:234</infoId>
            <name>Pappalardo, Luca</name>
            <orcid>0000-0002-1547-6007</orcid>
            <affiliation code="dnet:pers:234" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
            <affiliation code="dnet:pers:828" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
            <affiliation code="dnet:pers:828" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <code>col_20.500.14243_101</code>
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            <acronym>08.04 Rapporto tecnico</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354429</identifier>
    <title>Wize Mirror - a smart, multisensory cardio-metabolic risk monitoring system</title>
    <creators>
        <creator>Andreu Y</creator>
        <creator>Chiarugi F</creator>
        <creator orcid="0000-0003-2022-0804">Colantonio S</creator>
        <creator>Giannakakis G</creator>
        <creator orcid="0000-0002-6752-6918">Giorgi D</creator>
        <creator>Henriquez P</creator>
        <creator>Kazantzaki E</creator>
        <creator>Manousos D</creator>
        <creator>Kostas M</creator>
        <creator>Matuszewski B J</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator>Pediaditis M</creator>
        <creator>Raccichini G</creator>
        <creator>Tsiknakis M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>I440</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Unobtrusive health monitoring</subject>
        <subject>Software</subject>
        <subject>3D face detection</subject>
        <subject>3D morphometric analysis</subject>
        <subject>Multimodal data integration</subject>
        <subject>Psycho-somatic status recognition</subject>
        <subject>Tracking and reconstruction</subject>
        <subject>Signal Processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Central Lancashire Online Knowledge" rights="Open Access">http://clok.uclan.ac.uk/14494/1/14494_1-s2.0-S1077314216300224-main.pdf</url>
        <url hostedBy="Computer Vision and Image Understanding" rights="Open Access">https://doi.org/10.1016/j.cviu.2016.03.018</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.cviu.2016.03.018</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/323152</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354429/2016_354429.published.pdf?id=people______%3A%3A08d8dcc5b750e5df6d472746900371bd</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S1077314216300224</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/323152/1/prod_354429-doc_156964.pdf</url>
    </urls>
    <dois>
        <doi>10.1016/j.cviu.2016.03.018</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In the recent years personal health monitoring systems have been gaining popularity, both as a result of the pull from the general population, keen to improve well-being and early detection of possibly serious health conditions and the push from the industry eager to translate the current significant progress in computer vision and machine learning into commercial products. One of such systems is the Wize Mirror, built as a result of the FP7 funded SEMEOTICONS (SEMEiotic Oriented Technology for Individuals CardiOmetabolic risk self-assessmeNt and Self-monitoring) project. The project aims to translate the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, multispectral images, and 3D scans of the face. The multisensory platform, being developed as the result of that project, in the form of a smart mirror, looks for signs related to cardio-metabolic risks. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. This paper is focused on the description of the part of that system, utilising computer vision and machine learning techniques to perform 3D morphological analysis of the face and recognition of psycho-somatic status both linked with cardio-metabolic risks. The paper describes the concepts, methods and the developed implementations as well as reports on the results obtained on both real and synthetic datasets.</abstract>
    <source>COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 148, pp. 3-22</source>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:815</infoId>
            <name>Colantonio, Sara</name>
            <orcid>0000-0003-2022-0804</orcid>
            <affiliation code="dnet:pers:815" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
            <affiliation code="dnet:pers:815" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:943</infoId>
            <name>Giorgi, Daniela</name>
            <orcid>0000-0002-6752-6918</orcid>
            <affiliation code="dnet:pers:943" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:426</infoId>
            <name>Raccichini, Giovanni</name>
            <affiliation code="dnet:pers:426" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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            <name>01 Contributo su Rivista</name>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354431</identifier>
    <title>LEARN PAD - Demonstrators populated learning platform</title>
    <creators>
        <creator>Re B</creator>
        <creator>Polini A</creator>
        <creator>Corradini F</creator>
        <creator>Thönssen B</creator>
        <creator>Efendioglu N</creator>
        <creator>Simard J</creator>
        <creator>Sergiacomi A</creator>
        <creator>Balducci A</creator>
        <creator>Giorgio L</creator>
        <creator>Carota S</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator orcid="0000-0002-7771-0882">Spagnolo G O</creator>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Public Administration</subject>
        <subject>European Project Budget Report</subject>
        <subject>Modelling environment</subject>
        <subject>Learning Platform</subject>
        <subject>SOFTWARE ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/323154</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354431/2016_%20354431.pdf?id=people______%3A%3A076ec0a3646be36de9f73ac79ac2478a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/323154/1/prod_354431-doc_114850.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The main goal of this deliverable is to early collect end-users feedback about the platform imple- mented functionalities for the sake of the Learn PAd consortium. End-users needs and expectations are driving forces of the Learn PAd project, that is why a validation has been carried out to ensure that the early version of the Learn PAd platform properly addresses them. The early validation was carried out considering the running instance of the Learn PAd platform available (since 06 November 2015) at the address: http://testbed.learnpad.eu/. A group of users sampled from both the project demonstrators tested the Learn PAd platform and provided us with feedback and comments to improve it. Results from such validation are reported in the first part of this deliverable. Moreover, even if not explicitly requested in the DoW, a further validation was also done to check the goodness of BPMN modelling understandability guidelines that we defined in WP4. This further validation involved a questionnaire and a focus group with the aim to guarantee that the defined BP modelling understandability guidelines actually contribute to improve BP model understandability. In the second part of this deliverable we report in detail the results of the modelling guidelines valida- tion. From the guidelines validation, we can assert that models designed following BPMN modelling understandability guidelines indeed result to be better understandable than the ones generated by not following the guidelines. In fact, for such reason the BP models used in the deployed running instance of the Learn PAd platform involved in the user early validation are those conforming to the guidelines.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
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    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
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            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354433</identifier>
    <title>SparkBOOST</title>
    <creators>
        <creator orcid="0000-0003-1921-7456">Fagni T</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Classification</subject>
        <subject>Boosting</subject>
        <subject>Spark</subject>
        <subject>Big data</subject>
        <subject>SOFTWARE ENGINEERING. Design Tools and Techniques</subject>
        <subject>Software Architectures</subject>
        <subject>Language Classifications</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="github.com" rights="Metadata Only Access">https://github.com/tizfa/sparkboost</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/323156</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>SparkBOOST is a Java library built over Apache Spark that provides a distributed implementation of AdaBoost.MH and MP-Boost machine learning algorithms. These boosting algorithms are known to be very effective and robust to overfitting in many application domains, e.g. in natural language processing contexts. SparkBOOST offers to developers a fast way to scale these algorithms to large scale problems, where one needs to build classifiers from very large training datasets or simply needs to quickly classify huge stream of documents. The library can be integrated into custom programs by using a simple API. The SparkBOOST implementation also provides some command line tools to perform learning and classification on data sources available in LibSVM format.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:313</infoId>
            <name>Fagni, Tiziano</name>
            <orcid>0000-0003-1921-7456</orcid>
            <affiliation code="dnet:pers:313" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354435</identifier>
    <title>Are scientific data repositories coping with research data publishing?</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
        <creator orcid="0000-0002-6079-2383">Tani A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Data infrastructures</subject>
        <subject>Data Quality</subject>
        <subject>Scientific Data Repositories</subject>
        <subject>Computer Science (miscellaneous)</subject>
        <subject>Computer Science Applications</subject>
        <subject>Online Information Services</subject>
        <subject>Research Data Publishing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="datascience.codata.org" rights="Open Access">http://datascience.codata.org/articles/10.5334/dsj-2016-006/</url>
        <url hostedBy="Data Science Journal" rights="Open Access">http://datascience.codata.org/articles/10.5334/dsj-2016-006/galley/593/download/</url>
        <url hostedBy="Data Science Journal" rights="Open Access">https://datascience.codata.org/jms/article/view/dsj-2016-006</url>
        <url hostedBy="Data Science Journal" rights="Open Access">https://doi.org/10.5334/dsj-2016-006</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5334/dsj-2016-006</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/323158</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354435/2016_354435.published.pdf?id=people______%3A%3A08ef76448b9490722370f165e1dc6e5e</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/323158/1/prod_354435-doc_114852.pdf</url>
    </urls>
    <dois>
        <doi>10.5334/dsj-2016-006</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Research data publishing is intended as the release of research data to make it possible for practitioners to (re)use them according to "open science" dynamics. There are three main actors called to deal with research data publishing practices: researchers, publishers, and data repositories. This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.</abstract>
    <source>DATA SCIENCE JOURNAL, vol. 15</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/731001/EU/Accelerating user-driven e-infrastructure innovation in Food Agriculture/AGINFRA PLUS</infoId>
            <openaireId>corda__h2020::558cf59efd8258c3e65083d750182257</openaireId>
            <code>731001</code>
            <name>Accelerating user-driven e-infrastructure innovation in Food Agriculture</name>
            <acronym>AGINFRA PLUS</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/675680/EU/Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth/BlueBRIDGE</infoId>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/283644/EU/Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources/IMARINE</infoId>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:169</infoId>
            <name>Tani, Alice</name>
            <orcid>0000-0002-6079-2383</orcid>
            <affiliation code="dnet:pers:169" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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        <dataset doi="10.1007/978-3-030-11226-4_16" url="https://dx.doi.org/10.1007/978-3-030-11226-4_16">Foundations of a Framework for Peer-Reviewing the Research Flow</dataset>
        <dataset doi="10.1007/978-3-030-11226-4_22" url="https://dx.doi.org/10.1007/978-3-030-11226-4_22">Hands-On Data Publishing with Researchers: Five Experiments with Metadata in Multiple Domains</dataset>
        <dataset doi="10.1007/978-3-030-11226-4_20" url="https://dx.doi.org/10.1007/978-3-030-11226-4_20">The OpenUP Pilot on Research Data Sharing, Validation and Dissemination in Social Sciences</dataset>
        <dataset doi="10.1007/978-3-030-36599-8_3" url="https://dx.doi.org/10.1007/978-3-030-36599-8_3">Training Biomedical Researchers in Metadata with a MIBBI-Based Ontology</dataset>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:354436</identifier>
    <title>Java Text Categorization System</title>
    <creators>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
        <creator orcid="0000-0003-1921-7456">Fagni T</creator>
        <creator orcid="0000-0002-0377-1025">Moreo Fernandez A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Text categorization</subject>
        <subject>Machine learning</subject>
        <subject>Natural language processing</subject>
        <subject>Learning</subject>
        <subject>Natural Language Processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="github.com" rights="Metadata Only Access">https://github.com/jatecs/jatecs</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/323159</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>JaTeCS is an open source Java library focused on Automatic Text Categorization (ATC). It covers all the steps of an experimental activity, from reading the corpus to the evaluation of the experimental results. JaTeCS focuses on text as the central input, and its code is optimized for this type of data. As with many other machine learning (ML) frameworks, it provides data readers for many formats and well-known corpora, NLP tools, feature selection and weighting methods, the implementation of many ML algorithms as well as wrappers for well-known external software (e.g., libSVM, SVM_light). JaTeCS also provides the implementation of methods related to ATC that are rarely, if never, provided by other ML framework (e.g., active learning, quantification, transfer learning).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:313</infoId>
            <name>Fagni, Tiziano</name>
            <orcid>0000-0003-1921-7456</orcid>
            <affiliation code="dnet:pers:313" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:320</infoId>
            <name>Moreo Fernandez, Alejandro David</name>
            <orcid>0000-0002-0377-1025</orcid>
            <affiliation code="dnet:pers:320" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:354437</identifier>
    <title>Stochastic model-based evaluation of reliable energy-saving rail road switch heating systems</title>
    <creators>
        <creator orcid="0000-0002-7196-6609">Basile D</creator>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Energy</subject>
        <subject>Reliability</subject>
        <subject>Model-based</subject>
        <subject>Performance of systems</subject>
        <subject>Simulation and modeling</subject>
        <subject>Special-purpose and application-based systems</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/323160</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354437/2016_354437.pdf?id=people______%3A%3Aebd0f260e02b934679a3153d5c9f9904</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/323160/1/prod_354437-doc_114853.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Rail road switch heaters are used to avoid the formation of snow and ice on top of rail road switches during the cold season, in order to guarantee their correct functioning. Effective management of the energy consumption of these devices is important to reduce the costs and minimise the environmental impact. While doing so, it is critical to guarantee the reliability of the system. In this work we analyse reliability and energy consumption indicators for a system of (remotely controlled) rail road switch heaters by developing and solving a stochastic model-based approach based on the Stochastic Activity Networks (SAN) formalism. An on-off policy is considered for heating the switches, with parametric thresholds of activation/deactivation of the heaters and considering different classes of priority. A case study has been developed inspired by a real rail road station, to practically demonstrate the application of the proposed approach to understand the impact of different thresholds and priorities on the indicators under analysis (probability of failure and energy consumption).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:453</infoId>
            <name>Basile, Davide</name>
            <orcid>0000-0002-7196-6609</orcid>
            <affiliation code="dnet:pers:453" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1427</infoId>
            <name>Chiaradonna, Silvano</name>
            <orcid>0000-0002-0889-1990</orcid>
            <affiliation code="dnet:pers:1427" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:354439</identifier>
    <title>SatNEx IV - Tecnical Note of SatNEx IV - Call of Order 1 Part 1 - WI4</title>
    <creators>
        <creator>Ali M</creator>
        <creator orcid="0000-0001-6733-1873">Bacco F M</creator>
        <creator>Celandroni N</creator>
        <creator>Giambene G</creator>
        <creator orcid="0000-0002-8134-7844">Gotta A</creator>
        <creator>Fun Hu Y</creator>
        <creator>Kinyuy Jaff E</creator>
        <creator>Anh Le V</creator>
        <creator>Kim Luong D</creator>
        <creator>Muhammad M</creator>
        <creator>Pillai P</creator>
        <creator>Susanto M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Network Coding</subject>
        <subject>Satellite</subject>
        <subject>Vehicular</subject>
        <subject>V2V</subject>
        <subject>V2I</subject>
        <subject>COMPUTER-COMMUNICATION NETWORKS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/323162</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/323162&amp;bitstreamId=6cf8d6ba-e46d-42d8-97e3-83fffdb5ed02</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This technical note deals with a literature survey on the adoption of Network Coding (NC), differentiated on the basis of the OSI layer where network coding is adopted. Therefore, this document is divided into three parts, as follows: Technical Challenge #1 (TC1), Network coding adopted at application layer (or just below); Technical Challenge #2 (TC2), Network coding applied at transport layer (or just below); Technical Challenge #3 (TC3), Network coding applied at network layer (or just below). The purpose of this document is to survey the different applications of network coding explaining why it is used and how it is used with a particular attention to multipath scenarios and satellite case studies. A second part of this report contains a detailed description of the selected simulation scenarios by the team and a description of related issues in terms of layer where NC should be used and NC compatibility issues (ROHC, IPsec). Finally, benchmark techniques are presented and a description of the implementation phase of simulators (3 scenarios) is provided together with some results and comparisons with benchmark schemes. A third part of this report contains a survey of currently available simulation tools for network coding and discusses about pros and cons. Simulations results and final considerations are also provided that have permitted to highlight the advantages in using network coding.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:271</infoId>
            <name>Bacco, Felice Manlio</name>
            <orcid>0000-0001-6733-1873</orcid>
            <affiliation code="dnet:pers:271" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:318</infoId>
            <name>Celandroni, Nedo</name>
            <affiliation code="dnet:pers:318" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:744</infoId>
            <name>Gotta, Alberto</name>
            <orcid>0000-0002-8134-7844</orcid>
            <affiliation code="dnet:pers:744" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354440</identifier>
    <title>Agile processes and formal methods in railway systems</title>
    <creators>
        <creator orcid="0000-0002-7771-0882">Spagnolo Go</creator>
    </creators>
    <publisher>Consiglio Nazionale delle Ricerche</publisher>
    <subjects>
        <subject>CBTC</subject>
        <subject>Feature Diagram</subject>
        <subject>Family Product</subject>
        <subject>NLP approach</subject>
        <subject>Model Checking</subject>
        <subject>Train</subject>
        <subject>SOFTWARE ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/323163</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/323163&amp;bitstreamId=fe077bbb-2612-441b-8646-1fe2bc9ad0c1</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>A business subject who decides to enter an established technological market is required to accurately analyse the products of the different competitors. In the case of cheap mass products (e.g., mobiles, laptops), the new company can actually purchase the products and evaluate their features in order to compare them. In the case of expensive, large-scale, and often customized, products (e.g., security systems, intelligent transport systems), the company has to rely on the existing public documentation about the products, since the cost required to purchase the actual products would be prohibitive. In this work, we consider the case of Communications-Based Train Control (CBTC) systems. In this context this dissertation present the development a safety critical system, with limited knowledge of the domain, in a context with multiple competitors. The safety critical system shall be developed according to standards (process and product standards). At the same time, there is a limited know- ledge of the domain. Hence, agile methods fit the need of having an in-depth view of the problem, in limited time, and with limited knowledge.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_52</code>
            <name>07 Tesi</name>
            <acronym>07 Tesi</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_53</code>
            <name>07.01 Tesi di dottorato</name>
            <acronym>07.01 Tesi di dottorato</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354509</identifier>
    <title>SparkBOOST, an Apache spark-based boosting library</title>
    <creators>
        <creator orcid="0000-0003-1921-7456">Fagni T</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Boosting</subject>
        <subject>Spark</subject>
        <subject>Big data</subject>
        <subject>Software engineering</subject>
        <subject>Design tools and techniques</subject>
        <subject>Software architectures</subject>
        <subject>Artificial intelligence learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325355</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354509/2016_354509.pdf?id=people______%3A%3A09bae1cdba997c16bc0e45b9f7fd8b2a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325355/1/prod_354509-doc_114888.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>SparkBOOST is a Java library built over Apache Spark that provides a distributed implementation of AdaBoost.MH and MP-Boost machine learning algorithms. These boosting algorithms are known to be very effective and robust to overfitting in many application domains, e.g. in natural language processing contexts. SparkBOOST offers to developers a fast way to scale these algorithms to large scale problems, where one needs to build classifiers from very large training datasets or simply needs to quickly classify huge stream of documents. The library can be integrated into custom programs by using a simple API. The SparkBOOST implementation also provides some command line tools to perform learning and classification on data sources available in LibSVM format.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:313</infoId>
            <name>Fagni, Tiziano</name>
            <orcid>0000-0003-1921-7456</orcid>
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<record>
    <identifier>oai:it.cnr:prodotti:354510</identifier>
    <title>JaTeCS, a Java library focused on automatic text categorization</title>
    <creators>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
        <creator orcid="0000-0003-1921-7456">Fagni T</creator>
        <creator orcid="0000-0002-0377-1025">Moreo Fernández A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Machine learning</subject>
        <subject>Text categorization</subject>
        <subject>Text mining</subject>
        <subject>Natural language processing</subject>
        <subject>Artificial intelligence</subject>
        <subject>Pattern recognition</subject>
        <subject>Clustering</subject>
        <subject>Learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325356</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354510/2016_354510.pdf?id=people______%3A%3Aa8f993f8f5216739ae64e73bf60afbb6</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325356/1/prod_354510-doc_114889.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>JaTeCS is an open source Java library focused on automatic text categorization. It covers all the steps of an experimental activity, from reading the corpus to the evaluation of the results. JaTeCS focuses on text as the central input, and its code is optimized for this type of data. As with many other machine learning (ML) frameworks, JaTeCS provides data readers for many formats and well-known corpora, NLP tools, feature selection and weighting methods, the implementation of many ML algorithms as well as wrappers for well-known external software (e.g., libSVM, SVMlight). JaTeCS also provides the implementation of methods related to text classification that are rarely, if never, provided by other ML framework (e.g., active learning, quantification, transfer learning).</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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        <cnrPerson>
            <infoId>dnet:pers:313</infoId>
            <name>Fagni, Tiziano</name>
            <orcid>0000-0003-1921-7456</orcid>
            <affiliation code="dnet:pers:313" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <name>Moreo Fernandez, Alejandro David</name>
            <orcid>0000-0002-0377-1025</orcid>
            <affiliation code="dnet:pers:320" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:354559</identifier>
    <title>PETRA - The framework for individual mobility pattern discovery and mobility diaries/activity model</title>
    <creators>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator orcid="0000-0003-1208-8321">Gabrielli L</creator>
        <creator orcid="0009-0003-3112-6992">Romano V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobility</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/316755</url>
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    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This document accompanies deliverable D3.4, which contains the software modules implementing the methods that form the core of the Mobility Pattern Mining module within the PETRA architecture, as presented in D2.2, devoted to deal with GPS and mobile phone (GSM) individual data. The rationale, motivations and some possible applications of such methods have been described in D3.3. The algorithms learn to identify the role or purpose of each trip or location within the history of a user, in terms of activity to be performed, whether it is a systematic trip or location, etc., and exploit such derived information for prediction purposes. The document briefly summarizes the interfaces and the functionalities provided.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:186</infoId>
            <name>Gabrielli, Lorenzo</name>
            <orcid>0000-0003-1208-8321</orcid>
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        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
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            <infoId>dnet:pers:399</infoId>
            <name>Romano, Vittorio Enrico Carlo</name>
            <affiliation code="dnet:pers:399" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
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            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354560</identifier>
    <title>PETRA - An individual mobility pattern and diary model for smart cities</title>
    <creators>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator orcid="0009-0003-3112-6992">Romano V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobility</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/316756</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316756&amp;bitstreamId=7e20e3a2-b65c-4f1d-a37a-d65a7e72b24b</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This document presents the key algorithms that form the core of the Mobility Pattern Mining module within the PETRA architecture, as presented in D2.2, devoted to deal with GPS and mobile phone (GSM) individual data. The algorithms learn to identify the role or purpose of each trip or location within the history of a user, in terms of activity to be performed, whether it is a systematic trip or location, etc., and exploit such derived information for prediction purposes. This document provides some preliminaries, the rationale of the methods, highlighting the improvement over the state-of-art, and a brief summary of performances.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:399</infoId>
            <name>Romano, Vittorio Enrico Carlo</name>
            <affiliation code="dnet:pers:399" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
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            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354561</identifier>
    <title>PETRA - The simulation framework for crowd mobility behaviour</title>
    <creators>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator orcid="0009-0003-3112-6992">Romano V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobility</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/316757</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316757&amp;bitstreamId=00159dd1-a707-4278-8794-ecc591e2e7ed</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This document presents the tools and framework developed within the PETRA project for simulating the mobility behaviour of crowds. The tools are mainly based on the modeling of individual users - possibly derived from real data - and allow to realize various kinds of simulations, from simple predictions over current traffic/crowd status to more involved what-if analyses. This document provides some preliminaries and the rationale of the methods, highlighting their usability over the PETRA showcases.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:399</infoId>
            <name>Romano, Vittorio Enrico Carlo</name>
            <affiliation code="dnet:pers:399" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
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            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:354563</identifier>
    <title>PETRA - Methods for computing collective mobility indicator from individual patterns</title>
    <creators>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator orcid="0009-0003-3112-6992">Romano V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobility</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/316759</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316759&amp;bitstreamId=c1a5a62c-c38f-4dfe-b176-ab76ba41ebc6</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This document presents a set of methods for exploiting individual patterns and measures developed within WP3, and described in D3.3, to produce collective indicators. Such indicators will be used for various applications purposes, some of which are described as representative examples. This document provides preliminaries and the rationale of the methods, highlighting how they are used (or can be used) for the showcases of PETRA.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:399</infoId>
            <name>Romano, Vittorio Enrico Carlo</name>
            <affiliation code="dnet:pers:399" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
            <orcid>0000-0001-5316-6475</orcid>
            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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    <datasets/>
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    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:354564</identifier>
    <title>PETRA - Transit monitor for detecting changes in predictions</title>
    <creators>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator orcid="0009-0003-3112-6992">Romano V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobility</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/316760</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316760&amp;bitstreamId=3b873114-f498-485b-bc60-77e6d9cd0368</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This document presents the algorithms developed within PETRA to monitor the performances of the main predictive models built in the project, in order to provide feedbacks and possibly trigger updates or re-computation of the models. The algorithms are based on the comparison of the models against GPS mobility data. The document briefly summarizes the interfaces and the functionalities provided.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:399</infoId>
            <name>Romano, Vittorio Enrico Carlo</name>
            <affiliation code="dnet:pers:399" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
            <orcid>0000-0001-5316-6475</orcid>
            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354565</identifier>
    <title>ASAP - Telecommunication Data Analytics (TDA) specification and early prototype</title>
    <creators>
        <creator>Bertoldi R.</creator>
        <creator orcid="0000-0002-8085-9338">Cintia P.</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Telecommunication Data Analytics</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::0700aae91a2dc2e32087b6a907c5a053</documentPage>
    <urls>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/354565</url>
    </urls>
    <dois/>
    <bestRights>Unknown</bestRights>
    <abstract>The main objective of this Work Package (WP) is the design and development of an analytics application on WIND Telecommunications customer data, targeted towards tourism and mobility scenarios. The envisaged use cases will be integrated into the ASAP framework and will be evaluated using several measurement methods. At the end of the project's second year (M24) the tasks involved are three: the end of the task T9.2, the task T9.3 and the beginning of task T9.4.</abstract>
    <source>Project report, ASAP, Deliverable D9.3, 2016</source>
    <projects>
        <project>
            <openaireId>corda_______::c013d9a93e1ad6601a9e963e7f909bf4</openaireId>
            <code>619706</code>
            <name>An Adaptive, highly Scalable Analytics Platform</name>
            <acronym>ASAP</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:273</infoId>
            <name>Cintia, Paolo</name>
            <orcid>0000-0002-8085-9338</orcid>
            <affiliation code="dnet:pers:273" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
            <orcid>0000-0001-5316-6475</orcid>
            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354579</identifier>
    <title>Device interoperability and service discovery in smart environments</title>
    <creators>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
    </creators>
    <publisher>Consiglio Nazionale delle Ricerche</publisher>
    <subjects>
        <subject>Service Discovery</subject>
        <subject>Smart Envirionments</subject>
        <subject>Mobile Social Networki</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="etd.adm.unipi.it" rights="Open Access">https://etd.adm.unipi.it/theses/available/etd-11202015-101523/</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316772</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316772/1/prod_354579-doc_114942.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Smart Environments (SE), and in particular Smart Homes, have attracted the attention of many researchers and industrial vendors. In such environments, according to the Ambient Intelligence paradigm, devices operate collectively using any information describing the environment (also known as the context-information) in order to support users in accomplishing their tasks. SE devices are characterized by several properties: they are designed to react autonomously to specific events, they are aware of the context, they manage sensitive information concerning the users, they adopt a service-oriented model in order to interact with other devices, and they interact by means of various applications and communication protocols. Cooperation with devices in SE is thus complex. This thesis deals with two problems that still represent a barrier to the development of many SE applications. The thesis examines how to interact with low-power devices, which is refereed to as device interoperability, and how to discover the functionalities that mobile devices offer, namely the service discovery problem. The rest part of the thesis describes the design of ZB4O an integration gateway for low-power devices based on the ZigBee specification. The growing market for ZigBee-ready appliances makes the ZigBee specification an important technology-enabler for SE. However, accessing such devices entails an easy interaction model with IP-based networks that are already present in most SE. Therefore, this work presents an open source platform that seamlessly integrates ZigBee devices with applications running on SE. The thesis describes the evaluation process of ZB4O with various trials organized over the last year of two EU projects, as well as the integration of ZB4O with UPnP and a RESTful approach. SE devices can also export their functionalities with a service-oriented approach. In fact, every resource offered by a device can be seen as a service available for other devices. The second problem studied in this thesis is the service discovery and it deals with how to advertise and query services in SE. The scenario considered for the service discovery problem is characterized by mobile devices carried by people roaming in SE. Hence, mobility and sociality are two key-factors that make the service discovery problem more complex and challenging. The thesis presents two algorithms, termed SIDEMAN and CORDIAL, for the service discovery in Mobile Social Networks (MSN) which are evaluated with real and synthetic simulation scenarios.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_52</code>
            <name>07 Tesi</name>
            <acronym>07 Tesi</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_53</code>
            <name>07.01 Tesi di dottorato</name>
            <acronym>07.01 Tesi di dottorato</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354639</identifier>
    <title>DOREMI - Activity recognition modelling and reasoning system development</title>
    <creators>
        <creator>Bacciu D</creator>
        <creator>Gallicchio C</creator>
        <creator>Micheli A</creator>
        <creator>Fortunati L</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator>Kropf J</creator>
        <creator>Henke S</creator>
        <creator>Kreiner K</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Human activity recognition</subject>
        <subject>Reasoning system</subject>
        <subject>Database schema</subject>
        <subject>Machine learning</subject>
        <subject>Predictive learning models</subject>
        <subject>Explorative data analysis</subject>
        <subject>Model selection</subject>
        <subject>High-level system architecture</subject>
        <subject>Software components</subject>
        <subject>System development and implementation</subject>
        <subject>Software release</subject>
        <subject>Computer-Communication Networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/315620</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315620&amp;bitstreamId=cd6463b4-035d-4f6e-866f-6c1bfb927b78</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Deliverable D4.2 describes the Context Awareness and Activity Recognition system implemented as part of the research and development activities in tasks 4.1 (second part), 4.2, 4.3, 4.4. This deliverable includes both the released software system, available through WP4 code repository, as well as the present document. This document provides an up-to-date architectural view of the released system and provides a description of the implementation level details of the developed software. This includes both a specification of the software components, the description of the application programming interface implementing them as well as system deployment information, including hardware and software requirements. Further, it is provided a preliminary account of the experimental validation of the system components on data collected in the DOREMI laboratories and pilot site. A complete report on the experimental validation of the system will be provided in Deliverable D4.3 at M33.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:213</infoId>
            <name>Fortunati, Luciano</name>
            <affiliation code="dnet:pers:213" type="Laboratorio" groupAcronym="IS" group="Information Systems Technology (2002-2016)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354782</identifier>
    <title>Problematiche relative ad emissioni sonore di sorgenti musicali : alcuni casi di criticità</title>
    <creators>
        <creator>Bertini G</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator>Tarabella L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Misure fonometriche</subject>
        <subject>Compressione range dinamico</subject>
        <subject>Dose di rumore</subject>
        <subject>LIFE AND MEDICAL SCIENCES</subject>
        <subject>Sound and Music Computing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Contribution to conference</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316350</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354782/2016_354782.postprint.pdf?id=people______%3A%3Aaf9a56cb6219cf6adbf57e70c086b541</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316350/2/prod_354782-doc_181154.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316350&amp;bitstreamId=dbe1db52-c089-426a-81f5-423cadf40fa0</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>For risks prevention caused by high noise exposure levels it has give off over time various laws regarding industry machinery and beyond. Appropriate rules also target the music industry: in fact, although musical sounds are agreable and different from the noise, in many cases are characterized by high volume levels, and can produce hearing damage to operators and audience. In our contribution we pay attention to certain situations and type of musical sources that can be dangerous.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:93</infoId>
            <name>Bertini, Graziano</name>
            <affiliation code="dnet:pers:93" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:428</infoId>
            <name>Tarabella, Leonello</name>
            <affiliation code="dnet:pers:428" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_49</code>
            <name>04.03 Poster in Atti di convegno</name>
            <acronym>04.03 Poster in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354871</identifier>
    <title>Lezione divulgativa sul tema del "RUMORE..DI FONDO"</title>
    <creators>
        <creator>Bertini G</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Rumore acustico</subject>
        <subject>Rischio uditivo</subject>
        <subject>Auricolari MP3</subject>
        <subject>LIFE AND MEDICAL SCIENCES</subject>
        <subject>Sound and Music Computing</subject>
        <subject>User Interfaces</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/316437</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316437&amp;bitstreamId=e53b72b4-e3ea-439c-b234-37095312b00b</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>L'evento "International Noise Awareness Day" (INAD 2016) previsto per il 27 Aprile 2016 è incentrato quest'anno sul tema della conoscenza del "RUMORE..DI FONDO". L'Associazione Italiana di Acustica ha definito gli obiettivi della giornata "Noise Awareness Day-Italia" invitando le scuole di tutti gli ordini ad organizzare eventi sul tema della giornata mettendo a disposizione materiale di base (circa 50 slide ppt). In un recente workshop promosso dall'AIA (Ferrara, 11/02/2016), dedicato ad un aggiornamento sulla normativa per la certificazione acustica di sorgenti rumorose, il SILab ha presentato un poster su casi critici riguardanti alcuni tipi di sorgenti musicali (Bertini, Magrini, Tarabella). In particolare è stato evidenziato come l'uso prolungato di cuffie e/o auricolari, mp3 ecc. per l'ascolto di musica "pop" in presenza di elevati livelli di rumore ambientale possa costituire grave aumento di rischio uditivo, ancora non ben valutato. Dato che INAD 2016 verteva su questi temi, Graziano Bertini e Massimo Magrini si sono resi disponibili ampliando il materiale di base e organizzando una lezione divulgativa presso la scuoa media E. Fermi-Ist. Comprensivo "L. Gereschi", Pontasserchio (PI), interessata all'argomento.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:93</infoId>
            <name>Bertini, Graziano</name>
            <affiliation code="dnet:pers:93" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354879</identifier>
    <title>Ranking upper stages in low Earth orbit for active removal</title>
    <creators>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ranking</subject>
        <subject>Space debris</subject>
        <subject>Upper stages</subject>
        <subject>Active removal</subject>
        <subject>Aerospace Engineering</subject>
        <subject>Environment criticality</subject>
        <subject>Rocket bodies</subject>
        <subject>PHYSICAL SCIENCES AND ENGINEERING</subject>
        <subject>Celestial mechanics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.actaastro.2016.01.019</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316445</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354879/2016_354879.postprint.pdf?id=people______%3A%3A6cfc4d51f6e748245096c8f7cbd16f49</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0094576516000291</url>
        <url hostedBy="Acta Astronautica" rights="Closed Access">https://doi.org/10.1016/j.actaastro.2016.01.019</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316445/2/prod_354879-doc_159777.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316445&amp;bitstreamId=bb3eeafa-a557-435f-80af-1a12daa9391f</url>
    </urls>
    <dois>
        <doi>10.1016/j.actaastro.2016.01.019</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This paper addresses the problem of ranking the upper stages in orbit in order to evaluate their potential detrimental effects on the debris environment over the long-term, and the relative advantage of having them actively de-orbited. To do so, a new ranking scheme is introduced, applicable to any object in low Earth orbit (LEO) and able to prioritize the target objects potentially most critical for the future preservation of the LEO protected region. Applying the proposed approach, it was found, for instance, that the 22 most massive upper stages abandoned in LEO, at the beginning of 2015, are on the whole equivalent to several hundred average intact objects in sun-synchronous orbit, regarding their latent detrimental effects on the debris environment over the next 200 years. Most of them could therefore be the top priority targets of any worldwide coordinated effort for active removal and the prevention of new collisional debris. The ranking scheme was also applied to other main models of rocket bodies currently in orbit, trying to identify the combinations of orbital elements and upper stage types requiring particular attention.</abstract>
    <source>ACTA ASTRONAUTICA, vol. 122 (issue 2016), pp. 19-27</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354880</identifier>
    <title>Characterization of abandoned rocket body families for active removal</title>
    <creators>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Environmental criticality</subject>
        <subject>Ranking index</subject>
        <subject>Space debris</subject>
        <subject>Abandoned rocket bodies in LEO</subject>
        <subject>Geopolitical distribution</subject>
        <subject>Active removal</subject>
        <subject>Aerospace Engineering</subject>
        <subject>PHYSICAL SCIENCES AND ENGINEERING</subject>
        <subject>Celestial mechanics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.actaastro.2016.04.035</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316446</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/354880/2016_354880.preprint.pdf?id=people______%3A%3Adb46f88a1dc2c2c11255382b63ebc47a</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0094576516301333</url>
        <url hostedBy="Acta Astronautica" rights="Closed Access">https://doi.org/10.1016/j.actaastro.2016.04.035</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316446/2/prod_354880-doc_159778.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316446&amp;bitstreamId=77b2ce64-325f-4bd8-8ab7-1eb7bae1fb17</url>
    </urls>
    <dois>
        <doi>10.1016/j.actaastro.2016.04.035</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>A new ranking index was developed and applied to a wide set of rocket body families, characterized by stage dry masses greater than 500 kg and by the presence of at least 5 stages abandoned in LEO. The upper stages selected accounted for more than 80% of the unclassified rocket bodies in LEO and nearly 95% of the associated dry mass. The detailed results obtained for 657 objects clearly identified the most critical altitude-inclination bands and stage models, to be targeted first if and when a debris remediation strategy including the active removal of intact abandoned objects were deemed necessary. Apart from the evaluation of the criticality regarding the long-term evolution of the debris environment, resulting in a priority listing for optimal active removal, the application of the new ranking index is not limited to debris remediation. In fact, if applied before launch to spacecraft and rocket bodies to be disposed in orbit, at the end of mission, it would provide an additional debris mitigation analysis tool for evaluating competing disposal options. Concerning the rocket bodies abandoned in LEO, 274 resulted to have a criticality equal or larger than the average intact object abandoned in an 800 km sun-synchronous orbit. Among them, 243 belonged to the Russian Federation and Ukraine, 25 to China, 5 to Europe and 1 to Japan. In addition to being concentrated in relatively few and narrow altitude-inclinations bands, the most numerous rocket body families often present a quite uniform distribution in right ascension of the ascending node, which is especially convenient for multiple target removal missions.</abstract>
    <source>ACTA ASTRONAUTICA, vol. 126 (issue 2016), pp. 243-257</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>2. Anselmo, L., Pardini, C. Ranking upper stages in low Earth orbit for active removal, in: 6th European Conference for Aero-Space Sciences, EUCASS, Paper p3, 2015.</citation>
        <citation>3. De Luca, L.T., Bernelli, F., Maggi, F., Tadini, P., Pardini, C., Anselmo, L., Grassi, M., Pavarin, D., Francesconi, A., Branz, F., Chiesa, S., Viola, N., Bonnal, C., Trushlyakov, V., Belokonov, I. Active space debris removal by hybrid engine module, Acta Astronautica, 91 (2013) 20−33.</citation>
        <citation>4. DeLuca, L.T., Lavagna, M., Maggi, F., Tadini, P., Pardini, C., Anselmo, L., Grassi, M., Tancredi, U., Francesconi, A., Chiesa, S., Viola, N., Bonnal, C. Active removal of large massive objects by hybrid propulsion module, in: 5th European Conference for Aero-Space Sciences, EUCASS, Paper p469, 2013.</citation>
        <citation>5. De Luca, L.T., Lavagna, M., Maggi, F., Tadini, P., Pardini, C., Anselmo, L., Grassi, M., Tancredi, U., Francesconi, A., Pavarin, D., Branz, F., Chiesa, S., Viola, N. Large debris removal mission in LEO based on hybrid propulsion, Aerotecnica Missili &amp; Spazio, The Journal of Aerospace Science, Technology and Systems, 93 (2014) 51−58.</citation>
        <citation>6. Tadini, P., Tancredi, U., Grassi, M., Anselmo, L., Pardini, C., Francesconi, A., Branz, F., Maggi, F., Lavagna, M., DeLuca, L.T., Viola, N., Chiesa, S., Trushlyakov, V., Shimada, T. Active debris multiremoval mission concept based on hybrid propulsion, Acta Astronautica 103 (2014) 26−35.</citation>
        <citation>7. Liou, J.-C., Johnson, N.L. A sensitivity study of the effectiveness of active debris removal in LEO, Acta Astronautica, 64 (2009) 236−243.</citation>
        <citation>8. Liou, J.-C. An active debris removal parametric study for LEO environment remediation, Advances in Space Research, 47 (2011) 1865−1876.</citation>
        <citation>9. Yasaka, T. Can we have an end to the debris issue?, in: Proceedings of 62nd International Astronautical Congress, International Astronautical Federation, Paper IAC-11-A6.5.1, 2011.</citation>
        <citation>10. Utzmann, J., Oswald, M., Stabroth, S., Voigt, P., Wagner, A., Retat, I. Ranking and characterization of heavy debris for active removal, in: Proceedings of 63rd International Astronautical Congress, International Astronautical Federation, Paper IAC-12- A6.2.8, 2012.</citation>
        <citation>11. Anselmo, L., Pardini, C. Compliance of the Italian satellites in low earth orbit with the end-of-life disposal guidelines for space debris mitigation, in: Proceedings of 65th International Astronautical Congress, International Astronautical Federation, Paper IAC-14-A6.4.5, 2014.</citation>
        <citation>12. Radtke, J., Flegel, S.K., Roth, S., Krag, H. Deriving the spacecraft environment criticality from MonteCarlo simulations of the space debris environment, in: Proceedings of 65th International Astronautical Congress, International Astronautical Federation, Paper IAC-14-A6.2.6, 2014.</citation>
        <citation>13. Rossi, A., Valsecchi, G.B., Alessi, E.M. An evaluation index for the ranking of LEO objects, in: Proceedings of 65th International Astronautical Congress, International Astronautical Federation, Paper IAC-14-A6.2.7, 2014.</citation>
        <citation>14. Anselmo, L., Pardini, C. Compliance of the Italian satellites in low earth orbit with the end-of-life disposal guidelines for space debris mitigation and ranking of their long-term criticality for the environment, Acta Astronautica, 114 (2015) 93−100.</citation>
        <citation>15. Rossi, A., Valsecchi, G.B., Alessi, E.M. The criticality of spacecraft index, Advances in Space Research, 56 (2015) 449−460.</citation>
        <citation>16. IADC Steering Group &amp; Working Group 4 (Mitigation). IADC Space Debris Mitigation Guidelines, Document IADC-02-01 &amp; Revision 1, Inter-Agency Space Debris Coordination Committee (IADC), 2002 &amp; 2007.</citation>
        <citation>17. Dolado-Perez, J.C., Pardini, C., Anselmo, L. Review of uncertainty sources affecting the long-term predictions of space debris evolutionary models. Acta Astronautica, 113 (2015) 51−65.</citation>
        <citation>18. Johnson, N.L., Krisko, P.H., Liou, J.-C., AnzMeador, P.D. NASA's new breakup model of EVOLVE 4.0, Advances in Space Research, 28 (2001) 1377−1384.</citation>
        <citation>19. Krisko, P.H. Proper implementation of the 1998 NASA breakup model, Orbital Debris Quarterly News, 15−4 (2011) 4−5.</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:354931</identifier>
    <title>Percolation of optical excitation mediated by near-field interactions</title>
    <creators>
        <creator>Naruse M</creator>
        <creator>Kim S</creator>
        <creator>Takahashi T</creator>
        <creator>Aono M</creator>
        <creator>Akahane K</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator>Hori H</creator>
        <creator>Thylén L</creator>
        <creator>Katori M</creator>
        <creator>Ohtsu M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Near-field photonics</subject>
        <subject>NanoICT</subject>
        <subject>Data communications devices</subject>
        <subject>PDEs in connection with optics and electromagnetic theory</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/323589</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/323589&amp;bitstreamId=b7145dc2-abd7-4d10-b106-e9e43614085e</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Optical excitation transfer in nanostructured matter has been intensively studied in various material systems for versatile applications. Herein, we discuss the percolation of optical excitations in randomly organized nanostructures caused by optical near-field interactions governed by Yukawa potential in a two-dimensional stochastic model. The model results demonstrate the appearance of two phases of percolation of optical excitation as a function of the localization degree of near-field interaction. Moreover, it indicates sublinear scaling with percolation distance when the light localization is strong. The results provide fundamental insights into optical excitation transfer and will facilitate the design and analysis of nanoscale signal transfer characteristics.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355089</identifier>
    <title>M-Atlas 2.0: the DMQL. The new data mining query language</title>
    <creators>
        <creator orcid="0009-0003-3112-6992">Romano V</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator>Ghelli G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>M-Atlas</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324146</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324146&amp;bitstreamId=dd254f4c-0471-4dd2-9f29-237568d930c2</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>In the last years the researchers at KDD Lab have used the M-Atlas system for their mobility data analyses and contributed to expand the M-Atlas functions and features. After so much time, the original design of M-Atlas needed to be reviewed in order to understand how it could be adapted to improve the performances and ease the work of the researchers performing analyses. In the last months the M-Atlas Core has been almost completely redesigned in the way it connects to the PostgreSQL database and how datasets and software methods are managed. The new design of the software methods as Plug-ins makes it very simple to invoke a method. Now the old DMQL module has to be modified in order to interact with the new Core and to take advantage from the new design. Moreover, as the DMQL language can be used by data scientists to directly write DMQL code or to interact through the GUI or the Web Service which will generate DMQL code, we built a new intuitive language that was easy to learn and similar to other known languages.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:399</infoId>
            <name>Romano, Vittorio Enrico Carlo</name>
            <affiliation code="dnet:pers:399" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
            <orcid>0000-0001-5316-6475</orcid>
            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355107</identifier>
    <title>On the behaviour of deviant communities in online social networks</title>
    <creators>
        <creator orcid="0000-0002-2852-8371">Coletto M</creator>
        <creator>Aiello Lm</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0001-7669-9055">Silvestri F</creator>
    </creators>
    <publisher>American Association for Artificial Intelligence (AAAI)</publisher>
    <subjects>
        <subject>Online social networks</subject>
        <subject>Database applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316186</url>
        <url hostedBy="www.aaai.org" rights="Open Access">http://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/view/13059</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316186/1/prod_355107-doc_115226.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>On-line social networks are complex ensembles of inter-linked communities that interact on different topics. Some communities are characterized by what are usually referred to as deviant behaviours, conducts that are commonly considered inappropriate with respect to the society's norms or moral standards. Eating disorders, drug use, and adult content consumption are just a few examples. We refer to such communities as deviant networks. It is commonly believed that such deviant networks are niche, isolated social groups, whose activity is well separated from the mainstream social media life. According to this assumption, research studies have mostly considered them in isolation. In this work we focused on adult content consumption networks, which are present in many on-line social media and in the Web in general. We found that few small and densely connected communities are responsible for most of the content production. Differently from previous work, we studied how such communities interact with the whole social network. We found that the produced content flows to the rest of the network mostly directly or through bridge-communities, reaching at least 450 times more users.We also show that a large fraction of the users can be inadvertently exposed to such content through indirect content resharing. We also discuss a demographic analysis of the producers and consumers networks. Finally, we show that it is easily possible to identify a few core users to radically uproot the diffusion process. We aim at setting the basis to study deviant communities in context.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:398</infoId>
            <name>Coletto, Mauro</name>
            <orcid>0000-0002-2852-8371</orcid>
            <affiliation code="dnet:pers:398" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:306</infoId>
            <name>Silvestri, Fabrizio</name>
            <orcid>0000-0001-7669-9055</orcid>
            <affiliation code="dnet:pers:306" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355145</identifier>
    <title>A vision for open cyber-scholarly infrastructures</title>
    <creators>
        <creator>Thanos C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Linked data</subject>
        <subject>learning practices</subject>
        <subject>Scientific article models</subject>
        <subject>In</subject>
        <subject>Library and Information Sciences</subject>
        <subject>Scholarly record</subject>
        <subject>Topic map</subject>
        <subject>Semantic publishing</subject>
        <subject>linked scholarly record</subject>
        <subject>Reading practices</subject>
        <subject>Computer Science Applications</subject>
        <subject>enhanced publication</subject>
        <subject>Information exploration</subject>
        <subject>linked data</subject>
        <subject>Communication</subject>
        <subject>Learning practices</subject>
        <subject>semantic publishing</subject>
        <subject>Information seeking</subject>
        <subject>topic map</subject>
        <subject>information exploration</subject>
        <subject>Business and International Management</subject>
        <subject>scholarly record</subject>
        <subject>Linked scholarly record</subject>
        <subject>reading practices</subject>
        <subject>information seeking</subject>
        <subject>Media Technology</subject>
        <subject>scientific article models</subject>
        <subject>Enhanced publication</subject>
        <subject>Digital Libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Publications" rights="Open Access">https://doi.org/10.3390/publications4020013</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.3390/publications4020013</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308019</url>
        <url hostedBy="Publications" rights="Open Access">http://www.mdpi.com/2304-6775/4/2/13</url>
        <url hostedBy="Publications" rights="Open Access">https://www.mdpi.com/2304-6775/4/2/13/pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308019/1/prod_355145-doc_115243.pdf</url>
    </urls>
    <dois>
        <doi>10.3390/publications4020013</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The characteristics of modern science, i.e., data-intensive, multidisciplinary, open, and heavily dependent on Internet technologies, entail the creation of a linked scholarly record that is online and open. Instrumental in making this vision happen is the development of the next generation of Open Cyber-Scholarly Infrastructures (OCIs), i.e., enablers of an open, evolvable, and extensible scholarly ecosystem. The paper delineates the evolving scenario of the modern scholarly record and describes the functionality of future OCIs as well as the radical changes in scholarly practices including new reading, learning, and information-seeking practices enabled by OCIs.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:786</infoId>
            <name>Thanos, Costantino</name>
            <affiliation code="dnet:pers:786" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>Thanos, C. The future of digital scholarship. Proced. Comput. Sci. 2014, 38, 22-27. [CrossRef] Porter, B.; Souther, A. Knowledge-Based Information Retrieval; AAAI Technical Report FS-99-02; Portland, OR, US, 1999.</citation>
        <citation>Franklin, M.; Halevy, A.; Maier, D. From databases to dataspaces: A new abstraction for information management. In SIGMOD Record; ACM: New York, NY, USA, 2005; Volume 34, pp. 27-33. [CrossRef] Bizer, C.; Heath, T.; Berners-Lee, T. Linked data-The story so far. Int. J. Semant. Web Inf. Syst. 2009, 5, 1-22.</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355157</identifier>
    <title>ISTI-CNR re-entry campaigns in 2015: progress-M 27M &amp; IADC test object CZ-2D second stage (2014-051C)</title>
    <creators>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Satellite re</subject>
        <subject>Civil protection applications</subject>
        <subject>Ground safety</subject>
        <subject>Risk windows definition</subject>
        <subject>IADC campaigns</subject>
        <subject>Progress-M 27M</subject>
        <subject>PHYSICAL SCIENCES AND ENGINEERING</subject>
        <subject>Celestial mechanics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/308031</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308031&amp;bitstreamId=d695605b-67ab-4107-b06b-1382678544b9</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Review of the ISTI-CNR activity carried out for the re-entry campaigns in 2015: Progress-M 27M &amp; IADC test object CZ-2D second stage (2014-051C).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355159</identifier>
    <title>On-the-fly mean-field model-checking for attribute-based coordination</title>
    <creators>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Difference and functional equations</subject>
        <subject>Mean-field approximation</subject>
        <subject>Modes of Computation</subject>
        <subject>Coordination Languages</subject>
        <subject>On-the-fly model-checking</subject>
        <subject>Specifying and Verifying and Reasoning about Programs</subject>
        <subject>Probabilistic model-checking</subject>
        <subject>Probabilistic on-the-fly model-checking</subject>
        <subject>[INFO]Computer Science [cs]</subject>
        <subject>Software/Program Verification</subject>
        <subject>Collective Adaptive Systems</subject>
        <subject>[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]</subject>
        <subject>Discrete time Markov chains</subject>
        <subject>Markov processes</subject>
        <subject>Performance Analysis and Design Aids</subject>
        <subject>PROBABILITY AND STATISTICS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-39519-7_5</url>
        <url hostedBy="hal.inria.fr" rights="Open Access">https://hal.inria.fr/hal-01631720/file/416253_1_En_5_Chapter.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/308033</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007/978-3-319-39519-7_5</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/355159/2016_355159.postprint.pdf?id=people______%3A%3A84dd4f5ba00a527c6728dc58c71b4259</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-39519-7_5</url>
        <url hostedBy="Hyper Article en Ligne" rights="not available">https://hal.inria.fr/hal-01631720</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/308033/2/prod_355159-doc_156965.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308033&amp;bitstreamId=c53ac887-bde8-4f08-ab39-269eae188f67</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-39519-7_5</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Typical Collective Adaptive Systems (CAS) consist of a large number of interacting objects that coordinate their activities in a decentralised and often implicit way. The design of such systems is challenging, as it requires scalable analysis tools and methods to check properties of proposed system designs before they are put into operation. A promising technique is Fast Mean-Field Approximated Model-checking. The FlyFast model-checker uses an on-the-fly algorithm for bounded PCTL model-checking of selected individuals in the context of very large populations whose global behaviour is approximated using deterministic limit techniques. Recently, specific modelling languages have been proposed for CAS. A key feature of such languages is the attribute-based interaction paradigm. In this paper we present an attribute-based coordination language as a front-end for FlyFast. Its formal probabilistic semantics is provided and a translation to the original FlyFast language is given and proved correct. Application examples are also provided.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-319-47166-2_46" url="https://dx.doi.org/10.1007/978-3-319-47166-2_46">A Tool-Chain for Statistical Spatio-Temporal Model Checking of Bike Sharing Systems</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355320</identifier>
    <title>Progetto MONSTER - Monitoraggio Strutturale di Edifici Storici con Tecnologie Wireless e Strumenti di Calcolo Innovativi [Rapporto tecnico n. 2]</title>
    <creators>
        <creator orcid="0000-0002-6862-7593">Barsocchi P.</creator>
        <creator orcid="0000-0002-3704-4133">Cassarà P.</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E.</creator>
        <creator orcid="0000-0002-7358-5607">Girardi M.</creator>
        <creator orcid="0000-0002-6982-242X">Mavilia F.</creator>
        <creator orcid="0000-0002-2467-569X">Padovani C.</creator>
        <creator orcid="0000-0002-3416-771X">Pellegrini D.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Masonry buildings</subject>
        <subject>Wireless sensor networks</subject>
        <subject>Structural health monitoring</subject>
        <subject>Numerical methods</subject>
        <subject>Dynamic analysis</subject>
        <subject>PHYSICAL SCIENCES AND ENGINE</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/308368</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/308368&amp;bitstreamId=390f64d8-a948-439b-a546-48da53b578ff</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Project MONSTER - Structural health monitoring of historic buildings via wireless sensor networks and numerical tools. Project Report n. 2</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:322</infoId>
            <name>Cassarà, Pietro</name>
            <orcid>0000-0002-3704-4133</orcid>
            <affiliation code="dnet:pers:322" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
            <orcid>0000-0002-7358-5607</orcid>
            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:350</infoId>
            <name>Mavilia, Fabio</name>
            <orcid>0000-0002-6982-242X</orcid>
            <affiliation code="dnet:pers:350" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1106</infoId>
            <name>Padovani, Cristina</name>
            <orcid>0000-0002-2467-569X</orcid>
            <affiliation code="dnet:pers:1106" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:430</infoId>
            <name>Pellegrini, Daniele</name>
            <orcid>0000-0002-3416-771X</orcid>
            <affiliation code="dnet:pers:430" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355458</identifier>
    <title>Two decades of terminology: European framework programmes titles</title>
    <creators>
        <creator orcid="0000-0003-0610-1550">Pardelli G</creator>
        <creator orcid="0000-0002-6035-3663">Goggi S</creator>
        <creator orcid="0000-0001-7323-3786">Giannini S</creator>
        <creator orcid="0000-0001-9518-0267">Biagioni S</creator>
    </creators>
    <publisher>European Language Resources Association ELRA</publisher>
    <subjects>
        <subject>Terminology  Extraction</subject>
        <subject>Natural Language Processing</subject>
        <subject>Terminological  Comparison</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324209</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/355458/2016_355458.published.pdf?id=people______%3A%3Afb30493907458cb6f0bb65b2f979b7be</url>
        <url hostedBy="www.lrec-conf.org" rights="Open Access">http://www.lrec-conf.org/proceedings/lrec2016/index.html</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324209/1/prod_355458-doc_115406.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This work analyses a corpus made of the titles of research projects belonging to the last four European Commission Framework Programmes (FP4, FP5, FP6, FP7) during a time span of nearly two decades (1994-2012). The starting point is the idea of creating a corpus of titles which would constitute a terminological niche, a sort of "cluster map" offering an overall vision on the terms used and the links between them. Moreover, by performing a terminological comparison over a period of time it is possible to trace the presence of obsolete words in outdated research areas as well as of neologisms in the most recent fields. Within this scenario, the minimal purpose is to build a corpus of titles of European projects belonging to the several Framework Programmes in order to obtain a terminological mapping of relevant words in the various research areas: particularly significant would be those terms spread across different domains or those extremely tied to a specific domain. A term could actually be found in many fields and being able to acknowledge and retrieve this cross-presence means being able to linking those different domains by means of a process of terminological mapping.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:540</infoId>
            <name>Biagioni, Stefania</name>
            <orcid>0000-0001-9518-0267</orcid>
            <affiliation code="dnet:pers:540" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1444</infoId>
            <name>Giannini, Silvia</name>
            <orcid>0000-0001-7323-3786</orcid>
            <affiliation code="dnet:pers:1444" type="Servizio" groupAcronym="SB" group="Servizio Biblioteca e Centro di Documentazione Scientifica (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou239</code>
            <name>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</name>
            <acronym>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355581</identifier>
    <title>Consistency tests for a recursive multi-scale 3D chromatin structure reconstruction algorithm</title>
    <creators>
        <creator orcid="0000-0002-1590-7890">Caudai C.</creator>
        <creator orcid="0000-0002-3433-3634">Salerno E.</creator>
        <creator orcid="0000-0003-4590-0718">Zoppè M.</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational biology</subject>
        <subject>Chromatin structure</subject>
        <subject>Chromosome conformation capture</subject>
        <subject>LIFE AND MEDICAL SCIENCES. Biology and genetics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/317411</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/355581/2016_355581.pdf?id=people______%3A%3A5201d8039b1aa9d512a19f1a42817cb2</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/317411/1/prod_355581-doc_115516.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this report, we test the consistency and coherence of an algorithm obtained as an extension of a technique we proposed in the past. This implements a recursive multi-scale reconstruction of the 3d chromatin structure from Chromosome Conformation Capture data. These data derive from millions of cells, so we cannot expect that they lead to a unique solution; for this reason, we adopt a statistic approach to sample the space of the solutions generated by a suitable objective function, in order to achieve congurations compatible with the input data and the known constraints. The consistency of the algorithm has been tested by producing a large number of results and evaluating the dispersion of the nal values of the objective function. Using the same solutions, synthetic contact matrices have been produced and compared with the input matrix to test the coherence of our solutions with the initial data. Furthermore, we investigated the presence of typical structures in the solutions by hierarchical clustering.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:246</infoId>
            <name>Caudai, Claudia</name>
            <orcid>0000-0002-1590-7890</orcid>
            <affiliation code="dnet:pers:246" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
            <orcid>0000-0001-6970-4725</orcid>
            <affiliation code="dnet:pers:691" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355582</identifier>
    <title>Timelines for mobile web usability evaluation</title>
    <creators>
        <creator orcid="0000-0001-8355-6909">Paternò F</creator>
        <creator>Schiavone Ag</creator>
        <creator>Pitardi P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Timelines</subject>
        <subject>User Interfaces</subject>
        <subject>Human-centered computing</subject>
        <subject>HCI design and evaluation methods</subject>
        <subject>Remote usability evaluation</subject>
        <subject>Human computer interaction (HCI)</subject>
        <subject>Tool for mobile Web logging analysis</subject>
        <subject>Usability testing</subject>
        <subject>Visualization systems and tools</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2909272</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2909132.2909272</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2909132.2909272</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/317412</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317412&amp;bitstreamId=87e22149-e2bf-434f-ad84-14da2cb0d586</url>
    </urls>
    <dois>
        <doi>10.1145/2909132.2909272</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In the field of Web usability evaluation, one potential effective approach is the usage of logging tools for remote usability analysis (i.e. tools capable of tracking and recording the users' activities while they interact with a Web site), and then presenting the recorded data to usability experts in such a way to support detection of possible usability problems. In the design of such automated tools, in addition to the problems related to user behavior recording, another important issue is the choice of meaningful visual representations in order to support the usability expert analysis. In this paper we present a timeline-based system for interactive events visualization, which has been exploited in a proxy-based mobile Web usability evaluation tool. We discuss how such visualizations can be exploited in finding usability issues and the type of problems that can be detected through them. We show various ways to compare timelines related to users sessions with ideal timelines representing optimal behavior.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1145/3098279.3098558" url="https://dx.doi.org/10.1145/3098279.3098558">Customizable automatic detection of bad usability smells in mobile accessed web applications</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:355583</identifier>
    <title>Detecting social interactions in working environments through sensing technologies</title>
    <creators>
        <creator>Alvarezgarcia Ja</creator>
        <creator>Arcos Garcia A</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
        <creator>Fortunati L</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
    </creators>
    <publisher>SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, W-1000 BERLIN 33, GERMANY</publisher>
    <subjects>
        <subject>Social Network Analysis</subject>
        <subject>Smart Office</subject>
        <subject>Social network analysis</subject>
        <subject>COMPUTER-COMMUNICATION NETWORKS</subject>
        <subject>Computational social science</subject>
        <subject>Computational Social Science</subject>
        <subject>Smart office</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="idus.us.es" rights="Open Access">https://idus.us.es/bitstream/11441/127472/1/Detecting%20Social%20Interactions%20in%20Working%20Environments%20Through%20Sensing%20Technologies.pdf</url>
        <url hostedBy="idUS. Depósito de Investigación Universidad de Sevilla" rights="Open Access">https://idus.us.es/handle//11441/127472</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-40114-0_3</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-40114-0_3</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/317413</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317413&amp;bitstreamId=e8a1af65-4998-4110-880a-6ffca8a2904e</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007%2F978-3-319-40114-0_3</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-40114-0_3</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The knowledge about social ties among humans is important to opti- mize several aspects concerning networking in mobile social networks. Gener- ally, ties among people are detected on the base of proximity of people. We dis- cuss here how ties concerning colleagues in an office can be detected by lever- aging on a number of sociological marker like co-activity, proximity, speech ac- tivity and similarity of locations visited. We present the results from two data gathering campaigns located in Italy and Spain.</abstract>
    <source>ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pp. 21-29</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356115</identifier>
    <title>Spatial logic and spatial model checking for closure spaces</title>
    <creators>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator>Loreti M</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Modal Logics</subject>
        <subject>Model Checking</subject>
        <subject>Closure Spaces</subject>
        <subject>Topological Spaces</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-34096-8_6</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/317997</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007/978-3-319-34096-8_6</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356115/2016_356115.postprint.pdf?id=people______%3A%3Aad2a7f232a137658d1ef5d18379df347</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-34096-8_6</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/317997/2/prod_356115-doc_159244.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317997&amp;bitstreamId=edfb73e6-bfc3-498b-a1fb-52b018d70877</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-34096-8_6</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Spatial aspects of computation are increasingly relevant in Computer Science, especially in the field of collective adaptive systems and when dealing with systems distributed in physical space. Traditional formal verification techniques are well suited to analyse the temporal evolution of concurrent systems; however, properties of space are typically not explicitly taken into account. This tutorial provides an introduction to recent work on a topology-inspired approach to formal verification of spatial properties depending upon (physical) space. A logic is presented, stemming from the tradition of topological interpretations of modal logics, dating back to earlier logicians such as Tarski, where modalities describe neighbourhood. These topological definitions are lifted to the more general setting of closure spaces, also encompassing discrete, graph-based structures. The present tutorial illustrates the extension of the framework with a spatial surrounded operator, leading to the spatial logic for closure spaces SLCS, and its combination with the temporal logic CTL, leading to STLCS. The interplay of space and time permits one to define complex spatio-temporal properties. Both for the spatial and the spatio-temporal fragment efficient model-checking algorithms have been developed and their use on a number of case studies and examples is illustrated.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-319-47166-2_46" url="https://dx.doi.org/10.1007/978-3-319-47166-2_46">A Tool-Chain for Statistical Spatio-Temporal Model Checking of Bike Sharing Systems</dataset>
        <dataset doi="10.1007/978-3-030-03421-4_24" url="https://dx.doi.org/10.1007/978-3-030-03421-4_24">Statistical Model Checking of a Moving Block Railway Signalling Scenario with Uppaal SMC</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356118</identifier>
    <title>Customizable dynamic user interface distribution</title>
    <creators>
        <creator orcid="0000-0003-1029-9934">Manca M</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Multi-device User Interfaces</subject>
        <subject>Distributed User Interfaces</subject>
        <subject>Model-based User Interface Description Languages</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2933259</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2933242.2933259</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318000</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356118/2016_356118.postprint.pdf?id=people______%3A%3Accb0e6d68229b84513ce677a8cd2ecb0</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2933242.2933259</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318000/2/prod_356118-doc_162723.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318000&amp;bitstreamId=d2b69aff-807d-4e82-807e-143c174c3177</url>
    </urls>
    <dois>
        <doi>10.1145/2933242.2933259</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This paper describes a solution for flexibly obtaining distributed user interfaces across multiple devices. To this end, we propose a model-based approach, with associated authoring environment, which allows designers and developers to specify how to distribute interfaces at various granularity levels, ranging from entire user interfaces to parts of single interactive elements, and obtain the corresponding implementations. This solution includes run-time support for keeping the resulting user interfaces synchronized and customization tools that allow end users to dynamically change how the user interface elements are distributed across multiple interactive devices in order to address unforeseen situations. We also report on a first user test and how the environment has evolved according to the user feedback.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:154</infoId>
            <name>Manca, Marco</name>
            <orcid>0000-0003-1029-9934</orcid>
            <affiliation code="dnet:pers:154" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1145/3290605.3300792" url="https://dx.doi.org/10.1145/3290605.3300792">Cross-Device Taxonomy</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356634</identifier>
    <title>Multiscale descriptors and metric learning for human body shape retrieval</title>
    <creators>
        <creator>Giachetti A.</creator>
        <creator>Isaia L.</creator>
        <creator orcid="0000-0002-9527-4594">Garro V.</creator>
    </creators>
    <publisher>Springer., Heidelberg , Germania</publisher>
    <subjects>
        <subject>Body scan</subject>
        <subject>Shape retrieval</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Software</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>Re-identification</subject>
        <subject>Metric learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::bf6e7c8631f689bef3d6c992be8d2932</documentPage>
    <urls>
        <url hostedBy="The Visual Computer" rights="Closed Access">https://doi.org/10.1007/s00371-016-1234-z</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/s00371-016-1234-z</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/article/10.1007/s00371-016-1234-z</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/356634</url>
    </urls>
    <dois>
        <doi>10.1007/s00371-016-1234-z</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The aim of this paper was to show the usefulness of applying feature projection or metric learning techniques to multiscale descriptor spaces for the effective retrieval of human bodies of labeled subjects. Using learned subspace projections it is possible to strongly improve the retrieval performance obtained with state-of-the-art global descriptors, and, in some cases, to perform an effective feature fusion. Results obtained on different human scan datasets show that Linear Discriminant Analysis, applied to Histograms of Area Projection Transform and Shape DNA features after a preliminary dimensionality reduction, creates compact descriptors that are quite effective in improving the subject retrieval scores both when class (subject) examples are available in the training set and when only examples of classes not included in the test set are used for training. Other mappings tested are less effective even if still able to improve the results. Retrieval scores obtained in the same experimental settings used in recent related papers show that the approach based on our mapped features largely outperforms the other methods proposed for the task, even those specifically designed for human body characterization.</abstract>
    <source>The visual computer 32 (2016): 693–703. doi:10.1007/s00371-016-1234-z</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:431</infoId>
            <name>Garro, Valeria</name>
            <orcid>0000-0002-9527-4594</orcid>
            <affiliation code="dnet:pers:431" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356635</identifier>
    <title>A virtual experience across the buried history</title>
    <creators>
        <creator>Canzoneri A</creator>
        <creator orcid="0000-0003-4083-3835">Pavoni G</creator>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0003-2347-2011">Pingi P</creator>
        <creator>De Giorgi M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D web</subject>
        <subject>Virtual tour</subject>
        <subject>3D reconstruction</subject>
        <subject>Interactive experience</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-40651-0_13</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-40651-0_13</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319679</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319679&amp;bitstreamId=1c329961-da30-4941-9748-a826728b2635</url>
        <url hostedBy="link.springer.com" rights="Restricted">https://link.springer.com/chapter/10.1007%2F978-3-319-40651-0_13</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-40651-0_13</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The Sant'Angelo cave church is an underground medieval Benedictine complex in the south of Italy, affected by serious structural and chemical degradation. In the context of a documentation campaign promoted by the local Superintendence and supported by the IPERIONCH. it project, we carried out an accurate 3D and photographic survey, and reconstructed a detailed 3D model of the site (encoding shape and colour). While the primary purpose of this large amount of collected data was to provide a metric documentation of the site, the completeness and the high detail of the survey suggested also a possible use for dissemination and virtual presentation. Thus, we exploited the 3D digital models to design and build a virtual visit of the church, oriented to scholars, museums and tourists. This paper describes the design and implementation of this educational experience, closely related to the bibliographic sources of the artistic heritage, fully enriched with hyper-textual information, intuitive and easy to use for all users regardless of their level of familiarity with the 3D medium.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:438</infoId>
            <name>Pavoni, Gaia</name>
            <orcid>0000-0003-4083-3835</orcid>
            <affiliation code="dnet:pers:438" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:25</infoId>
            <name>Pingi, Paolo</name>
            <orcid>0000-0003-2347-2011</orcid>
            <affiliation code="dnet:pers:25" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:356865</identifier>
    <title>How-to implement algorithms for DataMiner</title>
    <creators>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator orcid="0000-0001-8375-6644">Panichi G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cloud computing</subject>
        <subject>e-Infrastructures</subject>
        <subject>Research infrastructures</subject>
        <subject>Distributed algorithms</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320363</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356865/2016_356865.pdf?id=people______%3A%3Aae5bb8d4332fb0126046e3264ea79961</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320363/1/prod_356865-doc_116255.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this document we describe how to implement an algorithm that should run on the D4Science DataMiner service. DataMiner is a cross-usage service that provides users and services with tools for performing data mining operations. Specifically, it offers a unique access to perform data mining and statistical operations on heterogeneous data, which may reside either at client side, in the form of comma-separated values files, or be remotely hosted, possibly in a database. The DataMiner service is able to take inputs and execute the operation requested by a client or a user, by invoking the most suited computational facility from a set of available computational resources. Executions can run either on multi-core machines or on different computational platforms, such as D4Science and other different private and commercial Cloud providers.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:310</infoId>
            <name>Panichi, Giancarlo</name>
            <orcid>0000-0001-8375-6644</orcid>
            <affiliation code="dnet:pers:310" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <code>com_20.500.14243_21</code>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356866</identifier>
    <title>The DataMiner manager web interface</title>
    <creators>
        <creator orcid="0000-0001-8375-6644">Panichi G</creator>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cloud computing</subject>
        <subject>e-Infrastructures</subject>
        <subject>Research infrastructures</subject>
        <subject>Distributed algorithms</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320364</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356866/2016_356866.pdf?id=people______%3A%3A77383ba06d4b40534358fad8673d7d1c</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320364/1/prod_356866-doc_116256.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this document we describe the DataMiner Manager Web interface that allows interacting with the gCube DataMiner service. DataMiner is a cross-usage service that provides users and services with tools for performing data mining operations. Specifically, it offers a unique access to perform data mining and statistical operations on heterogeneous data, which may reside either at client side, in the form of comma-separated values files, or be remotely hosted, possibly in a database. The DataMiner service is able to take inputs and execute the operation requested by a client or a user, by invoking the most suited computational facility from a set of available computational resources. Executions can run either on multi-core machines or on different computational platforms, such as D4Science and other different private and commercial Cloud providers.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:310</infoId>
            <name>Panichi, Giancarlo</name>
            <orcid>0000-0001-8375-6644</orcid>
            <affiliation code="dnet:pers:310" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356867</identifier>
    <title>The statistical algorithms importer</title>
    <creators>
        <creator orcid="0000-0001-8375-6644">Panichi G</creator>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cloud computing</subject>
        <subject>e-Infrastructures</subject>
        <subject>Research infrastructures</subject>
        <subject>Distributed algorithms</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320365</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356867/2016_356867.pdf?id=people______%3A%3A0d40e198492798bcdb30ea7842457532</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320365/1/prod_356867-doc_116257.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this document we describe the Statistical Algorithms Importer Web interface. The Statistical Algorithms Importer (SAI) is a tool to import algorithms in the D4Science e-Infrastructure. Currently, it supports R scripts integration. SAI separates R scripts development from its deployment in the infrastructure in a very flexible way. After the first deployment, made in collaboration with the e-Infrastructure team, script developers can modify and update their scripts by themselves, without the intervention of the e-Infrastructure team.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:310</infoId>
            <name>Panichi, Giancarlo</name>
            <orcid>0000-0001-8375-6644</orcid>
            <affiliation code="dnet:pers:310" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356984</identifier>
    <title>A subscription and notification broker for scholarly communication: functionalities and architecture</title>
    <creators>
        <creator orcid="0000-0002-4406-428X">Artini M</creator>
        <creator orcid="0000-0001-9613-6639">Atzori C</creator>
        <creator orcid="0000-0003-2855-1245">La Bruzzo S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>OpenAIRE</subject>
        <subject>Subscription and notification</subject>
        <subject>Publications</subject>
        <subject>Scalability</subject>
        <subject>Broker</subject>
        <subject>Services</subject>
        <subject>Digital libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320938</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356984/2016_356984.pdf?id=people______%3A%3Ae6fb873c19b646982dcf0460153495e9</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320938/1/prod_356984-doc_116352.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The OpenAIRE infrastructure services populate and provide access to a graph of objects relative to publications, datasets, people, organizations, projects, and funders aggregated from a variety of data sources. Not only, objects in the graph are harmonized to achieve semantic homogeneity, de-duplicated and merged, and enriched by inference with missing properties and/or relationships. The OpenAIRE Literature Broker Service is designed to offer subscription and notification functionalities for institutional repositories to: (i) learn about publication objects in OpenAIRE that do not appear in their collection but may be pertinent to it, and (ii) learn about extra properties or relationships relative to publication objects in their collection. Due to the high variability of the information space the following problems may arise: (i) subscriptions may vary over time to adapt to information space evolution, (ii) repository managers need to be able to quickly test their configurations before activating them, (iii) notifications may be redundant, and (iv) notifications may be very large over time. This paper presents the data model and software architecture of the OLBS, specifically designed to address these issues.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::87bf02a8401a8fb75532a443eaa19465</openaireId>
            <code>643410</code>
            <name>Open Access Infrastructure for Research in Europe 2020</name>
            <acronym>OpenAIRE2020</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:810</infoId>
            <name>Artini, Michele</name>
            <orcid>0000-0002-4406-428X</orcid>
            <affiliation code="dnet:pers:810" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:160</infoId>
            <name>Atzori, Claudio</name>
            <orcid>0000-0001-9613-6639</orcid>
            <affiliation code="dnet:pers:160" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:136</infoId>
            <name>La Bruzzo, Sandro Fabrizio</name>
            <orcid>0000-0003-2855-1245</orcid>
            <affiliation code="dnet:pers:136" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356990</identifier>
    <title>Human-computer interaction and international public policymaking: a framework for understanding and taking future actions</title>
    <creators>
        <creator>Lazar J.</creator>
        <creator>Abascal J.</creator>
        <creator>Barbosa S.</creator>
        <creator>Barksdale J.</creator>
        <creator>Friedman B.</creator>
        <creator>Grossklags J.</creator>
        <creator>Gulliksen J.</creator>
        <creator>Johnson J.</creator>
        <creator>Mcewan T.</creator>
        <creator>Martínez-Normand L.</creator>
        <creator>Michalk W.</creator>
        <creator>Tsai J.</creator>
        <creator>Van Der Veer G.</creator>
        <creator>Von Axelson H.</creator>
        <creator>Walldius A.</creator>
        <creator>Whitney G.</creator>
        <creator>Winckler M.</creator>
        <creator>Wulf V.</creator>
        <creator>Churchill E.  F.</creator>
        <creator>Cranor L.</creator>
        <creator>Davis J.</creator>
        <creator>Hedge A.</creator>
        <creator>Hochheiser H.</creator>
        <creator>Hourcade J.  P.</creator>
        <creator>Lewis C.</creator>
        <creator>Nathan L.</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F.</creator>
        <creator>Reid B.</creator>
        <creator>Quesenbery W.</creator>
        <creator>Selker T.</creator>
        <creator>Wentz B.</creator>
    </creators>
    <publisher>Now Publishers</publisher>
    <subjects>
        <subject>Interdisciplinary influence: The role of the social sciences</subject>
        <subject>Computer Science Applications</subject>
        <subject>History of the research community</subject>
        <subject>User Interfaces</subject>
        <subject>Privacy and social implications</subject>
        <subject>User-centered design processes [Design and Evaluation]</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>Design and Evaluation: User-centered design processes</subject>
        <subject>The role of the social sciences [Interdisciplinary influence]</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="Foundations and Trends® in Human–Computer Interaction" rights="Open Access">https://eprints.mdx.ac.uk/20131/1/FTHCI_Policy_Published.pdf</url>
        <url hostedBy="Foundations and Trends® in Human–Computer Interaction" rights="not available">https://doi.org/10.1561/1100000062</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1561/9781680831115</url>
        <url hostedBy="DOI Resolver" rights="Metadata Only Access">https://dx.doi.org/10.1561/1100000062</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/320944</url>
        <url hostedBy="www.nowpublishers.com" rights="Metadata Only Access">http://www.nowpublishers.com/article/Details/HCI-062</url>
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    <dois>
        <doi>10.1561/1100000062</doi>
        <doi>10.1561/9781680831115</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This monograph lays out a discussion framework for understanding the role of human-computer interaction (HCI) in public policymaking. We take an international view, discussing potential areas for research and application, and their potential for impact. Little has been written about the intersection of HCI and public policy; existing reports typically focus on one specific policy issue or incident. To date, there has been no overarching view of the areas of existing impact and potential impact. We have begun that analysis and argue here that such a global view is needed. Our aims are to provide a solid foundation for discussion, cooperation and collaborative interaction, and to outline future programs of activity. The five sections of this report provide relevant background along with a preliminary version of what we expect to be an evolving framework. Sections 1 and 2 provides an introduction to HCI and public policy. Section 3 discusses how HCI already informs public policy, with representative examples. Section 4 discusses how public policy influences HCI and provides representative public policy areas relevant to HCI, where HCI could have even more impact in the future: (i) laws, regulations, and guidelines for HCI research, (ii) HCI research assessments, (iii) research funding, (iv) laws for interface design - accessibility and language, (v) data privacy laws and regulations, (vi) intellectual property, and (vii) laws and regulations in specific sectors. There is a striking difference between where the HCI community has had impact (Section 3) and the many areas of potential involvement (Section 4). Section 5 a framework for action by the HCI community in public policy internationally. This monograph summarizes the observations and recommendations from a daylong workshop at the CHI 2013 conference in Paris, France. The workshop invited the community's perspectives regarding the intersection of governmental policies, international and domestic standards, recent HCI research discoveries, and emergent considerations and challenges. It also incorporates contributions made after the workshop by workshop participants and by individuals who were unable to participate in the workshop but whose work and interests were highly related and relevant.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
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    <datasets/>
    <citations>
        <citation>3 Human-Computer Interaction Informing Public Policy 82 3.1 General . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 3.2 Representative policy examples . . . . . . . . . . . . . . . 83</citation>
        <citation>4 Public Policy Influencing Human-Computer Interaction 95 4.1 General . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95</citation>
        <citation>5 Framework and Suggested Actions for Human-Computer Interaction Involvement in Public Policy Internationally 125 5.1 Building a reputation as the human-computer interaction community . . . . . . . . . . . . . . . . . . . . 125 N. Bidwell, M. Siya, G. Marsden, W. Tucker, M. Tshemese, N. Gaven, and S. Robinson. Walking and the social life of solar charging in rural Africa. ACM Transactions on Computer-Human Interaction (TOCHI), 20(4):1-33, 2013.</citation>
        <citation>T. Birkland. An Introduction to the Policy Process: Theories, Concepts, and Models of Public Policy Making. Armonk, NY: ME Sharpe, 2010.</citation>
        <citation>BITV 2.0 (Barrier Free Information Technologies). Verordnung zur schaffung barrierefreier informationstechnik nach dem behindertengleichstellungsgesetz (barrierefreie-informationstechnik-verordnung - bitv 2.0). Retrieved from: http://www.gesetze-im-internet.de/bitv_2_0/ BJNR184300011.html., 2011.</citation>
        <citation>D. Blumenthal and M. Tavenner. The “meaningful use” regulation for electronic health records. New England Journal of Medicine, 363(6):501-504, 2010.</citation>
        <citation>P. Boivie. Global Standard: How Computer Displays Worldwide got the TCO Logo. Premiss Publishing, Stockholm, 2007.</citation>
        <citation>A. Borning, B. Friedman, J. Davis, and P. Lin. Informing public deliberation: Value sensitive design of indicators for a large-scale urban simulation. In H. Gellersen, K. Schmidt, M. Beaudouin-Lafon, and W. Mackay, editors, ECSCW 2005: Proceedings of the Ninth European Conference on ComputerSupported Cooperative Work, pages 449-468, Dordrecht, The Netherlands: Springer, 2005.</citation>
        <citation>E. Brady, M. Morris, and J. Bigham. Gauging receptiveness to social microvolunteering. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI), pages 1055-1064, 2015.</citation>
        <citation>J. Brewer. Standards bodies, access to information technology, and human rights. In J. Lazar and M. Stein, editors, Global Inclusion: Disability, Human Rights, and Information Technology, Philadelphia: University of Pennsylvania Press, 2017.</citation>
        <citation>British Standards Institution (BSI). BS 8878:2010. Web accessibility. code of practice. Retrieved from http://shop.bsigroup.com/en/ProductDetail/ ?pid=000000000030180388, 2010.</citation>
        <citation>European Commission. Digital agenda for Europe: A Europe 2020 initiative. Retrieved from: http://ec.europa.eu/digital-agenda/, 2015.</citation>
        <citation>European Union. Article 29 data protection working party: Opinion 04/2012 on cookie consent exemption. Retrieved from http://ec.europa.eu/justice/data-protection/article-29/documentation/ opinion-recommendation/files/2012/wp194_en.pdf, 2012b.</citation>
        <citation>V. Evers, S. Brewster, J. Lazar, Z. Liu, G. Marsden, R. Prates, and F. Nijboer. Changing requirements to HCI funding: A global perspective. Extended Abstracts on Human Factors in Computing Systems (CHI), pages 1209- 1212, 2012.</citation>
        <citation>S. Faniran and K. Olaniyan. e-governance diffusion in Nigeria: The case for citizens' demand. In T. Janowski and J. Davies, editors, Proceedings of the 3rd International Conference on Theory and Practice of Electronic Governance (ICEGOV), pages 145-149, 2009.</citation>
        <citation>H. Hochheiser and J. Lazar. HCI and societal issues: A framework for engagement. International Journal of Human-Computer Interaction, 23(3):339- 374, 2007.</citation>
        <citation>P. G. Kelley, L. F. Cranor, and N. Sadeh. Privacy as part of the app decisionmaking process. In Proceedings of the Conference on Human Factors in Computing Systems (CHI), pages 3393-3402, 2013.</citation>
        <citation>A. Kramer, J. Guillory, and J. Hancock. Experimental evidence of massivescale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24):8788-8790, 2014.</citation>
        <citation>T. Kriplean, J. T. Morgan, D. G. Freelon, A. Borning, and L. Bennett. Supporting reflective public thought with considerit. Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW), pages 265- 274, 2012a.</citation>
        <citation>T. Kriplean, M. Toomim, J. Morgan, A. Borning, and A. Ko. Is this what you meant? Promoting listening on the web with reflect. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), pages 1559-1568, 2012b.</citation>
        <citation>M. Kropf and D. Kimball. Helping America vote: The limits of election reform. London, United Kingdom: Routledge, 2012.</citation>
        <citation>US Department of Health and Human Services. Federal policy for the protection of human subjects ('common rule'). Retrieved from http://www.hhs. gov/ohrp/humansubjects/commonrule/, 2014b.</citation>
        <citation>US Department of Health, Education, and Welfare (DHEW). Records, computers, and the rights of citizens: Report of the secretary's advisory committee on automated personal data systems. DHEW Report no., (OS)73-94, pp. 41-42, 1973.</citation>
    </citations>
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            <name>03 Libro</name>
            <acronym>03 Libro</acronym>
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            <name>03.01 Monografia o trattato scientifico</name>
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<record>
    <identifier>oai:it.cnr:prodotti:356991</identifier>
    <title>Distributional random oversampling for imbalanced text classification</title>
    <creators>
        <creator orcid="0000-0002-0377-1025">Moreo Fernandez A</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
    </creators>
    <publisher>ACM Press</publisher>
    <subjects>
        <subject>ARTIFICIAL INTELLIGENCE. Learning</subject>
        <subject>Distributional semantics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2914722&amp;CFID=812657189&amp;CFTOKEN=16638796</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2911451.2914722</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320945</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356991/2016_%20356991.postprint.pdf?id=people______%3A%3A74f2cbd1edbb10583343d061801cd340</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2914722</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320945/2/prod_356991-doc_159207.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320945&amp;bitstreamId=b669c664-9e0c-406e-89e5-9569f7c559e2</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2914722</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The accuracy of many classification algorithms is known to suffer when the data are imbalanced (i.e., when the distribution of the examples across the classes is severely skewed). Many applications of binary text classification are of this type, with the positive examples of the class of interest far outnumbered by the negative examples. Oversampling (i.e., generating synthetic training examples of the minority class) is an often used strategy to counter this problem. We present a new oversampling method specifically designed for classifying data (such as text) for which the distributional hypothesis holds, according to which the meaning of a feature is somehow determined by its distribution in large corpora of data. Our Distributional Random Oversampling method generates new random minority-class synthetic documents by exploiting the distributional properties of the terms in the collection. We discuss results we have obtained on the Reuters-21578, OHSUMED-S, and RCV1-v2 datasets.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:320</infoId>
            <name>Moreo Fernandez, Alejandro David</name>
            <orcid>0000-0002-0377-1025</orcid>
            <affiliation code="dnet:pers:320" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:356992</identifier>
    <title>Ordinal text quantification</title>
    <creators>
        <creator>Da San Martino G</creator>
        <creator>Gao W</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
    </creators>
    <publisher>ACM Press</publisher>
    <subjects>
        <subject>ARTIFICIAL INTELLIGENCE. Learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?doid=2911451.2914749</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2911451.2914749</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320946</url>
        <url hostedBy="ink.library.smu.edu.sg" rights="Open Access">https://ink.library.smu.edu.sg/sis_research/4569</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356992/2016_%20356992.postprint.pdf?id=people______%3A%3A85597090c7fd4cb8aa36920d0301d37a</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2914749</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320946/2/prod_356992-doc_159209.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320946&amp;bitstreamId=4d8eaaa1-ed5e-402f-bbbb-c6a03304a206</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2914749</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In recent years there has been a growing interest in text quantification, a supervised learning task where the goal is to accurately estimate, in an unlabelled set of items, the prevalence (or "relative frequency") of each class c in a predefined set C. Text quantification has several applications, and is a dominant concern in fields such as market research, the social sciences, political science, and epidemiology. In this paper we tackle, for the first time, the problem of ordinal text quantification, defined as the task of performing text quantification when a total order is defined on the set of classes; estimating the prevalence of "five stars" reviews in a set of reviews of a given product, and monitoring this prevalence across time, is an example application. We present OQT, a novel tree-based OQ algorithm, and discuss experimental results obtained on a dataset of tweets classified according to sentiment strength.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1145/2911451.2914749" url="https://dx.doi.org/10.1145/2911451.2914749">Ordinal Text Quantification</dataset>
        <dataset doi="10.1007/978-1-4939-7131-2_110170" url="https://dx.doi.org/10.1007/978-1-4939-7131-2_110170">Sentiment Quantification of User-Generated Content</dataset>
    </datasets>
    <citations/>
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        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:356994</identifier>
    <title>On automotive embedded software: process, standard, assessment and safety issues</title>
    <creators>
        <creator>Fabbrini F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Automotive software</subject>
        <subject>SOFTWARE ENGINEERING. Requirements/Specifications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/320948</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320948&amp;bitstreamId=b6cf0ecf-d444-419a-a75f-a9c969ea886e</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The SSEC is part of ISTI, an Istitute of the Italian National Research Council that performs research in the field of Information and Telecommunication Technology, mostly within the framework of international research projects. The Center performs independent evaluation and certification of both products and processes in the field of IT The Center was created in 1984 and since then it has provided services concerning: The evaluation of sw products (based on quality models derived from ISO 9126 and ISO 14598) ¥ The evaluation and certification of SW products, based on specific requirements and standards: specifically, the certification of conformance of the SW on board ECRs and Ticketing Systems to the requirements of the italian fiscal law ¥ More recently, the evaluation of sw processes (SPA) according to international standards (such as ISO 15504 and Automotive SPICE), mostly in the framework of contract agreements with car makers (FIAT Auto) and sw suppliers In order to perform these activities, the competencies of the Center are derived from the competencies of the Institute and from the active participation in national and international WGs for standardization in the field of SE. -- Our participation in WGs related to the SW process, such as SPICE and WG10 (of which we have been part since the beginning, that is since 1992/93) is due to the common consideration that the quality of a product is highly influenced by the quality of the processes used to develop it (and maintain it). According to this principle, SPA can be seen as a way to understand, mange and improve the way a supplier develops software. The assessment can be done ¥ To determine a CAPABILITYlevel for each supplier, and consequently a RISK level associated to each supplier. To define selection criteria to be used in choosing suppliers, based on their CAPABILITY To understand not only STRONG areas of the development process, but also the WEAK ones, so to help the supplier to improve them To define better functional requirements and better procedures for validation and verification, which is as relevant to the customer as the supplier.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:444</infoId>
            <name>Fabbrini, Fabrizio</name>
            <affiliation code="dnet:pers:444" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <acronym>04 Contributo in convegno</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
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            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:356995</identifier>
    <title>End-user development of cross-device user interfaces</title>
    <creators>
        <creator>Nebeling M</creator>
        <creator>Kubitza T</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F</creator>
        <creator>Dong T</creator>
        <creator>Li Y</creator>
        <creator>Nichols J</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>End-user development</subject>
        <subject>INFORMATION INTERFACES AND PRESENTATION</subject>
        <subject>Cross-device interfaces</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2948128</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2933242.2948128</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2933242.2948128</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/320949</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320949&amp;bitstreamId=95e7fbea-1667-4ed6-94d9-f2e195f34ce6</url>
    </urls>
    <dois>
        <doi>10.1145/2933242.2948128</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The goal of the XDUI 2016 workshop is to bring together leading and upcoming researchers in the area of multi-device interaction where many different cross-device systems and tools have recently been investigated. This workshop marks a shift from thinking about the technical issues of distributed user interfaces to thinking about the users and enabling crossdevice use of existing applications and interfaces. We will discuss the issues specific to end-user development of crossdevice user interfaces and develop a research agenda that tackles these issues with solutions suitable for non-technical users. We target both new and established researchers in the area-new researchers will quickly get an overview of the state of the art, while established researchers can bring in their expertise and knowledge of existing cross-device techniques.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/SNSF/Careers/154571/CH/Harnessing Multiple Devices and Crowds to Enable Richer Applications and Tasks on Small Mobile Devices/</infoId>
            <openaireId>snsf________::82d1fc521098d1c3c9c6a530baa68ec2</openaireId>
            <code>154571</code>
            <name>Harnessing Multiple Devices and Crowds to Enable Richer Applications and Tasks on Small Mobile Devices</name>
            <acronym/>
            <funder>SNSF</funder>
            <program>Careers</program>
            <jurisdiction>CH</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-11890-7_38" url="https://dx.doi.org/10.1007/978-3-030-11890-7_38">Sketching by Cross-Surface Collaboration</dataset>
    </datasets>
    <citations/>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:356997</identifier>
    <title>Proceedings of SIGIR 2016</title>
    <creators>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
        <creator>Aslam J</creator>
        <creator>Ruthven I</creator>
        <creator>Zobel J</creator>
    </creators>
    <publisher>ACM Press</publisher>
    <subjects>
        <subject>Information search and retrieval</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2911451</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320951</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/356997/2016_%20356997.postprint.pdf?id=people______%3A%3A67e307ea7af03169447903ebf83c2e11</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320951/2/prod_356997-doc_159154.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320951&amp;bitstreamId=a5d40ba8-cb7a-4292-858c-b662043be1b7</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Welcome to SIGIR 2016, the 39th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, the premier conference in the area. We are grateful to all those who chose to submit their research papers to SIGIR 2016 and gave the Program Committee an opportunity to evaluate their work for potential inclusion in the program. We are also grateful to the 61 Senior Program Committee Members, 244 Program Committee Members, and many additional reviewers for providing significant time and effort to selecting this year's conference program. This pool of committed SIGIR volunteers comes from 24 countries and over 180 institutions. The PC reviewed 341 papers for the full paper track, and accepted 62 with an acceptance rate of 18%. The top countries in terms of accepted papers (taking all author affiliations of each paper equally into account) were the U.S.A. (34%), and China (23%) with the most successful countries (as measured by how likely authors from that country were to have their papers accepted) were Russia (55% of authors had their paper accepted), Israel (50%), and Germany (45%). With 1236 authors overall, 313 were from the U.S.A and 283 from China; and 289 from the next six most represented countries combined. As has been customary for many years, SIGIR 2016 employed a two-tier double-blind review process. At least three reviewers reviewed each paper, and then the Primary Area Chair of the paper led a discussion, which was used as the basis of the meta-review. The Secondary Area Chair assigned to each paper double-checked the reviews and discussion and, in some cases, provided an additional review. The PC chairs carefully examined the reviews and associated discussion, asking for additional reviews where necessary to provide a fuller discussion or additional expert opinion. The SIGIR 2016 PC meeting operated as a virtual meeting, held over several days, in order tofacilitate the involvement of as many Senior PC members as possible. Prior to the PC meeting the PC chairs proposed a list of "clear accepts" and "clear rejects" where the meta-reviews and reviews clearly indicated a decision. Over the four days of the PC meeting, the chairs indicated which undecided papers were open for discussion, led the discussion on these papers, and made the final decision when discussions moved towards completion; overall nearly half of the submitted papers were reviewed by the chairs or at the meeting. We are grateful for the involvement of the Senior PC members in supporting this PC meeting, especially those very committed members who participated in almost every discussion. The virtual PC meeting was supplemented by a small physical meeting of the Senior PC members who attended the ECIR 2016 conference, which took place during the same week. The short paper track received 339 submissions and accepted 104 papers for what promises to be a strong short paper track. Thanks are due to Ben Carterette, Carlos Castillo, and Jaana Kekäläinen, the track chairs, for arranging and managing a thorough review process for so many papers -- a huge effort for which we are very grateful. The tutorial track reviewed 20 submissions and accepted 2 full-day tutorials and 10 half-day tutorials. We are grateful to Evangelos Kanoulas and Tie-Yan Liu for leading the selection of a diverse and high quality tutorial program. The workshops track received 12 submissions and selected 7 workshop proposals. We thank Aristides Gionis and Edie Rasmussen for their efforts in producing a great set of workshops. The demos track received 35 submissions of which 21 were accepted. Many thanks are due to Craig Macdonald for chairing this track and providing us with an array of interesting demos. Brian D. Davison and Kira Radinsky organised the Doctoral Consortium, a vitally important part of the SIGIR program. Thanks to their efforts, the event received 23 submissions from doctoral students and accepted 15 of these for presentation and discussion at the consortium. This year's industry track is the SIGIR Symposium on IR in Practice (SIRIP 2016) co-chaired by Jussi Karlgren and Gilad Mishne. Their efforts in organizing SIRIP and producing an interesting set of speakers from diverse backgrounds are gratefully acknowledged.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_90</code>
            <name>04.08 Curatela di Atti di convegno</name>
            <acronym>04.08 Curatela di Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:356998</identifier>
    <title>OpenLinkData</title>
    <creators>
        <creator orcid="0000-0002-2426-775X">Versienti L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Web Service</subject>
        <subject>RDF</subject>
        <subject>Big Data</subject>
        <subject>Digital Libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="github.com" rights="Metadata Only Access">https://github.com/lversienti/OpenLinkData</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/320952</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The OpenLinkData software describing all the functionalities for collecting, storing and analysing the big data produced from the applications that are developed in the context of the Smart Area project. The API allowing these applications to interact with one another in an intelligent way, based on the sharing of the semantics of the exchanged data.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:621</infoId>
            <name>Versienti, Loredana</name>
            <orcid>0000-0002-2426-775X</orcid>
            <affiliation code="dnet:pers:621" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357140</identifier>
    <title>Wi-Fi probes as digital crumbs for crowd localisation</title>
    <creators>
        <creator orcid="0000-0003-3835-3920">Potortì F.</creator>
        <creator orcid="0000-0001-7238-2181">Crivello A.</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M.</creator>
        <creator>Traficante E.</creator>
        <creator orcid="0000-0002-6862-7593">Barsocchi P.</creator>
    </creators>
    <publisher>IEEE</publisher>
    <subjects>
        <subject>Passive indoor localization</subject>
        <subject>Crowd sensing</subject>
        <subject>Wi-Fi probe eavesdropping</subject>
        <subject>Network Protocols Applications</subject>
        <subject>Wi-Fi fingerprinting</subject>
        <subject>Data Communications Devices</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/ipin.2016.7743599</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/ipin.2016.7743599</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/322141</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">https://ieeexplore.ieee.org/document/7743599</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/322141&amp;bitstreamId=bfeb4536-ce32-43c2-81b8-6bc07f13c14e</url>
    </urls>
    <dois>
        <doi>10.1109/ipin.2016.7743599</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>While indoor localization techniques based on Wi- Fi RSS measurements have been extensively studied, their application to eavesdropping Wi-Fi probe requests sent from mobile devices in large indoor environments, such as shopping malls, is scarce or absent in the literature. The idea behind this work is to observe Wi-Fi enabled smartphones, especially when they are not associated to a network. They periodically perform active network scanning by issuing probe requests, which are detected by networked sniffing devices produced by Cloud4Wi®. We experimentally investigate the opportunities offered by passive gathering of Wi-Fi probes for purposes of crowd positioning in areas of interest. Our preliminary experimental setting convincingly shows that a small number of sniffing devices may be enough for analysing crowd movements in indoor areas.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:403</infoId>
            <name>Crivello, Antonino</name>
            <orcid>0000-0001-7238-2181</orcid>
            <affiliation code="dnet:pers:403" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1563</infoId>
            <name>Potortì, Francesco</name>
            <orcid>0000-0003-3835-3920</orcid>
            <affiliation code="dnet:pers:1563" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357199</identifier>
    <title>Indoor crowd localization using wi-fi probe sniffers  [Release 1.61]</title>
    <creators>
        <creator orcid="0000-0003-3835-3920">Potortì F.</creator>
        <creator orcid="0000-0001-7238-2181">Crivello A.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Indoor localization</subject>
        <subject>Wi-Fi probes analyzer</subject>
        <subject>Crowd localization</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/324338</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>FogFP compares indoor localization techniques for indoor crowd localization based on Wi-Fi probe sniffing. Inputs to the program are: a database dump containing probe entries, an indoor map, and a list of known devices (MAC address). FogFP implements various algorithms, for computing the estimated position and more algorithms can be easily integrated. The main algorithms implemented are based on fingerprinting on an interpolated regular grid. Output consists of plots and tables for evaluating the performance of localization methods.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:403</infoId>
            <name>Crivello, Antonino</name>
            <orcid>0000-0001-7238-2181</orcid>
            <affiliation code="dnet:pers:403" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1563</infoId>
            <name>Potortì, Francesco</name>
            <orcid>0000-0003-3835-3920</orcid>
            <affiliation code="dnet:pers:1563" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357200</identifier>
    <title>Implementazione di un modulo di comunicazione multipath per sistemi Real-Time</title>
    <creators>
        <creator>Ussi L.</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S.</creator>
        <creator orcid="0000-0002-8134-7844">Gotta A.</creator>
        <creator orcid="0000-0001-6733-1873">Bacco F. M.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Protocolli multipath</subject>
        <subject>MPRTP</subject>
        <subject>gstreamer</subject>
        <subject>UAV</subject>
        <subject>SCTP</subject>
        <subject>TCP</subject>
        <subject>Comunicazione multipath</subject>
        <subject>Computer-Communication Networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::c6f35039ad68810da6853a8fa323bbae</documentPage>
    <urls>
        <url hostedBy="puma.isti.cnr.it" rights="Restricted">http://puma.isti.cnr.it/linkdoc.php?idauth=1&amp;idcol=1&amp;icode=2016-TH-001&amp;authority=cnr.isti&amp;collection=cnr.isti&amp;langver=it</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/357200</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>L'obiettivo di questo tirocinio è l'implementazione di un modulo di comunicazione multipath per il caso d'uso di trasmissione di flussi multimediali in real-time. Si definisce multipath una connessione in grado di sfruttare contemporaneamente piu` canali fisici di comunicazione fra sorgente e destinazione. Il modulo ha l'obiettivo principale di gestire la distribuzione del traffico sui diversi canali tramite un opportuno algoritmo di scheduling. Nella fase iniziale, il lavoro si è concentrato sulla ricerca dei protocolli multipath esistenti, nonchè delle piattaforme software in grado di soddisfare tale requisito. Sono stati dapprima individuati tre protocolli in grado di gestire comunicazioni multipath: . SCTP (Stream Control Transmission Protocol), descritto nel capitolo 1; . MP-TCP (Multipath-TCP), descritto nel capitolo 2; . MP-RTP (Multipath-RTP), descritto nel capitolo 3. Tale studio ha portato, infine, alla scelta del protocollo piu` adatto al caso d'uso proposto, ovvero MPRTP. Nella seconda fase, è stata selezionata la piattaforma software di riferimento, ovvero Gstreamer1, descritta nel capitolo 4.1, per la quale è presente un plugin che implementa il protocollo MPRTP. Su tale plugin - ancora in via di sviluppo - è stato implementato un algoritmo di scheduling che gestisca la distribuzione del traffico multimediale sui flussi multipath, in accordo con le statistiche di ciascun canale.</abstract>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:271</infoId>
            <name>Bacco, Felice Manlio</name>
            <orcid>0000-0001-6733-1873</orcid>
            <affiliation code="dnet:pers:271" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:744</infoId>
            <name>Gotta, Alberto</name>
            <orcid>0000-0002-8134-7844</orcid>
            <affiliation code="dnet:pers:744" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357201</identifier>
    <title>QCRI at SemEval-2016 Task 4: Probabilistic methods for binary and ordinal quantification</title>
    <creators>
        <creator>Da San Martino G</creator>
        <creator>Gao W</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Sentiment classification</subject>
        <subject>ARTIFICIAL INTELLIGENCE. Learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="aclweb.org" rights="Open Access">https://aclweb.org/anthology/S/S16/S16-1006.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324340</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357201/2016_%20357201.published.pdf?id=people______%3A%3Ac22ef48febe13de4cbeb5e60b1b2bbaf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324340/1/prod_357201-doc_116505.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>We describe the systems we have used for participating in Subtasks D (binary quantification) and E (ordinal quantification) of SemEval-2016 Task 4 "Sentiment Analysis in Twitter". The binary quantification system uses a "Probabilistic Classify and Count" (PCC) approach that leverages the calibrated probabilities obtained from the output of an SVM. The ordinal quantification approach uses an ordinal tree of PCC binary quantifiers, where the tree is generated via a splitting criterion that minimizes the ordinal quantification loss.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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    <identifier>oai:it.cnr:prodotti:357202</identifier>
    <title>Where is my next friend? Recommending enjoyable profiles in location based services</title>
    <creators>
        <creator orcid="0000-0002-2827-7613">Guidotti R</creator>
        <creator>Berlingerio M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Data Mining</subject>
        <subject>Mobility and Social Behavior</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="www.springer.com" rights="Open Access">http://www.springer.com/series/7092</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-30569-1_5</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-30569-1_5</url>
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        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324341&amp;bitstreamId=3f5cd534-5afe-4094-a930-c44b474b31b8</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-30569-1_5</url>
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        <doi>10.1007/978-3-319-30569-1_5</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>How many of your friends, with whom you enjoy spending some time, live close by? How many people are at your reach, with whom you could have a nice conversation? We introduce a measure of enjoyability that may be the basis for a new class of location-based services aimed at maximizing the likelihood that two persons, or a group of people, would enjoy spending time together. Our enjoyability takes into account both topic similarity between two users and the users' tendency to connect to people with similar or dissimilar interest. We computed the enjoyability on two datasets of geo-located tweets, and we reasoned on the applicability of the obtained results for producing friend recommendations. We aim at suggesting couples of users which are not friends yet, but which are frequently co-located and maximize our enjoyability measure. By taking into account the spatial dimension, we show how 50% of users may find at least one enjoyable person within 10km of their two most visited locations. Our results are encouraging, and open the way for a new class of recommender systems based on enjoyability.</abstract>
    <source>STUDIES IN COMPUTATIONAL INTELLIGENCE (PRINT), vol. 644, pp. 65-78. Dijion, France, 23-25 March, 2016</source>
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            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
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            <name>Guidotti, Riccardo</name>
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<record>
    <identifier>oai:it.cnr:prodotti:357247</identifier>
    <title>Multidimensional range queries on hierarchical Voronoi overlays</title>
    <creators>
        <creator>Ferrucci L</creator>
        <creator>Ricci L</creator>
        <creator>Baraglia R</creator>
        <creator orcid="0000-0002-1406-828X">Mordacchini M</creator>
        <creator>Albano M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational Theory and Mathematics</subject>
        <subject>Distributed systems</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Range queries</subject>
        <subject>Computer Networks and Communications</subject>
        <subject>Applied Mathematics</subject>
        <subject>Voronoi</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Journal of Computer and System Sciences" rights="Open Access">https://doi.org/10.1016/j.jcss.2016.04.008</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.jcss.2016.04.008</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324386</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0022000016300204</url>
        <url hostedBy="Repositório Científico do Instituto Politécnico do Porto" rights="Closed Access">https://hdl.handle.net/10400.22/8970</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324386/1/prod_357247-doc_116540.pdf</url>
    </urls>
    <dois>
        <doi>10.1016/j.jcss.2016.04.008</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The definition of a support for multi-attribute range queries is mandatory for highly distributed systems. Even if several solutions have been proposed in the last decade, most of them do not meet the requirements of recent platforms, like IoT or smart cities. The paper presents an approach that builds a multidimensional Voronoi graph by exploiting the attributes of the objects published by a node. Our solution overcomes the curse of dimensionality issue affecting Voronoi Tessellations in high dimensional spaces by defining a Voronoi hierarchy. The paper formally defines the structure, analysis the complexity of the operations and presents experimental results.</abstract>
    <source>JOURNAL OF COMPUTER AND SYSTEM SCIENCES, vol. 82 (issue 7), pp. 1161-1179</source>
    <projects/>
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            <name>Baraglia, Ranieri</name>
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        <cnrPerson>
            <infoId>dnet:pers:157</infoId>
            <name>Mordacchini, Matteo</name>
            <orcid>0000-0002-1406-828X</orcid>
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    <identifier>oai:it.cnr:prodotti:357297</identifier>
    <title>Corso di Elementi di Acustica e metodologie di sintesi del suono digitale</title>
    <creators>
        <creator>Tarabella L</creator>
    </creators>
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    <subjects>
        <subject>Computer music; Informatica musicale; H.5.1 Multimedia Information Systems</subject>
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    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
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    <abstract>Elements of Computer Music Technology are given in plain format for students of music who have not a precise background in mathematics, acoustics and computer science. However the very basic ideas concerning the topic are given to allow the students to tackle their music compositional activity with the proper awareness in the terminology and on practical tools available on personal computers.</abstract>
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            <name>Tarabella, Leonello</name>
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    <title>gCube accounting framework. Release 2.1</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
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    <publisher/>
    <subjects>
        <subject>Accounting;  Query; Cloud computing; Grid computing; Virtual research environment; Virtualorganization; gCube; H.2.4 Systems. Query processing</subject>
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    <date>2016</date>
    <language>English</language>
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    <abstract>This framework provide facilities to persist and query accounting data in a distributed infrastructure (grid/cloud). The framework discover dynamically the connector of the NoSQL DB to use to persist accounting data. Moreover it discovers the connection parameters and the credential to use either from local configuration files or from the infrastructure registry. The framework is capable to recognize the different operational context and add this information to accounted data</abstract>
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    <identifier>oai:it.cnr:prodotti:357315</identifier>
    <title>gCube accounting framework. Release 2.2</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Accounting</subject>
        <subject>Query</subject>
        <subject>Cloud computing</subject>
        <subject>Grid computing</subject>
        <subject>Virtual research environment</subject>
        <subject>Virtualor ganization</subject>
        <subject>gCube</subject>
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    <date>2016</date>
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    <abstract>This framework provide facilities to persist and query accounting data in a distributed infrastructure (grid/cloud). The framework discover dynamically the connector of the NoSQL DB to use to persist accounting data. Moreover it discovers the connection parameters and the credential to use either from local configuration files or from the infrastructure registry. The framework is capable to recognize the different operational context and add this information to accounted data.</abstract>
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            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:357325</identifier>
    <title>Going beyond GDP to nowcast Well-Being using retail market data</title>
    <creators>
        <creator orcid="0000-0002-2827-7613">Guidotti R</creator>
        <creator>Coscia M</creator>
        <creator orcid="0000-0003-4801-3225">Pedreschi D</creator>
        <creator>Pennacchioli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Economic sophistication</subject>
        <subject>Shopping behavior</subject>
        <subject>Complex network analysis</subject>
        <subject>Data Mining</subject>
        <subject>Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arpi.unipi.it" rights="Open Access">https://arpi.unipi.it/bitstream/11568/834338/2/netscix2016sophistication.pdf</url>
        <url hostedBy="Lecture Notes in Computer Science" rights="Closed Access">https://doi.org/10.1007/978-3-319-28361-6_3</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-28361-6_3</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324896</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324896&amp;bitstreamId=a5a2cec3-ad72-478f-8ef7-7329cb1e6a50</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-28361-6_3</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-28361-6_3</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>One of the most used measures of the economic health of a nation is the Gross Domestic Product (GDP): the market value of all officially recognized final goods and services produced within a country in a given period of time. GDP, prosperity and well-being of the citizens of a country have been shown to be highly correlated. However, GDP is an imperfect measure in many respects. GDP usually takes a lot of time to be estimated and arguably the well-being of the people is not quantifiable simply by the market value of the products available to them. In this paper we use a quantification of the average sophistication of satisfied needs of a population as an alternative to GDP. We show that this quantification can be calculated more easily than GDP and it is a very promising predictor of the GDP value, anticipating its estimation by six months. The measure is arguably a more multifaceted evaluation of the well-being of the population, as it tells us more about how people are satisfying their needs. Our study is based on a large dataset of retail micro transactions happening across the Italian territory.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:171</infoId>
            <name>Guidotti, Riccardo</name>
            <orcid>0000-0002-2827-7613</orcid>
            <affiliation code="dnet:pers:171" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:847</infoId>
            <name>Pedreschi, Dino</name>
            <orcid>0000-0003-4801-3225</orcid>
            <affiliation code="dnet:pers:847" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:357326</identifier>
    <title>SemEval-2016 Task 4: Sentiment analysis in Twitter</title>
    <creators>
        <creator>Nakov P</creator>
        <creator>Ritter A</creator>
        <creator>Rosenthal S</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
        <creator>Stoyanov V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Sentiment classification</subject>
        <subject>ARTIFICIAL INTELLIGENCE. Learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="aclweb.org" rights="Open Access">https://aclweb.org/anthology/S/S16/S16-1001.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324897</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357326/2016_%20357326.published.pdf?id=people______%3A%3Aea82863bc42cee87af0122ab4d701187</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324897/1/prod_357326-doc_116598.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This paper discusses the fourth year of the "Sentiment Analysis in Twitter Task". SemEval-2016 Task 4 comprises five sub- tasks, three of which represent a significant departure from previous editions. The first two subtasks are reruns from prior years and ask to predict the overall sentiment, and the sentiment towards a topic in a tweet. The three new subtasks focus on two variants of the basic "sentiment classification in Twitter" task. The first variant adopts a five-point scale, which confers an ordinal character to the classification task. The second variant focuses on the correct estimation of the prevalence of each class of interest, a task which has been called quantification in the supervised learning literature. The task continues to be very popular, attracting a total of 43 teams.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357328</identifier>
    <title>Il contributo del CSCE e dell'IEI/CNR di Pisa nell'ambito della cardio-stimolazione (a 50 anni dalla realizzazione del primo pacemaker auto-sincronizzato in Italia)</title>
    <creators>
        <creator>Bertini G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Stimolatri cardiaci autosincronizzanti</subject>
        <subject>LIFE AND MEDICAL SCIENCES</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324899</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357328/2016_357328.pdf?id=people______%3A%3Ae1ef76d3e38b6b314f3cb56bbb395f98</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324899/1/prod_357328-doc_116600.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>La scrittura di questa nota è dovuta ad alcuni motivi concomitanti. Il primo, preminente, si riferisce ad un episodio che risale a 50 anni fa, quello dello sviluppo del primo pacemaker auto-sincronizzante avvenuto esattamente nei mesi febbraio - giugno 1966 presso il CSCE del CNR di Pisa. Nella nota si descrivono alcuni particolari singolari della progettazione e della realizzazione dei primi esemplari (non noti finora) nonché delle versioni successive e del passaggio all'industria per la produzione sistematica del dispositivo (Appendice 1). Un secondo motivo, a testimonianza della buona valutazione delle competenze nella cardio stimolazione a Pisa, è la recente scelta di un centro di cardiologia dell'Ospedale di Cisanello, per la sperimentazione di un tipo di pacemaker di ridottissime dimensioni tali da rendere possibile l'istallazione all'interno del cuore per alcune particolari patologie (Appendice 2). II terzo motivo è la nomina del nuovo presidente del CNR e delle dichiarazione di intenti per le direzioni ipotizzate di indirizzo del nostro Ente. In tale occasione (che si verifica anche in altri casi) si risolleva il (ricorrente) dibattito sul tipo di politica della ricerca cioè: in che proporzione deve essere quella di base rispetto a quella applicata, chi deve farla e come (-enti di ricerca appositi - università - industria, consorzi misti, ecc.) e si potrebbero ricordare molte situazioni che fanno pendere le percentuali di uno dei termini sopra citati rispetto agli altri (Appendice 3). Per come nacque l'attività in campo biomedico nel CSCE e in particolare come si realizzò il nostro pacemaker sembra paradigmatico e collegato al dibattito su citato. Nella premessa ci sembra utile ricordare l'attività precedente e le competenze dei gruppi di ricerca che favorirono questa utile invenzione, nonché un cenno a quella successiva, in specie sviluppata nell'ambito del Progetto Finalizzato Tecnologie Biomediche del CNR. Nella parte finale si cita anche il tentativo fatto nei primi anni '80, di progettare un pacemaker con tecnologia digitale e le difficoltà incontrate per far realizzare la versione integrata.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:93</infoId>
            <name>Bertini, Graziano</name>
            <affiliation code="dnet:pers:93" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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            <code>com_20.500.14243_69</code>
            <name>09 Documentazione tecnica</name>
            <acronym>09 Documentazione tecnica</acronym>
        </inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_105</code>
            <name>09.01 Nota tecnica</name>
            <acronym>09.01 Nota tecnica</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:357348</identifier>
    <title>gCube accounting framework.  [Release 2.3]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator>Pieve A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Accounting</subject>
        <subject>Query</subject>
        <subject>Cloud computing</subject>
        <subject>Grid computing</subject>
        <subject>Virtual research environment</subject>
        <subject>Virtualorganization</subject>
        <subject>gCube</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/317563</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>This framework provide facilities to persist and query accounting data in a distributed infrastructure (grid/cloud). The framework discover dynamically the connector of the NoSQL DB to use to persist accounting data. Moreover it discovers the connection parameters and the credential to use either from local configuration files or from the infrastructure registry. The framework is capable to recognize the different operational context and add this information to accounted data.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:488</infoId>
            <name>Pieve, Alessandro</name>
            <affiliation code="dnet:pers:488" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357350</identifier>
    <title>gCube document store framework [Release 1.2 , 27 July 2016]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator>Pieve A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>NoSQL</subject>
        <subject>Document Store DB</subject>
        <subject>MongoDB</subject>
        <subject>CouchD</subject>
        <subject>CouchBase</subject>
        <subject>gCube</subject>
        <subject>Distributed databases</subject>
        <subject>Reusable Software</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/317565</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Document Store Framework is a set of libraries allowing to store information in NoSQL document store. The data models are discovered at runtime and each document is validated before persisting it. The framework persist the data in NoSQL document store through connectors discovered at runtime. The currently provided connector are for CouchDB, CouchBase and MongoDB. The framework is fault-tolerant as it provides bufferization and fallbacks persistence over filesystem in the case the entitled persistence in not available at any moment. When the persistence is back, the data is retrieved from the filesystem and finally stored where expected. It is explicitly designed for cloud computing though it can also be used for local needs by providing an adequate persistence connector.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:488</infoId>
            <name>Pieve, Alessandro</name>
            <affiliation code="dnet:pers:488" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357351</identifier>
    <title>GiraffPlus middleware for communications in heterogeneous distributed sensor networks</title>
    <creators>
        <creator orcid="0000-0002-4957-828X">Furfari F</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Middleware</subject>
        <subject>Sensor Networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/317566</url>
        <url hostedBy="wnlab.isti.cnr.it" rights="Metadata Only Access">http://wnlab.isti.cnr.it/giraffplus/middleware</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Middleware library for secure and fast communication of heterogeneous sensor networks in distributed environments.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::867bd0d1c4eb429ca2d9bf1b4288068c</openaireId>
            <code>288173</code>
            <name>Combing social interaction and long term monitoring for promoting independent living</name>
            <acronym>GIRAFF+</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:179</infoId>
            <name>Furfari, Francesco</name>
            <orcid>0000-0002-4957-828X</orcid>
            <affiliation code="dnet:pers:179" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <acronym>05 Altro</acronym>
        </inCollection>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357353</identifier>
    <title>GiraffPlus Android middleware for mobile communications in heterogeneous distributed sensor networks</title>
    <creators>
        <creator>Cardaci A</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator orcid="0000-0002-4957-828X">Furfari F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Middleware</subject>
        <subject>Wireless Sensor Networks</subject>
        <subject>Wearable devices</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/317568</url>
        <url hostedBy="wnlab.isti.cnr.it" rights="Metadata Only Access">http://wnlab.isti.cnr.it/giraffplus/android-middleware</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Android OS middleware library for secure and fast mobile communications in heterogeneous wireless sensor networks, including weareable devices.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::867bd0d1c4eb429ca2d9bf1b4288068c</openaireId>
            <code>288173</code>
            <name>Combing social interaction and long term monitoring for promoting independent living</name>
            <acronym>GIRAFF+</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:179</infoId>
            <name>Furfari, Francesco</name>
            <orcid>0000-0002-4957-828X</orcid>
            <affiliation code="dnet:pers:179" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357354</identifier>
    <title>The three dimensions of archaeology</title>
    <creators>
        <creator>Kamermans H</creator>
        <creator>De Neef W</creator>
        <creator>Posluschny A</creator>
        <creator>Piccoli C</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Archaeology</subject>
        <subject>Computing</subject>
        <subject>Visual technologies</subject>
        <subject>3D graphics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/317569</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/317569/1/prod_357354-doc_116611.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This volume brings together presentations from two sessions organized for the XVII World UISPP Conference that was held from 1-7 September 2014 in Burgos (Spain). The sessions are: The scientific value of 3D archaeology, organised by Hans Kamermans, Chiara Piccoli and Roberto Scopigno, and Detecting the Landscape(s) - Remote Sensing Techniques from Research to Heritage Management, organised by Axel Posluschny and Wieke de Neef. The common thread amongst the papers presented here is the application of digital recording techniques to enhance the documentation and analysis of the spatial component intrinsically present in archaeological data. For a long time the capturing of the third dimension, the depth, the height or z-coordinate, was problematic. Traditionally, excavation plans and sections were documented in two dimensions. Objects were also recorded in two dimensions, often from different angles. Remote sensing images like aerial photographs were represented as flat surfaces. Although depth could be visualized with techniques such as stereoscopes, analysis of relief was troublesome. All this changed at the end of the last century with the introduction of computer-based digitization technologies, 3D software, and digital near-surface sampling devices. The spatial properties of the multi-scale archaeological dataset can now be accurately recorded, analysed and presented. Relationships between artefacts can be clarified by visualizing the records in a three-dimensional space, computer-based simulations can be made to test hypotheses on the past use of space, remote sensing techniques help in detecting previously hidden features of landscapes, thus shedding light on bygone land uses.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_90</code>
            <name>04.08 Curatela di Atti di convegno</name>
            <acronym>04.08 Curatela di Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357355</identifier>
    <title>Temporal appearance change detection using multi-view image acquisition</title>
    <creators>
        <creator orcid="0000-0002-1032-2092">Palma G</creator>
        <creator orcid="0000-0002-6374-6657">Banterle F</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Appereance changes</subject>
        <subject>Surface light field</subject>
        <subject>3D reconstruction</subject>
        <subject>Computer graphics applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/317570</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317570&amp;bitstreamId=071bae91-9654-4b0f-b881-7b9a6e61c6ba</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Appearance change detection is a very important task for applications monitoring the degradation process of a surface. This is especially true in Cultural Heritage (CH), where the main goal is to control the preservation condition of an artifact. We propose an automatic solution based on the estimation of an explicit parametric reflectance model that can help the user in the detection of the regions that are affected by appearance changes. The idea is to acquire multi-view photo datasets at different times and to compute the 3D model and the Surface Light Field (SLF) of the object for each acquisition. Then, we compare the SLF in the time using a weighting scheme, which takes account of small lighting variations and small misalignments. The obtained results give several cues on the changed areas. In addition, we believe that these can be used as good starting point for further investigations.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::3b45c0f904dd7bff10530346ed59d3e2</openaireId>
            <code>323567</code>
            <name>Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds</name>
            <acronym>HARVEST4D</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:95</infoId>
            <name>Palma, Gianpaolo</name>
            <orcid>0000-0002-1032-2092</orcid>
            <affiliation code="dnet:pers:95" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357361</identifier>
    <title>gCube document store framework [Release 1.1 , 18 May 2016]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>NoSQL</subject>
        <subject>Document Store DB</subject>
        <subject>MongoDB</subject>
        <subject>CouchDB</subject>
        <subject>CouchBase</subject>
        <subject>gCube</subject>
        <subject>Distributed databases</subject>
        <subject>Reusable Software</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/317576</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Document Store Framework is a set of libraries allowing to store information in NoSQL document store. The data models are discovered at runtime and each document is validated before persisting it. The framework persist the data in NoSQL document store through connectors discovered at runtime. The currently provided connector are for CouchDB, CouchBase and MongoDB. The framework is fault-tolerant as it provides bufferization and fallbacks persistence over filesystem in the case the entitled persistence in not available at any moment. When the persistence is back, the data is retrieved from the filesystem and finally stored where expected. It is explicitly designed for cloud computing though it can also be used for local needs by providing an adequate persistence connector.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357362</identifier>
    <title>gCube smart executor [Release 1.3 , 08 February 2016]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cloud computing</subject>
        <subject>Plugin</subject>
        <subject>Execution</subject>
        <subject>gcube</subject>
        <subject>Job</subject>
        <subject>Task</subject>
        <subject>Cron</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/317577</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Smart Executor is a service which allows to schedule, start, stop, and monitor the execution of tasks. It runs tasks provided as plugins (dynamically discovered). The Smart Executor has been designed to be deployed in a typical cloud-based infrastructure and it offers a SOAP/REST interface and a Java client library.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357363</identifier>
    <title>Near infrared image processing to quantitate and visualize oxygen saturation during vascular occlusion</title>
    <creators>
        <creator orcid="0000-0002-2930-7554">Jalil B.</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O.</creator>
        <creator>Poti L.</creator>
        <creator>Hartwig V.</creator>
        <creator>Marinelli M.</creator>
        <creator>L'Abbate A.</creator>
    </creators>
    <publisher>Elsevier, London ;, Paesi Bassi</publisher>
    <subjects>
        <subject>Segmentation</subject>
        <subject>Computer Science Applications</subject>
        <subject>Region growing</subject>
        <subject>Multiscale analysis</subject>
        <subject>Health Informatics</subject>
        <subject>Software</subject>
        <subject>Edge detection</subject>
        <subject>Near-infrared spectrum</subject>
        <subject>Oxygen saturation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::88b1421f550a54eabe5fda0b8eea407d</documentPage>
    <urls>
        <url hostedBy="Computer Methods and Programs in Biomedicine" rights="Closed Access">https://doi.org/10.1016/j.cmpb.2015.12.001</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.cmpb.2015.12.001</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">http://www.sciencedirect.com/science/article/pii/S0169260715003247</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/357363</url>
    </urls>
    <dois>
        <doi>10.1016/j.cmpb.2015.12.001</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The assessment of microcirculation spatial heterogeneity on the hand skin is the main objective of this work. Near-infrared spectroscopy based 2D imaging is a non-invasive technique for the assessment of tissue oxygenation. The haemoglobin oxygen saturation images were acquired by a dedicated camera (Kent Imaging) during baseline, ischaemia (brachial artery cuff occlusion) and reperfusion. Acquired images underwent a preliminary restoration process aimed at removing degradations occurring during signal capturing. Then, wavelet transform based multiscale analysis was applied to identify edges by detecting local maxima and minima across successive scales. Segmentation of test areas during different conditions was obtained by thresholding-based region growing approach. The method identifies the differences in microcirculatory control of blood flow in different regions of the hand skin. The obtained results demonstrate the potential use of NIRS images for the clinical evaluation of skin disease and microcirculatory dysfunction.</abstract>
    <source>Computer methods and programs in biomedicine (Print) 126 (2016): 35–45. doi:10.1016/j.cmpb.2015.12.001</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1029</infoId>
            <name>Hartwig, Valentina</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:345</infoId>
            <name>Jalil, Bushra</name>
            <orcid>0000-0002-2930-7554</orcid>
            <affiliation code="dnet:pers:345" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:759</infoId>
            <name>L'Abbate, Antonio</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:336</infoId>
            <name>Marinelli, Martina</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357402</identifier>
    <title>DataQ: a data flow quality monitoring system for aggregative data infrastructures</title>
    <creators>
        <creator orcid="0000-0002-5193-7851">Mannocci A</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>K.6.4 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS. System Management</subject>
        <subject>Aggregative data infrastructures</subject>
        <subject>D.2.8 SOFTWARE ENGINEERING. Metrics</subject>
        <subject>Data quality</subject>
        <subject>Monitoring</subject>
        <subject>Data flow</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-43997-6_28</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318036</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007/978-3-319-43997-6_28</url>
        <url hostedBy="OpenAIRE" rights="Open Access">http://puma.isti.cnr.it/rmydownload.php?filename=cnr.isti/cnr.isti/2016-PP-002/2016-PP-002_0.pdf</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-43997-6_28</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318036/1/prod_357402-doc_116644.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318036&amp;bitstreamId=0fa7eab1-c730-4f84-b934-9d3ffd2b6f76</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-43997-6_28</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Aggregative Data Infrastructures (ADIs) are information systems offering services to integrate content collected from data sources so as to form uniform and richer information spaces and support communities of users with enhanced access services to such content. The resulting information spaces are an important asset for the target communities, whose services demand for guarantees on their "correctness" and "quality" over time, in terms of the expected content (structure and semantics) and of the processes generating such content. Application-level continuous monitoring of ADIs becomes therefore crucial to ensure validation of quality. However, ADIs are in most of the cases the result of patchworks of software components and services, in some cases developed independently, built over time to address evolving requirements. As such they are not generally equipped with embedded monitoring components and ADI admins must rely on third-party monitoring systems. In this paper we describe DataQ, a general-purpose system for exible and cost-effective data fow quality monitoring in ADIs. DataQ supports ADI admins with a framework where they can (i) represent ADIs data fows and the relative monitoring specification, and (ii) be instructed on how to meet such specification on the ADI side to implement their monitoring functionality.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::87bf02a8401a8fb75532a443eaa19465</openaireId>
            <code>643410</code>
            <name>Open Access Infrastructure for Research in Europe 2020</name>
            <acronym>OpenAIRE2020</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:321</infoId>
            <name>Mannocci, Andrea</name>
            <orcid>0000-0002-5193-7851</orcid>
            <affiliation code="dnet:pers:321" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>1. Akoka, J., Berti-Equille, L., Boucelma, O., Bouzeghoub, M., Comyn-Wattiau, I., Cosquer, M., Goasdoue-Thion, V., Kedad, Z., Nugier, S., Peralta, V., Sisaid-Cher , S.: A framework for quality evaluation in data integration systems. 9th International Conference on Enterprise Information Systems, ICEIS (2007)</citation>
        <citation>2. Artini, M., Bardi, A., Biagini, F., Debole, F., Bruzzo, S.L., Manghi, P., Mikulicic, M., Savino, P., Zoppi, F.: The creation of the European Film Archive : achieving interoperability and data quality. In: 8th Italian Research Conference on Digital Libraries, IRCDL. pp. 1{12 (2012)</citation>
        <citation>3. Ballou, D.P., Pazer, H.L.: Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems. Management Science 31(2), 150{162 (1985)</citation>
        <citation>4. Ballou, D., Wang, R., Pazer, H., Kumar.Tayi, G.: Modeling information manufacturing systems to determine information product quality. Management Science 44(4), 462{484 (1998)</citation>
        <citation>5. Bardi, A., Manghi, P., Zoppi, F.: Aggregative data infrastructures for the cultural heritage. Communications in Computer and Information Science, CCIS 343 (2012)</citation>
        <citation>6. Batini, C., Barone, D., Cabitza, F., Grega, S.: A Data Quality Methodology for Heterogeneous Data. International Journal of Database Management Systems 3(1), 60{79 (2011)</citation>
        <citation>7. Batini, C., Cappiello, C., Francalanci, C., Maurino, A.: Methodologies for data quality assessment and improvement. ACM Computing Surveys 41(3) (2009)</citation>
        <citation>8. Boufares, F., Ben Salem, A.: Heterogeneous data-integration and data quality: Overview of con icts. 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT pp. 867{874 (2012)</citation>
        <citation>9. Gonzalez, L., Peralta, V., Bouzeghoub, M., Ruggia, R.: Qbox-services: Towards a service-oriented quality platform. In: Lecture Notes in Computer Science. vol. 5833 LNCS, pp. 232{242 (2009)</citation>
        <citation>10. Huh, Y., Keller, F., Redman, T., Watkins, A.: Data quality. Information and Software Technology 32(8), 559{565 (oct 1990)</citation>
        <citation>11. Lemos, F., Bouadjenek, M.R., Bouzeghoub, M., Kedad, Z.: Using the QBox platform to assess quality in data integration systems. Ingenierie des systemes d'information 15(6), 105{124 (2010)</citation>
        <citation>12. Manghi, P., Artini, M., Atzori, C., Bardi, A., Mannocci, A., La Bruzzo, S., Candela, L., Castelli, D., Pagano, P.: The D-NET software toolkit. Program 48(4) (2014)</citation>
        <citation>13. Manghi, P., Bolikowski, L., Manola, N., Schirrwagen, J., Smith, T.: OpenAIREplus: The European scholarly communication data infrastructure. D-Lib Magazine 18(9- 10) (2012)</citation>
        <citation>14. Mannocci, A., Casarosa, V., Manghi, P., Zoppi, F.: The Europeana Network of Ancient Greek and Latin Epigraphy Data Infrastructure. In: Metadata and Semantics Research: 8th Research Conference, MTSR 2014. pp. 286{300 (2014)</citation>
        <citation>15. Marotta, A., Ruggia, R.: Quality Management in Multi-Source Information Systems. Quality (2002)</citation>
        <citation>16. Marotta, A., Ruggia, R.: Managing source quality changes in a data integration system. CEUR Workshop Proceedings 263, 1168{1176 (2006)</citation>
        <citation>17. Missier, P., Preece, A., Embury, S., Jin, B., Greenwood, M., Stead, D., Brown, A.: Managing information quality in e-Science: A case study in proteomics. Lecture Notes in Computer Science 3770, 423{432 (2005)</citation>
        <citation>18. Peralta, V., Ruggia, R., Kedad, Z., Bouzeghoub, M.: A Framework for Data Quality Evaluation in a Data Integration System. In: SBBD. pp. 134{147 (2004)</citation>
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        <citation>20. Redman, T.C.: The Impact of Poor Data Quality on the Typical Enterprise. Communications of the ACM 41(2), 79{82 (1998)</citation>
        <citation>21. Reiter, M., Breitenbucher, U., Dustdar, S., Karastoyanova, D., Leymann, F., Truong, H.L.: A novel framework for monitoring and analyzing quality of data in simulation work ows. In: IEEE 7th International Conference on E-Science. pp. 105{112 (2011)</citation>
        <citation>22. Reiter, M., Breitenbucher, U., Kopp, O., Karastoyanova, D.: Quality of data driven simulation work ows. Journal of Systems Integration 5(1), 3{29 (2014)</citation>
        <citation>23. Scannapieco, M., Missier, P., Batini, C.: Data Quality at a Glance. DatenbankSpektrum 14(January), 6{14 (2005)</citation>
        <citation>24. Shankaranarayanan, G., Wang, R.Y., Ziad, M.: IP-MAP: Representing the Manufacture of an Information Product. Proceedings of the 2000 Conference on Information Quality pp. 1{16 (2000)</citation>
        <citation>25. Strong, D.M., Lee, Y.W., Wang, R.Y.: Data quality in context. Communications of the ACM 40(5), 103{110 (may 1997)</citation>
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    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357413</identifier>
    <title>Analysing and forecasting fisheries time series: purse seine in Indian Ocean as a case study</title>
    <creators>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator>Large S</creator>
        <creator orcid="0000-0002-7975-5320">Magliozzi C</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Aquatic Science</subject>
        <subject>Indian Ocean</subject>
        <subject>Fisheries</subject>
        <subject>Ecology</subject>
        <subject>Oceanography</subject>
        <subject>Purse seine</subject>
        <subject>Singular Spectrum Analysis</subject>
        <subject>Tuna</subject>
        <subject>Behavior and Systematics</subject>
        <subject>Time Series Forecasting</subject>
        <subject>Signal processing</subject>
        <subject>Evolution</subject>
        <subject>Short-Time Fourier Transform</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ICES Journal of Marine Science" rights="Open Access">https://academic.oup.com/icesjms/article-pdf/73/10/2552/31231289/fsw131.pdf</url>
        <url hostedBy="academic.oup.com" rights="Open Access">https://academic.oup.com/icesjms/article/73/10/2552/2647120</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1093/icesjms/fsw131</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318046</url>
        <url hostedBy="ICES Journal of Marine Science" rights="not available">https://doi.org/10.1093/icesjms/fsw131</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318046/2/prod_357413-doc_127123.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318046&amp;bitstreamId=2303d1af-3700-413e-a004-100eb0306f63</url>
    </urls>
    <dois>
        <doi>10.1093/icesjms/fsw131</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Catch and fishing effort time series are used by managers to safeguard the availability of resources in the future. Fisheries organisations estimate the status of a stock and the levels for sustainable harvest. Based on these indicators, regulations are developed to guarantee the availability of food and sustain economic growth. For example, tuna stocks are important not only in terms of nutrition, but also for the welfare, culture, revenue and employment of the countries that rely upon them. However, fisheries time-series are the result of many natural and non-natural factors and are usually difficult to predict. Here, we propose a method to aggregate fisheries time series in space and time, to detect hidden periodicities, to predict the time series in the future and to identify the most stressed locations in the fishing area. We apply our method to tuna fisheries data in the Indian Ocean and compare it with respect to other methods. We demonstrate that the method is able to highlight periodic patterns in this high fishing activity area and to forecast the fisheries time series in the future. We use a research e-Infrastructure to comply with modern approaches supporting reproducibility, repeatability and results sharing.</abstract>
    <source>ICES JOURNAL OF MARINE SCIENCE, vol. 73 (issue 10), pp. 2552-2571</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/675680/EU/Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth/BlueBRIDGE</infoId>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:437</infoId>
            <name>Magliozzi, Chiara</name>
            <orcid>0000-0002-7975-5320</orcid>
            <affiliation code="dnet:pers:437" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>493 Allen, J. (1997), Short term spectral analysis, synthesis, and modification by discrete fourier 494 transform, in 'IEEE Trans. on Acoust., Speech, and Sig. Proc.', Vol. 4, pp. 21-24.</citation>
        <citation>495 Armstrong, J. S. (2001), Principles of forecasting: a handbook for researchers and practi496 tioners, Vol. 30, Springer Science &amp; Business Media.</citation>
        <citation>497 Bianchi, G., Gislason, H., Graham, K., Hill, L., Jin, X., Koranteng, K., Manickchand498 Heileman, S., Paya, I., Sainsbury, K., Sanchez, F. et al. (2000), “Impact of fishing on 499 size composition and diversity of demersal fish communities”, ICES Journal of Marine 500 Science: Journal du Conseil , Vol. 57, Oxford University Press, pp. 558-571.</citation>
        <citation>501 Bryson, A. E., Ho, Y.-C. and Siouris, G. M. (1979), “Applied optimal control: Optimization, 502 estimation, and control”, Systems, Man and Cybernetics, IEEE Transactions on , Vol. 9, 503 IEEE, pp. 366-367.</citation>
        <citation>504 Butterworth, D. S. (2007), “Why a management procedure approach? some positives and 505 negatives”, ICES Journal of Marine Science: Journal du Conseil , Vol. 64, Oxford Uni506 versity Press, pp. 613-617.</citation>
        <citation>507 Candela, L., Castelli, D. and Pagano, P. (2009), D4science: an e-infrastructure for support508 ing virtual research environments., in 'IRCDL', Citeseer, pp. 166-169.</citation>
        <citation>509 Carroll, S. S. and Pearson, D. L. (2000), “Detecting and modeling spatial and temporal 510 dependence in conservation biology”, Conservation Biology , Vol. 14, Wiley Online Li511 brary, pp. 1893-1897.</citation>
        <citation>512 Cheung, G. W. and Rensvold, R. B. (2002), “Evaluating goodness-of-fit indexes for testJournal of Geophysical Research: Oceans , Vol. 105, Wiley Online Library, pp. 11223- 11242.</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357485</identifier>
    <title>A new method combining enhanced resolution and pattern identification</title>
    <creators>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Electrical and Electronic Engineering</subject>
        <subject>Segmentation</subject>
        <subject>Microscopy</subject>
        <subject>Enhanced resolution</subject>
        <subject>Pattern identification</subject>
        <subject>Signal Processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s11760-016-0947-9</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318117</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357485/2016_357485.postprint.pdf?id=people______%3A%3A7d81518e8464679a26d55a82eee3de24</url>
        <url hostedBy="Signal Image and Video Processing" rights="Closed Access">https://doi.org/10.1007/s11760-016-0947-9</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318117/2/prod_357485-doc_166328.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318117&amp;bitstreamId=af76daec-b3f7-46d3-b9fb-2a293f625b47</url>
    </urls>
    <dois>
        <doi>10.1007/s11760-016-0947-9</doi>
        <doi>http://dx.doi.org/10.1007/s11760-016-0947-9</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present a simple and general-purpose method able to combine high-resolution procedure with the classification and identification of objects of interest from microscopy imaging. The method is composed of two stages. First (pattern recognition), promising components (possible objects of interest) in the image are detected and small regions containing the objects of interest are extracted using a feature finder. Second, high-resolution algorithms are applied to such identified components in order to approach a multiple scales of resolution. Although the method is indeed to be applied to any microscopy technique, in this paper, we have focused the attention on biological systems, like animal cells, recorded with an atomic force microscopy.</abstract>
    <source>SIGNAL, IMAGE AND VIDEO PROCESSING (INTERNET), vol. 10 (issue 7), pp. 1303-1310</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357588</identifier>
    <title>DOREMI - Validation and assessment of the recognition/classification models</title>
    <creators>
        <creator>Bacciu D.</creator>
        <creator>Gallicchio C.</creator>
        <creator>Micheli A.</creator>
        <creator>Fortunati L.</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F.</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D.</creator>
        <creator>Kropf J.</creator>
        <creator>Hanke S.</creator>
        <creator>Kreiner K.</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S.</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E.</creator>
        <creator orcid="0000-0002-6862-7593">Barsocchi P.</creator>
        <creator orcid="0000-0003-3835-3920">Potortì F.</creator>
        <creator orcid="0000-0002-4957-828X">Furfari F.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Human activity recognition</subject>
        <subject>Reasoning system</subject>
        <subject>Machine learning</subject>
        <subject>Predictive learning models</subject>
        <subject>Explorative data analysis</subject>
        <subject>Model selection and validation</subject>
        <subject>High-level system architecture</subject>
        <subject>Pilot sites experiments</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/320481</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320481&amp;bitstreamId=004333b7-10fb-4ddb-9cca-2efc3e0d3546</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Deliverable D4.3 describes the process of training, model selection and validation adopted to identify the most adequate setting (and fitting of the parameters) for the activity recognition components developed in WP4 and deployed in the DOREMI pilot phase. A detailed account of the experimental assessment of the expected performances on DOREMI laboratory data collected by task 6.1 (as per DoW) is provided. The deliverable also reports basic aggregated statistics on the data generated by the activity recognition and reasoning components during the DOREMI pilot experimental phases. Finally, it is provided a post-hoc assessment of the unsupervised exploratory data analysis and reasoning components following the UK pilots.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
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    <identifier>oai:it.cnr:prodotti:357589</identifier>
    <title>Empowering mobile crowdsensing through social and ad-hoc networking</title>
    <creators>
        <creator>Corradi A</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
        <creator>Foschini L</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobile Crowd-Sensing</subject>
        <subject>Electrical and Electronic Engineering</subject>
        <subject>Computer Networks and Communication</subject>
        <subject>Computer Science Applications</subject>
        <subject>Computer Science Applications1707 Computer Vision and Pattern Recognition</subject>
        <subject>Ad-Hoc Networking</subject>
        <subject>Computer Networks and Communications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="IEEE Communications Magazine" rights="Open Access">https://cris.unibo.it/bitstream/11585/599348/4/CommMag_cameraReady_Foschini_final.pdf</url>
        <url hostedBy="Archivio istituzionale della ricerca - Alma Mater Studiorum Università di Bologna" rights="Open Access">http://hdl.handle.net/11585/599348</url>
        <url hostedBy="IEEE Communications Magazine" rights="Closed Access">https://doi.org/10.1109/mcom.2016.7509387</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/mcom.2016.7509387</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/320482</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7509387</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320482&amp;bitstreamId=4cd8d882-c809-4517-a779-2cfe8a215003</url>
    </urls>
    <dois>
        <doi>10.1109/mcom.2016.7509387</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Mobile Crowd-Sensing (MCS) enables collective data harvesting actions by coordinating citizens willing to contribute data collected via their sensor-rich smartphones that so represent sources of valuable sensing information in urban environments nowadays. One of the biggest challenges in a real long-running MCS system lies in the capacity not only to attract new volunteers, but also and most importantly, to leverage existing social ties between volunteers to keep them involved so to build long-lasting MCS communities. In addition, the advent of highly-performing devices and ad-hoc communication technologies can help to further amplify the effect of sensing actions in proximity of the volunteer devices. The paper originally describes how to exploit these socio- technical networking aspects to increase the performance of MCS campaigns in the ParticipAct living lab, an ongoing MCS real-world experiment that involved about 170 students of the University of Bologna for more than two years. The paper also reports some significant experimental results to quantify the effectiveness of the proposed techniques.</abstract>
    <source>IEEE COMMUNICATIONS MAGAZINE (PRINT), vol. 54 (issue 7), pp. 108-114</source>
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    <identifier>oai:it.cnr:prodotti:357738</identifier>
    <title>A proposed evolution for the Italian certified electronic mail system</title>
    <creators>
        <creator orcid="0000-0003-1725-9433">Buzzi M</creator>
        <creator orcid="0000-0003-4159-0644">Ferrucci L</creator>
        <creator orcid="0000-0001-6453-0113">Gennai F</creator>
        <creator>Petrucci C</creator>
    </creators>
    <publisher>IEEE</publisher>
    <subjects>
        <subject>Certified Electronic Mail</subject>
        <subject>eGovernment</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
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        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/323324</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7461693/?arnumber=7461693</url>
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    <dois>
        <doi>10.1109/icedeg.2016.7461693</doi>
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    <abstract>One the main objective of the European Commission is to innovate and bring ICT to its full potential in any sector, including eGovernment, eCommerce, and eHealth services. Certified Electronic Mail (CEM) systems of Member States are currently not interoperable, thus impacting on economic growth and competitiveness. The paper investigates the use of the DNSSec technology as a technological evolution of the Italian CEM System and the first step towards interoperability and adherence to international standards.</abstract>
    <source/>
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        <cnrPerson>
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            <name>Buzzi, Marina</name>
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            <infoId>dnet:pers:413</infoId>
            <name>Ferrucci, Luca</name>
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        <citation>[15] --, “Rfc6698 - the dns-based authentication of named entities (dane) transport layer security (tls) protocol: Tlsa,” https://www.ietf.org/rfc/rfc6698.txt, 2012.</citation>
        <citation>[16] D. group, “Using secure dns to associate certificates with domain names for s/mime - draft-ietf-dane-smime-09,” https://tools.ietf.org/html/draftietf-dane-smime-09, 2015.</citation>
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        <citation>[18] --, “Rfc4034 - resource records for the dns security extensions,” https://www.ietf.org/rfc/rfc4034.txt, 2005.</citation>
        <citation>[19] --, “Rfc4035 - protocol modifications for the dns security extensions,” https://www.ietf.org/rfc/rfc4035.txt, 2005.</citation>
        <citation>[20] D. group, “Updates to and operational guidance for the dane protocol - draft-ietf-dane-ops-16,” https://tools.ietf.org/html/draft-ietf-dane-ops-16, 2015.</citation>
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<record>
    <identifier>oai:it.cnr:prodotti:357840</identifier>
    <title>Spacetime computing: towards algorithmic causal sets with special-relativistic properties</title>
    <creators>
        <creator orcid="0000-0003-0854-2587">Bolognesi T</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Lorentzian manifold</subject>
        <subject>Unconventional computing</subject>
        <subject>Emergence</subject>
        <subject>Models of Computation</subject>
        <subject>Pseudo-randomness</subject>
        <subject>Discrete spacetime automata</subject>
        <subject>Causal Set</subject>
        <subject>Quantum gravity</subject>
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    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
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        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-33924-5_12</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325547</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F978-3-319-33924-5_12</url>
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        <doi>10.1007/978-3-319-33924-5_12</doi>
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    <abstract>Spacetime computing is undoubtedly one of the most ambitious and less explored forms of unconventional computing. Totally unconventional is the medium on which the computation is expected to take place - the elusive texture of physical spacetime - and unprecedentedly wide its scope, since the emergent properties of these computations are expected to ultimately reproduce everything we observe in nature. First we discuss the distinguishing features of this peculiar form of unconventional computing, and survey a few pioneering approaches. Then we illustrate some novel ideas and experiments that attempt to establish stronger connections with advances in quantum gravity and the physics of spacetime. We discuss techniques for building algorithmic causal sets - our proposed deterministic counterpart of the stochastic structures adopted in the Causal Set programme for discrete spacetime modeling - and investigate, in particular, the extent to which they can reflect an essential feature of continuous spacetime: Lorentz invariance.</abstract>
    <source>EMERGENCE, COMPLEXITY AND COMPUTATION, pp. 267-304</source>
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    <identifier>oai:it.cnr:prodotti:357841</identifier>
    <title>Let's consider two spherical chickens</title>
    <creators>
        <creator orcid="0000-0003-0854-2587">Bolognesi T</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational Universe Conjecture</subject>
        <subject>Models of Computation</subject>
        <subject>Cellular automata</subject>
        <subject>Knot theory</subject>
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    <contributors/>
    <date>2016</date>
    <language>English</language>
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        <doi>10.1007/978-3-319-27495-9_5</doi>
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    <abstract>Confronted with a pythagorean jingle derived from simple ratios, a sequence of 23 moves from knot theory, and the interaction between a billiard-ball and a zero-gravity field, a young detective soon realizes that three crimes could have been avoided if math were not so unreasonably effective in describing our physical world. Why is this so? Asimov's fictional character Prof. Priss confirms to the detective that there is some truth in Tegmark's Mathematical Universe Hypothesis, and reveals him that all mathematical structures entailing self-aware substructures (SAS) are computable and isomorphic. The boss at the investigation agency is not convinced and proposes his own views on the question.</abstract>
    <source>THE FRONTIERS COLLECTION, pp. 55-66</source>
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    <title>Are you in or out? Monitoring the human behavior through an occupancy strategy</title>
    <creators>
        <creator orcid="0000-0002-6862-7593">Barsocchi P</creator>
        <creator orcid="0000-0001-7238-2181">Crivello A</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
        <creator orcid="0000-0002-6982-242X">Mavilia F</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Smart City</subject>
        <subject>Cloud infrastructure</subject>
        <subject>Human Behavior</subject>
        <subject>Wireless Sensor Networks</subject>
        <subject>Computer-Communication Networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iscc.2016.7543732</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/iscc.2016.7543732</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325549</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7543732/?arnumber=7543732</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325549&amp;bitstreamId=a714eaa2-0744-47dd-8fcb-17b0099a3362</url>
    </urls>
    <dois>
        <doi>10.1109/iscc.2016.7543732</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>IoT and cloud represent the breakthrough for mak- ing concrete the envisioned scenarios for Smart Environments and specifically, those scenarios devoted to the human well-being. Under this respect, we propose a system focused on the quality of the environments where employees work with particular attention to the energy consumption. We describe a long-term monitoring system together with the Stigma algorithm designed to detect the presence or the absence of a worker by exploiting sensing information.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:403</infoId>
            <name>Crivello, Antonino</name>
            <orcid>0000-0001-7238-2181</orcid>
            <affiliation code="dnet:pers:403" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:350</infoId>
            <name>Mavilia, Fabio</name>
            <orcid>0000-0002-6982-242X</orcid>
            <affiliation code="dnet:pers:350" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357843</identifier>
    <title>Using spatial interpolation in the design of a coverage metric for Mobile CrowdSensing systems</title>
    <creators>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
        <creator>Dragone M</creator>
        <creator>Bouroche M</creator>
        <creator>Cahill V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Interpolation</subject>
        <subject>Smart City</subject>
        <subject>Crowdsensing</subject>
        <subject>Coverage</subject>
        <subject>Computer-Communication Networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iscc.2016.7543730</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/iscc.2016.7543730</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325550</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7543730/?arnumber=7543730</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325550&amp;bitstreamId=240d561b-a2f1-4411-b05c-03298f3157e5</url>
        <url hostedBy="researchportal.hw.ac.uk" rights="not available">https://researchportal.hw.ac.uk/en/publications/773fc3ba-0903-4e57-b112-0cdb2df39d40</url>
    </urls>
    <dois>
        <doi>10.1109/iscc.2016.7543730</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Mobile Crowd Sensing (MCS) is an emerging paradigm that exploits the ubiquity of smartphones and cheap sensor devices to collect data and thus contribute to the provision of useful services, especially in the domains of urban life. While many MCS implementations have been proposed for different applications, the lack of common performance metrics means that their efficiency cannot be easily compared. In this paper, we formalize a generic coverage model for the class of MCS systems sampling spatial phenomena before introducing a way to produce one such a metric by exploiting a spatio- temporal estimator. We avail of a large-scale dataset of users' mobility traces to demonstrate the use of the newly introduced metric in informing the resolution of a typical problem in MCS system design.</abstract>
    <source>PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS, pp. 147-152. Messina, Italy, 27-30 June 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357844</identifier>
    <title>Signals from the depths: properties of percolation strategies with the Argo dataset</title>
    <creators>
        <creator>Di Rienzo F</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
        <creator>Paparella F</creator>
        <creator>Caruso A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>UASN</subject>
        <subject>modems</subject>
        <subject>wireless sensor networks</subject>
        <subject>underwater communications</subject>
        <subject>Argo dataset</subject>
        <subject>PROPHET routing</subject>
        <subject>Mobile communication</subject>
        <subject>percolation strategies</subject>
        <subject>Temporal Network</subject>
        <subject>free-drifting floats</subject>
        <subject>percolation</subject>
        <subject>Argo project</subject>
        <subject>opportunistic routing</subject>
        <subject>epidemic routing</subject>
        <subject>network degree</subject>
        <subject>direct delivery routing</subject>
        <subject>Mediterranean Sea</subject>
        <subject>underwater acoustic sensor networks</subject>
        <subject>acoustic modems</subject>
        <subject>network routing</subject>
        <subject>Computer-Communication NetworksATION NETWORKS</subject>
        <subject>Underwater Sensor Networks</subject>
        <subject>mobility dataset</subject>
        <subject>network reliability</subject>
        <subject>underwater acoustic communication</subject>
        <subject>Opportunistic Routing Protocols</subject>
        <subject>intercontact time</subject>
        <subject>Temporal Networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iscc.2016.7543768</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/iscc.2016.7543768</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325551</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7543768/?arnumber=7543768</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325551&amp;bitstreamId=3bf21a85-264c-4ff2-8583-2fe77370e300</url>
    </urls>
    <dois>
        <doi>10.1109/iscc.2016.7543768</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Underwater communications through acoustic modems rise several networking challenges for the Underwater Acoustic Sensor Networks (UASN). In particular, opportunistic routing is a novel but promising technique that can remarkably increase the reliability of the UASN, but its use in this context requires studies on the nature of mobility in UASN. Our goal is to study a real-world mobility dataset obtained from the Argo project. In particular, we observe the mobility of 51 free-drifting floats deployed on the Mediterranean Sea for approximately one year and we analyze some important properties of the underwater network we built. Specifically, we analyze the contact-time, inter- contact time as well density and network degree while varying the connectivity degree of the whole dataset. We then consider three known routing algorithms, namely Epidemic, PROPHET and Direct Delivery, with the goal of measuring their performance in real conditions for USAN. We finally discuss the opportunities arising from the adoption of opportunistic routing in UASN showing that, even in a very sparse and strongly disconnected network, it is still possible to build a limited but working networking framework.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357845</identifier>
    <title>Online optimization methods for the quantification problem</title>
    <creators>
        <creator>Kar P</creator>
        <creator>Li S</creator>
        <creator>Narasimhan H</creator>
        <creator>Chawla S</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F</creator>
    </creators>
    <publisher>ACM Press</publisher>
    <subjects>
        <subject>Computer Science - Machine Learning</subject>
        <subject>Machine Learning (stat.ML)</subject>
        <subject>Information Retrieval (cs.IR)</subject>
        <subject>Statistics - Machine Learning</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Computer Science - Information Retrieval</subject>
        <subject>Quantification</subject>
        <subject>Artificial Intelligence (cs.AI)</subject>
        <subject>Online learning</subject>
        <subject>Machine Learning (cs.LG)</subject>
        <subject>Computer Science - Artificial Intelligence</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1605.04135</url>
        <url hostedBy="arxiv.org" rights="Open Access">http://arxiv.org/pdf/1605.04135</url>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?doid=2939672.2939832</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2939672.2939832</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325552</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357845/2016_357845.preprint.pdf?id=people______%3A%3Abd0655b23f372adba96d1c34b7b5bb72</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2939672.2939832</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1605.04135</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325552/2/prod_357845-doc_156969.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325552&amp;bitstreamId=3b99df4b-e872-4def-98a4-aa23a0261525</url>
    </urls>
    <dois>
        <doi>10.1145/2939672.2939832</doi>
        <doi>10.48550/arxiv.1605.04135</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The estimation of class prevalence, i.e., of the fraction of a population that belongs to a certain class, is an important task in data analytics, and finds applications in many domains such as the social sciences, market research, epidemiology, and others. For example, in sentiment analysis the goal is often not to estimate whether a specific text conveys a positive or a negative sentiment, but rather to estimate the overall distribution of positive and negative sentiments, e.g., in a certain time frame. A popular way of performing the above task, often dubbed quantification, is to use supervised learning in order to train a prevalence estimator from labeled data. In the literature there are several performance metrics for measuring the success of such prevalence estimators. In this paper we propose the first online stochastic algorithms for directly optimizing these quantification-specific performance measures. We also provide algorithms that optimize hybrid performance measures that seek to balance quantification and classification performance. Our algorithms present a significant advancement in the theory of multivariate optimization; we show, via a rigorous theoretical analysis, that they exhibit optimal convergence. We also report extensive experiments on benchmark and real data sets which demonstrate that our methods significantly outperform existing optimization techniques used for these performance measures.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1145/2939672.2939832" url="https://dx.doi.org/10.1145/2939672.2939832">Online Optimization Methods for the Quantification Problem</dataset>
    </datasets>
    <citations>
        <citation>[1] Roc´ıo Ala´ız-Rodr´ıguez, Alicia Guerrero-Curieses, and Jesu´s Cid-Sueiro. Class and subclass probability reestimation to adapt a classifier in the presence of concept drift. Neurocomputing, 74(16):2614-2623, 2011. 4More formally, we consider a setting where both the train and test sets are generated using the same conditional class distribution P(Y = 1 jX), but with different marginal distributions over instances P(X), and thus, have different class proportions. Further, in these experiments, we made a simplistic assumption that there is no label noise; hence for any instance x, P(Y = 1 j X = x) = 1 or 0. Thus, we generated our test set with class proportion p0 by simply setting P(X = x) to the following distribution: with probability p0, sample a point uniformly from all points with P(Y = 1 j X = x) = 1, and with probability 1 p0, sample a point uniformly from all points with P(Y = 1 j X = x) = 0.</citation>
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        <citation>P(wt). Then we have, by Claim 9 However, if vt &gt; P , we are setting an unrealizable value of vt. Using Lemma 11 part 3 gives us et &lt; 0 which, upon using part 5 of the lemma gives us In this case, we have V (wt+1; vt) = et t &lt; 0 since et &lt; 0 and t &gt; 0. Thus, using Lemma 11 part 7 gives us</citation>
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<record>
    <identifier>oai:it.cnr:prodotti:357864</identifier>
    <title>Simple indicators for Lorentzian causets</title>
    <creators>
        <creator orcid="0000-0003-0854-2587">Bolognesi T</creator>
        <creator>Lamb A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>General Relativity and Quantum Cosmology</subject>
        <subject>Physics and Astronomy (miscellaneous)</subject>
        <subject>Lorentzian manifold</subject>
        <subject>Graph Theory</subject>
        <subject>Emergence</subject>
        <subject>Pseudo-randomness</subject>
        <subject>Discrete spacetime automata</subject>
        <subject>FOS: Physical sciences</subject>
        <subject>Causal set</subject>
        <subject>Quantum gravity</subject>
        <subject>General Relativity and Quantum Cosmology (gr-qc)</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1407.1649</url>
        <url hostedBy="Classical and Quantum Gravity" rights="Open Access">http://arxiv.org/pdf/1407.1649</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1088/0264-9381/33/18/185004</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325571</url>
        <url hostedBy="iopscience.iop.org" rights="Open Access">http://iopscience.iop.org/0264-9381/33/18/185004</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357864/2016_357864.preprint.pdf?id=people______%3A%3Ae7a5ea00794058c2aef63c0ba99a158c</url>
        <url hostedBy="Classical and Quantum Gravity" rights="Closed Access">https://doi.org/10.1088/0264-9381/33/18/185004</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1407.1649</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325571/2/prod_357864-doc_156971.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325571&amp;bitstreamId=65273d18-6e61-42ba-91f2-30a54b412121</url>
    </urls>
    <dois>
        <doi>10.1088/0264-9381/33/18/185004</doi>
        <doi>10.48550/arxiv.1407.1649</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Several classes of directed acyclic graphs have been investigated in the last two decades, in the context of the causal set program, in search for good discrete models of spacetime. We introduce some statistical indicators that can be used for comparing these graphs and for assessing their closeness to the ideal Lorentzian causal sets ('causets') - those obtained by sprinkling points in a Lorentzian manifold. In particular, with the reversed triangular inequality of Special Relativity in mind, we introduce 'longest/shortest path plots',an easily implemented tool to visually detect the extent to which a generic causet matches the wide range of path lengths between events of Lorentzian causets. This tool can attribute some degree of 'Lorentzianity' - in particular 'non-locality' - also to causets that are not (directly) embeddable and that, due to some regularity in their structure, would not pass the key test for Lorentz invariance: the absence of preferred reference frames. We compare the discussed indicators and use them for assessing causets both of stochastic and of deterministic, algorithmic origin, finding examples of the latter that behave optimally w.r.t. our longest/shortest path plots.</abstract>
    <source>CLASSICAL AND QUANTUM GRAVITY, vol. 33 (issue 8)</source>
    <projects/>
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            <infoId>dnet:pers:1242</infoId>
            <name>Bolognesi, Tommaso</name>
            <orcid>0000-0003-0854-2587</orcid>
            <affiliation code="dnet:pers:1242" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
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    <citations>
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    </citations>
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<record>
    <identifier>oai:it.cnr:prodotti:357866</identifier>
    <title>Rate-distortion function for alpha-stable sources</title>
    <creators>
        <creator orcid="0000-0002-2608-8034">Kuruoglu Ee</creator>
        <creator>Wang J</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>alpha-Stable distribution</subject>
        <subject>Impulsive data compression</subject>
        <subject>Electrical and Electronic Engineering</subject>
        <subject>Impulsive source coding</subject>
        <subject>Blahut-Arimoto algorithm</subject>
        <subject>Rate-distortion function</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.aeue.2016.04.011</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325573</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357866/2016_357866.preprint.pdf?id=people______%3A%3Abab0ef21e113819d83b72411f3245854</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S1434841116301352</url>
        <url hostedBy="AEU - International Journal of Electronics and Communications" rights="Closed Access">https://doi.org/10.1016/j.aeue.2016.04.011</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325573/2/prod_357866-doc_181208.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325573&amp;bitstreamId=65dfa52e-3e4c-4725-9b92-485644333b33</url>
    </urls>
    <dois>
        <doi>10.1016/j.aeue.2016.04.011</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper, we develop a numerical approximation based on the Blahut Arimoto algorithm to the rate distortion function of sources with alpha-stable distribution both for the symmetric and the skewed cases. The calculated rate-distortion function provides bounds for lossy source coding/data compression and the achievable rates for a given distortion.</abstract>
    <source>AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, vol. 70 (issue 7), pp. 974-978</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1539</infoId>
            <name>Kuruoglu, Ercan</name>
            <orcid>0000-0002-2608-8034</orcid>
            <affiliation code="dnet:pers:1539" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:357867</identifier>
    <title>Collaborative task modelling on the web</title>
    <creators>
        <creator orcid="0000-0003-1029-9934">Manca M</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F</creator>
        <creator orcid="0000-0002-0556-7538">Santoro C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Responsive web</subject>
        <subject>[INFO]Computer Science [cs]</subject>
        <subject>Collaborative modelling</subject>
        <subject>User Interfaces</subject>
        <subject>User interfaces</subject>
        <subject>Task models</subject>
        <subject>Responsive Web</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-44902-9_20</url>
        <url hostedBy="hal.inria.fr" rights="Open Access">https://hal.inria.fr/hal-01647700/file/430524_1_En_20_Chapter.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325574</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007/978-3-319-44902-9_20</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357867/2016_357867.postprint.pdf?id=people______%3A%3A3ef2acfd246aaf2e2de26521e43267db</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-44902-9_20</url>
        <url hostedBy="Hyper Article en Ligne" rights="not available">https://hal.inria.fr/hal-01647700</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325574/2/prod_357867-doc_162726.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325574&amp;bitstreamId=41f01b0f-8c72-4bf1-889e-88abb306cb44</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-44902-9_20</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Task modelling is a widely recognized activity when designing interactive applications. In this perspective, it is the meeting point between various stakeholders. However, most of the automatic environments that currently allow task modelling only support single users, thus limiting the possible interactions and discussions amongst them. In this paper we present Collaborative CTT, a new Web-based multi-user tool for specifying task models. The tool allows several users, who may even be physically separated, to work on the same model at the same or different time. Among its features, the tool includes mechanisms specific for this type of HCI modelling in order to support coordination, communication and mutual awareness among participants. We discuss the aspects we have addressed in designing the task modelling tool, its main collaborative features, and also report on user feedback gathered through formative tests.</abstract>
    <source>LECTURE NOTES IN COMPUTER SCIENCE, vol. 9856, pp. 317-334. Stockholm, Sweden, 29-31/08/2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:154</infoId>
            <name>Manca, Marco</name>
            <orcid>0000-0003-1029-9934</orcid>
            <affiliation code="dnet:pers:154" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1381</infoId>
            <name>Santoro, Carmelina</name>
            <orcid>0000-0002-0556-7538</orcid>
            <affiliation code="dnet:pers:1381" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:357868</identifier>
    <title>The challenge of brain complexity - A brief discussion about a fractal intermittency-based approach</title>
    <creators>
        <creator orcid="0000-0002-1036-4583">Paradisi P</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0002-1300-3900">Barcaro U</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Threshold analysis</subject>
        <subject>Electroencephalogram</subject>
        <subject>Life and medical sciences</subject>
        <subject>Complex Systems</subject>
        <subject>Pattern recognition</subject>
        <subject>Complex systems</subject>
        <subject>Special-purpose and application-based systems</subject>
        <subject>Pattern Recognition</subject>
        <subject>Biomedical Signal Processing</subject>
        <subject>Fractal Intermittency</subject>
        <subject>Fractal intermittency</subject>
        <subject>Brain events</subject>
        <subject>Brain Events</subject>
        <subject>Threshold Analysis</subject>
        <subject>Operating systems performance</subject>
        <subject>Biomedical signal processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="bird.bcamath.org" rights="Open Access">https://bird.bcamath.org/bitstream/20.500.11824/319/1/paradisi_proceedPHYCS2016.pdf</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5220/0005998601230129</url>
        <url hostedBy="Recolector de Ciencia Abierta, RECOLECTA" rights="Open Access">http://hdl.handle.net/20.500.11824/319</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325575</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357868/2016_357868.published.pdf?id=people______%3A%3A8cfbbb85247b086702496a7b7a92207e</url>
        <url hostedBy="www.phycs.org" rights="Open Access">http://www.phycs.org/Abstracts/2016/PhyCS_2016_Abstracts.htm</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.5220/0005998601230129</url>
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    <dois>
        <doi>10.5220/0005998601230129</doi>
    </dois>
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    <abstract>In the last years, the complexity paradigm is gaining momentum in many research fields where large multidimensional datasets are made available by the advancements in instrumental technology. A complex system is a multi-component system with a large number of units characterized by cooperative behavior and, consequently, emergence of well-defined self-organized structures, such as communities in a complex network. The self-organizing behavior of the brain neural network is probably the most important prototype of complexity and is studied by means of physiological signals such as the ElectroEncephaloGram (EEG). Physiological signals are typically intermittent, i.e., display non-smooth rapid variations or crucial events (e.g., cusps or abrupt jumps) that occur randomly in time, or whose frequency changes randomly. In this work, we introduce a complexity-based approach to the analysis and modeling of physiological data that is focused on the characterization of intermittent events. Recent findings about self-similar or fractal intermittency in human EEG are reviewed. The definition of brain event is a crucial aspect of this approach that is discussed in the last part of the paper, where we also propose and discuss a first version of a general-purpose event detection algorithm for EEG signals.</abstract>
    <source/>
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        <cnrPerson>
            <infoId>dnet:pers:454</infoId>
            <name>Barcaro, Umberto</name>
            <orcid>0000-0002-1300-3900</orcid>
            <affiliation code="dnet:pers:454" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1528</infoId>
            <name>Paradisi, Paolo</name>
            <orcid>0000-0002-1036-4583</orcid>
            <affiliation code="dnet:pers:1528" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357871</identifier>
    <title>Complexity measures based on intermittent events in brain EEG data</title>
    <creators>
        <creator orcid="0000-0002-1036-4583">Paradisi P</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator>Carbonicini M C</creator>
        <creator>Virgillito A</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Signal processing</subject>
        <subject>Complexity</subject>
        <subject>Fractal intermittency</subject>
        <subject>Brain</subject>
        <subject>Electroencephalogram (EEG)</subject>
        <subject>Disorders of consciousness</subject>
        <subject>Special-purpose and application-based systems</subject>
        <subject>Pattern recognition applications</subject>
        <subject>Software engineering metrics</subject>
        <subject>Operating systems performance</subject>
        <subject>Life and medical sciences</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325578</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357871/2016_357871.postprint.pdf?id=people______%3A%3Aa2d447922b7d4a3f827384e8d32f00b7</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325578/2/prod_357871-doc_181209.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325578&amp;bitstreamId=f3ffd416-cb50-444c-8881-3cbbf931614d</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this work we discuss the application of the complexity approach to the study of physiological signals. In particular, a theoretical framework based on the ubiquitous emergence of fractal intermittency in complex signals is introduced. This approach is based on the ability of complex systems' cooperative micro-dynamics of triggering metastable, macroscopic, self-organized states. The metastability is strictly connected with the emergence of a intermittent point process displaying anomalous non-Poisson statistics and driving the fast transition events between successive metastable states. As a consequence, the estimation of features related to intermittent events can be used to characterize the ability of the complex system to trigger self-organized structures. We introduce an algorithm for the processing of complex signals that is based on the fractal intermittency paradigm, thus focusing on the detection and scaling analysis of intermittent events in human ElectroEncephaloGram (EEG). We finally discuss the application of this approach to real EEG recordings and introduce the preliminary findings.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1528</infoId>
            <name>Paradisi, Paolo</name>
            <orcid>0000-0002-1036-4583</orcid>
            <affiliation code="dnet:pers:1528" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357875</identifier>
    <title>ARIADNE visual media service: easy Web publishing of advanced visual media</title>
    <creators>
        <creator orcid="0000-0002-2974-0577">Ponchio F</creator>
        <creator orcid="0000-0003-4644-4638">Potenziani M</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Visual media</subject>
        <subject>Web publishing and visualization</subject>
        <subject>WebGL</subject>
        <subject>HTML</subject>
        <subject>3D models</subject>
        <subject>Computer graphics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="archaeopress.com" rights="Open Access">http://archaeopress.com/ArchaeopressShop/Public/defaultAll.asp?OpenAccess=Y&amp;intro=true</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325582</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325582/1/prod_357875-doc_116937.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This paper describes the design and development of a service for 'visual media' files. In the first phase of the ARIADNE project we reviewed the status of visual media resources (2D, RTI, 3D) in the archaeology domain, but there was possibility of publishing visual media resources on the web. To fill this gap we have designed a service aimed at providing easy and unsupervised publication on the web. The service provides a very easy interface (a simple web form) that allows the user to upload the visual media file; the data is then transformed in a web-compliant format, supporting multi-resolution encoding, compression, and progressive transmission. At the end of the data-processing phase the user receives an email containing the URL of the published asset (or, in case he/she wants to store the file locally, a .zip file). Specific browsers for the three types of media have also been developed, based on 3DHOP technology.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:870</infoId>
            <name>Ponchio, Federico</name>
            <orcid>0000-0002-2974-0577</orcid>
            <affiliation code="dnet:pers:870" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:328</infoId>
            <name>Potenziani, Marco</name>
            <orcid>0000-0003-4644-4638</orcid>
            <affiliation code="dnet:pers:328" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357876</identifier>
    <title>3D chromatin structure estimation through a constraint-enhanced score function</title>
    <creators>
        <creator orcid="0000-0002-1590-7890">Caudai C</creator>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
        <creator orcid="0000-0003-4590-0718">Zoppè M</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational Biology</subject>
        <subject>Chromatin Structure</subject>
        <subject>Quaternions</subject>
        <subject>Life and medical sciences</subject>
        <subject>Biology and Genetics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325583</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357876/2016_357876.pdf?id=people______%3A%3Aa3fbdbcd6f3a624f894b49662476a783</url>
        <url hostedBy="puma.isti.cnr.it" rights="Open Access">http://puma.isti.cnr.it/linkdoc.php?idauth=1&amp;idcol=1&amp;icode=2016-B4-003&amp;authority=cnr.isti&amp;collection=cnr.isti&amp;langver=it</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325583/1/prod_357876-doc_116938.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Based on experimental techniques of the type "Chromosome Conformation Capture" (3C), several methods have been proposed in the literature to estimate the structure of the nuclear DNA in homogeneous populations of cells. Many of these methods transform contact frequencies into Euclidean distances between pairs of chromatin fragments, and then reconstruct the structure by solving a distance-to-geometry problem. To avoid the drawbacks of this strategy, we propose to abandon the frequency-distance translation and adopt a recursive multiscale procedure, where the chromatin fibre is modelled by a new kind of modified bead chain, the data are suitably partitioned at each scale, and the resulting partial structures are estimated independently of each other and then connected again to rebuild the whole chain. We propose a new score function to generate the solution space: it includes a data-fit part that does not require target distances, and a penalty part, which enforces "soft" geometric constraints on the solution, coherent with known physical and biological constraints. The relative weights of the two parts are balanced automatically at each scale and each subchain treated. Since it is reasonable to expect that many different structures fit any 3C-type data set, we sample the solution space by simulated annealing, with no search for an absolute optimum. A set of different solutions with similar scores is thus generated. The procedure can be managed through a minimum set of parameters, independent of both the scale and the particular genomic segment being treated. The user is thus allowed to control the solutions easily and effectively. The partition of the fibre, along with several intrinsically parallel parts, make this method computationally efficient. We report some results obtained with the new method and code, tested against real data, that support the reliability of our method and the biological plausibility of our solutions.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:246</infoId>
            <name>Caudai, Claudia</name>
            <orcid>0000-0002-1590-7890</orcid>
            <affiliation code="dnet:pers:246" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
            <orcid>0000-0001-6970-4725</orcid>
            <affiliation code="dnet:pers:691" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_69</code>
            <name>09 Documentazione tecnica</name>
            <acronym>09 Documentazione tecnica</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_105</code>
            <name>09.01 Nota tecnica</name>
            <acronym>09.01 Nota tecnica</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357878</identifier>
    <title>SatNEx IV - CoO1 Part2 WI1 Technical Report 1, "Multi-homed network architectures for flying ad-hoc networks (FANETs) and nano-satellite swarms"</title>
    <creators>
        <creator>Davoli F</creator>
        <creator>Marchese M</creator>
        <creator>Patrone F</creator>
        <creator orcid="0000-0001-6733-1873">Bacco M</creator>
        <creator>Colucci M</creator>
        <creator orcid="0000-0002-8134-7844">Gotta A</creator>
        <creator>Panagopoulos A D</creator>
        <creator>Kourogiorgas C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Nanosatellite</subject>
        <subject>Drones</subject>
        <subject>FANET</subject>
        <subject>M2M</subject>
        <subject>ns-3</subject>
        <subject>Computer-communication networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325585</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325585&amp;bitstreamId=7404e232-1eda-4e16-9d48-09a8cfd84406</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Survey of the State of the Art and identification of scenarios about: - Literature on existing solutions (if any) enabling data transmissions from FANETs to the space segment, including antennas and air interfaces (physical layer) for FANETs and Nanosatellites, and accurate channel model synthesizers at various frequency bands. - Identification of challenges related to MAC, transport, and application layer design, also concerning M2M scenarios. - Nanosatellite types that can be used to implement a satellite swarm for communication purposes. The aim of this study is to find the best set of satellite hardware characteristics, of satellite swarm parameters (such as satellite number, altitude, inclination, ...), and of network design parameters (such as node buffer size, overall cost, network lifetime, guaranteed performance level, ...) necessary to create a DTN/Nanosatellite network able to extend Internet connectivity to a given number of rural areas. - Identification and classification of application-driven requirements in terms of bandwidth and of QoS constraints, having in mind disaster relief and public safety as possible reference applications.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:271</infoId>
            <name>Bacco, Felice Manlio</name>
            <orcid>0000-0001-6733-1873</orcid>
            <affiliation code="dnet:pers:271" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:483</infoId>
            <name>Colucci, Marco</name>
            <affiliation code="dnet:pers:483" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:744</infoId>
            <name>Gotta, Alberto</name>
            <orcid>0000-0002-8134-7844</orcid>
            <affiliation code="dnet:pers:744" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357879</identifier>
    <title>SatNEx IV - CoO1 Part2 WI1 D1 Mid Term Report, "Multi-homed network architectures for flying ad-hoc networks (FANETs) and nano-satellite swarms"</title>
    <creators>
        <creator>Davoli F</creator>
        <creator>Marchese M</creator>
        <creator>Patrone F</creator>
        <creator orcid="0000-0001-6733-1873">Bacco M</creator>
        <creator>Colucci M</creator>
        <creator orcid="0000-0002-8134-7844">Gotta A</creator>
        <creator>Panagopoulos Ad</creator>
        <creator>Kourogiorgas C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Nanosatellite</subject>
        <subject>Drones</subject>
        <subject>FANET</subject>
        <subject>M2M</subject>
        <subject>ns-3</subject>
        <subject>Computer-communication networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325586</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325586&amp;bitstreamId=357f52d5-1617-4104-a752-c5e31d88527e</url>
        <url hostedBy="puma.isti.cnr.it" rights="Restricted">http://puma.isti.cnr.it/linkdoc.php?idauth=1&amp;idcol=1&amp;icode=2016-PR-005&amp;authority=cnr.isti&amp;collection=cnr.isti&amp;langver=it</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This report contains a survey of the State of the Art about Flying Ad-hoc Networks (FANETs) and Nanosatellite swarms. Section 1 contains a description of the state of the art about Nanosatellites (hardware characteristics and costs) and Nanosatellite constellations (orbital parameters, different type of constellations, intersatellite links). Section 2 aims to introduce network architectures for FANETs identified in literature. Also a brief overview of software-defined networking is presented with the goal to figure out whether or not in some research studies SDN has already been applied in wireless/mobile networks. Finally, Section 3 briefly presents channel modeling due to local environment effects that may be applied for both Nanosatellite and UAV links taking into account the proper modifications and the used frequency bands.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:271</infoId>
            <name>Bacco, Felice Manlio</name>
            <orcid>0000-0001-6733-1873</orcid>
            <affiliation code="dnet:pers:271" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:483</infoId>
            <name>Colucci, Marco</name>
            <affiliation code="dnet:pers:483" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:744</infoId>
            <name>Gotta, Alberto</name>
            <orcid>0000-0002-8134-7844</orcid>
            <affiliation code="dnet:pers:744" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357882</identifier>
    <title>Joint modeling of arrival process and length distribution of queries in Web search engines</title>
    <creators>
        <creator orcid="0000-0002-3704-4133">Cassarà P.</creator>
        <creator>Colucci M.</creator>
        <creator orcid="0000-0002-8134-7844">Gotta A.</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Web search engine</subject>
        <subject>Batch arrival process</subject>
        <subject>Kernel-based probability distribution models</subject>
        <subject>Generalized cross entropy</subject>
        <subject>Computer-communication networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::dcb49c4cf71e036f0e5dc4b58df3e139</documentPage>
    <urls>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/357882</url>
    </urls>
    <dois/>
    <bestRights>Unknown</bestRights>
    <abstract>This paper proposes a novel fitting procedure via non-parametric kernel- based models of the probability mass function of a discrete arrival process, derived from real traffic traces of queries to a Web search engine. Most of the adopted estimation techniques for probability mass functions are based on parameter estimations for a given family of probability distri- bution functions. Conversely, the proposed procedure, jointly with a kernel-based model of the probability distribution function, doesn't need any assumptions about membership to a families of distributions, or about parameters. The fitting procedure based on the Generalized Cross-Entropy resolves a Quadratic Programming Problem. Furthermore, the estimated probability mass function can be expressed in a closed form, as a weighted sum of kernel functions. We also examine the performance of the proposed procedure via numer- ical experiments and present an example of traffic analysis with real data traffic. Results show that our estimation of the probability mass function, closely matches the empirical probability mass function. Precisely, through the procedure, both temporal and statistical characteristics, such as auto- correlation, long-range dependence, and skewness, can be well approximated.</abstract>
    <source>ISTI Technical reports, 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:322</infoId>
            <name>Cassarà, Pietro</name>
            <orcid>0000-0002-3704-4133</orcid>
            <affiliation code="dnet:pers:322" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:483</infoId>
            <name>Colucci, Marco</name>
            <affiliation code="dnet:pers:483" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:744</infoId>
            <name>Gotta, Alberto</name>
            <orcid>0000-0002-8134-7844</orcid>
            <affiliation code="dnet:pers:744" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:591</infoId>
            <name>Tonellotto, Nicola</name>
            <orcid>0000-0002-7427-1001</orcid>
            <affiliation code="dnet:pers:591" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357984</identifier>
    <title>Localization system for medium/small spaces</title>
    <creators>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator>Benassi A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Local position system</subject>
        <subject>Token ring</subject>
        <subject>Ultra-sound</subject>
        <subject>Radio wave</subject>
        <subject>Robot</subject>
        <subject>Location</subject>
        <subject>Localization</subject>
        <subject>Special-purpose and application-based systems</subject>
        <subject>Pattern recognition applications</subject>
        <subject>Robotics</subject>
        <subject>Local and wide-area networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318207</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318207&amp;bitstreamId=8805e796-dc3d-4fe3-a819-5c797e197a4b</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The prototype, by means of various hardware devices and embedded software components, implements a localization system suitable for medium/small environments. During the development of this "Local Position System", special attention was paid to the choice of components, especially those that were battery powered, in order to optimize energy consumption. In addition, all the components were selected because they were easily available.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:147</infoId>
            <name>Benassi, Antonio</name>
            <affiliation code="dnet:pers:147" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357985</identifier>
    <title>An image enhancement tool: pattern recognition image augmented resolution</title>
    <creators>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Image segmentation</subject>
        <subject>Image analysis</subject>
        <subject>Segmentation</subject>
        <subject>Image processing and computer vision</subject>
        <subject>Scene analysis</subject>
        <subject>Boundary detection</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Pattern recognition applications</subject>
        <subject>Pattern recognition</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1134/s1054661816030160</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318208</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1134%2FS1054661816030160</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357985/2016_357985.postprint.pdf?id=people______%3A%3Ae33801f01938979500651a050e68baba</url>
        <url hostedBy="Pattern Recognition and Image Analysis" rights="Closed Access">https://doi.org/10.1134/s1054661816030160</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318208/2/prod_357985-doc_166332.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318208&amp;bitstreamId=50b68e2d-cb4f-4739-a291-681f73e82b42</url>
    </urls>
    <dois>
        <doi>10.1134/s1054661816030160</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>PRIAR (Pattern Recognition Image Augmented Resolution) is an innovative approach to single-frame super-resolution that combines common single-frame super-resolution with pattern-recognition algorithms. PRIAR uses the information gained through pattern-recognition to enhance resolution for low quality images, and to allow the end user to explore, recognize and super-resolve low-resolution images. In this paper, we present the basic functionality of the PRIAR algorithm that we have implemented. The program is modular and each module is easily combined. In addition, such modularity permits us to work on images where single modules can be changed in order to resolve different classes of problems. In this paper, we firstly present the features of the PRIAR program processing images reproducing animal cells recorded with a scanning probe microscope.</abstract>
    <source>PATTERN RECOGNITION AND IMAGE ANALYSIS, vol. 26 (issue 3), pp. 518-523</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357986</identifier>
    <title>From collective adaptive systems to human centric computation and back: spatial model checking for medical imaging</title>
    <creators>
        <creator>Belmonte G</creator>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Spatial Model-checking</subject>
        <subject>Model logics</subject>
        <subject>Medical Imaging</subject>
        <subject>D.2.4 model checking</subject>
        <subject>Logic in Computer Science (cs.LO)</subject>
        <subject>Spatial Logics</subject>
        <subject>Software/Program Verification</subject>
        <subject>Computer Vision and Pattern Recognition (cs.CV)</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>J.3 medical information systems</subject>
        <subject>Computer Science - Logic in Computer Science</subject>
        <subject>Mathematical Logic</subject>
        <subject>F.4.1 modal logic</subject>
        <subject>Computer Science - Computer Vision and Pattern Recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1607.02235</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://arxiv.org/pdf/1607.02235</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://doaj.org/article/1420478a0c3b4382ba5adc7c7f224e53</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://doi.org/10.4204/eptcs.217.10</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.4204/eptcs.217.10</url>
        <url hostedBy="eptcs.web.cse.unsw.edu.au" rights="Open Access">http://eptcs.web.cse.unsw.edu.au/paper.cgi?FORECAST2016.10</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318209</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357986/2016_357986.pdf?id=people______%3A%3Ac40960c2e9a04a4fb589dff3ca2445d2</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1607.02235</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318209/1/prod_357986-doc_117000.pdf</url>
    </urls>
    <dois>
        <doi>10.4204/eptcs.217.10</doi>
        <doi>10.48550/arxiv.1607.02235</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Recent research on formal verification for Collective Adaptive Systems (CAS) pushed advancements in spatial and spatio-temporal model checking, and as a side result provided novel image analysis methodologies, rooted in logical methods for topological spaces. Medical Imaging (MI) is a field where such technologies show potential for ground-breaking innovation. In this position paper, we present a preliminary investigation centred on applications of spatial model checking to MI. The focus is shifted from pure logics to a mixture of logical, statistical and algorithmic approaches, driven by the logical nature intrinsic to the specification of the properties of interest in the field. As a result, novel operators are introduced, that could as well be brought back to the setting of CAS.</abstract>
    <source>ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, pp. 81-92. Vienna, Austria, 8 July 2016</source>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
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    <identifier>oai:it.cnr:prodotti:357987</identifier>
    <title>Nominal cellular automata</title>
    <creators>
        <creator orcid="0000-0003-0854-2587">Bolognesi T</creator>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer Science - Formal Languages and Automata Theory</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Nominal Sets</subject>
        <subject>Modes of Computation</subject>
        <subject>Computer Science - Logic in Computer Science</subject>
        <subject>Nominal Computation Theory</subject>
        <subject>Formal Languages and Automata Theory (cs.FL)</subject>
        <subject>FOS: Physical sciences</subject>
        <subject>Logic in Computer Science (cs.LO)</subject>
        <subject>Cellular Automata and Lattice Gases (nlin.CG)</subject>
        <subject>Cellular Automata</subject>
        <subject>Nonlinear Sciences - Cellular Automata and Lattice Gases</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1608.03320</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://arxiv.org/pdf/1608.03320</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://doaj.org/article/609586c7d9ee468584ae0814a7926842</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://doi.org/10.4204/eptcs.223.2</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.4204/eptcs.223.2</url>
        <url hostedBy="eptcs.web.cse.unsw.edu.au" rights="Open Access">http://eptcs.web.cse.unsw.edu.au/paper.cgi?ICE2016.2</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318210</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357987/2016_357987.pdf?id=people______%3A%3Acc73742a2f5ed0ecaabb55a16cd5b9ef</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1608.03320</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318210/1/prod_357987-doc_117001.pdf</url>
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    <dois>
        <doi>10.4204/eptcs.223.2</doi>
        <doi>10.48550/arxiv.1608.03320</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The emerging field of Nominal Computation Theory is concerned with the theory of Nominal Sets and its applications to Computer Science. We investigate here the impact of nominal sets on the definition of Cellular Automata and on their computational capabilities, with a special focus on the emergent behavioural properties of this new model and their significance in the context of computation-oriented interpretations of physical phenomena. A preliminary investigation of the relations between Nominal Cellular Automata and Wolfram's Elementary Cellular Automata is also carried out.</abstract>
    <source>ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, pp. 24-35. Heraklion, Crete, Greece, 8-9 June 2016</source>
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            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
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            <name>Bolognesi, Tommaso</name>
            <orcid>0000-0003-0854-2587</orcid>
            <affiliation code="dnet:pers:1242" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
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            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:357988</identifier>
    <title>On formal methods for collective adaptive system engineering. {Scalable approximated, spatial} analysis techniques. Extended abstract</title>
    <creators>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Difference and functional equations</subject>
        <subject>Closure Spaces</subject>
        <subject>Mean-Field Analysis</subject>
        <subject>Logic in Computer Science (cs.LO)</subject>
        <subject>Spatial Logics</subject>
        <subject>Computer Science - Software Engineering</subject>
        <subject>Modal Logics</subject>
        <subject>Software/Program Verification</subject>
        <subject>On the Fly approximated Model Checking</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Spatial Model Checking</subject>
        <subject>Markov processes</subject>
        <subject>Computer Science - Performance</subject>
        <subject>Computer Science - Logic in Computer Science</subject>
        <subject>Performance (cs.PF)</subject>
        <subject>Probabilistic Temporal Logics</subject>
        <subject>Mathematical Logic</subject>
        <subject>Performance Analysis and Design Aids</subject>
        <subject>Software Engineering (cs.SE)</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1607.02233</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://arxiv.org/pdf/1607.02233</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://doaj.org/article/28f6975858224a0d83ca3876de32827f</url>
        <url hostedBy="Electronic Proceedings in Theoretical Computer Science" rights="Open Access">https://doi.org/10.4204/eptcs.217.7</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.4204/eptcs.217.7</url>
        <url hostedBy="eptcs.web.cse.unsw.edu.au" rights="Open Access">http://eptcs.web.cse.unsw.edu.au/paper.cgi?FORECAST2016.7</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318211</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357988/2016_357988.published.pdf?id=people______%3A%3Ac7c4d64ded1f4b4130b37bd6063556ca</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1607.02233</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318211/1/prod_357988-doc_117002.pdf</url>
    </urls>
    <dois>
        <doi>10.4204/eptcs.217.7</doi>
        <doi>10.48550/arxiv.1607.02233</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this extended abstract a view on the role of Formal Methods in System Engineering is briefly presented. Then two examples of useful analysis techniques based on solid mathematical theories are discussed as well as the software tools which have been bu ilt for supporting such techniques. The first technique is Scalable Approximated Population DTM C Model-checking. The second one is Spatial Model-checking for Closure Spaces. Both techniq ues have been developed in the context of the EU funded project QUANTICOL.</abstract>
    <source>ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, pp. 53-61. Vienna, Austria, 8 July 2016</source>
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            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
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        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/257414/EU/Autonomic Service-Component Ensembles/ASCENS</infoId>
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            <acronym>ASCENS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
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    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
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    <identifier>oai:it.cnr:prodotti:357989</identifier>
    <title>Automated verification of programs and Web systems</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M.  H.</creator>
        <creator>Lisitsa A.</creator>
        <creator>Nemytykh A.  P.</creator>
        <creator>Ravara A.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Web systems</subject>
        <subject>Program transformation</subject>
        <subject>Programming languages</subject>
        <subject>Computational Theory and Mathematics</subject>
        <subject>Formal Methods and Tools</subject>
        <subject>Rule-based programming</subject>
        <subject>Software Engineering</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Software</subject>
        <subject>Specification and Verification</subject>
        <subject>Declarative programming</subject>
        <subject>Logic</subject>
        <subject>Software engineering</subject>
        <subject>Logics and meanings of programs</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Journal of Logical and Algebraic Methods in Programming" rights="Open Access">https://doi.org/10.1016/j.jlamp.2016.06.005</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.jlamp.2016.06.005</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318212</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/357989/2016_357989.published.pdf?id=people______%3A%3A08219c26cabad1d97e72136e1c44949f</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S2352220816300578</url>
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    <dois>
        <doi>10.1016/j.jlamp.2016.06.005</doi>
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    <bestRights>Open Access</bestRights>
    <abstract/>
    <source>THE JOURNAL OF LOGICAL AND ALGEBRAIC METHODS IN PROGRAMMING, vol. 85 (issue 5), pp. 653-654</source>
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<record>
    <identifier>oai:it.cnr:prodotti:357990</identifier>
    <title>Preface. Proceedings of the Workshop on FORmal methods for the quantitative Evaluation of Collective Adaptive SysTems</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Loreti M Eds</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Formal Methods</subject>
        <subject>Software Engineering</subject>
        <subject>Collective Adaptive Systems</subject>
        <subject>Software engineering</subject>
        <subject>Software/Program Verification. Formal methods</subject>
        <subject>Mathematical Logic</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="arxiv.org" rights="Open Access">https://arxiv.org/html/1607.02001v1</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.4204/eptcs.217</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318213</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318213/1/prod_357990-doc_117004.pdf</url>
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    <dois>
        <doi>10.4204/eptcs.217</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Collective Adaptive Systems (CAS) consist of a large number of spatially distributed heterogeneous entities with decentralised control and varying degrees of complex autonomous behaviour that may be competing for shared resources even when collaborating to reach common goals. It is important to carry out thorough quantitative modelling and analysis and verification of their design to investigate all aspects of their behaviour before they are put into operation. This requires combinations of formal methods and applied mathematics which moreover scale to large-scale CAS. The primary goal of FORECAST is to raise awareness in the software engineering and formal methods communities of the particularities of CAS and the design and control problems which they bring.</abstract>
    <source/>
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        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
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            <name>Ter Beek, Maurice Henri</name>
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<record>
    <identifier>oai:it.cnr:prodotti:357991</identifier>
    <title>Editorial message - Special Track on Service-Oriented Architectures and Programming (SOAP)</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek Mh</creator>
        <creator>Melgratti H</creator>
        <creator>Torres Vieira H Eds</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Service-Oriented Computing</subject>
        <subject>Service-Oriented Programming</subject>
        <subject>Service-Oriented Architectures</subject>
        <subject>Specification and Verififcation</subject>
        <subject>Quality of Service and Service-Level Agreements</subject>
        <subject>Performance Analysis</subject>
        <subject>Trust and Security</subject>
        <subject>Cloud Computing</subject>
        <subject>Performance of systems</subject>
        <subject>Software engineering</subject>
        <subject>Programming languages</subject>
        <subject>Logics and meanings of programs</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2851613&amp;picked=prox</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318214</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318214/1/prod_357991-doc_117005.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The SOAP track aims at bringing together researchers and practitioners having the common objective of transforming Service-Oriented Programming (SOP) into a mature discipline with both solid scientific foundations and mature software engineering development methodologies supported by dedicated tools. From the foundational point of view, many attempts to use formal methods for specification and verification in this setting have been made. Session correlation, service types, contract theories, and communication patterns are only a few examples of the aspects that have been investigated. Moreover, several formal models based upon automata, Petri nets and algebraic approaches have been developed. However, most of these approaches concentrate only on a few features of service-oriented systems in isolation, and a comprehensive approach is still lacking. From the engineering point of view, there are open issues at many levels. Among others, at the system design level, both traditional approaches based on UML and approaches taking inspiration from Business Process Modelling, e.g. BPMN, are used. At the composition level, orchestration and choreography are continuously being improved both formally and practically, with an evident need for their integration in the development process. At the description and discovery level, there are two separate communities pushing respectively the semantic approach (like ontologies and OWL) and the syntactic one (like WSDL). In particular, the role of discovery engines and protocols is not clear. In this respect, adopted standards are still missing.</abstract>
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    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
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            <affiliation code="dnet:pers:566" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:357993</identifier>
    <title>Big data and public administration: a case study for Tuscany airports</title>
    <creators>
        <creator orcid="0000-0003-3621-3211">Furletti B</creator>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator orcid="0000-0002-0051-0604">Fadda D</creator>
        <creator>Piccini L</creator>
        <creator>Lattarulo P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>GPS</subject>
        <subject>Data analysis</subject>
        <subject>Mobility data mining</subject>
        <subject>Database Applications</subject>
        <subject>Data mining</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318216</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318216&amp;bitstreamId=6de9e6ce-a3d5-4877-b7ac-3a540bb1e64b</url>
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    <bestRights>Restricted</bestRights>
    <abstract>In the last decade, the fast development of Information and Communication Technologies led to the wide diffusion of sensors able to track various aspects of human activity, as well as the storage and computational capabilities needed to record and analyze them. The so-called Big Data promise to improve the effectiveness of businesses, the quality of urban life, as well as many other fields, including the functioning of public administrations. Yet, translating the wealth of potential information hidden in Big Data to consumable intelligence seems to be still a difficult task, with a limited basis of success stories. This paper reports a project activity centered on a public administration - IRPET, the Regional Institute for Economic Planning of Tuscany (Italy). The paper deals, among other topics, with human mobility and public transportation at a regional scale, summarizing the open questions posed by the Public Administration (PA), the envisioned role that Big Data might have in answering them, the actual challenges that emerged in trying to implement them, and finally the results we obtained, the limitations that emerged and the lessons learned.</abstract>
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        <project>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:476</infoId>
            <name>Fadda, Daniele</name>
            <affiliation code="dnet:pers:476" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:220</infoId>
            <name>Furletti, Barbara</name>
            <orcid>0000-0003-3621-3211</orcid>
            <affiliation code="dnet:pers:220" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:357994</identifier>
    <title>gCube Data Catalogue: gcube-ckan-datacatalog [Release 1.0 , 12 July 2016]</title>
    <creators>
        <creator orcid="0000-0002-6528-664X">Mangiacrapa F</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>Data Catalogue</subject>
        <subject>Ckan</subject>
        <subject>Web Application</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318217</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The gCube Data Catalogue facilities for a) data publishing b) vres' products publishing c) making data products publicly available d) enriching products of metadata to maximise their potential reuse and e) making them searchable (via title, tags etc) are based on the CKAN technology. The gcube-ckan-datacatalog Web Application allows to (a) show all the metadata available in the CKAN instance linked to the current context (i.e. VRE) as well as publish a new product, retrieve the list of organizations to which the user belongs and his/her already published products. It also allows to view Statistics about the CKAN instance (number of published products, most edited products, top tags, most active users and so on).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:250</infoId>
            <name>Mangiacrapa, Francesco</name>
            <orcid>0000-0002-6528-664X</orcid>
            <affiliation code="dnet:pers:250" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357995</identifier>
    <title>gCube Social Networking Cloud: News Feed [Release 2.0.0 , 22 July 2016]</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Web Application</subject>
        <subject>Social Networking</subject>
        <subject>Virtual Research Environments</subject>
        <subject>gCube System</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318218</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The gCube social networking facilities manifest in a number of applications made available through a thin Web browser are conceptually close to the common facilities promoted by social networks - e.g., posting news, commenting on posted news - yet adapted to deal with large scale collaboration and cooperation on comprehensive scientific prod- ucts, data sets, theories and tools. The News Feed lists users' and applications' updates and make these available to every user according to his/her preferences. Additionally, it enables users to comment, subscribe or reshare these updates, and - in case of application posts - to make users access the subject of the post directly in the application that created it, e.g., to see a data set or an application. Moreover it allows to trigger topic search when clicking on a post containing hashtags (topics).</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357996</identifier>
    <title>gCube Social Networking Cloud: share-updates [Release 2.0.0 , 22 July 2016]</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>Social Networking</subject>
        <subject>Distributed Infrastructures</subject>
        <subject>Web Application</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318219</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The D4Science social networking facilities manifest in a number of applications made available through a thin client Web Browser are conceptually close to the common facilities promoted by social networks - e.g., posting news, commenting on posted news - yet adapted to deal with large scale collaboration and cooperation on comprehensive scientific products, data sets, theories and tools. The Share Updates enables (a) users to post updates or interesting links to others (this could be done with any social network) and (b) applications to post updates such as the avail- ability of a new product or facility. Moreover it allows to mention other users and to define topics in a post by using the hashtag character.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:357999</identifier>
    <title>gCube Social Networking Cloud: social-data-search-client [Release 1.0 , 21 March 2016]</title>
    <creators>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>ElasticSearch</subject>
        <subject>Full-text search</subject>
        <subject>Cassandra</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318222</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The gCube Social Networking Cloud facilities manifest in a number of applications made available through a Web Browser conceptually close to the common facilities promoted by social networks - e.g., posting news, commenting on posted news - yet adapted to deal with large scale collaboration and cooperation on comprehensive scientific products, data sets, theories and tools. The social-data-search-client is the library that enables the full-text search over posts and comments. The search is actually performed on: post/comment's content, post/comment's author and post attachments' names, if any. It relies on the ElasticSearch engine. The returned list of retrieved posts is, of course, filtered taking into account the data the user is allowed to access.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358001</identifier>
    <title>gCube Social Networking Cloud: top-topics [Release 2.0.0 , 22 July 2016]</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>Social Networking</subject>
        <subject>Topics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318224</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The D4Science social networking facilities manifest in a number of applications made available through a thin client Web Browser are conceptually close to the common facilities promoted by social networks - e.g., posting news, commenting on posted news - yet adapted to deal with large scale collaboration and cooperation on comprehensive scientific products, data sets, theories and tools. The Top Topics allows to see the hottest topics of discussion in the whole Infrastructure or per context (i.e. per VRE).</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358002</identifier>
    <title>gCube Social Networking Cloud: user-statistics [Release 2.0 , 19 July 2016]</title>
    <creators>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>Social Networking</subject>
        <subject>Distributed Infrastructures</subject>
        <subject>Web Application</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318225</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The D4Science social networking facilities manifest in a number of applications made available through a thin client Web Browser are conceptually close to the common facilities promoted by social networks - e.g., posting news, commenting on posted news - yet adapted to deal with large scale collaboration and cooperation on comprehensive scientific products, data sets, theories and tools. The User-Statistics portlet allows a user to check the current number of: posts written, post replies and likes done, post replies and likes received in the last year. Moreover, it shows the total amount of space used within the infrastructure. It also suggests the user to update his/her profile information in order to boost his/her visibility within the VREs he/she belongs to.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358004</identifier>
    <title>gCube VRE Definition App [Release 5.0 , 30 June 2016]</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>gCube</subject>
        <subject>VRE Definition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318227</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The gCube VRE Definition App shows a wizard that allows VRE managers to create VREs, defining their name, their temporal coverage (i.e. start date and end date after which the VRE expires), their managers, their description (optional) and the resources they will need to operate. All the resource information of the e-Infrastructure reside in the gCube Information System (IS), which plays the role of the infrastructure's registry and supports the publishing, discovery and monitoring of all the parts that form the infrastructure.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358005</identifier>
    <title>Software journal practices</title>
    <creators>
        <creator>Baldacci Mb</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
        <creator orcid="0000-0002-6079-2383">Tani A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Review of software journal practices</subject>
        <subject>Software journals</subject>
        <subject>Digital libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318228</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318228&amp;bitstreamId=154d35fc-c241-49fa-baa3-125f73972c97</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>An abstract is not available</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:450</infoId>
            <name>Baldacci, Maria Bruna</name>
            <affiliation code="dnet:pers:450" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:169</infoId>
            <name>Tani, Alice</name>
            <orcid>0000-0002-6079-2383</orcid>
            <affiliation code="dnet:pers:169" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358120</identifier>
    <title>Research ideas FMICS-AVoCS 2016</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek Mh</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator>Knapp A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Formal methods</subject>
        <subject>Critical systems</subject>
        <subject>Automated verification techniques</subject>
        <subject>Model-based system analysis</subject>
        <subject>Application and Case Studies</subject>
        <subject>Software/Program verification - formal methods</subject>
        <subject>Software/Program Verification-model checking</subject>
        <subject>Reusable software--domain engineering</subject>
        <subject>Probability and statistics--Markov processes</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320603</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358120/2016_358120.pdf?id=people______%3A%3A40f98f2b85c6552b14c45d48ce6df207</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320603/1/prod_358120-doc_117084.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This technical report of ISTI contains the research ideas presented at the International Workshop on Formal Methods for Industrial Critical Systems and Automated Verification of Critical Systems (FMICS-AVoCS), which was held in Pisa, Italy, September 26-28, 2016. FMICS-AVoCS 2016 combines the 21st International Workshop on Formal Methods for Industrial Critical Systems and the 16th International Workshop on Automated Verification of Critical Systems. FMICS-AVoCS 2016 encouraged the submission of research ideas in order to stimulate discussions at the workshop. These research ideas typically concern reports on ongoing work or surveys on work published elsewhere related to the topics of interest to FMICS-AVoCS.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
            <orcid>0000-0002-2930-6367</orcid>
            <affiliation code="dnet:pers:566" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:566" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358135</identifier>
    <title>Design of a breath analysis device for self-monitoring and remote health-care</title>
    <creators>
        <creator orcid="0000-0002-7814-5280">Germanese D</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Breath analysis</subject>
        <subject>Gas sensors</subject>
        <subject>Home-care</subject>
        <subject>Portable device</subject>
        <subject>Self-monitoring</subject>
        <subject>Signal processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320617</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358135/2016_358135.postprint.pdf?id=people______%3A%3A6621a6399f398ed422ba2ffe5062d155</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320617/2/prod_358135-doc_181215.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320617&amp;bitstreamId=6a0a6c25-aa5f-4881-a702-ab68afb8bbc4</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Technique as new as promising, breath analysis enables the monitoring of biochemical processes in human body in a non-invasive way. This is why it is drawing, more and more, the attention of scientific community: many studies have been addressed in order to find a correlation between breath volatile organic compounds (VOCs) and several diseases. Despite its potential, breath analysis is still far from being used in clinical practice. These are some of the principal reasons: (i)high costs for the standard analytical instrumentation; (ii)need of specialized personnel for the interpretation of the results; (iii)lack of standardized procedures to collect breath samples. Our aim is to develop a device, which we call Wize Sniffer (WS), based on commercial gas sensors, which is: (i)able to analyse breath gases in real time; (ii)portable; (iii)low-cost; (iv)easy-to-use also for non-specialized personnel. Another aim is to foster homecare, that means promote the purchase and the use, also in home environment, of such device. The Wize Sniffer is composed of three modules: signal measurement, signal conditioning and signal processing. To satisfy the goal of developing a device by using low-cost technology, its core is composed of an array of commercial, low cost, semiconductor-based gas sensors, and a widely employed open source controller: an Arduino board. To promote the use of such device also in home environment, and foster its daily use, it is programmed in order to send breath test results also to a remote pc: the pc of user's physician, for example. In addition, the design of the Wize Sniffer is based on a modular configuration, thus enabling to change the type of the gas sensors according to the breath molecules to be detected. In this case, we focus our attention to the prevention of cardio-metabolic risk, for which the healthcare systems are registering an exponential growth of social costs, by monitoring those dangerous habits for cardio-metabolic risk itself.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358196</identifier>
    <title>Due</title>
    <creators>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Programming languages</subject>
        <subject>Software engineering</subject>
        <subject>Formal definitions and theory</subject>
        <subject>Language constructs and features</subject>
        <subject>Data storage representations</subject>
        <subject>Semantics of programming languages</subject>
        <subject>Mathematical logic and formal languages</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321138</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358196/2016_358196.pdf?id=people______%3A%3A8705e77930b805a1f679864ec1590a9a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321138/1/prod_358196-doc_117130.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>According to the vision of Ambient Intelligence (AmI), the most advanced technologies are those that disappear: computer technology should become invisible. All the objects around us must possess sufficient computing capacity to interact with users, the surroundings, each other and exhibit intelligent behavior. In home environments, Ambient Intelligence is the layer on top of the domotics. Its aim is to integrate isolated devices to achieve global, unified goals. Today, the lack of standard definition of application requirements for domotics has led to the development of a large number of ad hoc solutions which unfortunately are often limited and difficult to integrate. In order to make the advent of genuine AmI applications possible, there is a crucial need to define and develop a standard way forward. The objective of this paper is to take steps in this direction by proposing an innovative intelligent system (DUE ­ Domus Universal System) based on: (1) a new universal distributed programming language (DUL ­ Domus Universal Language), (2) a sort type used to describe devices and device I/O (dXML ­ Domus XML), (3) an hardware abstraction layer (dHAL ­ Domus Hardware Abstraction Layer) and (4) open source hardware/software philosophy. The aim of this system is provide an ad­hoc language able to implement coherence analysis of a domotic application at compile and at run time, and to easily describe the behaviour of domotic systems in relation to the events and contexts of users and devices. The sort type permits to DUL to be a modular language, this perfectly fits for home automation applications and permits a natural development of a text­based and/or graphical programming environment. Being an universal language, alongside to a middleware ableto realize the fully interoperability among different and natively incompatible domotic systems and devices, this language can be used without taking care about the technologies of used devices. Being designed as distributed language, the system can share the computation loads according to the computing capabilities of the domotic network.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:358966</identifier>
    <title>Detection and localization of gold nanoshells inside cells: near-field approximation</title>
    <creators>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator orcid="0000-0002-8581-3478">Cricenti A</creator>
        <creator>Danti S</creator>
        <creator orcid="0000-0002-9172-4973">Dinarelli S</creator>
        <creator orcid="0000-0003-3897-0793">Luce M</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Materials Science (miscellaneous)</subject>
        <subject>Tissue transparency window</subject>
        <subject>H9c2 mouse cell</subject>
        <subject>Near-infrared</subject>
        <subject>Near-Field SNOM</subject>
        <subject>Industrial and Manufacturing Engineering</subject>
        <subject>Business and International Management</subject>
        <subject>Partial Differential Equations</subject>
        <subject>Core-gold nanoshells</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1364/ao.55.000d11</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325462</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358966/2016_358966.preprint.pdf?id=people______%3A%3Afd4c8853fe9bc19992eee6c4941cdb90</url>
        <url hostedBy="www.osapublishing.org" rights="Open Access">https://www.osapublishing.org/ao/abstract.cfm?uri=ao-55-34-D11</url>
        <url hostedBy="Applied Optics" rights="not available">https://doi.org/10.1364/ao.55.000d11</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325462/1/prod_358966-doc_117607.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325462/2/prod_358966-doc_168195.pdf</url>
    </urls>
    <dois>
        <doi>10.1364/ao.55.000d11</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The optical properties of metal nanoparticles play a fundamental role for their use in a wide range of applications. In hyperthermia treatment, for example, gold nanoshells (NSs, dielectric core+gold shell) pre-embedded in a cancer cell absorb energy when exposed to appropriate wavelengths of a laser beam and heat up, thereby destroying the cancer cell. In this process, nevertheless, healthy tissues (not targeted by the NSs) along the laser path are not affected; this is because most biological soft tissues have a relatively low light absorption coefficient in the near-infrared (NIR) regions-a characteristic known as the tissue optical window. Over such a window, NIR light transmits through the tissues with scattering-limited attenuation and minimal heating, thereby avoiding damage to healthy tissues. As a consequence, the identification of NSs assumed a fundamental role for the further development of such cancer treatment. Recently, we have demonstrated the possibility to identify 100-150 nm diameter gold NSs inside mouse cells using a scanning near-optical microscope (SNOM). In this paper, we provide a numerical demonstration that the SNOM is able to locate NSs inside the cell with a particle-aperture distance of about 100 nm. This result was obtained by developing an analytical approach based on the calculation of the dyadic Green function in the near-field approximation. The implications of our findings will remarkably affect further investigations on the interaction between NSs and biological systems.</abstract>
    <source>APPLIED OPTICS (2004), vol. 55 (issue 34), pp. D11-D16</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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        <citation>25. F. Keilmann and R. Hilenbrand, “Near-field microscopy by elastic light scattering from a tip,” Philos. Trans. R. Soc. A 362, 787-805 (2004).</citation>
        <citation>26. P. Dvorák, T. Neuman, L. Brínek, T. Šamoril, R. Kalousek, P. Dub, P. Varga, and T. Šikola, “Control and near-field detection of surface plasmons interference patterns,” Nano Lett. 13, 2558-2563 (2013).</citation>
        <citation>27. Y. Ould Agha, O. Demichel, C. Girard, A. Bouelier, and G. Colas des Francs, “Near-field properties of plasmonics nanostructures with high aspect ratio,” arXiv: 1509.07103v1 2015.</citation>
        <citation>28. J. Jung, T. Søndergaard, T. G. Pedersen, K. Pedersen, A. Nylandsted Larsen, and B. B. Nielsen, “Dyadic Green's functions of thin films: applications within plasmonics solar cells,” Phys. Rev. B 83, 085419 (2011).</citation>
        <citation>29. J. Jung, T. G. Pedersen, T. Søndergaard, K. Pedersen, A. N. Larsen, and B. B. Nielsen, “Electrostatic plasmon resonances of metal nanospheres in layered geometries,” Phys. Rev. B 81, 125413 (2010).</citation>
        <citation>30. D. Sikdar, I. D. Rukhlenko, W. Cheng, and M. Premaratne, “Effect of number density on optimal design of gold nanoshells for plasmonic photothermal therapy,” Biomed. Opt. Express 4, 15-31 (2013).</citation>
    </citations>
    <collections>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358972</identifier>
    <title>Propagation of waves in masonry-like solids</title>
    <creators>
        <creator orcid="0000-0002-7358-5607">Girardi M</creator>
        <creator orcid="0000-0002-2467-569X">Padovani C</creator>
        <creator orcid="0000-0002-3416-771X">Pellegrini D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Acoustic tensor</subject>
        <subject>Mechanics of Materials</subject>
        <subject>Nonlinear elasticity</subject>
        <subject>Applied Mathematics</subject>
        <subject>Masonry-like materiales</subject>
        <subject>Progressive waves</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Journal of Mechanics of Materials and Structures" rights="Open Access">http://msp.org/jomms/2016/11-5/jomms-v11-n5-p02-s.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358972/2016_358972.preprint.pdf?id=people______%3A%3A9e3b5f64b70232fc6e8118e0be2559b5</url>
        <url hostedBy="Journal of Mechanics of Materials and Structures" rights="not available">https://doi.org/10.2140/jomms.2016.11.505</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2140/jomms.2016.11.505</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325468</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325468&amp;bitstreamId=ca2bfba8-8443-43c9-acd2-a91a608b28a8</url>
        <url hostedBy="msp.org" rights="Restricted">http://msp.org/jomms/2016/11-5/p02.xhtml</url>
    </urls>
    <dois>
        <doi>10.2140/jomms.2016.11.505</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This paper deals with the propagation of progressive elastic waves in masonry-like solids. The constitutive equation of masonry-like materials models the mechanical behaviour of materials, such as masonry, rocks and stones, that do not withstand tensile stresses. The stress function delivering the Cauchy stress T corresponding to an infinitesimal strain tensor E is nonlinear and differentiable on an open subset W of the set of all strains. We consider the propagation of small amplitude elastic waves in a masonry-like body subjected to a homogenous strain field E belonging to W. We obtain the propagation condition, which involves the acoustic tensor A(E; n) depending on both E and the direction of propagation n, and prove that, due to the presence of cracks, the wave propagation velocities in masonry are lower than in a linear elastic material.</abstract>
    <source>JOURNAL OF MECHANICS OF MATERIALS AND STRUCTURES, vol. 11 (issue 5), pp. 505-533</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
            <orcid>0000-0002-7358-5607</orcid>
            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1106</infoId>
            <name>Padovani, Cristina</name>
            <orcid>0000-0002-2467-569X</orcid>
            <affiliation code="dnet:pers:1106" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:430</infoId>
            <name>Pellegrini, Daniele</name>
            <orcid>0000-0002-3416-771X</orcid>
            <affiliation code="dnet:pers:430" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:358974</identifier>
    <title>How effective are aggregation methods on binary features?</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0001-7182-7038">Vadicamo L</creator>
    </creators>
    <publisher>SCITEPRESS - Science and Technology Publications</publisher>
    <subjects>
        <subject>VLAD</subject>
        <subject>Binary local features</subject>
        <subject>H.3.3 Information Search and Retrieval</subject>
        <subject>Multimedia information retrieval</subject>
        <subject>CBIR</subject>
        <subject>Fisher vector</subject>
        <subject>Image representation</subject>
        <subject>Bag of word</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Open Access">https://doi.org/10.5220/0005719905660573</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5220/0005719905660573</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325470</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358974/2016_358974.postprint.pdf?id=people______%3A%3Aef911ce8fb511677b21303fd7b15a573</url>
        <url hostedBy="www.scitepress.org" rights="Open Access">http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=+UzaCiMvw6M=&amp;t=1</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325470/1/prod_358974-doc_117614.pdf</url>
    </urls>
    <dois>
        <doi>10.5220/0005719905660573</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>During the last decade, various local features have been proposed and used to support Content Based Image Retrieval and object recognition tasks. Local features allow to effectively match local structures between images, but the cost of extraction and pairwise comparison of the local descriptors becomes a bottleneck when mobile devices and/or large database are used. Two major directions have been followed to improve efficiency of local features based approaches. On one hand, the cost of extracting, representing and matching local visual descriptors has been reduced by defining binary local features. On the other hand, methods for quantizing or aggregating local features have been proposed to scale up image matching on very large scale. In this paper, we performed an extensive comparison of the state-of-the-art aggregation methods applied to ORB binary descriptors. Our results show that the use of aggregation methods on binary local features is generally effective even if, as expected, there is a loss of performance compared to the same approaches applied to non-binary features. However, aggregations of binary feature represent a worthwhile option when one need to use devices with very low CPU and memory resources, as mobile and wearable devices.</abstract>
    <source/>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>325122</code>
            <name>Europeana network of Ancient Greek and Latin Epigraphy</name>
            <acronym>Europeana network of Ancient Greek and Latin Epigraphy</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:383</infoId>
            <name>Vadicamo, Lucia</name>
            <orcid>0000-0001-7182-7038</orcid>
            <affiliation code="dnet:pers:383" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358978</identifier>
    <title>Measurement of the vibration response of the medieval Maddalena Bridge (Italy).</title>
    <creators>
        <creator>Azzara R M</creator>
        <creator>De Falco A</creator>
        <creator orcid="0000-0002-7358-5607">Girardi M</creator>
        <creator orcid="0000-0002-3416-771X">Pellegrini D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Masonry buildings</subject>
        <subject>Structural health monitoring</subject>
        <subject>Numerical methods</subject>
        <subject>Operational modal analysis</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325474</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325474&amp;bitstreamId=a0b33381-2fd0-4468-abbc-c964afc7e7ce</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Nowadays the structural health monitoring of ancient masonry constructions is a key issue. In this context, one very important approach is the use of wholly nondestructive techniques, such as measurement of the environmental vibrations affecting structures. This paper reports on a vibration measurements campaign performed on the medieval Maddalena Bridge in Borgo a Mozzano, near Lucca, also known as "Ponte del Diavolo" (Devil's Bridge), one of the most fascinating old masonry bridges in Italy. The bridge, built in the 11th century, crosses the Serchio River for about one hundred meters with four circular arcades. The monitoring system has been mainly aimed at evaluating the dynamic response of the bridge to vibrations originating in the adjacent railway and two nearby roads. Analysis of the recorded data via Operational Modal Analysis techniques has furnished the natural frequencies and mode shapes of the structure and the corresponding damping ratios.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
            <orcid>0000-0002-7358-5607</orcid>
            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:430</infoId>
            <name>Pellegrini, Daniele</name>
            <orcid>0000-0002-3416-771X</orcid>
            <affiliation code="dnet:pers:430" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358980</identifier>
    <title>Assessment of the dynamic behaviour of an ancient masonry tower in Lucca via ambient vibrations</title>
    <creators>
        <creator>Azzara R.  M.</creator>
        <creator>De Roeck G.</creator>
        <creator>Reynders E.</creator>
        <creator orcid="0000-0002-7358-5607">Girardi M.</creator>
        <creator orcid="0000-0002-2467-569X">Padovani C.</creator>
        <creator orcid="0000-0002-3416-771X">Pellegrini D.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Numerical methods</subject>
        <subject>Operational modal analysis</subject>
        <subject>Masonry buildings</subject>
        <subject>Structural health monitoring</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1201/9781315616995-90</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1201/9781315616995-90</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325476</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325476&amp;bitstreamId=9c6d3aa3-c068-4386-b06c-4fae87ce77ab</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-85001913286&amp;partnerID=MN8TOARS</url>
        <url hostedBy="www.taylorfrancis.com" rights="Restricted">https://www.taylorfrancis.com/books/e/9781315616995</url>
    </urls>
    <dois>
        <doi>10.1201/9781315616995-90</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>This paper reports on a seismic monitoring experiment conducted on the bell tower of the San Frediano Church in Lucca, Italy. The tower, dating back to the 11th century, has been fitted along its height with four triaxial seismometric stations which were then left active on the tower for four days. The data from the monitoring system have been processed via the Stochastic Subspace Identification Method, implemented in the MACEC code, which has allowed extracting the tower's natural frequencies, mode shapes and damping ratios and their variations over time. A finite element model of the structure has been created via the NOSA-ITACA code and updated to fit the experimental data. The analysis has proved the effectiveness of the tools employed to assess the dynamic behaviour of ancient masonry towers.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
            <orcid>0000-0002-7358-5607</orcid>
            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1106</infoId>
            <name>Padovani, Cristina</name>
            <orcid>0000-0002-2467-569X</orcid>
            <affiliation code="dnet:pers:1106" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:430</infoId>
            <name>Pellegrini, Daniele</name>
            <orcid>0000-0002-3416-771X</orcid>
            <affiliation code="dnet:pers:430" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358982</identifier>
    <title>Fiscal software certification: An Italian experience of certification against the fiscal legislation</title>
    <creators>
        <creator orcid="0000-0003-2939-0826">Biscoglio I</creator>
        <creator orcid="0000-0003-2960-5241">Lami G</creator>
        <creator orcid="0000-0002-6727-5266">Trentanni G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cash register</subject>
        <subject>Certification</subject>
        <subject>Legislation</subject>
        <subject>Requirements</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325478</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325478&amp;bitstreamId=ceee343a-79bc-421f-8417-6a8f1fba0901</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This paper describes an experience of software certification in the specific fiscal software domain. The Italian Fiscal Software Certification scenario and the cash register, as specific kind of fiscal device running fiscal software, are outlined. Besides, some requirements, extracted from the current legislation, are shown. As the Italian legislation does not provide it, a Business Process Model (BPM) presenting the fiscal software certification process is illustrated. The BPM was built by means of a study of the current legislation and it constitutes the original contribution to the paper. Finally, the challenges of the further technological adjustments according to the Italian legislation are discussed.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:844</infoId>
            <name>Biscoglio, Isabella</name>
            <orcid>0000-0003-2939-0826</orcid>
            <affiliation code="dnet:pers:844" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1540</infoId>
            <name>Lami, Giuseppe</name>
            <orcid>0000-0003-2960-5241</orcid>
            <affiliation code="dnet:pers:1540" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:620</infoId>
            <name>Trentanni, Gianluca</name>
            <orcid>0000-0002-6727-5266</orcid>
            <affiliation code="dnet:pers:620" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:358983</identifier>
    <title>A device for self-monitoring breath analysis</title>
    <creators>
        <creator orcid="0000-0002-7814-5280">Germanese D</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator>Guidi M</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher>IARIA PRESS</publisher>
    <subjects>
        <subject>Breath Analysis</subject>
        <subject>Portable device</subject>
        <subject>Chemical sensors</subject>
        <subject>Statistical Data Processing</subject>
        <subject>G.3 PROBABILITY AND STATISTICS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325479</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358983/2016_358983.postprint.pdf?id=people______%3A%3A89fb0c18cc190b656bcb6e4c365f3e6f</url>
        <url hostedBy="thinkmind.org" rights="Open Access">https://thinkmind.org/index.php?view=article&amp;articleid=sensordevices_2016_6_10_20053</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325479/1/prod_358983-doc_117622.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Let's think about the numerous diagnostic screening methods. How many of them are invasive? How many of them present side effects? How many of them are expensive? We can affirm that the majority of the regular prophylactic checkups are sufficiently invasive, expensive and, sometimes, painful to discourage the subjects from participating in preemptive diagnostic procedures. As a consequence, in recent years, the need for the development of low cost, non invasive, rapid tools for the monitoring of metabolic processes has been increased. Breath analysis, performed by means of gas sensor array, may be an example of this kind of tools. In this paper, we will present the development of a portable, low cost, easy to use device for breath analysis, based on commercial semiconductor-based gas sensor array. We will describe its design, both from a hardware and software point of view. In addition, by describing the functionality tests of the device and the experimental results, we will highlight the pros and cons that come from the use of such type of low cost adopted technology to analyze breath molecules</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <acronym>04 Contributo in convegno</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou228</code>
            <name>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</name>
            <acronym>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:358984</identifier>
    <title>Web-based visualization for 3D data in archaeology: The ADS 3D viewer</title>
    <creators>
        <creator>Galeazzi F</creator>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator>Charno M</creator>
        <creator>Richards J</creator>
        <creator>Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D web</subject>
        <subject>Web-based 3D visualization</subject>
        <subject>Archaeological stratigraphy</subject>
        <subject>Archeology</subject>
        <subject>3D data analysis</subject>
        <subject>3D documentation</subject>
        <subject>Online repository</subject>
        <subject>Archaeological excavation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.jasrep.2016.06.045</url>
        <url hostedBy="Journal of Archaeological Science Reports" rights="Open Access">https://eprints.whiterose.ac.uk/102438/1/Galeazzi_et_al_2016.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318127</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358984/2016_358984.postprint.pdf?id=people______%3A%3Aa8dd4caba183ab0139a612b3b5852696</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S2352409X16303261</url>
        <url hostedBy="Journal of Archaeological Science Reports" rights="Closed Access">https://doi.org/10.1016/j.jasrep.2016.06.045</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318127/2/prod_358984-doc_157001.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318127&amp;bitstreamId=307aeaa8-9de8-4d73-a1b9-04dc2bf39d7b</url>
    </urls>
    <dois>
        <doi>10.1016/j.jasrep.2016.06.045</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The solid geometry of archaeological deposits is fundamental to the interpretation of their chronological sequence. However, such stratigraphic sequences are generally viewed as static two-dimensional diagrammatic representations which are difficult to manipulate or to relate to real layers. The ADS 3D Viewer is a web-based resource for the management and analysis of archaeological data. The viewer was developed to take advantage of recent developments in web technology, namely the adoption of WebGL (Web Graphics Library) by current web browsers. The ADS 3D Viewer combines the potential of the 3D Heritage Online Presenter (3DHOP), a software package for the web-based visualization of 3D geometries, with the infrastructure of the Archaeology Data Service (ADS) repository, in the attempt to create a platform for the visualization and analysis of 3D data archived by the ADS.Two versions of the viewer have been developed to answer the needs of different users. The first version, the Object Level 3D Viewer, was implemented to extend the browsing capability of ADS project archives by enabling the visualization of single 3D models. The second version, the Stratigraphy 3D Viewer, is an extension which allows the exploration of a specific kind of aggregated data: the multiple layers of an archaeological stratigraphic sequence. This allows those unable to participate directly in the fieldwork to access, analyse and re-interpret the archaeological context remotely. This has the potential to transform the discipline, allowing inter-disciplinary, cross-border and 'at-distance' collaborative workflows, and enabling easier access to and analysis of archaeological data.</abstract>
    <source>JOURNAL OF ARCHAEOLOGICAL SCIENCE: REPORTS, vol. 9, pp. 1-11</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>Adobe 3D, 2015.</citation>
        <citation>https://helpx.adobe.com/ accessed November 15, 2015.</citation>
        <citation>Adobe 3D Navigation Tools. Electronic document, acrobat/using/displaying-3d-models-pdfs.html#3d_preferences, Alvey, B., 1989. Hindsite. Archaeological Computing Newsletter 19, 4-5.</citation>
        <citation>Behr J, Eschler P, Jung Y, Zollner M., 2009. X3dom: a dom-based html5 ¨ /x3d 1160 integration model. In: Proceedings of the 14th International Conference 1161 on 3D Web Technology. We , p. 127 35.</citation>
        <citation>Benko, H., Ishak, E.W., Feiner, S., 2004. Collaborative Mixed Reality Visualization of an Archaeological Excavation. In: Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR '04), November 2-5, 132-140. DOI&gt;10.1109/ISMAR.2004.23 Boast R., Chapman, D., 1991. SQL and hypertext generation of stratigraphic adjacency matrices. In: Lockyear, K., Rahtz, S. P. Q. (Eds.), Computer Application and Quantitative methods in Archaeology. CAA Conference, Southampton, GB, March 1990. Oxford UK: BAR International Series 565, 29 37.</citation>
        <citation>MeshLab, 2015. MeshLab. Electronic document, http://meshlab.sourceforge.net/, accessed October 15, 2015.</citation>
        <citation>Richards, J.D., 1998. Recent Trends in Computer Applications in Archaeology. Journal of Archaeological Research 6 (4), 331-382.</citation>
        <citation>Stal C., Van Liefferinge, K., De Reu, J., Docter, R., Dierkens, G., De Maeyer, P., Mortier, S., Nuttens, T., Pieters, T., van den Eijnde, F., van de Put, W., De Wulf, A., 2014. Integrating geomatics in archaeological research at the site of Thorikos (Greece). Journal of Archaeological Science 45, 112 125.</citation>
        <citation>Trautner, T., 2015. Visualizin Archaeological Excavations based on Unity3D. In: Proceedings of CESCG 2015: The 19th Central European Seminar on Computer Graphics.</citation>
        <citation>Electronic document: http://www.vrvis.at/publications/pdfs/PB-VRVis-2015-014.pdf, accessed 15 October 2015.</citation>
        <citation>Unity, 2015. Unity: Create the games you love with unity. Electronic document: http://unity3d.com/, accessed 15 October 2015) Wilcock, J.D., 1975. Archaeological Context Sorting by Computer. In: Laflin, S. (Ed.), Computer Applications in Archaeology 1975. Proceedings of the Annual Conference, University of Birmingham, January 1975, 93 97.</citation>
    </citations>
    <collections>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:358985</identifier>
    <title>End-user personalization of context-dependent applications in AAL scenarios</title>
    <creators>
        <creator orcid="0000-0002-6061-9855">Ghiani G.</creator>
        <creator orcid="0000-0003-1029-9934">Manca M.</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F.</creator>
        <creator orcid="0000-0002-0556-7538">Santoro C.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Personalization</subject>
        <subject>End-User Development</subject>
        <subject>AAL</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2965005</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2957265.2965005</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2957265.2965005</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318128</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318128&amp;bitstreamId=fa65fa8d-320b-4c7e-ad5c-4464ccd83cc5</url>
    </urls>
    <dois>
        <doi>10.1145/2957265.2965005</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The design and development of flexible applications able to match the many possible user needs and provide high quality user experience is still a major issue. In ambient-assisted living scenarios there is the need of giving adequate support to elderly so that they can independently live at home. Thus, providing personalized assistance is particularly critical because ageing people often have different ranges of individual needs, requirements and disabilities. In this position paper we introduce a solution based on an End-User Development environment that allows patients and caregivers to tailor the context-dependent behaviour of their Web applications in order to facilitate patients' life. This is done through the specification of trigger-action rules to support application customization.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:818</infoId>
            <name>Ghiani, Giuseppe</name>
            <orcid>0000-0002-6061-9855</orcid>
            <affiliation code="dnet:pers:818" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:154</infoId>
            <name>Manca, Marco</name>
            <orcid>0000-0003-1029-9934</orcid>
            <affiliation code="dnet:pers:154" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1381</infoId>
            <name>Santoro, Carmelina</name>
            <orcid>0000-0002-0556-7538</orcid>
            <affiliation code="dnet:pers:1381" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:358987</identifier>
    <title>Relative Scale Estimation and 3D Registration of Multi-Modal Geometry Using Growing Least Squares</title>
    <creators>
        <creator>Mellado N</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Multi-modal data</subject>
        <subject>Software</subject>
        <subject>[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>3D registration</subject>
        <subject>Multi-scale descriptors</subject>
        <subject>Signal Processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/tvcg.2015.2505287</url>
        <url hostedBy="IEEE Transactions on Visualization and Computer Graphics" rights="Open Access">https://hal.inria.fr/hal-01498218/file/paper.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318130</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7349220/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358987/2016_358987.postprint.pdf?id=people______%3A%3A261cadedd7587b0efebc0311ea89c001</url>
        <url hostedBy="IEEE Transactions on Visualization and Computer Graphics" rights="Closed Access">https://doi.org/10.1109/tvcg.2015.2505287</url>
        <url hostedBy="HAL Descartes" rights="not available">https://hal.inria.fr/hal-01498218</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318130/2/prod_358987-doc_126693.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318130&amp;bitstreamId=584daaca-ddcb-4257-8b11-9ee570b53c77</url>
    </urls>
    <dois>
        <doi>10.1109/tvcg.2015.2505287</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The advent of low cost scanning devices and the improvement of multi-view stereo techniques have made the acquisition of 3D geometry ubiquitous. Data gathered from different devices, however, result in large variations in detail, scale, and coverage. Registration of such data is essential before visualizing, comparing and archiving them. However, state-of-the-art methods for geometry registration cannot be directly applied due to intrinsic differences between the models, e.g., sampling, scale, noise. In this paper we present a method for the automatic registration of multi-modal geometric data, i.e., acquired by devices with different properties (e.g., resolution, noise, data scaling). The method uses a descriptor based on Growing Least Squares, and is robust to noise, variation in sampling density, details, and enables scale-invariant matching. It allows not only the measurement of the similarity between the geometry surrounding two points, but also the estimation of their relative scale. As it is computed locally, it can be used to analyze large point clouds composed of millions of points. We implemented our approach in two registration procedures (assisted and automatic) and applied them successfully on a number of synthetic and real cases. We show that using our method, multi-modal models can be automatically registered, regardless of their differences in noise, detail, scale, and unknown relative coverage.</abstract>
    <source>IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, vol. 22 (issue 9), pp. 2160-2173</source>
    <projects>
        <project>
            <openaireId>corda_______::3b45c0f904dd7bff10530346ed59d3e2</openaireId>
            <code>323567</code>
            <name>Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds</name>
            <acronym>HARVEST4D</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/335373/EU/Structure-Aware Geometry Processing/SMARTGEOMETRY</infoId>
            <openaireId>corda_______::11dd7d272a74028cb1e299a4b6a55117</openaireId>
            <code>335373</code>
            <name>Structure-Aware Geometry Processing</name>
            <acronym>SMARTGEOMETRY</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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            <name>Scopigno, Roberto</name>
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            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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    <datasets/>
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    </citations>
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<record>
    <identifier>oai:it.cnr:prodotti:358993</identifier>
    <title>Software quality standards and models evolution: Greenness and reliability issues</title>
    <creators>
        <creator>Gordieiev O</creator>
        <creator>Kharchenko V</creator>
        <creator>Fusani M</creator>
    </creators>
    <publisher>Springer International Publishing</publisher>
    <subjects>
        <subject>Software quality model</subject>
        <subject>Metrics</subject>
        <subject>Software metrics</subject>
        <subject>ISO/IEC25010</subject>
        <subject>ISO/IEC9126</subject>
        <subject>Green software</subject>
        <subject>ISO/IEC25023</subject>
        <subject>Software reliability</subject>
        <subject>Structure-semantic analysis</subject>
        <subject>Evolution analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-30246-1_3</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-30246-1_3</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318135</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318135&amp;bitstreamId=db6dbc20-c5cf-4430-bca6-903c6a98f185</url>
        <url hostedBy="link.springer.com" rights="Restricted">https://link.springer.com/chapter/10.1007%2F978-3-319-30246-1_3</url>
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        <doi>10.1007/978-3-319-30246-1_3</doi>
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    <abstract>New attributes (characteristics, requirements) are proposed as an essential part of a software quality model related to green software. It consists of two main attributes, namely resource (energy) saving and sustainability. Evolution of software quality models is analyzed in context of greenness and reliability. In particular, well known software quality models beginning from on the? rst McCall ' s model (1977) to models described in standards ISO/IEC9126 (2001) and ISO/IEC25010 (2010) are analyzed according to green and reliability issues. Comparison of the software quality models is carried out using a special metrics of complexity and technique considering the number of levels and attributes and their semantics. Prediction of complexity for the next software quality model (2020) is ful ? lled and variants of green software attributes inclusion in model are proposed. Metrics for assessment of reliability, green related and other quality attributes are analyzed considering the standards ISO/IEC25023 and ISO/IEC9126. Results of comparing metric sets of for these standards are described.</abstract>
    <source>COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), pp. 38-55</source>
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            <name>Fusani, Mario</name>
            <affiliation code="dnet:pers:280" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
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        <dataset doi="10.1007/978-3-030-00253-4_1" url="https://dx.doi.org/10.1007/978-3-030-00253-4_1">Including Software Aspects in Green IT: How to Create Awareness for Green Software Issues</dataset>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:358994</identifier>
    <title>AAL-SOCIALIZE - Survey of Ethical, Social and Economic impact and evolution</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Socialize</subject>
        <subject>AAL</subject>
        <subject>Elderly</subject>
        <subject>Ethics</subject>
        <subject>Social inclusion</subject>
        <subject>Digital divide</subject>
        <subject>K.4.1 COMPUTERS AND SOCIETY. Public Policy Issues. Ethics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
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        <url hostedBy="deliverables.aal-europe.eu" rights="Restricted">http://deliverables.aal-europe.eu/call-3/socialize</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318136</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318136&amp;bitstreamId=102620b7-0c02-4412-ab63-cfd227969d40</url>
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    <abstract>The deliverable 1.1 entitled "Survey of Ethical, Social and Economic impact and evolution" is subdivided in several paragraphs describing the main relations between ICT and elderly people. The deliverable provides a "PEST" analysis taking into account Political, Economic, Social and Technological aspects underlining the relevance and need to use ICTs for elderly. The report explores the impact of mobile devices, more specifically smart phones and tablets, on the different "classes" of seniors. Tablets and smart phones removed major part of the blocks in accessing new technologies; actual grandfathers and grandmothers using tablets to play social games or to communicate with nephews are no more considered as an exception. The next generation entering the third age is mainly a generation of "digital immigrants" already trained on computing and from that one onward there would be a no more "cultural" barriers.As a consequence relevant part of the document is devoted to the identification of such aspects and proper management of them: granular consent, informed consent, data anonymization, etc. etc. To conclude some guidelines and the foreseen implementation of the findings in SOCIALIZE are provided.</abstract>
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            <name>Miori, Vittorio</name>
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            <name>Russo, Dario</name>
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            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <name>08 Report e Working Paper</name>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:358995</identifier>
    <title>AAL-SOCIALIZE - State of the art tech assessment</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Socialize</subject>
        <subject>AAL</subject>
        <subject>Elderly</subject>
        <subject>AAL frameworks</subject>
        <subject>AAL protocols</subject>
        <subject>AAL security</subject>
        <subject>AAL privacy</subject>
        <subject>K.4.2 COMPUTERS AND SOCIETY. Social Issues</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="deliverables.aal-europe.eu" rights="Restricted">http://deliverables.aal-europe.eu/call-3/socialize</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318137</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318137&amp;bitstreamId=f59e45f3-770a-4b94-af62-062dcb66bee6</url>
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    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Within SOCIALIZE approach the main aim of the technology should be to improve the quality of life and, in particular, of disabled and elderly. This was the main criteria to select some of the most useful technology fitting the SOCIALIZE vision. The progress of the technology in this field was possible in particular for the research works in areas like intelligent building, telematics, computer vision, robotics, artificial intelligence and so on. Moreover, an important contribution for these technological advances is also due for the increase of computational power of systems that become increasingly less expensive. Despite, modern society should use its resources to promote the social integration of elderly people by enabling them to be autonomous and by helping them to gain access to education and working environments. The aim of this deliverable is to: . focus on the current market state of art of the technologies, identifying which of them will be the most promising in two or three years after the end of the project; . focus on the reasons concerning competition and market challenges; . identify technologies used to achieve the aims of Socialize (Model) and technology services chosen because they are particularly suitable to implement the optimal model; . describe technological solutions that will be provided in Socialize taking into account the work done in the previous European projects dealing with ours similar issues, identifying what has been already done and to consider that as a starting point.</abstract>
    <source/>
    <projects/>
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            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:358998</identifier>
    <title>AAL-SOCIALIZE - Use case specification report</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
        <creator orcid="0000-0001-6715-2613">Pillitteri L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Socialize</subject>
        <subject>AAL</subject>
        <subject>Elderly</subject>
        <subject>AAL frameworks</subject>
        <subject>Time Bank</subject>
        <subject>Active Age</subject>
        <subject>Socialization</subject>
        <subject>Forum</subject>
        <subject>Catalogue</subject>
        <subject>Elderly's monitoring</subject>
        <subject>K.4.1 COMPUTERS AND SOCIETY. Public Policy Issues. Privacy</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="deliverables.aal-europe.eu" rights="Restricted">http://deliverables.aal-europe.eu/call-3/socialize</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318139</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318139&amp;bitstreamId=afd8d0bd-83ec-4c36-8662-0a9990f7f456</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The purpose of this document is to provide relevant use case scenarios for the SOCIALIZE project, which will be translated into requirements towards the other work packages. The use case diagram emphasizes goals of the system, not processes. Use case actors are the users who want to achieve those goals. Actors are roles or relationships between users and the system. These roles may be played by systems, people, or devices. Associations are the visual means identifying interactions between actors and use cases or between use cases. Results will be then analyzed from a sociological and economic point of view, so as to derive recommendations for the user acceptance of useful and viable applications as well as the development of a business scenarios.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1318</infoId>
            <name>Pillitteri, Loredana</name>
            <orcid>0000-0001-6715-2613</orcid>
            <affiliation code="dnet:pers:1318" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:358999</identifier>
    <title>A social network specialized for the elderly meets the Social Internet on Things (SIoT) principles</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>SIoT</subject>
        <subject>IoT</subject>
        <subject>Interoperability</subject>
        <subject>SOA</subject>
        <subject>SOCIALIZE</subject>
        <subject>AAL</subject>
        <subject>XML</subject>
        <subject>Web Services</subject>
        <subject>Artificial intelligence applications and expert systems</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318140</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/358999/2016_358999.pdf?id=people______%3A%3A6cb28d8a9e4bb61d5e3a6eb192a0aaf1</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318140/1/prod_358999-doc_117635.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The average age of the world's population is increasing and the life expectancy extends to another 10 years by 2050. The growing number of older adults increases demands on the public health system and of the related care costs. To reduce such costs, the use of information and communication technology (ICT) to support integrated healthcare services in elderly homecare can give an important contribution. The SOCIALIZE AAL project aims to create a new Social Internet of Things framework able to simplify the modalities with which elderly people have access to dedicated services, living in a technology-served environment. The paper describes SocializeNet, the software core of the project. SocializeNet permits the interoperability among the services developed with enabling technologies for the Internet of things, realizing a true social network specialized to the elderly people following W3C recommended standards. Moreover, the paper focuses its attention on the services where intelligent "objects" are able to interoperate without human intervention.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359026</identifier>
    <title>An AmI approach to anticipate home inhabitant's needs</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ambient intelligence</subject>
        <subject>Domotics</subject>
        <subject>Home automation</subject>
        <subject>DomoNet</subject>
        <subject>SOA</subject>
        <subject>AAL</subject>
        <subject>Ontology</subject>
        <subject>Artificial intelligence applications and expert systems</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318582</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359026/2016_359026.pdf?id=people______%3A%3Ad487eb21499316a84b2257fafc54ccd9</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318582/1/prod_359026-doc_117652.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>According to the vision of Ambient Intelligence (AmI), the most advanced technologies are those that disappear: at maturity, computer technology should become invisible. All the objects surrounding us must possess sufficient computing capacity to interact with users, the surroundings and each other. The entire physical environment in which users are immersed should thus be a hidden computer system equipped with the appropriate software in order to exhibit intelligent behavior. The objective of our research is to take steps in this direction by proposing a feasible software application able to learn the behavior and habits of home inhabitants in order to anticipate their needs. The result is an adaptive, context-aware application that works as an integral part of a dedicated middleware designed to make today's heterogeneous, mostly incompatible domotic systems fully interoperable. By applying machine learning techniques, it offers a complete, ready-to-use practical application that learns through interaction with the user in order to improve quality of life in a technological living environment, such as a house, a smart city and so on. Although the proposed solution is currently suitable for application to comfort issues, it also represents an opportunity to provide greater autonomy and safety to disabled and elderly occupants, especially the critically ill, as its results can be utilized in applications that can recognize unusual, potentially hazardous situations. In fact, this modeling process serves as the basis for implementation of an e-health system that can actively contribute to anticipating, and thereby preventing, emergency situations. The prototype has been developed and is currently running at the Pisa CNR laboratory, where a home environment has been faithfully recreated.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:359027</identifier>
    <title>Modal analysis of masonry-like structures</title>
    <creators>
        <creator orcid="0000-0002-7358-5607">Girardi M</creator>
        <creator orcid="0000-0002-2467-569X">Padovani C</creator>
        <creator orcid="0000-0002-3416-771X">Pellegrini D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Masonry-like materials</subject>
        <subject>Modal analysis</subject>
        <subject>Numerical methods</subject>
        <subject>Nonlinear dynamics</subject>
        <subject>Physical sciences and engineering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318583</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318583&amp;bitstreamId=6fa659c4-8ca0-4213-a969-ca9c3f5f1a68</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This paper presents a new numerical tool for evaluating the vibration frequencies and mode shapes of masonry buildings in the presence of cracks. The algorithm has been implemented within the NOSA-ITACA code, which models masonry as a nonlinear elastic material with zero tensile strength. Some case studies are reported, and the differences between linear and nonlinear behaviour highlighted.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
            <orcid>0000-0002-7358-5607</orcid>
            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1106</infoId>
            <name>Padovani, Cristina</name>
            <orcid>0000-0002-2467-569X</orcid>
            <affiliation code="dnet:pers:1106" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:430</infoId>
            <name>Pellegrini, Daniele</name>
            <orcid>0000-0002-3416-771X</orcid>
            <affiliation code="dnet:pers:430" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:359029</identifier>
    <title>CC2530 Firmware for environmental monitoring in smart building application</title>
    <creators>
        <creator orcid="0000-0002-6982-242X">Mavilia F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Environmental monitoring</subject>
        <subject>Distributed wireless sensor networks</subject>
        <subject>Energy monitoring</subject>
        <subject>C.2 COMPUTER-COMMUNICATION NETWORKS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318585</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Source files, drivers and hex files for energy and environmental monitoring of buildings in distributed wireless sensor networks.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:350</infoId>
            <name>Mavilia, Fabio</name>
            <orcid>0000-0002-6982-242X</orcid>
            <affiliation code="dnet:pers:350" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359031</identifier>
    <title>Project files of two electronic boards for environmental monitoring in smart building application</title>
    <creators>
        <creator orcid="0000-0002-6982-242X">Mavilia F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Smart Building application</subject>
        <subject>Energy monitoring</subject>
        <subject>Environmental monitoring</subject>
        <subject>Wireless sensor networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318587</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Schematic, footprints and tracks design, gerber files of two electronic boards for energy and environmental monitoring of buildings in distributed wireless sensor networks</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:350</infoId>
            <name>Mavilia, Fabio</name>
            <orcid>0000-0002-6982-242X</orcid>
            <affiliation code="dnet:pers:350" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359109</identifier>
    <title>The gCube authentication, authorization, and accounting infrastructure</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator orcid="0000-0001-7581-5325">Lelii L</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
        <creator>Pieve A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube</subject>
        <subject>Authentication</subject>
        <subject>Authorization</subject>
        <subject>Accounting</subject>
        <subject>Hybrid Data Infrastructure</subject>
        <subject>K.6.5 Security and Protection</subject>
        <subject>K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318662</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318662&amp;bitstreamId=2eaab35e-d552-4c81-9703-e2ddc305f9dd</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This report describes the gCube solutions implementing its Authentication, Authorization and Accounting Infrastructure. gCube is a software system enabling the realization and operation of hybrid data infrastructures capable of supporting the concept of Virtual Research Environments (VREs), i.e., collaborative, web-based working environments through which community of practice members are provided with the entire spectrum of resources (data, services, and computing facilities) needed to accomplish their research tasks in an effective and efficient manner.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:819</infoId>
            <name>Lelii, Lucio</name>
            <orcid>0000-0001-7581-5325</orcid>
            <affiliation code="dnet:pers:819" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:488</infoId>
            <name>Pieve, Alessandro</name>
            <affiliation code="dnet:pers:488" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:359110</identifier>
    <title>Devising a resource model for an open and heterogeneous data infrastructure: the gCube approach</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube</subject>
        <subject>Information system</subject>
        <subject>Resource model</subject>
        <subject>Information storage and retrieval</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318663</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318663&amp;bitstreamId=2037ed37-73c1-4dd4-8fb0-64a910684375</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This report describes the Resource Model devised to support the operation of a gCube-based Hybrid Data Infrastructure.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:359111</identifier>
    <title>The gCube information system: assessment of enabling technologies</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube</subject>
        <subject>Information System</subject>
        <subject>Information Storage</subject>
        <subject>Information storage and retrieval</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318664</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318664&amp;bitstreamId=412d96e5-30fb-47a1-a06a-d14b678ba60a</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This report describes the gCube assessment of enabling technologies for gCube Information System purpose.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:359112</identifier>
    <title>Certificazione del software fiscale. Un'esperienza italiana di certificazione conforme alla legislazione fiscale.</title>
    <creators>
        <creator orcid="0000-0003-2939-0826">Biscoglio I</creator>
        <creator orcid="0000-0002-6727-5266">Trentanni G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Certificazione</subject>
        <subject>Requisiti</subject>
        <subject>Registratori di cassa</subject>
        <subject>Legislazione</subject>
        <subject>Software/Program verification</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318665</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318665&amp;bitstreamId=9e698569-c4b7-43e9-8dfd-a04be89b6719</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This paper presents the Italian scenario of cash register software certification. The basic concepts of certification are introduced together with involved actors, requirements and possible objects to be certified. Subsequently, the specific kind of fiscal device running fiscal software, that is the cash register, is outlined, and its certification process is described. The current technological adjustments of the cash register software according to the Italian legislation modifications are introduced and discussed.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:844</infoId>
            <name>Biscoglio, Isabella</name>
            <orcid>0000-0003-2939-0826</orcid>
            <affiliation code="dnet:pers:844" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:620</infoId>
            <name>Trentanni, Gianluca</name>
            <orcid>0000-0002-6727-5266</orcid>
            <affiliation code="dnet:pers:620" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:359113</identifier>
    <title>Learning from experience: seamless prediction of inhabitants' needs.</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ambient intelligent</subject>
        <subject>AmI</subject>
        <subject>Association rules</subject>
        <subject>Data mining</subject>
        <subject>DomoNet</subject>
        <subject>Domotics</subject>
        <subject>Home environment</subject>
        <subject>Machine learning</subject>
        <subject>AAL</subject>
        <subject>Applications and expert systems</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318666</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318666&amp;bitstreamId=a435f750-4b47-4878-85b7-e23aded8fa1b</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>According to the vision of Mark Weiser (considered the father of ubiquitous computing), the most advanced technologies are those that disappear: computer technology should become invisible, and all the objects surrounding us must possess sufficient computing capacity to interact with users and their surroundings while the entire physical environment should exhibit intelligent behavior. The objective of our research is to move ahead in this direction by proposing a functional software application able to learn the behavior and habits of home inhabitants in order to anticipate their needs. This software component offers a complete, ready-to-use working application that learns through interaction with the user in order to improve quality of life in a technological living environment, such as a house, a smart city and so on. Although the proposed solution is currently targeting comfort issues, it also represents an opportunity to provide greater autonomy and safety to disabled and elderly occupants, especially in cases of critical illness. The result is an AAL (Ambient Assisted Living) system that can actively contribute to anticipating, and thereby preventing, emergency situations.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:359114</identifier>
    <title>Sistema di monitoraggio, prevenzione e allarme in acqua e in aria</title>
    <creators>
        <creator>Benassi A</creator>
        <creator orcid="0000-0002-7814-5280">Germanese D</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
        <creator orcid="0000-0002-4872-9541">Reggiannini M</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ultrasuoni</subject>
        <subject>Analisi segnale</subject>
        <subject>Allarme</subject>
        <subject>Monitoraggio</subject>
        <subject>Mobile</subject>
        <subject>Special-purpose and application-based systems</subject>
        <subject>Applications</subject>
        <subject>Physical sciences and engineering</subject>
        <subject>Management of computing and information systems</subject>
        <subject>Miscellaneous</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318667</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318667&amp;bitstreamId=c1b49d2f-963d-498a-bb23-78ebe7c505bd</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This report describes the activities carried out to realize a system of monitoring, prevention and alarm in pools or spa environments. The research group of the Laboratory research Signals and Images of the Institute of Science and Information Technologies of the National Research Council realized an experimented a wearable device, for the transmission of an alarm message and a portable device for receiving. The system allows to use the same device for the transmission in air and in water. The conceptual features of the system and its verification of functioning in a real environment are described.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:147</infoId>
            <name>Benassi, Antonio</name>
            <affiliation code="dnet:pers:147" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:168</infoId>
            <name>Reggiannini, Marco</name>
            <orcid>0000-0002-4872-9541</orcid>
            <affiliation code="dnet:pers:168" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:359115</identifier>
    <title>Non-collision probability of a subset of users in DSA systems</title>
    <creators>
        <creator orcid="0000-0002-3704-4133">Cassarà P.</creator>
        <creator>Celandroni N.</creator>
        <creator orcid="0000-0002-8134-7844">Gotta A.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>DSA</subject>
        <subject>M2M</subject>
        <subject>C.2 COMPUTER-COMMUNICATION NETWORKS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318668</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318668&amp;bitstreamId=3380292c-a523-4420-8fe9-abf55951297f</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This paper presents an exact formula to calculate the probability of the number of successful or dually collided users in finite-user slotted-ALOHA-like systems and to approximate the number of collisions per frame. Such a formula can be employed to estimate the performance in random access schemes with variable and unpredictable traffic load as for machine-to-machine (M2M) communications on wireless sensor networks. Numerical results show the accuracy of the model and its employment for deriving the performance of a Diversity-Slotted-ALOHA system.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:322</infoId>
            <name>Cassarà, Pietro</name>
            <orcid>0000-0002-3704-4133</orcid>
            <affiliation code="dnet:pers:322" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:318</infoId>
            <name>Celandroni, Nedo</name>
            <affiliation code="dnet:pers:318" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:744</infoId>
            <name>Gotta, Alberto</name>
            <orcid>0000-0002-8134-7844</orcid>
            <affiliation code="dnet:pers:744" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>08.07 Working paper</name>
            <acronym>08.07 Working paper</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:359116</identifier>
    <title>Monitoraggio dinamico e modellazione strutturale di edifici storici nel territorio lucchese: il progetto MONSTER</title>
    <creators>
        <creator orcid="0000-0002-3416-771X">Pellegrini D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Monitoraggio dinamico; Edifici in muratura; Identificazione dinamica; Modellazione numerica; J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to conference</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318669</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359116/2016_359116.pdf?id=people______%3A%3Abcd1e3108b5db9256461b840b0d0d12e</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318669/1/prod_359116-doc_117718.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Dynamic monitoring and structural modelling of historic buildings in the territory of Lucca: the MONSTER project</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:430</infoId>
            <name>Pellegrini, Daniele</name>
            <orcid>0000-0002-3416-771X</orcid>
            <affiliation code="dnet:pers:430" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
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    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_49</code>
            <name>04.03 Poster in Atti di convegno</name>
            <acronym>04.03 Poster in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:359117</identifier>
    <title>gCube Information System</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Information Systems</subject>
        <subject>gCube</subject>
        <subject>Graph Database</subject>
        <subject>OrientDB</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/318670</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The gCube Information System (shortly, IS) delivers functionalities for publishing, discovering, and monitoring the set of resources forming the infrastructure. Moreover it allows to federate different infrastructures. It acts as the registry of the infrastructure, i.e. all the resources are registered in the IS and every service partaking in the infrastructure must refer to it to dynamically discover the other infrastructure constituents. Moreover, the approach provided by the IS is of great support for the dynamic deployment capabilities of gCube.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359118</identifier>
    <title>Open-Access repositories and the Open Science challenge</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Open Science Repository</subject>
        <subject>Open Science</subject>
        <subject>Open Access</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ercim-news.ercim.eu" rights="Open Access">https://ercim-news.ercim.eu/en107/r-s/open-access-repositories-and-the-open-science-challenge</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318671</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318671/1/prod_359118-doc_117719.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The open-access movement is promoting free-of-restriction access to, and use of, research outcomes. It is a key aspect of the open-science movement, which is pushing for the research community to go 'beyond papers'. This new paradigm calls for a new generation of repositories that are: (i) capable of smartly interfacing with the wealth of research infrastructure and services that scientists rely on, thus being able to intercept and publish research products, (ii) able to provide researchers with social networking tools for discovery, notification, sharing, discussion, and assessment of research products.</abstract>
    <source>ERCIM NEWS, vol. 107, pp. 11-12</source>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:359119</identifier>
    <title>Shape Retrieval of Non-rigid 3D Human Models</title>
    <creators>
        <creator>Pickup D.</creator>
        <creator>Sun X.</creator>
        <creator>Rosin P. L.</creator>
        <creator>Martin R. R.</creator>
        <creator>Cheng Z.</creator>
        <creator>Lian Z.</creator>
        <creator>Aono M.</creator>
        <creator>Hamza A. B.</creator>
        <creator>Bronstein A.</creator>
        <creator>Bronstein M.</creator>
        <creator>Bu S.</creator>
        <creator>Castellani U.</creator>
        <creator>Cheng S.</creator>
        <creator orcid="0000-0002-9527-4594">Garro V.</creator>
        <creator>Giachetti A.</creator>
        <creator>Godil A.</creator>
        <creator>Isaia L.</creator>
        <creator>Han J.</creator>
        <creator>Johan H.</creator>
        <creator>Lai L.</creator>
        <creator>Li B.</creator>
        <creator>Li C.</creator>
        <creator>Li H.</creator>
        <creator>Litman R.</creator>
        <creator>Liu X.</creator>
        <creator>Liu Z.</creator>
        <creator>Lu Y.</creator>
        <creator>Sun L.</creator>
        <creator>Tam G.</creator>
        <creator>Tatsuma A.</creator>
        <creator>Ye J.</creator>
    </creators>
    <publisher>Springer, Netherlands, Paesi Bassi</publisher>
    <subjects>
        <subject>3D humans</subject>
        <subject>Computer Science - Machine Learning</subject>
        <subject>Machine Learning (stat.ML)</subject>
        <subject>Statistics - Machine Learning</subject>
        <subject>Artificial Intelligence</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>QA75</subject>
        <subject>Information Retrieval (cs.IR)</subject>
        <subject>Computer Vision and Pattern Recognition (cs.CV)</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Computer Science - Information Retrieval</subject>
        <subject>Non-rigid 3D shape retrieval</subject>
        <subject>3D shape retrieval</subject>
        <subject>Benchmark</subject>
        <subject>Software</subject>
        <subject>Machine Learning (cs.LG)</subject>
        <subject>Computer Science - Computer Vision and Pattern Recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::d22a5d0002dabc70f95d7d8f2cf3d4a2</documentPage>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/2003.08763</url>
        <url hostedBy="Cronfa at Swansea University" rights="Open Access">https://cronfa.swan.ac.uk/Record/cronfa27814/Download/27814__17579__964a7cfbe7d24b37b144372f19a8df00.pdf</url>
        <url hostedBy="International Journal of Computer Vision" rights="Open Access">https://doi.org/10.1007/s11263-016-0903-8</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s11263-016-0903-8</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/article/10.1007/s11263-016-0903-8</url>
        <url hostedBy="International Journal of Computer Vision" rights="Open Access">https://link.springer.com/content/pdf/10.1007%2Fs11263-016-0903-8.pdf</url>
        <url hostedBy="CORE (RIOXX-UK Aggregator)" rights="Open Access">https://orca.cardiff.ac.uk/89014/7/art%3A10.1007%2Fs11263-016-0903-8b.pdf</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.2003.08763</url>
        <url hostedBy="Fraunhofer-ePrints" rights="not available">https://publica.fraunhofer.de/handle/publica/246998</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/359119</url>
    </urls>
    <dois>
        <doi>10.1007/s11263-016-0903-8</doi>
        <doi>10.48550/arxiv.2003.08763</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provided a benchmark for testing non-rigid 3D shape retrieval algorithms on 3D human models. This benchmark provided a far stricter challenge than previous shape benchmarks. We have added 145 new models for use as a separate training set, in order to standardise the training data used and provide a fairer comparison. We have also included experiments with the FAUST dataset of human scans. All participants of the previous benchmark study have taken part in the new tests reported here, many providing updated results using the new data. In addition, further participants have also taken part, and we provide extra analysis of the retrieval results. A total of 25 different shape retrieval methods are compared.</abstract>
    <source>International Journal of Computer Vision 120 (2016): 169–193. doi:10.1007/s11263-016-0903-8</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/UKRI/EPSRC/EP%2FJ02211X%2F1/GB/Robust and Sensitive Methods for Non-rigid and Partial 3D model Retrieval/</infoId>
            <openaireId>ukri________::353c8f529c57e7a95265ae62bd46c0af</openaireId>
            <code>EP/J02211X/1</code>
            <name>Robust and Sensitive Methods for Non-rigid and Partial 3D model Retrieval</name>
            <acronym/>
            <funder>UKRI</funder>
            <program>EPSRC</program>
            <jurisdiction>GB</jurisdiction>
        </project>
        <project>
            <openaireId>corda_______::ef7e00e5d533007f5b811e74d2cc6779</openaireId>
            <code>607737</code>
            <name>a Virtual Studio for Security Concepts and Operations</name>
            <acronym>VASCO</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:431</infoId>
            <name>Garro, Valeria</name>
            <orcid>0000-0002-9527-4594</orcid>
            <affiliation code="dnet:pers:431" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
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<record>
    <identifier>oai:it.cnr:prodotti:359125</identifier>
    <title>Assessing the security of buildings: a virtual studio solution</title>
    <creators>
        <creator>Ahmad A</creator>
        <creator>Balet O</creator>
        <creator>Boin A</creator>
        <creator>Castet J</creator>
        <creator>Donnelley M</creator>
        <creator orcid="0000-0002-0378-9188">Ganovelli F</creator>
        <creator>Kokkinis G</creator>
        <creator>Pintore G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>security</subject>
        <subject>K.4.3 Computer-supported collaborative work</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318677</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318677/1/prod_359125-doc_117728.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This paper presents an innovative IT solution, a virtual studio, enabling security professionals to formulate, test and adjust security measures to enhance the security of critical buildings. The concept is to virtualize the environment, enabling experts to examine and assess and improve on a buildingâEUR(TM)s security in a cost-effective and risk-free way. Our virtual studio solution makes use of the latest advances in computer graphics to reconstruct accurate blueprints as well as 3D representations of entire buildings in a very short timeframe. In addition, our solution enables the creation and simulation of multiple threat situations, allowing users to assess security procedures and various responses. Furthermore, we present a novel device, tailored to support collaborative security planning needs. Security experts from various disciplines evaluated our virtual studio solution, and their analysis is presented in this paper.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::ef7e00e5d533007f5b811e74d2cc6779</openaireId>
            <code>607737</code>
            <name>a Virtual Studio for Security Concepts and Operations</name>
            <acronym>VASCO</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1548</infoId>
            <name>Ganovelli, Fabio</name>
            <orcid>0000-0002-0378-9188</orcid>
            <affiliation code="dnet:pers:1548" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:359127</identifier>
    <title>3D objects exploration: guidelines for future research</title>
    <creators>
        <creator orcid="0000-0002-9992-825X">Biasotti S</creator>
        <creator orcid="0000-0002-9522-2874">Falcidieno B</creator>
        <creator orcid="0000-0002-6752-6918">Giorgi D</creator>
        <creator orcid="0000-0002-5682-6990">Spagnuolo M</creator>
    </creators>
    <publisher>The Eurographics Association</publisher>
    <subjects>
        <subject>3D retrieval</subject>
        <subject>3D shape description</subject>
        <subject>3D data analysis</subject>
        <subject>Categories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.6]: Methodology and Techniques</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/3dor20161081</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/3dor.20161081</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318679</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318679&amp;bitstreamId=2dc4cccc-5f6c-42fd-9592-d4d62766d95d</url>
    </urls>
    <dois>
        <doi>10.2312/3dor.20161081</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Search engines provide the interface to interact with 3D object repositories, which are rapidly growing in both number and size. This position paper presents the current state of the art on 3D dataset navigation and 3D model retrieval. We discuss a number of challenges we consider as the main points to be tackled for developing effective 3D object exploration systems.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:943</infoId>
            <name>Giorgi, Daniela</name>
            <orcid>0000-0002-6752-6918</orcid>
            <affiliation code="dnet:pers:943" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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    <datasets>
        <dataset doi="10.2312/3dor.20161081" url="https://dx.doi.org/10.2312/3dor.20161081">3D Objects Exploration: Guidelines for Future Research</dataset>
    </datasets>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou240</code>
            <name>Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -</name>
            <acronym>Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:359128</identifier>
    <title>An Empirical Study on Software Testing Practices in Automotive</title>
    <creators>
        <creator orcid="0000-0003-2960-5241">Lami G</creator>
        <creator orcid="0000-0003-2939-0826">Biscoglio I</creator>
        <creator orcid="0000-0002-0864-6266">Falcini F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Software testing</subject>
        <subject>Automotive SPICE (R)</subject>
        <subject>Software process improvement</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification</subject>
        <subject>Automotive</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-38980-6_22</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-38980-6_22</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318680</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318680&amp;bitstreamId=1eeac867-b70f-4247-b2c2-e4e17f6fc501</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-38980-6_22</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-38980-6_22</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>This paper presents the results of an empirical study aimed at characterizing and analyzing recurrent software development weaknesses in automotive industry. In the automotive domain software development is mainly demanded to specialized software suppliers that are required by car makers to improve and measure the process quality of their projects by applying process models such as Automotive SPICE (TM). The authors, as Automotive SPICE assessors, have directly recorded and identified specific software process improvement opportunities on the basis of the evidences gathered from real software development projects during a significant number of assessments performed at several organizations world-wide. This paper, that focuses specifically on the software testing-related processes, is a step of a wider study that the authors are carrying out. Such a study aims at identifying, using data from real automotive software development projects, common software development weaknesses having negative impact according Automotive SPICE (TM), in order to derive a picture of the state of the practice of software development in automotive and to provide researchers and practitioners with a reference for improvement initiatives aimed at solving those weaknesses.</abstract>
    <source>COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT), vol. 609, pp. 301-315. Dublin, Ireland, 9-10 June 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:844</infoId>
            <name>Biscoglio, Isabella</name>
            <orcid>0000-0003-2939-0826</orcid>
            <affiliation code="dnet:pers:844" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:434</infoId>
            <name>Falcini, Fabio</name>
            <orcid>0000-0002-0864-6266</orcid>
            <affiliation code="dnet:pers:434" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1540</infoId>
            <name>Lami, Giuseppe</name>
            <orcid>0000-0003-2960-5241</orcid>
            <affiliation code="dnet:pers:1540" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:359130</identifier>
    <title>Enhancing business process performance analysis through coverage-based monitoring</title>
    <creators>
        <creator orcid="0000-0001-5502-303X">Calabrò A.</creator>
        <creator orcid="0000-0002-4864-2219">Lonetti F.</creator>
        <creator orcid="0000-0003-4223-8036">Marchetti E.</creator>
        <creator orcid="0000-0002-7771-0882">Spagnolo G.  O.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>BPMN</subject>
        <subject>D.2.5 SOFTWARE ENGINEERING. Testing and Debugging. Monitors</subject>
        <subject>D.4.8 OPERATING SYSTEMS. Performance. Monitors</subject>
        <subject>Performance analysis</subject>
        <subject>Monitoring</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/quatic.2016.015</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/quatic.2016.015</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318682</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">https://ieeexplore.ieee.org/document/7814512</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318682&amp;bitstreamId=46e0914d-cb35-4f11-8d30-009e331855a7</url>
    </urls>
    <dois>
        <doi>10.1109/quatic.2016.015</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Currently, Business Process Model and Notation (BPMN) has becoming one of the main languages for creating a description of processes and developing executable frameworks for the management of the process itself. In this context, one important aspect of process management is the possibility of process analysis and optimization, which many times relies on real data collected during the process execution itself. This paper goes in this direction and presents a framework for performance analysis and optimization of the business process expressed in BPMN. It focuses on the collection and evaluation of time based and cost based parameters and relies on an adaptable and flexible event based monitoring infrastructure. In particular, it implements some business process path coverage metrics useful for evidencing business process criticalities and possible improvements of the business process execution. A first validation on a case study is also presented.</abstract>
    <source/>
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        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:129</infoId>
            <name>Calabrò, Antonello</name>
            <orcid>0000-0001-5502-303X</orcid>
            <affiliation code="dnet:pers:129" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:388</infoId>
            <name>Lonetti, Francesca</name>
            <orcid>0000-0002-4864-2219</orcid>
            <affiliation code="dnet:pers:388" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:639</infoId>
            <name>Marchetti, Eda</name>
            <orcid>0000-0003-4223-8036</orcid>
            <affiliation code="dnet:pers:639" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:359131</identifier>
    <title>Revisiting the cataloged debris collision risk for the Iridium and Cosmo-skymed satellite constellations</title>
    <creators>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
    </creators>
    <publisher>International Astronautical Federation (IAF)</publisher>
    <subjects>
        <subject>Space debris</subject>
        <subject>Fragmentations</subject>
        <subject>Fengyun 1C</subject>
        <subject>Cosmos 2251</subject>
        <subject>Iridium 33</subject>
        <subject>Debris flux evolution</subject>
        <subject>Low Earth orbit</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318683</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359131/2016_%20359131.published.pdf?id=people______%3A%3Abd8ac7a664dbea55b8776c17dc77fba1</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318683/1/prod_359131-doc_117737.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>After two decades of slightly declining growth rate, the population of cataloged debris around the Earth increased by more than 56% in just a couple of years, from January 2007 to February 2009, due to two collisions in space involving the catastrophic destruction of three intact satellites (Fengyun 1C, Cosmos 2251 and Iridium 33) in high inclination orbits. Both events had occurred in the altitude range already most affected by previous launch activity and breakups. In 2011 a detailed analysis had been carried out to analyze the consequences of these fragmentations, in particular concerning the evolution of the collision risk for the Iridium and COSMO-SkyMed satellite constellations. Five years after such first assessment, the cataloged debris environment affecting the two constellations was revisited to evaluate how the situation had evolved due to the varying contribution of the above mentioned breakup fragments and the space activities carried out in the meantime. Being distributed, at 778 km, over six nearly polar orbit planes separated by just 30° at the equator, the Iridium satellites represent a very good gauge for checking the evolution of the debris environment in the most critical low Earth region. In approximately five years, from May 2011 to June 2016, the average debris flux on the Iridium satellites increased by about 14%, to 1.59 x 10-5 m-2 per year. The cataloged fragments of Fengyun 1C, Cosmos 2251 and Iridium 33 still accounted for, on average, 54% of the total flux. More than 39% of the latter was associated with the Fengyun 1C fragments, about 11% with the Cosmos 2251 fragments and less than 4% with the Iridium 33 fragments. Specifically concerning the mutual interaction among the Iridium 33 debris and the parent constellation, the progressive dispersion and rather fast decay of the fragments below the Iridium operational altitude, coupled with a slow differential plane precession and low average relative velocities with respect to four of the six constellation planes, determined in five years, on average, a decline of the flux by about 31%, i.e. to about 5.75 x 10-7 m-2 per year. The decrease occurred in each constellation plane, even though with different rates and percentages, due to the varying relative orbit geometry. From May 2011 to June 2016, the mean debris flux on the COSMO-SkyMed satellites, at 623 km, increased by about 26%, to 7.24 x 10-6 m-2 per year. The Fengyun 1C, Cosmos 2251 and Iridium 33 cataloged fragments accounted for, on average, about 1/4 of the total, with 12% due to Fengyun 1C, 8% to Cosmos 2251 and 4% to Iridium 33.</abstract>
    <source>INTERNATIONAL ASTRONAUTICAL CONGRESS: IAC PROCEEDINGS. Guadalajara, Mexico, 26-30 September 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359132</identifier>
    <title>The uncontrolled reentry of Progress-M 27M</title>
    <creators>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Satellite reentry </subject>
        <subject>Civil protection applications</subject>
        <subject>Ground safety</subject>
        <subject>Risk windows definition</subject>
        <subject>Progress-M 27M</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318684</url>
        <url hostedBy="iaass.space-safety.org" rights="Open Access">http://iaass.space-safety.org/wp-content/uploads/sites/24/2012/12/PROCEEDINGS-OF-THE-8TH-INTERNATIONAL-SPACE-SAFETY-CONFERENCE-preview.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359132/2016_359132_postprint.pdf?id=people______%3A%3A79b53d7a6368e25c949641a9bc117458</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318684/1/prod_359132-doc_117738.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318684/2/prod_359132-doc_159781.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Uncontrolled reentries of sizable space objects are becoming of growing concern due to the increase of space activities around the Earth and population on the ground. After providing an updated review of various aspects of the problem, this paper presents the exemplar case of Progress-M 27M, whose control was lost immediately after launch, on April 28, 2015, and which reentered on May 8. As in similar previous occurrences, the Space Flight Dynamics Laboratory of ISTI/CNR, in Pisa, was in charge of reentry predictions for the Italian civil protection authorities and space agency. The first prediction was issued in the morning of April 30, in the morning of May 7 the only potentially risky reentry trajectory over central Italy was identified, and in the afternoon of May 7, about 12 hours before the actual reentry, any residual risk for Europe and Italy was finally excluded.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359133</identifier>
    <title>Omnidirectional image capture on mobile devices for fast automatic generation of 2.5D indoor maps</title>
    <creators>
        <creator>Pintore G</creator>
        <creator>Garro V</creator>
        <creator orcid="0000-0002-0378-9188">Ganovelli F</creator>
        <creator>Gobbetti E</creator>
        <creator>Agus M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Visualization</subject>
        <subject>Digitization</subject>
        <subject>I.3.3 COMPUTER GRAPHICS. Picture/Image Generation. Digitizing and scanning</subject>
        <subject>Mobile reconstruction</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/wacv.2016.7477631</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/wacv.2016.7477631</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318685</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">https://ieeexplore.ieee.org/document/7477631</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318685&amp;bitstreamId=149e543c-e323-4cad-89c6-42e780d3df66</url>
    </urls>
    <dois>
        <doi>10.1109/wacv.2016.7477631</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We introduce a light-weight automatic method to quickly capture and recover 2.5D multi-room indoor environments scaled to real-world metric dimensions. To minimize the user effort required, we capture and analyze a single omni-directional image per room using widely available mobile devices. Through a simple tracking of the user movements between rooms, we iterate the process to map and reconstruct entire floor plans. In order to infer 3D clues with a minimal processing and without relying on the presence of texture or detail, we define a specialized spatial transform based on catadioptric theory to highlight the room's structure in a virtual projection. From this information, we define a parametric model of each room to formalize our problem as a global optimization solved by Levenberg-Marquardt iterations. The effectiveness of the method is demonstrated on several challenging real-world multi-room indoor scenes.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::ef7e00e5d533007f5b811e74d2cc6779</openaireId>
            <code>607737</code>
            <name>a Virtual Studio for Security Concepts and Operations</name>
            <acronym>VASCO</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1548</infoId>
            <name>Ganovelli, Fabio</name>
            <orcid>0000-0002-0378-9188</orcid>
            <affiliation code="dnet:pers:1548" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359135</identifier>
    <title>Automating large 3D dataset publication in a web-based multimedia repository</title>
    <creators>
        <creator orcid="0000-0003-4644-4638">Potenziani M</creator>
        <creator>Fritsch B</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Web publishing and visualization</subject>
        <subject>Online 3D Content</subject>
        <subject>3D Graphics</subject>
        <subject>WebGL</subject>
        <subject>Cultural Heritage</subject>
        <subject>H.3.7 INFORMATION STORAGE AND RETRIEVAL. Digital Libraries</subject>
        <subject>H.5.1 INFORMATION INTERFACES AND PRESENTATION. Multimedia Information Systems</subject>
        <subject>H.5.1 INFORMATION INTERFACES AND PRESENTATION. Group and Organization Interfaces-Web-based interaction</subject>
        <subject>I.3.4 COMPUTER GRAPHICS. Graphics Utilities. Application packages</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318687</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318687&amp;bitstreamId=d4e5b76f-cc4c-4074-bd0a-9a9c364f20e1</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Online publishing of almost every type of 3D data has become a quasi-standard routine. Nevertheless, the integration in a web page of a single 3D model, or of a predefined restricted set of models, raises different issues compared to an efficient and effective integration of thousands of them in an online repository. In this case it is mandatory to have an automatized pipeline to prepare and homogenize the dataset. The pipeline should be able to automatically wrap 3D data in all conditions, and display every single model with the best scene setup without any (or with a minimal) interaction by the database maintainers. This paper, retracing the steps of a recent real application case, aims at showing all the faced issues (and the adopted solutions) to publish a large and heterogeneous three-dimensional dataset in a web specialized repository. We want to introduce a valid and reusable strategy, starting from the description of the pipeline adopted for data pre-processing and moving to the choices made in the 3D viewer implementation. The paper concludes with a discussion on the actual state of the integration of 3D data with the other multimedia informative layers.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8476ce415d05fc3b21567049e8eb2a33</openaireId>
            <code>313193</code>
            <name>Advanced Research Infrastructure for Archaeological Dataset Networking in Europe</name>
            <acronym>ARIADNE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:328</infoId>
            <name>Potenziani, Marco</name>
            <orcid>0000-0003-4644-4638</orcid>
            <affiliation code="dnet:pers:328" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359138</identifier>
    <title>The effect of the GNSS disposal strategies on the long term evolution of the MEO region</title>
    <creators>
        <creator>Rossi A</creator>
        <creator orcid="0000-0001-6693-0014">Alessi E M</creator>
        <creator>Valsecchi G</creator>
        <creator>Lewis H G</creator>
        <creator>Colombo C</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Deleflie F</creator>
        <creator>Merz K</creator>
    </creators>
    <publisher>International Astronautical Federation (IAF)</publisher>
    <subjects>
        <subject>Global Navigation Satellite Systems</subject>
        <subject>Long term evolution</subject>
        <subject>Collision Risk</subject>
        <subject>Mitigation measures</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318690</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359138/2016_359138.published.pdf?id=people______%3A%3A147714f1e112e727c7f657fa66b4fc35</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318690/1/prod_359138-doc_117746.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The analysis of different disposal strategies for the spacecraft belonging to the Global Navigation Satellite Systems (GNSS), with particular emphasis on the European Galileo system is the aim of this study. The results of numerical simulations of the long term evolution scenarios, implementing different disposal strategies, are shown and discussed. A detailed analysis of the collision risk and manoeuvres need, related to the different scenarios, was performed. In terms of the long term evolution, the scenarios where the orbital instabilities are exploited to remove the objects from the operational regions seems favourite. That is, if the focus is on the long term sustainability of the space environment, the possibility to dilute the collision risk and to aim at the re-entry in the atmosphere of a subset of the disposed GNSS spacecraft is the most attractive. The most "problematic" constellations are Glonass and Beidou. This conclusion is driven by the future launch traffic hypothesized for these constellations and by the past practices that left already a significant number of large uncontrolled spacecraft in the constellation orbital zone, in the case of Glonass. On the other hand, the Galileo constellation is well detached from the others and faces the lowest collision risks. The Stable scenarios seems to minimize the interactions (crossings) with the operational constellations and, therefore, might be preferred for operational reasons. In particular, in the Stable scenarios the inter-constellations interaction is negligible. Particular care should be devoted to the efficiency and reliability of the disposal manoeuvers. A significant share of the collision risk faced by the operational satellites in every simulated scenario can be traced back to the "failed" satellites (the success rate of the disposal manoeuvers was assumed to be 90% for all the constellations).</abstract>
    <source>INTERNATIONAL ASTRONAUTICAL CONGRESS: IAC PROCEEDINGS. Guadalajara, Mexico, 26-30 September 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:330</infoId>
            <name>Alessi, Elisa Maria</name>
            <orcid>0000-0001-6693-0014</orcid>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou205</code>
            <name>Istituto di Fisica Applicata - IFAC</name>
            <acronym>Istituto di Fisica Applicata - IFAC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359143</identifier>
    <title>Learning path specification for workplace learning based on business process management</title>
    <creators>
        <creator>Subramanian V</creator>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>J.1 ADMINISTRATIVE DATA PROCESSING</subject>
        <subject>Monitor</subject>
        <subject>Learning path</subject>
        <subject>K.3.1 COMPUTERS IN EDUCATION. Computer Uses in Education</subject>
        <subject>Workplace learning</subject>
        <subject>Business process management</subject>
        <subject>D.2.1 SOFTWARE ENGINEERING. Requirements/Specifications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Open Access">https://doi.org/10.5220/0005815301720180</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5220/0005815301720180</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318694</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359143/2016_359143.preprint.pdf?id=people______%3A%3A73a41e9d049f46bf247651017f057657</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359143/2016_359143.published.pdf?id=people______%3A%3A73a41e9d049f46bf247651017f057657</url>
        <url hostedBy="www.scitepress.org" rights="Open Access">https://www.scitepress.org/Link.aspx?doi=10.5220/0005815301720180</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318694/1/prod_359143-doc_117749.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318694/2/prod_359143-doc_166261.pdf</url>
    </urls>
    <dois>
        <doi>10.5220/0005815301720180</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In modern society, workers are continuously challenged to acquire new skills and competencies while at work. Novel approaches and tools to support effective and efficient workplace learning in collaborative and engaging ways are needed. On the other hand, Business Process Management (BPM) is more and more employed to support and manage the complex processes carried out within organizations. We propose to use BPM also to drive workplace learning, with the advantage of aligning real tasks to training tasks. We introduce a specification of learning path that maps BPM tasks and activities into sequences of learning tasks that can be customized to learners competence. The learning path specification can be used to both drive learning sessions, and to inform a monitor that can assess learner's progress. We describe a platform that is under development, and provide a simple motivational example to illustrate the approach. The goal is to combine work and learning in natural and effective way.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
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        <citation>Calabro, A., Lonetti, F., and Marchetti, E. (2015). Monitoring of business process execution based on performance indicators. In Software Engineering and Advanced Applications (SEAA), 2015 41st Euromicro Conference on, pages 255-258. IEEE.</citation>
        <citation>Clement, J. (2000). Model based learning as a key research area for science education. International Journal of Science Education, 22(9):1041-1053.</citation>
        <citation>Drools Fusion 6.0.3 (2015). Drools Fusion: Complex Event Processor. http://www.jboss.org/drools/droolsfusion.html. Last Accessed: 27th November 2015.</citation>
        <citation>IBM-BPM (2009). Ibm-bpm success stories whitepaper. [Online; accessed 11-February-2016].</citation>
        <citation>IMS-Global (2003). Ims- learnind design. [Online; accessed 7-November-2015].</citation>
        <citation>Janssen, J., Berlanga, A., Vogten, H., and Koper, R. (2008a). Towards a learning path specification. International journal of continuing engineering education and life long learning, 18(1):77-97.</citation>
        <citation>Janssen, J., Hermans, H., Berlanga, A. J., and Koper, R. (2008b). Learning path information model. Retrieved November, 9:2008.</citation>
        <citation>Karampiperis, P. and Sampson, D. (2007). Towards a common graphical language for learning flows: Transforming bpel to ims learning design level a representations. In Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on, pages 798-800. IEEE.</citation>
        <citation>Koetter, F. and Kochanowski, M. (2012). Goal-oriented model-driven business process monitoring using progoalml. In Business Information Systems, pages 72- 83. Springer.</citation>
        <citation>Lin, J., Ho, C., Sadiq, W., and Orlowska, M. E. (2002). Using workflow technology to manage flexible elearning services. Journal of Educational Technology &amp; Society, 5(4):116-123.</citation>
        <citation>Mari n˜o, O., Casallas, R., Villalobos, J., Correal, D., and Contamines, J. (2007). Bridging the gap between elearning modeling and delivery through the transformation of learnflows into workflows. In E-Learning Networked Environments and Architectures, pages 27-59. Springer.</citation>
        <citation>Penalvo, F. J. G., Zangrando, V., Holgado, A. G., Gonzalez, M. A. C., Pardo, A. S., Griffiths, D., Forment, M. A., Mykowska, A., Janssen, J., Alves, G. R., et al. (2012). Trailer project overview: Tagging, recognition and acknowledgment of informal learning experiences. In Computers in Education (SIIE), 2012 International Symposium on, pages 1-6. IEEE.</citation>
        <citation>Rademakers, T. (2012). Activiti in Action: Executable business processes in BPMN 2.0. Manning Publications Co.</citation>
        <citation>Subramanian, V. and Bertolino, A. (2016). Monitoring of learning path for business process models. In AMARETTO - International Workshop on domAin specific Model-based AppRoaches to vErificaTion and validaTiOn. SciTePress.</citation>
        <citation>van der Aalst, W., ter Hofstede, A., and Weske, M. (2003). Business process management: A survey. In van der Aalst, W. and Weske, M., editors, Business Process Management, volume 2678 of Lecture Notes in Computer Science, pages 1-12. Springer Berlin Heidelberg.</citation>
        <citation>Van Der Aalst, W. and Van Hee, K. M. (2004). Workflow management: models, methods, and systems. MIT press.</citation>
        <citation>Van Der Aalst, W. M., Ter Hofstede, A. H., and Weske, M. (2003). Business process management: A survey. In Business process management, pages 1-12. Springer.</citation>
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    </citations>
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        <inCollection>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:359170</identifier>
    <title>Conditions for compatibility of components: the case of masters and slaves</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Carmona J</creator>
        <creator>Kleijn J</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Systems-of-systems</subject>
        <subject>Synchronisation policy</subject>
        <subject>E.4 CODING AND INFORMATION THEORY. Formal models of communication</subject>
        <subject>Correct communications</subject>
        <subject>Construction engineering</subject>
        <subject>Team automata</subject>
        <subject>F.1.1 COMPUTATION BY ABSTRACT DEVICES. Models of Computation. Automata</subject>
        <subject>Machine theory</subject>
        <subject>F.1.2 COMPUTATION BY ABSTRACT DEVICES. Modes of Computation. Parallelism and concurrency</subject>
        <subject>H.3.4 INFORMATION STORAGE AND RETRIEVAL. Systems and Software. Distributed systems</subject>
        <subject>Correct-by-construction</subject>
        <subject>Reactive components</subject>
        <subject>Program verification</subject>
        <subject>Màquines</subject>
        <subject>Teoria de</subject>
        <subject>Master-slave synchronisations</subject>
        <subject>Multi-component systems</subject>
        <subject>Automata theory</subject>
        <subject>Multicomponent systems</subject>
        <subject>Communication behaviour</subject>
        <subject>Correctby</subject>
        <subject>:Informàtica::Informàtica teòrica [Àrees temàtiques de la UPC]</subject>
        <subject>Compatibility</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47166-2_55</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321020</url>
        <url hostedBy="Recolector de Ciencia Abierta, RECOLECTA" rights="Open Access">http://hdl.handle.net/2117/100199</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F978-3-319-47166-2_55</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359170/2016_359170.postprint.pdf?id=people______%3A%3A29c016b5b2a404358a892d65dabcab15</url>
        <url hostedBy="upcommons.upc.edu" rights="Open Access">https://upcommons.upc.edu/bitstream/2117/100199/3/ISoLA2016_086_final_v1-1.pdf</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47166-2_55</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321020/2/prod_359170-doc_157002.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321020&amp;bitstreamId=0e0b724c-dd55-4297-9ba7-eda0d194172e</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47166-2_55</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We consider systems composed of reactive components that collaborate through synchronised execution of common actions. These multi-component systems are formally represented as team automata, a model that allows a wide spectrum of synchronisation policies to combine components into higher-level systems. We investigate the correct-by-construction engineering of such systems of systems from the point of view of correct communications between the components (no message loss or deadlocks due to indefinite waiting). This leads to a proposal for a generic definition of compatibility of components relative to the adopted synchronisation policy. This definition appears to be particularly appropriate for so-called master-slave synchronisations by which input actions (for 'slaves') are driven by output actions (from 'masters').</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
            <orcid>0000-0002-2930-6367</orcid>
            <affiliation code="dnet:pers:566" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:566" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359173</identifier>
    <title>Variability-based design of services for smart transportation systems</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Fantechi A</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator>Semini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Variability analysis</subject>
        <subject>D.2 SOFTWARE ENGINEERING</subject>
        <subject>Bike-sharing systems</subject>
        <subject>Machine learning</subject>
        <subject>D.2.13 SOFTWARE ENGINE</subject>
        <subject>Multi-objective optimization</subject>
        <subject>Smart transportation</subject>
        <subject>D.2.13 SOFTWARE ENGINEERING. Reusable Software. Domain engineering</subject>
        <subject>G.1.6 NUMERICAL ANALYSIS. Optimization</subject>
        <subject>Quantitative analysis</subject>
        <subject>I.2.6 ARTIFICIAL INTELLIGENCE. Learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47169-3_38</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321023</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F978-3-319-47169-3_38</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359173/2016_359173.postprint.pdf?id=people______%3A%3Ac2573bd09bca3dd0fb9c4a317ed72ade</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47169-3_38</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321023/2/prod_359173-doc_159179.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321023&amp;bitstreamId=6cc1b898-da53-4fa3-b7a5-301671cf305e</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47169-3_38</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>A smart transportation system can be seen as an aggregate of transportation opportunities and services, accompanied by advanced management services that make the access to the system easier for the user. In this paper, we exploit the product line paradigm to address the variability of an exemplary smart transportation system: a bike-sharing system. Improving the satisfaction of a user of a bike-sharing system includes providing information at runtime on the filling degree of the docking stations in the near future. To fulfill this expectation, a prediction service is needed to infer the probability that at a certain time of the day a user will return a bike to or take one from a station. In earlier studies, several possible advanced smart predictive services were identified. The choice of which services to offer to users by the managers of a bike-sharing system is influenced by minimizing the costs while maximizing customer satisfaction. To aid the managers, we modeled a family of smart bike-sharing services, after which an attributed feature model was used to augment the model with quantitative attributes related to cost and customer satisfaction, allowing for a multi-objective optimization by dedicated tools. We observe that the performance of the smart prediction services, and therefore of the related customer satisfaction, is highly dependent on the amount of collected historical data on which the predictive analysis is based. Therefore the result of the optimization also depends on this factor, which evolves over time.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
            <orcid>0000-0002-2930-6367</orcid>
            <affiliation code="dnet:pers:566" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:566" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359179</identifier>
    <title>Correctness-by-construction and post-hoc verification: friends or foes?</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Hähnle R</creator>
        <creator>Schaefer I</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Design for Verification</subject>
        <subject>Synthesis</subject>
        <subject>System-of-Systems</subject>
        <subject>Deductive Verification</subject>
        <subject>Lightweight Verification</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification</subject>
        <subject>Statistical Model checking</subject>
        <subject>Software Product Lines</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47166-2_51</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321029</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F978-3-319-47166-2_51</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359179/2016_359179.postprint.pdf?id=people______%3A%3Ab02e51b8a304acff406a73028dbed9d4</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47166-2_51</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321029/2/prod_359179-doc_159181.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321029&amp;bitstreamId=d0cef66c-a7ff-4b90-abb4-e8a0b1a0d624</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47166-2_51</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>While correctness-by-construction and post-hoc verification are traditionally considered to provide two opposing views on proving software systems to be free from errors, nowadays numerous techniques and application fields witness initiatives that try to integrate elements of both ends of the spectrum. The ultimate aim is not merely to improve the correctness of software systems but also to improve their time-to-market, and to do so at a reasonable cost. This track brings together researchers and practitioners interested in the inherent 'tension' that is usually felt when trying to balance the pros and cons of correctness-by-construction versus post-hoc verification.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
            <orcid>0000-0002-2930-6367</orcid>
            <affiliation code="dnet:pers:566" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:566" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359180</identifier>
    <title>Statistical model checking for product lines</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Legay A</creator>
        <creator>Lluch Lafuente A</creator>
        <creator>Vandin A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Statistical Model Checking</subject>
        <subject>Probabilistic Models</subject>
        <subject>G.3 PROBABILITY AND STATISTICS</subject>
        <subject>Computation by abstract devices</subject>
        <subject>Mathematical logic and formal languages</subject>
        <subject>D.2.13 SOFTWARE ENGINEERING. Reusable Software. Domain engineering</subject>
        <subject>compilers</subject>
        <subject>Programming languages</subject>
        <subject>Software Product Lines</subject>
        <subject>F.3.2 LOGICS AND MEANINGS OF PROGRAMS. Process models</subject>
        <subject>interpreters</subject>
        <subject>[INFO]Computer Science [cs]</subject>
        <subject>Software engineering techniques</subject>
        <subject>Artificial intelligence (incl. robotics)</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification. Statistical methods</subject>
        <subject>F.3.2 LOGICS AND MEANINGS OF PROGRAMS. Algebraic approaches to semantics</subject>
        <subject>F.3.2 LOGICS AND MEANINGS OF PROGRAMS. Semantics of Programming Languages</subject>
        <subject>Quantitative Constraints</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification. Formal methods</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification. Model checking</subject>
        <subject>Logics and meanings of programs</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
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        <url hostedBy="backend.orbit.dtu.dk" rights="Open Access">https://backend.orbit.dtu.dk/ws/files/127270862/Statistical_Model_Checking_for_Product_Lines_postprint.pdf</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47166-2_8</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321030</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F978-3-319-47166-2_8</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359180/2016_359180.postprint.pdf?id=people______%3A%3A78d619f1fb8625ce606ce883bf9450f8</url>
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        <url hostedBy="HAL-Rennes 1" rights="not available">https://hal.inria.fr/hal-01406531</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321030/2/prod_359180-doc_157003.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321030&amp;bitstreamId=734fc257-93f3-4793-b96b-d215500ca2dd</url>
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    <dois>
        <doi>10.1007/978-3-319-47166-2_8</doi>
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    <bestRights>Open Access</bestRights>
    <abstract>We report on the suitability of statistical model checking for the analysis of quantitative properties of product line models by an extended treatment of earlier work by the authors. The type of analysis that can be performed includes the likelihood of specific product behaviour, the expected average cost of products (in terms of the attributes of the products' features) and the probability of features to be (un)installed at runtime. The product lines must be modelled in QFLan, which extends the probabilistic feature-oriented language PFLan with novel quantitative constraints among features and on behaviour and with advanced feature installation options. QFLan is a rich process-algebraic specification language whose operational behaviour interacts with a store of constraints, neatly separating product configuration from product behaviour. The resulting probabilistic configurations and probabilistic behaviour converge in a discrete-time Markov chain semantics, enabling the analysis of quantitative properties. Technically, a Maude implementation of QFLan, integrated with Microsoft's SMT constraint solver Z3, is combined with the distributed statistical model checker MultiVeStA, developed by one of the authors. We illustrate the feasibility of our framework by applying it to a case study of a product line of bikes.</abstract>
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            <name>Ter Beek, Maurice Henri</name>
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        <dataset doi="10.1007/978-3-030-34968-4_35" url="https://dx.doi.org/10.1007/978-3-030-34968-4_35">Summary of: A Framework for Quantitative Modeling and Analysis of Highly (re)configurable Systems</dataset>
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<record>
    <identifier>oai:it.cnr:prodotti:359181</identifier>
    <title>Supervisory controller synthesis for product lines using CIF 3</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
        <creator>Reniers M A</creator>
        <creator>De Vink E P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Correctness-by-Construction</subject>
        <subject>I.2.8 ARTIFICIAL INTELLIGENCE. Problem Solving</subject>
        <subject>Controller Synthesis</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification. Formal methods</subject>
        <subject>Supervisory Controller</subject>
        <subject>and Search. Control theory</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification. Model checking</subject>
        <subject>Control Methods</subject>
        <subject>Software Product Lines</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47166-2_59</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321031</url>
        <url hostedBy="ir.cwi.nl" rights="Open Access">https://ir.cwi.nl/pub/25175/25175.pdf</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F978-3-319-47166-2_59</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359181/2016_359181.postprint.pdf?id=people______%3A%3A29d62384fca391b3947695b41842266f</url>
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        <url hostedBy="NARCIS" rights="Closed Access">https://ir.cwi.nl/pub/25175</url>
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        <url hostedBy="NARCIS" rights="Closed Access">https://research.tue.nl/nl/publications/821c9bda-4563-4e7d-a106-27ef479a5c8e</url>
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    <dois>
        <doi>10.1007/978-3-319-47166-2_59</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Using the CIF 3 toolset, we illustrate the general idea of controller synthesis for product line engineering for a prototypical example of a family of coffee machines. The challenge is to integrate a number of given components into a family of products such that the resulting behaviour is guaranteed to respect an attributed feature model as well as additional behavioural requirements. The proposed correctness-by-construction approach incrementally restricts the composed behaviour by subsequently incorporating feature constraints, attribute constraints and temporal constraints. The procedure as presented focusses on synthesis, but leaves ample opportunity to handle e.g. uncontrollable behaviour, dynamic reconfiguration, and product- and family-based analysis.</abstract>
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            <code>600708</code>
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            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
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        <cnrPerson>
            <infoId>dnet:pers:566</infoId>
            <name>Ter Beek, Maurice Henri</name>
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        <dataset doi="10.1007/978-3-030-22397-7_8" url="https://dx.doi.org/10.1007/978-3-030-22397-7_8">Bridging the Gap Between Supervisory Control and Coordination of Services: Synthesis of Orchestrations and Choreographies</dataset>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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    <title>Multiresolution and fast decompression for optimal web-based rendering</title>
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        <creator orcid="0000-0002-2974-0577">Ponchio F</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Modeling and Simulation</subject>
        <subject>Three-Dimensional Graphics and Realism</subject>
        <subject>Geometry and Topology</subject>
        <subject>Computational Geometry and Object Modeling</subject>
        <subject>Software</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
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    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
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        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.gmod.2016.09.002</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321076</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359239/2016_359239.preprint.pdf?id=people______%3A%3Af0449502bfed2e5d0c373fc258a3be87</url>
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        <doi>10.1016/j.gmod.2016.09.002</doi>
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    <bestRights>Open Access</bestRights>
    <abstract>Limited bandwidth is a strong constraint when efficient transmission of 3D data to Web clients and mobile applications is needed. In this paper we present a novel multi-resolution WebGL based rendering algorithm which combines progressive loading, view-dependent resolution and mesh compression, providing high frame rates and a decoding speed of million of triangles per second in JavaScript. The method is parallelizable and scalable to very large models. The algorithm is based on the local multi-resolution approaches provided by the community, but ad-hoc solutions had to be studied and implemented to provide adequate performances. In particular, a compression mechanism that reached very high compression rate without impact on rendering performance was implemented. Moreover, the data partition strategy was modified in order to be able to load different types of data (i.e. point clouds) and better adapt to the potentials and limitations of web-based rendering.</abstract>
    <source>GRAPHICAL MODELS, vol. 88, pp. 1-11</source>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:359241</identifier>
    <title>3D Digitization of an heritage masterpiece - A critical analysis on quality assessment</title>
    <creators>
        <creator>Menna F</creator>
        <creator>Nocerino E</creator>
        <creator>Remondino F</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Accuracy</subject>
        <subject>Deformation analysis</subject>
        <subject>ICP</subject>
        <subject>Laser scanning</subject>
        <subject>Camera network</subject>
        <subject>Photogrammetry</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences" rights="Open Access">https://doi.org/10.5194/isprs-archives-xli-b5-675-2016</url>
        <url hostedBy="ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences" rights="Open Access">https://doi.org/10.5194/isprsarchives-xli-b5-675-2016</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5194/isprsarchives-xli-b5-675-2016</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321078</url>
        <url hostedBy="ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences" rights="Open Access">https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/675/2016/</url>
        <url hostedBy="The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences" rights="Open Access">https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/675/2016/isprs-archives-XLI-B5-675-2016.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321078/1/prod_359241-doc_117820.pdf</url>
    </urls>
    <dois>
        <doi>10.5194/isprsarchives-xli-b5-675-2016</doi>
        <doi>10.5194/isprs-archives-xli-b5-675-2016</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Despite being perceived as interchangeable when properly applied, close-range photogrammetry and range imaging have both their pros and limitations that can be overcome using suitable procedures. Even if the two techniques have been frequently cross-compared, critical analysis discussing all sub-phases of a complex digitization project are quite rare. Comparisons taking into account the digitization of a cultural masterpiece, such as the Etruscan Sarcophagus of the Spouses (Figure 1) discussed in this paper, are even less common. The final 3D model of the Sarcophagus shows impressive spatial and texture resolution, in the order of tenths of millimetre for both digitization techniques, making it a large 3D digital model even though the physical size of the artwork is quite limited. The paper presents the survey of the Sarcophagus, a late 6th century BC Etruscan anthropoid Sarcophagus. Photogrammetry and laser scanning were used for its 3D digitization in two different times only few days apart from each other. The very short time available for the digitization was a crucial constraint for the surveying operations (due to constraints imposed us by the museum curators). Despite very high-resolution and detailed 3D models have been produced, a metric comparison between the two models shows intrinsic limitations of each technique that should be overcome through suitable onsite metric verification procedures as well as a proper processing workflow.</abstract>
    <source>INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES, pp. 675-683. Prague, Czech Republic, 12-19 July 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>Alsadik, B., Remondino, F., Menna, F., Gerke, M., Vosselman, G., 2013. Robust extraction of image correspondences exploiting the image scene geometry and approximate camera orientation.</citation>
        <citation>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 40, pp.1-7.</citation>
        <citation>Callieri, M., Cignoni, P., Corsini, M., Scopigno, R., 2008.</citation>
        <citation>Masked Photo Blending: mapping dense photographic dataset on high-resolution 3D models. Computer &amp; Graphics, Vol. 32(4), pp. 464-473.</citation>
        <citation>Ramos, E.A. and Sadri, B., 2007. Geometric and topological guarantees for the wrap reconstruction algorithm. In Proc. 18th annual ACM-SIAM Symposium on discrete algorithms, pp. 1086- 1095. Society for Industrial and Applied Mathematics.</citation>
        <citation>Callieri, M., Chica, A., Dellepiane, M., Besora, I., Corsini, M., Moyés, J., Ranzuglia, G., Scopigno, R., Brunet, P., 2011.</citation>
        <citation>Multiscale acquisition and presentation of very large artifacts: The case of Portalada. ACM Journal on Computing and Cultural Heritage (JOCCH), Vol. 4(4).</citation>
        <citation>Cignoni, P., Rocchini, C., Montani, C., Scopigno, R., 2003.</citation>
        <citation>External Memory Management and Simplification of Huge Meshes. IEEE Transaction on Visualization and Computer Graphics, Vol.9 (4), pp. 525-537.</citation>
        <citation>Corsini, M., Dellepiane, M., Ganovelli, F., Gherardi, R., Fusiello, A., Scopigno, R., 2013. Fully Automatic Registration of Image Sets on Approximate Geometry. International Journal of Computer Vision, Vol. 102(1-3), pp. 91-111 Fraser, C.S., 1996. Network design. In “Close-range Photogrammetry and Machine Vision”, Atkinson (Ed.), Whittles Publishing, UK, pp. 256-282.</citation>
        <citation>Kazhdan, M., Bolitho, M., Hoppe, H., 2006. Poisson surface reconstruction. In Proc. 4th Eurographics Symposium on Geometry Processing.</citation>
        <citation>Levoy, M., Pulli, K., Curless, B., Rusinkiewicz, S., Koller, D., Pereira, L., Ginzton, M., Anderson, S., Davis, J., Ginsberg, J., Shade, J., 2000. The digital Michelangelo project: 3D scanning of large statues. In Proc. 27th Computer Graphics and Interactive Techniques, pp. 131-144, ACM Press/Addison-Wesley Publishing Co.</citation>
        <citation>Nocerino, E., Menna, F., Remondino, F., 2014. Accuracy of typical photogrammetric networks in cultural heritage 3D modeling projects. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(5), p.465.</citation>
        <citation>Ray, S.F., 2002. Applied photographic optics: Lenses and optical systems for photography, film, video, electronic and digital imaging. Focal Press.</citation>
        <citation>Remondino, F., Menna, F., Koutsoudis, A., Chamzas, C., ElHakim, S., 2013. Design and implement a reality-based 3D digitisation and modelling project. Proc. IEEE Conference "Digital Heritage 2013", Vol. 1, pp. 137-144.</citation>
        <citation>Remondino, F., Fraser, C., 2006. Digital camera calibration methods: considerations and comparisons. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 36(5), pp. 266-272.</citation>
        <citation>Remondino, F., 2003. From point cloud to surface: the modeling and visualization problem. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 34(5), p.W10.</citation>
        <citation>Remondino, F., Spera, M.G., Nocerino, E., Menna, F. and Nex, F., 2014. State of the art in high density image matching. The Photogrammetric Record, 29(146), pp.144-166.</citation>
        <citation>Rodríguez-Gonzálvez, P., Nocerino, E., Menna, F., Minto, S. and Remondino, F., 2015. 3D surveying &amp; modeling of underground passages in WWI fortifications. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(5), p.17.</citation>
        <citation>Russo, A., Cosentino, R., De Lucia, M.A., Guidazzoli, A., Cohen, G.B., Liguori, M.C. and Fishnaller, F., 2013. Etruscan cultural heritage: The Sarcophagus of the Spouses project: Virtual storytelling embedded in sensory audiovisual environments. In Proc. IEEE Conference "Digital Heritage 2013", Vol. 1, pp. 441-441.</citation>
        <citation>Schenk, T., 1999. Digital Photogrammetry: Volume I.</citation>
        <citation>TerraScience, Laurelville, Ohio, USA. 421 pages.</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359242</identifier>
    <title>Automatic selection of video frames for path regularization and 3D reconstruction</title>
    <creators>
        <creator orcid="0000-0003-4083-3835">Pavoni G</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M</creator>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Video analysis</subject>
        <subject>Frame extraction</subject>
        <subject>3D reconstruction</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/gch20161376</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/gch.20161376</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/321079</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321079&amp;bitstreamId=bb7dc012-9ce5-490d-9cea-672eb7c15910</url>
    </urls>
    <dois>
        <doi>10.2312/gch.20161376</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Video sequences can be a valuable source to document the state of objects and sites. They are easy to acquire and they usually ensure a complete coverage of the object of interest. One of their possible uses is to recover the acquisition path, or the 3D shape of the scene. This can be done by applying structure-from-motion techniques to a representative set of frames extracted from the video. This paper presents an automatic method for the extraction of a predefined number of representative frames that ensures an accurate reconstruction of the sequence path, and possibly enhances the 3D reconstruction of the scene. The automatic extraction is obtained by analyzing adjacent frames in a starting subset, and adding/removing frames so that the distance between them remains constant. This ensures the reconstruction of a regularized path and an optimized coverage of all the scene. Finally, more frames are added in the portions of the sequence when more detailed objects are framed. This ensures a better description of the sequence, and a more accurate dense reconstruction. The method is automatic, fast and independent from any assumption about the acquired object or the acquisition strategy. It was tested on a variety of different video sequences, showing that a satisfying result can be obtained regardless of the length and quality of the input.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
            <affiliation code="dnet:pers:31" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:438</infoId>
            <name>Pavoni, Gaia</name>
            <orcid>0000-0003-4083-3835</orcid>
            <affiliation code="dnet:pers:438" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/gch.20161376" url="https://dx.doi.org/10.2312/gch.20161376">Automatic Selection of Video Frames for Path Regularization and 3D Reconstruction</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359243</identifier>
    <title>Ambient intelligence in assisted living environments</title>
    <creators>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
    </creators>
    <publisher>Consiglio Nazionale delle Ricerche</publisher>
    <subjects>
        <subject>Ambient Assisted Living</subject>
        <subject>Ambient Intelligence</subject>
        <subject>Smart Environments</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321080</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321080/1/prod_359243-doc_117822.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The paradigm of Ambient Intelligence (AmI) aims at supporting humans in achieving their everyday objectives by enriching physical environments with networks of distributed devices, such as sensors, actuators, and computational resources. AmI is not only the convergence of various technologies (i.e. sensor networks and industrial electronics) and related research fields (i.e. pervasive, distributed computing, and artificial intelligence), but it represents a major effort to integrate them and to make them really useful for everyday human life. In particular, the recognition of human activities, coupled with the knowledge of the user's position in the indoor environment, represent two of the main pillars of the so-called "context-awareness". A context-aware system is aware of what sensory data mean: it is able to associate meaning to observations, and to make the best use of sensory data once their meaning has been assessed. In this context, one of the most important research and development areas is represented by assisted living environments. The general goal of Ambient Assisted Living (AAL) solutions is to apply ambient intelligence technologies to enable people with specific demands, e.g. with disabilities or elderly, to live longer in their preferred environment. This thesis deals with two major problems that still prevent the spreading of AAL solutions in real environments: (i) the need for a common medium to transmit the sensory data and the information produced by algorithms and (ii) the unobtrusiveness of context-aware applications in terms of both placement of devices and period of observations (i.e. long-term care offering services or assistance on a daily basis over a long period of time for people who are not independent). In order to address these challenges, this thesis contributes to the Ambient Intelligence research field, applied to assisted living environments, by means of a holistic solution composed of a beyond the state-of-the-art middleware infrastructure, providing interoperability and service abstraction, and a suite of unobtrusive applications, built on top the proposed middleware, that allows the detection of the user's context and behavioral deviations of his routine in indoor activities. The proposed solution has been thoroughly evaluated in the laboratory and in real testbeds offered by European FP7 projects, namely GiraffPlus and DOREMI, that showed its effectiveness in dealing with the requirements coming from the application of the AAL paradigm in the real world.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::867bd0d1c4eb429ca2d9bf1b4288068c</openaireId>
            <code>288173</code>
            <name>Combing social interaction and long term monitoring for promoting independent living</name>
            <acronym>GIRAFF+</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_52</code>
            <name>07 Tesi</name>
            <acronym>07 Tesi</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_53</code>
            <name>07.01 Tesi di dottorato</name>
            <acronym>07.01 Tesi di dottorato</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359246</identifier>
    <title>AAL-SOCIALIZE - Security and privacy guidelines document</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
        <creator orcid="0000-0001-6715-2613">Pillitteri L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Socialize</subject>
        <subject>AAL</subject>
        <subject>Elderly</subject>
        <subject>Security</subject>
        <subject>Privacy</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="deliverables.aal-europe.eu" rights="Open Access">http://deliverables.aal-europe.eu/call-3/socialize</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/321083</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359246/2016_359246.pdf?id=people______%3A%3Ae71cfe0dda48259ae69e762efc5b91da</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/321083/1/prod_359246-doc_117825.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>SOCIALIZE is a service oriented platform that could be potentially accessed from anywhere in the world. However, the access to services should be granted to authorised endpoints. Application security is the use of software, hardware, and procedural methods to protect applications from external threats. In the Socialize project, security is about risk management and implementing effective countermeasures and it must be applied at three layers: network, host and application. To respect the elderly privacy is necessary to observe the rules of professional conduct that, if ignored, might limit the individual freedom. It is necessary to take advantage of the new technologies of Information and Communication Technologies (ICT) that, if applied incorrectly, can become invasive and in contradiction with the individual freedom.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1318</infoId>
            <name>Pillitteri, Loredana</name>
            <orcid>0000-0001-6715-2613</orcid>
            <affiliation code="dnet:pers:1318" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359248</identifier>
    <title>Critical systems: formal methods and automated verification</title>
    <creators>
        <creator orcid="0000-0002-2930-6367">Ter Beek M H</creator>
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        <creator>Knapp A</creator>
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        <subject>Formal Methods</subject>
        <subject>Automated Verification Techniques</subject>
        <subject>Application and Case Studies</subject>
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    <date>2016</date>
    <language>English</language>
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    <abstract>This book constitutes the refereed proceedings of the Joint 21st International Workshop on Formal Methods for Industrial Critical Systems and the 16th International Workshop on Automated Verification of Critical Systems, FMICS-AVoCS 2016, held in Pisa, Italy, in September 2016. The 11 full papers and 4 short papers presented together with one invited talk were carefully reviewed and selected from 24 submissions. They are organized in the following sections: automated verification techniques; model-based system analysis; and applications and case studies.</abstract>
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    <title>Face morphology: Can it tell us something about body weight and fat?</title>
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        <creator orcid="0000-0001-7742-8126">Pascali Ma</creator>
        <creator orcid="0000-0002-6752-6918">Giorgi D</creator>
        <creator orcid="0000-0003-3467-7362">Bastiani L</creator>
        <creator orcid="0000-0001-5887-3400">Buzzigoli E</creator>
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    <subjects>
        <subject>Weight and fat-related parameters</subject>
        <subject>Computer Science Applications</subject>
        <subject>Structural equation model</subject>
        <subject>Health Informatics</subject>
        <subject>I400</subject>
        <subject>3D scanning and reconstruction</subject>
        <subject>BMI</subject>
        <subject>Facial morphology</subject>
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    <date>2016</date>
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        <doi>10.1016/j.compbiomed.2016.06.006</doi>
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    <abstract>This paper proposes a method for an automatic extraction of geometric features, related to weight parameters, from 3D facial data acquired with low-cost depth scanners. The novelty of the method relies both on the processing of the 3D facial data and on the definition of the geometric features which are conceptually simple, robust against noise and pose estimation errors, computationally efficient, invariant with respect to rotation, translation, and scale changes. Experimental results show that these measurements are highly correlated with weight, BMI, and neck circumference, and well correlated with waist and hip circumference, which are markers of central obesity. Therefore the proposed method strongly supports the development of interactive, non obtrusive systems able to provide a support for the detection of weight-related problems.</abstract>
    <source>COMPUTERS IN BIOLOGY AND MEDICINE, vol. 76, pp. 238-249</source>
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        <creator>Fouqueré C</creator>
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        <subject>Ocaml</subject>
        <subject>Curry</subject>
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        <subject>Typed language</subject>
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    <date>2016</date>
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            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359251</identifier>
    <title>Usability evaluation of the digital library DanteSources</title>
    <creators>
        <creator>Bartalesi V</creator>
        <creator orcid="0000-0003-0069-7429">Meghini C</creator>
        <creator orcid="0000-0002-5512-2158">Metilli D</creator>
        <creator>Andriani P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Digital libraries usability</subject>
        <subject>Semantic web</subject>
        <subject>Human computer Interaction</subject>
        <subject>Digital libraries</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-39513-5_18</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-39513-5_18</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/321088</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321088&amp;bitstreamId=6b235466-6e3e-4eed-b703-6ac4d8e5543e</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007%2F978-3-319-39513-5_18</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-39513-5_18</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this paper we present DanteSources, a Digital Library of Dante Alighieri's primary sources, i.e. the works of other authors that Dante cites in his texts. Currently, this information is scattered in many books, making it difficult for the scholars to retrieve it and also to produce a systematical overview of the cultural background of Dante. In order to overcome this problem, an ontology expressed in RDF/S was developed to represent this knowledge. Once the ontology had been defined, we populated it with the data included in authoritative commentaries to Dante's works. We stored the resulting RDF graph into a Virtuoso triple store. Finally, on top of this graph, we developed DanteSources, which allows users to extract and display the knowledge stored in the knowledge base in the form of charts and tables. In this paper we present the results of a survey to collect suggestions and comments from end-users on their interactions with DanteSources in order to evaluate its usability.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:730</infoId>
            <name>Meghini, Carlo</name>
            <orcid>0000-0003-0069-7429</orcid>
            <affiliation code="dnet:pers:730" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:467</infoId>
            <name>Metilli, Daniele</name>
            <orcid>0000-0002-5512-2158</orcid>
            <affiliation code="dnet:pers:467" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359253</identifier>
    <title>A model-free approach for imaging tumor hypoxia from DCE-MRI data</title>
    <creators>
        <creator>Venianaki M</creator>
        <creator>Kontopodis E</creator>
        <creator>Nikiforaki K</creator>
        <creator>De Bree E</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator>Marias K</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>DCE-MRI</subject>
        <subject>Image procebing</subject>
        <subject>Tumor hypoxia</subject>
        <subject>Matrix factorization</subject>
        <subject>Pattern recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2949062</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2949035.2949062</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2949035.2949062</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/321090</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321090&amp;bitstreamId=05a120ac-3126-4ac1-b6b4-6750a372e28a</url>
    </urls>
    <dois>
        <doi>10.1145/2949035.2949062</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Non-invasive imaging biomarkers that abeb angiogenic response and tumor microvascular environment at an early stage of therapy could provide useful insights into therapy planning. Tibue hypoxia is related to the insufficient supply of oxygen and is abociated with tumor vasculature and perfusion. Thus, knowledge of the hypoxic areas could be of great importance. There is no golden standard for imaging tumor hypoxia yet, however Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is among the most promising non-invasive clinically relevant imaging modalities. In this work, DCE-MRI data from neck sarcoma are analyzed through a pattern recognition technique which results in the separation of the tumor area into well-perfused, hypoxic and necrotic regions.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/600841/EU/Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology/CHIC</infoId>
            <openaireId>corda_______::73ff229bc20311dcd712fb69c2cdf6b6</openaireId>
            <code>600841</code>
            <name>Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology</name>
            <acronym>CHIC</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359254</identifier>
    <title>Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity</title>
    <creators>
        <creator>Karakus O</creator>
        <creator orcid="0000-0002-2608-8034">Kuruoglu E E</creator>
        <creator>Altinkaya M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Monte Carlo method</subject>
        <subject>Bayesian estimation</subject>
        <subject>Model selection</subject>
        <subject>Markov chain Monte Carlo (RJMCMC)</subject>
        <subject>Reversible jump MCMC</subject>
        <subject>Nonlinear stochastic process</subject>
        <subject>Reversible jump</subject>
        <subject>Markov processes</subject>
        <subject>Polynomia</subject>
        <subject>Nonlinearity degree estimation</subject>
        <subject>Polynomials</subject>
        <subject>Nonlinear optics</subject>
        <subject>Polynomial moving average</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="gcris.iyte.edu.tr" rights="Open Access">https://gcris.iyte.edu.tr/bitstream/11147/6018/1/6018.pdf</url>
        <url hostedBy="DSpace@IZTECH" rights="Open Access">http://hdl.handle.net/11147/6018</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/eusipco.2016.7760507</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/eusipco.2016.7760507</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/321091</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321091&amp;bitstreamId=0fbd8909-aaa4-4378-a200-38d84d7b0262</url>
        <url hostedBy="openlibrary.eurasip.org" rights="Restricted">http://openlibrary.eurasip.org/</url>
    </urls>
    <dois>
        <doi>10.1109/eusipco.2016.7760507</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Various real world phenomena such as optical communication channels, power amplifiers and movement of sea vessels exhibit nonlinear characteristics. The nonlinearity degree of such systems is assumed to be known as a general intention. In this paper, we contribute to the literature with a Bayesian estimation method based on reversible jump Markov chain Monte Carlo (RJMCMC) for polynomial moving average (PMA) models. Our use of RJMCMC is novel and unique in the way of estimating both model memory and the nonlin- earity degree. This offers greater flexibility to characterize the models which reflect different nonlinear characters of the measured data. In this study, we aim to demonstrate the potentials of RJMCMC in the identification for PMA models due to its potential of exploring nonlinear spaces of different degrees by sampling.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1539</infoId>
            <name>Kuruoglu, Ercan</name>
            <orcid>0000-0002-2608-8034</orcid>
            <affiliation code="dnet:pers:1539" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359255</identifier>
    <title>Improving hypoxia map estimation by using model-free classification techniques in DCE-MRI images</title>
    <creators>
        <creator>Venianaki M</creator>
        <creator>Kontopodis E</creator>
        <creator>Nikiforaki K</creator>
        <creator>De Bree E</creator>
        <creator>Maris T</creator>
        <creator>Karantanas A</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator>Marias K</creator>
    </creators>
    <publisher>IEEE</publisher>
    <subjects>
        <subject>Medical diagnostic imaging</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/ist.2016.7738220</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/ist.2016.7738220</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/321092</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">https://ieeexplore.ieee.org/document/7738220/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321092&amp;bitstreamId=5aa9e64d-fbc2-4a27-9a30-e8b1f9cece8d</url>
    </urls>
    <dois>
        <doi>10.1109/ist.2016.7738220</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The vascular microenvironment of tumors is a key determinant of the tumor pathophysiology. Hypoxia, i.e. lack of sufficient oxygen supply, might affect significantly the treatment efficacy of solid tumors making it an important imaging biomarker. The ability to characterize oxygen perfusion of the tumor can provide prognostic information about the tumor progression and risk of metastases. In this work, Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI), a non-invasive method, has been used for the detection of tumor hypoxic areas on neck sarcoma data. Data analysis was performed using a pattern recognition (PR) technique able to automatically identify potential tumor hypoxic regions along with a well-established pharmacokinetic (PK) model for computing perfusion parameters. The paper presents a novel method for the initialization of the PR technique through realistic assumptions in order to overcome instability issues found in random initialization. To this end, the PR technique was initialized using two novel approaches based on the wash-in part of the dynamic acquisition and the ktrans map derived from the PK analysis. The results, from these different implementations show high correlation between them and consistently lead to the separation of the tumor area into well-perfused, hypoxic and necrotic regions.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359363</identifier>
    <title>An holistic approach for high-level programming of next-generation data-intensive applications targeting distributed heterogeneous computing environment</title>
    <creators>
        <creator orcid="0000-0003-3643-5404">Carlini E</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator orcid="0000-0002-1406-828X">Mordacchini M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>General Environmental Science</subject>
        <subject>High-level Programming Models</subject>
        <subject>Cloud Computing</subject>
        <subject>Cloud Federation</subject>
        <subject>Data-intensive Applications</subject>
        <subject>General Earth and Planetary Sciences</subject>
        <subject>Resource Management</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="Procedia Computer Science" rights="Open Access">https://doi.org/10.1016/j.procs.2016.08.290</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.procs.2016.08.290</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/323432</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S1877050916321068</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/323432/1/prod_359363-doc_118145.pdf</url>
    </urls>
    <dois>
        <doi>10.1016/j.procs.2016.08.290</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Data-intensive applications are one of the largest customers of high throughput computing environments. As clearly shown by the BigData raise, there is a widely recognised urge for processing large amount of data, universallyconsidered the "new oil", from which to extract wisdom, knowledge and, more in general, information of very different kinds, ranging from commercial to financial, from medical to political hints. This extreme intrinsic richness andheterogeneity of data is paired with the extreme complexity in its storing and processing.</abstract>
    <source>PROCEDIA COMPUTER SCIENCE, pp. 131-134. Madrid, Spain, 18-20/10/2016</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/723131/EU/Cloud Brokerage Across Borders for Mobile Users and Applications/BASMATI</infoId>
            <openaireId>corda__h2020::d5c57ae956555757e4203817601ba7d5</openaireId>
            <code>723131</code>
            <name>Cloud Brokerage Across Borders for Mobile Users and Applications</name>
            <acronym>BASMATI</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:102</infoId>
            <name>Carlini, Emanuele</name>
            <orcid>0000-0003-3643-5404</orcid>
            <affiliation code="dnet:pers:102" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:817</infoId>
            <name>Dazzi, Patrizio</name>
            <orcid>0000-0001-8504-1503</orcid>
            <affiliation code="dnet:pers:817" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:157</infoId>
            <name>Mordacchini, Matteo</name>
            <orcid>0000-0002-1406-828X</orcid>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>1. Coutinho, J., Pell, O., ONeill, E., Sanders, P., McGlone, J., Grigoras, P., et al. Harness project: Managing heterogeneous compute resources for a cloud platform. In: Proc. the 10th International Symposium on Applied Reconfigurable Computing (ARC). 2014, .</citation>
        <citation>2. Conti, M., Mordacchini, M., Passarella, A.. Design and performance evaluation of data dissemination systems for opportunistic networks based on cognitive heuristics. ACM Transactions on Autonomous and Adaptive Systems (TAAS) 2013;8(3):12.</citation>
        <citation>3. Marzolla, M., Mordacchini, M., Orlando, S.. A p2p resource discovery system based on a forest of trees. In: 17th International Workshop on Database and Expert Systems Applications (DEXA'06). IEEE; 2006, p. 261-265.</citation>
        <citation>4. Satyanarayanan, M., Bahl, P., Caceres, R., Davies, N.. The case for vm-based cloudlets in mobile computing. Pervasive Computing, IEEE 2009;8(4):14-23.</citation>
        <citation>5. Stojmenovic, I.. Fog computing: a cloud to the ground support for smart things and machine-to-machine networks. In: Telecommunication Networks and Applications Conference (ATNAC), 2014 Australasian. IEEE; 2014, p. 117-122.</citation>
        <citation>6. Anastasi, G.F., Cassara`, P., Dazzi, P., Gotta, A., Mordacchini, M., Passarella, A.. A hybrid cross-entropy cognitive-based algorithm for resource allocation in cloud environments. In: 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems. IEEE; 2014, p. 11-20.</citation>
        <citation>7. Aldinucci, M., Campa, S., Danelutto, M., Kilpatrick, P., Torquati, M.. Pool evolution: a domain specific parallel pattern. In: Proc. of the 7th Intl. Symposium on High-level Parallel Programming and Applications (HLPP), Amsterdam. 2014, .</citation>
        <citation>8. Carlini, E., Coppola, M., Dazzi, P., Ricci, L., Righetti, G.. Cloud federations in contrail. In: Euro-Par 2011: Parallel Processing Workshops. Springer; 2011, p. 159-168.</citation>
        <citation>9. Danelutto, M., Pasin, M., Vanneschi, M., Dazzi, P., Laforenza, D., Presti, L.. Pal: exploiting java annotations for parallelism. In: Achievements in European Research on Grid Systems. Springer US; 2008, .</citation>
        <citation>10. Danelutto, M., Dazzi, P.. A java/jini framework supporting stream parallel computations. In: et al., G.R.J., editor. Proceedings of the International Conference ParCo 2005. ISBN 3-00-017352-8; 2005, .</citation>
        <citation>This work has been partly supported by BASMATI project H2020 G.A. no. 723131 and ICT R&amp;D program of</citation>
        <citation>Korean Ministry of Science, ICT and Future Planning no. R0115-16-0001 1. Dazzi P, Felber P, Leonini L, Mordacchini M, Perego R, Rajman M, Rivière É. Peer-to-peer clustering of web-browsing users. In Proceedings</citation>
        <citation>of LSDS-IR; 2009. 2. Baraglia R, Dazzi P, Mordacchini M, Ricci L, Alessi L. Group: A gossip based building community protocol. In Balandin S, Koucheryavy Y,</citation>
        <citation>Hu H, editors. Smart Spaces and Next Generation Wired/Wireless Networking, Heidelberg, 2011. Lecture Notes in Computer Science,</citation>
        <citation>Volume 6869. Springer; p. 496-507. 3. Conti M, Mordacchini M, Passarella A. Design and performance evaluation of data dissemination systems for opportunistic networks based on</citation>
        <citation>cognitive heuristics. ACM Transactions on Autonomous and Adaptive Systems, 2013;8:3, p. 12:1-12:32. 4. Coutinho J, Pell O, ONeill E, Sanders E, McGlone J, Grigoras P, Luc W, Ragusa C. Harness project: Managing heterogeneous compute</citation>
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    <identifier>oai:it.cnr:prodotti:359366</identifier>
    <title>Self-optimising Decentralised Service Placement in Heterogeneous Cloud Federation</title>
    <creators>
        <creator orcid="0000-0003-3643-5404">Carlini E</creator>
        <creator orcid="0000-0002-7937-4157">Coppola M</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator orcid="0000-0002-1406-828X">Mordacchini M</creator>
        <creator orcid="0000-0002-1694-612X">Passarella A</creator>
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    <subjects>
        <subject>Future Internet</subject>
        <subject>Internet of Things</subject>
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    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
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    <abstract>Clouds have been relevant business drivers and computationalbackends for a wide range of applications, includingIoT, e-health, data analytics. To match the complex needs ofsuch comprehensive set of different kinds of applications, inrecent times there is an emerging need for new paradigmsand forms of Clouds, organised according to a federated, heterogeneousand distributed structure. To exploit heterogeneityand localisation, in order to enhance the overall performances,ensure energy efficiency, reduce costs for resource providers andin the meantime enhance the user experience, proper serviceplacement solutions are required. However, conducting efficientdeployments in such a scenario is complex due to the dynamicnature of applications, resources, users. As a consequence, therethe a need for scalable, distributed, adaptive, context-awaresolutions characterised by high-efficiency and reduced overhead.We propose a highly distributed, self-adaptive solution aimed atoptimising the overall deployment of cloud services by means ofpoint-to-point interactions occurring among clouds and cloudletsbelonging to the same federation. The contribution of this paperis the definition of a service exchange mechanism, its Markovchainbased modelling and thorough experimental evaluation.</abstract>
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    <title>A multi-criteria ranking of security countermeasures</title>
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        <creator>Matteucci I.</creator>
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        <subject>Security assessment</subject>
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    <date>2016</date>
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    <abstract>We propose a multi-criteria framework for ranking controlling strategies based on several weights, such as delay-time, resource cost, and success-probability of attacks defined via quantitative threat analysis. Therefore, by assigning a different priority to weight-dimensions, we can rank controllers in an adaptive way. We exemplify our approach on the Customer Energy Management System, that acting as an interface among different systems, is open to attacks. We consider the Man in the Middle and Denial of Service attacks.</abstract>
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        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator>Loreti M</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Closure spaces</subject>
        <subject>Closure Spaces</subject>
        <subject>Spatial logics</subject>
        <subject>Computer Science (all)</subject>
        <subject>Topological Spaces</subject>
        <subject>General Computer Science</subject>
        <subject>Logic in Computer Science (cs.LO)</subject>
        <subject>Spatial Logics</subject>
        <subject>Modal Logics</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Collective Adaptive Systems</subject>
        <subject>Spatial model checking</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Spatial Logics Model-checking</subject>
        <subject>Computer Science - Logic in Computer Science</subject>
        <subject>Collective logics</subject>
        <subject>D.2.4</subject>
        <subject>F.3.1</subject>
        <subject>F.3.2</subject>
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    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
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        <url hostedBy="Logical Methods in Computer Science" rights="Open Access">https://doi.org/10.2168/lmcs-12(4:2)2016</url>
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        <url hostedBy="Archivio istituzionale della ricerca - Università di Camerino" rights="Open Access">http://hdl.handle.net/11581/404989</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316520</url>
        <url hostedBy="Episciences" rights="Open Access">https://lmcs.episciences.org/2067</url>
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        <doi>10.2168/lmcs-12(4:2)2016</doi>
        <doi>10.48550/arxiv.1609.06513</doi>
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    <bestRights>Open Access</bestRights>
    <abstract>Spatial aspects of computation are becoming increasingly relevant in Computer Science, especially in the field of collective adaptive systems and when dealing with systems distributed in physical space. Traditional formal verification techniques are well suited to analyse the temporal evolution of programs; however, properties of space are typically not taken into account explicitly. We present a topology-based approach to formal verification of spatial properties depending upon physical space. We define an appropriate logic, stemming from the tradition of topological interpretations of modal logics, dating back to earlier logicians such as Tarski, where modalities describe neighbourhood. We lift the topological definitions to the more general setting of closure spaces, also encompassing discrete, graph-based structures. We extend the framework with a spatial surrounded operator, a propagation operator and with some collective operators. The latter are interpreted over arbitrary sets of points instead of individual points in space. We define efficient model checking procedures, both for the individual and the collective spatial fragments of the logic and provide a proof-of-concept tool.</abstract>
    <source>LOGICAL METHODS IN COMPUTER SCIENCE, vol. 12 (issue 4), pp. 1-51</source>
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    <identifier>oai:it.cnr:prodotti:359528</identifier>
    <title>A Web application to publish R scripts as-a-Service on a Cloud computing platform</title>
    <creators>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator orcid="0000-0001-8375-6644">Panichi G</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>R</subject>
        <subject>Web services</subject>
        <subject>Cloud computing</subject>
        <subject>Prototype scripting</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316530</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359528/2016_359528.published.pdf?id=people______%3A%3A8f386cae52083daeabc7dfec6298f74e</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316530/1/prod_359528-doc_117974.pdf</url>
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    <abstract>Prototype scripting is the base of most models in computational biology and environmental sciences. Scientists making prototype scripts (e.g. using R and Matlab) often need to share results and make their models used also by other scientists on new data. To this aim, one way is to publish scripts as-a-Service, possibly under a recognized standard (e.g. the Web Processing Service of the Open Geospatial Consortium). Unfortunately, prototype scripts are not generally meant to be transformed into Web services, which require managing multi-tenancy, concurrency etc. Often, porting prototype scripts to more efficient programming languages is not affordable, because this operation demands for time, competencies and money. For this reason, Web services are becoming smart enough to integrate prototype scripts directly and possibly make them run efficiently (e.g. WPS4R ). In this paper, we present an interface (Statistical Algorithms Importer, SAI) that allows scientists to easily and quickly import R scripts onto a distributed e-Infrastructure, which publishes the scripts as-a-Service and manages multi-tenancy and concurrency. Additionally, it allows scientists to update their scripts without following long software re-deploying procedures each time. SAI relies on the D4Science e-Infrastructure , a distributed computer system supporting large-scale resource sharing and Cloud computing, via the definition of Virtual Research Environments (VREs).</abstract>
    <source>BOLLETTINO DI GEOFISICA TEORICA E APPLICATA, vol. 52, pp. 51-53</source>
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            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
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            <name>Coro, Gianpaolo</name>
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    <identifier>oai:it.cnr:prodotti:359532</identifier>
    <title>Bridging environmental data providers and SeaDataNet DIVA service within a collaborative and distributed e-Infrastructure</title>
    <creators>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
        <creator>Napolitano U</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ocean acidification</subject>
        <subject>Geographical interpolation</subject>
        <subject>GIS</subject>
        <subject>Web services</subject>
        <subject>e-Infrastructures</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
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    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Among its devastating effects, ocean acidification harms organisms whose life depends on shells and on coral reefs. Therefore, it affects important marine ecosytems hosting high biodiversity and food availability. A recent paper published on Nature has highlighted the decrease of calcification of a very important planktonic mollusc, the sea butterfly (Limacina helicina). The shell-building capacity of this organism declines with decreasing aragonite saturation, which is due to the increase of average pH in the seas. Monitoring and containing ocean acidification helps preventing coral reefs and shell-building organisms to dissolve, and thus helps preventing ecological disasters. Unfortunately, environmental observations of parameters like aragonite saturation and pH are usually available as scattered in situ data, published on restricted-access data e-Infrastructures (e.g. the Copernicus Marine Environment Monitoring Service). On the other hand, interpolation services exist (e.g. the SeaDataNet Data-Interpolating Variational Analysis service, DIVA) to estimate global, uniform distributions of environmental parameters from scattered observations. However, these services usually require data to be compliant with a non-standard format and cannot accept in situ data formats directly. Furthermore, they do not support facilities neither to communicate nor to publish their results for a large public. The D4Science e-Infrastructure is a distributed computer system that aims at supporting large-scale resource sharing (both hardware and software) via the definition of Virtual Research Environments (VREs) and allows data to be processed with distributed computing. D4Science is able to create a bridge between several e-Infrastructures to fill the communication gap between them. This bridge is realised through a set of data storage and processing web services that are easy to extend. As for the ocean acidification monitoring case, we present a D4Science process (D4Science-SeaDataNet Interpolator service) that can transform a set of Copernicus in situ marine observations of an acidification parameter into a uniform global distribution map, published on a data catalogue under standard geographical representation formats (e.g. Web Map Service, Web Feature Service, Web Coverage Service). This process is hosted on the D4Science computing platform, which uses also European Grid Infrastructure FedCloud resources, and is able to (i) import Copernicus observations, (ii) organize them into a suitable format for the SeaDataNet interpolation service, (iii) execute the interpolation process and (iv) publish or share the output as a gradient map. The process invokes the SeaDataNet DIVA interpolation service using a distributed computing strategy to process both the input and output. Finally, the e-Infrastructure provides a geospatial services network, on which the computing system can store and publish data as GIS maps. The process is also endowed with a graphical user interface, available through a Web portal (i-marine.d4science.org). Through D4Science, users can establish the access policy for the input and output data, e.g. they can share data either with selected colleagues or with all the participants to a Virtual Research Environment they are involved in.</abstract>
    <source>BOLLETTINO DI GEOFISICA TEORICA E APPLICATA, vol. 52, pp. 23-25</source>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359533</identifier>
    <title>Stable graphical models</title>
    <creators>
        <creator>Misra N</creator>
        <creator orcid="0000-0002-2608-8034">Kuruoglu E E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Alpha-stable distribution</subject>
        <subject>Bayesian networks</subject>
        <subject>Non-Gaussian networks</subject>
        <subject>Multivariate analysis</subject>
        <subject>Multivariate distribution</subject>
        <subject>Gene expression modelling</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316535</url>
        <url hostedBy="jmlr.org" rights="Open Access">http://jmlr.org/papers/v17/14-150.html</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359533/2016_%20359533.published.pdf?id=people______%3A%3Abc7ed65d4a0101c337a8254fd37bee89</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316535/1/prod_359533-doc_117978.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Stable random variables are motivated by the central limit theorem for densities with (potentially) unbounded variance and can be thought of as natural generalizations of the Gaussian distribution to skewed and heavy-tailed phenomenon. In this paper, we introduce alpha-stable graphical (alpha-SG) models, a class of multivariate stable densities that can also be represented as Bayesian networks whose edges encode linear dependencies between random variables. One major hurdle to the extensive use of stable distributions is the lack of a closed-form analytical expression for their densities. This makes penalized maximumlikelihood based learning computationally demanding. We establish theoretically that the Bayesian information criterion (BIC) can asymptotically be reduced to the computationally more tractable minimum dispersion criterion (MDC) and develop StabLe, a structure learning algorithm based on MDC. We use simulated datasets for ve benchmark network topologies to empirically demonstrate how StabLe improves upon ordinary least squares (OLS) regression. We also apply StabLe to microarray gene expression data for lymphoblastoid cells from 727 individuals belonging to eight global population groups. We establish that StabLe improves test set performance relative to OLS via ten-fold cross-validation. Finally, we develop SGEX, a method for quantifying differential expression of genes between different population groups.</abstract>
    <source>JOURNAL OF MACHINE LEARNING RESEARCH, vol. 17 (issue 168), pp. 1-36</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1539</infoId>
            <name>Kuruoglu, Ercan</name>
            <orcid>0000-0002-2608-8034</orcid>
            <affiliation code="dnet:pers:1539" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359535</identifier>
    <title>Lightweight random indexing for polylingual text classification</title>
    <creators>
        <creator orcid="0000-0002-0377-1025">Moreo Fernandez A.</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A.</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F.</creator>
    </creators>
    <publisher>Morgan Kaufmann Publishers,, San Francisco, Calif. , Stati Uniti d'America</publisher>
    <subjects>
        <subject>Polylingual text classification</subject>
        <subject>Artificial Intelligence</subject>
        <subject>Random indexing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::8c7b11f70f5a2e04ec15d26d8af34e51</documentPage>
    <urls>
        <url hostedBy="The Journal of Artificial Intelligence Research" rights="Open Access">https://doi.org/10.1613/jair.5194</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1613/jair.5194</url>
        <url hostedBy="The Journal of Artificial Intelligence Research" rights="Open Access">https://jair.org/index.php/jair/article/download/11025/26189</url>
        <url hostedBy="jair.org" rights="Open Access">http://jair.org/papers/paper5194.html</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359535/2016_%20359535.published.pdf?id=people______%3A%3A8c7b11f70f5a2e04ec15d26d8af34e51</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-84995582086&amp;partnerID=MN8TOARS</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/359535</url>
    </urls>
    <dois>
        <doi>10.1613/jair.5194</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Multilingual Text Classification(MLTC) is a text classification task in which documents arewritten each in one among a setLof natural languages, and in which all documents must beclassified under the same classification scheme, irrespective of language. There are two mainvariants of MLTC, namelyCross-Lingual Text Classification(CLTC) andPolylingual TextClassification(PLTC). In PLTC, which is the focus of this paper, we assume (differentlyfrom CLTC) that for each language inLthere is a representative set of training documents;PLTC  consists  of  improving  the  accuracy  of  each  of  the|L|monolingual  classifiers  byalso  leveraging  the  training  documents  written  in  the  other  (|L| -1)  languages.   Theobvious solution, consisting of generating a single polylingual classifier from the juxtaposedmonolingual vector spaces,  is usually infeasible,  since the dimensionality of the resultingvector space is roughly|L|times that of a monolingual one, and is thus often unmanageable.As a response, the use of machine translation tools or multilingual dictionaries has beenproposed.  However, these resources are not always available, or are not always free to use.One machine-translation-free and dictionary-free method that, to the best of our knowl-edge, has never been applied to PLTC before, isRandom Indexing(RI). We analyse RI interms of space and time efficiency,  and propose a particular configuration of it (that wedubLightweight Random Indexing- LRI). By running experiments on two well known pub-lic benchmarks, Reuters RCV1/RCV2 (a comparable corpus) and JRC-Acquis (a parallelone), we show LRI to outperform (both in terms of effectiveness and efficiency) a numberof  previously  proposed  machine-translation-free  and  dictionary-free  PLTC  methods  thatwe use as baselines.</abstract>
    <source>The journal of artificial intelligence research (Print) 57 (2016): 151–185. doi:10.1613/jair.5194</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:320</infoId>
            <name>Moreo Fernandez, Alejandro David</name>
            <orcid>0000-0002-0377-1025</orcid>
            <affiliation code="dnet:pers:320" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1205</infoId>
            <name>Sebastiani, Fabrizio</name>
            <orcid>0000-0003-4221-6427</orcid>
            <affiliation code="dnet:pers:1205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359538</identifier>
    <title>Detection of geometric temporal changes in point clouds</title>
    <creators>
        <creator orcid="0000-0002-1032-2092">Palma G</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator>Boubekeur T</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer Graphics</subject>
        <subject>Point-based models</subject>
        <subject>Shape modelling</subject>
        <subject>Object scanning/acquisition</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>Point-based methods</subject>
        <subject>Digital geometry processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1111/cgf.12730</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316540</url>
        <url hostedBy="onlinelibrary.wiley.com" rights="Open Access">http://onlinelibrary.wiley.com/doi/10.1111/cgf.12730/abstract;jsessionid=0C5F21073D306C7C612C22C130B891C7.f02t01</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359538/2016_359538.postprint.pdf?id=people______%3A%3Af44f7ec350c12b972b0659e3237f110c</url>
        <url hostedBy="Computer Graphics Forum" rights="Closed Access">https://doi.org/10.1111/cgf.12730</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316540/2/prod_359538-doc_126694.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/316540&amp;bitstreamId=e0e898da-5ac2-4d1f-96ec-83799fe6ccbf</url>
    </urls>
    <dois>
        <doi>10.1111/cgf.12730</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Detecting geometric changes between two 3D captures of the same location performed at different moments is a critical operation for all systems requiring a precise segmentation between change and no-change regions. Such application scenarios include 3D surface reconstruction, environment monitoring, natural events management and forensic science. Unfortunately, typical 3D scanning setups cannot provide any one-to-one mapping between measured samples in static regions: in particular, both extrinsic and intrinsic sensor parameters may vary over time while sensor noise and outliers additionally corrupt the data. In this paper, we adopt a multi-scale approach to robustly tackle these issues. Starting from two point clouds, we first remove outliers using a probabilistic operator. Then, we detect the actual change using the implicit surface defined by the point clouds under a Growing Least Square reconstruction that, compared to the classical proximity measure, offers a more robust change/no-change characterization near the temporal intersection of the scans and in the areas exhibiting different sampling density and direction. The resulting classification is enhanced with a spatial reasoning step to solve critical geometric configurations that are common in man-made environments. We validate our approach on a synthetic test case and on a collection of real data sets acquired using commodity hardware. Finally, we show how 3D reconstruction benefits from the resulting precise change/no-change segmentation.</abstract>
    <source>COMPUTER GRAPHICS FORUM (PRINT), vol. 35 (issue 6), pp. 33-45</source>
    <projects>
        <project>
            <openaireId>corda_______::3b45c0f904dd7bff10530346ed59d3e2</openaireId>
            <code>323567</code>
            <name>Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds</name>
            <acronym>HARVEST4D</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:95</infoId>
            <name>Palma, Gianpaolo</name>
            <orcid>0000-0002-1032-2092</orcid>
            <affiliation code="dnet:pers:95" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>[BCWR08] BUTKIEWICZ T., CHANG R., WARTELL Z., RIBARSKY W.: Visual analysis and semantic exploration of urban lidar change detection. In Proceedings of the 10th Joint Eurographics / IEEE - VGTC Conference on Visualization (Eindhoven, The Netherlands, 2008), Eurographics Association, pp. 903-910. 3</citation>
        <citation>[CCC 08] CIGNONI P., CALLIERI M., CORSINI M., DELLEPIANE M., GANOVELLI F., RANZUGLIA G.: Meshlab: an opensource mesh processing tool. In Eurographics Italian Chapter Conference (Salerno, 2008), Scarano V., Chiara R. D., Erra U., (Eds.), Eurographics, pp. 129-136. 12</citation>
        <citation>[CCS12] CORSINI M., CIGNONI P., SCOPIGNO R.: Efficient and flexible sampling with blue noise properties of triangular meshes. Visualization and Computer Graphics, IEEE Transactions on 18, 6 (June 2012), 914-924. 5</citation>
        <citation>[CRS98] CIGNONI P., ROCCHINI C., SCOPIGNO R.: Metro: Measuring error on simplified surfaces. Computer Graphics Forum 17, 2 (1998), 167-174. 3</citation>
        <citation>[DP13] DENNING J. D., PELLACINI F.: Meshgit: Diffing and merging meshes for polygonal modeling. ACM Transaction on Graphics 32, 4 (July 2013), 35:1-35:10. 3</citation>
        <citation>[GG07] GUENNEBAUD G., GROSS M.: Algebraic point set surfaces. ACM Transaction on Graphics 26, 3 (July 2007). 2</citation>
        <citation>[GGG08] GUENNEBAUD G., GERMANN M., GROSS M. H.: Dynamic sampling and rendering of algebraic point set surfaces. Compututer Graphics Forum 27, 2 (2008), 653-662. 2</citation>
        <citation>[HDD 92] HOPPE H., DEROSE T., DUCHAMP T., MCDONALD J., STUETZLE W.: Surface reconstruction from unorganized points. SIGGRAPH Comput. Graph. 26, 2 (July 1992), 71-78. 4</citation>
        <citation>[KKSZ09] KRIEGEL H.-P., KRÖGER P., SCHUBERT E., ZIMEK A.: Loop: Local outlier probabilities. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (Hong Kong, China, 2009), ACM, pp. 1649-1652. 4</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359543</identifier>
    <title>Sperimentazione del Sistema Ministeriale SICaR w/b per la gestione e la consultazione informatizzata dei dati sulla policromia</title>
    <creators>
        <creator orcid="0000-0001-7764-8671">Siotto E</creator>
        <creator>Baracchini C</creator>
        <creator>Santamaria U</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>DBMS testing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.19282/ac.27.2016.07</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316545</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359543/2016_%20359543.published.pdf?id=people______%3A%3Aa09fd48d7d3a2b1e6485a830d9c8de8f</url>
        <url hostedBy="www.insegnadelgiglio.it" rights="Open Access">http://www.insegnadelgiglio.it/prodotto/abbonamento-archeologia-e-calcolatori/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316545/1/prod_359543-doc_117982.pdf</url>
    </urls>
    <dois>
        <doi>10.19282/ac.27.2016.07</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The need for integration and sharing of data on ancient polychromy requires common working methods and tools. This paper illustrates the first effort in this direction thanks to the testing of the web-based Information System documentation for the Restoration of Yards (SICaR) of Italian Ministry of Cultural Heritage and Tourism (MiBACT). This testing activity has generated some proposals of change that have been implemented to enable the archaeological and scientific information to document and manage the standardized data about the ancient polychromy in Cultural Heritage.</abstract>
    <source>ARCHEOLOGIA E CALCOLATORI, vol. 27, pp. 131-151</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:178</infoId>
            <name>Siotto, Eliana</name>
            <orcid>0000-0001-7764-8671</orcid>
            <affiliation code="dnet:pers:178" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359672</identifier>
    <title>A tool-chain for statistical spatio-temporal model checking of bike sharing systems</title>
    <creators>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
        <creator>Paskauskas R</creator>
        <creator>Vandin A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Bike-sharing</subject>
        <subject>Statistical Model-checking</subject>
        <subject>Smart cities</subject>
        <subject>F.4.1 MATHEMATICAL LOGIC AND FORMAL LANGUAGES. Mathematical Logic</subject>
        <subject>Spatial Logics Model-checking</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification</subject>
        <subject>Spatial Logics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47166-2_46</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318789</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007/978-3-319-47166-2_46</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359672/2016_359672.postprint.pdf?id=people______%3A%3A330f3f44bee6b49cefb47821b075432e</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47166-2_46</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318789/2/prod_359672-doc_159246.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318789&amp;bitstreamId=e61a0418-2533-494e-8a7d-90e6d5b62b13</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47166-2_46</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Prominent examples of collective systems are often encountered when analysing smart cities and smart transportation systems. We propose a novel modelling and analysis approach combining statistical model checking, spatio-temporal logics, and simulation. The proposed methodology is applied to modelling and statistical analysis of user behaviour in bike sharing systems. We present a tool-chain that integrates the statistical analysis toolkit MultiVeStA, the spatio-temporal model checker topochecker, and a bike sharing systems simulator based on Markov renewal processes. The obtained tool allows one to estimate, up to a user-specified precision, the likelihood of specific spatio-temporal formulas, such as the formation of clusters of full stations and their temporal evolution.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:381</infoId>
            <name>Paskauskas, Rytis</name>
            <affiliation code="dnet:pers:381" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-319-47166-2_46" url="https://dx.doi.org/10.1007/978-3-319-47166-2_46">A Tool-Chain for Statistical Spatio-Temporal Model Checking of Bike Sharing Systems</dataset>
        <dataset doi="10.4230/lipics.mfcs.2020.66" url="https://dx.doi.org/10.4230/lipics.mfcs.2020.66">Analysing Spatial Properties on Neighbourhood Spaces</dataset>
        <dataset doi="10.1007/978-3-030-18744-6_3" url="https://dx.doi.org/10.1007/978-3-030-18744-6_3">Statistical Model Checking of Hazards in an Autonomous Tramway Positioning System</dataset>
        <dataset doi="10.1007/978-3-030-03421-4_24" url="https://dx.doi.org/10.1007/978-3-030-03421-4_24">Statistical Model Checking of a Moving Block Railway Signalling Scenario with Uppaal SMC</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359675</identifier>
    <title>An ontology-based affective computing approach for passenger safety engagement on cruise ships</title>
    <creators>
        <creator>Cinquepalmi A</creator>
        <creator orcid="0000-0001-5998-6757">Straccia U</creator>
    </creators>
    <publisher>IARIA PRESS</publisher>
    <subjects>
        <subject>Affective computing</subject>
        <subject>Fuzzy Logic</subject>
        <subject>Semantic Web</subject>
        <subject>I.2.4 ARTIFICIAL INTELLIGENCE. Knowledge Representation Formalisms and Methods</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318792</url>
        <url hostedBy="sisinflab.poliba.it" rights="Open Access">http://sisinflab.poliba.it/publications/2016/CS16/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318792/1/prod_359675-doc_118037.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The safety of cruise passengers is a key element for a cruise company. Among various aspects, the ability to interpret and recognize cruisers' emotions, so that he/she feel safe, plays a central role in human communication. Affective computing addresses the computational processing of emotions. Current automatic emotion recognizers basically use automated classification tools to label emotions without capturing relations between biosignals and observations measured by the various sensors. This work proposes instead an Ontology Web Language (OWL) ontology-based emotion recognition framework by (i) monitoring human body vital signals through wearable, noninvasive sensors; and then the (ii) emotion detection is based on a ontology-based matchmaking process via non-standard automated reasoning services. A key factor is the use of so-called vague/fuzzy concepts, which are intrinsic in the realm of emotions and their dynamic evolution. To this end, we exploit Fuzzy Description Logics (Fuzzy DLs), which are the logical foundation of fuzzy OWL ontologies, i.e., OWL ontologies extended with vague/fuzzy concepts. An early prototype has been implemented w.r.t. a reference dataset and a preliminary experiment has being carried out with the aim to monitor the emotions experienced by cruise passengers while viewing safety video instructions.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1409</infoId>
            <name>Straccia, Umberto</name>
            <orcid>0000-0001-5998-6757</orcid>
            <affiliation code="dnet:pers:1409" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359676</identifier>
    <title>Multi-view ambient occlusion for enhancing visualization of raw scanning data</title>
    <creators>
        <creator>Sabbadin M</creator>
        <creator orcid="0000-0002-1032-2092">Palma G</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher>The Eurographics Association</publisher>
    <subjects>
        <subject>Ambient Occlusion</subject>
        <subject>Rendering</subject>
        <subject>3D Acquisition</subject>
        <subject>I.3.3 COMPUTER GRAPHICS. Picture/Image Generation. Display algorithms</subject>
        <subject>I.3.3 COMPUTER GRAPHICS. Picture/Image Generation. Digitizing and scanning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/gch20161379</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/gch.20161379</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318793</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318793&amp;bitstreamId=8f039a47-af54-4460-89cf-ed1f11ebd214</url>
    </urls>
    <dois>
        <doi>10.2312/gch.20161379</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The correct understanding of the 3D shape is a crucial aspect to improve the 3D scanning process, especially in order to perform high quality and as complete as possible 3D acquisitions on the field. The paper proposes a new technique to enhance the visualization of raw scanning data based on the definition in device space of a Multi-View Ambient Occlusion (MVAO). The approach allows improving the comprehension of the 3D shape of the input geometry and, requiring almost no preprocessing, it can be directly applied to raw captured point clouds. The algorithm has been tested on different datasets: high resolution Time-of-Flight scans and streams of low quality range maps from a depth camera. The results enhance the details perception in the 3D geometry using the multi-view information to make more robust the ambient occlusion estimation</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::3b45c0f904dd7bff10530346ed59d3e2</openaireId>
            <code>323567</code>
            <name>Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds</name>
            <acronym>HARVEST4D</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:95</infoId>
            <name>Palma, Gianpaolo</name>
            <orcid>0000-0002-1032-2092</orcid>
            <affiliation code="dnet:pers:95" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/gch.20161379" url="https://dx.doi.org/10.2312/gch.20161379">Multi-View Ambient Occlusion for Enhancing Visualization of Raw Scanning Data</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359677</identifier>
    <title>Il progetto SiDOREMI</title>
    <creators>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0003-3227-3487">Carboni A</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0003-3295-408X">Curzio O</creator>
        <creator orcid="0000-0002-6862-7593">Barsocchi P</creator>
        <creator>Solari S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Gesture Tracking</subject>
        <subject>Rehabilitation</subject>
        <subject>I.5.4 PATTERN RECOGNITION. Applications</subject>
        <subject>I.2.10 Vision and Scene Understanding</subject>
        <subject>J.3 LIFE AND MEDICAL SCIENCES</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318794</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318794&amp;bitstreamId=f6862a29-4b19-4540-8992-7de4d93c8774</url>
        <url hostedBy="tecnologieperlautismo.org" rights="Restricted">http://tecnologieperlautismo.org/wp-content/uploads/2016/04/Slide-Convegno.pdf</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a gestural interface and a com-puter running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algo-rithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The aug-mented interaction with the environment helps to improve the contact with reality in subjects having autism spectrum disorders (ASD). The system has been tested on a set of young subjects and a team of psychologists has ana-lyzed the results of this experimentation. Moreover, we started to work on graphical feedback in order to realize a multichannel system.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:115</infoId>
            <name>Carboni, Andrea</name>
            <orcid>0000-0003-3227-3487</orcid>
            <affiliation code="dnet:pers:115" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:359678</identifier>
    <title>L'assistenza informatica da remoto per l'aiuto a utenti anziani e/o disabili</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
        <creator>Bianchi Bandinelli R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Remote assistance</subject>
        <subject>AAL</subject>
        <subject>Ambient assisted living</subject>
        <subject>Anziani</subject>
        <subject>Disabili</subject>
        <subject>Miscellaneous</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318795</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359678/2016_359678.pdf?id=people______%3A%3A691fe11bb15c8b8b2e609ac783d770d9</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318795/1/prod_359678-doc_118040.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This report was written for the need to provide support for users of AAL (Ambient Assisted Living) projects. These users are typically characterized by people with special needs (disabled and elderly) who generally are not very familiar with the technology and at the first difficulty they give up and do not know how to move forward. The vast majority of these users, despite being surrounded by advanced technologies, are not interested in how technology works, but they use it as an aid to solve everyday problems and as a effective support to foster socialization.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:254</infoId>
            <name>Bianchi Bandinelli, Rolando</name>
            <affiliation code="dnet:pers:254" type="Laboratorio" groupAcronym="HA" group="Domotics (2002-2016)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:359679</identifier>
    <title>Efficient M2M communications via random access satellite channels</title>
    <creators>
        <creator orcid="0000-0001-6733-1873">Bacco F M</creator>
    </creators>
    <publisher>Consiglio Nazionale delle Ricerche</publisher>
    <subjects>
        <subject>Satellite</subject>
        <subject>Random access</subject>
        <subject>IOT</subject>
        <subject>M2M</subject>
        <subject>CRDSA</subject>
        <subject>Gossiping</subject>
        <subject>Network coding</subject>
        <subject>TCP</subject>
        <subject>MQTT</subject>
        <subject>COAP</subject>
        <subject>UAV</subject>
        <subject>C.2 COMPUTER-COMMUNICATION NETWORKS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318796</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318796/1/prod_359679-doc_118041.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>According to data traffic forecast reports, the volume of data transported by Internet in 2020 will exceed the threshold of 2.0 zettabytes per year, generated by more than trillion of devices. Only a minor portion of the traffic will be generated by PCs, as commonly observed in the recent past. On the contrary, a large quota of Internet traffic is expected to be generated by TVs, tablets, smartphones, and M2M devices. In particular, it has been highlighted that M2M traffic will experience a growth rate in the order of 60%. M2M refers to technologies that allow both wireless and wired systems to communicate with other devices of the same ability, sensors and actuators, without any human intervention. M2M applications are largely diffused in several deployments and have pushed the scientific community to thoroughly investigate the network design implications. The large amount of traffic contributed by these applications will have an important impact on the design of future network architecture and on dimensioning the capacity of the telecommunication infrastructures. From this standpoint, a special note has to be reserved to the case of M2M services distributed via satellite, whose related industry is continuously increasing in size, which is the main focus of this work. More generally, the research problem can be stated as follows: a large and dense population of M2M devices exchanges short data bursts over a shared satellite medium; support for sporadic and unpredictable access activity and/or support to delay-critical applications is required. Random Access (RA) schemes for handling uncoordinated multiple access can nowadays compete with the throughput offered by typical coordinated techniques, making the former ones strongly attractive to support large populations of M2M terminals, while contemporary providing immediate access to the channel, without any reservation delays that are typical of coordinated access schemes. Therefore, the focus of this Ph.D. Thesis is on analysing, analytically and empirically, the behaviour of the most common M2M protocol stacks on RA satellite links and on suggesting guidelines to improve the achievable performance level. The first part of this Thesis presents a load control algorithm to maximize the throughput achievable by RCSTs, focusing on the exploitation of linear code prior to transmission, in order to improve the transmission robustness at the cost of some capacity waste because of the redundancy. Furthermore, an innovative hybrid access protocol is designed, aiming at allowing the coexistence of M2M and non-M2M RCSTs in the same network. The second part of this Thesis studies the performance of M2M protocol stacks via RA satellite channels, when a reliable data delivery is needed in channels suffering of erasures due to collisions. Two metrics are taken into account: the completion time, in presence of short data bursts, and the throughput, in presence of a sustained load. A cross-layer study is proposed, in order to characterize the interactions among application, transport and M2M layers of a M2M protocol stack sending data via a RA satellite channel.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:271</infoId>
            <name>Bacco, Felice Manlio</name>
            <orcid>0000-0001-6733-1873</orcid>
            <affiliation code="dnet:pers:271" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:359713</identifier>
    <title>Near-Field identification of gold nanoshells inside cells</title>
    <creators>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator>Cintio A</creator>
        <creator orcid="0000-0002-8581-3478">Cricenti A</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0003-3897-0793">Luce M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Gold nanoshells</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318830</url>
        <url hostedBy="www.superstripes.net" rights="Open Access">http://www.superstripes.net/science/9788866830597.html</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318830/1/prod_359713-doc_118186.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Because of their strongly resonant light-absorbing and light-scattering properties that depend on shape, noble metal nanoparticles (NPs) provide a new and powerful tool for innovative  light-based  approaches  both  in  nanophotonics  and  nanomedicine.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.02 Abstract in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:359730</identifier>
    <title>GPU-based approaches for shape diameter function computation and its applications focused on skeleton extraction</title>
    <creators>
        <creator>Baldacci A</creator>
        <creator>Kamenicky R</creator>
        <creator>Riecicky A</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator>Durikovic R</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
        <creator>Madaras M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Shape diameter function</subject>
        <subject>Skeleton extraction</subject>
        <subject>Skeleton texture mapping</subject>
        <subject>Depth peeling</subject>
        <subject>OpenCL</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>General Engineering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359730/2016_359730.preprint.pdf?id=people______%3A%3A808dba1c69cdc31f871c1aab0e9e5416</url>
        <url hostedBy="Computers &amp; Graphics" rights="Closed Access">https://doi.org/10.1016/j.cag.2016.06.006</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.cag.2016.06.006</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319316</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319316&amp;bitstreamId=ce2870e6-ca9e-4b5a-8f33-724aabbd2eed</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">https://www.sciencedirect.com/science/article/abs/pii/S0097849316300796?via%3Dihub</url>
    </urls>
    <dois>
        <doi>10.1016/j.cag.2016.06.006</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper two approaches for the computation of the shape diameter function (SDF) on the GPU are outlined and compared. The SDF is a scalar function describing the local thickness of an object. It can be used for consistent mesh partitioning and skeletonization. In the first approach, we have reorganized the tracing of the rays to be well suited for the rasterization hardware. To the best of our knowledge, this is the first method to show how to compute the SDF using only the rasterization hardware and without the need of any acceleration data structures. The second approach uses parallel ray casting and an octree traversal using OpenCL. We demonstrate that the first method achieves similar results as the ray casting using OpenCL. In addition, it is faster for large meshes and it is simpler to implement. Furthermore, we extend the SDF computation by fast post-processing using texture-space diffusion. The fast SDF computation can be used in many applications such as the automatic skeleton extraction as we demonstrate in the article.</abstract>
    <source>COMPUTERS &amp; GRAPHICS, vol. 59, pp. 151-159</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:252</infoId>
            <name>Baldacci, Andrea</name>
            <affiliation code="dnet:pers:252" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:359732</identifier>
    <title>Challenges to be addressed for realising an ephemeral cloud federation</title>
    <creators>
        <creator orcid="0000-0003-3643-5404">Carlini E</creator>
        <creator orcid="0000-0002-7937-4157">Coppola M</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator orcid="0000-0002-1406-828X">Mordacchini M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cloud computing</subject>
        <subject>Parallel architectures</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319318</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/359732/2016_359732.pdf?id=people______%3A%3A7e1c246e55cced91c76f24847280e398</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319318/1/prod_359732-doc_118064.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This paper sketches the challenges to address to realise a support able to achieve an Ephemeral Cloud Federation, an innovative cloud computing paradigm that enables the exploitation of a dynamic, personalised and context-aware set of resources. The aim of the Ephemeral Federation is to answer to the need of combining private data-centres with both federation of cloud providers and the resource on the edge of the network. The goal of the Ephemeral Federation is to deliver a context-aware and personalised federations of computational, data and network resources, able to manage their heterogeneity in a highly distributed deployment, which can dynamically bring data and computation close to the final user.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:102</infoId>
            <name>Carlini, Emanuele</name>
            <orcid>0000-0003-3643-5404</orcid>
            <affiliation code="dnet:pers:102" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:843</infoId>
            <name>Coppola, Massimo</name>
            <orcid>0000-0002-7937-4157</orcid>
            <affiliation code="dnet:pers:843" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:817</infoId>
            <name>Dazzi, Patrizio</name>
            <orcid>0000-0001-8504-1503</orcid>
            <affiliation code="dnet:pers:817" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:157</infoId>
            <name>Mordacchini, Matteo</name>
            <orcid>0000-0002-1406-828X</orcid>
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            <code>col_20.500.14243_99</code>
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            <acronym>08.02 Rapporto di ricerca, Relazione scientifica</acronym>
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        <inCollection>
            <code>ou_ou233</code>
            <name>Istituto di informatica e telematica - IIT</name>
            <acronym>Istituto di informatica e telematica - IIT</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:359890</identifier>
    <title>Foreword to the Special Section on Smart Tools and Applications in Computer Graphics 2015</title>
    <creators>
        <creator orcid="0000-0002-9992-825X">Biasotti S</creator>
        <creator>Giachetti A</creator>
        <creator orcid="0000-0003-2301-3173">Tarini M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>N/A</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>General Engineering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="Computers &amp; Graphics" rights="Closed Access">https://doi.org/10.1016/j.cag.2016.07.005</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.cag.2016.07.005</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/321769</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/321769&amp;bitstreamId=1d13f423-6207-468e-827d-f452785a6da3</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">http://www.sciencedirect.com/science/article/pii/S0097849316300851</url>
    </urls>
    <dois>
        <doi>10.1016/j.cag.2016.07.005</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Foreword to the Special Section on Smart Tools and Applications in Computer Graphics 2015.</abstract>
    <source>COMPUTERS &amp; GRAPHICS, pp. A3-A4</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:772</infoId>
            <name>Tarini, Marco</name>
            <orcid>0000-0003-2301-3173</orcid>
            <affiliation code="dnet:pers:772" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
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        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_75</code>
            <name>01.10 Curatela di numero monografico in rivista</name>
            <acronym>01.10 Curatela di numero monografico in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou240</code>
            <name>Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -</name>
            <acronym>Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:360297</identifier>
    <title>Nanoplasmonics issues for improving cancer treatments</title>
    <creators>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
    </creators>
    <publisher>CNR EDIZIONI</publisher>
    <subjects>
        <subject>Nanoplasmonics</subject>
        <subject>Gold nanoshells</subject>
        <subject>Near-Infrared transparency windows</subject>
        <subject>Scanning Near Field Microscopy</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/315002</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/315002&amp;bitstreamId=2ae2a42e-3fb7-41a4-92ab-7ea1586ef69b</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Photothermal therapy (PPT) as well as photodynamic therapy (PDT) are cancer treatments that use light in combination with photosensiting agents or drugs to kill cancer cells. These techniques can be greatly improved if adequately developed within the new paradigms that are emerging from theranostic nanomedicine. Because of their strongly resonant light-absorbing and light-scattering properties that depend on shape, noble metal nanoparticles (NPs) provide a new and powerful tool for innovative light-based approaches, in particular gold NPs, AuNPs. At wavelengths just beyond the visible spectrum in the near-infrared, blood and tissue are maximally transmissive....(continues)</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou167</code>
            <name>Istituto di Biofisica - IBF - Sede Secondaria Pisa</name>
            <acronym>Istituto di Biofisica - IBF - Sede Secondaria Pisa</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:360498</identifier>
    <title>Sensorized buoy for oil spill early detection</title>
    <creators>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0001-5068-2861">Pieri G</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
        <creator>Domenici C</creator>
        <creator orcid="0000-0001-8335-5541">Tonacci A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Aquatic Science</subject>
        <subject>Ocean Engineering</subject>
        <subject>Marine pollution</subject>
        <subject>Oil Spill</subject>
        <subject>E-Nose</subject>
        <subject>Sensorized Buoy</subject>
        <subject>Oceanography</subject>
        <subject>Hydrocarbon Classification</subject>
        <subject>Oil spills</subject>
        <subject>Marine Information System</subject>
        <subject>Electronic noses</subject>
        <subject>Hydrocarbons classification</subject>
        <subject>Sensorized buoy</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.mio.2016.10.002</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325482</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/360498/2016_360498.preprint.pdf?id=people______%3A%3A12220c54a9acad89e60d3ea94df46f66</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S2211122016300123</url>
        <url hostedBy="Methods in Oceanography" rights="Closed Access">https://doi.org/10.1016/j.mio.2016.10.002</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/oceans-genova.2015.7271541</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325482/2/prod_360498-doc_181155.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325482&amp;bitstreamId=05bae649-eb8a-4961-b79b-4a469ae77a68</url>
    </urls>
    <dois>
        <doi>10.1016/j.mio.2016.10.002</doi>
        <doi>10.1109/oceans-genova.2015.7271541</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The Sea is often a fragile environment to be protected against possible pollutants. In this context, the present work contributes to its safeguard by proposing a new buoy equipped with advanced sensors for the detection of oil spills. In particular, the buoy is provided with various sensors for the evaluation of both meteorological and marine parameters (e.g. waves, wind, temperature), and chemical/physical data acquired by an electronic nose system specifically designed for the detection of hydrocarbons. The electronic nose is composed of a flow chamber, a chamber equipped with photo ionization sensors, pumps and valves for air inlet and outlet, and a low-cost electronic board. The designed system samples the air above the water and produces data that are processed through two artificial neural networks allowing for a classification of detected hydrocarbons and overall pollution level. Suitable network interfaces and a connector toward a Marine Information System (MIS) allow both for real-time data visualization and for long-term assessment of water quality.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/234096/EU/Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network/ARGOMARINE</infoId>
            <openaireId>corda_______::933b8435bb4d43db603e2bbf5b6842a2</openaireId>
            <code>234096</code>
            <name>Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network</name>
            <acronym>ARGOMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:484</infoId>
            <name>Pieri, Gabriele</name>
            <orcid>0000-0001-5068-2861</orcid>
            <affiliation code="dnet:pers:484" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:360500</identifier>
    <title>International Workshop on Computational Intelligence for Multimedia Understanding</title>
    <creators>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator>Trocan M</creator>
        <creator>Prochazka A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Multimedia understanding</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ercim-news.ercim.eu" rights="Open Access">https://ercim-news.ercim.eu/en104/jea/international-workshop-on-computational-intelligence-for-multimedia-understanding</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325484</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325484/1/prod_360500-doc_118406.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Over 80 researchers from academia and industry attended a workshop on Computational Intelligence for Multimedia Understanding organized by the ERCIM MUSCLE Working Group in Prague, 29-30 October 2015.</abstract>
    <source>ERCIM NEWS, p. 4</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:360503</identifier>
    <title>Detecting socialization events in ageing people: the experience of the DOREMI project</title>
    <creators>
        <creator>Bacciu D</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
        <creator>Fortunati L</creator>
        <creator>Gallicchio C</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator>Llorente M</creator>
        <creator>Micheli A</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator orcid="0000-0003-2459-1047">Parodi O</creator>
        <creator>Valenti A</creator>
        <creator orcid="0000-0001-5457-2328">Vozzi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Exploratory Data Analysis</subject>
        <subject>Computational modeling</subject>
        <subject>K.4.0 COMPUTERS AND SOCIETY. General</subject>
        <subject>Ambient Assisted Living</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/ie.2016.28</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/ie.2016.28</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325487</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7723481/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325487&amp;bitstreamId=c3d2342e-aa5d-49ed-9823-bd56cd2e78e7</url>
    </urls>
    <dois>
        <doi>10.1109/ie.2016.28</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The detection of socialization events is useful to build indicators about social isolation of people, which is an important indicator in e-health applications. On the other hand, it is rather difficult to achieve with non-invasive solutions. This paper reports about the currently work-in-progress on the technological solution for the detection of socialization events adopted in the DOREMI project.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:213</infoId>
            <name>Fortunati, Luciano</name>
            <affiliation code="dnet:pers:213" type="Laboratorio" groupAcronym="IS" group="Information Systems Technology (2002-2016)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:507</infoId>
            <name>Parodi, Oberdan</name>
            <orcid>0000-0003-2459-1047</orcid>
            <affiliation code="dnet:pers:507" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:360508</identifier>
    <title>Steps towards a formal ontology of narratives based on narratology</title>
    <creators>
        <creator orcid="0000-0001-9024-0822">Bartalesi Lenzi V</creator>
        <creator orcid="0000-0003-0069-7429">Meghini C</creator>
        <creator orcid="0000-0002-5512-2158">Metilli D</creator>
    </creators>
    <publisher>Dagstuhl Publishing</publisher>
    <subjects>
        <subject>Semantic Web</subject>
        <subject>Digital humanities</subject>
        <subject>Ontology</subject>
        <subject>Computer Science</subject>
        <subject>H.3.7 Digital Libraries</subject>
        <subject>Digital libraries</subject>
        <subject>general works</subject>
        <subject>000 Computer science</subject>
        <subject>knowledge</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="drops.dagstuhl.de" rights="Restricted">http://drops.dagstuhl.de/opus/frontdoor.php?source_opus=6705</url>
        <url hostedBy="dx.doi.org" rights="not available">https://dx.doi.org/10.4230/oasics.cmn.2016.4</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325492</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325492&amp;bitstreamId=31b69473-3927-4370-9e75-649dd54d3cf8</url>
    </urls>
    <dois>
        <doi>10.4230/oasics.cmn.2016.4</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Narrative is emerging as a notion that may enable overcoming the limitations of the discovery functionality (only ranked lists of objects) offered by information systems to their users. We present preliminary results on modelling narratives by means of formal ontology, by introducing a conceptualization of narratives and a mathematical expression of it. Our conceptualization tries to capture fundamental notions of narratives as defined in narratology, such as fabula, narration and plot. A validation of the conceptualization and of its mathematical specification is ongoing, based on the Semantic Web standards and on the CIDOC CRM ISO standard ontology.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::4d46893df18bb77f5d817b8ce98ac56c</openaireId>
            <code>654119</code>
            <name>Pooling Activities, Resources and Tools for Heritage E-research Networking, Optimization and Synergies</name>
            <acronym>PARTHENOS</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:44</infoId>
            <name>Bartalesi Lenzi, Valentina</name>
            <orcid>0000-0001-9024-0822</orcid>
            <affiliation code="dnet:pers:44" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:730</infoId>
            <name>Meghini, Carlo</name>
            <orcid>0000-0003-0069-7429</orcid>
            <affiliation code="dnet:pers:730" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:467</infoId>
            <name>Metilli, Daniele</name>
            <orcid>0000-0002-5512-2158</orcid>
            <affiliation code="dnet:pers:467" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:360511</identifier>
    <title>Collaborative requirements elicitation in a European research project</title>
    <creators>
        <creator orcid="0000-0002-1076-0076">De Angelis G</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator>Polini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Requirements Elicitation</subject>
        <subject>D.2.1 SOFTWARE ENGINEERING. Requirements/Specifications. Elicitation methods (e.g.</subject>
        <subject>rapid prototyping</subject>
        <subject>JAD)(D.3.1)</subject>
        <subject>Wiki</subject>
        <subject>Requirements Engineering</subject>
        <subject>Collaborative Requirements</subject>
        <subject>interviews</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">https://dl.acm.org/doi/10.1145/2851613.2851760</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2851613.2851760</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325495</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/360511/2016_360511.postprint.pdf?id=people______%3A%3Ad8c1c6dcee2a35dde82b846f2b70c58d</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2851613.2851760</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325495/2/prod_360511-doc_157320.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325495&amp;bitstreamId=0f5591bc-dc29-480c-8825-21aacfc94262</url>
    </urls>
    <dois>
        <doi>10.1145/2851613.2851760</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>A relevant part of the research activities performed in European computer science institutions is funded through European Union (EU) projects. Eliciting and defining requirements for a software system in a distributed environment with heterogeneous stakeholders is generally challenging. In EU projects partners can have different objectives and views, needs are not sharply defined and communication is hampered both by differences in native spoken languages and by the physical distance of the stakeholders.This paper presents the definition and the results of applying an innovative requirements elicitation and refinement approach in the context of an EU financed project (Learn PAd). The approach combines the KJ-method and collaborative wiki-based requirement sessions to come to a set of consolidated requirements. The paper includes the lessons learnt from this experience, also it discusses both the advantages, and the drawbacks of the instantiated approach.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:809</infoId>
            <name>De Angelis, Guglielmo</name>
            <orcid>0000-0002-1076-0076</orcid>
            <affiliation code="dnet:pers:809" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-30985-5_17" url="https://dx.doi.org/10.1007/978-3-030-30985-5_17">QuOD: An NLP Tool to Improve the Quality of Business Process Descriptions</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou162</code>
            <name>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</name>
            <acronym>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:360514</identifier>
    <title>Generalized trackball for surfing over surfaces</title>
    <creators>
        <creator orcid="0000-0001-7892-894X">Malomo L</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D</subject>
        <subject>HCI</subject>
        <subject>Interaction</subject>
        <subject>Inspection</subject>
        <subject>H.5.2 INFORMATION INTERFACES AND PRESENTATION. User Interfaces</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/stag20161368</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/stag.20161368</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325498</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325498&amp;bitstreamId=18d31adf-39b9-48e6-a400-87e00e2615e0</url>
    </urls>
    <dois>
        <doi>10.2312/stag.20161368</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We present an efficient 3D interaction technique: generalizing the well known trackball approach, this technique unifies and blends the two common interaction mechanisms known as panning and orbiting. The approach allows to inspect a virtual object by navigating over its surrounding space, remaining at a chosen distance and performing an automatic panning over its surface. This generalized trackball allows an intuitive navigation of topologically complex shapes, enabling unexperienced users to visit hard-to-reach parts better and faster than with standard GUI components. The approach is based on the construction of multiple smooth approximations of the model under inspection; at rendering time, it constrains the camera to stay at a given distance to these approximations. The approach requires negligible preprocessing and memory overhead and works well for both mouse-based and touch interfaces. An informal user study confirms the impact of the proposed technique.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::3b45c0f904dd7bff10530346ed59d3e2</openaireId>
            <code>323567</code>
            <name>Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds</name>
            <acronym>HARVEST4D</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:231</infoId>
            <name>Malomo, Luigi</name>
            <orcid>0000-0001-7892-894X</orcid>
            <affiliation code="dnet:pers:231" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/stag.20161368" url="https://dx.doi.org/10.2312/stag.20161368">Generalized Trackball for Surfing Over Surfaces</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:360515</identifier>
    <title>Protein molecular dynamics using quaternions and Monte Carlo methods</title>
    <creators>
        <creator orcid="0000-0002-1590-7890">Caudai C</creator>
        <creator orcid="0000-0003-4590-0718">Zoppè M</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Molecular dynamics</subject>
        <subject>Protein models</subject>
        <subject>Quaternions</subject>
        <subject>Monte Carlo methods</subject>
        <subject>J.3 LIFE AND MEDICAL SCIENCES. Biology and Genetics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325499</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/360515/2016_360515.pdf?id=people______%3A%3Ad12dcbb463c0376c13868293739fbdbc</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325499/1/prod_360515-doc_118413.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>We present a new approach to molecular dynamics (MD) of proteins based on Monte Carlo Methods applied to atomic 3D models managed by quaternions. Classical MD simulations provide detailed information on the conformational changes of proteins and nucleic acids. Positions and movements are found as very expensive solutions to complicated differential equations. Finding a faster alternative is challenging. Atoms movements in proteins are constrained by the presence of force-fields related to thermal motion and intermolecular interaction. Our approach to MD combines quaternions, to manage the movements of atoms on their own trajectories, and Monte Carlo Methods, to perform incremental rotations and control energy values. We control the angular trajectories of atoms by using unitary quaternions (Hanson et al., 2012). Modeling molecules with quaternions allows a very handy application of Monte Carlo methods, as rotations become very easy to perform (Karney, 2007). The random incremental rotations can be made specific for each individual amino acid, following its specific propensity to motion. For example, the terminal atoms of amino acids rotate much more easily than the backbone carbons. In our case, we use different ranges of random incremental rotations for every dihedral angle in the protein chain. We carried out preliminary experiments on two small proteins, Calmoduliln (pdb 1cfc) and BPT (Shaw et al., 2010), using the data available from the PDB (Protein Data Bank).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:246</infoId>
            <name>Caudai, Claudia</name>
            <orcid>0000-0002-1590-7890</orcid>
            <affiliation code="dnet:pers:246" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
            <orcid>0000-0001-6970-4725</orcid>
            <affiliation code="dnet:pers:691" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:360516</identifier>
    <title>Reconstruction of 3D chromatin structure from chromosome conformation capture data (Release 3.1)</title>
    <creators>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
        <creator orcid="0000-0002-1590-7890">Caudai C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Chromosome conformation capture</subject>
        <subject>Computational biology</subject>
        <subject>Python source code</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Metadata Only Access">https://dx.doi.org/10.13140/rg.2.2.35785.13923</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/325500</url>
    </urls>
    <dois>
        <doi>http://dx.doi.org/10.13140/rg.2.2.35785.13923</doi>
        <doi>10.13140/rg.2.2.35785.13923</doi>
    </dois>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>This Python code has a command-line and a GUI versions, and provides an estimate of the 3D structure of the chromatin fibre in cell nuclei from the contact frequency data produced by a 'Chromosome conformation capture' experiment. The only input required is a text file containing a general real matrix of contact frequencies. In the command-line version, the related genomic resolution, along with a few geometric parameters and the parameters for tuning the estimation algorithm must be set in advance in a special section of the source code. In the GUI version, all the tuneable parameters are made available in the user interface. The whole fibre is divided in independent segments, whose structures are estimated and modelled as single elements of a lower-resolution fibre that is treated recursively in the same way, until it cannot be divided anymore into independent segments. The full-resolution chain is then reconstructed by another recursive procedure. See the Readme file and the cited references for more detail.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:246</infoId>
            <name>Caudai, Claudia</name>
            <orcid>0000-0002-1590-7890</orcid>
            <affiliation code="dnet:pers:246" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:360568</identifier>
    <title>ProgettISTI 2016</title>
    <creators>
        <creator orcid="0000-0002-6374-6657">Banterle F.</creator>
        <creator orcid="0000-0002-6862-7593">Barsocchi P.</creator>
        <creator orcid="0000-0002-7279-2727">Candela L.</creator>
        <creator orcid="0000-0003-3643-5404">Carlini E.</creator>
        <creator orcid="0000-0001-5014-5089">Carrara F.</creator>
        <creator orcid="0000-0002-3704-4133">Cassarà P.</creator>
        <creator orcid="0000-0003-1314-0574">Ciancia V.</creator>
        <creator orcid="0000-0002-8085-9338">Cintia P.</creator>
        <creator orcid="0000-0003-1815-4756">Dellepiane M.</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A.</creator>
        <creator orcid="0000-0003-1208-8321">Gabrielli L.</creator>
        <creator orcid="0000-0002-7814-5280">Germanese D.</creator>
        <creator orcid="0000-0002-7358-5607">Girardi M.</creator>
        <creator orcid="0000-0002-3683-7158">Girolami M.</creator>
        <creator orcid="0000-0002-8852-3062">Kavalionak H.</creator>
        <creator orcid="0000-0002-4864-2219">Lonetti F.</creator>
        <creator>Lulli A.</creator>
        <creator orcid="0000-0002-0377-1025">Moreo Fernandez A.</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D.</creator>
        <creator orcid="0000-0003-3183-334X">Nardini F.  M.</creator>
        <creator>Monteiro De Lira V.  C.</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F.</creator>
        <creator orcid="0000-0002-1547-6007">Pappalardo L.</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M.  A.</creator>
        <creator orcid="0000-0002-4872-9541">Reggiannini M.</creator>
        <creator orcid="0000-0002-1448-0960">Righi M.</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S.</creator>
        <creator orcid="0000-0003-3409-6189">Russo D.</creator>
        <creator orcid="0000-0001-7764-8671">Siotto E.</creator>
        <creator>Villa A.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>ProgettISTI</subject>
        <subject>ISTI Award</subject>
        <subject>J. Computer Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/316914</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/360568/2016_360568.pdf?id=people______%3A%3A33d36f7ac2c2b65d7b2cddedaed6db13</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/316914/1/prod_360568-doc_118433.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>ProgettISTI research project grant is an award for members of the Institute of Information Science and Technologies (ISTI) to provide support for innovative, original and multidisciplinary projects of high quality and potential. The choice of theme and the design of the research are entirely up to the applicants yet (i) the theme must fall under the ISTI research topics, (ii) the proposers of each project must be of diverse laboratories of the Institute and must contribute different expertise to the project idea, and (iii) project proposals should have a duration of 12 months. This report documents the procedure, the proposals and the results of the 2016 edition of the award. In this edition, ten project proposals have been submitted and three of them have been awarded.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:102</infoId>
            <name>Carlini, Emanuele</name>
            <orcid>0000-0003-3643-5404</orcid>
            <affiliation code="dnet:pers:102" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:470</infoId>
            <name>Carrara, Fabio</name>
            <orcid>0000-0001-5014-5089</orcid>
            <affiliation code="dnet:pers:470" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:322</infoId>
            <name>Cassarà, Pietro</name>
            <orcid>0000-0002-3704-4133</orcid>
            <affiliation code="dnet:pers:322" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:273</infoId>
            <name>Cintia, Paolo</name>
            <orcid>0000-0002-8085-9338</orcid>
            <affiliation code="dnet:pers:273" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:31</infoId>
            <name>Dellepiane, Matteo</name>
            <orcid>0000-0003-1815-4756</orcid>
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            <name>Esuli, Andrea</name>
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        </cnrPerson>
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            <infoId>dnet:pers:186</infoId>
            <name>Gabrielli, Lorenzo</name>
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            <affiliation code="dnet:pers:186" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
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            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
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            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:410</infoId>
            <name>Kavalionak, Hanna</name>
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            <affiliation code="dnet:pers:410" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <infoId>dnet:pers:388</infoId>
            <name>Lonetti, Francesca</name>
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            <affiliation code="dnet:pers:388" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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            <name>Moreo Fernandez, Alejandro David</name>
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            <name>Nardini, Franco Maria</name>
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            <name>Palumbo, Filippo</name>
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            <name>Pappalardo, Luca</name>
            <orcid>0000-0002-1547-6007</orcid>
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            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
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            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <name>Reggiannini, Marco</name>
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            <affiliation code="dnet:pers:168" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
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            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
            <affiliation code="dnet:pers:828" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
            <affiliation code="dnet:pers:828" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:178</infoId>
            <name>Siotto, Eliana</name>
            <orcid>0000-0001-7764-8671</orcid>
            <affiliation code="dnet:pers:178" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:361550</identifier>
    <title>Satellites, UAVs, vehicles and sensors for an integrated delay tolerant ad hoc network</title>
    <creators>
        <creator orcid="0000-0001-6733-1873">Bacco F M</creator>
        <creator orcid="0000-0001-6466-3354">Caviglione L</creator>
        <creator orcid="0000-0002-8134-7844">Gotta A</creator>
    </creators>
    <publisher>Springer International Publishing</publisher>
    <subjects>
        <subject>IoV</subject>
        <subject>C.2 COMPUTER-COMMUNICATION NETWORKS</subject>
        <subject>Satellite</subject>
        <subject>UAV</subject>
        <subject>DTN</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47081-8_11</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-47081-8_11</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/322375</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/322375&amp;bitstreamId=755f273d-655c-4add-9741-f8262bd8b789</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007%2F978-3-319-47081-8_11</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47081-8_11</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this paper, a fully meshed mobile ad hoc network is introduced as an alternative to a classical wide area network, as the Internet. Internet of Things, Internet of Vehicles, Unmanned Aerial Vehicles and satellites are the enabling technologies of such a complex scenario with support to multilevel mobility, overlaid deployments, as well as techniques offering Delay Tolerant Networks services. In this perspective, the paper provides an insight of the most relevant technolog- ical issues to guarantee a proper Quality of Service level between an Unmanned Aerial Vehicle communicating with a remote data center through a satellite link. Besides, this work also evaluates the coverage of such a concept in a metropolitan area.</abstract>
    <source>LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING, pp. 114-122</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:271</infoId>
            <name>Bacco, Felice Manlio</name>
            <orcid>0000-0001-6733-1873</orcid>
            <affiliation code="dnet:pers:271" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:744</infoId>
            <name>Gotta, Alberto</name>
            <orcid>0000-0002-8134-7844</orcid>
            <affiliation code="dnet:pers:744" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou627</code>
            <name>Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari (attivo dal 18/11/1923 al 31/12/2021)</name>
            <acronym>Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari (attivo dal 18/11/1923 al 31/12/2021)</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:361555</identifier>
    <title>An interactive multimedia system for treating autism spectrum disorder</title>
    <creators>
        <creator orcid="0000-0003-3227-3487">Carboni A</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0003-3295-408X">Curzio O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Gesture Tracking</subject>
        <subject>I.5.4 PATTERN RECOGNITION. Applic</subject>
        <subject>I.2.10 Vision and Scene Understanding</subject>
        <subject>J.3 LIFE AND MEDICAL SCIENCES</subject>
        <subject>Rehabilitation</subject>
        <subject>I.5.4 PATTERN RECOGNITION. Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-48881-3_23</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/322380</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007/978-3-319-48881-3_23</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361555/2016_361555.preprint.pdf?id=people______%3A%3Ab1975e6e1954a42458a3b6cf50fa00c2</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-48881-3_23</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/322380/2/prod_361555-doc_181216.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/322380&amp;bitstreamId=e810c17e-64a5-4db0-98de-608f294dd11e</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-48881-3_23</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a gestural interface and a computer running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algorithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The augmented interaction with the environment helps to improve the contact with reality in subjects having autism spectrum disorders (ASD). The system has been tested on a set of young subjects and a team of psychologists has analyzed the results of this experimentation. Moreover, we started to work on graphical feedback in order to realize a multichannel system.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:115</infoId>
            <name>Carboni, Andrea</name>
            <orcid>0000-0003-3227-3487</orcid>
            <affiliation code="dnet:pers:115" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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    <datasets>
        <dataset doi="10.1007/978-3-319-48881-3_23" url="https://dx.doi.org/10.1007/978-3-319-48881-3_23">An Interactive Multimedia System for Treating Autism Spectrum Disorder</dataset>
    </datasets>
    <citations/>
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            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:361564</identifier>
    <title>A multisource and multivariate dataset for indoor localization methods based on WLAN and geo-magnetic field fingerprinting</title>
    <creators>
        <creator orcid="0000-0002-6862-7593">Barsocchi P</creator>
        <creator orcid="0000-0001-7238-2181">Crivello A</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Fingerprinting</subject>
        <subject>Dataset</subject>
        <subject>C.2.1 Network Architecture and Design</subject>
        <subject>Geomagnetic Field</subject>
        <subject>Indoor Localization</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/ipin.2016.7743678</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/ipin.2016.7743678</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324120</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7743678</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324120&amp;bitstreamId=494392ea-68dd-4dd0-947b-07d130f8b75b</url>
    </urls>
    <dois>
        <doi>10.1109/ipin.2016.7743678</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Indoor localization is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologies, particularly smartwatches with built-in sensors, and personal devices, such as smartphones, are being seen as the breakthrough for making concrete the envisioned Smart Environment (SE) paradigm. In particular, scenarios devoted to indoor localization represent a key challenge to be addressed. Many works try to solve the indoor localization issue, but the lack of a common dataset or frameworks to compare and evaluate solutions represent a big barrier to be overcome in the field. The unavailability and uncertainty of public datasets hinders the possibility to compare different indoor localization algorithms. This constitutes the main motivation of the proposed dataset described herein. We collected Wi-Fi and geo-magnetic field fingerprints, together with inertial sensor data during two campaigns performed in the same environment. Retrieving sincronized data from a smartwatch and a smartphone worn by users at the purpose of create and present a public available dataset is the goal of this work.</abstract>
    <source/>
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        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:403</infoId>
            <name>Crivello, Antonino</name>
            <orcid>0000-0001-7238-2181</orcid>
            <affiliation code="dnet:pers:403" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:361588</identifier>
    <title>MobiWallet- Dissemination pack (3rd Generation)</title>
    <creators>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0002-4324-2718">Pardini F</creator>
        <creator orcid="0000-0001-5068-2861">Pieri G</creator>
        <creator orcid="0000-0001-5485-0084">Renda E</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
        <creator>Merle L</creator>
        <creator>Castineira R</creator>
        <creator>Biasu G</creator>
        <creator>Rankov A</creator>
        <creator>Lewis M</creator>
        <creator>Fell M</creator>
        <creator>Davidson S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Intelligent Transportation System; Integrated fare managemet; Dissemination;</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324560</url>
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        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324560/3/prod_361588-doc_118913.pdf</url>
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        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324560/7/prod_361588-doc_118917.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324560/8/prod_361588-doc_118918.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324560/9/prod_361588-doc_118919.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This deliverable is the final update of the dissemination pack and describes all the activities carried out towards an optimal dissemination of project aims and achievements. In addition, it contains and discusses the third generation of all the dissemination material that has been prepared during the last ten months of project life.</abstract>
    <source/>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>621027</code>
            <name>Mobility and Transport Digital Wallet</name>
            <acronym>Mobility and Transport Digital Wallet</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:170</infoId>
            <name>Pardini, Francesca</name>
            <orcid>0000-0002-4324-2718</orcid>
            <affiliation code="dnet:pers:170" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:484</infoId>
            <name>Pieri, Gabriele</name>
            <orcid>0000-0001-5068-2861</orcid>
            <affiliation code="dnet:pers:484" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361589</identifier>
    <title>Mobile mapping and visualization of indoor structures to simplify scene understanding and location awareness</title>
    <creators>
        <creator>Pintore G</creator>
        <creator orcid="0000-0002-0378-9188">Ganovelli F</creator>
        <creator>Gobbetti E</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Visualization</subject>
        <subject>I.3.3 COMPUTER GRAPHICS. Picture/Image Generation. Digitizing and scanning</subject>
        <subject>Mobile</subject>
        <subject>I.3.3 COMPUTER GRAPHICS. Picture/Image Generation. Display algorithms</subject>
        <subject>Indoor reconstruction</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361589/2016_361589.postprint.pdf?id=people______%3A%3Ae547858b90448bc161f3c7887e00faf5</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-48881-3_10</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-48881-3_10</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324561</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324561&amp;bitstreamId=94171914-99a2-47c9-8866-7cc11b5c11e6</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-48881-3_10</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-48881-3_10</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present a technology to capture, reconstruct and explore multi-room indoor structures from panorama images generated with the aid of commodity mobile devices. Our approach is motivated by the need for fast and effective systems to simplify indoor data acquisition, as required in many real-world cases where mapping the structure is more important than capturing 3D details, such as the design of smart houses. We combine and extend state-of-the-art results to obtain indoor models scaled to their real-world metric dimension, making them available for online exploration. Moreover, since our target is to assist end-users not necessarily skilled in virtual reality and 3D objects interaction, we introduce a client-server image-based navigation system, exploiting this simplified indoor structure to support a low-degree-of-freedom user interface. We tested our approach in several indoor environments and carried out a preliminary user study to assess the usability of the system by people without a specific technical background.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::ef7e00e5d533007f5b811e74d2cc6779</openaireId>
            <code>607737</code>
            <name>a Virtual Studio for Security Concepts and Operations</name>
            <acronym>VASCO</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1548</infoId>
            <name>Ganovelli, Fabio</name>
            <orcid>0000-0002-0378-9188</orcid>
            <affiliation code="dnet:pers:1548" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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    </cnrPersons>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:361603</identifier>
    <title>Il movimento dei bulbi oculari nel dinamismo percettivo di alcune illusioni ottiche</title>
    <creators>
        <creator>Beltrame R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324574</url>
        <url hostedBy="www.methodologia.it" rights="Open Access">http://www.methodologia.it/wp/WP_300_Beltrame.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324574/1/prod_361603-doc_118932.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>A past unpublished paper on the eye movement during the perception of some optical illusions.</abstract>
    <source>METHODOLOGIA, vol. WP 300, pp. 2-12</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:795</infoId>
            <name>Beltrame, Renzo</name>
            <affiliation code="dnet:pers:795" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361618</identifier>
    <title>Quantification of the effectiveness of medium voltage control policies in smart grids</title>
    <creators>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator>Xiao J</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Stochastic model-based analysis</subject>
        <subject>Power system control</subject>
        <subject>Cyber-physical systems</subject>
        <subject>Smart grids</subject>
        <subject>SAN Formalism</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/hase.2016.42</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324589</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7423167/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361618/2016_361618.postprint.pdf?id=people______%3A%3A8d5225360efc90181934c9f22a57cf2b</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/hase.2016.42</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324589/2/prod_361618-doc_162695.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324589&amp;bitstreamId=ed1cd590-160d-4653-8199-214a94ebc2c6</url>
    </urls>
    <dois>
        <doi>10.1109/hase.2016.42</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Electricity generation from renewable sources is increasing significantly, pushed by the need to meet sustainable energy goals in many countries. Control is a key enabling technology for the deployment of renewable energy systems in smart grids and to guarantee high-performance and reliable operation. To this purpose, a large variety of control strategies have been proposed or are still under investigation, posing the challenge of understanding the effectiveness of the individual solutions and their ability to face operation in critical scenarios, such as in presence of failures. In this paper we focus on the medium voltage grid control and propose a stochastic modeling framework appropriate to represent a variety of voltage control strategies and to quantify their effectiveness in terms of suitably defined metrics to trade among multiple requirements such as imposed grid stability, reliability and cost. We exercise the developed modeling framework on a benchmark grid to show concrete quantification of medium voltage control solutions in interesting grid scenarios.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f9820acd3b513882a205393d8e1ab9c9</openaireId>
            <code>318023</code>
            <name>Smart Control of Energy Distribution Grids over Heterogeneous Communication Networks</name>
            <acronym>SMARTC2NET</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1427</infoId>
            <name>Chiaradonna, Silvano</name>
            <orcid>0000-0002-0889-1990</orcid>
            <affiliation code="dnet:pers:1427" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:361620</identifier>
    <title>Le funzioni attribuite alla memoria in un approccio all'attività mentale per processi concorrenti</title>
    <creators>
        <creator>Beltrame R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cognition; Italian Operational School</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324591</url>
        <url hostedBy="www.methodologia.it" rights="Open Access">http://www.methodologia.it/wp/WP_305_Beltrame.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324591/1/prod_361620-doc_118949.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Mental activity and memory functions are integrated in a concurrent processes model.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:795</infoId>
            <name>Beltrame, Renzo</name>
            <affiliation code="dnet:pers:795" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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        <inCollection>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:361621</identifier>
    <title>Sul costruttivismo radicale di Ernst von Glaserfeld</title>
    <creators>
        <creator>Beltrame R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cognition</subject>
        <subject>Italian Operational School</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324592</url>
        <url hostedBy="www.methodologia.it" rights="Open Access">http://www.methodologia.it/wp.htm</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324592/1/prod_361621-doc_118950.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>We show that this type of radical constructivism forces a conceptual approach and an analytical way of thinking, so that the physical interaction of our organism with its environment and a synthetic way of thinking are excluded de facto.</abstract>
    <source>METHODOLOGIA, vol. WP 305, pp. 2-7</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:795</infoId>
            <name>Beltrame, Renzo</name>
            <affiliation code="dnet:pers:795" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361622</identifier>
    <title>Come ti leggo un palinsesto, e altre storie dal passato</title>
    <creators>
        <creator>Salerno</creator>
        <creator>E.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Tecnologie per la conservazione dei beni culturali</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::9acb78bb3e4e4af222dd0c64ed390f54</documentPage>
    <urls>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361622/2016_361622.pdf?id=people______%3A%3A9acb78bb3e4e4af222dd0c64ed390f54</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/361622</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This lecture tells the story of an important medieval palimpsest containing several treatises by Archimedes of Syracuse, hidden under a XIII-century liturgical text. A private project succeeded in the physical restoration of this document and in its study through noninvasive technologies. This is an example of how technology can be exploited for the study and safeguard of our cultural heritage, and gives us the opportunity to show how physical and information technologies can both improve the legibility of ancient documents and highlight details that are otherwise invisible to the human eye.</abstract>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361624</identifier>
    <title>MobiWallet - Pilot evaluation and validation (Final Report)</title>
    <creators>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
        <creator orcid="0000-0001-5485-0084">Renda E</creator>
        <creator>Parkinson A</creator>
        <creator>Davidson S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Interoperable Fare Management; Internet of Things; Factory Acceptance Testing; Site Acceptance Testing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/324595</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361624/2016_361624.pdf?id=people______%3A%3A3a17ce0423214a9796e12e64d0784012</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361624/2016_361624_2.pdf?id=people______%3A%3A3a17ce0423214a9796e12e64d0784012</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361624/2016_361624_3.pdf?id=people______%3A%3A3a17ce0423214a9796e12e64d0784012</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361624/2016_361624_4.pdf?id=people______%3A%3A3a17ce0423214a9796e12e64d0784012</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324595/1/prod_361624-doc_118953.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324595/2/prod_361624-doc_118954.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324595/3/prod_361624-doc_118955.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/324595/5/prod_361624-doc_118952.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324595&amp;bitstreamId=7207393f-881c-4478-85fd-7c61311c4a02</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This final deliverable includes the evaluation and validation of each of the pilots deployed in MobiWallet project. Having the overall methodology being described in in the interim version D5.1.1, in this final document, we discuss and motivate the changes and the improvements that were made in this period and, more importantly, we analyse the data that were collected. Several instruments including balances scorecards, pre- and post- trials surveys and focus groups are used to evaluate each pilot from different perspectives. As already stated, although each pilot has its own specificities and deploys somewhat different technologies, the monitoring framework is global and permits to understand pros and cons of the heterogeneous solutions that were experimented during the project.</abstract>
    <source/>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>621027</code>
            <name>Mobility and Transport Digital Wallet</name>
            <acronym>Mobility and Transport Digital Wallet</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361633</identifier>
    <title>A cooperative approach for pattern recognition in underwater scene understanding by multi-sensor data integration</title>
    <creators>
        <creator orcid="0000-0002-4872-9541">Reggiannini M</creator>
    </creators>
    <publisher>Consiglio Nazionale delle Ricerche</publisher>
    <subjects>
        <subject>Underwater object detection; Optical and acoustic data processing; Mosaicking; 3D reconstruction; Shape recognition;Texture analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324603</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324603&amp;bitstreamId=613a1fa8-5609-494b-a39e-293243c864f2</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Marine environments cover more than two thirds of the whole earth surface and represent an outstanding scenario for researchers and scientists. Concerned people are involved in specific topics such as marine biology, oil and gas extraction, environment pollution monitoring and cultural heritage safeguard and preservation. This peculiar environment represents a hostile framework for what concerns human or scientific operations, in particular archaeological surveys or intervention missions. Oceans' waters impose strict constraints to any kind of underwater activity, included survey, mapping, rescueing and manipulation of sunken objects. Nevertheless the world seas have become quite a concern to cultural institutions since the number of wrecks lying all over the globe seabeds has been estimated by UNESCO to be around 3 millions. This huge patrimony is currently threatened by criminal activities which have tools available to discover underwater sites and illegally remove their content. Joint efforts between cultural institutions and scientific communities have been fostered by the European Community to promote survey missions of the marine seabeds and safeguard actions aiming at the preservation of the archaeological sunken heritage. To face the complicated issues concerning any kind of human activity in the peculiar marine framework, technical operators and useful support in the devices typically used in the oceanography field. Surveys can be performed by unmanned robots and this enables efficient data capture campaigns to be carried out and allows the thorough and detailed observation of extremely remote locations, including those too deep to be easily accessed by human operators. Many typologies of robots have been devised for exploitation by oceanographers. They are usually classified as Remotely Operated Vehicles (ROV), semi-autonomous platforms requiring human operators to be maneuvered, and Autonomous Underwater Vehicles (AUV) that can be programmed to perform survey missions in a completely autonomous mode. The experimental missions carried out within this PhD activity have been performed by exploiting AUVs designed and developed in the framework of the 7th European Framework Programme project "ARchaeological RObot Systems for the World's Seas". For the project purposes, the robots have been equipped with a set of payload sensors, properly selected bearing in mind the specific mission requirements. Optical and, most notably, acoustic sensors are the natural choice to survey the sea environment. Acoustic sensors are particularly appealing because of the remarkable efficiency of acoustic propagation in the water medium. Actually acoustic waves propagate over long distances in the water and may warrant significant coverages (hundreds of meters or more) without suffering from strong energy loss. Among the Sound Navigation and Ranging (SONAR) devices, we mention the Side Scan Sonar (SSS) and the Multibeam Echosounder (MBES). The former generates maps of the seafloor, providing the operator with a large-scale but coarse-resolution visual representation of the environment. The latter returns bathymetry information of the seafloor as well. Depending on the sensor typology the spatial resolution properties may vary from meter to centimeter values. This thesis addresses the development and implementation of methods and procedures aimed at providing a robot platform with an autonomous capability to understand the marine environment without human supervision. Each sensor onboard generates a data stream and through proper processing returns a piece of information concerning the environment as seen from the specific viewpoint of the considered sensor. The fusion of the multiple pieces of information not only facilitates the acquisition of an overall picture of the environment but also allows to achieve increased reliability about the recognition of the objects in the scene and about its interpretation.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:168</infoId>
            <name>Reggiannini, Marco</name>
            <orcid>0000-0002-4872-9541</orcid>
            <affiliation code="dnet:pers:168" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_52</code>
            <name>07 Tesi</name>
            <acronym>07 Tesi</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_53</code>
            <name>07.01 Tesi di dottorato</name>
            <acronym>07.01 Tesi di dottorato</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361634</identifier>
    <title>WB@Lucca - Relazione dell'attività svolta nel periodo 03 luglio 2015 - 31 ottobre 2016</title>
    <creators>
        <creator orcid="0000-0001-9233-2712">Delmastro F</creator>
        <creator>Santoro G</creator>
        <creator>Distefano E</creator>
        <creator orcid="0000-0001-7238-2181">Crivello A</creator>
        <creator orcid="0000-0002-6862-7593">Barsocchi P</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0002-6982-242X">Mavilia F</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0003-3227-3487">Carboni A</creator>
        <creator>Tsaftaris S</creator>
        <creator>Venianaki M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Wireless Networks; Well-being; Kinect; Sleep quality</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324604</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324604&amp;bitstreamId=0222e284-c0ce-48f8-adfe-900b66525ce8</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Nel secondo ed ultimo anno del progetto Well-­being@Lucca (WB@Lucca), i gruppi di ricerca coinvolti nel parternariato hanno terminato lo sviluppo delle applicazioni definite durante il primo anno, hanno realizzato un sistema di raccolta ed analisi dei dati, ed hanno affrontato una fase di sperimentazione con alcuni soggetti volontari. In particolare, sono state completate le seguenti attività: . WP2: Monitoraggio dell'attività fisica (Resp. ISTI-­CNR) - M4-­M14 . WP3: Progettazione e sviluppo di servizi di monitoraggio delle interazioni sociali e mobile social networks (Resp. IIT-­CNR) - M4-­M14 . WP4: Integrazione dei servizi, raccolta dei dati e analisi comportamentale (Resp. IMT-­Lucca) - M14-­M28 . WP5: La sperimentazione sui volontari (ISTI-­CNR) - M18-M28.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:115</infoId>
            <name>Carboni, Andrea</name>
            <orcid>0000-0003-3227-3487</orcid>
            <affiliation code="dnet:pers:115" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:403</infoId>
            <name>Crivello, Antonino</name>
            <orcid>0000-0001-7238-2181</orcid>
            <affiliation code="dnet:pers:403" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:490</infoId>
            <name>Distefano, Emanuele</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:350</infoId>
            <name>Mavilia, Fabio</name>
            <orcid>0000-0002-6982-242X</orcid>
            <affiliation code="dnet:pers:350" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:464</infoId>
            <name>Santoro, Giuseppe</name>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361635</identifier>
    <title>PRISQUIT: a system for assessing privacy risk versus quality in data sharing</title>
    <creators>
        <creator orcid="0000-0002-4260-4473">Pratesi F</creator>
        <creator>Monreale A</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator orcid="0000-0003-3099-3835">Giannotti F</creator>
        <creator>Pedreschi D</creator>
        <creator>Yanagihara T</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Privacy risk</subject>
        <subject>Data quality</subject>
        <subject>Data format</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324605</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324605&amp;bitstreamId=df28f469-caad-4dd7-9817-f1ba076f7c2a</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Data describing human activities are an important source of knowledge useful for understanding individual and collective behavior and for developing a wide range of user services. Unfortunately, this kind of data is sensitive, because people's whereabouts may allow re-identification of individuals in a de-identified database. Therefore, Data Providers, before sharing those data, must apply any sort of anonymization to lower the privacy risks, but they must be aware and capable of controlling also the data quality, since these two factors are often a trade-off. In this paper we propose PRISQUIT (Privacy RISk versus QUalITy), a system enabling a privacy-aware ecosystem for sharing personal data. It is based on a methodology for assessing both the empirical (not theoretical) privacy risk associated to users represented in the data, and the data quality guaranteed only with users not at risk. Our proposal is able to support the Data Provider in the exploration of a repertoire of possible data transformations with the aim of selecting one specific transformation that yields an adequate trade-off between data quality and privacy risk. We study the practical effectiveness of our proposal over three data formats underlying many services, defined on real mobility data, i.e., presence data, trajectory data and road segment data.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:685</infoId>
            <name>Giannotti, Fosca</name>
            <orcid>0000-0003-3099-3835</orcid>
            <affiliation code="dnet:pers:685" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:277</infoId>
            <name>Pratesi, Francesca</name>
            <orcid>0000-0002-4260-4473</orcid>
            <affiliation code="dnet:pers:277" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
            <orcid>0000-0001-5316-6475</orcid>
            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361686</identifier>
    <title>A stochastic modelling framework to analyze smart grids control strategies</title>
    <creators>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator>Masetti G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Model based evaluation</subject>
        <subject>Performability</subject>
        <subject>Smart grids</subject>
        <subject>Stochastic activity networks</subject>
        <subject>Stochastic models</subject>
        <subject>Quantitative analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/sege.2016.7589512</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/sege.2016.7589512</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/324653</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7589512/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/324653&amp;bitstreamId=61625f87-8a14-467a-9481-639aeefc1a3a</url>
    </urls>
    <dois>
        <doi>10.1109/sege.2016.7589512</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Smart grids provide services at the basis of a number of application sectors, several of which are critical from the perspective of human life, environment or financials. It is therefore paramount to be assisted by technologies able to analyze the smart grid behavior in critical scenarios, e.g. where cyber malfunctions or grid disruptions occur. In this paper, we present a stochastic modelling framework to quantitatively assess representative indicators of the resilience and quality of service of the distribution grid, in presence of accidental faults and malicious attacks. The results from the performed analysis can be exploited to understand the dynamics of failures and to identify potential system vulnerabilities, against which appropriate countermeasures should be developed. The features of the proposed analysis framework are discussed, pointing out the strong non-linearity of the involved physics, the developed solutions to deal with control actions and the definition of indicators under analysis. A case study based on a real-world network is also presented.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1427</infoId>
            <name>Chiaradonna, Silvano</name>
            <orcid>0000-0002-0889-1990</orcid>
            <affiliation code="dnet:pers:1427" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361775</identifier>
    <title>Sul costruttivismo radicale di Ernst von Glaserfeld. Alcune aggiunte</title>
    <creators>
        <creator>Beltrame R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cognition</subject>
        <subject>Italian Operational School</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/317824</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361775/2016_361775.published.pdf?id=people______%3A%3A1b311b1c8081eb7c57e0ddde514bec13</url>
        <url hostedBy="www.methodologia.it" rights="Open Access">http://www.methodologia.it/wp.htm</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/317824/1/prod_361775-doc_119066.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Addenda to a previous paper with the same title on Methodologia online WP 305.</abstract>
    <source>METHODOLOGIA, vol. WP306</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:795</infoId>
            <name>Beltrame, Renzo</name>
            <affiliation code="dnet:pers:795" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361776</identifier>
    <title>Automatic human body morphological measurement from 3D scan acquired with low cost devices</title>
    <creators>
        <creator>Villa A.</creator>
        <creator orcid="0000-0003-3227-3487">Carboni A.</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M. A.</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Point cloud processing</subject>
        <subject>Biometry</subject>
        <subject>Kinect</subject>
        <subject>Obesity assessment</subject>
        <subject>3D scan</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::b76275b669a88d3adf0e6c3b72ae7110</documentPage>
    <urls>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361776/2016_361776.pdf?id=people______%3A%3Ab76275b669a88d3adf0e6c3b72ae7110</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/361776</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this work we present an algorithm for extracting morphological measurement from 3-D human scans acquired using Kinect v2 devices. The algorithm objective is to provide computation of classical body measures, including height, waist circumference and hip circumference and measures related to the shape, such as area and volume. It is independent from the pose and robust to noise. Exploiting the obtained measures we calculate several indices, such as waist-to-hip ratio and Barix.</abstract>
    <source>ISTI Technical reports, 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:115</infoId>
            <name>Carboni, Andrea</name>
            <orcid>0000-0003-3227-3487</orcid>
            <affiliation code="dnet:pers:115" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:456</infoId>
            <name>Villa, Andrea</name>
            <affiliation code="dnet:pers:456" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361837</identifier>
    <title>Precise orbit determination of the two LAGEOS and LARES satellites and the LARASE activities</title>
    <creators>
        <creator>Lucchesi D</creator>
        <creator>Peron R</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator>Nobili A M</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
        <creator>Visco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>Satellite Laser Ranging</subject>
        <subject>Precise Orbit Determination</subject>
        <subject>Non-Gravitational Perturbations</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to conference</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/318308</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361837/2016_361837.pdf?id=people______%3A%3A6cfd7776920d9a38ea5821e3e1b11cbf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/361837/2016_361837_1.pdf?id=people______%3A%3A6cfd7776920d9a38ea5821e3e1b11cbf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318308/1/prod_361837-doc_119085.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/318308/2/prod_361837-doc_119086.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The LAser RAnged Satellites Experiment (LARASE) research program aims to provide an original contribution in testing and verifying Einstein's theory of General Relativity (GR) in its Weak-Field and Slow-Motion (WFSM) limit by means of the powerful Satellite Laser Ranging (SLR) technique. Therefore, in this perspective, a Precise Orbit Determination (POD) of a dedicated set of passive laser-ranged satellites is required. In particular, the joint analysis of the orbit of the two LAGEOS (LAser GEOdynamic Satellite) satellites with that of the more recently launched LARES (LAser RElativity Satellite) satellite will be exploited in order to obtain precise measurements of the gravitational interaction in the field of the Earth. A major point to be reached within the activities of LARASE is to provide the relativistic measurements with an error budget of the various systematic effects (both gravitational and non-gravitational) that be robust and reliable. This requires a careful analysis of the various disturbing effects on the orbit of the considered satellites, especially for the new LARES. This activity has been planned both for the gravitational and the non-gravitational perturbations (NGP).Therefore, we started to re-visit, update and improve previous dynamical models, especially for the NGP, and we also developed new models in such a way to improve the current dynamical models used in space geodesy to account for the main perturbations acting on the orbit of LAGEOS and LARES. We focused especially on the spin dynamics, the drag effects (especially for LARES, because of its much lower height with respect to the two LAGEOS) and, at a preliminary level, the thermal ones that, as it is well known from the literature, are very important for the LAGEOS satellites. These studies are of fundamental importance not only for the objective of a reliable error budget, but also in order to improve the POD. In this context, because of the importance of the LAGEOS satellites in the fields of space geodesy and geophysics (and the foreseeable importance of LARES in the near future) we expect that all the geodetic products within those provided the International Laser Ranging Service (ILRS) will benefit of such improvements in order to contribute to the goal of a sub-mm precision in the RMS of the SLR residuals with respect to the current cm precision. In this paper we are going to focus upon the POD results we obtained for the considered satellites within the LARASE activities. The analysis strategy and models setup will be discussed, along with the POD quality in terms of fit statistics and residuals. The current level of accuracy will be briefly assessed, along with current work for its improvement. The use of empirical accelerations will be described, as well as their removal (or minor role) in the case of the implementation in the POD software of new improved dynamical models.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_49</code>
            <name>04.03 Poster in Atti di convegno</name>
            <acronym>04.03 Poster in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361838</identifier>
    <title>OSIRIS - A brief survey on ship detection, classification and identification from SAR imagery</title>
    <creators>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0001-5068-2861">Pieri G</creator>
        <creator orcid="0000-0002-4872-9541">Reggiannini M</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Synthetic Aperture Radar</subject>
        <subject>Maritime Surveillance</subject>
        <subject>SAR-based vessel identification</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318309</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318309&amp;bitstreamId=e913fcd5-f7fc-4a4e-93a6-9ebb1ecfb26f</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This report summarizes some of the recent literature on ship detection and recognition from SAR images. The main features of the SAR technique and the typical target and clutter signatures are first briefly reviewed, with particular reference to marine applications. Then, the recognition issue is split into three fundamental steps: detection- discrimination, classification, and identification. The information drawn from the literature dealing with detection-discrimination is essentially on the type of features used, with some indication on the extraction methods adopted and the results obtained in the experiments reported. This information is useful for classification and identification purposes in that the different features yield different discriminative powers. Since classification and identification are our main concern in the OSIRIS project, this survey considers the proposed strategies as potential starting points for our own implementation, mainly focusing on the number of classes that can be assigned on the basis of the features considered. An analysis of the classification algorithms proposed is only marginal here, as it will be the subject of a future, much more goal-oriented study.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:484</infoId>
            <name>Pieri, Gabriele</name>
            <orcid>0000-0001-5068-2861</orcid>
            <affiliation code="dnet:pers:484" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:168</infoId>
            <name>Reggiannini, Marco</name>
            <orcid>0000-0002-4872-9541</orcid>
            <affiliation code="dnet:pers:168" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:361839</identifier>
    <title>Giving a frame to the concept space</title>
    <creators>
        <creator orcid="0000-0002-0523-7512">Locuratolo E I</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Preservation of database concepts</subject>
        <subject>Database partitioning</subject>
        <subject>Equivalence class</subject>
        <subject>Equivalence relation</subject>
        <subject>Completeness</subject>
        <subject>Incompleteness</subject>
        <subject>Class/concept completeness</subject>
        <subject>Intensional level</subject>
        <subject>Extensional level</subject>
        <subject>Multidimensional representation</subject>
        <subject>Concept space</subject>
        <subject>Frame</subject>
        <subject>Context</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/318310</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/318310&amp;bitstreamId=6eeff671-135a-4511-8849-27cd6d4536ef</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The concept space is large, unexplored and open. Recently, concept structures preserving database concepts have been designed in the concept space. The properties of concept completeness and of class/concept completeness have been determined for the designed structures. Correct concept structures enjoying these properties delimit a subset of the concept space. Outside incompleteness holds. The properties are exploited to frame the concept space. Moreover, they are reference points for the introduction of new concepts and new concept structures in the open space. These structures can be correct, uncorrect, not necessary linked with the world of computer science. Examples of the frame applicability are given. In particular, a concept structure, representing a metaphor is introduced.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:969</infoId>
            <name>Locuratolo, Elvira Immacolata</name>
            <orcid>0000-0002-0523-7512</orcid>
            <affiliation code="dnet:pers:969" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362225</identifier>
    <title>Smart devices and applications for healthy ageing</title>
    <creators>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
        <creator orcid="0000-0003-2459-1047">Parodi O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>AAL</subject>
        <subject>Sensor networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/317656</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317656&amp;bitstreamId=335afac5-1783-485e-aecb-bffc78d5a773</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The UCD Institute of Food and Health tells us that cognitive decline, malnutrition and sedentariness are the main causes of morbidity and premature mortality in older people. However, cognitive games, sensor networks, location systems and other smart devices developed under the DOREMI project could help counter these evils.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:507</infoId>
            <name>Parodi, Oberdan</name>
            <orcid>0000-0003-2459-1047</orcid>
            <affiliation code="dnet:pers:507" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362226</identifier>
    <title>Ambiguity cues in requirements elicitation interviews</title>
    <creators>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
        <creator>Spoletini P</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher>IEEE</publisher>
    <subjects>
        <subject>Requirements Engineering</subject>
        <subject>Natural language</subject>
        <subject>Interviews</subject>
        <subject>Ambiguity in speech</subject>
        <subject>Ambiguity</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/re.2016.25</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/re.2016.25</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/317657</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7765511/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317657&amp;bitstreamId=91df241b-0eec-4370-95c1-3155200a2d7d</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317657&amp;bitstreamId=ffb5ac74-dc77-42c4-b086-691d42105fb5</url>
    </urls>
    <dois>
        <doi>10.1109/re.2016.25</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Customer-analyst interviews are considered among the most effective means to perform requirements elicitation. However, during these interviews, ambiguity can hamper commu- nication between customer and requirements analyst. Ambiguity is particularly dangerous in those cases in which the analyst misunderstands some linguistic expression of the customer, with- out being aware of the misunderstanding. On the other hand, if the analyst is able to detect ambiguous situations, this has been shown to help him/her in disclosing tacit knowledge. Indeed, the occurrence of an ambiguity might reveal the presence of unexpressed, system-relevant knowledge that needs to be elicited. Therefore, for the requirements elicitation interview to succeed, it is important for the analyst not to overlook ambiguities. To support the ambiguity-awareness of the requirements ana- lyst, this paper aims to provide a set of cues that can be identified in the linguistic expressions of the customer, and that typically lead to ambiguity. To this end, we performed 34 customer- analyst interviews, and we isolated the speech fragments that caused the ambiguity. Based on the analysis of these fragments, and leveraging the previous literature on ambiguity in written requirements, we identified a set of cues that can be used by requirements analysts as a reference handbook to detect ambiguities.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362227</identifier>
    <title>Empowering requirements elicitation interviews with vocal and biofeedback analysis</title>
    <creators>
        <creator>Spoletini P</creator>
        <creator>Brock C</creator>
        <creator>Shahwar R</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
    </creators>
    <publisher>IEEE</publisher>
    <subjects>
        <subject>Requirements Elicitation Interviews</subject>
        <subject>Requirements Engineering</subject>
        <subject>Biofeedback analysis</subject>
        <subject>Voice Analysis</subject>
        <subject>Ambiguity</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/re.2016.56</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/317658</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7765546/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362227/2016_%20362227.postprint.pdf?id=people______%3A%3A0f533be367a45201f27d309819640c73</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/re.2016.56</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/317658/1/prod_362227-doc_119241.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317658&amp;bitstreamId=da4b1a15-30c5-4a00-8e66-e03dabf528e8</url>
    </urls>
    <dois>
        <doi>10.1109/re.2016.56</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Interviews with stakeholders are the most commonly used elicitation technique, as they are considered one of the most effective ways to transfer knowledge between requirements analysts and customers. During these interviews, ambiguity is a major obstacle for knowledge transfer, as it can lead to incorrectly understood needs and domain aspects and may ultimately result in poorly defined requirements. To address this issue, previous work focused on how ambiguity is perceived on the analyst side, i.e., when the analyst perceives an expression of the customer as ambiguous. However, this work did not consider how ambiguity can affect customers, i.e., when questions from the analyst are perceived as ambiguous. Since customers are not in general trained to cope with ambiguity, it is important to provide analysts with techniques that can help them to identify these situations. To support the analysts in this task, we propose to explore the relation between a perceived ambiguity on the customer side, and changes in the voice and bio parameters of that customer. To realize our idea, we plan to (1) study how changes in the voice and bio parameters can be correlated to the levels of stress, confusion, and uncertainty of an interviewee and, ultimately, to ambiguity and (2) investigate the application of modern voice analyzers and wristbands in the context of customer-analyst interviews. To show the feasibility of the idea, in this paper we present the result of our first step in this direction: an overview of different voice analyzers and wristbands that can collect bio parameters and their application in similar contexts. Moreover, we propose a plan to carry our research out.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362228</identifier>
    <title>Measurements of general relativity precessions in the field of the Earth with laser-ranged satellites and the LARASE program</title>
    <creators>
        <creator>Lucchesi Dm</creator>
        <creator>Magnafico C</creator>
        <creator>Peron R</creator>
        <creator>Visco M</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Bassan M</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>General Relativity</subject>
        <subject>Satellite Laser Ranging</subject>
        <subject>LARASE</subject>
        <subject>Precise Orbit Determination</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/metroaerospace.2016.7573270</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/317659</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7573270/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362228/2016_362228.preprint.pdf?id=people______%3A%3A1d6b441ef5163bdd4a4359e0f6735a92</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/metroaerospace.2016.7573270</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/317659/2/prod_362228-doc_159784.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317659&amp;bitstreamId=f4c9f05d-f411-4af4-a5de-1a2472f394a5</url>
    </urls>
    <dois>
        <doi>10.1109/metroaerospace.2016.7573270</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The LAser Ranged Satellites Experiment (LARASE) is a new experiment whose main purpose is to provide precise and accurate measurements of gravitation in the weak-field and slow-motion (WFSM) limit of Einstein's theory of general relativity by means of a very precise laser tracking of geodetic satellites in orbit around the Earth. Beside the good quality of the tracking observations of the satellites orbit, guaranteed by the powerful Satellite Laser Ranging (SLR) technique of the International Laser Ranging Service (ILRS), also the quality of the dynamical models implemented in a software code plays a fundamental role in order to obtain precise and accurate measurements of relativistic physics. The models have to account for the perturbations provoked by both gravitational and non-gravitational perturbations in such a way to reduce as well as possible the difference between the observed range, from the tracking, and the computed one, from the models. In particular, LARASE is an experiment that aims to improve the dynamical models of the present best laser-ranged satellites in order to perform a precise and accurate orbit determination. This represents a first step towards new refined tests and measurements of GR in the field of the Earth. After a brief presentation of the main relativistic measurements which constitute the main goals of LARASE, the results obtained during last year will be discussed in terms of the improvements reached in the satellites orbit modelling and in their precise orbit determination.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362230</identifier>
    <title>Exploring equations ordering influence on variants of the Newton-Raphson method</title>
    <creators>
        <creator>Masetti G</creator>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Equation ordering</subject>
        <subject>Newton-Raphson methods</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1063/1.4965417</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1063/1.4965417</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/317661</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/317661&amp;bitstreamId=03dd2a17-486c-4e96-b4d8-1e751d8ada53</url>
        <url hostedBy="scitation.aip.org" rights="Restricted">http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4965417</url>
    </urls>
    <dois>
        <doi>10.1063/1.4965417</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Jacobian-free Newton-Raphson methods are general purpose iterative non-linear system solvers. The need to solve non-linear systems is ubiquitous throughout computational physics [1] and Jacobian-free Newton-Raphson methods can offer scalability, super-linear convergence and applicability. In fact, applications span from discretized PDEs [2] to power-flow problems [3]. The focus of this article is on Inexact-Newton-Krylov [2] and Quasi-Inverse-Newton [4] methods. For both of them, we prove analytically that the initial ordering of the equations can have a great impact on the numerical solution, as well as on the number of iterations to reach the solution. We also present numerical results obtained from a simple but representative case study, to quantify the impact of initial equations ordering on a concrete scenario.</abstract>
    <source>AIP CONFERENCE PROCEEDINGS (ONLINE), pp. 090053-090055. Pizzo Calabro, Italy, 19-25 June 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1427</infoId>
            <name>Chiaradonna, Silvano</name>
            <orcid>0000-0002-0889-1990</orcid>
            <affiliation code="dnet:pers:1427" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362234</identifier>
    <title>Reentry predictions of potentially dangerous uncontrolled satellites: challenges and civil protection applications</title>
    <creators>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Uncontrolled reentry</subject>
        <subject>Reentry predictions</subject>
        <subject>Uncertainty windows</subject>
        <subject>Risk objects</subject>
        <subject>Sub-satellite ground track</subject>
        <subject>Civil protection applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/317665</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362234/2016_%20362234.published.pdf?id=people______%3A%3A4cf5669952776ef78eb69299af6007a4</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/317665/1/prod_362234-doc_119245.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Currently, nearly 70% of the reentries of intact orbital objects are uncontrolled, corresponding to about 50% of the returning mass, i.e. approximately 100 metric tons per year. In 2015, 79% of the mass was concentrated in 40 upper stages and the remaining 21% mostly in about ten large spacecraft. The average mass of the sizable objects was around 2 metric tons. Predicting the reentry time and location of an uncontrolled object remains a very tricky task, being affected by various sources of inevitable uncertainty. In spite of decades of efforts, mean relative errors of 20-30% often occur. This means that even predictions issued 3 hours before reentry may be affected by an along-track uncertainty of 40,000 km (corresponding to one full orbital path), possibly halved during the last hour if further tracking data are available. This kind of information is not much useful and manageable for civil protection applications, often resulting in confusion and misunderstandings regarding its precise meaning and relevance. Therefore, specific approaches and procedures have been developed to provide understandable and unambiguous information useful for civil protection planning and applications, as shown in practice for recent reentry prediction campaigns of significant satellites (UARS, ROSAT, Phobos-Grunt, GOCE, Progress-M 27M).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362328</identifier>
    <title>Mobile reconstruction and exploration of indoor structures exploiting omnidirectional images</title>
    <creators>
        <creator>Pintore G</creator>
        <creator orcid="0000-0002-0378-9188">Ganovelli F</creator>
        <creator>Gobbetti E</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Visualization</subject>
        <subject>Digitization</subject>
        <subject>Mobile reconstruction</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2999526&amp;CFID=701230390&amp;CFTOKEN=53544309</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2999508.2999526</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2999508.2999526</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325132</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325132&amp;bitstreamId=42ca05d0-5777-4af2-a28c-3bf48125559b</url>
    </urls>
    <dois>
        <doi>10.1145/2999508.2999526</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We summarize our recent advances in acquisition, reconstruction and exploration of indoor environments with the aid of mobile devices. % Our methods enable casual users to quickly capture and recover multi-room structures coupled with their visual appearance, starting from panorama images generated with the built-in capabilities of modern mobile devices, as well as emerging low-cost 360$^circ$ cameras. % After introducing the reconstruction algorithms at the base of our approach, we show how to build applications able to generate 3D floor plans scaled to their real-world metric dimensions and capable to manage scene not necessary limited by emph{Manhattan World} assumptions. % Then, exploiting the resulting structural and visual model, we propose a client-server interactive exploration system implementing a low-DOF navigation interface, specifically developed for touch interaction on smartphones and tablets.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::ef7e00e5d533007f5b811e74d2cc6779</openaireId>
            <code>607737</code>
            <name>a Virtual Studio for Security Concepts and Operations</name>
            <acronym>VASCO</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1548</infoId>
            <name>Ganovelli, Fabio</name>
            <orcid>0000-0002-0378-9188</orcid>
            <affiliation code="dnet:pers:1548" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362332</identifier>
    <title>Indexing and retrieving the D4Science infrastructure social networking data: a search framework</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube</subject>
        <subject>D4Science</subject>
        <subject>Information retrieval</subject>
        <subject>Social networking</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325136</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325136&amp;bitstreamId=fa75dece-44f2-482c-a879-fa116f7530b6</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Science is in continuous evolution and so are the approaches and methodologies scientists demand to apply by requesting for appropriate supporting environments. These environments offer new scientific investigation possibilities by exploiting recent technology advances. In this report, we present the D4Science IT infrastructure, developed to serve the needs of various communities of practice yet based on a technology which is domain agnostic, and the D4Science web-based working environment describing the social networking applications composing it. These applications are conceptually borrowed from social networks yet adapted to deal with the scientific data practices. They offer the possibility of effectively sharing "Big Data" or scientific products by exploiting a scalable and elastic access to tools and computing capabilities provided by D4Science. We discuss an approach for a Search Framework, to be used on top of these applications originated data, offering full-text search capabilities through the use of services compliant with the cloud paradigms. We describe the key features, the use cases and the architecture design, together with its implementation, of the Search Framework explaining in detail the software components characterising it.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362345</identifier>
    <title>Advances in infrared technology and applications: introduction</title>
    <creators>
        <creator>Strojnik M</creator>
        <creator orcid="0000-0003-4233-1943">D'Acunto M</creator>
        <creator>Rogalski A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Materials Science (miscellaneous)</subject>
        <subject>Awards</subject>
        <subject>Conferences</subject>
        <subject>Industrial and Manufacturing Engineering</subject>
        <subject>Business and International Management</subject>
        <subject>Announcements</subject>
        <subject>Lectures and institutes</subject>
        <subject>News and organizational activities</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ao.osa.org" rights="Restricted">http://ao.osa.org/abstract.cfm?URI=ao-55-34-ITA1</url>
        <url hostedBy="Applied Optics" rights="not available">https://doi.org/10.1364/ao.55.00ita1</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1364/ao.55.00ita1</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/325149</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325149&amp;bitstreamId=2a030844-cddb-4256-a0f1-55cb6299e9e8</url>
    </urls>
    <dois>
        <doi>10.1364/ao.55.00ita1</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The special issue of Applied Optics on Advanced Infrared Technology and Applications(AITA) arose out of the biannual conference of the same name, most recently held in Pisa, Italy, 29 September to 2 October, 2015.</abstract>
    <source>APPLIED OPTICS (2004, ONLINE), vol. 55 (issue 34), pp. ITA1-ITA4</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:150</infoId>
            <name>D'Acunto, Mario</name>
            <orcid>0000-0003-4233-1943</orcid>
            <affiliation code="dnet:pers:150" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou328</code>
            <name>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</name>
            <acronym>Istituto di Struttura della Materia - ISM - Sede Roma Tor Vergata</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362432</identifier>
    <title>The orbital decay of the semi-major axis of LARES and the LARASE contribution to SLR measurements for applications in the fields of space Geodesy and Geophysics</title>
    <creators>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Lucchesi D M</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator>Nobili A M</creator>
        <creator>Peron R</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
        <creator>Visco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>LARES</subject>
        <subject>Precise orbit determination</subject>
        <subject>Semi-major axis decay</subject>
        <subject>Neutral atmosphere drag</subject>
        <subject>Non-gravitational perturbations</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325236</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362432/2016_362432.pdf?id=people______%3A%3A89512fdffc8965a3fdb2d2fa512636a5</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362432/2016_362432_1.pdf?id=people______%3A%3A89512fdffc8965a3fdb2d2fa512636a5</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325236/1/prod_362432-doc_119340.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325236/2/prod_362432-doc_119341.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The new laser-ranged satellite LARES (LAser RElativity Satellite) is expected to provide new refined measurements of relativistic physics as well as significant contributions to space geodesy and geophysics. The very low area-to-mass ratio of this passive and dense satellite was chosen to reduce as much as possible the disturbing effects due to the non-gravitational perturbations in order to compensate for its much lower altitude with respect to the two older LAGEOS (LAser GEOdynamic Satellite) satellites, currently the best tracked satellites of the International Laser Ranging Service network. Indeed, because of its height, about 1450 km with respect to the 5900 km of the two LAGEOS, LARES is subject to a much stronger perturbation provoked by the neutral drag than that on the two LAGEOS. From a Precise Orbit Determination (POD) of LARES over a time span of about 3.7 years we have been able to measure an orbital decay in the residuals of its semi-major axis of about 1 m/yr, that corresponds to a transversal mean acceleration of about -1.457 x 10-11 m/s^2. This POD has been obtained analyzing LARES normal points with the GEODYN II (NASA/GSFC) software. Neither the neutral drag nor the thermal effects have been included in the dynamical models of GEODYN II. By means of a modified version of the SATellite Reentry Analysis Program (SATRAP) of ISTI/CNR, the neutral drag perturbation has been computed over the same time span accounting for the measured decay and considering the real evolution of the solar and geomagnetic activities for several atmospheric models. In particular, assuming as reference for the unmodeled transversal acceleration due to the neutral atmosphere the above value, the drag coefficient estimated by SATRAP is comparable to the average value estimated by GEODYN II in a least square fit of the tracking data. This means that the current best models developed for the atmosphere behavior are able to account for the observed decay, within their errors and range of applicability. A further analysis is needed in order to extract from the observed decay a possible smaller contribution related with other unmodeled effects, as the thermal ones, acting on the satellite. In this context it will be necessary to fix the contribution of the signature of the drag and of the thermal effects in the residuals of the other orbital elements of LARES. This study falls within the activities of the LARASE (LAser RAnged Satellites Experiment) research program. LARASE main goal is to provide new and refined measurements of the relativistic effects acting on the orbit of the two LAGEOS and LARES satellites. In particular, a major point of these activities is to provide a final robust and reliable error budget for the main systematic effects of gravitational and non-gravitational origin. Therefore, a special attention is devoted to the modeling of the non-gravitational perturbations acting on these passive laser-ranged satellites. Improvements in their modeling will be useful both in the field of general relativity measurements and in those of space geodesy and geophysical applications.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362433</identifier>
    <title>The LARASE spin model of the two LAGEOS satellites and of LARES</title>
    <creators>
        <creator>Visco M</creator>
        <creator>Lucchesi D M</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator>Nobili A M</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Peron R</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>LARES</subject>
        <subject>LAGEOS</subject>
        <subject>Spin Model</subject>
        <subject>Precise Orbit Determination</subject>
        <subject>Non-Gravitational Perturbations</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325237</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362433/2016_362433.pdf?id=people______%3A%3Aef160d4a5465ba673d2e6ffe395e832d</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362433/2016_362433_1.pdf?id=people______%3A%3Aef160d4a5465ba673d2e6ffe395e832d</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325237/1/prod_362433-doc_119342.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325237/2/prod_362433-doc_119343.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Satellite Laser Ranging (SLR) represents a very important technique of the observational space geodesy. In fact, Lunar Laser Ranging, Very Long Baseline Interferometry, Global Navigation Satellite Systems, Doppler Orbitography and Radiopositioning Integrated by Satellite, together with SLR constitute the Global Geodetic Observing System (GGOS). In the context of the GGOS activities, improvements in technology and in modeling will produce advances in geodesy and geophysics as well as in General Relativity (GR) measurements. Therefore, these important research fields are not independent, but tightly related each other. The LARASE (LAser RAnged Satellites Experiment) research program has its main objectives in tests and measurements of Einstein's theory of GR via a Precise Orbit Determination (POD) from a set of geodetic satellites. In order to reach such goals by means of very precise measurements of a number of relativistic parameters (and, at the same time, to provide a robust and unassailable error budget of the main systematic effects), we are also reviewing previous models and we are developing new models of the main perturbations (both gravitational and non-gravitational) that act on the orbits of the two LAGEOS satellites and on that of LARES. Within this paper we focus on modeling the spin vector of these satellites. The spin knowledge, both in orientation and rate, is of fundamental importance in order to correctly model the thermal effects acting on the surface of these satellites. These are very important non-gravitational perturbations (NGP) that produce long-term effects on the orbit of the cited satellites, especially for the two LAGEOS, and improvements in their modeling will be very useful both in the field of GR measurements and in those of space geodesy and geophysical applications as said above. Indeed, the current RMS of the range residuals of the LAGEOS satellites, obtained by the Analysis Centers of the International Laser Ranging Service, is at the level of a few cm since 1992, down to a cm or less during last years. However, because of the incompleteness of the dynamical models of the orbit of the satellites, empirical accelerations have been strongly used to reach such results. In this context, a step forward in the models developed for the NGP will be very useful to avoid the need of empirical accelerations and it also represents an essential prerequisite to reach a sub-mm precision in the RMS of the SLR range residuals and the corresponding benefits in geophysics and geodesy, as for stations coordinates knowledge, Earth's geocenter and reference frame realization. The paper will focus upon the improvements we obtained with respect on previous models of the spin of the two LAGEOS satellites based on averaged equations for the external torques in the rapid-spin approximation, as well as in a new general model that we developed and based on the resolution of the full set of Euler equations.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362505</identifier>
    <title>Proposals for a flight experiment on active removal of a spent rocket stage</title>
    <creators>
        <creator>Makarov Y Shatrov Y</creator>
        <creator>Trushlyakov V</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Space Debris</subject>
        <subject>Active Removal (ADR)</subject>
        <subject>Kosmos-3M</subject>
        <subject>Second Stage</subject>
        <subject>Flight Experiment</subject>
        <subject>Criticality Index</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/322250</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/322250&amp;bitstreamId=0dc01cf6-413b-442b-977b-5f52f384fd44</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>In the development of scientific and methodological proposals for carrying out the flight experiment of the elements of a system for active de-orbiting of large debris from the low-orbit region of the near-Earth space, it is suggested to take the following steps: a) the development of the system should be based on international cooperation, including the phase of creating its major scientific and methodological concepts; b) as large space debris it is suggested to use a spent second stage of the space launch vehicle "Kosmos-3M" (target), being in orbit for a long time, with angular speeds slow enough to allow its docking, capture and termination of rotation by the proposed system; c) the selection of the target (from potential ~ 300 spent second stages of "Kosmos-3M" located in the low orbit protected region) for the flight experiment is carried out on the basis of the criteria developed; d) it is proposed to develop an active docking module (ADM), allowing the installation of various systems of docking, for capture, nulling the kinematic momentum of the target and its towing (mechanical, non-contact) into the disposal orbit; e) the flight experiment of the proposed technical solutions should be carried out in the co-launch of payloads using different launch vehicles and boosters; f) the long-distance guidance tasks and the de-orbiting of the [ADM + target] configuration is assigned to the booster; g) ADM's tasks include near guidance, docking with the target, capture, and target rotation braking; h) separating the ADM from the booster in the near-distance guided area, the reverse docking of the [ADM + target] configuration with the booster is performed by using a tether system; i) a controlled de-orbiting [booster + ADM + target] into the disposal orbit must be provided, ensuring its maximum burning in the atmosphere and the fall of the unburned fragments on a predetermined oceanic area with a casualty expectancy well below 0.0001. The proposed concepts do not consider such possible methods for de-orbiting the target: tether systems applied to the target, laser pulses fired to the target, solar sails, etc.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362510</identifier>
    <title>Testing general relativity with satellite laser ranging and the laser ranged satellites experiment (LARASE) research program: current results and perspectives</title>
    <creators>
        <creator>Lucchesi D M</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Peron R</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
        <creator>Visco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>Satellite laser Rìranging</subject>
        <subject>Precise orbit determination</subject>
        <subject>General relativity</subject>
        <subject>Precession measurements</subject>
        <subject>Earth's weak field</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/322255</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/322255&amp;bitstreamId=04fc6833-6b5e-4056-8cfb-5934acf8e621</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>LARASE aims to perform reliable measurements of the gravitational interaction in the weak-field and slow-motion limit of General Relativity (GR) by means of the laser tracking of the two LAGEOS and LARES satellites. These satellites are orbiting the Earth at a rather high altitude and their trajectory is known with an accuracy of a few cm level. By a least-squares fit of the ranging data it is possible to extract the GR effects on the orbital elements, namely in the Euler angles that define the orientation in space of the orbit, and by means of suitable combinations of such observables it is therefore possible to obtain the measurements of the GR precessions that arise from the Earth's gravitoelectric and gravitomagnetic fields, as well as from the de Sitter effect. These measurements represent the first step to obtain constraints of selected post-Newtonian parameter values in the field of the Earth, as well as to check the predictions of GR with respect to those of other theories for the gravitational interaction. In order to obtain these precise measurements of relativistic effects it is of primary importance to provide a reliable error budget based on an accurate evaluation of the main systematic error sources due to gravitational and nongravitational perturbations. In this talk the various ongoing LARASE activities will be presented and discussed, along with the current results regarding satellites dynamics modeling improvements, precise orbit determination and preliminary measurements of relativistic effects, with the perspectives for the final goals of this research program.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362539</identifier>
    <title>A new general model for the evolution of the spin vector of the two LAGEOS satellites and LARES and the LARASE research program</title>
    <creators>
        <creator>Lucchesi D M</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Peron R</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
        <creator>Visco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>LARES</subject>
        <subject>LAGEOS</subject>
        <subject>Spin Evolution</subject>
        <subject>Spin Model</subject>
        <subject>Precise Orbit Determination</subject>
        <subject>Non-Gravitational Perturbations</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/322279</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/322279&amp;bitstreamId=3edce0b7-ab76-48d7-9a82-e133e9eb9712</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The LARASE (LAser RAnged Satellites Experiment) research program has its main objectives in tests and measurements of general relativity (GR) via a precise orbit determination (POD) of a set of geodetic satellites. In order to reach such goals by means of very precise measurements of a number of relativistic parameters (and, at the same time, with the objective to provide a robust and unassailable error budget of the main systematic effects), beside reviewing previous models we are also developing new models for the main perturbations that act on the orbits of the two LAGEOS satellites and on that of the new LARES satellite. In this talk we focus on the modeling of the spin vector of these satellites. Indeed, the spin knowledge, both in orientation and rate, is of fundamental importance in order to correctly model the thermal effects on the surface of these satellites, as in the case of the solar Yarkovsky-Schach effect and of the Earth's Thermal drag (also known as Earth-Yarkovsky effect or Rubincam effect). These are very important non-gravitational perturbations (NGP) that produce long-term effects on the orbit of the cited satellites. Therefore, the improvement of the accuracy of the models developed to handle these NGP represents a very significant result. Such improvements, with the possibility of a more reliable POD for the satellites, will be very useful in the field of GR measurements with laser-ranged satellites, as well as in the field of space geodesy and, in general, in those of geophysics.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362665</identifier>
    <title>A stochastic model-based approach to analyze reliable energy-saving rail road switch heating systems</title>
    <creators>
        <creator orcid="0000-0002-7196-6609">Basile D</creator>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Model-based analysis</subject>
        <subject>Modeling and Simulation</subject>
        <subject>Management Science and Operations Research</subject>
        <subject>Civil and Structural Engineering</subject>
        <subject>Computer Science Applications</subject>
        <subject>Transportation</subject>
        <subject>Computer Science Applications1707 Computer Vision and Pattern Recognition</subject>
        <subject>Heating system</subject>
        <subject>Stochastic modelling</subject>
        <subject>Green IT</subject>
        <subject>Energy management</subject>
        <subject>Dependable Computing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.jrtpm.2016.03.003</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319828</url>
        <url hostedBy="Flore (Florence Research Repository)" rights="Open Access">http://hdl.handle.net/2158/1141728</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362665/2016_362665.preprint.pdf?id=people______%3A%3A7f1c0656f5172cb150c892889ec99ef6</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S2210970616300051</url>
        <url hostedBy="Journal of Rail Transport Planning &amp; Management" rights="Closed Access">https://doi.org/10.1016/j.jrtpm.2016.03.003</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319828/1/prod_362665-doc_119434.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319828&amp;bitstreamId=5e025019-14d7-41b8-af87-9fad57e7ea8b</url>
    </urls>
    <dois>
        <doi>10.1016/j.jrtpm.2016.03.003</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Rail road switch heaters are used to avoid the formation of snow and ice on top of rail road switches during the cold season, in order to guarantee their correct functioning. Effective management of the energy consumption of these devices is important to reduce the costs and minimise the environmental impact. While doing so, it is critical to guarantee the reliability of the system. In this work we analyse reliability and energy consumption indicators for a system of (remotely controlled) rail road switch heaters by developing and solving a stochastic model-based approach based on the Stochastic Activity Networks (SAN) formalism. An on-off policy is considered for heating the switches, with parametric thresholds of activation/deactivation of the heaters and considering different classes of priority. A case study has been developed inspired by a real rail road station, to practically demonstrate the application of the proposed approach to understand the impact of different thresholds and priorities on the indicators under analysis (probability of failure and energy consumption).</abstract>
    <source>JOURNAL OF RAIL TRANSPORT PLANNING &amp; MANAGEMENT, vol. 6 (issue 2), pp. 163-181</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:453</infoId>
            <name>Basile, Davide</name>
            <orcid>0000-0002-7196-6609</orcid>
            <affiliation code="dnet:pers:453" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1427</infoId>
            <name>Chiaradonna, Silvano</name>
            <orcid>0000-0002-0889-1990</orcid>
            <affiliation code="dnet:pers:1427" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-03421-4_24" url="https://dx.doi.org/10.1007/978-3-030-03421-4_24">Statistical Model Checking of a Moving Block Railway Signalling Scenario with Uppaal SMC</dataset>
        <dataset doi="10.1145/3019612.3019824" url="https://dx.doi.org/10.1145/3019612.3019824">Statistical model checking of an energy-saving cyber-physical system in the railway domain</dataset>
        <dataset doi="10.1007/978-3-030-30985-5_1" url="https://dx.doi.org/10.1007/978-3-030-30985-5_1">The Legacy of Stefania Gnesi</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362666</identifier>
    <title>Time-Dependent Gene Network Modelling by Sequential Monte Carlo</title>
    <creators>
        <creator orcid="0000-0002-0837-4707">Ancherbak S</creator>
        <creator orcid="0000-0002-2608-8034">Kuruoglu E E</creator>
        <creator>Vingron M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Biotechnology</subject>
        <subject>Dynamic Bayesian network</subject>
        <subject>Gene interaction network</subject>
        <subject>Time varying network</subject>
        <subject>Sequential Monte Carlo</subject>
        <subject>Particle filtering</subject>
        <subject>Genetics</subject>
        <subject>Multivariate analysis</subject>
        <subject>Applied Mathematics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/tcbb.2015.2496301</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319829</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7312960/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362666/2016_362666.preprint.pdf?id=people______%3A%3A6eb2e2cbf622a0965b6cadc0d2e98cf7</url>
        <url hostedBy="IEEE/ACM Transactions on Computational Biology and Bioinformatics" rights="Open Access">https://pure.mpg.de/pubman/item/item_2417077_2/component/file_2442380/Ancherbak.pdf</url>
        <url hostedBy="IEEE/ACM Transactions on Computational Biology and Bioinformatics" rights="Closed Access">https://doi.org/10.1109/tcbb.2015.2496301</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319829/2/prod_362666-doc_166310.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319829&amp;bitstreamId=8a798d46-96bd-40e0-815d-b4cca94f2f40</url>
    </urls>
    <dois>
        <doi>10.1109/tcbb.2015.2496301</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Most existing methods used for gene regulatory network modeling are dedicated to inference of steady state networks, which are prevalent over all time instants. However, gene interactions evolve over time. Information about the gene interactions in different stages of the life cycle of a cell or an organism is of high importance for biology. In the statistical graphical models literature, one can find a number of methods for studying steady-state network structures while the study of time varying networks is rather recent. A sequential Monte Carlo method, namely particle filtering (PF), provides a powerful tool for dynamic time series analysis. In this work, the PF technique is proposed for dynamic network inference and its potentials in time varying gene expression data tracking are demonstrated. The data used for validation are synthetic time series data available from the DREAM4 challenge, generated from known network topologies and obtained from transcriptional regulatory networks of S. cerevisiae. We model the gene interactions over the course of time with multivariate linear regressions where the parameters of the regressive process are changing over time.</abstract>
    <source>IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (PRINT), vol. 13 (issue 6), pp. 1183-1193</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:415</infoId>
            <name>Ancherbak, Sergiy</name>
            <orcid>0000-0002-0837-4707</orcid>
            <affiliation code="dnet:pers:415" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1539</infoId>
            <name>Kuruoglu, Ercan</name>
            <orcid>0000-0002-2608-8034</orcid>
            <affiliation code="dnet:pers:1539" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362667</identifier>
    <title>The GiraffPlus experience: from laboratory settings to test sites robustness (Short Paper)</title>
    <creators>
        <creator orcid="0000-0002-6862-7593">Barsocchi P</creator>
        <creator orcid="0000-0002-0703-9122">Cesta A</creator>
        <creator>Coraci L</creator>
        <creator orcid="0000-0002-9835-1575">Cortellessa G</creator>
        <creator orcid="0000-0003-2344-4088">De Benedictis R</creator>
        <creator orcid="0000-0001-9442-870X">Fracasso F</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0001-6458-5202">Orlandini A</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Sensor Networks</subject>
        <subject>Tele-presence Robot</subject>
        <subject>Ambient Assisted Living</subject>
        <subject>I.2.9 ARTIFICIAL INTELLIGENCE. Robotics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/cloudnet.2016.15</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/cloudnet.2016.15</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319830</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7776600/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319830&amp;bitstreamId=8f93ea2a-86be-4a18-98cc-90f74859876b</url>
    </urls>
    <dois>
        <doi>10.1109/cloudnet.2016.15</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Ambient Assisted Living (AAL) systems should offer services to the users that should be designed, tested, and delivered in real scenarios to gain robustness. This paper explores the issues of creating end-to-end services for older adults and their caregivers deploying an AAL system at home. It describes the work done for designing added value services starting from a state-of-the-art continuous data gathering infrastructure. The paper presents the general idea and its basic ingredients, then it focuses on the work done for creating services on top of the data gathering layer. In particular, it dwells on the used deployment approach and provides the results from one particular test site.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::867bd0d1c4eb429ca2d9bf1b4288068c</openaireId>
            <code>288173</code>
            <name>Combing social interaction and long term monitoring for promoting independent living</name>
            <acronym>GIRAFF+</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1040</infoId>
            <name>Orlandini, Andrea</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou307</code>
            <name>Istituto di Scienze e Tecnologie della Cognizione - ISTC</name>
            <acronym>Istituto di Scienze e Tecnologie della Cognizione - ISTC</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362669</identifier>
    <title>Playing with our CAT and communication-centric applications</title>
    <creators>
        <creator orcid="0000-0002-7196-6609">Basile D</creator>
        <creator>Degano P</creator>
        <creator>Ferrari Gl</creator>
        <creator>Tuosto E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]</subject>
        <subject>Formal Verification</subject>
        <subject>[ INFO ] Computer Science [cs]</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification</subject>
        <subject>Tool</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-39570-8_5</url>
        <url hostedBy="hal.inria.fr" rights="Open Access">https://hal.inria.fr/hal-01432928/file/426757_1_En_5_Chapter.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319832</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007%2F978-3-319-39570-8_5</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362669/2016_362669.preprint.pdf?id=people______%3A%3Aa3ca95c1b01ab27f04a652c84e13f0e2</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-39570-8_5</url>
        <url hostedBy="Hyper Article en Ligne" rights="not available">https://hal.inria.fr/hal-01432928</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319832/2/prod_362669-doc_119438.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319832&amp;bitstreamId=ad651f2c-d452-4b07-8e7a-2b602de6a449</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-39570-8_5</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We describe CAT, a toolkit supporting the analysis of communication-centric applications, i.e., applications consisting of ensembles of interacting services. Services are modelled in CAT as contract automata and communication safety is defined in terms of agreement properties. With the help of a simple (albeit non trivial) example, we demonstrate how CAT can (i) verify agreement properties, (ii) synthesise an orchestrator enforcing communication safety, (iii) detect misbehaving services, and (iv) check when the services form a choreography. The use of mixed-integer linear programming is a distinguished characteristic of CAT that allows us to verify context-sensitive properties of agreement.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:453</infoId>
            <name>Basile, Davide</name>
            <orcid>0000-0002-7196-6609</orcid>
            <affiliation code="dnet:pers:453" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-22397-7_8" url="https://dx.doi.org/10.1007/978-3-030-22397-7_8">Bridging the Gap Between Supervisory Control and Coordination of Services: Synthesis of Orchestrations and Choreographies</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362671</identifier>
    <title>Tuning energy consumption strategies in the railway domain: A model-based approach</title>
    <creators>
        <creator orcid="0000-0002-7196-6609">Basile D</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Model-based analysis</subject>
        <subject>C.4 PERFORMANCE OF SYSTEMS</subject>
        <subject>C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS</subject>
        <subject>I.6 SIMULATION AND MODELING</subject>
        <subject>Green IT</subject>
        <subject>Dependable Computing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47169-3_23</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319834</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007%2F978-3-319-47169-3_23</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362671/2016_362671.postprint.pdf?id=people______%3A%3A94440b0a25e756ec4c237314dc4f07ff</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47169-3_23</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319834/3/prod_362671-doc_159685.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319834&amp;bitstreamId=475f70c7-d0e1-40de-8936-27335940aa11</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319834&amp;bitstreamId=db012e93-399a-4b7f-8c9f-eaa7e0c15273</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47169-3_23</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Cautious usage of energy resources is gaining great attention nowadays, both from environmental and economical point of view. Therefore, studies devoted to analyze and predict energy consumption in a variety of application sectors are becoming increasingly important, especially in combination with other non-functional properties, such as reliability, safety and availability. This paper focuses on energy consumption strategies in the railway sector, addressing in particular rail road switches through which trains are guided from one track to another. Given the criticality of their task, the temperature of these devices needs to be kept above certain levels to assure their correct functioning. By applying a stochastic model-based approach, we analyse a family of energy consumption strategies based on thresholds to trigger the activation/deactivation of energy supply. The goal is to offer an assessment framework through which appropriate tuning of threshold-based energy supply solutions can be achieved, so to select the most appropriate one, resulting in a good compromise between energy consumption and reliability level.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:453</infoId>
            <name>Basile, Davide</name>
            <orcid>0000-0002-7196-6609</orcid>
            <affiliation code="dnet:pers:453" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-00253-4_18" url="https://dx.doi.org/10.1007/978-3-030-00253-4_18">On Quantitative Assessment of Reliability and Energy Consumption Indicators in Railway Systems</dataset>
        <dataset doi="10.1007/978-3-030-18744-6_3" url="https://dx.doi.org/10.1007/978-3-030-18744-6_3">Statistical Model Checking of Hazards in an Autonomous Tramway Positioning System</dataset>
        <dataset doi="10.1007/978-3-030-03421-4_24" url="https://dx.doi.org/10.1007/978-3-030-03421-4_24">Statistical Model Checking of a Moving Block Railway Signalling Scenario with Uppaal SMC</dataset>
        <dataset doi="10.1145/3019612.3019824" url="https://dx.doi.org/10.1145/3019612.3019824">Statistical model checking of an energy-saving cyber-physical system in the railway domain</dataset>
        <dataset doi="10.1007/978-3-319-47169-3_23" url="https://dx.doi.org/10.1007/978-3-319-47169-3_23">Tuning Energy Consumption Strategies in the Railway Domain: A Model-Based Approach</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362673</identifier>
    <title>Experiments in formal modelling of a deadlock avoidance algorithm for a CBTC system</title>
    <creators>
        <creator orcid="0000-0003-4562-8777">Mazzanti F</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
        <creator orcid="0000-0002-7771-0882">Spagnolo Go</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Deadlock Avoidance</subject>
        <subject>Model Checking</subject>
        <subject>Railway</subject>
        <subject>D.2.10 SOFTWARE ENGINEERING. Design</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Model checking</subject>
        <subject>Formal methods</subject>
        <subject>D.2.10 SOFTWARE ENGINEERING. Methodologies Soggetto_ACMD.2.4 SOFTWARE ENGINEERING. Software/Program Verification</subject>
        <subject>Train Scheduling</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-47169-3_22</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319836</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007%2F978-3-319-47169-3_22</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362673/2016_362673.postprint.pdf?id=people______%3A%3Afcbe5c74abcd03169a28f9058bccfa74</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47169-3_22</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319836/2/prod_362673-doc_159226.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319836&amp;bitstreamId=84e60094-a1b4-4b7f-a636-b1bab480d3e7</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47169-3_22</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This paper presents a set of experiments in formal modelling and verification of a deadlock avoidance algorithm of an Automatic Train Supervision System (ATS). The algorithm is modelled and verified using four formal environment, namely UMC, Promela/SPIN, NuSMV, and mCRL2. The experience gained in this multiple modelling/verification experiments is described. We show that the algorithm design, structured as a set of concurrent activities cooperating through a shared memory, can be replicated in all the formal frameworks taken into consideration with relative effort. In addition, we highlight specific peculiarities of the various tools and languages, which emerged along our experience.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1330</infoId>
            <name>Mazzanti, Franco</name>
            <orcid>0000-0003-4562-8777</orcid>
            <affiliation code="dnet:pers:1330" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:267</infoId>
            <name>Spagnolo, Giorgio Oronzo</name>
            <orcid>0000-0002-7771-0882</orcid>
            <affiliation code="dnet:pers:267" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
            <affiliation code="dnet:pers:267" type="Centro" groupAcronym="SSE" group="System and Software Evaluation (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-319-68499-4_15" url="https://dx.doi.org/10.1007/978-3-319-68499-4_15">Dependable Dynamic Routing for Urban Transport Systems Through Integer Linear Programming</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362675</identifier>
    <title>Implementing virtual pheromones in BDI robots using MQTT and Jason (Short Paper)</title>
    <creators>
        <creator>Bottone M</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Primiero G</creator>
        <creator>Raimondi F</creator>
        <creator>Stocker R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Stigmergy</subject>
        <subject>I.2.9 ARTIFICIAL INTELLIGENCE. Robotics</subject>
        <subject>Cloud robotics</subject>
        <subject>Multi-agent systems</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="eprints.mdx.ac.uk" rights="Open Access">https://eprints.mdx.ac.uk/21921/1/pheromones_bare_conf_published.pdf</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/cloudnet.2016.22</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/cloudnet.2016.22</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319838</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7776601/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319838&amp;bitstreamId=f60df558-5dc7-4a12-a38b-8fd53af89062</url>
    </urls>
    <dois>
        <doi>10.1109/cloudnet.2016.22</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Robotic coordination is a crucial issue in the development of many applications in swarm robotics, ranging from mapping unknown and potentially dangerous areas to the synthesis of plans to achieve complex tasks such as moving goods between locations under resource constraints. In this context, stigmergy is a widely employed approach to robotic coordination based on the idea of interacting with the environment by means of markers called pheromones. Pheromones do not need to be "physical marks", and a number of works have investigated the use of digital, virtual pheromones. In this paper, we show how the concept of virtual pheromones can be implemented in Jason, a Java-based interpreter for an extended version of AgentSpeak, providing a high-level modelling and execution environment for multi-agent systems. We also exploit MQTT, a messaging infrastructure for the Internet-of-Things. This allows the implementation of stigmergic algorithms in a high-level declarative language, building on top of low-level infrastructures typically used only for controlling sensors and actuators.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362678</identifier>
    <title>Fast metric acquisition with mobile devices</title>
    <creators>
        <creator>Garro V</creator>
        <creator>Pintore G</creator>
        <creator orcid="0000-0002-0378-9188">Ganovelli F</creator>
        <creator>Gobbetti E</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Metric acquisition</subject>
        <subject>Sensor fusion</subject>
        <subject>Mobile devices</subject>
        <subject>I.3.3 COMPUTER GRAPHICS. Picture/Image Generation-Digitizing and scanning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">http://diglib.eg.org/handle/10.2312/vmv20161339</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/vmv.20161339</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319841</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319841&amp;bitstreamId=83d80edc-2653-43d5-91f6-96a017f18a8b</url>
    </urls>
    <dois>
        <doi>10.2312/vmv.20161339</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We present a novel algorithm for fast metric reconstruction on mobile devices using a combination of image and inertial acceleration data. In contrast to previous approaches to this problem, our algorithm does not require a long acquisition time or intensive data processing and can be implemented entirely on common IMU-enabled tablet and smartphones. The method recovers real world units by comparing the acceleration values from the inertial sensors with the ones inferred from images. In order to cope with IMU signal noise, we propose a novel RANSAC-like strategy which helps to remove the outliers. We demonstrate the effectiveness and the accuracy of our method through an integrated mobile system returning point clouds in metric scale.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::ef7e00e5d533007f5b811e74d2cc6779</openaireId>
            <code>607737</code>
            <name>a Virtual Studio for Security Concepts and Operations</name>
            <acronym>VASCO</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1548</infoId>
            <name>Ganovelli, Fabio</name>
            <orcid>0000-0002-0378-9188</orcid>
            <affiliation code="dnet:pers:1548" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/vmv.20161339" url="https://dx.doi.org/10.2312/vmv.20161339">Fast Metric Acquisition with Mobile Devices</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362680</identifier>
    <title>Ensuring action: identifying unclear actor specifications in textual business process descriptions</title>
    <creators>
        <creator>Sanne U</creator>
        <creator>Witschel H F</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>D.2 SOFTWARE ENGINEERING</subject>
        <subject>Document quality</subject>
        <subject>D.2.1 SOFTWARE EN</subject>
        <subject>Natural language processing</subject>
        <subject>Business process management</subject>
        <subject>Quality assessment</subject>
        <subject>Ambiguity</subject>
        <subject>D.2.1 SOFTWARE ENGINEERING. Requirements/Specifications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Open Access">https://doi.org/10.5220/0006040301400147</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5220/0006040301400147</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319843</url>
        <url hostedBy="www.scitepress.org" rights="Open Access">http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220%2f0006040301400147</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319843/1/prod_362680-doc_119445.pdf</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-85006980039&amp;partnerID=MN8TOARS</url>
    </urls>
    <dois>
        <doi>10.5220/0006040301400147</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In many organisations, business process (BP) descriptions are available in the form of written procedures, or operational manuals. These documents are expressed in informal natural language, which is inherently open to different interpretations. Hence, the content of these documents might be incorrectly interpreted by those who have to put the process into practice. It is therefore important to identify language defects in written BP descriptions, to ensure that BPs are properly carried out. Among the potential defects, one of the most relevant for BPs is the absence of clear actors in action-related sentences. Indeed, an unclear actor might lead to a missing responsibility, and, in turn, to activities that are never performed. This paper aims at identifying unclear actors in BP descriptions expressed in natural language. To this end, we define an algorithm named ABIDE, which leverages rule-based natural language processing (NLP) techniques. We evaluate the algorithm on a manually annotated data-set of 20 real-world BP descriptions (1,029 sentences). ABIDE achieves a recall of 87%, and a precision of 56%. We consider these results promising. Improvements of the algorithm are also discussed in the paper.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/619583/EU/Model-Based Social Learning for Public Administrations/LEARN PAD</infoId>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-30985-5_17" url="https://dx.doi.org/10.1007/978-3-030-30985-5_17">QuOD: An NLP Tool to Improve the Quality of Business Process Descriptions</dataset>
    </datasets>
    <citations>
        <citation>Agirre, E. and Edmonds, P. G. (2007). Word sense disambiguation: Algorithms and applications, volume 33. Springer Science &amp; Business Media.</citation>
        <citation>Ambriola, V. and Gervasi, V. (2006). On the systematic analysis of natural language requirements with Circe. ASE, 13.</citation>
        <citation>Banerjee, S. and Pedersen, T. (2003). Extended gloss overlaps as a measure of semantic relatedness. In IJCAI, volume 3, pages 805-810.</citation>
        <citation>Berry, D. M. and Kamsties, E. (2005). The syntactically dangerous all and plural in specifications. IEEE Software, 22(1):55-57.</citation>
        <citation>Berry, D. M., Kamsties, E., and Krieger, M. M. (2003). From contract drafting to software specification: Linguistic sources of ambiguity.</citation>
        <citation>Chantree, F., Nuseibeh, B., Roeck, A. N. D., and Willis, A. (2006). Identifying nocuous ambiguities in natural language requirements. In Proc. of RE'06, pages 56- 65.</citation>
        <citation>Ciabuschi, F., Perna, A., and Snehota, I. (2012). Assembling resources when forming a new business. Journal of Business Research, 65(2):220-229.</citation>
        <citation>Cunningham, H. (2002). GATE, a general architecture for text engineering. Computers and the Humanities, 36(2):223-254.</citation>
        <citation>Cutts, M. (1996). The plain English guide. Oxford University Press.</citation>
        <citation>Gleich, B., Creighton, O., and Kof, L. (2010). Ambiguity detection: Towards a tool explaining ambiguity sources. In Proc. of REFSQ'10, volume 6182 of LNCS, pages 218-232. Springer.</citation>
        <citation>Gnesi, S., Lami, G., and Trentanni, G. (2005). An automatic tool for the analysis of natural language requirements. IJCSSE, 20(1).</citation>
        <citation>Ide, N. and Ve´ronis, J. (1998). Introduction to the special issue on word sense disambiguation: the state of the art. Computational linguistics, 24(1):2-40.</citation>
        <citation>Kof, L. (2010). From requirements documents to system models: A tool for interactive semi-automatic translation. In Proc. of RE'10.</citation>
        <citation>Lee, Y. K. and Ng, H. T. (2002). An empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pages 41-48. Association for Computational Linguistics.</citation>
        <citation>Leopold, H., Eid-Sabbagh, R.-H., Mendling, J., Azevedo, L. G., and Baia˜o, F. A. (2013). Detection of naming convention violations in process models for different languages. Decision Support Systems, 56:310-325.</citation>
        <citation>Leopold, H., Mendling, J., and Polyvyanyy, A. (2014). Supporting process model validation through natural language generation. Software Engineering, IEEE Transactions on, 40(8):818-840.</citation>
        <citation>Lind, H. and Lubera, M. (2009). Battle Management Language - An Implementation for a Military Scenario Editor.</citation>
        <citation>Morimoto, S. (2008). A survey of formal verification for business process modeling. In Computational Science-ICCS 2008, pages 514-522. Springer.</citation>
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        <citation>Nawrocki, J. R., Nedza, T., Ochodek, M., and Olek, L. (2006). Describing business processes with use cases. In 9th International Conference on Business Information Systems, BIS, pages 13-27.</citation>
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    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:362682</identifier>
    <title>Healthy active ageing supported by technological environment: the DOREMI experience</title>
    <creators>
        <creator orcid="0000-0001-5457-2328">Vozzi F</creator>
        <creator>Fortunati L</creator>
        <creator>Gallicchio C</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Micheli A</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
        <creator orcid="0000-0003-2459-1047">Parodi O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ambient Assisted Living</subject>
        <subject>Ambient Intelligence</subject>
        <subject>Smart Environments</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to journal</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/s1878-7649(16)30148-6</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319845</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319845&amp;bitstreamId=4a740eac-fea9-44a7-bc5c-69adc3e20869</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">http://www.sciencedirect.com/science/article/pii/S1878764916301486</url>
    </urls>
    <dois>
        <doi>10.1016/s1878-7649(16)30148-6</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Introduction: European population aging requires the design of innovative solutions able to support, in term of quality and time, its health status. DOREMI project has developed an innovative platform able to stimulate and monitor elder people as also to be customized on user requirements. Methods: 34 older people (age 65-80 years) were involved in UK and Italy DOREMI trials (3 months). Subjects were characterized at baseline in terms of physical activity (SPPB, PASE test, daily steps/ meters, 6MWT), hemodynamic and biochemical parameters (blood pressure, HR, lipid profile, glycaemia, etc.), dietary habits (caloric intake) and balance assessment (BERG scale). Through the DOREMI technological platform, users were: stimulated to perform indoor physical activity protocol (exergame on tablet); monitored by DOREMI bracelet (heart rate monitoring); invited to fill diet e-diary, receiving nutritional advice provided by the expert through the same application; tested for balance by item-10 BERG test (DOREMI balance board). At the end of trial, users underwent the same test battery of baseline. Results: In DOREMI population an overall increase in physical activity was observed, with a significant improvement in hemodynamic (decrease in blood pressure and HR at 6MWT) and biochemical parameters (decrease in LDL, triglycerides, total cholesterol). The overall effect of dietary advice and physical activity protocol on subject's balance is under investigation. Key conclusions: An integrated approach of physical activity and diet, supported by DOREMI technological platform, represents an innovative approach to stimulate healthy and active ageing of population, with a potential cost-reduction for European health care systems in middle-long period.</abstract>
    <source>EUROPEAN GERIATRIC MEDICINE (PRINT), vol. 7 (issue 1)</source>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:507</infoId>
            <name>Parodi, Oberdan</name>
            <orcid>0000-0003-2459-1047</orcid>
            <affiliation code="dnet:pers:507" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_27</code>
            <name>01.05 Abstract in rivista</name>
            <acronym>01.05 Abstract in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362684</identifier>
    <title>ICT solution for balance assessment in elderly: the DOREMI system validation and applicability</title>
    <creators>
        <creator orcid="0000-0001-5457-2328">Vozzi F</creator>
        <creator>Fortunati L</creator>
        <creator>Gallicchio C</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Pedrelli L</creator>
        <creator>Micheli A</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
        <creator>Lanzisera S</creator>
        <creator>Carotenuto F</creator>
        <creator>Illario M</creator>
        <creator orcid="0000-0003-2459-1047">Parodi O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ambient Assisted Living</subject>
        <subject>Ambient Intelligence</subject>
        <subject>Smart Environments</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Contribution to journal</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/s1878-7649(16)30148-6</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319847</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S1878764916301486</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319847/1/prod_362684-doc_119447.pdf</url>
    </urls>
    <dois>
        <doi>10.1016/s1878-7649(16)30148-6</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Introduction: Aging process is characterized by decline of body functions: one of the major risks is represented by falls. Several screening tools/tests have been used to assess stability. We describe the integration between single-item Berg scale, Wii Balance Board and neural networks to create a new platform for balance assessment. Methods: Two cohorts of older people (age 65-80) were enrolled for DOREMI balance assessment. The BERG balance score and anthropometric parameters (weight, height, BMI) were assessed for each subject. Group 1 (25 participants) showed a BERG score between 41 and 56; Group 2 (50 participants), enrolled in collaboration with PERSSILAA project, had a wider score (20-56) allowing to test accuracy of DOREMI tool in people having severe instability. Item-10 of BERG scale has been performed on the Wii balance board, inviting participant to turn the head to look behind over toward the right shoulder and then over the left. Data signals have been collected by custom developed software and analysed by neural network system for human activity recognition. Results: In Group 1, total BERG score estimated using item-10 data presented a strong correlation with individual total BERG score test; in Group 2 data analysis is under investigation. Key conclusions: DOREMI balance assessment is simple, automated, cost-effective and time-saving ICT solution for prevention of frailty. Once validated in a broad range of BERG scale, this system could objectively predict subjects at higher risks of falls, as well as improvement in stability and/or positive evolution in physical health status after specific treatments.</abstract>
    <source>EUROPEAN GERIATRIC MEDICINE (PRINT), vol. 7 (issue 1), pp. 750-751</source>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:507</infoId>
            <name>Parodi, Oberdan</name>
            <orcid>0000-0003-2459-1047</orcid>
            <affiliation code="dnet:pers:507" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_27</code>
            <name>01.05 Abstract in rivista</name>
            <acronym>01.05 Abstract in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362687</identifier>
    <title>Present status of the neutral drag analysis on LARES and future activities</title>
    <creators>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>LARES</subject>
        <subject>Precise Orbit Determination</subject>
        <subject>Semi-major Axis Decay</subject>
        <subject>Neutral Atmosphere Drag</subject>
        <subject>Non-Gravitational Perturbations</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319850</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319850&amp;bitstreamId=968f8f31-8488-42dd-808b-57dc84338d90</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The laser-ranged satellite LARES is expected to provide new refined measurements of relativistic physics, as well as significant contributions to space geodesy and geophysics. The very low area-to-mass ratio of this passive and dense satellite was chosen to reduce as much as possible the disturbing effects of non-gravitational perturbations. However, because of its height, about 1450 km compared with about 5800-5900 km for the two LAGEOS satellites, LARES is exposed to a much stronger drag due to neutral atmosphere. From a precise orbit determination, analyzing the laser ranging normal points of LARES over a time span of about 3.7 years with the GEODYN II (NASA/GSFC) code, it was found an average semi-major axis decay rate of -0.999 m per year, corresponding to a non-conservative net force acting nearly opposite to the velocity vector of the satellite and with a mean along-track acceleration of -1.444 x 10-11 m/s^2. By means of a modified version of the SATRAP (ISTI/CNR) code, the neutral drag perturbation acting on LARES was evaluated over the same time span, taking into account the real evolution of solar and geomagnetic activities, with five thermospheric density models (JR-71, MSIS-86, MSISE-90, NRLMSISE-00 and GOST-2004). All of them were able to model most of the observed semi-major axis decay, with differences among the average drag coefficients smaller than 10%. Moreover, when the same models (JR-71 and MSIS-86) were used within GEODYN in a least-squares fit of the tracking data, the differences between the average drag coefficients estimated with SATRAP and GEODYN were of the order of 1% or less. Adding to this a further independent check carried out analyzing the orbital decay of a passive spherical satellite (Ajisai) just 40 km higher than LARES, it was then concluded that some of the currently best models developed for neutral atmosphere, within their uncertainties and range of applicability, were able to account for most (about 98.6%) of the observed semi-major axis decay of LARES. Finally, after modeling the neutral atmosphere drag in GEODYN, a residual semi-major axis decay, corresponding to an average along-track acceleration of about -2 x 10-13 m/s^2 (i.e. approximately 1/72 of neutral drag), was detected as well. It was 50%, or less, of that previously reported and is probably linked to thermal thrust effects, but further and more detailed investigations, including the detection of the signature of the periodic terms, will be needed in order to characterize such smaller non-gravitational perturbations.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362708</identifier>
    <title>Precise orbit determination of the two LAGEOS and LARES satellites and the LARASE activities</title>
    <creators>
        <creator>Lucchesi D M</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Peron R</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
        <creator>Visco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>Satellite Laser Ranging</subject>
        <subject>Precise Orbit Determination</subject>
        <subject>General Relativity</subject>
        <subject>Precession Measurements</subject>
        <subject>Earth's Weak Field</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319871</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319871&amp;bitstreamId=0101ca19-bb67-41c6-9a25-46d0f2ecfb3b</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Precise Orbit Determination of the two LAGEOS and LARES satellites and the LARASE activities.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362734</identifier>
    <title>The orbital decay of the semi-major axis of LARES and the LARASE contribution to SLR measurements for applications in the fields of space Geodesy and Geophysics</title>
    <creators>
        <creator>Lucchesi D M</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Peron R</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
        <creator>Visco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>LARES</subject>
        <subject>Precise Orbit Determination</subject>
        <subject>Semi-major Axis Decay</subject>
        <subject>Neutral Atmosphere Drag</subject>
        <subject>Non-Gravitational Perturbations</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319896</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319896&amp;bitstreamId=2665922e-8b9e-4726-840c-08c63ef68770</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The orbital decay of the semi-major axis of LARES and the LARASE contribution to SLR measurements for applications in the fields of space geodesy and geophysics.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362796</identifier>
    <title>Formal methods and safety certification: Challenges in the railways domain</title>
    <creators>
        <creator>Fantechi A</creator>
        <creator orcid="0000-0002-0636-5663">Ferrari A</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>D.2 SOFTWARE ENGINEERING</subject>
        <subject>Interlocking</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Model checking</subject>
        <subject>Model checking</subject>
        <subject>D.</subject>
        <subject>Automatic train protection</subject>
        <subject>Formal methods</subject>
        <subject>D.2.4 SOFTWARE ENGINEERING. Software/Program Verification</subject>
        <subject>Railway applications</subject>
        <subject>D.2.2 SOFTWARE ENGINEERING. Design Tools and Techniques</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-47169-3_18</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-47169-3_18</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319988</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319988&amp;bitstreamId=66208452-3b8e-46be-a91d-6a136a3dd200</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319988&amp;bitstreamId=cb6e4f87-2696-4f59-9949-180cfa8d111a</url>
        <url hostedBy="link.springer.com" rights="Restricted">https://link.springer.com/chapter/10.1007%2F978-3-319-47169-3_18</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-47169-3_18</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The railway signalling sector has historically been a source of success stories about the adoption of formal methods in the certification of software safety of computer-based control equipment.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:237</infoId>
            <name>Ferrari, Alessio</name>
            <orcid>0000-0002-0636-5663</orcid>
            <affiliation code="dnet:pers:237" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-30942-8_46" url="https://dx.doi.org/10.1007/978-3-030-30942-8_46">Adopting Formal Methods in an Industrial Setting: The Railways Case</dataset>
        <dataset doi="10.1007/978-3-030-27008-7_1" url="https://dx.doi.org/10.1007/978-3-030-27008-7_1">Modelling and Analysing ERTMS L3 Moving Block Railway Signalling with Simulink and Uppaal SMC</dataset>
        <dataset doi="10.1007/978-3-319-98938-9_2" url="https://dx.doi.org/10.1007/978-3-319-98938-9_2">On the Industrial Uptake of Formal Methods in the Railway Domain</dataset>
        <dataset doi="10.1007/978-3-030-03421-4_24" url="https://dx.doi.org/10.1007/978-3-030-03421-4_24">Statistical Model Checking of a Moving Block Railway Signalling Scenario with Uppaal SMC</dataset>
        <dataset doi="10.1007/978-3-030-30985-5_1" url="https://dx.doi.org/10.1007/978-3-030-30985-5_1">The Legacy of Stefania Gnesi</dataset>
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<record>
    <identifier>oai:it.cnr:prodotti:362798</identifier>
    <title>The LARASE spin model of the two LAGEOS and LARES satellites</title>
    <creators>
        <creator>Lucchesi D M</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Bassan M</creator>
        <creator>Magnafico C</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Peron R</creator>
        <creator>Pucacco G</creator>
        <creator>Stanga R</creator>
        <creator>Visco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>LARASE</subject>
        <subject>LARES</subject>
        <subject>LAGEOS</subject>
        <subject>Spin Evolution</subject>
        <subject>Spin Model</subject>
        <subject>Precise Orbit Determination</subject>
        <subject>Non-Gravitational Perturbations</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319990</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319990&amp;bitstreamId=1cd1f27b-8282-4c85-952c-c18355bd3286</url>
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    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The LARASE Spin Model of the two LAGEOS and LARES satellites.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:362801</identifier>
    <title>Energy-saving buildings assessment through stochastic hybrid model-based evaluation</title>
    <creators>
        <creator orcid="0000-0002-7196-6609">Basile D</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Model-based analysis</subject>
        <subject>Green IT</subject>
        <subject>Dependable Computing</subject>
        <subject>C.4 PERFORMANCE OF SYSTEMS</subject>
        <subject>I.6 SIMULATION AND MODELING</subject>
        <subject>C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS</subject>
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    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/319993</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362801/2016_362801.pdf?id=people______%3A%3A4abfe945476f1c805fdf6f1a0bda437c</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/319993/1/prod_362801-doc_119518.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Optimizing the energy consumption of buildings is an increasingly important topic in ICT. Smart Buildings monitor and control their energy consumptions and safety-related aspect through networks of sensors and actuators connected to the Internet. Policies of energy consumption can be adopted to optimize the interactions among the involved nodes, while satisfying required safety and reliability levels. Stochastic hybrid formalisms have been proved a viable solution for evaluating the effectiveness of energy saving solutions for Smart Buildings, to support tuning of the most suitable one.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:453</infoId>
            <name>Basile, Davide</name>
            <orcid>0000-0002-7196-6609</orcid>
            <affiliation code="dnet:pers:453" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:362803</identifier>
    <title>DOREMI - Final report from the pilot site</title>
    <creators>
        <creator>Musian D</creator>
        <creator>Alvino S</creator>
        <creator orcid="0000-0001-5457-2328">Vozzi F</creator>
        <creator orcid="0000-0003-2459-1047">Parodi O</creator>
        <creator>Parolini M</creator>
        <creator>Giugni F</creator>
        <creator>Sandys R</creator>
        <creator>Lupiáñezvillanueva F</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
        <creator>Fauli C</creator>
        <creator>Ascolese A</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Gallicchio C</creator>
        <creator>Scase M</creator>
        <creator>Bacciu D</creator>
        <creator>Micheli A</creator>
        <creator>Kropf J</creator>
        <creator>Marandure B</creator>
        <creator>Monton E</creator>
        <creator>Hanke S</creator>
        <creator>Kreiner K</creator>
        <creator>Dutton R</creator>
        <creator>Northwood D</creator>
        <creator>Hall S</creator>
        <creator>Cannon D</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>DOREMI pilot studies</subject>
        <subject>Longitudinal study</subject>
        <subject>DOREMI integrated system valdation</subject>
        <subject>Active and Healthy Aging</subject>
        <subject>C.2 COMPUTER-COMMUNICATION NETWORKS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319995</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319995&amp;bitstreamId=594c0dac-13ad-4490-81f6-19721178442f</url>
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    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The deliverable reports all the technical and clinical results reached in the final validation phase according to the plan elaborated in WP2 and described in D2.3. The report will include a detailed descriptions of the preparatory and implementation activities of the pilot studies.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
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            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:507</infoId>
            <name>Parodi, Oberdan</name>
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            <affiliation code="dnet:pers:507" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>08.01 Rapporto di progetto</acronym>
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            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:362806</identifier>
    <title>DETRITI SPAZIALI - Pilot service for uncontrolled reentry predictions: some basic concepts and requirements</title>
    <creators>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Uncontrolled reentry</subject>
        <subject>Reentry predictions</subject>
        <subject>Uncertainty windows</subject>
        <subject>Risk objects</subject>
        <subject>Sub-satellite ground track</subject>
        <subject>Civil protection applications</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/319998</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/319998&amp;bitstreamId=85f67b16-ee7b-48f1-b2ec-50f6b7fa3911</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Some basic concepts and requirements for the set up of a civilian pilot service for the reentry predictions of sizable uncontrolled space objects are presented. This is a confidential document in support of national pre-operational SST activities.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
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            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>08.01 Rapporto di progetto</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:362808</identifier>
    <title>DETRITI SPAZIALI: supporto alle attività IADC e validazione pre-operativa per SST - Deliverable Document DEL002</title>
    <creators>
        <creator>Bianchi G</creator>
        <creator>Piergentili F</creator>
        <creator>Rossi A</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Francesconi A</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Pisanu T</creator>
        <creator>Di Lizia P</creator>
        <creator>Santoni F</creator>
        <creator>Valentini G</creator>
        <creator>Di Cecco A</creator>
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    <publisher/>
    <subjects>
        <subject>Space Debris</subject>
        <subject>Measurement</subject>
        <subject>Modeling</subject>
        <subject>Protection</subject>
        <subject>Mitigation</subject>
        <subject>Remediation</subject>
        <subject>Reentry Predictions</subject>
        <subject>Space Surveillance and Tracking</subject>
        <subject>Orbit Determination</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/320000</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320000&amp;bitstreamId=2f261476-7f19-4519-9584-e74378f33173</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This document is the second deliverable of the cooperation agreement between ASI and INAF on "Space Debris: Support to the IADC activities and pre-operational validation for space surveillance and tracking". It presents the activities carried out by the various entities involved in each work package during the second semester of the contract.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
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            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Fisica Applicata - IFAC</name>
            <acronym>Istituto di Fisica Applicata - IFAC</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:362811</identifier>
    <title>DETRITI SPAZIALI: supporto alle attività IADC e validazione pre-operativa per SST - Deliverable Document RA1</title>
    <creators>
        <creator>Bianchi G</creator>
        <creator>Piergentili F</creator>
        <creator>Rossi A</creator>
        <creator orcid="0000-0001-6060-2335">Pardini C</creator>
        <creator>Francesconi A</creator>
        <creator orcid="0000-0001-5875-2975">Anselmo L</creator>
        <creator>Pisanu T</creator>
        <creator>Di Lizia P</creator>
        <creator>Santoni F</creator>
        <creator>Valentini G</creator>
        <creator>Di Cecco A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Space Debris</subject>
        <subject>Measurement</subject>
        <subject>Modeling</subject>
        <subject>Protection</subject>
        <subject>Mitigation Remediation</subject>
        <subject>Reentry Predictions</subject>
        <subject>Space Surveillance and Tracking</subject>
        <subject>Determination</subject>
        <subject>J.2 PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/320003</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/320003&amp;bitstreamId=90b1d2ea-70bd-44c6-9216-31847a5bc901</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This document is the first deliverable of the cooperation agreement between ASI and INAF on "Space Debris: Support to the IADC activities and pre-operational validation for space surveillance and tracking". It presents the activities carried out by the various entities involved in each work package during the first 6 months of the contract.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:735</infoId>
            <name>Anselmo, Luciano</name>
            <orcid>0000-0001-5875-2975</orcid>
            <affiliation code="dnet:pers:735" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1315</infoId>
            <name>Pardini, Carmen</name>
            <orcid>0000-0001-6060-2335</orcid>
            <affiliation code="dnet:pers:1315" type="Laboratorio" groupAcronym="SFD" group="Space Flight Dynamics (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou205</code>
            <name>Istituto di Fisica Applicata - IFAC</name>
            <acronym>Istituto di Fisica Applicata - IFAC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362813</identifier>
    <title>Scalable verification for spatial stochastic logics</title>
    <creators>
        <creator orcid="0000-0001-8874-4001">Bortolussi L</creator>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator>Gilmore S</creator>
        <creator>Hillston J</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator>Loreti M</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
        <creator>Nenzi L</creator>
        <creator>Paskauskas R</creator>
        <creator>Tribastone M</creator>
        <creator>Tschaikowski M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Spatial logics</subject>
        <subject>Stochastic logics</subject>
        <subject>Specifying and verifying and reasoning about programs</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320005</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362813/2016_%20362813.pdf?id=people______%3A%3A00f68fa37f979e471e6416543cc3bc33</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320005/1/prod_362813-doc_119529.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This Internal Report describes the status of the work performed in the project on the extension of the theoretical foundations of scalable model-checking approaches with suitable notions of spatial verification. Various forms of scalable model-checking were developed during the first phase of Task 3.1 of WP3, including those based on mean-field and fluid flow techniques, and were presented in Deliverable 3.1. The focus of the present report is on forms of spatial verification based on model-checking techniques in which the effect of inhomogeneous spatial distribution of objects is taken into account. Several spatial logics have been developed and explored. The Spatial Logic for Closure Spaces (SLCS) is based on the formal framework of closure spaces. The latter include topological spaces but also discrete spaces such as graphs and therefore form a promising candidate for a uniform framework to develop spatial logics that can be applied to the various spatial representations presented in the deliverables of WP2. Closure spaces come with a well-developed theory and some powerful operators that turned out to be very useful both for the definition of the semantics of SLCS and for the development of spatial and spatio-temporal modelchecking algorithms. The spatial operators of SLCS have been also added to the Signal Temporal Logic (STL) to obtain Spatial Signal Temporal Logic (SSTL). In this case the spatial operators have been extended with spatial bounds based on distance measures and a quantitative semantics has been provided that is used to evaluate the robustness of the spatio-temporal formulas for signals. Spatial and spatio-temporal performance analysis measures have been explored for a simple PALOMA model of a group of robots and for a bike sharing model based on Markov Renewal Processes. The latter provides a simulation model of bike-sharing systems that includes users as agents. It also generates simulation traces with spatio-temporal information on bike stations that can be analysed using the prototype spatiotemporal model checkers that have been developed in the context of the project. A partial-differential approximation has been developed for spatial stochastic process algebra. The approach is validated on the well-known Lotka-Volterra model and shows an advantage in terms of computational efficiency compared to traditional numerical solutions. Finally, for what concerns scalable verification, the innovative model-checking approaches based on fluid approximation and on-the-fly mean-field techniques have been finalised. For the latter a prototype modelchecker, FlyFast, has been made available, which was described in Deliverable 5.2. QUANTICOL</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:307</infoId>
            <name>Bortolussi, Luca</name>
            <orcid>0000-0001-8874-4001</orcid>
            <affiliation code="dnet:pers:307" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:381</infoId>
            <name>Paskauskas, Rytis</name>
            <affiliation code="dnet:pers:381" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362848</identifier>
    <title>A terminological "journey" in the Grey Literature domain</title>
    <creators>
        <creator orcid="0000-0002-6829-6309">Bartolini R</creator>
        <creator orcid="0000-0003-0610-1550">Pardelli G</creator>
        <creator orcid="0000-0002-6035-3663">Goggi S</creator>
        <creator orcid="0000-0001-7323-3786">Giannini S</creator>
        <creator orcid="0000-0001-9518-0267">Biagioni S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Grey Literature</subject>
        <subject>Digital Repositories</subject>
        <subject>Open Access</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320039</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362848/2016_362848.pdf?id=people______%3A%3A39c7570a43d2693f36dd85321c034b4d</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320039/1/prod_362848-doc_181313.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320039/2/prod_362848-doc_119547.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>"When we read the articles or papers of a particular domain, we can recognize some lexical items in the texts as technical terms. In a domain where new knowledge is generated, new terms are constantly created to fulfil the needs of the domain, while others become obsolete. In addition, existing terms may undergo changes of meaning..." (Kageura K.,1998/1999). According to Kaugera, our aim with this work is to make a "journey" in the Grey Literature (GL) domain in order to offer an overall vision on the terms used and the links" "between them. Moreover, by performing a terminological comparison over a given period of time it could be possible to trace the presence of obsolete words as well as of neologisms in the most recent research fields.Within this scenario, the work analyzes a corpus constituted of the entire amount of full" "research papers published in the GL conference series over a time span of more than one decade (2003-2014) with the aim of creating a terminological map of relevant words. "... corpora used to extract terminological units can be further investigated to find semantic and conceptual information on terms or to represent conceptual relationships between terms. (Bourigault D. et al., 2001). Another interesting inquiry is the terminology used in the GL conferences for describing the types of documents (Pej?ová P. et al., 2012). The work is split up in four sections: creation of the corpus by acquiring the digital papers of GL conference proceedings (GL5 - GL16)1; data cleaning; data processing; terminological" "analysis and comparison. The corpus - made up of 231 research papers (for a total amount of 785.042 tokens) - was processed using a Natural Language Processing (NLP) tool for term extraction developed at the Institute of Computational Linguistics "Antonio Zampolli" of CNR (Goggi et al. 2015; 2016). This tool is what is called a "pipeline" (that is, a sequence of different tools) which extracts lexical knowledge from texts: in short, this is a rule system tool for knowledge extraction and document indexing that combines NLP technologies for term extraction and techniques to measure the associative strength of multi-words. This tool extracts a list of single (monograms) and multi-word terms (bigrams and trigrams) ordered by frequency with respect to the context. The pipeline - used as semantic engine within the MAPS project - has been customized for the extraction of terms from our corpus. This survey on the results of the information extraction process performed by the described NLP tool has been a sort of linguistic path in the past and present of terminology used in GL proceedings. By means of samplings, it has been possible to obtain the terminological flow in GL domain and to determine if and how the lexicon was evolving over these twelve years and investigate on its dynamic nature.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:881</infoId>
            <name>Bartolini, Roberto</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:540</infoId>
            <name>Biagioni, Stefania</name>
            <orcid>0000-0001-9518-0267</orcid>
            <affiliation code="dnet:pers:540" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1444</infoId>
            <name>Giannini, Silvia</name>
            <orcid>0000-0001-7323-3786</orcid>
            <affiliation code="dnet:pers:1444" type="Servizio" groupAcronym="SB" group="Servizio Biblioteca e Centro di Documentazione Scientifica (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou239</code>
            <name>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</name>
            <acronym>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362866</identifier>
    <title>On spatio-temporal model-checking of vehicular movement in public transport systems</title>
    <creators>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator>Gilmore S</creator>
        <creator>Grilletti G</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator>Loreti M</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Spatio-temporal logics</subject>
        <subject>Specifying and verifying and reasoning about programs</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320519</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362866/2016_%20362866.pdf?id=people______%3A%3Ae6cc7788b082545c920838a407a8d76f</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320519/1/prod_362866-doc_119561.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper we present the use of a novel spatio-temporal model-checker to detect problems in the data and operation of an adaptive system. We categorise received data as being plausible, implausible, possible or problematic. Data correctness is essential to ensure behavioural correctness in systems which adapt in response to data and our categorisation suggests the degree of caution which should be used in acting in response to this received data. We illustrate the theory with several concrete examples, addressing both the detection of errors in vehicle location data for buses in the city of Edinburgh and the behavioural phenomenon of clumping", the undesired reduction of separation between subsequent buses serving the same route. Vehicle location data is visualised symbolically on a street map, and categories of problems identied by the spatial part of the model-checker are rendered by repainting the symbols for vehicles in dierent colours. Behavioural correctness makes use of both the spatial and temporal aspects of the model-checker to determine from a series of observations of vehicle locations whether the system is failing to meet the expected quality of service demanded by system regulators.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:362872</identifier>
    <title>Model checking spatial logics for closure spaces. Extended version</title>
    <creators>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator>Loreti M</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Model logics</subject>
        <subject>Spatial logics</subject>
        <subject>Specifying and verifying and reasoning about programs</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/320522</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/362872/2016_%20362872.pdf?id=people______%3A%3A74fe3186e8478380b8edce41b9612d21</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/320522/1/prod_362872-doc_119563.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Spatial aspects of computation are becoming increasingly relevant in Computer Science, es- pecially in the eld of collective adaptive systems and when dealing with systems distributed in physical space. Traditional formal verication techniques are well suited to analyse the temporal evolution of programs; however, properties of space are typically not taken into account explic- itly. We present a topology-based approach to formal verication of spatial properties depending upon physical space. We dene an appropriate logic, stemming from the tradition of topological interpretations of modal logics, dating back to earlier logicians such as Tarski, where modalities describe neighbourhood. We lift the topological denitions to the more general setting of closure spaces, also encompassing discrete, graph-based structures. We extend the framework with a spa- tial surrounded operator, a propagation operator and with some collective operators. The latter are interpreted over arbitrary sets of points instead of individual points in space. We dene ecient model checking procedures, both for the individual and the collective spatial fragments of the logic and provide a proof-of-concept tool.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:363045</identifier>
    <title>Protection of groundwater resources: worldwide regulations and scientific approaches</title>
    <creators>
        <creator orcid="0000-0002-7848-1225">Doveri M</creator>
        <creator orcid="0000-0001-6614-3766">Menichini M</creator>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
    </creators>
    <publisher>Springer</publisher>
    <subjects>
        <subject>Protection areas</subject>
        <subject>Multidisciplinary approach</subject>
        <subject>Groundwater protection directives</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/698_2015_421</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/313917</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/chapter/10.1007%2F698_2015_421</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/363045/2016_363045.postrint.pdf?id=people______%3A%3A0b8d159e51d930e497ee39b694bb4a74</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1007/698_2015_421</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/313917/2/prod_363045-doc_181156.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313917&amp;bitstreamId=d5d798b4-9278-4a40-88d0-bcb355693a59</url>
    </urls>
    <dois>
        <doi>10.1007/698_2015_421</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The increasing role of groundwater in municipal water networks in many countries of the world makes the protection of groundwater resources an essential practice for safeguarding drinking water supplies. Several scientific-technical approaches are adopted worldwide to face this issue. In addition, some countries mainly depend on groundwater also for non-domestic use, making this topic even more critical. This chapter provides an overview of the main directives and their related technical aspects, concerning the protection zones of groundwater sources for human consumption. The main results of a multidisciplinary study are also presented, highlighting how the knowledge of physical and chemical aspects of
groundwater bodies is a fundamental tool for protecting this vital resource and assuring its availability for the future generations.</abstract>
    <source>THE HANDBOOK OF ENVIRONMENTAL CHEMISTRY, pp. 13-30</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/698_2015_421" url="https://dx.doi.org/10.1007/698_2015_421">Protection of Groundwater Resources: Worldwide Regulations and Scientific Approaches</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou228</code>
            <name>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</name>
            <acronym>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:363060</identifier>
    <title>Audio ergo sum. A personal data model for musical preferences</title>
    <creators>
        <creator orcid="0000-0002-2827-7613">Guidotti R</creator>
        <creator orcid="0000-0003-3373-1240">Rossetti G</creator>
        <creator>Pedreschi D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Music Data Mining</subject>
        <subject>H.2.8 DATABASE MANAGEMENT. Database Applications. Data Mining</subject>
        <subject>Personal Data Model</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-50230-4_5</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-50230-4_5</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/313932</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313932&amp;bitstreamId=6cfce714-36e6-4fee-9fd0-973bac3f5775</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-50230-4_5</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-50230-4_5</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Nobody can state " Rock is my favorite genre " or " David Bowie is my favorite artist ". We defined a Personal Listening Data Model able to capture musical preferences through indicators and patterns, and we discovered that we are all characterized by a limited set of musical preferences, but not by a unique predilection. The empowered capacity of mobile devices and their growing adoption in our everyday life is generating an enormous increment in the production of personal data such as calls, positioning, online purchases and even music listening. Musical listening is a type of data that has started receiving more attention from the scientific community as consequence of the increasing availability of rich and punctual online data sources. Starting from the listening of 30k Last.Fm users, we show how the employment of the Personal Listening Data Models can provide higher levels of self-awareness. In addition, the proposed model will enable the development of a wide range of analysis and musical services both at personal and at collective level.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:171</infoId>
            <name>Guidotti, Riccardo</name>
            <orcid>0000-0002-2827-7613</orcid>
            <affiliation code="dnet:pers:171" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:187</infoId>
            <name>Rossetti, Giulio</name>
            <orcid>0000-0003-3373-1240</orcid>
            <affiliation code="dnet:pers:187" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:363064</identifier>
    <title>Deep permutations: Deep convolutional neural networks and permutation-based indexing</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator orcid="0000-0001-7182-7038">Vadicamo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Permutation-based indexing</subject>
        <subject>Deep convolutional neural network</subject>
        <subject>Similarity search</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-46759-7_7</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/313936</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007%2F978-3-319-46759-7_7</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/363064/2016_363064.postprint.pdf?id=people______%3A%3A5c707f4992e736c9a933dfe84114f44e</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-46759-7_7</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/313936/2/prod_363064-doc_159986.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313936&amp;bitstreamId=f3564bca-a449-4157-8ac5-409a517ebf64</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-46759-7_7</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The activation of the Deep Convolutional Neural Networks hidden layers can be successfully used as features, often referred as Deep Features, in generic visual similarity search tasks. Recently scientists have shown that permutation-based methods offer very good performance in indexing and supporting approximate similarity search on large database of objects. Permutation-based approaches represent metric objects as sequences (permutations) of reference objects, chosen from a predefined set of data. However, associating objects with permutations might have a high cost due to the distance calculation between the data objects and the reference objects. In this work, we propose a new approach to generate permutations at a very low computational cost, when objects to be indexed are Deep Features. We show that the permutations generated using the proposed method are more effective than those obtained using pivot selection criteria specifically developed for permutation-based methods.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:383</infoId>
            <name>Vadicamo, Lucia</name>
            <orcid>0000-0001-7182-7038</orcid>
            <affiliation code="dnet:pers:383" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:363066</identifier>
    <title>Supermetric search with the four-point property</title>
    <creators>
        <creator>Connor R</creator>
        <creator orcid="0000-0001-7182-7038">Vadicamo L</creator>
        <creator orcid="0000-0003-0940-4768">Cardillo Fa</creator>
        <creator orcid="0000-0002-2909-7745">Rabitti F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Four-point property</subject>
        <subject>Supermetric Space</subject>
        <subject>H.3.3 INFORMATION STORAGE AND RETRIEVAL. Information Search and Retrieval</subject>
        <subject>Metric Space</subject>
        <subject>Hilbert Embedding</subject>
        <subject>Metric Indexing</subject>
        <subject>Similarity search</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CORE (RIOXX-UK Aggregator)" rights="Open Access">http://dspace.stir.ac.uk/bitstream/1893/27672/1/Connor_etal_SISAP2016_Supermetric_search_with_the_four_point_property.pdf</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-46759-7_4</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/313938</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007%2F978-3-319-46759-7_4</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/363066/2016_363066.postprint.pdf?id=people______%3A%3A3799db857ca03b2ff0fbac0e09cfdb23</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-46759-7_4</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/313938/2/prod_363066-doc_157359.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/313938&amp;bitstreamId=f8de1344-b197-43fc-be32-bb6a03ba60a3</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-46759-7_4</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Metric indexing research is concerned with the efficient evaluation of queries in metric spaces. In general, a large space of objects is arranged in such a way that, when a further object is presented as a query, those objects most similar to the query can be efficiently found. Most such mechanisms rely upon the triangle inequality property of the metric governing the space. The triangle inequality property is equivalent to a finite embedding property, which states that any three points of the space can be isometrically embedded in two-dimensional Euclidean space. In this paper, we examine a class of semimetric space which is finitely 4-embeddable in three-dimensional Euclidean space. In mathematics this property has been extensively studied and is generally known as the four-point property. All spaces with the four-point property are metric spaces, but they also have some stronger geometric guarantees. We coin the term supermetric space as, in terms of metric search, they are significantly more tractable. We show some stronger geometric guarantees deriving from the four-point property which can be used in indexing to great effect, and show results for two of the SISAP benchmark searches that are substantially better than any previously published.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:167</infoId>
            <name>Cardillo, Franco Alberto</name>
            <orcid>0000-0003-0940-4768</orcid>
            <affiliation code="dnet:pers:167" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:584</infoId>
            <name>Rabitti, Fausto</name>
            <orcid>0000-0002-2909-7745</orcid>
            <affiliation code="dnet:pers:584" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:383</infoId>
            <name>Vadicamo, Lucia</name>
            <orcid>0000-0001-7182-7038</orcid>
            <affiliation code="dnet:pers:383" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou239</code>
            <name>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</name>
            <acronym>Istituto di linguistica computazionale "Antonio Zampolli" - ILC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:363629</identifier>
    <title>Development of an online measurement apparatus for the study of stratified flow in near-horizontal pipes</title>
    <creators>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
        <creator>Andreussi P</creator>
        <creator>Picciaia D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Multi-phase flow measurements</subject>
        <subject>Conductance probes</subject>
        <subject>PHYSICAL SCIENCES AND ENGINEERING</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/i2mtc.2016.7520531</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/326679</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">https://ieeexplore.ieee.org/document/7520531</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/363629/2016_363629.postprint.pdf?id=people______%3A%3A2bdd490a02e77745e3c9edc684986bdf</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/i2mtc.2016.7520531</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/326679/2/prod_363629-doc_181159.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326679&amp;bitstreamId=cf1eaf7f-9f42-47cb-8161-a44379a33c45</url>
    </urls>
    <dois>
        <doi>10.1109/i2mtc.2016.7520531</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>There is a high industrial interest today in the development of accurate measurement techniques to support the modelling of gas-liquid flow phenomena. When dealing with stratified flow in horizontal or inclined pipes, the main problem is that in the range of medium to large gas velocities there are very few data available for the development or validation of flow models. These data should include the measurement of the pressure gradient, the circumferential liquid film distribution, the liquid hold-up and the fraction of entrained droplets. This work describes the development and experimentation of a measurement set-up for generating these data at flow conditions as close as possible to those of industrial interest, in terms of pipe diameter and physical properties of the fluid. This paper focuses on the measurement technique, which is based on conductivity measurements by arrays of needle-shaped electrodes, and illustrates one practical implementation and its validation.</abstract>
    <source>CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE, vol. 2016-July, pp. 1155-1160. Taipei, Taiwan, 23-26 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:363633</identifier>
    <title>Studio di fattibilità per la realizzazione di una mobile APP in grado di gestire contenuti multimediali di interesse territoriale</title>
    <creators>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobile</subject>
        <subject>App</subject>
        <subject>HTML5</subject>
        <subject>Turismo</subject>
        <subject>Information Systems</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326682</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326682&amp;bitstreamId=b4204c4e-b1f1-44f8-8e73-a89139472e40</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This project report describes the activities carried out in the frame of a contract agreed by ISTI with the APPtour srl Company. The aim of the agreement is the "Feasibility Study for the project of platform independent mobile APP in dedicated networks of multimedia content of regional interest to be accessed and used by different types of users.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:363643</identifier>
    <title>Analisi delle problematiche di sicurezza all'interno della piattaforma SHELL</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Home automation</subject>
        <subject>Security</subject>
        <subject>Shell</subject>
        <subject>Interoperability</subject>
        <subject>D.2.12 SOFTWARE ENGINEERING. Interoperability</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/326692</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/363643/2016_363643.pdf?id=people______%3A%3A2648974fa84b9fc69c2a403fc342375a</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/326692/1/prod_363643-doc_119906.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In the SHELL architectural model, network communication between nodes plays a major role. In particular, communications occur between hosts, between a host and one or more managers, and between home manager and Internet. Security in the storage and data transmission phases, requires to take adequate measures to protect such data from intruders, both to protect them from any use that is not as expected by the legitimate owners and/or operators, and by system malfunctions. The information security within the SHELL platform issue is considered a key point and it is addressed taking into account five aspects: confidentiality, integrity, non-repudiation, availability and upgrade.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:363645</identifier>
    <title>Definizione architettura del middleware SHELL: considerazioni sulle modalità di interazione tra gli HOST</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Home automation</subject>
        <subject>Interoperability</subject>
        <subject>Shell</subject>
        <subject>DogOnt</subject>
        <subject>Ontology</subject>
        <subject>XML</subject>
        <subject>D.2.12 SOFTWARE ENGINEERING. Interoperability</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/326693</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/363645/2016_363645.pdf?id=people______%3A%3A21b9c7ec65abb94033eff919971f9371</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/326693/1/prod_363645-doc_119907.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The SHELL architecture provides for one or more real systems able to act as a bridge for the communication between the devices belonging to the different HOSTs, even if they are uneven. Its goals are to enable: 1. the management of the devices inside the environment by ensuring the co-existence and the interaction even among those who access the network using different protocols; 2. the increase of the capabilities achievable by the home automation network in comparison to those provided by the traditional model (simple sensor-actuator interaction). The HOST is an added value to the traditional home automation model in order to make it more efficient. Generally it is a common personal computer connected in the environment to one or more networks of devices with the aim to monitor their status (receiving their notifications) and to send commands to be executed. The tasks that the SHELL framework will have to be able to carry out can be summarized in: 1. necessary features to control different home automation systems using a single high-level communication protocol; 2. necessary functionalities allowing the automation internetwork (interaction between devices belonging to different home automation systems).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
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            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
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    <citations/>
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            <acronym>08 Report e Working Paper</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:363651</identifier>
    <title>Fruibilità, diffusione e condivisione via web dei risultati di ricerca inerenti l'occupazione e la formazione per lo sviluppo sostenibile</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Database</subject>
        <subject>Formazione ambientale</subject>
        <subject>Lavoro ambientale</subject>
        <subject>Energia rinnovabile</subject>
        <subject>Efficienza energetica</subject>
        <subject>H.4 INFORMATION SYSTEMS APPLICATIONS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326699</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326699&amp;bitstreamId=924c242e-bcd3-48b4-bdda-ac56649aed00</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The Project aims to promote dissemination, information and sharing of scientific contents and research results concerning employment and education for sustainable development, through the design, the experimentation and the implementation of innovative software solutions making it possible to give visibility to the results by using advanced communication tools. The work is mainly aimed at creating a "Scientific Information Sharing" platform called IFOLAMB, with particular attention to the area concerning "Professional skills for sustainable development".</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:363652</identifier>
    <title>Fruibilità, diffusione e condivisione via web dei risultati di ricerca inerenti le professioni e la formazione per lo sviluppo sostenibile</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Database</subject>
        <subject>Formazione ambientale</subject>
        <subject>Lavoro ambientale</subject>
        <subject>Energia rinnovabile</subject>
        <subject>Efficienza energetica</subject>
        <subject>H.4 INFORMATION SYSTEMS APPLICATIONS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326700</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326700&amp;bitstreamId=7692c515-87e0-4746-8a69-da3841655358</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The collaboration between the ISFOL and ISTI CNR has, in this project, the aims of redesign the IFOLAMB information system, through the study and implementation of a software platform on the issues related to the training and employment for the Sustainable Development. In the period, the application field has been that of "New professionals for sustainable development" as strategic for the contribution that these professionals can give to the realization of sustainable societies. The specific activities provide an initial study to identify key aspects and issues and to outline the practical steps to carry out the project work. The research and technical objectives that have been achieved, were: - the implementation of a study phase to design and to identify the features and procedures required for the whole system, - the start-up of hardware and software architecture definition activities, - the upgrade of the information system using data collected by the Isfol group.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:363654</identifier>
    <title>Fruibilità, diffusione e condivisione via web dei risultati di ricerca inerenti le professioni e la formazione per lo sviluppo sostenibile</title>
    <creators>
        <creator orcid="0000-0003-3536-283X">Miori V</creator>
        <creator orcid="0000-0003-3409-6189">Russo D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Database</subject>
        <subject>Formazione ambientale</subject>
        <subject>Lavoro ambientale</subject>
        <subject>Energia rinnovabile</subject>
        <subject>Efficienza energetica</subject>
        <subject>XML</subject>
        <subject>H.4 INFORMATION SYSTEMS APPLICATIONS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326702</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326702&amp;bitstreamId=c8d73673-7814-46ec-90f1-4e7135ea69f5</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The collaboration between the ISFOL and ISTI CNR had, in this project, the aims of redesign the IFOLAMB information system, through the study and implementation of a software platform on the issues related to the training and employment for the Sustainable Development. The activities were: - an initial study that allowed to identify aspects and problems related to the entire project work; - the system design especially with regard to the modules of: inserting / editing data, querying and presentation of the results; - the implementation of the software; - the verification of the functionalities and correctness of the developed modules.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:996</infoId>
            <name>Miori, Vittorio</name>
            <orcid>0000-0003-3536-283X</orcid>
            <affiliation code="dnet:pers:996" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:777</infoId>
            <name>Russo, Dario</name>
            <orcid>0000-0003-3409-6189</orcid>
            <affiliation code="dnet:pers:777" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:364861</identifier>
    <title>Mixing tone mapping operators on the GPU by differential zone mapping based on psychophysical experiments</title>
    <creators>
        <creator orcid="0000-0002-6374-6657">Banterle F</creator>
        <creator>Artusi A</creator>
        <creator>Sikudova E</creator>
        <creator>Ledda P</creator>
        <creator>Bashfordrogers T</creator>
        <creator>Chalmers A</creator>
        <creator>Bloj M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Electrical and Electronic Engineering</subject>
        <subject>Video Tone Mapping</subject>
        <subject>High Dynamic Range Imaging</subject>
        <subject>Computer Vision and Pattern Recognition</subject>
        <subject>Software</subject>
        <subject>Tone Mapping</subject>
        <subject>GPU</subject>
        <subject>Signal Processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.image.2016.09.004</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/328538</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/364861/2016_364861.preprint.pdf?id=people______%3A%3Af30ba1b948c6e504eb79e6bedd528129</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">https://www.sciencedirect.com/science/article/abs/pii/S0923596516301308?via%3Dihub</url>
        <url hostedBy="Signal Processing Image Communication" rights="Closed Access">https://doi.org/10.1016/j.image.2016.09.004</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/328538/2/prod_364861-doc_157362.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/328538&amp;bitstreamId=572965f5-d3da-4605-8a02-285d91c80705</url>
    </urls>
    <dois>
        <doi>10.1016/j.image.2016.09.004</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper, we present a new technique for displaying High Dynamic Range (HDR) images on Low Dynamic Range (LDR) displays in an efficient way on the GPU. The described process has three stages. First, the input image is segmented into luminance zones. Second, the tone mapping operator (TMO) that performs better in each zone is automatically selected. Finally, the resulting tone mapping (TM) outputs for each zone are merged, generating the final LDR output image. To establish the TMO that performs better in each luminance zone we conducted a preliminary psychophysical experiment using a set of HDR images and six different TMOs. We validated our composite technique on several (new) HDR images and conducted a further psychophysical experiment, using an HDR display as the reference that establishes the advantages of our hybrid three-stage approach over a traditional individual TMO. Finally, we present a GPU version, which is perceptually equal to the standard version but with much improved computational performance.</abstract>
    <source>SIGNAL PROCESSING-IMAGE COMMUNICATION, vol. 48, pp. 50-62</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:364864</identifier>
    <title>Detection and characterization of ship targets using CryoSat-2 altimeter waveforms</title>
    <creators>
        <creator>Gómezenri J</creator>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
        <creator orcid="0000-0002-0377-3127">Soldovieri F</creator>
        <creator>Coca J</creator>
        <creator orcid="0000-0002-9038-5914">Vignudelli S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>CryoSat-2 SIRAL</subject>
        <subject>Q</subject>
        <subject>Satellite radar altimetry</subject>
        <subject>Ship detection</subject>
        <subject>altimeter waveforms</subject>
        <subject>SAR altimetry</subject>
        <subject>Science</subject>
        <subject>General Earth and Planetary Sciences</subject>
        <subject>ship detection</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Remote Sensing" rights="Open Access">https://doi.org/10.3390/rs8030193</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.3390/rs8030193</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/328541</url>
        <url hostedBy="Remote Sensing" rights="Open Access">http://www.mdpi.com/2072-4292/8/3/193</url>
        <url hostedBy="www.mdpi.com" rights="Open Access">http://www.mdpi.com/2072-4292/8/3/193/htm</url>
        <url hostedBy="Remote Sensing" rights="Open Access">https://www.mdpi.com/2072-4292/8/3/193/pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/328541/1/prod_364864-doc_120306.pdf</url>
    </urls>
    <dois>
        <doi>10.3390/rs8030193</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This article describes an investigation of the new possibilities offered by SAR altimetry compared with conventional altimetry in the detection and characterization of non-ocean targets. We explore the capabilities of the first SAR altimeter installed on the European Space Agency satellite CryoSat-2 for the detection and characterization of ships. We propose a methodology for the detection of anomalous targets in the radar signals, based on the advantages of SAR/Doppler processing over conventional altimetry. A simple metric is proposed for the automatic detection and separation of ship targets; additional geometric considerations are introduced, to assess the compatibility between the structures detected and the actual location and characteristics of the ships observed. A test-case is presented with multiple targets that are confirmed as large vessels cruising in the proximity of a CryoSat-2 track crossing the Alboran Sea (Western Mediterranean). The presence and position of these ships at the time of satellite passage have been corroborated by the data retrieved from the Automatic Information System database. A principal motive for this research is the future altimetry missions that will provide global SAR coverage (e.g., Sentinel-3). This methodology may complement the existing tracking systems, with particular reference to the capability of compiling global statistics based on freely available data.</abstract>
    <source>REMOTE SENSING (BASEL), vol. 8 (issue 3), p. 193</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>5. Lambert, G.I.; Jennings, S.; Hiddink, J.; Hintzen, N.T.; Hinz, H.; Kaiser, M.J.; Murray, L.G. Implications of using alternate methods of Vessel Monitoring System (VMS) data analysis to describe fishing activities and impacts. ICES J. Mar. Sci. 2012, 69, 682-693. [CrossRef]</citation>
        <citation>6. Crisp, D.J. The State-of-the-Art in Ship Detection in Synthetic Aperture Radar Imagery. Defence Science and Technology Organization (DSTO), 2004. Available online: http://dspace.dsto.defence.gov.au/ dspace/bitstream/1947/3354/1/DSTO-RR-0272%20PR.pdf (accessed on 20 January 2016).</citation>
        <citation>7. Vachon, P.W.; English, R.A.; Wolfe, J. Validation of RADARSAT-1 vessel signatures with AISLive data. Can. J. Remote Sens. 2007, 33, 23-26. [CrossRef]</citation>
        <citation>8. Corbane, C.; Najman, L.; Pecoul, E.; Demagistri, L.; Petit, M. A complete processing chain for ship detection using optical satellite imagery. Int. J. Remote Sens. 2010, 31, 5837-5854. [CrossRef]</citation>
        <citation>9. An, W.; Xie, C.; Yuan, X. An improved iterative censoring scheme for CFAR ship detection with SAR imagery. IEEE Trans. Geosci. Remote Sens. 2014, 52, 4585-4595.</citation>
        <citation>10. Wang, C.; Jiang, S.; Zhang, H.; Wu, F.; Zhang, B. Ship detection for high-resolution SAR images based on feature analysis. IEEE Geosci. Remote Sens. Lett. 2014, 11, 119-123. [CrossRef]</citation>
        <citation>11. Yang, G.; Li, B.; Ji, S.; Gao, F.; Xu, Q. Ship detection from optical satellite images based on sea surface analysis. IEEE Geosci. Remote Sens. Lett. 2014, 11, 641-645. [CrossRef]</citation>
        <citation>12. Tournadre, J. Signatures of lighthouses, ships, and small islands in altimeter waveforms. J. Atmos. Ocean. Technol. 2007, 24, 1143-1149. [CrossRef]</citation>
        <citation>13. Tournadre, J. Anthropogenic pressure on the open ocean. The growth of ship traffic revealed by altimeter data analysis. Geophys. Res. Lett. 2014, 41, 7924-7932. [CrossRef]</citation>
        <citation>14. Raney, R.K. The delay/Doppler radar altimeter. IEEE Trans. Geosci. Remote Sens. 1998, 36, 1578-1588. [CrossRef]</citation>
        <citation>15. Cotton, P.D. SAMOSA State of Art Assessment Report; European Space Agency: Paris, France, 2008.</citation>
        <citation>16. Abulaitijiang, A.; Andersen, O.B.; Stenseng, L. Coastal sea level from inland CryoSat-2 interferometric SAR altimetry. Geophys. Res. Lett. 2015, 42, 1841-1847. [CrossRef]</citation>
        <citation>17. Grid Processing On-Demand. Available online: https://gpod.eo.esa.int (accessed on 9 September 2015).</citation>
        <citation>18. Dinardo, S. Guidelines for the SAR (Delay-Doppler) L1b Processing; European Space Agency: Paris, France, 2013.</citation>
        <citation>19. Smith, W.H.F.; Scharroo, R. Waveform aliasing in satellite radar altimetry. IEEE Trans. Geosci. Remote Sens. 2015, 53, 1671-1682. [CrossRef]</citation>
        <citation>20. ESRIN-ESA. CryoSat Product Handbook; European Space Agency: Paris, France, 2012.</citation>
        <citation>21. Scagliola, M. CryoSat Footprints; SAR-CRY2-TEN-6331; European Space Agency: Paris, France, 2013.</citation>
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        <citation>23. Marine Traffic. Available online: http://www.marinetraffic.com (accessed on 1 September 2015).</citation>
        <citation>24. Scozzari, A.; Gómez-Enri, J.; Vignudelli, S.; Soldovieri, F. Understanding target-like signals in coastal altimetry: Experimentation of a tomographic imaging technique. Geophys. Res. Lett. 2012, 39. [CrossRef]</citation>
        <citation>25. Tournadre, J.; Boy, F.; Dinardo, S. Detection of ships and icebergs using Delay Doppler altimetry. In Proceedings of the Sentinel-3 for Science Workshop, Venice, Italy, 2-5 June 2015.</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou167</code>
            <name>Istituto di Biofisica - IBF - Sede Secondaria Pisa</name>
            <acronym>Istituto di Biofisica - IBF - Sede Secondaria Pisa</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou290</code>
            <name>Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA</name>
            <acronym>Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:364868</identifier>
    <title>A Tool-Supported Methodology for Validation and Refinement of Early-Stage Domain Models</title>
    <creators>
        <creator>Autili M</creator>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
        <creator orcid="0000-0002-1076-0076">De Angelis G</creator>
        <creator>Di Ruscio D</creator>
        <creator>Di Sandro A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Natural language questionnaires</subject>
        <subject>Domain modeling</subject>
        <subject>Model validation</subject>
        <subject>Model driven engineering</subject>
        <subject>Software</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/tse.2015.2449319</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/328545</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7132782/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/364868/2016_364868.postprint.pdf?id=people______%3A%3A5bbe50a95a417958bff62c45be1d7908</url>
        <url hostedBy="IEEE Transactions on Software Engineering" rights="Closed Access">https://doi.org/10.1109/tse.2015.2449319</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/328545/2/prod_364868-doc_165161.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/328545&amp;bitstreamId=4c0d3a9d-006d-4434-bd47-66924f45422f</url>
    </urls>
    <dois>
        <doi>10.1109/tse.2015.2449319</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Model-driven engineering (MDE) promotes automated model transformations along the entire development process. Guaranteeing the quality of early models is essential for a successful application of MDE techniques and related tool-supported model refinements. Do these models properly reflect the requirements elicited from the owners of the problem domain? Ultimately, this question needs to be asked to the domain experts. The problem is that a gap exists between the respective backgrounds of modeling experts and domain experts. MDE developers cannot show a model to the domain experts and simply ask them whether it is correct with respect to the requirements they had in mind. To facilitate their interaction and make such validation more systematic, we propose a methodology and a tool that derive a set of customizable questionnaires expressed in natural language from each model to be validated. Unexpected answers by domain experts help to identify those portions of the models requiring deeper attention. We illustrate the methodology and the current status of the developed tool MOTHIA, which can handle UML Use Case, Class, and Activity diagrams. We assess MOTHIA effectiveness in reducing the gap between domain and modeling experts, and in detecting modeling faults on the European Project CHOReOS.</abstract>
    <source>IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, vol. 42 (issue 1), pp. 2-25</source>
    <projects>
        <project>
            <openaireId>corda_______::189a0e348f18578504b5d0184a1aa986</openaireId>
            <code>257178</code>
            <name>Large Scale Choreographies for the Future Internet</name>
            <acronym>CHOREOS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:809</infoId>
            <name>De Angelis, Guglielmo</name>
            <orcid>0000-0002-1076-0076</orcid>
            <affiliation code="dnet:pers:809" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou162</code>
            <name>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</name>
            <acronym>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:364878</identifier>
    <title>A gamut-mapping framework for color-accurate reproduction of HDR images</title>
    <creators>
        <creator>Sikudova E</creator>
        <creator>Pouli T</creator>
        <creator>Artusi A</creator>
        <creator>Akyuz Ao</creator>
        <creator orcid="0000-0002-6374-6657">Banterle F</creator>
        <creator>Mazlumoglu Zm</creator>
        <creator>Reinhard E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Gamut Mapping</subject>
        <subject>Image processing</subject>
        <subject>High Dynamic Range Imaging</subject>
        <subject>Tècniques d'</subject>
        <subject>Imatges -- Processament</subject>
        <subject>Imaging systems</subject>
        <subject>Imatge</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>Tone Mapping</subject>
        <subject>Graphics (cs.GR)</subject>
        <subject>Computer Vision and Pattern Recognition (cs.CV)</subject>
        <subject>Multimedia (cs.MM)</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Software</subject>
        <subject>Computer Science - Graphics</subject>
        <subject>Computer Science - Multimedia</subject>
        <subject>Computer Science - Computer Vision and Pattern Recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1711.08925</url>
        <url hostedBy="IEEE Computer Graphics and Applications" rights="Open Access">http://arxiv.org/pdf/1711.08925</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/mcg.2015.116</url>
        <url hostedBy="Recolector de Ciencia Abierta, RECOLECTA" rights="Open Access">http://hdl.handle.net/10256/13156</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/354226</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">https://ieeexplore.ieee.org/document/7325187</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/364878/2016_364878.postprint.pdf?id=people______%3A%3A4ece27fc80c3e0a276ff1afd6f48c9da</url>
        <url hostedBy="IEEE Computer Graphics and Applications" rights="Closed Access">https://doi.org/10.1109/mcg.2015.116</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1711.08925</url>
        <url hostedBy="gateway.webofknowledge.com" rights="not available">http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&amp;SrcAuth=ORCID&amp;SrcApp=OrcidOrg&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL&amp;KeyUT=WOS:000382168800011&amp;KeyUID=WOS:000382168800011</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/354226/2/prod_364878-doc_157369.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354226&amp;bitstreamId=90c07c7c-ae6c-4a68-b1dc-0a148fd24eec</url>
    </urls>
    <dois>
        <doi>10.1109/mcg.2015.116</doi>
        <doi>10.48550/arxiv.1711.08925</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>An integrated gamut- and tone-management framework for color-accurate reproduction of high dynamic range images can prevent hue and luminance shifts while taking gamut boundaries into consideration. The proposed approach is conceptually and computationally simple, parameter-free, and compatible with existing tone-mapping operators.</abstract>
    <source>IEEE COMPUTER GRAPHICS AND APPLICATIONS, vol. 36 (issue 4), pp. 78-90</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654119/EU/Pooling Activities, Resources and Tools for Heritage E-research Networking, Optimization and Synergies/PARTHENOS</infoId>
            <openaireId>corda__h2020::4d46893df18bb77f5d817b8ce98ac56c</openaireId>
            <code>654119</code>
            <name>Pooling Activities, Resources and Tools for Heritage E-research Networking, Optimization and Synergies</name>
            <acronym>PARTHENOS</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:364882</identifier>
    <title>Modeling for learning in public administrations - The learn PAd approach</title>
    <creators>
        <creator orcid="0000-0002-1076-0076">De Angelis G</creator>
        <creator>Pirantonio A</creator>
        <creator>Polini A</creator>
        <creator>Re B</creator>
        <creator>Thönssen B</creator>
        <creator>Woitsch R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Learning</subject>
        <subject>BPMN</subject>
        <subject>Business Process Management</subject>
        <subject>Case Management</subject>
        <subject>Public Administration</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-39417-6_26</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/354230</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/364882/2016_364882.postprint.pdf?id=people______%3A%3Ac441086cd947bf9ea3ca70d49af73216</url>
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        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/354230/2/prod_364882-doc_157370.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354230&amp;bitstreamId=dff752c7-ba01-4448-b35c-ecdb1f71a0fe</url>
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    <dois>
        <doi>10.1007/978-3-319-39417-6_26</doi>
        <doi>http://dx.doi.org/10.1007/978-3-319-39417-6_26</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This chapter describes a modeling method that has been conceived to support learning in public administrations. The modeling method foresees the description of both procedures in the public administrations, and the working context of the civil servants. The approach relies on several model types that are used to organize and to relate the knowledge needed by civil servants in order to perform their daily activities. Each model instance describes a view on the concerns expressed by the model type it conforms to. These descriptions intend to provide an easy way for civil servants to retrieve knowledge when they need to learn specific aspects of a procedure, and to make collaboration easier in order to enable the emergence of knowledge related to the procedures themselves. Indeed, the method comes with an infrastructure that allows to automatically set up a wiki-based collaborative platform enabling collaboration and knowledge sharing among the stakeholders involved in the activities of a Public Administration. This chapter mainly reports on the modeling method that was conceived and developed within the FP7 EU research project Learn PAd. Learning aspects, while clearly relevant for the project, will not be directly discussed here.</abstract>
    <source/>
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        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:809</infoId>
            <name>De Angelis, Guglielmo</name>
            <orcid>0000-0002-1076-0076</orcid>
            <affiliation code="dnet:pers:809" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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        <dataset doi="10.1007/978-3-030-30985-5_17" url="https://dx.doi.org/10.1007/978-3-030-30985-5_17">QuOD: An NLP Tool to Improve the Quality of Business Process Descriptions</dataset>
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    <citations/>
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            <name>02 Contributo in Volume</name>
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        <inCollection>
            <code>ou_ou162</code>
            <name>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</name>
            <acronym>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:364886</identifier>
    <title>Security in user interfaces distributed amongst dynamic sets of devices and users</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L.</creator>
        <creator orcid="0000-0001-8355-6909">Paternò F.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Multi-device user interfaces</subject>
        <subject>Security and privacy in distributed user interfaces</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-45853-3_16</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-45853-3_16</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/354234</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354234&amp;bitstreamId=059362ec-e185-4eea-816f-9af2fec8b508</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-45853-3_16</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-45853-3_16</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Given the increasing availability of many devices in our daily environments, distributed user interfaces are becoming more and more used. However, they raise many issues related to security, which current frameworks for distributed user interfaces have yet to address adequately. We present a solution for this purpose, able to exploit public key certificates for authentication and encryption as well. The presented solution consists of a reference software architecture for secure distributed user interfaces and a corresponding implementation. We also report on an example application for a city guide supporting collaborative cross-device user interfaces.</abstract>
    <source/>
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    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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        <cnrPerson>
            <infoId>dnet:pers:1088</infoId>
            <name>Paternò, Fabio</name>
            <orcid>0000-0001-8355-6909</orcid>
            <affiliation code="dnet:pers:1088" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:364889</identifier>
    <title>Image Content Retargeting: Maintaining Color, Tone, and Spatial Consistency</title>
    <creators>
        <creator>Artusi A</creator>
        <creator orcid="0000-0002-6374-6657">Banterle F</creator>
        <creator>Aydin T O</creator>
        <creator>Panozzo D</creator>
        <creator>Sorkinehornung O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Image retargeting</subject>
        <subject>High dynamic range imaging</subject>
        <subject>Quality metrics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/354236</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>In recent years visual devices have proliferated, from the massive high-resolution, high-contrast screens to the tiny ones on mobile phones, with their limited dynamic range and color gamut. The wide variety of screens on which content may be viewed creates a challenge for developers. Adapting visual content for optimized viewing on all devices is called retargeting. This is the first book to provide a holistic view of the subject, thoroughly reviewing and analyzing the many techniques that have been developed for retargeting along dimensions such as color gamut, dynamic range, and spatial resolution.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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            <code>col_20.500.14243_38</code>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:364890</identifier>
    <title>Practical-HDR: a simple and effective method for merging high dynamic range videos</title>
    <creators>
        <creator>Akçora D E</creator>
        <creator orcid="0000-0002-6374-6657">Banterle F</creator>
        <creator orcid="0000-0003-0543-1638">Corsini M</creator>
        <creator>Akyuz A O</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher>ACM - Association for Computing Machinery</publisher>
    <subjects>
        <subject>High Dynamic Range Imaging</subject>
        <subject>High Dynamic Range Video</subject>
        <subject>HDR video merge</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2998568</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2998559.2998568</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2998559.2998568</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/354237</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354237&amp;bitstreamId=c782dc6f-a7f9-48c7-a196-a2e7394cc3bc</url>
    </urls>
    <dois>
        <doi>10.1145/2998559.2998568</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We introduce a novel algorithm for obtaining High Dynamic Range (HDR) videos from Standard Dynamic Range (SDR) videos with varying shutter speed or ISO per frame. This capturing technique represents today one of the most pop- ular HDR video acquisition methods, thanks to the avail- ability and the low cost of the equipment required; i.e., an off-the-shelf DSLR camera. However, na Ì^Ä±vely merging SDR frames into an HDR video can produce artifacts such as ghosts (when the scene is dynamic), and blurry edges (when the camera moves). In this work, we present a straightfor- ward, easy to implement, and fast technique that produces reasonable results in a short time. This is key for having quick previews of the captured videos without waiting for a long processing time. This is extremely important, espe- cially when capturing videos on modern mobile devices such as smartphones and/or tablets.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:88</infoId>
            <name>Corsini, Massimiliano</name>
            <orcid>0000-0003-0543-1638</orcid>
            <affiliation code="dnet:pers:88" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
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            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:364895</identifier>
    <title>An unobtrusive sleep monitoring system for the human sleep behaviour understanding</title>
    <creators>
        <creator orcid="0000-0002-6862-7593">Barsocchi P</creator>
        <creator>Bianchini M</creator>
        <creator orcid="0000-0001-7238-2181">Crivello A</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Scarselli F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Sleep monitoring</subject>
        <subject>Pattern Recognition</subject>
        <subject>Sleeping positions classification</subject>
        <subject>Sleep behaviour recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/coginfocom.2016.7804531</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/coginfocom.2016.7804531</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/354242</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7804531/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354242&amp;bitstreamId=a98ea63f-454e-4b84-9460-dc592676d2b9</url>
    </urls>
    <dois>
        <doi>10.1109/coginfocom.2016.7804531</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Sleep plays a vital role in good health and well-being throughout our life. Getting enough quality sleep at the right times can help protect mental and physical health, quality of life, and safety. Emerging wearable devices allow people to measure and keep track of sleep duration, patterns, and quality. Often, these approaches are intrusive and change the user's daily sleep habits. In this paper, we present an unobtrusive approach for the detection of sleep stages and positions. The proposed system is able to overcome the weakness of classic actigraphy-based systems, since it is easy to deploy and it is based on inexpensive technology. With respect to the actigraphy-based systems, the proposed system is able to detect the bed posture, that is crucial to support pressure ulcer prevention (i.e. bedsores). Results from our algorithm look promising and show that we can accurately infer sleep duration, sleep positions, and routines with a completely unobtrusive approach.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:813</infoId>
            <name>Barsocchi, Paolo</name>
            <orcid>0000-0002-6862-7593</orcid>
            <affiliation code="dnet:pers:813" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:403</infoId>
            <name>Crivello, Antonino</name>
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            <affiliation code="dnet:pers:403" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
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            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
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            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:364896</identifier>
    <title>Towards business process execution adequacy criteria</title>
    <creators>
        <creator orcid="0000-0001-8749-1356">Bertolino A.</creator>
        <creator orcid="0000-0001-5502-303X">Calabrò A.</creator>
        <creator orcid="0000-0002-4864-2219">Lonetti F.</creator>
        <creator orcid="0000-0003-4223-8036">Marchetti E.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Technology-enhanced Learning</subject>
        <subject>Business Process Management</subject>
        <subject>Monitoring</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-27033-3_3</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/354243</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007/978-3-319-27033-3_3</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/364896/2016_364896.postprint.pdf?id=people______%3A%3A534ceaf7085d5170f7bfe4db4c163435</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-27033-3_3</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/354243/2/prod_364896-doc_157372.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354243&amp;bitstreamId=2d3be84c-8a87-4f69-9928-0c087927551b</url>
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    <dois>
        <doi>10.1007/978-3-319-27033-3_3</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Monitoring of business process execution has been proposed for the evaluation of business process performance. An important aspect to assess the thoroughness of the business process execution is to monitor if some entities have not been observed for some time and timely check if something is going wrong. We propose in this paper business process execution adequacy criteria and provide a proof-of-concept monitoring framework for their assessment. Similar to testing adequacy, the purpose of our approach is to identify the main entities of the business process that are covered during its execution and raise a warning if some entities are not covered. We provide a first assessment of the proposed approach on a case study in the learning context.</abstract>
    <source>LECTURE NOTES IN BUSINESS INFORMATION PROCESSING, vol. 238, pp. 37-48. Wien, Austria, 18-21/01/2016</source>
    <projects>
        <project>
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            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:129</infoId>
            <name>Calabrò, Antonello</name>
            <orcid>0000-0001-5502-303X</orcid>
            <affiliation code="dnet:pers:129" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:388</infoId>
            <name>Lonetti, Francesca</name>
            <orcid>0000-0002-4864-2219</orcid>
            <affiliation code="dnet:pers:388" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:639</infoId>
            <name>Marchetti, Eda</name>
            <orcid>0000-0003-4223-8036</orcid>
            <affiliation code="dnet:pers:639" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
    <collections>
        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:364897</identifier>
    <title>Testing access control policies against intended access rights</title>
    <creators>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
        <creator orcid="0000-0002-3073-6217">Daoudagh S</creator>
        <creator orcid="0000-0002-4864-2219">Lonetti F</creator>
        <creator orcid="0000-0003-4223-8036">Marchetti E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Software testing</subject>
        <subject>Access control rights</subject>
        <subject>Software Testing</subject>
        <subject>Access Control Rights</subject>
        <subject>XACML Language</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">https://dl.acm.org/doi/10.1145/2851613.2851829</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2851613.2851829</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/354244</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/364897/2016_364897.postprint.pdf?id=people______%3A%3Abcf612db099871766de7c078d773ec86</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2851613.2851829</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/354244/1/prod_364897-doc_166266.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354244&amp;bitstreamId=c25844a2-0a39-42c7-acdb-1f110a4e5645</url>
    </urls>
    <dois>
        <doi>10.1145/2851613.2851829</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Access Control Policies are used to specify who can access which resource under which conditions, and ensuring their correctness is vital to prevent security breaches. As access control policies can be complex and error-prone, we propose an original framework that supports the validation of the implemented policies (specified in the standard XACML notation) against the intended rights, which can be informally expressed, e.g. in tabular form. The framework relies on well-known software testing technology, such as mutation and combinatorial techniques. The paper presents the implemented environment and an application example.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:105</infoId>
            <name>Daoudagh, Said</name>
            <orcid>0000-0002-3073-6217</orcid>
            <affiliation code="dnet:pers:105" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:388</infoId>
            <name>Lonetti, Francesca</name>
            <orcid>0000-0002-4864-2219</orcid>
            <affiliation code="dnet:pers:388" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:639</infoId>
            <name>Marchetti, Eda</name>
            <orcid>0000-0003-4223-8036</orcid>
            <affiliation code="dnet:pers:639" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:364898</identifier>
    <title>Forensic detection of inverse tone mapping in HDR images</title>
    <creators>
        <creator>Fan W</creator>
        <creator>Valenzise G</creator>
        <creator orcid="0000-0002-6374-6657">Banterle F</creator>
        <creator>Dufaux F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Image forensics</subject>
        <subject>Histograms</subject>
        <subject>[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing</subject>
        <subject>Dynamic range</subject>
        <subject>Multimedia communication</subject>
        <subject>Gaussian mixture model</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/icip.2016.7532340</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/icip.2016.7532340</url>
        <url hostedBy="Hyper Article en Ligne" rights="not available">https://hal-imt.archives-ouvertes.fr/hal-01433773</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/354245</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">https://ieeexplore.ieee.org/document/7532340</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354245&amp;bitstreamId=7e776226-84dd-4155-88f2-daa45403f4c4</url>
    </urls>
    <dois>
        <doi>10.1109/icip.2016.7532340</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>High dynamic range (HDR) imaging is attracting an increasing deal of attention in the multimedia community, yet its forensic problems have been little studied so far. This paper proposes an HDR image forensic method, which aims at differentiating HDR images created from multiple low dynamic range (LDR) images from those created from a single LDR image by inverse tone mapping. For each kind of HDR image, a Gaussian mixture model is learned. Thereafter, an HDR image forensic feature is constructed based on calculating the Fisher scores. With comparison to a steganalytic feature and a texture/facial analysis feature, experimental results demonstrate the efficiency of the proposed method in HDR image forensic classification on whole images as well as small blocks, for three inverse tone mapping methods.</abstract>
    <source>PROCEEDINGS - INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, vol. 2016-August, pp. 166-170. Phoenix, Arizona, USA, 25-28 September 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:364964</identifier>
    <title>An inpainting technique based on regularization to remove bleed-through from ancient documents</title>
    <creators>
        <creator>Gerace I</creator>
        <creator>Palumba C</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Bleedthrough removal</subject>
        <subject>Local smoothness</subject>
        <subject>Image regularization</subject>
        <subject>Document image enhancement</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/iwcim.2016.7801177</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/354719</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7801177/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/364964/2016_364964.preprint.pdf?id=people______%3A%3A7fc75c961f4260bdf880499214047fde</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iwcim.2016.7801177</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/354719/2/prod_364964-doc_181160.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/354719&amp;bitstreamId=35386198-1cee-4015-9fb4-0a1c05bae4d9</url>
    </urls>
    <dois>
        <doi>10.1109/iwcim.2016.7801177</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In the techniques proposed so far to remove bleed-through from digital images of ancient documents, two critical aspects are the identification of the occlusion areas, i.e. those pixels where the bleed-through pattern overlaps with the main foreground text, and the inpainting of the areas to be removed with a pattern that is in continuity with the surrounding background, often inhomogeneous due to paper texture or noise. In this paper we propose a new method for bleed-through removal that aims at solving both the aforementioned issues. The method first exploits information from the accurately registered images of the manuscript recto and verso to locate, in each side, the pixels corresponding to the interfering text, no matter if they are pure bleed-through or occlusion pixels. Then, processing separately the two sides, the identified areas are filled in by interpolating, through a suitable regularization model, the surrounding regions. We show the promising results obtained with this method on manuscripts affected by a very strong bleed-through.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
            <orcid>0000-0001-6970-4725</orcid>
            <affiliation code="dnet:pers:691" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365219</identifier>
    <title>SIDEMAN: Service discovery in mobile social networks</title>
    <creators>
        <creator orcid="0000-0002-3683-7158">Girolami M</creator>
        <creator>Basagni S</creator>
        <creator orcid="0000-0002-4957-828X">Furfari F</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Service Discovery</subject>
        <subject>Mobile Social Networks</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/359105</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359105&amp;bitstreamId=f5c4ab85-3779-456f-8d10-fcc89259fd3c</url>
        <url hostedBy="www.oldcitypublishing.com" rights="Restricted">https://www.oldcitypublishing.com/journals/ahswn-home/ahswn-issue-contents/ahswn-volume-34-number-1-4-2016/ahswn-34-1-p-1-39/</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>In this paper we present SIDEMAN, a service discovery algorithm that exploits human mobility patterns in Mobile Social Networks (MSN). SIDEMAN takes advantage of two aspects of MSN, namely, that users tend to form communities, and that users in the same community share interests for similar services. The performance of SIDEMAN has been evaluated through simulations in real and synthetic scenarios: A set of traces collected at IEEE Infocom 2006 and traces obtained from the HCMM mobility model, respectively.We have compared our algorithm to the social version of two popular discovery techniques, namely, flooding and gossiping. We investigated the following key metrics: How proactive an algorithm is in distributing services of interest (Recall); how many services are already with a user when s/he needs them (Gain); the energy cost necessary for service discovery; the time needed to reply to a service query, and the average number of services stored and exchanged. Our results show that in all considered scenarios SIDEMAN is remarkably effective in obtaining flawless Recall and a Gain that is always comparable to that of the other algorithms. Furthermore, most services are retrieved in reasonable time and at a remarkably lower energy cost than that of flooding and gossiping-based solutions.</abstract>
    <source>AD-HOC &amp; SENSOR WIRELESS NETWORKS, vol. 34 (issue 1-4), pp. 1-39</source>
    <projects>
        <project>
            <openaireId>corda_______::41cfe5eaa3ee385fef0774a9e23ba932</openaireId>
            <code>247950</code>
            <name>UNIVERsal open platform and reference Specification for Ambient Assisted Living</name>
            <acronym>UNIVERSAAL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:179</infoId>
            <name>Furfari, Francesco</name>
            <orcid>0000-0002-4957-828X</orcid>
            <affiliation code="dnet:pers:179" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:148</infoId>
            <name>Girolami, Michele</name>
            <orcid>0000-0002-3683-7158</orcid>
            <affiliation code="dnet:pers:148" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:365221</identifier>
    <title>Spatio-temporal model-checking for collective adaptive systems</title>
    <creators>
        <creator orcid="0000-0003-1314-0574">Ciancia V</creator>
        <creator orcid="0000-0002-3257-9059">Latella D</creator>
        <creator>Loreti M</creator>
        <creator orcid="0000-0001-5089-002X">Massink M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Modal Logics</subject>
        <subject>Temporal Logics</subject>
        <subject>Model Checking</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359107</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365221/2016_%20365221.published.pdf?id=people______%3A%3Ab4855150e0a397d4daf290acbbd7d908</url>
        <url hostedBy="www.ada-europe.org" rights="Open Access">http://www.ada-europe.org/auj/archive/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359107/1/prod_365221-doc_120455.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Spatial aspects of computation are becoming increasingly relevant when dealing with systems distributed in physical space. Traditional formal verification techniques are well suited to analyse the temporal evolution of system models; however, properties of space are typically not taken into account explicitly. In this position paper we briefly review some of the recent developments of spatial and spatio-temporal model-checking in the context of the European research project QUANTICOL funded by the FET-Proactive programme on Fundamentals of Collective Adaptive Systems. We illustrate some typical applications of spatial and spatio-temporal model checking on collective adaptive systems and provide an outline for further developments.</abstract>
    <source>ADA USER JOURNAL, vol. 37 (issue 4), pp. 223-227</source>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1051</infoId>
            <name>Ciancia, Vincenzo</name>
            <orcid>0000-0003-1314-0574</orcid>
            <affiliation code="dnet:pers:1051" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:960</infoId>
            <name>Latella, Diego</name>
            <orcid>0000-0002-3257-9059</orcid>
            <affiliation code="dnet:pers:960" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1455</infoId>
            <name>Massink, Mieke</name>
            <orcid>0000-0001-5089-002X</orcid>
            <affiliation code="dnet:pers:1455" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
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    <datasets/>
    <citations/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365225</identifier>
    <title>A smart device for monitoring railway tracks in remote areas</title>
    <creators>
        <creator orcid="0000-0002-7441-8528">Leone G R</creator>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0001-5068-2861">Pieri G</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Embedded systems</subject>
        <subject>Railway Monitoring</subject>
        <subject>Real-Time Imaging</subject>
        <subject>Smart cameras</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/iwcim.2016.7801191</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359111</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7801191/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365225/2016_365225.postprint.pdf?id=people______%3A%3Ab43a0801a92d51588c5aa466e0c41bd8</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iwcim.2016.7801191</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359111/2/prod_365225-doc_181217.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359111&amp;bitstreamId=11ade164-5dfa-4400-92bf-0edf5ba68872</url>
    </urls>
    <dois>
        <doi>10.1109/iwcim.2016.7801191</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper we present a smart camera prototype capable of performing computer vison tasks directly on-board. The prototype is applied to real time monitoring of railways for detecting fast failures and other hazardous events to train circulation and providing notifications and early warnings to users. Experiments in a test site are reported together with encouraging preliminary results.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:455</infoId>
            <name>Leone, Giuseppe Riccardo</name>
            <orcid>0000-0002-7441-8528</orcid>
            <affiliation code="dnet:pers:455" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:484</infoId>
            <name>Pieri, Gabriele</name>
            <orcid>0000-0001-5068-2861</orcid>
            <affiliation code="dnet:pers:484" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365227</identifier>
    <title>Marine virtual environment to access underwater cultural heritage</title>
    <creators>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator orcid="0000-0002-4872-9541">Reggiannini M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Optical imaging SoggettiVirtual environment SoggettiUnderwater cultural heritage</subject>
        <subject>Three-dimensional displays</subject>
        <subject>Underwater optical</subject>
        <subject>Acoustic data processing</subject>
        <subject>Virtual environments</subject>
        <subject>Image-based modelling and 3d reconstruction</subject>
        <subject>Cameras</subject>
        <subject>Image reconstruction</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/iwcim.2016.7801188</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359113</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7801188/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365227/2016_365227.postprint.pdf?id=people______%3A%3Abc0d60d5432f7e36de67cda1bfa4e3ce</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iwcim.2016.7801188</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359113/2/prod_365227-doc_181161.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359113&amp;bitstreamId=99f7cf98-f5e2-40ea-8f36-53eea4259f2e</url>
    </urls>
    <dois>
        <doi>10.1109/iwcim.2016.7801188</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In the field of underwater cultural heritage, advanced technologies and tools are under development aiming at discovering, mapping, studying and securing archaeological sites. In this paper, we describe the system developed in order to disseminate the data collected during underwater exploration and to provide, to the archeologist, an effective tool to explore and analyze each explored underwater archaeological site. With this aim, the system exploits collected raw data together with the results of the detailed analysis and embeds them in a 3D interactive and informative scene. The scene is accessible both by the experts (for research purposes) and by general public (for dissemination of the underwater cultural heritage).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:168</infoId>
            <name>Reggiannini, Marco</name>
            <orcid>0000-0002-4872-9541</orcid>
            <affiliation code="dnet:pers:168" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365229</identifier>
    <title>Does code coverage provide a good stopping rule for operational profile based testing?</title>
    <creators>
        <creator>Miranda B</creator>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Operational Profile Based Testing</subject>
        <subject>Operational Coverage</subject>
        <subject>Program Spectra</subject>
        <subject>Coverage Testing</subject>
        <subject>Relative Coverage</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">https://dl.acm.org/doi/10.1145/2896921.2896934</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2896921.2896934</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359115</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365229/2016_365229.postprint.pdf?id=people______%3A%3A019b9e4d95c9318f76050754a4b6a655</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2896921.2896934</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359115/2/prod_365229-doc_166270.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359115&amp;bitstreamId=f0aba3d3-ecbf-4a4c-835b-3fc63229c144</url>
    </urls>
    <dois>
        <doi>10.1145/2896921.2896934</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We introduce a new coverage measure, called the operational coverage, which is customized to the usage profile (count spectrum) of the entities to be covered. Operational coverage is proposed as an adequacy criterion for operational profile based testing, i.e., to assess the thoroughness of a black box test suite derived from the operational profile. To validate the approach we study the correlation between operational coverage of branches, statements, and functions, and the probability that the next test input will not fail. On the three subjects considered, we observed a moderate correlation in all cases (except a low correlation for function coverage for one subject), and consistently better results than traditional coverage measure.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365244</identifier>
    <title>Understanding underwater archaeological scenarios by optical and acoustic sensing tools</title>
    <creators>
        <creator orcid="0000-0002-4872-9541">Reggiannini M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Underwater Cultural Heritage</subject>
        <subject>Multi-sensor data analysis</subject>
        <subject>Underwater Robotics</subject>
        <subject>Archaeological Object Recognition</subject>
        <subject>Image-based modelling and 3D reconstruction</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/iwcim.2016.7801187</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359130</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7801187/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365244/2016_365244.postprint.pdf?id=people______%3A%3A24dec5e96fef3b9abea26c2e5a18a809</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iwcim.2016.7801187</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359130/2/prod_365244-doc_181218.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359130&amp;bitstreamId=5d535b97-fb42-4fb2-a920-7ae1295f78d8</url>
    </urls>
    <dois>
        <doi>10.1109/iwcim.2016.7801187</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Underwater seafloors represent a huge archive of manmade artefacts, a cultural heritage whose abandon process started since man has been able to travel by the waters. In order to put this heritage under safeguard and preservation archaeologists require and request for technological support provided by the scientific community. Automated procedures tailored for the purposes of manmade object recognition in the underwater scenario represent the main topic discussed in this work. In particular the authors propose a set of procedures that enables to extract meaningful insights about the inspected environment and that can be exploited to assign a label of interest, in terms of cultural significance, to the surveyed areas. Furthermore the authors introduce a sketch of a framework according to which the identification of interesting areas on the seafloor may be implemented in terms of a Bayes decision system.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:168</infoId>
            <name>Reggiannini, Marco</name>
            <orcid>0000-0002-4872-9541</orcid>
            <affiliation code="dnet:pers:168" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365247</identifier>
    <title>Watermarking information layers in multispectral images of cultural heritage objects</title>
    <creators>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Digital Rights Management</subject>
        <subject>Digital watermarking</subject>
        <subject>Principal component analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/iwcim.2016.7801176</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359133</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7801176/#full-text-section</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365247/2016_365247.postprint.pdf?id=people______%3A%3A2d3712946fcf210901856af559dcaaed</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iwcim.2016.7801176</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359133/2/prod_365247-doc_181162.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359133&amp;bitstreamId=25458957-e5c1-4fb4-9cc0-ac07b8ae6d46</url>
    </urls>
    <dois>
        <doi>10.1109/iwcim.2016.7801176</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present a strategy for transparent, robust watermarking to protect intellectual property rights on cultural heritage images. This can be applied on any kind of vector image, from color to hyperspectral, and has a particular value when each individual channel has its own significance and can be used independently of the others, as often happens with quantitative diagnostic images. For color images, we can reduce the correlation between channels by relying on alternative color spaces. Dealing with images with any number of channels, we rather propose to work in the principal component space, whatever the watermarking algorithm chosen. We motivate why this is advantageous and show an example experiment using an embedding procedure proposed in the literature.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
            <affiliation code="dnet:pers:1193" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:365249</identifier>
    <title>Joint non-rigid registration and restoration of recto-verso ancient manuscripts</title>
    <creators>
        <creator orcid="0000-0002-8841-5440">Savino P</creator>
        <creator>Bedini L</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Image registration</subject>
        <subject>Bleed-through removal</subject>
        <subject>Document image enhancement</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/iwcim.2016.7801180</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359135</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7801180/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365249/2016_365249.preprint.pdf?id=people______%3A%3Aea34de428acfc879b7cdc2a08ebdc416</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iwcim.2016.7801180</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359135/2/prod_365249-doc_181163.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359135&amp;bitstreamId=51dda4a6-9ec2-42b7-a672-00670a93dfe0</url>
    </urls>
    <dois>
        <doi>10.1109/iwcim.2016.7801180</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Ancient manuscripts written on both pages of the sheet are frequently affected by ink bleeding from the reverse side, which produces a significant degradation of the text. Effective digital image restoration techniques may require the use of the content of both document sides, thus needing their perfect alignment. Usually, recto and verso are not aligned either for rigid misalignments occurring during acquisition, or for non-rigid deformations of the sheet. In this paper we propose a novel method to jointly register and restore color recto-verso manuscript images in a piecewise manner, by subdividing the images into sub-images that exhibit apparent, different deformations of one with respect to the other. For each pair of corresponding sub-images, a specific projective transformation is computed, the two sub-images are registered, and then restored with a pixel-by-pixel algorithm that returns free of interferences versions of the images in their original acquisition layout. The projective transformation is estimated exploiting the precise computation of the shifts of a large number of small corresponding recto and verso patches, via correlation of their gradients. The experiments show that this combined procedure of local registration plus restoration can provide an excellent removal of bleed-through, while leaving unaltered the salient features of the original manuscripts.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:719</infoId>
            <name>Savino, Pasquale</name>
            <orcid>0000-0002-8841-5440</orcid>
            <affiliation code="dnet:pers:719" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
            <orcid>0000-0001-6970-4725</orcid>
            <affiliation code="dnet:pers:691" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365251</identifier>
    <title>Monitoring of learning path for business process models</title>
    <creators>
        <creator>Subramanian V</creator>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Technology-enhanced Learning</subject>
        <subject>Business Process Management</subject>
        <subject>Monitoring</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5220/0005845300620072</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/359137</url>
        <url hostedBy="www.scitepress.org" rights="Open Access">http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220%2f0005845300620072</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.5220/0005845300620072</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/359137/1/prod_365251-doc_120471.pdf</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-84966990632&amp;partnerID=MN8TOARS</url>
    </urls>
    <dois>
        <doi>10.5220/0005845300620072</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In modern society the employees of complex organizations are under pressure to constantly improve their knowledge and skills. Novel approaches and tools to support effective and efficient workplace learning in collaborative and engaging ways are needed. On the other hand, Business Process Management (BPM) is more and more employed to support and manage the complex processes carried out within organizations. BPM can be used as well to guide workplace learning, with the advantage of naturally aligning training tasks to real tasks. We introduce a specification of learning path that maps BPM tasks and activities into sequences of learning tasks. Our learning path specification can thus be used to both drive learning sessions carried out by simulation, and to inform a monitor that can assess learner's progress. The goal is to combine work and learning in natural and effective way and use available business monitoring techniques to monitor the learning progress of the learners. In the paper we describe our specification, the e-learning platform under development, and the approach to derive monitoring rules. The approach is illustrated through a simple motivational example.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>Adesina, A. and Molloy, D. (2012). Virtual learning process environment: Cohort analytics for learning and learning processes. World Academy of Science, Engineering and Technology, 65.</citation>
        <citation>Billett, S. (2001). Learning in the Workplace: Strategies for Effective Practice. ERIC.</citation>
        <citation>Billett, S. (2004). Workplace participatory practices: Conceptualising workplaces as learning environments. Journal of workplace learning, 16(6):312-324.</citation>
        <citation>Buchmann, A. and Koldehofe, B. (2009). Complex event processing. it-Information Technology Methoden und innovative Anwendungen der Informatik und Informationstechnik, 51(5):241-242.</citation>
        <citation>Calabro, A., Lonetti, F., and Marchetti, E. (2015). Monitoring of business process execution based on performance indicators. In Software Engineering and Advanced Applications (SEAA), 2015 41st Euromicro Conference on, pages 255-258. IEEE.</citation>
        <citation>Clement, J. (2000). Model based learning as a key research area for science education. International Journal of Science Education, 22(9):1041-1053.</citation>
        <citation>Drools Fusion 6.0.3 (2015). Drools Fusion: Complex Event Processor. http://www.jboss.org/drools/droolsfusion.html. Last Accessed: 27th November 2015.</citation>
        <citation>Global (2003). IMS- Learning Design.</citation>
        <citation>Last Accessed: 27 November 2015.</citation>
        <citation>Janssen, J., Berlanga, A., Vogten, H., and Koper, R. (2008a). Towards a learning path specification. International journal of continuing engineering education and life long learning, 18(1):77-97.</citation>
        <citation>Janssen, J., Hermans, H., Berlanga, A. J., and Koper, R. (2008b). Learning path information model. Retrieved November, 9:2008.</citation>
        <citation>Jeston, J. and Nelis, J. (2014). Business process management. Routledge.</citation>
        <citation>Karampiperis, P. and Sampson, D. (2007). Towards a common graphical language for learning flows: Transforming bpel to ims learning design level a representations. In Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on, pages 798-800. IEEE.</citation>
        <citation>Koetter, F. and Kochanowski, M. (2012). Goal-oriented model-driven business process monitoring using progoalml. In Business Information Systems, pages 72- 83. Springer.</citation>
        <citation>Koper, R. and Specht, M. (2006). Ten-competence: Lifelong competence development and learning.</citation>
        <citation>Learn PAd (2015). Learn PAd - Model-Based Social Learning for Public Administrations. http://www.learnpad.eu. Last Accessed: 27 November 2015.</citation>
        <citation>Lin, J., Ho, C., Sadiq, W., and Orlowska, M. E. (2002). Using workflow technology to manage flexible elearning services. Journal of Educational Technology &amp; Society, 5(4):116-123.</citation>
        <citation>Marin˜o, O., Casallas, R., Villalobos, J., Correal, D., and Contamines, J. (2007). Bridging the gap between elearning modeling and delivery through the transformation of learnflows into workflows. In E-Learning Networked Environments and Architectures, pages 27-59. Springer.</citation>
        <citation>OMG: BPMN (2011). Business Process Modeling Notations.2.0. http://www.omg.org/spec/BPMN/2.0/. Last Accessed: 27 November 2015.</citation>
        <citation>Parmenter, D. (2015). Key performance indicators: developing, implementing, and using winning KPIs. John Wiley &amp; Sons.</citation>
        <citation>Rademakers, T. (2012). Activiti in Action: Executable business processes in BPMN 2.0. Manning Publications Co.</citation>
        <citation>van der Aalst, W., ter Hofstede, A., and Weske, M. (2003). Business process management: A survey. In van der Aalst, W. and Weske, M., editors, Business Process Management, volume 2678 of Lecture Notes in Computer Science, pages 1-12. Springer Berlin Heidelberg.</citation>
        <citation>Van Der Aalst, W. and Van Hee, K. M. (2004). Workflow management: models, methods, and systems. MIT press.</citation>
        <citation>Van Der Aalst, W. M., Ter Hofstede, A. H., and Weske, M. (2003). Business process management: A survey. In Business process management, pages 1-12. Springer.</citation>
        <citation>Vantroys, T. and Peter, Y. (2003). Cow, a flexible platform for the enactment of learning scenarios. In Groupware: Design, Implementation, and Use, pages 168- 182. Springer.</citation>
    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365253</identifier>
    <title>The HDR-video pipeline</title>
    <creators>
        <creator>Unger J</creator>
        <creator orcid="0000-0002-6374-6657">Banterle F</creator>
        <creator>Eilertsen G</creator>
        <creator>Mantiuk R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>High Dynamic Range Imaging</subject>
        <subject>High Dynamic Range Video</subject>
        <subject>HDR Video Tone Mapping</subject>
        <subject>HDR Video Compression</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/egt20161034</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/egt.20161034</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/359139</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359139&amp;bitstreamId=e23bbe8b-3882-4b4c-b3b1-0ef230739dce</url>
    </urls>
    <dois>
        <doi>10.2312/egt.20161034</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>High dynamic range (HDR) video technology has gone through remarkable developments over the last few years; HDR-video cameras are being commercialized, new algorithms for color grading and tone mapping specifically designed for HDR-video have recently been proposed, and the first open source compression algorithms for HDR-video are becoming available. HDR-video represents a paradigm shift in imaging and computer graphics, which has and will continue to generate a range of both new research challenges and applications. This intermediate-level tutorial will give an in-depth overview of the full HDR-video pipeline present several examples of state-of-the-art algorithms and technology in HDR-video capture, tone mapping, compression and specific applications in computer graphics.</abstract>
    <source>EUROGRAPHICS TECHNICAL REPORT SERIES. Lisbon, Portugal, 9-13 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:941</infoId>
            <name>Banterle, Francesco</name>
            <orcid>0000-0002-6374-6657</orcid>
            <affiliation code="dnet:pers:941" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/egt.20161034" url="https://dx.doi.org/10.2312/egt.20161034">The HDR-video Pipeline</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365259</identifier>
    <title>Landfills as critical infrastructures: analysis of observational datasets after 12 years of non-invasive monitoring</title>
    <creators>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
        <creator orcid="0000-0002-0196-9855">Raco B</creator>
        <creator>Battaglini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Remote sensing</subject>
        <subject>Landfills</subject>
        <subject>Radiometry</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/359550</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359550&amp;bitstreamId=7531daab-4778-4554-a3d1-cd9eaf5eab07</url>
        <url hostedBy="meetingorganizer.copernicus.org" rights="Restricted">http://meetingorganizer.copernicus.org/EGU2016/EGU2016-16643.pdf</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This work presents the results of more than ten years of observations, performed on a regular basis, on a municipal solid waste disposal located in Italy. Observational data are generated by the combination of non-invasive techniques, involving the direct measurement of biogas release to the atmosphere and thermal infrared imaging. In fact, part of the generated biogas tends to escape from the landfill surface even when collecting systems are installed and properly working. Thus, methodologies for estimating the behaviour of a landfill system by means of direct and/or indirect measurement systems have been developed in the last decades. It is nowadays known that these infrastructures produce more than 20% of the total anthropogenic methane released to the atmosphere, justifying the need for a systematic and efficient monitoring of such infrastructures. During the last 12 years, observational data regarding a solid waste disposal site located in Tuscany (Italy) have been collected on a regular basis. The collected datasets consist in direct measurements of gas flux with the accumulation chamber method, combined with the detection of thermal anomalies by infrared radiometry. This work discusses the evolution of the estimated performance of the landfill system, its trends, the benefits and the critical aspects of such relatively long-term monitoring activity.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou228</code>
            <name>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</name>
            <acronym>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365261</identifier>
    <title>Groundwater vulnerability to climate variability: modelling experience and field observations in the lower Magra Valley (Liguria, Italy)</title>
    <creators>
        <creator orcid="0000-0001-6614-3766">Menichini M</creator>
        <creator orcid="0000-0002-7848-1225">Doveri M</creator>
        <creator>El Mansouri B</creator>
        <creator>El Mezouari L</creator>
        <creator orcid="0000-0002-7931-1789">Lelli M</creator>
        <creator orcid="0000-0002-0196-9855">Raco B</creator>
        <creator orcid="0000-0001-8107-4113">Scozzari A</creator>
        <creator orcid="0000-0002-0377-3127">Soldovieri F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Groundwater</subject>
        <subject>Modelling</subject>
        <subject>Vulnerability</subject>
        <subject>Climate change</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/359552</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/359552&amp;bitstreamId=759d9b61-a2c1-4fc4-ac7e-45719f0ed3c0</url>
        <url hostedBy="meetingorganizer.copernicus.org" rights="Restricted">http://meetingorganizer.copernicus.org/EGU2016/EGU2016-15483.pdf</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The aquifer of the Lower Magra Valley (SE Liguria, Italy) extends in a flat plain, where two main rivers (Magra and Vara) flow. These rivers are characterized by a wide variation of water level and water chemical composition (TDS, Cl and SO4) due to the combination of rainfall regime and the presence of thermal springs in the inner part of the catchment area. Groundwater flow is apparently controlled by stream water infiltration, which affects both water levels and water quality. In particular, the wide range of variation of some particular chemical species in the stream water influences the groundwater chemistry on a seasonal basis. In the area of interest, there is an important well-field, which supplies most of the drinking water to the nearby city of La Spezia. In this context, the groundwater system is exposed to a high degree of vulnerability, both in terms of quality and quantity. This study is aimed to develop a predictive flow and transport model in order to assess the vulnerability s.l. of the Magra Valley aquifer system and to evaluate its behaviour in awaited climate scenarios. A flow and transport model was developed by using MODFLOW and MT3DMS codes, and it's been calibrated in both steady state and transient conditions. The model confirmed the importance of the Magra river in the water balance and chemical composition of the extracted groundwater. In addition, a data-driven modelling approach was applied in order to determine boundary conditions (e.g. rivers and constant head or general head boundaries) of the physical model under hypothetic future climate scenarios. For this purpose, fully synthetic datasets have been generated as a training set of the data-driven scheme, with input variables inspired by selected climate models and input/output relationships estimated by past observations. An experimental run of the flow-transport model for 30 years ahead was performed, based on such hypothetic scenarios. This approach highlighted how the groundwater flow of the studied aquifer is highly vulnerable and sensitive to climate conditions.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:897</infoId>
            <name>Lelli, Matteo</name>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1555</infoId>
            <name>Scozzari, Andrea</name>
            <orcid>0000-0001-8107-4113</orcid>
            <affiliation code="dnet:pers:1555" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou228</code>
            <name>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</name>
            <acronym>Istituto di Geoscienze e Georisorse - IGG - Sede Pisa</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou290</code>
            <name>Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA</name>
            <acronym>Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365328</identifier>
    <title>Learn PAd: collaborative and model-based learning in public administrations</title>
    <creators>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
        <creator orcid="0000-0002-1076-0076">De Angelis G</creator>
        <creator>Polini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>E-learning</subject>
        <subject>Business Process Management</subject>
        <subject>Public Administration</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/352729</url>
        <url hostedBy="www.unisannio.it" rights="Open Access">http://www.unisannio.it/I-CiTies2016/program.html</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/352729/1/prod_365328-doc_120498.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In modern society public administrations (PAs) are undergoing a transformation of their perceived role from controllers to proactive service providers. PAs are often under pressure to constantly improve the quality of delivered services, while coping with quickly changing context (changes in law and regulations, societal globalization, fast technology evolution) and decreasing budgets. As a result civil servants supporting the delivery of such services to citizens are challenged to understand and put in action latest procedures and rules within tight time constraints. In Learn PAd we propose to organize knowledge, and base the learning activities, according to several model kinds permitting to describe the activities to perform by the civil servants and their working context. Models also constitute the starting point to shape a collaborative platform that civil servants will use to share their competences on the activities to perform to serve citizens requests.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:809</infoId>
            <name>De Angelis, Guglielmo</name>
            <orcid>0000-0002-1076-0076</orcid>
            <affiliation code="dnet:pers:809" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou162</code>
            <name>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</name>
            <acronym>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365360</identifier>
    <title>cSculpt: A system for collaborative sculpting</title>
    <creators>
        <creator>Calabrese C</creator>
        <creator>Salvati G</creator>
        <creator orcid="0000-0003-2301-3173">Tarini M</creator>
        <creator>Pellacini F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Digital sculpting and painting</subject>
        <subject>Collaborative modeling</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ACM Transactions on Graphics" rights="Open Access">https://air.unimi.it/bitstream/2434/553614/2/2016_cscuplt.compressed.pdf</url>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2925956</url>
        <url hostedBy="ACM Transactions on Graphics" rights="Closed Access">https://doi.org/10.1145/2897824.2925956</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2897824.2925956</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/353171</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/353171&amp;bitstreamId=d5a8e1ae-a428-497c-8a38-24ab5d3aab57</url>
    </urls>
    <dois>
        <doi>10.1145/2897824.2925956</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Collaborative systems are well established solutions for sharing work among people. In computer graphics these workflows are still not well established, compared to what is done for text writing or software development. Usually artists work alone and share their final models by sending files. In this paper we present a system for collaborative 3D digital sculpting. In our prototype, multiple artists concurrently sculpt a polygonal mesh on their local machines by changing its vertex properties, such as positions and material BRDFs. Our system shares the artists' edits automatically and seamlessly merges these edits even when they happen on the same region of the surface. We propose a merge algorithm that is fast-enough for seamless collaboration, respects users' edits as much as possible, can support any sculpting operation, and works for both geometry and appearance modifications. Since in sculpting artists alternatively perform fine adjustments and large scale modifications, our algorithm is based on a multiresolution edit representation that handles concurrent overlapping edits at different scales. We tested our algorithm by modeling meshes collaboratively in different sculpting sessions and found that our algorithm outperforms prior works on collaborative mesh editing in all cases.</abstract>
    <source>ACM TRANSACTIONS ON GRAPHICS, vol. 35 (issue 4)</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:772</infoId>
            <name>Tarini, Marco</name>
            <orcid>0000-0003-2301-3173</orcid>
            <affiliation code="dnet:pers:772" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365362</identifier>
    <title>FlexMolds: Automatic Design of Flexible Shells for Molding</title>
    <creators>
        <creator orcid="0000-0001-7892-894X">Malomo L</creator>
        <creator orcid="0000-0002-8271-2102">Pietroni N</creator>
        <creator>Bickel B</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>0806 Information Systems</subject>
        <subject>Casting</subject>
        <subject>Digital fabrication</subject>
        <subject>005 Computer programming</subject>
        <subject>knowledge &amp; systems</subject>
        <subject>Software Engineering</subject>
        <subject>programs &amp; data</subject>
        <subject>Shape modeling</subject>
        <subject>0801 Artificial Intelligence and Image Processing</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>Modeling</subject>
        <subject>000 Computer science</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2982397</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2980179.2982397</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/353173</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365362/2016_365362.postprint.pdf?id=people______%3A%3A80bca3dea992665db65cba95a9c38f0a</url>
        <url hostedBy="IST PubRep" rights="Open Access">https://repository.ist.ac.at/760/</url>
        <url hostedBy="ACM Transactions on Graphics" rights="Open Access">https://research-explorer.app.ist.ac.at/download/1099/4918/IST-2017-760-v1%2B1_flexmolds.pdf</url>
        <url hostedBy="ACM Transactions on Graphics" rights="Closed Access">https://doi.org/10.1145/2980179.2982397</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/353173/2/prod_365362-doc_170072.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/353173&amp;bitstreamId=1251ee76-7bb8-4d5d-b6e0-06e0b7e9f769</url>
    </urls>
    <dois>
        <doi>10.1145/2980179.2982397</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present FlexMolds, a novel computational approach to automatically design flexible, reusable molds that, once 3D printed, allow us to physically fabricate, by means of liquid casting, multiple copies of complex shapes with rich surface details and complex topology. The approach to design such flexible molds is based on a greedy bottom-up search of possible cuts over an object, evaluating for each possible cut the feasibility of the resulting mold. We use a dynamic simulation approach to evaluate candidate molds, providing a heuristic to generate forces that are able to open, detach, and remove a complex mold from the object it surrounds. We have tested the approach with a number of objects with nontrivial shapes and topologies.</abstract>
    <source>ACM TRANSACTIONS ON GRAPHICS, vol. 35 (issue 6)</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/645599/EU/Soft-bodied intelligence for Manipulation/SoMa</infoId>
            <openaireId>corda__h2020::6d792d90c6cd5860393cd6abe62b177a</openaireId>
            <code>645599</code>
            <name>Soft-bodied intelligence for Manipulation</name>
            <acronym>SoMa</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:231</infoId>
            <name>Malomo, Luigi</name>
            <orcid>0000-0001-7892-894X</orcid>
            <affiliation code="dnet:pers:231" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:636</infoId>
            <name>Pietroni, Nico</name>
            <orcid>0000-0002-8271-2102</orcid>
            <affiliation code="dnet:pers:636" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365369</identifier>
    <title>Volume-encoded UV-maps</title>
    <creators>
        <creator orcid="0000-0003-2301-3173">Tarini M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Texture Mapping</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>UV maps</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2925898</url>
        <url hostedBy="ACM Transactions on Graphics" rights="Closed Access">https://doi.org/10.1145/2897824.2925898</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2897824.2925898</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/353180</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/353180&amp;bitstreamId=9408be07-f25a-4ee7-9cf7-f374e1603126</url>
    </urls>
    <dois>
        <doi>10.1145/2897824.2925898</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>UV-maps are required in order to apply a 2D texture over a 3D model. Conventional UV-maps are defined by an assignment of uv positions to mesh vertices. We present an alternative representation, volume-encoded UV-maps, in which each point on the surface is mapped to a uv position which is solely a function of its 3D position. This function is tailored for a target surface: its restriction to the surface is a parametrization exhibiting high quality, e.g. in terms of angle and area preservation; and, near the surface, it is almost constant for small orthogonal displacements. The representation is applicable to a wide range of shapes and UV-maps, and unlocks several key advantages: it removes the need to duplicate vertices in the mesh to encode cuts in the map; it makes the UV-map representation independent from the meshing of the surface; the same texture, and even the same UV-map, can be shared by multiple geometrically similar models (e.g. all levels of a LoD pyramid); UV-maps can be applied to representations other than polygonal meshes, like point clouds or set of registered range-maps. Our schema is cheap on GPU computational and memory resources, requiring only a single, cache-coherent indirection to a small volumetric texture per fragment. We also provide an algorithm to construct a volume-encoded UV-map given a target surface.</abstract>
    <source>ACM TRANSACTIONS ON GRAPHICS, vol. 35 (issue 4)</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:772</infoId>
            <name>Tarini, Marco</name>
            <orcid>0000-0003-2301-3173</orcid>
            <affiliation code="dnet:pers:772" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365371</identifier>
    <title>Teaching (digital) epigraphy</title>
    <creators>
        <creator>Lamé M</creator>
        <creator orcid="0000-0002-2974-0577">Ponchio F</creator>
        <creator>Radmanlivaja I</creator>
        <creator>Robertson B</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Educational project</subject>
        <subject>Digital epigraphy</subject>
        <subject>Epigraphy</subject>
        <subject>Open Access</subject>
        <subject>Primary sources</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/353182</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/353182/1/prod_365371-doc_120520.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Although having the experience of directly manipulating an ancient textbearing artifact is important for developing the skills of an epigrapher - an experience that books and photo cannot replace - such access to primary sources is often problematic. In this article we present our experience with teaching students to transcribe and interpret Roman inscribed lead tags, using a Digital Autoptic Process (DAP) in a Web environment, so to develop basic competences in epigraphy and digital epigraphy.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:870</infoId>
            <name>Ponchio, Federico</name>
            <orcid>0000-0002-2974-0577</orcid>
            <affiliation code="dnet:pers:870" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365376</identifier>
    <title>Anisotropic MatCap: easy capture and reproduction of anisotropic materials</title>
    <creators>
        <creator>Magri D</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator orcid="0000-0003-2301-3173">Tarini M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Anisotropic Material</subject>
        <subject>Real time rendering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/stag20161366</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/stag.20161366</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/353187</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/353187&amp;bitstreamId=66d7f478-54cc-4884-9a7e-148255a6f7ee</url>
    </urls>
    <dois>
        <doi>10.2312/stag.20161366</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We propose Anisotropic MatCap, a simple data structure based on a small volumetric texture that is able to represent, under a fixed lighting, the behavior of anisotropic materials. The data structure is designed to allow fast and practical capture of real-world anisotropic materials (like for example fabrics) and to be used in real-time renderings, requiring only negligible time and texture memory overheads. The resulting technique is suited for application scenarios where digital objects must be inspected by an end user, recreating the look of an object made of a captured anisotropic material and seen under the predetermined lighting conditions. The technique proved particularly useful for garments and cloth visualization and design.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:772</infoId>
            <name>Tarini, Marco</name>
            <orcid>0000-0003-2301-3173</orcid>
            <affiliation code="dnet:pers:772" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/stag.20161366" url="https://dx.doi.org/10.2312/stag.20161366">Anisotropic MatCap: Easy Capture and Reproduction of Anisotropic Materials</dataset>
    </datasets>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:365381</identifier>
    <title>gCube GeoExplorer</title>
    <creators>
        <creator orcid="0000-0002-6528-664X">Mangiacrapa F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Geo Network</subject>
        <subject>Geo Spatial</subject>
        <subject>Geo Server</subject>
        <subject>Spatio-Temporal Data</subject>
        <subject>WMS</subject>
        <subject>WFS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/353192</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases#geo-explorer</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>gCube GeoExplorer is a web application that allows users to navigate, search, organize and download GIS Layers. GeoExplorer operates on a GeoNetwork instance in order to discover layers (and metadatas) residing on a distributed e-Infrastructure.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:250</infoId>
            <name>Mangiacrapa, Francesco</name>
            <orcid>0000-0002-6528-664X</orcid>
            <affiliation code="dnet:pers:250" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:365384</identifier>
    <title>gCube GisViewer</title>
    <creators>
        <creator orcid="0000-0002-6528-664X">Mangiacrapa F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>iMarine project</subject>
        <subject>Collaborative Environment</subject>
        <subject>Geospatial Data</subject>
        <subject>WMS</subject>
        <subject>WFS</subject>
        <subject>Gis Layers</subject>
        <subject>GeoServer</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/353195</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases#gis-viewer</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>gCube GisViewer is a web application that allows users to explore and analyze geospatial data on an interactive map. The GisViewer can show one or more layers allowing users to analyze information of a layer and the relationships among more layers (through overlaps, transparencies, export formats and filters).</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:250</infoId>
            <name>Mangiacrapa, Francesco</name>
            <orcid>0000-0002-6528-664X</orcid>
            <affiliation code="dnet:pers:250" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <acronym>05.11 Software</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:365403</identifier>
    <title>gCube Workspace environment</title>
    <creators>
        <creator orcid="0000-0002-6528-664X">Mangiacrapa F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>iMarine project</subject>
        <subject>Collaborative Environment</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/353214</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases#workspace</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The gCube Workspace environment represents a collaborative area in which users can save, exchange, share, create public links and organize information objects (files) according to their specific needs. Because of this, every user of any Virtual Research Environment in the D4Science Infrastructure is provided with this area.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:250</infoId>
            <name>Mangiacrapa, Francesco</name>
            <orcid>0000-0002-6528-664X</orcid>
            <affiliation code="dnet:pers:250" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
    <collections>
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            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:365426</identifier>
    <title>e-Infrastructure Catalogue of Services</title>
    <creators>
        <creator>Andreozzi S</creator>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
        <creator>Dappert A</creator>
        <creator>Ferrari T</creator>
        <creator>Krakowian M</creator>
        <creator>Reetz J</creator>
        <creator>Steijaert A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>e-Infrastructure services</subject>
        <subject>Catalogue of services CoS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/353237</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365426/2016_365426.pdf?id=people______%3A%3A053f5d0f47d9e752fbd48b095f71b944</url>
        <url hostedBy="zenodo.org" rights="Open Access">https://zenodo.org/record/165467#.WIY32VyqGm0</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/353237/1/prod_365426-doc_120542.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This document outlines a framework for creating a Catalogue of Services (CoS), primarily intended for e-Infrastructure services. It describes services at a high level and makes them discoverable. It can also be used to identify overlapping efforts or gaps in the catalogued service landscape. The goal of this document is to define a framework that can be used to specify and implement a concrete catalogue. It is not a catalogue itself and does not list or describe services.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
    <collections>
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            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:365437</identifier>
    <title>Policy Development for Grey Literature Resources: An Assessment of the Pisa Declaration</title>
    <creators>
        <creator>Savic D</creator>
        <creator>Farace D</creator>
        <creator>Frantzen J</creator>
        <creator orcid="0000-0001-9518-0267">Biagioni S</creator>
        <creator orcid="0000-0001-9808-6268">Carlesi C</creator>
        <creator>Gruttemeier H</creator>
        <creator>Stock C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Pisa Declaration; GL Resources Policy</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to conference</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/353248</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/365437/2016_365437.pdf?id=people______%3A%3A17de01818f4c6b37a8555c2cc7006ddf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/353248/1/prod_365437-doc_120550.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In the spring of 2014, a workshop took place at the Italian National Council of Research in Pisa1. The topic of this event dealt with policy development for grey literature resources. Some seventy participants from nine countries took an active part in the workshop - the outcome of which produced what is today known as the Pisa Declaration2. This fifteen point document arising from the input of those who attended the workshop sought to provide a roadmap that would help to serve diverse communities involved in research, publication and the management of grey literature both in electronic and print formats. Two years on, the Pisa Declaration has been translated and published in some twenty languages - all of which are online accessible via the GreyGuide Repository3 and Portal4. Currently, 140 information professionals from renown organizations worldwide have endorsed this document5. In an effort to assess the impact that the Pisa Declaration has had on the policy development for grey literature resources, an online survey among those who endorsed the document will be carried out and their responses will be analyzed. Specific results of the survey should indicate those points in the document that in varying degrees have been implemented since its publication, as well as points that should now be added or which are in need of amendment. The results of the survey and its content analysis should further indicate the overall relevance of the Pisa Declaration and its impact on this field of library and information practice. There are no direct costs associated with this study. Each of the partners is committed to allocate human and material resources needed to carry out his/her related tasks. In the spring of 2014, a workshop took place at the Italian National Council of Research in Pisa1. The topic of this event dealt with policy development for grey literature resources. Some seventy participants from nine countries took an active part in the workshop - the outcome of which produced what is today known as the Pisa Declaration2. This fifteen point document arising from the input of those who attended the workshop sought to provide a roadmap that would help to serve diverse communities involved in research, publication and the management of grey literature both in electronic and print formats. Two years on, the Pisa Declaration has been translated and published in some twenty languages - all of which are online accessible via the GreyGuide Repository3 and Portal4. Currently, 140 information professionals from renown organizations worldwide have endorsed this document5. In an effort to assess the impact that the Pisa Declaration has had on the policy development for grey literature resources, an online survey among those who endorsed the document will be carried out and their responses will be analyzed. Specific results of the survey should indicate those points in the document that in varying degrees have been implemented since its publication, as well as points that should now be added or which are in need of amendment. The results of the survey and its content analysis should further indicate the overall relevance of the Pisa Declaration and its impact on this field of library and information practice. There are no direct costs associated with this study. Each of the partners is committed to allocate human and material resources needed to carry out his/her related tasks.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:540</infoId>
            <name>Biagioni, Stefania</name>
            <orcid>0000-0001-9518-0267</orcid>
            <affiliation code="dnet:pers:540" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:205</infoId>
            <name>Carlesi, Carlo</name>
            <orcid>0000-0001-9808-6268</orcid>
            <affiliation code="dnet:pers:205" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_49</code>
            <name>04.03 Poster in Atti di convegno</name>
            <acronym>04.03 Poster in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366231</identifier>
    <title>Tracing Field-Coherent Quad Layouts</title>
    <creators>
        <creator orcid="0000-0002-8271-2102">Pietroni N</creator>
        <creator>Puppo E</creator>
        <creator>Marcias G</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mesh parametrization</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
        <subject>Quadrangulation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1111/cgf.13045</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/326829</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366231/2016_366231.postprint.pdf?id=people______%3A%3Ae1440907c8ff6062a42557af2e99c4fc</url>
        <url hostedBy="www.scopus.com" rights="Open Access">http://www.scopus.com/inward/record.url?eid=2-s2.0-84992563859&amp;partnerID=q2rCbXpz</url>
        <url hostedBy="Computer Graphics Forum" rights="Closed Access">https://doi.org/10.1111/cgf.13045</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/326829/2/prod_366231-doc_169948.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326829&amp;bitstreamId=eb9da168-3cc6-4f01-95d4-fbf22c9883c8</url>
    </urls>
    <dois>
        <doi>10.1111/cgf.13045</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Given a cross field over a triangulated surface we present a practical and robust method to compute a field aligned coarse quad layout over the surface. The method works directly on a triangle mesh without requiring any parametrization and it is based on a new technique for tracing field-coherent geodesic paths directly on a triangle mesh, and on a new relaxed formulation of a binary LP problem, which allows us to extract both conforming quad layouts and coarser layouts containing t-junctions. Our method is easy to implement, very robust, and, being directly based on the input cross field, it is able to generate better aligned layouts, even with complicated fields containing many singularities. We show results on a number of datasets and comparisons with state-of-the-art methods.</abstract>
    <source>COMPUTER GRAPHICS FORUM (PRINT), vol. 35 (issue 7), pp. 485-496</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:323</infoId>
            <name>Marcias, Giorgio</name>
            <affiliation code="dnet:pers:323" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:636</infoId>
            <name>Pietroni, Nico</name>
            <orcid>0000-0002-8271-2102</orcid>
            <affiliation code="dnet:pers:636" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:366233</identifier>
    <title>Musealizzazione di un dipinto pompeiano: la Venere nella Conchiglia</title>
    <creators>
        <creator orcid="0000-0001-7764-8671">Siotto E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Musealizzazione</subject>
        <subject>Documentazione storica</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326831</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326831&amp;bitstreamId=8044ccfd-d132-493a-a47e-2d21c8b04bff</url>
        <url hostedBy="www.lerma.it" rights="Restricted">http://www.lerma.it/index.php?pg=SchedaTitolo&amp;key=00013070</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>A careful analysis of some documents preserved in the Historical Archive of the Naples Archaeological Superintendence and the printed Guides of the Museum allows to recreate the museum itinerary of the so-called Venere nella Conchiglia (Venus in the Shell) mural painting from the Herculaneum Museum of Portici to the current location in the Gabinetto Segreto (Secret Cabinet) of the National Archaeological Museum of Naples.</abstract>
    <source>RIVISTA DI STUDI POMPEIANI (TESTO STAMP.), vol. XXVI-XXVII, pp. 73-83</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:178</infoId>
            <name>Siotto, Eliana</name>
            <orcid>0000-0001-7764-8671</orcid>
            <affiliation code="dnet:pers:178" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:366236</identifier>
    <title>A methodology for traffic-related Twitter messages interpretation</title>
    <creators>
        <creator>Albuquerque Fc</creator>
        <creator>Casanova Ma</creator>
        <creator>Lopes H</creator>
        <creator>Redlich Lr</creator>
        <creator>De Macedo Jaf</creator>
        <creator>Lemos M</creator>
        <creator>De Carvalho Mtm</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Twitter traffic analysis</subject>
        <subject>General Computer Science</subject>
        <subject>General Engineering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Computers in Industry" rights="Closed Access">https://doi.org/10.1016/j.compind.2015.10.005</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.compind.2015.10.005</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326834</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326834&amp;bitstreamId=ad6f682c-dc96-4ff4-b157-55fc5d95e9d0</url>
        <url hostedBy="www.sciencedirect.com" rights="Restricted">https://www.sciencedirect.com/science/article/pii/S0166361515300506?via%3Dihub</url>
    </urls>
    <dois>
        <doi>10.1016/j.compind.2015.10.005</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>This paper addresses the problem of interpreting tweets that describe traffic-related events and that are distributed by government agencies in charge of road networks or by news agencies. Processing such tweets is of interest for two reasons. First, albeit phrased in natural language, such tweets use a much more regular and well-behaved prose than generic user-generated tweets. This characteristic facilitates automating their interpretation and achieving high precision and recall. Second, government agencies and news agencies use Twitter channels to distribute real-time traffic conditions and to alert drivers about planned changes on the road network and about future events that may affect traffic conditions. Hence, such tweets provide exactly the kind of information that proactive truck fleet monitoring and similar applications require. The main contribution of the paper is an automatic tweet interpretation tool, based on Machine Learning techniques, that achieves good performance for traffic-related tweets distributed by traffic authorities and news agencies. The paper also covers in detail experiments with real traffic-related tweets to access the precision and recall of the tool.</abstract>
    <source>COMPUTERS IN INDUSTRY, vol. 78, pp. 57-69</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366237</identifier>
    <title>Stability of Statics Aware Voronoi Grid-Shells</title>
    <creators>
        <creator>Tonelli D</creator>
        <creator orcid="0000-0002-8271-2102">Pietroni N</creator>
        <creator>Puppo E</creator>
        <creator>Froli M</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator>Amendola G</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>0915 Interdisciplinary Engineering</subject>
        <subject>0912 Materials Engineering</subject>
        <subject>Civil and Structural Engineering</subject>
        <subject>Grid Shells</subject>
        <subject>Civil Engineering</subject>
        <subject>0905 Civil Engineering</subject>
        <subject>Architectural geometry</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.engstruct.2016.02.049</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/326835</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366237/2016_366237.postprint.pdf?id=people______%3A%3A95b63f7ecc213ef174f99a1cf7579035</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">https://www.sciencedirect.com/science/article/abs/pii/S0141029616300074?via%3Dihub</url>
        <url hostedBy="Engineering Structures" rights="Closed Access">https://doi.org/10.1016/j.engstruct.2016.02.049</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/326835/2/prod_366237-doc_170266.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326835&amp;bitstreamId=114e08d1-3fa4-483a-86a8-abdc713ee255</url>
    </urls>
    <dois>
        <doi>10.1016/j.engstruct.2016.02.049</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Grid-shells are lightweight structures used to cover long spans with few load-bearing material, as they excel for lightness, elegance and transparency. In this paper we analyze the stability of hex-dominant free-form grid-shells, generated with the Statics Aware Voronoi Remeshing scheme introduced in Pietroni et al. (2015). This is a novel hex-dominant, organic-like and non uniform remeshing pattern that manages to take into account the statics of the underlying surface. We show how this pattern is particularly suitable for free-form grid-shells, providing good performance in terms of both aesthetics and structural behavior. To reach this goal, we select a set of four contemporary architectural surfaces and we establish a systematic comparative analysis between Statics Aware Voronoi Grid-Shells and equivalent state of the art triangular and quadrilateral grid-shells. For each dataset and for each grid-shell topology, imperfection sensitivity analyses are carried out and the worst response diagrams compared. It turns out that, in spite of the intrinsic weakness of the hexagonal topology, free-form Statics Aware Voronoi Grid-Shells are much more effective than their state-of-the-art quadrilateral counterparts.</abstract>
    <source>ENGINEERING STRUCTURES, vol. 116, pp. 70-82</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:636</infoId>
            <name>Pietroni, Nico</name>
            <orcid>0000-0002-8271-2102</orcid>
            <affiliation code="dnet:pers:636" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366239</identifier>
    <title>QoS guarantees for network bandwidth in private clouds</title>
    <creators>
        <creator orcid="0000-0002-1508-1961">Anastasi Gf</creator>
        <creator orcid="0000-0002-7937-4157">Coppola M</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator>Distefano M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>General Environmental Science</subject>
        <subject>Traffic Control</subject>
        <subject>Cloud Computing</subject>
        <subject>Network guarantees</subject>
        <subject>SLA</subject>
        <subject>General Earth and Planetary Sciences</subject>
        <subject>Quality of Service</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Procedia Computer Science" rights="Open Access">https://doi.org/10.1016/j.procs.2016.08.275</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.procs.2016.08.275</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/326837</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366239/2016_366239.published.pdf?id=people______%3A%3Aeeffe6ec72705ee43d1d67d0d80938e9</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">https://www.sciencedirect.com/science/article/pii/S1877050916320919</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/326837/1/prod_366239-doc_120862.pdf</url>
    </urls>
    <dois>
        <doi>10.1016/j.procs.2016.08.275</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In modern datacenters, variability of network load and performance tipically leads to unpredictable application performance for the many tenants sharing the hardware. To overcome this problem, Cloud providers should supply network guarantees as part of their Quality of Service (QoS) offer to the customers. This paper focuses on providing QoS guarantees for the network bandwidth. Starting form a Service Level Agreement (SLA) specification we model an admission control test and adopt an endpoint-only solution for the provider, enforcing bandwidth guarantees through the Linux Traffic Control (TC) technology. Experiments are reported to show the effectiveness of Linux TC in the proposed approach.</abstract>
    <source>PROCEDIA COMPUTER SCIENCE, vol. 97, pp. 4-13</source>
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        <project>
            <openaireId>corda__h2020::ae5f4187ef0422520437a4367b111d2b</openaireId>
            <code>646159</code>
            <name>Bringing innovAtion by Scaling up nanoMATerials and Inks for printing</name>
            <acronym>BASMATI</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/723131/EU/Cloud Brokerage Across Borders for Mobile Users and Applications/BASMATI</infoId>
            <openaireId>corda__h2020::d5c57ae956555757e4203817601ba7d5</openaireId>
            <code>723131</code>
            <name>Cloud Brokerage Across Borders for Mobile Users and Applications</name>
            <acronym>BASMATI</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/318786/EU/Model and Inference Driven, Automated testing of Services architectures/MIDAS</infoId>
            <openaireId>corda_______::07786f2620775b4522ea2ebed524833d</openaireId>
            <code>318786</code>
            <name>Model and Inference Driven, Automated testing of Services architectures</name>
            <acronym>MIDAS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/256980/EU/Network of Excellence on Engineering Secure Future Internet Software Services and Systems/NESSOS</infoId>
            <openaireId>corda_______::995fdbae88d310accff3d98ad2582819</openaireId>
            <code>256980</code>
            <name>Network of Excellence on Engineering Secure Future Internet Software Services and Systems</name>
            <acronym>NESSOS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/257438/EU/Open Computing Infrastructures for Elastic Services/CONTRAIL</infoId>
            <openaireId>corda_______::4041e5079b351390da41f327c90ed43b</openaireId>
            <code>257438</code>
            <name>Open Computing Infrastructures for Elastic Services</name>
            <acronym>CONTRAIL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:312</infoId>
            <name>Anastasi, Gaetano Francesco</name>
            <orcid>0000-0002-1508-1961</orcid>
            <affiliation code="dnet:pers:312" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:843</infoId>
            <name>Coppola, Massimo</name>
            <orcid>0000-0002-7937-4157</orcid>
            <affiliation code="dnet:pers:843" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:817</infoId>
            <name>Dazzi, Patrizio</name>
            <orcid>0000-0001-8504-1503</orcid>
            <affiliation code="dnet:pers:817" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>1. Banerjee, P., Friedrich, R., Bash, C., Goldsack, P., Huberman, B., Manley, J., et al. Everything as a service: Powering the new information economy. Computer 2011;44. doi:10.1109/MC.2011.67.</citation>
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        <citation>31. Konstanteli, K., Kyriazis, D., Varvarigou, T., Cucinotta, T., Anastasi, G.. Real-time guarantees in flexible advance reservations. In: Computer Software and Applications Conference, 2009. COMPSAC '09. 33rd Annual IEEE International; vol. 2. IEEE; 2009, p. 67-72. doi:10.1109/COMPSAC.2009.117.</citation>
        <citation>32. Anastasi, G.F., Carlini, E., Dazzi, P.. Smart Cloud federation simulations with CloudSim. In: Proceedings of the First ACM Workshop on Optimization Techniques for Resources Management in Clouds; ORMaCloud '13. New York, NY, USA: ACM. ISBN 978-1-4503-1982-9; 2013, p. 9-16. doi:10.1145/2465823.2465828.</citation>
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<record>
    <identifier>oai:it.cnr:prodotti:366242</identifier>
    <title>Static and dynamic big data partitioning on apache spark</title>
    <creators>
        <creator>Bertolucci M</creator>
        <creator orcid="0000-0003-3643-5404">Carlini E</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator>Lulli A</creator>
        <creator>Ricci L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Apache Spark</subject>
        <subject>BigData</subject>
        <subject>Data partitioning</subject>
        <subject>Graph algorithms</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.3233/978-1-61499-621-7-489</url>
        <url hostedBy="ebooks.iospress.nl" rights="Restricted">http://ebooks.iospress.nl/publication/42687</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326840</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326840&amp;bitstreamId=1885a5b6-9815-42c1-ba6b-2d7198f4be1a</url>
    </urls>
    <dois>
        <doi>10.3233/978-1-61499-621-7-489</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Many of today's large datasets are organized as a graph. Due to their size it is often infeasible to process these graphs using a single machine. Therefore, many software frameworks and tools have been proposed to process graph on top of distributed infrastructures. This software is often bundled with generic data decomposition strategies that are not optimised for specific algorithms. In this paper we study how a specific data partitioning strategy affects the performances of graph algorithms executing on Apache Spark. To this end, we implemented different graph algorithms and we compared their performances using a naive partitioning solution against more elaborate strategies, both static and dynamic.</abstract>
    <source>ADVANCES IN PARALLEL COMPUTING (PRINT), pp. 489-498. Edinburgh, Scotland, 1-4 September 2015</source>
    <projects/>
    <cnrPersons>
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            <infoId>dnet:pers:102</infoId>
            <name>Carlini, Emanuele</name>
            <orcid>0000-0003-3643-5404</orcid>
            <affiliation code="dnet:pers:102" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:817</infoId>
            <name>Dazzi, Patrizio</name>
            <orcid>0000-0001-8504-1503</orcid>
            <affiliation code="dnet:pers:817" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366244</identifier>
    <title>Exploiting green energy to reduce the operational costs of multi-center Web search engines</title>
    <creators>
        <creator>Blanco R</creator>
        <creator>Catena M</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Green energy</subject>
        <subject>Distributed retrieval</subject>
        <subject>Web search engines</subject>
        <subject>Search engine architectures and scalability</subject>
        <subject>Query forwarding</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?doid=2872427.2883021</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2872427.2883021</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2872427.2883021</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326842</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326842&amp;bitstreamId=f30e56d7-7fc4-45af-9e7e-dcc8b09aac4f</url>
    </urls>
    <dois>
        <doi>10.1145/2872427.2883021</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Carbon dioxide emissions resulting from fossil fuels (brown energy) combustion are the main cause of global warming due to the greenhouse effect. Large IT companies have recently increased their efforts in reducing the carbon dioxide footprint originated from their data center electricity consumption. On one hand, better infrastructure and modern hardware allow for a more efficient usage of electric resources. On the other hand, data-centers can be powered by renewable sources (green energy) that are both environmental friendly and economically convenient. In this paper, we tackle the problem of targeting the usage of green energy to minimize the expenditure of running multi-center Web search engines, i.e., systems composed by multiple, geographically remote, computing facilities. We propose a mathematical model to minimize the operational costs of multi-center Web search engines by exploiting renewable energies whenever available at different locations. Using this model, we design an algorithm which decides what fraction of the incoming query load arriving into one processing facility must be forwarded to be processed at different sites to use green energy sources. We experiment using real traffic from a large search engine and we compare our model against state of the art baselines for query forwarding. Our experimental results show that the proposed solution maintains an high query throughput, while reducing by up to ~25% the energy operational costs of multi-center search engines. Additionally, our algorithm can reduce the brown energy consumption by almost 6% when energy-proportional servers are employed.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:591</infoId>
            <name>Tonellotto, Nicola</name>
            <orcid>0000-0002-7427-1001</orcid>
            <affiliation code="dnet:pers:591" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366247</identifier>
    <title>Distributed graph processing: An approach based on overlay composition</title>
    <creators>
        <creator orcid="0000-0003-3643-5404">Carlini E</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator>Lulli A</creator>
        <creator>Ricci L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Protocols</subject>
        <subject>Distributed systems</subject>
        <subject>Graphs</subject>
        <subject>network</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">https://dl.acm.org/doi/10.1145/2851613.2851746</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2851613.2851746</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2851613.2851746</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326845</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326845&amp;bitstreamId=dc3ad7b4-9b8f-4658-98b0-9389757e21bb</url>
    </urls>
    <dois>
        <doi>10.1145/2851613.2851746</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this day and age, human being is generating an unprecedented amount of data coming from multiple and heterogeneous sources, ranging from scientific devices to business transactions. In many contexts such data is modelled as a graph, however, due to its size, it is often infeasible to process it on a single machine. As a consequence, the adoption of parallel and distributed computing frameworks is the natural approach to face this problem. This paper proposes an high-level approach for large graphs processing. Our approach takes inspiration from overlay networks, a widely exploited approach for information dissemination, aggregation and computing orchestration in highly distributed systems. We propose Telos, a programming framework supporting the definition of computations on graphs as a composition of overlays, each devoted to a specific aim. Telos is implemented on the top of Apache Spark. A set of experimental results are presented to give a preliminary evidence of the effectiveness of our approach.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:102</infoId>
            <name>Carlini, Emanuele</name>
            <orcid>0000-0003-3643-5404</orcid>
            <affiliation code="dnet:pers:102" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:817</infoId>
            <name>Dazzi, Patrizio</name>
            <orcid>0000-0001-8504-1503</orcid>
            <affiliation code="dnet:pers:817" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366249</identifier>
    <title>Post-learning optimization of tree ensembles for efficient ranking</title>
    <creators>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator>Silvestri F</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-6541-9409">Trani S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Effici</subject>
        <subject>Efficiency</subject>
        <subject>Pruning</subject>
        <subject>Learning to Rank</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">https://dl.acm.org/doi/10.1145/2911451.2914763</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2914763</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2911451.2914763</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326847</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326847&amp;bitstreamId=4b7836d7-a06d-4cbe-bcc8-73538beef163</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2914763</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Learning to Rank (LtR) is the machine learning method of choice for producing high quality document ranking functions from a ground-truth of training examples. In practice, efficiency and effectiveness are intertwined concepts and trading off effectiveness for meeting efficiency constraints typically existing in large-scale systems is one of the most urgent issues. In this paper we propose a new framework, named CLEaVER, for optimizing machine-learned ranking models based on ensembles of regression trees. The goal is to improve efficiency at document scoring time without affecting quality. Since the cost of an ensemble is linear in its size, CLEaVER first removes a subset of the trees in the ensemble, and then fine-tunes the weights of the remaining trees according to any given quality measure. Experiments conducted on two publicly available LtR datasets show that CLEaVER is able to prune up to 80% of the trees and provides an efficiency speed-up up to 2.6x without affecting the effectiveness of the model.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:203</infoId>
            <name>Trani, Salvatore</name>
            <orcid>0000-0001-6541-9409</orcid>
            <affiliation code="dnet:pers:203" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <acronym>04 Contributo in convegno</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366252</identifier>
    <title>Improving population estimation from mobile calls: A clustering approach</title>
    <creators>
        <creator>Lulli A</creator>
        <creator orcid="0000-0003-1208-8321">Gabrielli L</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator>Dell'Amico M</creator>
        <creator>Michiardi P</creator>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator>Ricci L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Ethernet networks</subject>
        <subject>Estimation</subject>
        <subject>Production</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iscc.2016.7543882</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/iscc.2016.7543882</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326850</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">https://ieeexplore.ieee.org/document/7543882</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326850&amp;bitstreamId=705ee236-2342-43c7-9675-927d049d532a</url>
    </urls>
    <dois>
        <doi>10.1109/iscc.2016.7543882</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Statistical authorities promote and safeguard the production and publication of official statistics that serve the public good. One of their duties is to monitor the presence of individuals region by region. Traditionally this activity has been conducted by means of censuses and surveys. Nowadays technologies open new possibilities such as a continuous sensing of the presences by leveraging the data associated to mobile devices, e.g., the behaviour of users on doing calls. In this paper first we propose a specifically conceived similarity function able to capture similarity between individuals call behaviours. Second we make use of a clustering algorithm able to handle arbitrary metric leading to a good internal and external consistency of clusters. The approach provides better population estimation with respect to state of the art comparing with real census data. The scalability and flexibility that characterises the proposed framework enables novel scenarios for the characterization of people by means of data derived from mobile users, ranging from the nearly-realtime estimation of presences to the definition of complex, uncommon user archetypes.</abstract>
    <source>PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS, vol. 2016-August, pp. 1097-1102. Messina, Italy, 27-30 June 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:817</infoId>
            <name>Dazzi, Patrizio</name>
            <orcid>0000-0001-8504-1503</orcid>
            <affiliation code="dnet:pers:817" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:186</infoId>
            <name>Gabrielli, Lorenzo</name>
            <orcid>0000-0003-1208-8321</orcid>
            <affiliation code="dnet:pers:186" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366254</identifier>
    <title>State of the art on functional fabrication</title>
    <creators>
        <creator>Medeiros E Sá A</creator>
        <creator>Rodriguezechavarria K</creator>
        <creator orcid="0000-0002-8271-2102">Pietroni N</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D printing</subject>
        <subject>Fabrication</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">http://diglib.eg.org/handle/10.2312/gdf20161073</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/gdf.20161073</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326852</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326852&amp;bitstreamId=6b1eac3e-55f2-454d-b1da-dfd9965ffba3</url>
    </urls>
    <dois>
        <doi>10.2312/gdf.20161073</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Digital fabrication technologies are becoming of importance to a number of knowledge areas and sectors, including medicine, entertainment, design, engineering, education, arts and architecture, due to their accessibility and versatility. These technolo- gies are changing the design of digital models, materials and manufacturing processes which enable to build previously un- achievable physical objects. Since many constraints imposed on the design of objects have changed significantly, a growing research community is working on graphical tools and techniques to enable the conception, automation, production and usage of innovative and complex designs for fabrication. In the present work, we survey the state of the art of computer graphics contributions to functional fabrication design tools and techniques. By functional fabrication we understand the design and manufacture of physical objects which functionalities exploit the capabilities of digital fabrication technologies. These func- tionalities include improving the mechanics of a workpiece, producing articulated models, capturing aerodynamics, planning deformable workpieces and controlling the object's appearance and acoustics. The resulting design tools are clearly taking advantage of relevant computer graphics techniques. Furthermore, they are extending these techniques to realise new physical forms as well as bringing innovation to feed into the design space.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:636</infoId>
            <name>Pietroni, Nico</name>
            <orcid>0000-0002-8271-2102</orcid>
            <affiliation code="dnet:pers:636" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/gdf.20161073" url="https://dx.doi.org/10.2312/gdf.20161073">State of The Art on Functional Fabrication</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366256</identifier>
    <title>The ComeWithMe system for searching and ranking activity-based carpooling rides</title>
    <creators>
        <creator>De Lira Vm</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S</creator>
        <creator>Times Vc</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Rides search</subject>
        <subject>Ranking</subject>
        <subject>Carpooling</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">https://dl.acm.org/doi/10.1145/2911451.2911459</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2911459</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2911451.2911459</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326854</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326854&amp;bitstreamId=6e95ba7e-9187-4756-b59a-1bc1a2e28ec7</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2911459</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>COMEWITHME is an activity oriented carpooling service that enlarges the candidate destinations of a ride request by considering alternative places where the desired activity can be performed. It is based on the observation that individuals often move towards a place to perform an activity while the activity is often not strictly associated with a single place, as one may go for shopping or eating to many different locations. Activity-oriented carpooling hugely increases the number of rides matching a query, thus introducing requirements on system responsiveness and ranking effectiveness that are not common to traditional carpooling services. The demoed system implements the Come-WithMe service in almost its entirety, and includes the back-end and a user-friendly mobile application for smart-phones aimed at achieving users' acceptance and usability.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
            <affiliation code="dnet:pers:828" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
            <affiliation code="dnet:pers:828" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366261</identifier>
    <title>Design and fabrication of grid-shells mockups</title>
    <creators>
        <creator>Tonelli D</creator>
        <creator orcid="0000-0002-8271-2102">Pietroni N</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D printing</subject>
        <subject>Fabrication</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/stag20161360</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/stag.20161360</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326859</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326859&amp;bitstreamId=d44acbf3-9ce4-4745-bd03-73fbbbf5a419</url>
    </urls>
    <dois>
        <doi>10.2312/stag.20161360</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Statics Aware Voronoi Grid-shells have been recently introduced in the Architectural Geometry field. These are innovative grid- shells endowed with a polygonal topology, whose geometry is structurally optimized by means of a novel algorithm [PTP+15]. Although being structurally effective as proved in [TPP+16] and arguably aesthetically charming, so far these grid-shells have struggled to attract architects' interest. We propose a method to fabricate a mockup of the grid shell by using modern additive 3D printing and laser cutting technologies. We also show how the realised mockup can be used to perform a preliminary validation of the simulated static performances of the grid-shell structure.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:636</infoId>
            <name>Pietroni, Nico</name>
            <orcid>0000-0002-8271-2102</orcid>
            <affiliation code="dnet:pers:636" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/stag.20161360" url="https://dx.doi.org/10.2312/stag.20161360">Design and Fabrication of Grid-shells Mockups</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366262</identifier>
    <title>SEL: A unified algorithm for entity linking and saliency detection</title>
    <creators>
        <creator orcid="0000-0001-6541-9409">Trani S</creator>
        <creator>Ceccarelli D</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Salient entities</subject>
        <subject>Machine learning</subject>
        <subject>Entity linking</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">https://dl.acm.org/doi/10.1145/2960811.2960819</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2960811.2960819</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2960811.2960819</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/326860</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/326860&amp;bitstreamId=a86ca710-3898-4622-9820-e92a85f7314e</url>
    </urls>
    <dois>
        <doi>10.1145/2960811.2960819</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The Entity Linking task consists in automatically identifying and linking the entities mentioned in a text to their URIs in a given Knowledge Base, e.g., Wikipedia. Entity Linking has a large impact in several text analysis and information retrieval related tasks. This task is very challenging due to natural language ambiguity. However, not all the entities mentioned in a document have the same relevance and utility in understanding the topics being discussed. Thus, the related problem of identifying the most relevant entities present in a document, also known as Salient Entities, is attracting increasing interest. In this paper we propose SEL, a novel supervised two-step algorithm comprehensively addressing both entity linking and saliency detection. The first step is based on a classifier aimed at identifying a set of candidate entities that are likely to be mentioned in the document, thus maximizing the precision of the method without hindering its recall. The second step is still based on machine learning, and aims at choosing from the previous set the entities that actually occur in the document. Indeed, we tested two different versions of the second step, one aimed at solving only the entity linking task, and the other that, besides detecting linked entities, also scores them according to their saliency. Experiments conducted on two different datasets show that the proposed algorithm outperforms state-of-the-art competitors, and is able to detect salient entities with high accuracy.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:203</infoId>
            <name>Trani, Salvatore</name>
            <orcid>0000-0001-6541-9409</orcid>
            <affiliation code="dnet:pers:203" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366263</identifier>
    <title>The BlueBRIDGE multidisciplinary &amp; multi­-sector approach: challenges and user benefits</title>
    <creators>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Hybrid-­data infrastructure</subject>
        <subject>Big Data</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/326861</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366263/2016_366263.pdf?id=people______%3A%3A2966aa8b147c0f7a191b911d9fb36c0e</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/326861/1/prod_366263-doc_120881.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Presentation of BlueBridge's capabilities to bridge different sectors and support different stakeholders.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366498</identifier>
    <title>Il portale di accesso ai cataloghi di Pisa (MOP)</title>
    <creators>
        <creator orcid="0000-0001-9518-0267">Biagioni S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Meta Opac Pisano; H.2.8 Database Applications</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329550</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329550&amp;bitstreamId=2ec88de0-08d9-40fb-b694-238945e57354</url>
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    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>We describe the role of the Meta Opac Pisano (MOP) in the context LIBRINPISA, the new interlibrary loan service organized by the network BIBLIOLANDIA. MOP allows queries from Bibliolandia Catalogs System.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:540</infoId>
            <name>Biagioni, Stefania</name>
            <orcid>0000-0001-9518-0267</orcid>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:366617</identifier>
    <title>Parthenos underlying infrastructure</title>
    <creators>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Data infrastructure for research</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331761</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366617/2016_366617.pdf?id=people______%3A%3A7fb0de75d183cab93909f1597e173514</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331761/1/prod_366617-doc_121069.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Presenting D4Science as a data infrastructure for Parthenos.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::4d46893df18bb77f5d817b8ce98ac56c</openaireId>
            <code>654119</code>
            <name>Pooling Activities, Resources and Tools for Heritage E-research Networking, Optimization and Synergies</name>
            <acronym>PARTHENOS</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366621</identifier>
    <title>Towards an e-infrastructure in agriculture?</title>
    <creators>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>e-Infrastructure services</subject>
        <subject>Big-data in agricolture</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331765</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366621/2016_366621.pdf?id=people______%3A%3Acbc98fc657680f54b4ab58e94c390d13</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331765/1/prod_366621-doc_121070.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>After discussing that marine and agriculture sectors have many similar needs in terms of data management services, this presentation illustrates D4Science/iMarine that has been built for being able to easy accomodate other needs (e.g. framework, standard protocols, integration of external algorithms, VREs).</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::5af7655a8e0e871cf16072b4b6ab9b41</openaireId>
            <code>283644</code>
            <name>Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources</name>
            <acronym>IMARINE</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366626</identifier>
    <title>Learn PAd: model-based social learning for public administrations</title>
    <creators>
        <creator orcid="0000-0001-8749-1356">Bertolino A</creator>
        <creator orcid="0000-0002-1076-0076">De Angelis G</creator>
        <creator>Polini A</creator>
        <creator>Silingas D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>E-learning</subject>
        <subject>Public administration</subject>
        <subject>Workplace Learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/332185</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366626/2016_366626.pdf?id=people______%3A%3A9e8b52865214aaaae1657752c3e8bc3c</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/332185/1/prod_366626-doc_121075.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Modern public administrations (PAs) are undergoing a profound transformation of their role, from rigid controllers to proactive service providers. However, PA services has to cope with quickly changing context such as : changes in law and regulations, societal globalization, fast technology evolution. As a result PA servants delivering such services to citizens are challenged to learn, to understand and to put in action latest procedures and rules within tight time constraints. The EC FP7 Project Learn PAd enables a model-driven learning approach, through an open platform fostering cooperation and knowledge-sharing and exploiting process simulation for an effective training and assessment. Learn PAd considers learning and working strongly intertwined (learning-while-doing). The platform supports both an informative learning approach based on enriched business process models, and a procedural learning approach based on simulation and monitoring (learning-by-doing). The Learn PAd platform organizes knowledge, and bases the learning activities, according to several model kinds permitting to describe the activities to perform by the PA servants and their working context. Also, the platform relies on formal verification and natural language processing techniques to ensure accuracy of content and documentation. Finally it exploits specialized ontologies and KPIs purposely defined to keep learners engaged.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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        <cnrPerson>
            <infoId>dnet:pers:1271</infoId>
            <name>Bertolino, Antonia</name>
            <orcid>0000-0001-8749-1356</orcid>
            <affiliation code="dnet:pers:1271" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:809</infoId>
            <name>De Angelis, Guglielmo</name>
            <orcid>0000-0002-1076-0076</orcid>
            <affiliation code="dnet:pers:809" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>ou_ou162</code>
            <name>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</name>
            <acronym>Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366629</identifier>
    <title>Leveraging ICT developments for societal challenges: the BlueBRIDGE way towards Blue Growth</title>
    <creators>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Hybrid data infrastructure</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/332188</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366629/2016_366629.pdf?id=people______%3A%3Abe6a3bd651f87f90fbe902f31a70fed4</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/332188/1/prod_366629-doc_121077.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Presenting D4Science as an hybrid data infrastructure offering integrated technologies to provide elastic access and usage of data and data management.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366631</identifier>
    <title>Improve ranking efficiency by optimizing tree ensembles</title>
    <creators>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator orcid="0000-0002-4155-9797">Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator>Silvestri F</creator>
        <creator orcid="0000-0001-6541-9409">Trani S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Learning to Rank</subject>
        <subject>Efficiency</subject>
        <subject>Pruning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Restricted">http://ceur-ws.org/Vol-1653/</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/332190</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/332190&amp;bitstreamId=da84ac25-c03e-4cc3-abca-cbd9f935c734</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Learning to Rank (LtR) is the machine learning method of choice for producing highly effective ranking functions. However, efficiency and effectiveness are two competing forces and trading off effiectiveness for meeting efficiency constraints typical of production systems is one of the most urgent issues. This extended abstract shortly summarizes the work in [4] proposing CLEaVER, a new framework for optimizing LtR models based on ensembles of regression trees. We summarize the results of a comprehensive evaluation showing that CLEaVER is able to prune up to 80% of the trees and provides an efficiency speed-up up to 2:6x without affecting the effectiveness of the model.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS. Venezia, Italia, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:573</infoId>
            <name>Orlando, Salvatore</name>
            <orcid>0000-0002-4155-9797</orcid>
            <affiliation code="dnet:pers:573" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:203</infoId>
            <name>Trani, Salvatore</name>
            <orcid>0000-0001-6541-9409</orcid>
            <affiliation code="dnet:pers:203" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366632</identifier>
    <title>Searching and ranking activity-based carpooling rides</title>
    <creators>
        <creator>De Lira Vm</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator>Times Vc</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Carpooling</subject>
        <subject>Trajectories</subject>
        <subject>Activities</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Restricted">http://ceur-ws.org/Vol-1653/</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/332191</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/332191&amp;bitstreamId=b8968754-92d2-49a7-9971-f5476ef22963</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This extended abstract shortly summarizes the work in [2] a prototype of ComeWithMe, an innovative carpooling service oriented to the passenger's intended activity. This approach boosts the number of available rides, differently from the current carpooling system based on fixed destination location. The ComeWithMe ride search engine was modeled to support scalability constraints through an inverted index. Furthermore, a ranking model orders the possible retrieved riders according to the convenience of the passenger.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS, vol. 1653. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
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            <acronym>04.02 Abstract in Atti di convegno</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:366634</identifier>
    <title>BlueBRIDGE - D9.1 BlueBRIDGE VRE Commons Facilities</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0009-0006-2359-4202">Cirillo R</creator>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator>Koltsida P</creator>
        <creator>Marioli V</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
        <creator orcid="0000-0003-1013-6203">Sinibaldi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube system</subject>
        <subject>Enabling services</subject>
        <subject>VREs</subject>
        <subject>Data infrastructures</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366634/2016_366634.pdf?id=people______%3A%3A271b64ad7f8c98b200b05fe4dcd65db5</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/332193</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/332193&amp;bitstreamId=1d98d2f7-288e-44b5-a0ef-7e9635cdda83</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Deliverable D9.1 - "BlueBRIDGE VRE Commons Facilities" reports the release of the BlueBRIDGE facilities for Data Access, Data Discovery, Data Storage, Data Analytics and Data Publishing. Those facilities are implemented through web services, libraries, and mediators over technologies that are offered as services operated and made accessible through VREs This deliverable is of type "Other" and consists of a set of wiki pages hosted by the BlueBRIDGE project wiki [1] plus a set of documentation pages for single facilities hosted by the gCube wiki [2].</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:228</infoId>
            <name>Cirillo, Roberto</name>
            <orcid>0009-0006-2359-4202</orcid>
            <affiliation code="dnet:pers:228" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:276</infoId>
            <name>Marioli, Valentina</name>
            <affiliation code="dnet:pers:276" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:123</infoId>
            <name>Sinibaldi, Fabio</name>
            <orcid>0000-0003-1013-6203</orcid>
            <affiliation code="dnet:pers:123" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366637</identifier>
    <title>BlueBRIDGE - BlueBRIDGE VREs operation activity: interim report</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0009-0006-2359-4202">Cirillo R</creator>
        <creator orcid="0000-0002-0127-2791">Dell'Amico A</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
        <creator orcid="0000-0001-6056-8448">Perciante C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>Virtual Laboratory</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/332196</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366637/2016_366637.pdf?id=people______%3A%3A8ebd7324e5a17f95fc6ada29845a1c6b</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/332196/1/prod_366637-doc_121083.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Virtual Research Environments and Virtual Laboratories are among the key products the BlueBRIDGE project is called to develop and to deliver to serve its target communities and application scenarios. The deployment and operation of a Virtual Research Environment is a task that involves the reuse of existing technologies as well as the development of new technologies aiming at offering new facilities. The development of the technology, both the generic as well as that which is oriented to serve the specific needs of a given community/target scenario, is captured by other deliverables. This report describes the activities performed to provide the BlueBRIDGE community with the set of Virtual Research Environments (VREs) and Virtual Laboratories (VLabs) hosted by the BlueBRIDGE portal from September 2015 to November 2016. A total of 38 VREs VLabs have been deployed and operated, overall serving more than 1500 users across 22 countries. This requested to deal with approximately 600 tickets (32 tickets for VRE creationupdate, 244 requests for support, 315 requests for incidents and bugs).</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:228</infoId>
            <name>Cirillo, Roberto</name>
            <orcid>0009-0006-2359-4202</orcid>
            <affiliation code="dnet:pers:228" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1047</infoId>
            <name>Dell'Amico, Andrea</name>
            <orcid>0000-0002-0127-2791</orcid>
            <affiliation code="dnet:pers:1047" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:477</infoId>
            <name>Perciante, Costantino</name>
            <orcid>0000-0001-6056-8448</orcid>
            <affiliation code="dnet:pers:477" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366640</identifier>
    <title>SoBigData - SoBigData e-Infrastructure software WP10 release 1</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator orcid="0000-0001-7581-5325">Lelii L</creator>
        <creator orcid="0000-0002-6528-664X">Mangiacrapa F</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>e-Infrastructure</subject>
        <subject>Virtual Research Environment</subject>
        <subject>Resource Catalogue</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/332199</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366640/2016_366640.pdf?id=people______%3A%3Ae1fce54fde1f7c8db874b11a4abb942d</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/332199/1/prod_366640-doc_121086.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This deliverable provides the list and pointers to the software packages produced by the project to implement the functionalities of the SoBigData infrastructure, accessible from http://sobigdata.d4science.org. Such functionalities have been described in Deliverable 10.2.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:819</infoId>
            <name>Lelii, Lucio</name>
            <orcid>0000-0001-7581-5325</orcid>
            <affiliation code="dnet:pers:819" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:250</infoId>
            <name>Mangiacrapa, Francesco</name>
            <orcid>0000-0002-6528-664X</orcid>
            <affiliation code="dnet:pers:250" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
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            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366642</identifier>
    <title>SoBigData - VRE specification and software 1</title>
    <creators>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator orcid="0000-0001-7581-5325">Lelii L</creator>
        <creator orcid="0000-0002-6528-664X">Mangiacrapa F</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environment</subject>
        <subject>Resource Catalogue</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/332201</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366642/2016_366642.pdf?id=people______%3A%3A189b163871079815c588108505afe517</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/332201/1/prod_366642-doc_121087.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This deliverable complements "D10.5 SoBigData e-Infrastructure software release 1" by describing how such a software has been deployed to serve the current needs of the SoBigData community. In particular, it describes how such a software has been exploited to make available the components envisaged in "D10.2 SoBigData e-Infrastructure release plan 1", i.e. the SoBigData portal (and the underlying Virtual Organisation), the SoBigData Catalogue, and the SoBigData Virtual Research Environments.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:819</infoId>
            <name>Lelii, Lucio</name>
            <orcid>0000-0001-7581-5325</orcid>
            <affiliation code="dnet:pers:819" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:250</infoId>
            <name>Mangiacrapa, Francesco</name>
            <orcid>0000-0002-6528-664X</orcid>
            <affiliation code="dnet:pers:250" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
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            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366655</identifier>
    <title>ENVRI PLUS - Deliverable 5.1: A consistent characterisation of existing and planned RIs</title>
    <creators>
        <creator>Atkinson M</creator>
        <creator>Hardisty A</creator>
        <creator>Filgueira R</creator>
        <creator>Alexandru C</creator>
        <creator>Vermeulen A</creator>
        <creator>Jeffery K</creator>
        <creator>Loubrieu T</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator>Magagna B</creator>
        <creator>Martin P</creator>
        <creator>Chen Y</creator>
        <creator>Hellström M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Environmental research infrastructures</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/332214</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366655/2016_366655.pdf?id=people______%3A%3A25e55d98da865cfeb18a2f9e174ba128</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/332214/1/prod_366655-doc_121097.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This report refreshes and revises the information about the Environmental Research Infrastructures (RIs), primarily those engaged in ENVRIplus, and available technologies in order to clarify requirements, identify issues and highlight opportunities. The main subjects in this report were selected by the RIs themselves. Nevertheless, the team involved in this product noticed additional common requirements of priority and it was decided to also take these up in supporting the RI developments. All findings and recommendations will be used within the ENVRIplus project to inform the subsequent work. Research developing the required information has helped develop a vital channel of communication between computing specialists with application specialists and strategists.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::0da81b3ad78047f577dd405e8a2d7f07</openaireId>
            <code>654182</code>
            <name>Environmental Research Infrastructures Providing Shared Solutions for Science and Society</name>
            <acronym>ENVRI PLUS</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366657</identifier>
    <title>BlueBRIDGE - Blue skills activity: interim report</title>
    <creators>
        <creator>Barde J</creator>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator>Davies A</creator>
        <creator>Eleni P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Blue Skills: BlueBridge Courses</subject>
        <subject>Training: Skills Development</subject>
        <subject>Virtual Research Environments</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333883</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366657/2016_366657.pdf?id=people______%3A%3A0a54f6c7a1b2377f8719381ed90632c4</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333883/1/prod_366657-doc_121098.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The goal of Blue Skills is to develop and deploy Virtual Research Environments (VREs) essential for boosting education and knowledge bridging between research and innovation in the area of protection and management of marine resources. In order to achieve this goal, plans have been laid for real courses, both with physical attendance and online courses, which have been, and continue to be implemented throughout the project span. The course programme is expected to evolve during the project lifetime, e.g. new courses to be supported can be constantly identified. The initial list has been produced in October 2015 (MS4 Blue Skills VRE Plan) and whenever a course to be supported is identified it is recorded through dedicated tickets. The up to date list of target courses is always available by an automatic report available at https://support.d4science.org/issues/684. Depending on the characteristics of each course either a new Virtual Laboratory can be created or one or more existing ones can be re-used to support the activity of course participants. In the reporting period, 15 courses took place with the support of 7 dedicated VLabs. These courses were attended by more than 335 participants in total.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366659</identifier>
    <title>BlueBRIDGE - BlueBRIDGE data management plan: preliminary version</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
        <creator orcid="0000-0001-5603-702X">Zoppi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Datasets</subject>
        <subject>Management</subject>
        <subject>Data Storage</subject>
        <subject>Data repository</subject>
        <subject>Data dissemination</subject>
        <subject>Data preservation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333885</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366659/2016_366659.pdf?id=people______%3A%3Acc4f04980dee237f4cd8692ec7d4d071</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333885/1/prod_366659-doc_121100.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This deliverable documents the BlueBRIDGE data management strategy. This strategy will be developed by producing three successive versions of this deliverable: a preliminary version at M6, an intermediate version at M18, a final version at M27. This preliminary version contains an initial description of the data collected, processed or generated by the project, the standards and metadata used for them, and an initial plan on how sharing, archiving and preservation of this data will be guaranteed. Roughly 40 datasets have been identified and described. Some of these datasets are actually abstract / meta datasets, i.e. they represent a class of dataset that will manifest in a number of concrete datasets sharing certain needs and characteristics.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:792</infoId>
            <name>Zoppi, Franco</name>
            <orcid>0000-0001-5603-702X</orcid>
            <affiliation code="dnet:pers:792" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:792" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366661</identifier>
    <title>BlueBRIDGE - BlueBRIDGE resources federation facilities</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0001-7232-191X">Coro G</creator>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator>Galante N A</creator>
        <creator>Giammatteo G</creator>
        <creator>Kakaletris G</creator>
        <creator orcid="0000-0001-7581-5325">Lelii L</creator>
        <creator>Marioli V</creator>
        <creator orcid="0000-0003-1013-6203">Sinibaldi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube system</subject>
        <subject>Enabling services</subject>
        <subject>Computing infrastructures</subject>
        <subject>Cloud</subject>
        <subject>Data infrastructures</subject>
        <subject>Accounting</subject>
        <subject>Monitoring</subject>
        <subject>External infrastructures</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333887</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366661/2016_366661.pdf?id=people______%3A%3A0a9a7f0d7763fff6246bad5767269214</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333887/1/prod_366661-doc_121101.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Deliverable D10.1 - "BlueBRIDGE Resources Federation Facilities" reports the release of the BlueBRIDGE facilities for integration of resources from external infrastructures and management of integrated resources. The deliverable covers the first nine months of the BlueBRIDGE project. An update to this deliverable is expected at project month M28 with Deliverable D10.2.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:191</infoId>
            <name>Coro, Gianpaolo</name>
            <orcid>0000-0001-7232-191X</orcid>
            <affiliation code="dnet:pers:191" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:819</infoId>
            <name>Lelii, Lucio</name>
            <orcid>0000-0001-7581-5325</orcid>
            <affiliation code="dnet:pers:819" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:276</infoId>
            <name>Marioli, Valentina</name>
            <affiliation code="dnet:pers:276" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:123</infoId>
            <name>Sinibaldi, Fabio</name>
            <orcid>0000-0003-1013-6203</orcid>
            <affiliation code="dnet:pers:123" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
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            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366668</identifier>
    <title>SoBigData - Data processing workflow specification language</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0003-3099-3835">Giannotti F</creator>
        <creator orcid="0000-0002-8735-5394">Grossi V</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Workflow Language</subject>
        <subject>Processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333894</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366668/2016_366668.pdf?id=people______%3A%3A360fae0111817fcc0b017ea8d27d6983</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333894/1/prod_366668-doc_121103.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This document contains a general overview of the workflow language definition status.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:685</infoId>
            <name>Giannotti, Fosca</name>
            <orcid>0000-0003-3099-3835</orcid>
            <affiliation code="dnet:pers:685" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:316</infoId>
            <name>Grossi, Valerio</name>
            <orcid>0000-0002-8735-5394</orcid>
            <affiliation code="dnet:pers:316" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
            <orcid>0000-0001-5316-6475</orcid>
            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
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    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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        <inCollection>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366671</identifier>
    <title>SoBigData - Best practices and guidelines towards interoperability</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Interoperability</subject>
        <subject>Best practice</subject>
        <subject>Standard</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333897</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366671/2016_366671.pdf?id=people______%3A%3Affb97f099490490b004c080e4f87ce92</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333897/1/prod_366671-doc_121104.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Interoperability is one of the key problems to be resolved when building a system as a "collection" of independently developed constituents (systems on their own) that should cooperate and rely on each other to contribute to realise the system tasks. The SoBigData e-Infrastructure is a "system" strongly characterised by such an aggregative nature and thus its development is largely exposed to the interoperability issue. This deliverable describes a growing set of approaches, practices and guidelines aiming at overcoming interoperability issues in the SoBigData e-Infrastructure. It has an "ongoing" nature, i.e. the actual and always up to date set of practices and guidelines characterising the interoperability approaches in SoBigData e-Infrastructure are captured by a set of dedicated Wiki pages.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366673</identifier>
    <title>SoBigData - SoBigData e- Infrastructure release plan 1</title>
    <creators>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Release planning</subject>
        <subject>D4Science</subject>
        <subject>SoBigData e-Infrastructure</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333899</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366673/2016_366673.pdf?id=people______%3A%3A8283f89ca54fb621805aef4e041b7ae3</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333899/1/prod_366673-doc_121105.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This deliverable describes the development plan characterizing the release and development of the SoBigData e-Infrastructure. This is the first of three versions of the plan, each describing the actions associated with a specific version of the infrastructure to be made available at M12 (August 2016), M24 (August 2017) and M36 (August 2018). In particular, the deliverable focuses on the plan leading to the first release of the SoBigData e-Infrastructure at M12.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366674</identifier>
    <title>EGI-Engage - Deployment of a gCube release with federated cloud support</title>
    <creators>
        <creator>Fabriani P</creator>
        <creator>Viljoen M</creator>
        <creator>Giammatteo G</creator>
        <creator orcid="0000-0003-1013-6203">Sinibaldi F</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
        <creator>Galante N A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>D4Science platform</subject>
        <subject>gCube framework.</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333900</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366674/2016_366674.pdf?id=people______%3A%3Ad4b9e3013495d41defbea5dd0d340222</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333900/1/prod_366674-doc_121106.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This document reports on the integration of Federated Cloud resources in the D4Science platform, built on top of the gCube framework. The document introduces the D4Science platform, how it is currently exploited by scientific communities and motivates the need for the integration. The most relevant usage scenarios are analysed and corresponding requirements are identified. The extension to the gCube framework is defined in terms of overall architecture and description of single components. A number of enhancements have been selected for future evaluation and realization.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e2a38892773e6541ec7c07aa605ad581</openaireId>
            <code>654142</code>
            <name>Engaging the EGI Community towards an Open Science Commons</name>
            <acronym>EGI-Engage</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:123</infoId>
            <name>Sinibaldi, Fabio</name>
            <orcid>0000-0003-1013-6203</orcid>
            <affiliation code="dnet:pers:123" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366705</identifier>
    <title>EGI-Engage - D2.7 market report on the fishery and marine sciences data analysis sector</title>
    <creators>
        <creator>Nardi N</creator>
        <creator>Laurent Y</creator>
        <creator>Ellenbroek A</creator>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Fishery and Marine Sciences Data Analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333930</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366705/2016_366705.pdf?id=people______%3A%3Aca67c08b93cad3a2b632238179d01258</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333930/1/prod_366705-doc_121129.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This document introduces the Fishery and Marine Sciences Data Analysis Sector to EGI through a top-down approach, which presents a market analysis, a domain and stakeholder analysis, and data flow analysis. In addition, a bottom-up approach was adopted and presents a survey analysis (questionnaire, interview, example initiative serving the community). The work is supported by EGI-Engage TNA2.3, and works towards its objectives by developing the EGI business engagement programme and service exploitation programme by offering services for exploitation of fishery and marine data to innovators. The expected outcome is new collaborations with SME's and other stakeholder types. This will be achieved by providing a clear introduction to the sector, its domains, stakeholders, and data value chains. Furthermore, this document allows EGI to learn the data needs and challenges of the different stakeholder types, giving insights about the community requirements, preparing EGI for any future engagement/collaboration (if desired) which could lead to the creation of future business collaborations.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e2a38892773e6541ec7c07aa605ad581</openaireId>
            <code>654142</code>
            <name>Engaging the EGI Community towards an Open Science Commons</name>
            <acronym>EGI-Engage</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
            <affiliation code="dnet:pers:1474" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:1474" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366708</identifier>
    <title>PARTHENOS - PARTHENOS Cloud Infrastructure</title>
    <creators>
        <creator orcid="0000-0001-6611-3209">Pagano P</creator>
        <creator orcid="0000-0002-7279-2727">Candela L</creator>
        <creator orcid="0000-0002-3761-1492">Assante M</creator>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator orcid="0000-0002-1112-1292">Bardi A</creator>
        <creator orcid="0000-0003-1013-6203">Sinibaldi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>e-infrastructure architecture</subject>
        <subject>Virtual machines cloud</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/333933</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366708/2016_366708.pdf?id=people______%3A%3A89c20f78e226b60486dd5451373d65cc</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/333933/1/prod_366708-doc_121131.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This report describes the PARTHENOS e-infrastructure architecture: the hardware and the services. Hardware is organized as a dynamic cloud of virtual machines, supporting computation and storage, while the services are organized into e-infrastructure middleware, storage, and end user services.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::4d46893df18bb77f5d817b8ce98ac56c</openaireId>
            <code>654119</code>
            <name>Pooling Activities, Resources and Tools for Heritage E-research Networking, Optimization and Synergies</name>
            <acronym>PARTHENOS</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:811</infoId>
            <name>Assante, Massimiliano</name>
            <orcid>0000-0002-3761-1492</orcid>
            <affiliation code="dnet:pers:811" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:783</infoId>
            <name>Bardi, Alessia</name>
            <orcid>0000-0002-1112-1292</orcid>
            <affiliation code="dnet:pers:783" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:82</infoId>
            <name>Candela, Leonardo</name>
            <orcid>0000-0002-7279-2727</orcid>
            <affiliation code="dnet:pers:82" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <infoId>dnet:pers:1474</infoId>
            <name>Pagano, Pasquale</name>
            <orcid>0000-0001-6611-3209</orcid>
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            <infoId>dnet:pers:123</infoId>
            <name>Sinibaldi, Fabio</name>
            <orcid>0000-0003-1013-6203</orcid>
            <affiliation code="dnet:pers:123" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <acronym>08 Report e Working Paper</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>08.01 Rapporto di progetto</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366779</identifier>
    <title>Visual Recognition of Ancient Inscriptions Using Convolutional Neural Network and Fisher Vector</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0001-7182-7038">Vadicamo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>epigraphy</subject>
        <subject>Latin and Greek inscriptions</subject>
        <subject>Computer Science Applications</subject>
        <subject>convolutional neural network</subject>
        <subject>Fisher vector</subject>
        <subject>Conservation</subject>
        <subject>Information Systems</subject>
        <subject>Computer Graphics and Computer-Aided Design</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2964911</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2964911</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325842</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366779/2016_366779.postprint.pdf?id=people______%3A%3A873aa503387b39b6bc5808822bb047ad</url>
        <url hostedBy="Journal on Computing and Cultural Heritage" rights="Closed Access">https://doi.org/10.1145/2964911</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325842/2/prod_366779-doc_168198.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/325842&amp;bitstreamId=4c8c8730-ea0d-4d38-aba1-4efc62dc3395</url>
    </urls>
    <dois>
        <doi>10.1145/2964911</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>By bringing together the most prominent European institutions and archives in the field of Classical Latin and Greek epigraphy, the EAGLE project has collected the vast majority of the surviving Greco-Latin inscriptions into a single readily-searchable database. Text-based search engines are typically used to retrieve information about ancient inscriptions (or about other artifacts). These systems require that the users formulate a text query that contains information such as the place where the object was found or where it is currently located. Conversely, visual search systems can be used to provide information to users (like tourists and scholars) in a most intuitive and immediate way, just using an image as query. In this article, we provide a comparison of several approaches for visual recognizing ancient inscriptions. Our experiments, conducted on 17, 155 photos related to 14, 560 inscriptions, show that BoW and VLAD are outperformed by both Fisher Vector (FV) and Convolutional Neural Network (CNN) features. More interestingly, combining FV and CNN features into a single image representation allows achieving very high effectiveness by correctly recognizing the query inscription in more than 90% of the cases. Our results suggest that combinations of FV and CNN can be also exploited to effectively perform visual retrieval of other types of objects related to cultural heritage such as landmarks and monuments.</abstract>
    <source>ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 9 (issue 4), pp. 21-24</source>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>325122</code>
            <name>Europeana network of Ancient Greek and Latin Epigraphy</name>
            <acronym>Europeana network of Ancient Greek and Latin Epigraphy</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:383</infoId>
            <name>Vadicamo, Lucia</name>
            <orcid>0000-0001-7182-7038</orcid>
            <affiliation code="dnet:pers:383" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366784</identifier>
    <title>Adopting a Machine Learning Approach in the design of Smart Transportation Systems</title>
    <creators>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator>Bacciu D</creator>
        <creator>Carta A</creator>
        <creator>Semini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Machine learning</subject>
        <subject>Colective Systems</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ercim-news.ercim.eu" rights="Open Access">https://ercim-news.ercim.eu/en105/special/adopting-a-machine-learning-approach-in-the-design-of-smart-transportation-systems</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325847</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325847/1/prod_366784-doc_121173.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>We have applied a machine learning approach to both implement and assess new services for the users of a bike-sharing system. The aim is to predict the destination station of a bike in use, given information on its pick up details.</abstract>
    <source>ERCIM NEWS, p. 24</source>
    <projects>
        <project>
            <openaireId>corda_______::8e639c99c8c388406ea2af5aafd16031</openaireId>
            <code>600708</code>
            <name>A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours</name>
            <acronym>QUANTICOL</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366785</identifier>
    <title>Unveiling mobility complexity through complex network analysis</title>
    <creators>
        <creator orcid="0000-0002-2827-7613">Guidotti R</creator>
        <creator>Monreale A</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S</creator>
        <creator>Pedreschi D</creator>
        <creator orcid="0000-0003-3099-3835">Giannotti F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobility Complexity</subject>
        <subject>Mobility Data Analytics</subject>
        <subject>Computer Science Applications</subject>
        <subject>Media Technology</subject>
        <subject>Information Systems</subject>
        <subject>Community Discovery</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>Communication</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Social Network Analysis and Mining" rights="Open Access">https://doi.org/10.1007/s13278-016-0369-2</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s13278-016-0369-2</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/325848</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007%2Fs13278-016-0369-2</url>
        <url hostedBy="Social Network Analysis and Mining" rights="Open Access">https://link.springer.com/content/pdf/10.1007%2Fs13278-016-0369-2.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366785/2016_366785.published.pdf?id=people______%3A%3A1a459bb2eed1751555e72b2cc987f3d9</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/325848/1/prod_366785-doc_121174.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/s13278-016-0369-2</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The availability of massive digital traces of individuals is offering a series of novel insights on the understanding of patterns characterizing human mobility. Many studies try to semantically enrich mobility data with annotations about human activities. However, these approaches either focus on places with high frequencies (e.g., home and work), or relay on background knowledge (e.g., public available points of interest). In this paper, we depart from the concept of frequency and we focus on a high level representation of mobility using network analytics. The visits of each driver to each systematic destination are modeled as links in a bipartite network where a set of nodes represents drivers and the other set represents places. We extract such network from two real datasets of human mobility based, respectively, on GPS and GSM data. We introduce the concept of mobility complexity of drivers and places as a ranking analysis over the nodes of these networks. In addition, by means of community discovery analysis, we differentiate subgroups of drivers and places according both to their homogeneity and to their mobility complexity.</abstract>
    <source>SOCIAL NETWORK ANALYSIS AND MINING, vol. 6 (issue 1)</source>
    <projects>
        <project>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/609042/EU/Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems/PETRA</infoId>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:685</infoId>
            <name>Giannotti, Fosca</name>
            <orcid>0000-0003-3099-3835</orcid>
            <affiliation code="dnet:pers:685" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:171</infoId>
            <name>Guidotti, Riccardo</name>
            <orcid>0000-0002-2827-7613</orcid>
            <affiliation code="dnet:pers:171" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
            <affiliation code="dnet:pers:828" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
            <affiliation code="dnet:pers:828" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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        <citation>Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):10,008</citation>
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        <citation>Caldarelli G, Cristelli M, Gabrielli A, Pietronero L, Scala A, Tacchella A (2011) Ranking and clustering countries and their products: a network analysis. arXiv preprint arXiv:1108.2590</citation>
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        <citation>Coscia M, Rossetti G, Giannotti F, Pedreschi D (2012) Demon: a local-first discovery method for overlapping communities. In: ACM 18th SIGKDD international conference on Knowledge discovery and data mining, pp 615-623</citation>
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        <citation>Guidotti R, Monreale A, Rinzivillo S, Pedreschi D, Giannotti F (2014) Retrieving points of interest from human systematic movements. In: Canal C, Idani A (eds) Software engineering and formal methods. Lecture Notes in Computer Science, vol 8938. Springer, pp 294-308</citation>
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        <citation>Pennacchioli D, Coscia M, Rinzivillo S, Pedreschi D, Giannotti F (2013) Explaining the product range effect in purchase data. In: IEEE international conference on big data, pp 648-656</citation>
        <citation>Rinzivillo S, Gabrielli L, Nanni M, Pappalardo L, Pedreschi D, Giannotti F (2014) The purpose of motion: learning activities from individual mobility networks. In: IEEE international conference on data science and advanced analytics (DSAA), pp 312-318</citation>
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    </citations>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366877</identifier>
    <title>A supervised approach for intra-/inter-community interaction prediction in dynamic social networks</title>
    <creators>
        <creator orcid="0000-0003-3373-1240">Rossetti G</creator>
        <creator>Guidotti R</creator>
        <creator>Miliou I</creator>
        <creator>Pedreschi D</creator>
        <creator orcid="0000-0003-3099-3835">Giannotti F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Link prediction</subject>
        <subject>Link Prediction</subject>
        <subject>Computer Science Applications</subject>
        <subject>H.2.8 DATABASE MANAGEMENT. Database Applications. Data Mining</subject>
        <subject>Community Detection</subject>
        <subject>Media Technology</subject>
        <subject>Information Systems</subject>
        <subject>Community discovery detection</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>Communication</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Social Network Analysis and Mining" rights="Open Access">https://doi.org/10.1007/s13278-016-0397-y</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s13278-016-0397-y</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329611</url>
        <url hostedBy="link.springer.com" rights="Open Access">http://link.springer.com/article/10.1007/s13278-016-0397-y</url>
        <url hostedBy="Social Network Analysis and Mining" rights="Open Access">https://link.springer.com/content/pdf/10.1007%2Fs13278-016-0397-y.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366877/2016_366877.published.pdf?id=people______%3A%3Aefe254218d50b6bf38bffa4bb1f62b75</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329611/1/prod_366877-doc_121213.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/s13278-016-0397-y</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Due to the growing availability of Internet services in the last decade, the interactions between people became more and more easy to establish. For example, we can have an intercontinental job interview, or we can send real-time multimedia content to any friend of us just owning a smartphone. All this kind of human activities generates digital footprints, that describe a complex, rapidly evolving, network structures. In such dynamic scenario, one of the most challenging tasks involves the prediction of future interactions between couples of actors (i.e., users in online social networks, researchers in collaboration networks). In this paper, we approach such problem by leveraging networks dynamics: to this extent, we propose a supervised learning approach which exploits features computed by time-aware forecasts of topological measures calculated between node pairs. Moreover, since real social networks are generally composed by weakly connected modules, we instantiate the interaction prediction problem in two disjoint applicative scenarios: intracommunity and inter-community link prediction. Experimental results on real time-stamped networks show how our approach is able to reach high accuracy. Furthermore, we analyze the performances of our methodology when varying the typologies of features, community discovery algorithms and forecast methods.</abstract>
    <source>SOCIAL NETWORK ANALYSIS AND MINING, vol. 6 (issue 1)</source>
    <projects>
        <project>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:685</infoId>
            <name>Giannotti, Fosca</name>
            <orcid>0000-0003-3099-3835</orcid>
            <affiliation code="dnet:pers:685" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:187</infoId>
            <name>Rossetti, Giulio</name>
            <orcid>0000-0003-3373-1240</orcid>
            <affiliation code="dnet:pers:187" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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    </citations>
    <collections>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366878</identifier>
    <title>Automata for specifying and orchestrating service contracts</title>
    <creators>
        <creator orcid="0000-0002-7196-6609">Basile D</creator>
        <creator>Degano P</creator>
        <creator>Ferrari G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Services</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Model</subject>
        <subject>General Computer Science</subject>
        <subject>Verification</subject>
        <subject>Contracts</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Logical Methods in Computer Science" rights="Open Access">https://doi.org/10.2168/lmcs-12(4:6)2016</url>
        <url hostedBy="Logical Methods in Computer Science" rights="Open Access">https://lmcs.episciences.org/2618/pdf</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2168/lmcs-12(4:6)2016</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329612</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329612&amp;bitstreamId=a6811813-88b8-4a73-868a-e9bc39aa0db7</url>
        <url hostedBy="lmcs.episciences.org" rights="Restricted">https://lmcs.episciences.org/2618</url>
    </urls>
    <dois>
        <doi>10.2168/lmcs-12(4:6)2016</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>An approach to the formal description of service contracts is presented in terms of automata. We focus on the basic property of guaranteeing that in the multi-party composition of principals each of them gets his requests satisfied, so that the overall composition reaches its goal. Depending on whether requests are satisfied synchronously or asynchronously, we construct an orchestrator that at static time either yields composed services enjoying the required properties or detects the principals responsible for possible violations. To do that in the asynchronous case we resort to Linear Programming techniques. We also relate our automata with two logically based methods for specifying contracts.</abstract>
    <source>LOGICAL METHODS IN COMPUTER SCIENCE, vol. 12 (issue 4)</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:453</infoId>
            <name>Basile, Davide</name>
            <orcid>0000-0002-7196-6609</orcid>
            <affiliation code="dnet:pers:453" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366880</identifier>
    <title>Relating two automata-based models of orchestration and choreography</title>
    <creators>
        <creator orcid="0000-0002-7196-6609">Basile D</creator>
        <creator>Degano P</creator>
        <creator>Ferrari G</creator>
        <creator>Tuosto E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computational Theory and Mathematics</subject>
        <subject>Services</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Model</subject>
        <subject>Verification</subject>
        <subject>Software</subject>
        <subject>Logic</subject>
        <subject>Contracts</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Journal of Logical and Algebraic Methods in Programming" rights="Open Access">https://doi.org/10.1016/j.jlamp.2015.09.011</url>
        <url hostedBy="Flore (Florence Research Repository)" rights="Open Access">http://hdl.handle.net/2158/1141730</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1016/j.jlamp.2015.09.011</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329614</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329614&amp;bitstreamId=6d71e31d-f3dc-41aa-90db-4103dcf041a7</url>
    </urls>
    <dois>
        <doi>10.1016/j.jlamp.2015.09.011</doi>
        <doi>http://dx.doi.org/10.1016/j.jlamp.2015.09.011</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We investigate the relations between two automata-based models for describing and studying distributed services, called contract automata and communicating machines. In the first model, distributed services are abstracted away as automata - oblivious of their partners - that coordinate with each other through an orchestrator. The second one is concerned with the interactions occurring between distributed services, that are represented by channel-based asynchronous communications; then services are coordinated through choreography. We define a notion of strong agreement on contract automata; exhibit a natural mapping from this model to communicating machines with a synchronous semantics; and give conditions to ensure that strong agreement corresponds to well-formed choreography. Then these results are extended to a more liberal notion of agreement and to a fully asynchronous semantics of communicating machines.</abstract>
    <source>THE JOURNAL OF LOGICAL AND ALGEBRAIC METHODS IN PROGRAMMING, vol. 85 (issue 3), pp. 425-446</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/295261/EU/Mobility between Europe and Argentina applying Logics to Systems/MEALS</infoId>
            <openaireId>corda_______::03403ae73383a4a32d26e7ea74438105</openaireId>
            <code>295261</code>
            <name>Mobility between Europe and Argentina applying Logics to Systems</name>
            <acronym>MEALS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:453</infoId>
            <name>Basile, Davide</name>
            <orcid>0000-0002-7196-6609</orcid>
            <affiliation code="dnet:pers:453" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-030-22397-7_8" url="https://dx.doi.org/10.1007/978-3-030-22397-7_8">Bridging the Gap Between Supervisory Control and Coordination of Services: Synthesis of Orchestrations and Choreographies</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366881</identifier>
    <title>Compressed String Dictionary Search with Edit Distance One</title>
    <creators>
        <creator>Belazzougui D</creator>
        <creator orcid="0000-0002-9830-3936">Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer Science Applications</subject>
        <subject>Approximate search</subject>
        <subject>General Computer Science</subject>
        <subject>Applied Mathematics</subject>
        <subject>Compressed data structure</subject>
        <subject>Pattern matching</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Algorithmica" rights="Open Access">https://arpi.unipi.it/bitstream/11568/800760/2/paper.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366881/2016_366881.preprint.pdf?id=people______%3A%3A0efd806824a4a28d1340e562b77cbd7a</url>
        <url hostedBy="Algorithmica" rights="Closed Access">https://doi.org/10.1007/s00453-015-9990-0</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/s00453-015-9990-0</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329615</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329615&amp;bitstreamId=941581ef-c4f5-499c-9a7a-df42f0a7a46a</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/article/10.1007/s00453-015-9990-0</url>
    </urls>
    <dois>
        <doi>10.1007/s00453-015-9990-0</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper we present different solutions for the problem of indexing a dictionary of strings in compressed space. Given a pattern P, the index has to report all the strings in the dictionary having edit distance at most one with P. Our first solution is able to solve queries in (almost optimal) O(vertical bar P vertical bar + occ) time where occ is the number of strings in the dictionary having edit distance at most one with P. The space complexity of this solution is bounded in terms of the kth order entropy of the indexed dictionary. A second solution further improves this space complexity at the cost of increasing the query time. Finally, we propose randomized solutions (Monte Carlo and Las Vegas) which achieve simultaneously the time complexity of the first solution and the space complexity of the second one.</abstract>
    <source>ALGORITHMICA, vol. 74 (issue 3), pp. 1099-1122</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:120</infoId>
            <name>Venturini, Rossano</name>
            <orcid>0000-0002-9830-3936</orcid>
            <affiliation code="dnet:pers:120" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366882</identifier>
    <title>Quality versus efficiency in document scoring with learning-to-rank models</title>
    <creators>
        <creator>Capannini G</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini F M</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Document scoring</subject>
        <subject>Management Science and Operations Research</subject>
        <subject>Settore INF/01 - Informatica</subject>
        <subject>Learning-to-rank</subject>
        <subject>Computer Science Applications</subject>
        <subject>Efficiency</subject>
        <subject>Library and Information Sciences</subject>
        <subject>Media Technology</subject>
        <subject>Information Systems</subject>
        <subject>Computer Science Applications1707 Computer Vision and Pattern Recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Information Processing &amp; Management" rights="Open Access">https://arpi.unipi.it/retrieve/handle/11568/1014112/697709/ltr-performance-ipm.pdf</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1016/j.ipm.2016.05.004</url>
        <url hostedBy="Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari" rights="Open Access">http://hdl.handle.net/10278/3675370</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329616</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366882/2016_366882.postprint.pdf?id=people______%3A%3A435a152f7fa79c40c1e023b339cdc4da</url>
        <url hostedBy="www.sciencedirect.com" rights="Open Access">http://www.sciencedirect.com/science/article/pii/S0306457316301248</url>
        <url hostedBy="Information Processing &amp; Management" rights="Closed Access">https://doi.org/10.1016/j.ipm.2016.05.004</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329616/2/prod_366882-doc_157373.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329616&amp;bitstreamId=684e3a65-bbbb-46f2-88e8-773f1e7db200</url>
    </urls>
    <dois>
        <doi>10.1016/j.ipm.2016.05.004</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Learning-to-Rank (LtR) techniques leverage machine learning algorithms and large amounts of training data to induce high-quality ranking functions. Given a set of documents and a user query, these functions are able to precisely predict a score for each of the documents, in turn exploited to effectively rank them. Although the scoring efficiency of LtR models is critical in several applications - e.g., it directly impacts on response time and throughput of Web query processing - it has received relatively little attention so far. The goal of this work is to experimentally investigate the scoring efficiency of LtR models along with their ranking quality. Specifically, we show that machine-learned ranking models exhibit a quality versus efficiency trade-off. For example, each family of LtR algorithms has tuning parameters that can influence both effectiveness and efficiency, where higher ranking quality is generally obtained with more complex and expensive models. Moreover, LtR algorithms that learn complex models, such as those based on forests of regression trees, are generally more expensive and more effective than other algorithms that induce simpler models like linear combination of features. We extensively analyze the quality versus efficiency trade-off of a wide spectrum of state-of-the-art LtR, and we propose a sound methodology to devise the most effective ranker given a time budget. To guarantee reproducibility, we used publicly available datasets and we contribute an open source C++ framework providing optimized, multi-threaded implementations of the most effective tree-based learners: Gradient Boosted Regression Trees (GBRT), Lambda-Mart (Î»-MART), and the first public-domain implementation of Oblivious Lambda-Mart (Î©Î»-MART), an algorithm that induces forests of oblivious regression trees. We investigate how the different training parameters impact on the quality versus efficiency trade-off, and provide a thorough comparison of several algorithms in the quality-cost space. The experiments conducted show that there is not an overall best algorithm, but the optimal choice depends on the time budget.</abstract>
    <source>INFORMATION PROCESSING &amp; MANAGEMENT, vol. 52 (issue 6), pp. 1161-1177</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
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    <identifier>oai:it.cnr:prodotti:366884</identifier>
    <title>Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees</title>
    <creators>
        <creator>Dato D</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini F M</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
        <creator>Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Document scoring</subject>
        <subject>Settore INF/01 - Informatica</subject>
        <subject>Additive ensembles of regression trees</subject>
        <subject>Management and Accounting</subject>
        <subject>Information Systems</subject>
        <subject>Computer Science Applications</subject>
        <subject>Efficiency</subject>
        <subject>General Business</subject>
        <subject>Computer Science Applications1707 Computer Vision and Pattern Recognition</subject>
        <subject>Learning to rank</subject>
        <subject>Cache-awareness</subject>
        <subject>Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni</subject>
        <subject>Business, Management and Accounting (all)</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
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        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2987380</url>
        <url hostedBy="Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari" rights="Open Access">http://hdl.handle.net/10278/3692219</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329618</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366884/2016_366884.postprint.pdf?id=people______%3A%3A9a71d7dd0787d0fd110c92ef713328ca</url>
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        <doi>10.1145/2987380</doi>
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    <abstract>Learning-to-Rank models based on additive ensembles of regression trees have been proven to be very effective for scoring query results returned by large-scale Web search engines. Unfortunately, the computational cost of scoring thousands of candidate documents by traversing large ensembles of trees is high. Thus, several works have investigated solutions aimed at improving the efficiency of document scoring by exploiting advanced features of modern CPUs and memory hierarchies. In this article, we present QUICKSCORER, a new algorithm that adopts a novel cache-efficient representation of a given tree ensemble, performs an interleaved traversal by means of fast bitwise operations, and supports ensembles of oblivious trees. An extensive and detailed test assessment is conducted on two standard Learning-to-Rank datasets and on a novel very large dataset we made publicly available for conducting significant efficiency tests. The experiments show unprecedented speedups over the best state-of-the-art baselines ranging from 1.9x to 6.6x. The analysis of low-level profiling traces shows that QUICKSCORER efficiency is due to its cache-aware approach in terms of both data layout and access patterns and to a control flow that entails very low branch mis-prediction rates.</abstract>
    <source>ACM TRANSACTIONS ON INFORMATION SYSTEMS, vol. 35 (issue 2)</source>
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        <dataset doi="10.1145/3132847.3132895" url="https://dx.doi.org/10.1145/3132847.3132895">Sensitive and Scalable Online Evaluation with Theoretical Guarantees</dataset>
        <dataset doi="10.1145/3077136.3080725" url="https://dx.doi.org/10.1145/3077136.3080725">X-DART</dataset>
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<record>
    <identifier>oai:it.cnr:prodotti:366886</identifier>
    <title>Fast traversal of large ensembles of regression trees</title>
    <creators>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini F M</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
        <creator>Orlando S</creator>
        <creator>Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Learni</subject>
        <subject>Efficient scoring</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="ercim-news.ercim.eu" rights="Open Access">https://ercim-news.ercim.eu/en107/special/fast-traversal-of-large-ensembles-of-regression-trees</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329620</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329620/1/prod_366886-doc_121222.pdf</url>
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    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The complexity of tree-based, machine-learnt models and their widespread use in web-scale systems requires novel algorithmic solutions to make the models fast and scalable, both in the learning phase and in the real-world. Machine-learnt models based on additive ensembles of regression trees have been shown to be very effective in several classification, regression, and ranking tasks. These ensemble models, generated by boosting meta-algorithms that iteratively learn and combine thousands of simple decision trees, are very demanding from a computational point of view. In fact, all the trees of the ensemble have to be traversed for each item to which the model is applied in order to compute their additive contribution to the final score. This high computational cost becomes a challenging issue in the case of large-scale applications. Consider, for example, the problem of ranking query results in a web-scale information retrieval system: the time budget available to rank the possibly huge number of candidate results is limited due to the incoming rate of queries and user expectations of quality-of-service. On the other hand, effective and complex rankers with thousands of trees have to be exploited to return precise and accurate results [1]. To improve the efficiency of these systems, in collaboration with Tiscali Italia S.p.A, we recently proposed QuickScorer (QS), a solution that remarkably improves the performance of the scoring process by dealing with features and characteristics of modern CPUs and memory hierarchies [2]. QS adopts a novel bit-vector representation of the tree-based model, and performs the traversal of the ensemble by means of simple logical bitwise operations. The traversal is not performed by QS one tree after another, as one would expect, but is instead interleaved, feature by feature, over the whole tree ensemble. Due to its cache-aware approach, both in terms of data layout and access patterns, and to a control flow that entails very low branch mis-prediction rates, the QS performance is impressive, resulting in speedups of up to 6.5x over state-of-the-art competitors.</abstract>
    <source>ERCIM NEWS, vol. 107, pp. 28-29</source>
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            <name>Lucchese, Claudio</name>
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            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
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            <name>Perego, Raffaele</name>
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<record>
    <identifier>oai:it.cnr:prodotti:366887</identifier>
    <title>Space-Efficient Substring Occurrence Estimation</title>
    <creators>
        <creator>Orlandi A</creator>
        <creator orcid="0000-0002-9830-3936">Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Text indexing</subject>
        <subject>Compressed full-text indexing</subject>
        <subject>Computer Science Applications</subject>
        <subject>Full-text indexing</subject>
        <subject>Full text Index</subject>
        <subject>General Computer Science</subject>
        <subject>Data structures</subject>
        <subject>Applied Mathematics</subject>
        <subject>Pattern matching</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Algorithmica" rights="Closed Access">https://doi.org/10.1007/s00453-014-9936-y</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1145/1989284.1989300</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/s00453-014-9936-y</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329621</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329621&amp;bitstreamId=179c2cd6-484c-4045-a1a2-ab7ad33d17bb</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/article/10.1007/s00453-014-9936-y</url>
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        <doi>10.1007/s00453-014-9936-y</doi>
        <doi>10.1145/1989284.1989300</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this paper we study the problem of estimating the number of occurrences of substrings in textual data: A text on some alphabet of length is preprocessed and an index is built. The index is used in lieu of the text to answer queries of the form , returning an approximated number of the occurrences of an arbitrary pattern as a substring of . The problem has its main application in selectivity estimation related to the LIKE predicate in textual databases. Our focus is on obtaining an algorithmic solution with guaranteed error rates and small footprint. To achieve that, we first enrich previous work in the area of compressed text-indexing providing an optimal data structure that, for a given additive error , requires bits. We also approach the issue of guaranteeing exact answers for sufficiently frequent patterns, providing a data structure whose size scales with the amount of such patterns. Our theoretical findings are supported by experiments showing the practical impact of our data structures.</abstract>
    <source>ALGORITHMICA, vol. 74 (issue 1), pp. 65-90</source>
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            <name>Venturini, Rossano</name>
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        <dataset doi="10.4230/lipics.cpm.2020.13" url="https://dx.doi.org/10.4230/lipics.cpm.2020.13">FM-Index Reveals the Reverse Suffix Array</dataset>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366888</identifier>
    <title>Compressed Cache-Oblivious String B-Tree</title>
    <creators>
        <creator>Ferragina P</creator>
        <creator orcid="0000-0002-9830-3936">Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Indexing data structure</subject>
        <subject>H.3 INFORMATION STORAGE AND RETRIEVAL</subject>
        <subject>Data compression</subject>
        <subject>Mathematics (miscellaneous)</subject>
        <subject>Compressed index</subject>
        <subject>Pattern matching</subject>
        <subject>String dictionary</subject>
        <subject>Indexing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2903141</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1007/978-3-642-40450-4_40</url>
        <url hostedBy="ACM Transactions on Algorithms" rights="Closed Access">https://doi.org/10.1145/2903141</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2903141</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329622</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329622&amp;bitstreamId=e8aef518-1a39-4c39-a4a5-153b5453ed12</url>
    </urls>
    <dois>
        <doi>10.1145/2903141</doi>
        <doi>10.1007/978-3-642-40450-4_40</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this article, we study three variants of the well-known prefix-search problem for strings, and we design solutions for the cache-oblivious model which improve the best known results. Among these contributions, we close (asymptotically) the classic problem, which asks for the detection of the set of strings that share the longest common prefix with a queried pattern by providing an I/O-optimal solution that matches the space lower bound for tries up to a constant multiplicative factor of the form (1 + epsilon), for epsilon &gt; 0. Our solutions hinge upon a novel compressed storage scheme that adds the ability to decompress prefixes of the stored strings I/O-optimally to the elegant locality-preserving front coding (Bender et al. 2006) still preserving its space bounds.</abstract>
    <source>ACM TRANSACTIONS ON ALGORITHMS, vol. 12 (issue 4)</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:120</infoId>
            <name>Venturini, Rossano</name>
            <orcid>0000-0002-9830-3936</orcid>
            <affiliation code="dnet:pers:120" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
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            <code>com_20.500.14243_21</code>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>01.01 Articolo in rivista</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366890</identifier>
    <title>A benchmark dataset for human activity recognition and ambient assisted living</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator>Bacciu D</creator>
        <creator orcid="0000-0002-1248-9478">Chessa S</creator>
        <creator>Dragone M</creator>
        <creator>Gallicchio C</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator>Lozano H</creator>
        <creator>Micheli A</creator>
        <creator>Òhare Gmp</creator>
        <creator>Renteria A</creator>
        <creator orcid="0000-0003-2740-4331">Vairo C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Datasets</subject>
        <subject>Ambient assisted living</subject>
        <subject>Human activity recognition</subject>
        <subject>Human Activity Recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="TECNALIA Publications" rights="Open Access">http://hdl.handle.net/11556/309</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-40114-0_1</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-40114-0_1</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329624</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329624&amp;bitstreamId=10f534e6-9aee-4c4f-a3b2-3d2835d912a4</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-40114-0_1</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-40114-0_1</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present a data benchmark for the assessment of human activity recognition solutions, collected as part of the EU FP7 RUBICON project, and available to the scientific community. The dataset provides fully annotated data pertaining to numerous user activities and comprises synchronized data streams collected from a highly sensor-rich home environment. A baseline activity recognition performance obtained through an Echo State Network approach is provided along with the dataset.</abstract>
    <source>ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pp. 1-9. Sevilla, Spain, 1-3 June 2016</source>
    <projects>
        <project>
            <openaireId>corda_______::431ec42ca4643d72a45b16d9364c4143</openaireId>
            <code>269914</code>
            <name>Robotics UBIquitous COgnitive Network</name>
            <acronym>RUBICON</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:518</infoId>
            <name>Chessa, Stefano</name>
            <orcid>0000-0002-1248-9478</orcid>
            <affiliation code="dnet:pers:518" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:57</infoId>
            <name>Vairo, Claudio Francesco</name>
            <orcid>0000-0003-2740-4331</orcid>
            <affiliation code="dnet:pers:57" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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            <acronym>04 Contributo in convegno</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366891</identifier>
    <title>Homophilic network decomposition: a community-centric analysis of online social services</title>
    <creators>
        <creator orcid="0000-0003-3373-1240">Rossetti G</creator>
        <creator orcid="0000-0002-1547-6007">Pappalardo L</creator>
        <creator>Kikas R</creator>
        <creator>Pedreschi D</creator>
        <creator orcid="0000-0003-3099-3835">Giannotti F</creator>
        <creator>Dumas M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer Science Applications</subject>
        <subject>Classification</subject>
        <subject>Complex Networks</subject>
        <subject>Media Technology</subject>
        <subject>Information Systems</subject>
        <subject>Community Discovery</subject>
        <subject>Human-Computer Interaction</subject>
        <subject>Communication</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="Social Network Analysis and Mining" rights="Open Access">https://doi.org/10.1007/s13278-016-0411-4</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/s13278-016-0411-4</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329625</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/article/10.1007/s13278-016-0411-4</url>
        <url hostedBy="Social Network Analysis and Mining" rights="Open Access">https://link.springer.com/content/pdf/10.1007%2Fs13278-016-0411-4.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366891/2016_366891.published.pdf?id=people______%3A%3A0964f1f29d3b6ea6d90ed0611dcd3c39</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329625/1/prod_366891-doc_121227.pdf</url>
    </urls>
    <dois>
        <doi>10.1007/s13278-016-0411-4</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper we formulate the homophilic network decomposition problem: Is it possible to identify a network partition whose structure is able to characterize the degree of homophily of its nodes? The aim of our work is to understand the relations between the homophily of individuals and the topological features expressed by specific network substructures. We apply several community detection algorithms on three large-scale online social networks--Skype, LastFM and Google+--and advocate the need of identifying the right algorithm for each specific network in order to extract a homophilic network decomposition. Our results show clear relations between the topological features of communities and the degree of homophily of their nodes in three online social scenarios: product engagement in the Skype network, number of listened songs on LastFM and homogeneous level of education among users of Google+.</abstract>
    <source>SOCIAL NETWORK ANALYSIS AND MINING, vol. 6 (issue 1)</source>
    <projects>
        <project>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:685</infoId>
            <name>Giannotti, Fosca</name>
            <orcid>0000-0003-3099-3835</orcid>
            <affiliation code="dnet:pers:685" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:234</infoId>
            <name>Pappalardo, Luca</name>
            <orcid>0000-0002-1547-6007</orcid>
            <affiliation code="dnet:pers:234" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:187</infoId>
            <name>Rossetti, Giulio</name>
            <orcid>0000-0003-3373-1240</orcid>
            <affiliation code="dnet:pers:187" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366897</identifier>
    <title>Refinement of behavioural models for variability description</title>
    <creators>
        <creator orcid="0000-0002-4648-4667">Fantechi A</creator>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Formal Methods</subject>
        <subject>Model checking</subject>
        <subject>Temporal logic</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329631</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329631&amp;bitstreamId=9c1ce994-ef7b-4c07-b4d6-3a2b8f2bb6b8</url>
        <url hostedBy="www.taylorfrancis.com" rights="Restricted">https://www.taylorfrancis.com/chapters/refinement-behavioural-models-variability-description-alessandro-fantechi-stefania-gnesi/e/10.1201/b20053-23?context=ubx&amp;refId=715bfe83-beaa-44ed-9259-4c8198ca2f54</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>In Product Lines Engineering many studies are focused on the research of the best behavioural model useful to describe a product family and to reason about properties of the family itself. In addition the model must allow to describe in a simple way different types of variability, needed to characterize several products of the family. Modal Transition System (MTS) is one of the more relevant behavioural model that has been broadly studied in literature and several extensions have been also described to more finely address behavioural variability. Furthermore MTS and its extensions define a concept of refinement which represents a step of design process, namely a step where some allowed requirements are discarded and other ones become necessary. In this chapter we present a bunch of variants of the classic MTS definition with the associated refinement definitions and a discussion on their expressive power.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:558</infoId>
            <name>Fantechi, Alessandro</name>
            <orcid>0000-0002-4648-4667</orcid>
            <affiliation code="dnet:pers:558" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366906</identifier>
    <title>ICON loop carpooling show case</title>
    <creators>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator>Kotthoff L</creator>
        <creator orcid="0000-0002-2827-7613">Guidotti R</creator>
        <creator>Òsullivan B</creator>
        <creator>Pedreschi D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mobility Profiles</subject>
        <subject>Constraint Programming</subject>
        <subject>Carpooling</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-50137-6_13</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-50137-6_13</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329638</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329638&amp;bitstreamId=756c7917-9296-404d-8547-cead5050fa87</url>
        <url hostedBy="link.springer.com" rights="Restricted">https://link.springer.com/chapter/10.1007/978-3-319-50137-6_13</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-50137-6_13</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this chapter we describe a proactive carpooling service that combines induction and optimization mechanisms to maximize the impact of carpooling within a community. The approach autonomously infers the mobility demand of the users through the analysis of their mobility traces (i.e. Data Mining of GPS trajectories) and builds the network of all possible ride sharing opportunities among the users. Then, the maximal set of carpooling matches that satisfy some standard requirements (maximal capacity of vehicles, etc.) is computed through Constraint Programming models, and the resulting matches are proactively proposed to the users. Finally, in order to maximize the expected impact of the service, the probability that each carpooling match is accepted by the users involved is inferred through Machine Learning mechanisms and put in the CP model. The whole process is reiterated at regular intervals, thus forming an instance of the general ICON loop.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:171</infoId>
            <name>Guidotti, Riccardo</name>
            <orcid>0000-0002-2827-7613</orcid>
            <affiliation code="dnet:pers:171" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_29</code>
            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_30</code>
            <name>02.01 Contributo in volume (Capitolo o Saggio)</name>
            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366914</identifier>
    <title>Combining Fisher Vector and Convolutional Neural Networks for image retrieval</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-2909-7745">Rabitti F</creator>
        <creator orcid="0000-0001-7182-7038">Vadicamo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Fisher Vector</subject>
        <subject>Convolutional Neural Network</subject>
        <subject>Content based image retrieval</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329646</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366914/2016_366914.postprint.pdf?id=people______%3A%3Ad33032e4aa3693674eb645386b196e91</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329646/1/prod_366914-doc_121233.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Fisher Vector (FV) and deep Convolutional Neural Network (CNN) are two popular approaches for extracting effective image representations. FV aggregates local information (e.g., SIFT) and have been state-of-the-art before the recent success of deep learning approaches. Recently, combination of FV and CNN has been investigated. However, only the aggregation of SIFT has been tested. In this work, we propose combining CNN and FV built upon binary local features, called BMM-FV. The results show that BMM-FV and CNN improve the latter retrieval performance with less computational effort with respect to the use of the traditional FV which relies on non-binary features.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:584</infoId>
            <name>Rabitti, Fausto</name>
            <orcid>0000-0002-2909-7745</orcid>
            <affiliation code="dnet:pers:584" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:383</infoId>
            <name>Vadicamo, Lucia</name>
            <orcid>0000-0001-7182-7038</orcid>
            <affiliation code="dnet:pers:383" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366922</identifier>
    <title>Ranking documents efficiently with QuickScorer</title>
    <creators>
        <creator>Dato D</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini F M</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
        <creator>Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Learning to rank</subject>
        <subject>Efficient scoring</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329654</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329654&amp;bitstreamId=7c613d4b-dee2-42dd-b04c-24e48cafdef4</url>
        <url hostedBy="sebd2016.unisalento.it" rights="Restricted">http://sebd2016.unisalento.it</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This discussion paper presents our recent work on the efficiency of Learning-to-Rank models based on additive ensembles of regression trees. These models, although computationally expensive, have proven to provide a very effective solution to the problem of ranking query results returned by Web search engines, a scenario where quality and efficiency requirements are very demanding. QS (qs), our novel scoring algorithm, adopts a novel bitvector representation of the tree-based ranking model, and performs an interleaved traversal of the ensemble by means of simple logical bitwise operations. Due to its cache-aware approach, both in terms of data layout and access patterns, and to a control flow that entails very low branch mis-prediction rates, qs performance are impressive, resulting in speedups 2x to 6.5x over state-of-the-art competitors. The paper proposing qs was awarded best paper at last ACM SIGIR conference.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:591</infoId>
            <name>Tonellotto, Nicola</name>
            <orcid>0000-0002-7427-1001</orcid>
            <affiliation code="dnet:pers:591" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366936</identifier>
    <title>Using Apache Lucene to search vector of locally aggregated descriptors</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0002-5225-4278">Bolettieri P</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator orcid="0000-0001-7182-7038">Vadicamo L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Vector of Locally Aggregated Descriptors</subject>
        <subject>Local Features</subject>
        <subject>Bag of Features</subject>
        <subject>I.5.4</subject>
        <subject>Compact Codes</subject>
        <subject>I.4</subject>
        <subject>Information Retrieval (cs.IR)</subject>
        <subject>Computer Vision and Pattern Recognition (cs.CV)</subject>
        <subject>Image Retrieval</subject>
        <subject>Computer Science - Information Retrieval</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Bag of Words</subject>
        <subject>H.3.3</subject>
        <subject>Computer Science - Computer Vision and Pattern Recognition</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1604.05576</url>
        <url hostedBy="arxiv.org" rights="Open Access">http://arxiv.org/pdf/1604.05576</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5220/0005722503830392</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329668</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366936/2016_366936.preprint.pdf?id=people______%3A%3Ac64b2e94e92b04b214c6db2f4c0787ae</url>
        <url hostedBy="www.scitepress.org" rights="Open Access">http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=IX1NRClezpU=&amp;t=1</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1604.05576</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.5220/0005722503830392</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329668/2/prod_366936-doc_157376.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329668&amp;bitstreamId=e5d31cc2-956c-4098-a100-703d48ac4005</url>
    </urls>
    <dois>
        <doi>10.5220/0005722503830392</doi>
        <doi>10.48550/arxiv.1604.05576</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Surrogate Text Representation (STR) is a profitable solution to efficient similarity search on metric space using conventional text search engines, such as Apache Lucene. This technique is based on comparing the permutations of some reference objects in place of the original metric distance. However, the Achilles heel of STR approach is the need to reorder the result set of the search according to the metric distance. This forces to use a support database to store the original objects, which requires efficient random I/O on a fast secondary memory (such as flash-based storages). In this paper, we propose to extend the Surrogate Text Representation to specifically address a class of visual metric objects known as Vector of Locally Aggregated Descriptors (VLAD). This approach is based on representing the individual sub-vectors forming the VLAD vector with the STR, providing a finer representation of the vector and enabling us to get rid of the reordering phase. The experiments on a publ icly available dataset show that the extended STR outperforms the baseline STR achieving satisfactory performance near to the one obtained with the original VLAD vectors</abstract>
    <source/>
    <projects>
        <project>
            <infoId/>
            <openaireId/>
            <code>325122</code>
            <name>Europeana network of Ancient Greek and Latin Epigraphy</name>
            <acronym>Europeana network of Ancient Greek and Latin Epigraphy</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction/>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:49</infoId>
            <name>Bolettieri, Paolo</name>
            <orcid>0000-0002-5225-4278</orcid>
            <affiliation code="dnet:pers:49" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:383</infoId>
            <name>Vadicamo, Lucia</name>
            <orcid>0000-0001-7182-7038</orcid>
            <affiliation code="dnet:pers:383" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>Amato, G., Bolettieri, P., Falchi, F., and Gennaro, C. (2013a). Large scale image retrieval using vector of locally aggregated descriptors. In Brisaboa, N., Pedreira, O., and Zezula, P., editors, Similarity Search and Applications, volume 8199 of Lecture Notes in Computer Science, pages 245-256. Springer Berlin Heidelberg.</citation>
        <citation>Amato, G., Bolettieri, P., Falchi, F., Gennaro, C., and Rabitti, F. (2011). Combining local and global visual feature similarity using a text search engine. In ContentBased Multimedia Indexing (CBMI), 2011 9th International Workshop on, pages 49 -54.</citation>
        <citation>Amato, G., Falchi, F., and Gennaro, C. (2013b). On reducing the number of visual words in the bag-of-features representation. In VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications, volume 1, pages 657-662.</citation>
        <citation>Amato, G., Falchi, F., Gennaro, C., and Bolettieri, P. (2014a). Indexing vectors of locally aggregated descriptors using inverted files. In Proceedings of International Conference on Multimedia Retrieval, ICMR '14, pages 439:439-439:442.</citation>
        <citation>Amato, G., Gennaro, C., and Savino, P. (2014b). MIFile: using inverted files for scalable approximate similarity search. Multimedia Tools and Applications, 71(3):1333-1362.</citation>
        <citation>Arandjelovic, R. and Zisserman, A. (2013). All about VLAD. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 1578- 1585.</citation>
        <citation>Bay, H., Tuytelaars, T., and Van Gool, L. (2006). SURF: Speeded Up Robust Features. In Leonardis, A., Bischof, H., and Pinz, A., editors, Computer Vision - ECCV 2006, volume 3951 of Lecture Notes in Computer Science, pages 404-417. Springer Berlin Heidelberg.</citation>
        <citation>Boureau, Y.-L., Bach, F., LeCun, Y., and Ponce, J. (2010). Learning mid-level features for recognition. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pages 2559-2566.</citation>
        <citation>Chavez, G., Figueroa, K., and Navarro, G. (2008). Effective proximity retrieval by ordering permutations. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 30(9):1647 -1658.</citation>
        <citation>Chen, D., Tsai, S., Chandrasekhar, V., Takacs, G., Chen, H., Vedantham, R., Grzeszczuk, R., and Girod, B. (2011).</citation>
        <citation>Residual enhanced visual vectors for on-device image matching. In Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on, pages 850-854.</citation>
        <citation>Chum, O., Philbin, J., Sivic, J., Isard, M., and Zisserman, A. (2007). Total recall: Automatic query expansion with a generative feature model for object retrieval. In Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, pages 1-8.</citation>
        <citation>Csurka, G., Dance, C., Fan, L., Willamowski, J., and Bray, C. (2004). Visual categorization with bags of keypoints. Workshop on statistical learning in computer vision, ECCV, 1(1-22):1-2.</citation>
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<record>
    <identifier>oai:it.cnr:prodotti:366938</identifier>
    <title>User-item group formation with GroupFinder</title>
    <creators>
        <creator>Brilhante I</creator>
        <creator>Macedo Ja</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Recommender systems</subject>
        <subject>Group formation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/paper_9.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329670</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329670/1/prod_366938-doc_121241.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The GroupFinder framework addresses the new problem of recommending the best group of friends with whom to enjoy a given item, e.g., a travel destination or a movie. Given a user, her social network and a recommended item that is relevant for the user, our novel recommendation task tries to maximize: i) the relevance of the recommended item for every member of the group, and ii) the intra-group social relationships. This extended abstract shortly summarize the work in [4]: we introduce the User-Item Group Formation problem, the possible solutions and the recommendation framework that organizes them. We experiment the proposed solutions using four publicly available Location Based Social Network datasets confirming the effectiveness and the feasibility of the proposed solutions.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS, pp. 2-4. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:366941</identifier>
    <title>GPU-based parallelization of QuickScorer to speed-up document ranking with tree ensembles</title>
    <creators>
        <creator orcid="0000-0001-6914-2961">Lettich F</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
        <creator>Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Learning to rank</subject>
        <subject>GPU-based efficient scoring</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/paper_15.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329673</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329673/1/prod_366941-doc_121242.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Scoring documents with learning-to-rank (LtR) models based on large ensembles of regression trees currently represents one of the most effective solutions to rank query results returned by large scale Information Retrieval systems. However, such scoring models are very complex, and when deployed in real Web Search Engine infrastructures they are constrained within strict time budgets. This calls for very fast and efficient solutions, able to exploit all the computational resources offered by a given system. This paper investigates the opportunities offered by modern graphic cards (GPUs) to efficiently exploit LtR complex models based on trees ensembles to rank documents. To this end we propose GPUScorer, a GPU-based parallelization of the state-of-the-art algorithm QuickScorer to score documents with tree ensembles. GPUScorer takes advantage of the huge computational power of GPUs to perform tree ensemble traversal by evaluating multiple documents simultaneously. We provide a concise experimental evaluation, and show that GPUScorer is able to achieve speedups up to 32x over the sequential version of QuickScorer.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:665</infoId>
            <name>Lettich, Francesco</name>
            <orcid>0000-0001-6914-2961</orcid>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <infoId>dnet:pers:591</infoId>
            <name>Tonellotto, Nicola</name>
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            <affiliation code="dnet:pers:591" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:366942</identifier>
    <title>Transductive Distributional Correspondence Indexing for cross-domain topic classification</title>
    <creators>
        <creator orcid="0000-0002-0377-1025">Moreo Fernandez A.  D.</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A.</creator>
        <creator orcid="0000-0003-4221-6427">Sebastiani F.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cross-domain adaptation</subject>
        <subject>Distributional hypothesis</subject>
        <subject>Topic classification</subject>
        <subject>Transduction</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/paper_5.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329674</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366942/2016_%20366942.published.pdf?id=people______%3A%3A7bedeee3c2bdd23958b7e611ef5304cf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329674/1/prod_366942-doc_121243.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Obtaining high-quality annotated data for training a classifier for a new domain is often costly. Domain Adaptation (DA) aims at leveraging the annotated data available from a different but related source domain in order to deploy a classification model for the target domain of interest, thus alleviating the aforementioned costs. To that aim, the learning model is typically given access to a set of unlabelled documents collected from the target domain. These documents might consist of a representative sample of the target distribution, and they could thus be used to infer a general classification model for the domain (inductive inference). Alternatively, these documents could be the entire set of documents to be classified; this happens when there is only one set of documents we are interested in classifying (transductive inference). Many of the DA methods proposed so far have focused on transductive classification by topic, i.e., the task of assigning class labels to a specific set of documents based on the topics they are about. In this work, we report on new experiments we have conducted in transductive classification by topic using Distributional Correspondence Indexing method, a DA method we have recently developed that delivered state-of-the-art results in inductive classification by sentiment. The results we have obtained on three popular datasets show DCI to be competitive with the state of the art also in this scenario, and to be superior to all compared methods in many cases.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS, vol. 1653, pp. 8-11. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
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            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <infoId>dnet:pers:320</infoId>
            <name>Moreo Fernandez, Alejandro David</name>
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            <name>Sebastiani, Fabrizio</name>
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            <acronym>Catalogo Ricerca</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366943</identifier>
    <title>Speeding-up document scoring with tree ensembles using CPU SIMD extensions</title>
    <creators>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
        <creator>Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Learning to rank</subject>
        <subject>Efficiency</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/paper_7.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329675</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329675/1/prod_366943-doc_121244.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Scoring documents with learning-to-rank (LtR) models based on large ensembles of regression trees is currently deemed one of the best solutions to effectively rank query results to be returned by large scale Information Retrieval systems. This extended abstract shortly summarizes the work in [4] proposing V-QuickScorer (vQS), an algorithm which exploits SIMD vector extensions on modern CPUs to perform the traversal of the ensamble in parallel by evaluating multiple documents simultaneously. We summarize the results of a comprehensive evaluation of vQS against state-of-the-art scoring algorithms showing that vQS outperforms competitors with speed-ups up to a factor of 2.4x.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:591</infoId>
            <name>Tonellotto, Nicola</name>
            <orcid>0000-0002-7427-1001</orcid>
            <affiliation code="dnet:pers:591" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366946</identifier>
    <title>Understanding human mobility during events in foursquare</title>
    <creators>
        <creator>Muntean Ci</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator>Noulas A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Event detection</subject>
        <subject>Mobility analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/paper_6.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329678</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329678/1/prod_366946-doc_121245.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Social events can generate high influxes of people transitioning various locations in a city. They can be considered to have a considerable impact on the local economy, whether they are sport events, concerts or festivals. These events are capable of generating sudden changes in the activity landscape of a city, with the neighborhoods that host events becoming unusually busy and active compared to times of regular citizen activity. While event and anomaly detection more generally has been a topic of study in recent years, as also has been event recommendation for mobile users, progress has been slower towards building systems that are able to capture the sudden shift appropriately in this setting. In this work we exploit data from the location-based service Foursquare to study mobility during events in Chicago, and later expand our study to other cities as well. Our aim is to identify what differences emerge in terms of user mobility during events versus regular periods of human activity.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366947</identifier>
    <title>Car parking occupancy detection using smart camera networks and Deep Learning</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-5014-5089">Carrara F</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator orcid="0000-0003-2740-4331">Vairo C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Classification</subject>
        <subject>Convolutional Neural Networks</subject>
        <subject>Machine Learning</subject>
        <subject>Deep Learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/iscc.2016.7543901</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329679</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">https://ieeexplore.ieee.org/document/7543901</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366947/2016_366947_preprint.pdf?id=people______%3A%3Ad5e5f1f6dc177627afc9cedca083a7dd</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/iscc.2016.7543901</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329679/2/prod_366947-doc_159991.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329679&amp;bitstreamId=28d35c3d-9ae8-426f-a598-8bde8825d960</url>
    </urls>
    <dois>
        <doi>10.1109/iscc.2016.7543901</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This paper presents an approach for real-time car parking occupancy detection that uses a Convolutional Neural Network (CNN) classifier running on-board of a smart camera with limited resources. Experiments show that our technique is very effective and robust to light condition changes, presence of shadows, and partial occlusions. The detection is reliable, even when tests are performed using images captured from a viewpoint different than the viewpoint used for training. In addition, it also demonstrates its robustness when training and tests are executed on different parking lots. We have tested and compared our solution against state of the art techniques, using a reference benchmark for parking occupancy detection. We have also produced and made publicly available an additional dataset that contains images of the parking lot taken from different viewpoints and in different days with different light conditions. The dataset captures occlusion and shadows that might disturb the classification of the parking spaces status.</abstract>
    <source>PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS, pp. 1212-1217. Messina, Italy, 27-30 June 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:470</infoId>
            <name>Carrara, Fabio</name>
            <orcid>0000-0001-5014-5089</orcid>
            <affiliation code="dnet:pers:470" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:57</infoId>
            <name>Vairo, Claudio Francesco</name>
            <orcid>0000-0003-2740-4331</orcid>
            <affiliation code="dnet:pers:57" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366949</identifier>
    <title>"Are we playing like Music-Stars?" Placing emerging artists on the Italian music scene</title>
    <creators>
        <creator orcid="0000-0001-9914-1943">Pollacci L</creator>
        <creator orcid="0000-0002-2827-7613">Guidotti R</creator>
        <creator orcid="0000-0003-3373-1240">Rossetti G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Music Data Mining</subject>
        <subject>Musical Clusters</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/329681</url>
        <url hostedBy="sites.google.com" rights="Open Access">https://sites.google.com/site/musicmachinelearning16/proceedings</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/329681/1/prod_366949-doc_121248.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>The Italian emerging bands chase success on the footprint of popular artists by playing rhythmic danceable and happy songs. Our finding comes out from a study of the Italian music scene and how the new generation of musicians relate with the tradition of their country. By analyzing Spotify data we investigated the peculiarity of regional music and we placed emerging bands within the musical movements defined by already successful artists. The approach proposed and the results obtained are a first attempt to outline rules suggesting the importance of those features needed to increase popularity in the Italian music scene.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:171</infoId>
            <name>Guidotti, Riccardo</name>
            <orcid>0000-0002-2827-7613</orcid>
            <affiliation code="dnet:pers:171" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:504</infoId>
            <name>Pollacci, Laura</name>
            <orcid>0000-0001-9914-1943</orcid>
            <affiliation code="dnet:pers:504" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:187</infoId>
            <name>Rossetti, Giulio</name>
            <orcid>0000-0003-3373-1240</orcid>
            <affiliation code="dnet:pers:187" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366952</identifier>
    <title>Group finder: an item-driven group formation framework</title>
    <creators>
        <creator>Brilhante I</creator>
        <creator>Macedo Ja</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Group Recommendation</subject>
        <subject>Location Based Socia</subject>
        <subject>Location Based Social Network</subject>
        <subject>Group Formation</subject>
        <subject>Recommendation System</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/mdm.2016.16</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/mdm.2016.16</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329684</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7517773/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329684&amp;bitstreamId=534629f4-cf64-46b5-8b83-c11aa7d5c663</url>
    </urls>
    <dois>
        <doi>10.1109/mdm.2016.16</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Several among our daily activities, like traveling to a tourist attraction, are better enjoyed with a group of friends. However, finding the best travel companions is sometimes tricky since we need to form a group of people combining the interest in the proposed destination with the friendship relations among the group members. In this paper we cope with this problem by proposing a new method to recommend the best group of friends with whom to enjoy a specific item, i.e., a travel destination or a venue to visit. Our approach provides a new and original perspective on recommendation: given a user, her social network and a recommended item that is relevant for the user, we want to suggest the best group of friends with whom enjoying the item. This approach differs from traditional group recommendation since it tries to maximize two orthogonal aspects: i) the relevance of the recommended item for every member of the group, and ii), the intra-group social relationships. We introduce the Group Finder framework defining the User-Item Group Formation problem and the possible solutions. We assess our approach in the domain of location recommendation and experiment the proposed solutions using four different publicly available Location Based Social Network (LBSN) datasets. The results achieved confirm the effectiveness and the feasibility of the proposed solutions that outperform strong baselines.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::03e99adf7fe7e2fa3e80b4ea01770644</openaireId>
            <code>295179</code>
            <name>Semantic EnrichmEnt of trajectory Knowledge discovery</name>
            <acronym>SEEK</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366973</identifier>
    <title>Sentiment-enhanced multidimensional analysis of online social networks: perception of the mediterranean refugees crisis</title>
    <creators>
        <creator>Coletto M</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator>Muntean Ci</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer Science - Social and Information Networks</subject>
        <subject>Sentiment analysis</subject>
        <subject>Multidimensional analysis</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Urban areas</subject>
        <subject>Refugee crisis</subject>
        <subject>Social and Information Networks (cs.SI)</subject>
        <subject>Twitter</subject>
        <subject>Data mining</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1605.01895</url>
        <url hostedBy="arxiv.org" rights="Open Access">http://arxiv.org/pdf/1605.01895</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/asonam.2016.7752401</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331790</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7752401/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366973/2016_366973.preprint.pdf?id=people______%3A%3A6408b6eaddf7cf6bce03e6b331241471</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/ASONAM.2016.7752401</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1605.01895</url>
        <url hostedBy="gateway.webofknowledge.com" rights="not available">http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&amp;SrcAuth=ORCID&amp;SrcApp=OrcidOrg&amp;DestLinkType=FullRecord&amp;DestApp=WOS_CPL&amp;KeyUT=WOS:000390760100196&amp;KeyUID=WOS:000390760100196</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331790/2/prod_366973-doc_157377.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331790&amp;bitstreamId=ab1b5298-320b-47eb-b2b8-a59cbdd7bcb8</url>
    </urls>
    <dois>
        <doi>10.1109/asonam.2016.7752401</doi>
        <doi>10.48550/arxiv.1605.01895</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We propose an analytical framework able to investigate discussions about polarized topics in online social networks from many different angles. The framework supports the analysis of social networks along several dimensions: time, space and sentiment. We show that the proposed analytical framework and the methodology can be used to mine knowledge about the perception of complex social phenomena. We selected the refugee crisis discussions over Twitter as a case study. This difficult and controversial topic is an increasingly important issue for the EU. The raw stream of tweets is enriched with space information (user and mentioned locations), and sentiment (positive vs. negative) w.r.t. refugees. Our study shows differences in positive and negative sentiment in EU countries, in particular in UK, and by matching events, locations and perception, it underlines opinion dynamics and common prejudices regarding the refugees.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations>
        <citation>[1] S. Scellato, C. Mascolo, M. Musolesi, and V. Latora, “Distance matters: Geo-social metrics for online social networks,” in Conference on Online Social Networks, ser. WOSN'10, 2010.</citation>
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        <citation>[7] B. Pang and L. Lee, “Opinion mining and sentiment analysis,” Foundations and trends in information retrieval, vol. 2, no. 1-2, pp. 1-135, 2008.</citation>
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        <citation>[10] O. Kolchyna, T. T. Souza, P. Treleaven, and T. Aste, “Twitter sentiment analysis: Lexicon method, machine learning method and their combination,” arXiv preprint arXiv:1507.00955, 2015.</citation>
        <citation>[11] L. A. Adamic and N. Glance, “The political blogosphere and the 2004 us election: divided they blog,” in Proceedings of the 3rd international workshop on Link discovery. ACM, 2005, pp. 36-43.</citation>
        <citation>[12] M. Coletto, C. Lucchese, S. Orlando, and R. Perego, “Electoral predictions with twitter: a machine-learning approach,” in IIR 2015, Cagliari, Italy, 2015.</citation>
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        <citation>[14] M. Coletto, C. Lucchese, S. Orlando, and R. Perego, “Polarized user and topic tracking in twitter,” in SIGIR 2016, Pisa, Italy, 2016.</citation>
        <citation>[15] J.-P. Onnela, S. Arbesman, M. C. Gonza´lez, A.-L. Baraba´si, and N. A. Christakis, “Geographic constraints on social network groups,” PLoS one, vol. 6, no. 4, p. e16939, 2011.</citation>
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    </citations>
    <collections>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366977</identifier>
    <title>RDA Europe - Planning and activities report</title>
    <creators>
        <creator>Thanos C</creator>
        <creator orcid="0000-0001-5603-702X">Zoppi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Technology</subject>
        <subject>Computer Science</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331794</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366977/2016_366977.pdf?id=people______%3A%3Afef0e2c1ee1df421d785b3a484ba904f</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331794/1/prod_366977-doc_121269.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This WP4 Planning and Activities Report describes the actions that are intended within WP4 in the coming 12 months to engage with the practitioners and to organize uptake. It is the second report of this type describing what has been done and what is being planned.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::37bb0d4a3efb1e597393d7fc7979f325</openaireId>
            <code>653194</code>
            <name>Research Data Alliance - Europe 3</name>
            <acronym>RDA Europe</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:786</infoId>
            <name>Thanos, Costantino</name>
            <affiliation code="dnet:pers:786" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:792</infoId>
            <name>Zoppi, Franco</name>
            <orcid>0000-0001-5603-702X</orcid>
            <affiliation code="dnet:pers:792" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:792" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:366980</identifier>
    <title>Fast feature selection for learning to rank</title>
    <creators>
        <creator>Gigli A</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Feature selection</subject>
        <subject>Learning to rank</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">https://dl.acm.org/doi/10.1145/2970398.2970433</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2970398.2970433</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2970398.2970433</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331797</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331797&amp;bitstreamId=77714873-fad3-42d3-8712-701cc2e1cecb</url>
    </urls>
    <dois>
        <doi>10.1145/2970398.2970433</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>An emerging research area named Learning-to-Rank (LtR) has shown that effective solutions to the ranking problem can leverage machine learning techniques applied to a large set of features capturing the relevance of a candidate document for the user query. Large-scale search systems must however answer user queries very fast, and the computation of the features for candidate documents must comply with strict back-end latency constraints. The number of features cannot thus grow beyond a given limit, and Feature Selection (FS) techniques have to be exploited to find a subset of features that both meets latency requirements and leads to high effectiveness of the trained models. In this paper, we propose three new algorithms for FS specifically designed for the LtR context where hundreds of continuous or categorical features can be involved. We present a comprehensive experimental analysis conducted on publicly available LtR datasets and we show that the proposed strategies outperform a well-known state-of-theart competitor.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366982</identifier>
    <title>Fast and compact hamming distance index</title>
    <creators>
        <creator>Gog S.</creator>
        <creator orcid="0000-0002-9830-3936">Venturini R.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Indexing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::7d994732cb3118908d6c107ecb8762ba</documentPage>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/paper_21.pdf</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2911523</url>
        <url hostedBy="DOI Resolver" rights="Closed Access">https://dx.doi.org/10.1145/2911451.2911523</url>
        <url hostedBy="www.scopus.com" rights="Closed Access">http://www.scopus.com/inward/record.url?eid=2-s2.0-84980371941&amp;partnerID=q2rCbXpz</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/366982</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2911523</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Searching for similar objects in a collection is a core task of many applications in databases, pattern recognition, and information retrieval. As there exist similarity-preserving hash functions like SimHash, indexing these objects reduces to the solution of the Approximate Dictionary Queries problem. In this problem we have to index a collection of fixed-sized keys to efficiently retrieve all the keys which are at a Hamming distance at most ? from a query key. In this paper we propose new solutions for the approximate dictionary queries problem. These solutions combine the use of succinct data structures with an efficient representation of the keys to significantly reduce the space usage of the state-of-the-art solutions without introducing any time penalty. Finally, by exploiting triangle inequality, we can also significantly speed up the query time of the existing solutions.</abstract>
    <source>39th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 285–294, Pisa, Italy, 17-21 July 2016</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:120</infoId>
            <name>Venturini, Rossano</name>
            <orcid>0000-0002-9830-3936</orcid>
            <affiliation code="dnet:pers:120" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366983</identifier>
    <title>RDA Europe - Planning and activities report 3</title>
    <creators>
        <creator>Thanos C</creator>
        <creator orcid="0000-0001-5603-702X">Zoppi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Technology</subject>
        <subject>Computer Science</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331800</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366983/2016_366983.pdf?id=people______%3A%3A4981fb472983c8613e8f0ac6057c837e</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331800/1/prod_366983-doc_121272.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This WP4 Planning and Activities Report describes the actions that are intended within WP4 in the coming 12 months to engage with the practitioners and to organize uptake. It is the second report of this type describing what has been done and what is being planned.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::37bb0d4a3efb1e597393d7fc7979f325</openaireId>
            <code>653194</code>
            <name>Research Data Alliance - Europe 3</name>
            <acronym>RDA Europe</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:786</infoId>
            <name>Thanos, Costantino</name>
            <affiliation code="dnet:pers:786" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:792</infoId>
            <name>Zoppi, Franco</name>
            <orcid>0000-0001-5603-702X</orcid>
            <affiliation code="dnet:pers:792" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:792" type="Gruppo di lavoro" groupAcronym="GL - SI" group="Sistema Informativo"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366984</identifier>
    <title>Learning to rank user queries to detect search tasks</title>
    <creators>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator>Orlando S</creator>
        <creator>Tolomei G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Search task discovery</subject>
        <subject>Learning to rank</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2970398.2970407</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2970398.2970407</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331801</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7517773/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331801&amp;bitstreamId=7cfebd16-ae30-4ffa-b38c-7ed0da57df73</url>
    </urls>
    <dois>
        <doi>10.1145/2970398.2970407</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>We present a framework for discovering sets of web queries having similar latent needs, called search tasks, from user queries stored in a search engine log. The framework is made of two main modules: Query Similarity Learning (QSL) and Graph-based Query Clustering (GQC). The former is devoted to learning a query similarity function from a ground truth of manually-labeled search tasks. The latter represents each user search log as a graph whose nodes are queries, and uses the learned similarity function to weight edges between query pairs. Finally, search tasks are detected by clustering those queries in the graph which are connected by the strongest links, in fact by detecting the strongest connected components of the graph. To discriminate between "strong" and "weak" links also the GQC module entails a learning phase whose goal is to estimate the best threshold for pruning the edges of the graph. We discuss how the QSL module can be effectively implemented using Learning to Rank (L2R) techniques. Experiments on a real-world search engine log show that query similarity functions learned using L2R lead to better performing GQC implementations when compared to similarity functions induced by other state-of the-art machine learning solutions, such as logistic regression and decision trees.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:366986</identifier>
    <title>FM 2016 - Formal Methods. 21st International Symposium</title>
    <creators>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator>Fitzgerald J S</creator>
        <creator>Heitmeyer C L</creator>
        <creator>Philippou A</creator>
        <creator>Eds</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Formal Methods</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-48989-6</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-48989-6</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331803</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331803&amp;bitstreamId=573b9c90-d589-4dfd-a9a6-17d95ab79b2d</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/book/10.1007%2F978-3-319-48989-6</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-48989-6</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The 2016 symposium received 162 submissions to the main track - the largest number of contributions to a regular symposium in the FM series to date. Review of each submission by at least three Program Committee members followed by a dis- cussion phase led to the selection of 43 papers - an acceptance rate of 0.265. These proceedings also contain six papers selected by the Program Committee of the Industry Track chaired by Georgia Kapitsaki (University of Cyprus), Tiziana Margaria (University of Limerick and Lero, Ireland), and Marcel Verhoef (European Space Agency, The Netherlands).</abstract>
    <source/>
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            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
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            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366987</identifier>
    <title>Exploiting CPU SIMD extensions to speed-up document scoring with tree ensembles</title>
    <creators>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0003-3183-334X">Nardini Fm</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
        <creator orcid="0000-0002-7427-1001">Tonellotto N</creator>
        <creator orcid="0000-0002-9830-3936">Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Efficient scoring</subject>
        <subject>Learning to rank</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?doid=2911451.2914758</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2914758</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2911451.2914758</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331804</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331804&amp;bitstreamId=fb579c81-59bf-48c2-9089-283667bc9b27</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2914758</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Scoring documents with learning-to-rank (LtR) models based on large ensembles of regression trees is currently deemed one of the best solutions to effectively rank query results to be returned by large scale Information Retrieval systems. This paper investigates the opportunities given by SIMD capabilities of modern CPUs to the end of efficiently evaluating regression trees ensembles. We propose V-QuickScorer (vQS), which exploits SIMD extensions to vectorize the document scoring, i.e., to perform the ensemble traversal by evaluating multiple documents simultaneously. We provide a comprehensive evaluation of vQS against the state of the art on three publicly available datasets. Experiments show that vQS provides speed-ups up to a factor of 3.2x.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:591</infoId>
            <name>Tonellotto, Nicola</name>
            <orcid>0000-0002-7427-1001</orcid>
            <affiliation code="dnet:pers:591" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:120</infoId>
            <name>Venturini, Rossano</name>
            <orcid>0000-0002-9830-3936</orcid>
            <affiliation code="dnet:pers:120" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366989</identifier>
    <title>Proceedings of the 7th Italian Information Retrieval Workshop</title>
    <creators>
        <creator>Di Nunzio G</creator>
        <creator orcid="0000-0003-3183-334X">Nardini F M</creator>
        <creator>Orlando S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Information retrieval</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331806</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331806/1/prod_366989-doc_121279.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This volume contains the papers presented at IIR 2016 (the 7th Italian Infor- mation Retrieval Workshop) held on 30-31 May, 2016, in Venice, Italy. The purpose of the Italian Information Retrieval Workshop (IIR) is to provide a forum for stimulating and disseminating research in Information Retrieval, where Italian researchers (especially young ones) and researchers affiliated with Italian institutions can network and discuss their research results in an informal way. The general chair of IIR 2016 was Salvatore Orlando (Universit`a Ca' Fos- cari Venezia), and the co-chairs of the program committee were Giorgio Maria Di Nunzio (Universit`a di Padova) and Franco Maria Nardini (ISTI-CNR, Pisa). For this edition, the program committee accepted 26 papers for oral presen- tation and the final program also included four invited talks by Stefano Ceri (Politecnico di Milano), Alessandro Moschitti (Qatar Computing Research In- stitute, HBKU), Giorgio Satta (Universit`a di Padova), and Rossano Venturini (Universit`a di Pisa). The program co-chairs wish to thank all the members of the Program Com- mittee (see below) as well as the local organizers Francesco Lettich (Universit`a Ca' Foscari Venezia) and Claudio Silvestri (Universit`a Ca' Foscari Venezia), the webmaster Salvatore Trani (ISTI-CNR, Pisa), and the publicity chair, Cristina Muntean, (ISTI-CNR, Pisa).</abstract>
    <source/>
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    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:823</infoId>
            <name>Nardini, Franco Maria</name>
            <orcid>0000-0003-3183-334X</orcid>
            <affiliation code="dnet:pers:823" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <name>04.08 Curatela di Atti di convegno</name>
            <acronym>04.08 Curatela di Atti di convegno</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366990</identifier>
    <title>A novel approach to evaluate community detection algorithms on ground truth</title>
    <creators>
        <creator orcid="0000-0003-3373-1240">Rossetti G</creator>
        <creator orcid="0000-0002-1547-6007">Pappalardo L</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Classification</subject>
        <subject>Complex Networks</subject>
        <subject>Community Discovery</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="Studies in Computational Intelligence" rights="Closed Access">https://doi.org/10.1007/978-3-319-30569-1_10</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-30569-1_10</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331807</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331807&amp;bitstreamId=eea54fa8-ccca-458c-a202-77afe5ce69cb</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007%2F978-3-319-30569-1_10</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-30569-1_10</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Evaluating a community detection algorithm is a complex task due to the lack of a shared and universally accepted definition of community. In literature, one of the most common way to assess the performances of a community detection algorithm is to compare its output with given ground truth communities by using computationally expensive metrics (i.e., Normalized Mutual Information). In this paper we propose a novel approach aimed at evaluating the adherence of a community partition to the ground truth: our methodology provides more information than the state-of-the-art ones and is fast to compute on large-scale networks. We evaluate its correctness by applying it to six popular community detection algorithms on four large-scale network datasets. Experimental results show how our approach allows to easily evaluate the obtained communities on the ground truth and to characterize the quality of community detection algorithms.</abstract>
    <source>STUDIES IN COMPUTATIONAL INTELLIGENCE (PRINT), vol. 644, pp. 133-144. Dijon, France, 23-25 March 2016</source>
    <projects>
        <project>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:234</infoId>
            <name>Pappalardo, Luca</name>
            <orcid>0000-0002-1547-6007</orcid>
            <affiliation code="dnet:pers:234" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
            <affiliation code="dnet:pers:828" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
            <affiliation code="dnet:pers:828" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:187</infoId>
            <name>Rossetti, Giulio</name>
            <orcid>0000-0003-3373-1240</orcid>
            <affiliation code="dnet:pers:187" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1007/978-3-319-30569-1_10" url="https://dx.doi.org/10.1007/978-3-319-30569-1_10">A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth</dataset>
    </datasets>
    <citations/>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:366992</identifier>
    <title>Succinct data structures in information retrieval: Theory and practice</title>
    <creators>
        <creator>Gog S</creator>
        <creator orcid="0000-0002-9830-3936">Venturini R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Indexing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2914802</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2914802</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2911451.2914802</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331809</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331809&amp;bitstreamId=8bf82dc9-b0ae-4416-b3b3-a5f9d08d82ab</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2914802</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Succinct data structures are used today in many information retrieval applications, e.g., posting lists representation, language model representation, indexing (social) graphs, query auto-completion, document retrieval and indexing dictionary of strings, just to mention the most recent ones. These new kind of data structures mimic the operations of their classical counterparts within a comparable time complexity but require much less space. With the availability of several libraries for basic succinct structures - like SDSL, Succinct, Facebook's Folly, and Sux - it is relatively easy to directly profit from advances in this field. In this tutorial we will introduce this field of research by presenting the most important succinct data structures to represent set of integers, set of points, trees, graphs and strings together with their most important applications to Information Retrieval problems. The introduction of the succinct data structures will be sustained with a practical session with programming handouts to solve. This will allow the attendees to directly experiment with implementations of these solutions on real datasets and understand the potential benefits they can bring on their own projects.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:120</infoId>
            <name>Venturini, Rossano</name>
            <orcid>0000-0002-9830-3936</orcid>
            <affiliation code="dnet:pers:120" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366993</identifier>
    <title>4th FME Workshop on Formal Methods in Software Engineering Procedings</title>
    <creators>
        <creator orcid="0000-0002-0139-0421">Gnesi S</creator>
        <creator>Nico P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Formal Methods</subject>
        <subject>Software engneering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Book</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2897667&amp;picked=prox</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331810</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366993/2016_366993.published.pdf?id=people______%3A%3Ac7843ffba00bd945aaddb6d289e7255f</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331810/1/prod_366993-doc_121282.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>FormaliSE is a yearly workshop on Formal Methods in Software Engineering. FormaliSE is organised by FME (Formal Methods Europe) and is co-located with ICSE (International Conference on Software Engineering).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:600</infoId>
            <name>Gnesi, Stefania</name>
            <orcid>0000-0002-0139-0421</orcid>
            <affiliation code="dnet:pers:600" type="Laboratorio" groupAcronym="FMT" group="Formal Methods and Tools (2002-ongoing)"/>
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    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_90</code>
            <name>04.08 Curatela di Atti di convegno</name>
            <acronym>04.08 Curatela di Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366994</identifier>
    <title>Football market strategies: think locally, trade globally</title>
    <creators>
        <creator orcid="0000-0003-3373-1240">Rossetti G</creator>
        <creator>Caproni V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Sport Analytics</subject>
        <subject>Data Mining</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/icdmw.2016.0029</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/icdmw.2016.0029</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331811</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7836660/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331811&amp;bitstreamId=3334c937-2b54-4e57-92cf-f4b9feddd198</url>
    </urls>
    <dois>
        <doi>10.1109/icdmw.2016.0029</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Every year football clubs trade players in order to build competitive rosters able to compete for success, increase the number of their supporters and amplify sponsors and media attention. In the complex system described by the football transfer market can we identify the strategies pursued by successful teams? Where do they search for new talents? Does it pay to constantly change the club roster? In this work we identify archetypal market strategies over 25 years of transfer market as depicted by UEFA professional clubs and study their impact on sportive success. Our analysis underline how, regardless from clubs' available budgets, transfer market strategies deeply impact - on the long run - football sportive performances</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:187</infoId>
            <name>Rossetti, Giulio</name>
            <orcid>0000-0003-3373-1240</orcid>
            <affiliation code="dnet:pers:187" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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    <datasets/>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:366996</identifier>
    <title>Assigning creative commons licenses to research metadata: issues and cases</title>
    <creators>
        <creator>Poblet M</creator>
        <creator>Aryani A</creator>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator>Unsworth K</creator>
        <creator>Wang J</creator>
        <creator>Hausstein B</creator>
        <creator>Dallmeiertiessen S</creator>
        <creator>Klas C</creator>
        <creator>Casanovas P</creator>
        <creator>Rodriguezdoncel V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Semantic web</subject>
        <subject>Research metadata</subject>
        <subject>Licensing</subject>
        <subject>Discoverability</subject>
        <subject>Data infrastructures</subject>
        <subject>Creative Commons</subject>
        <subject>Open data</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="arxiv.org" rights="Open Access">https://arxiv.org/abs/1609.05700</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331813</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366996/2016_366996.pdf?id=people______%3A%3A5156fa965da35f9463c84a3de75192d2</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331813/1/prod_366996-doc_121286.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata, and provide some examples of the applicability of this approach to internationally known data infrastructures.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:452193</identifier>
    <title>BASMATI-a brokerage architecture on federated clouds for mobile applications</title>
    <creators>
        <creator>Altmann J</creator>
        <creator orcid="0000-0003-3643-5404">Carlini E</creator>
        <creator orcid="0000-0002-7937-4157">Coppola M</creator>
        <creator orcid="0000-0001-8504-1503">Dazzi P</creator>
        <creator>Juan Ferrer A</creator>
        <creator>Haile N</creator>
        <creator>Jung Yw</creator>
        <creator>Kang Dj</creator>
        <creator>Marshall Ij</creator>
        <creator>Tserpes K</creator>
        <creator>Varvarigou T</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>brokerage</subject>
        <subject>business-aware cloud federation</subject>
        <subject>architecture</subject>
        <subject>off-loading</subject>
        <subject>mobility</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/395350</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/395350/1/prod_452193-doc_168527.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Although mobile devices became more powerful and sophisticated over the last decade, enabling rich-multimedia services, resource constraints still hinder today's mobile applications from reaching their potential. To address this, this work aims at delivering an architecture that supports changing needs of mobile users through an end-to-end approach. The outcomes are sets of requirements, each representing a set of prioritized platform functionalities, and the BASMATI architecture that integrates the sets.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::d5c57ae956555757e4203817601ba7d5</openaireId>
            <code>723131</code>
            <name>Cloud Brokerage Across Borders for Mobile Users and Applications</name>
            <acronym>BASMATI</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:102</infoId>
            <name>Carlini, Emanuele</name>
            <orcid>0000-0003-3643-5404</orcid>
            <affiliation code="dnet:pers:102" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:843</infoId>
            <name>Coppola, Massimo</name>
            <orcid>0000-0002-7937-4157</orcid>
            <affiliation code="dnet:pers:843" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:817</infoId>
            <name>Dazzi, Patrizio</name>
            <orcid>0000-0001-8504-1503</orcid>
            <affiliation code="dnet:pers:817" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:366999</identifier>
    <title>Picture it in your mind: generating high level visual representations from textual descriptions</title>
    <creators>
        <creator orcid="0000-0001-5014-5089">Carrara F</creator>
        <creator orcid="0000-0002-5725-4322">Esuli A</creator>
        <creator orcid="0000-0003-1921-7456">Fagni T</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-0377-1025">Moreo Fernandez A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Image retrieval</subject>
        <subject>Cross-media retrieval</subject>
        <subject>Text representation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="arxiv.org" rights="Open Access">https://arxiv.org/abs/1606.07287</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331816</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/366999/2016_366999.pdf?id=people______%3A%3A77248c06aa5ce60b6d2500bf758d1ace</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331816/1/prod_366999-doc_121288.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper we tackle the problem of image search when the query is a short textual description of the image the user is looking for. We choose to implement the actual search process as a similarity search in a visual feature space, by learning to translate a textual query into a visual representation. Searching in the visual feature space has the advantage that any update to the translation model does not require to reprocess the, typically huge, image collection on which the search is performed. We propose Text2Vis, a neural network that generates a visual representation, in the visual feature space of the fc6-fc7 layers of ImageNet, from a short descriptive text. Text2Vis optimizes two loss functions, using a stochastic loss-selection method. A visual-focused loss is aimed at learning the actual text-to-visual feature mapping, while a text-focused loss is aimed at modeling the higher-level semantic concepts expressed in language and countering the overfit on non-relevant visual components of the visual loss. We report preliminary results on the MS-COCO dataset.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:470</infoId>
            <name>Carrara, Fabio</name>
            <orcid>0000-0001-5014-5089</orcid>
            <affiliation code="dnet:pers:470" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:313</infoId>
            <name>Fagni, Tiziano</name>
            <orcid>0000-0003-1921-7456</orcid>
            <affiliation code="dnet:pers:313" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:320</infoId>
            <name>Moreo Fernandez, Alejandro David</name>
            <orcid>0000-0002-0377-1025</orcid>
            <affiliation code="dnet:pers:320" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_101</code>
            <name>08.04 Rapporto tecnico</name>
            <acronym>08.04 Rapporto tecnico</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:367009</identifier>
    <title>The Haka network: Evaluating rugby team performance with dynamic graph analysis</title>
    <creators>
        <creator orcid="0000-0002-8085-9338">Cintia P</creator>
        <creator orcid="0000-0002-1547-6007">Pappalardo L</creator>
        <creator>Coscia M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Sports analytics</subject>
        <subject>Data mining</subject>
        <subject>Network science</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/asonam.2016.7752377</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/asonam.2016.7752377</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331826</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/abstract/document/7752377/?reload=true</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331826&amp;bitstreamId=20c17c57-83a7-4609-be54-e2eb5d10aca2</url>
    </urls>
    <dois>
        <doi>10.1109/asonam.2016.7752377</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Real world events are intrinsically dynamic and analytic techniques have to take into account this dynamism. This aspect is particularly important on complex network analysis when relations are channels for interaction events between actors. Sensing technologies open the possibility of doing so for sport networks, enabling the analysis of team performance in a standard environment and rules. Useful applications are directly related for improving playing quality, but can also shed light on all forms of team efforts that are relevant for work teams, large firms with coordination and collaboration issues and, as a consequence, economic development. In this paper, we consider dynamics over networks representing the interaction between rugby players during a match. We build a pass network and we introduce the concept of disruption network, building a multilayer structure. We perform both a global and a micro-level analysis on game sequences. When deploying our dynamic graph analysis framework on data from 18 rugby matches, we discover that structural features that make networks resilient to disruptions are a good predictor of a team's performance, both at the global and at the local level. Using our features, we are able to predict the outcome of the match with a precision comparable to state of the art bookmaking.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:273</infoId>
            <name>Cintia, Paolo</name>
            <orcid>0000-0002-8085-9338</orcid>
            <affiliation code="dnet:pers:273" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:234</infoId>
            <name>Pappalardo, Luca</name>
            <orcid>0000-0002-1547-6007</orcid>
            <affiliation code="dnet:pers:234" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
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            <acronym>04 Contributo in convegno</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:367059</identifier>
    <title>Driving profiles computation and monitoring for car insurance CRM</title>
    <creators>
        <creator orcid="0000-0003-3534-4332">Nanni M</creator>
        <creator orcid="0000-0001-5316-6475">Trasarti R</creator>
        <creator>Monreale A</creator>
        <creator>Grossi V</creator>
        <creator>Pedreschi D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Privacy</subject>
        <subject>Segmentation</subject>
        <subject>Artificial Intelligence</subject>
        <subject>Theoretical Computer Science</subject>
        <subject>Distributed</subject>
        <subject>Clustering</subject>
        <subject>Driving profiles</subject>
        <subject>Distributed clustering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">http://dl.acm.org/citation.cfm?id=2912148</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2912148</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331869</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/367059/2016_367059.postprint.pdf?id=people______%3A%3A269ff2defd6168394202eebbd7abc300</url>
        <url hostedBy="ACM Transactions on Intelligent Systems and Technology" rights="Closed Access">https://doi.org/10.1145/2912148</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331869/2/prod_367059-doc_168593.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331869&amp;bitstreamId=e564c7b5-7b84-4e3d-a4e6-58cd8f88b48c</url>
    </urls>
    <dois>
        <doi>10.1145/2912148</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Customer segmentation is one of the most traditional and valued tasks in customer relationship management (CRM). In this article, we explore the problem in the context of the car insurance industry, where the mobility behavior of customers plays a key role: Different mobility needs, driving habits, and skills imply also different requirements (level of coverage provided by the insurance) and risks (of accidents). In the present work, we describe a methodology to extract several indicators describing the driving profile of customers, and we provide a clustering-oriented instantiation of the segmentation problem based on such indicators. Then, we consider the availability of a continuous flow of fresh mobility data sent by the circulating vehicles, aiming at keeping our segments constantly up to date. We tackle a major scalability issue that emerges in this context when the number of customers is large-namely, the communication bottleneck-by proposing and implementing a sophisticated distributed monitoring solution that reduces communications between vehicles and company servers to the essential. We validate the framework on a large database of real mobility data coming from GPS devices on private cars. Finally, we analyze the privacy risks that the proposed approach might involve for the users, providing and evaluating a countermeasure based on data perturbation.</abstract>
    <source>ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (PRINT), vol. 8 (issue 1), pp. 14-26</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:627</infoId>
            <name>Nanni, Mirco</name>
            <orcid>0000-0003-3534-4332</orcid>
            <affiliation code="dnet:pers:627" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:23</infoId>
            <name>Trasarti, Roberto</name>
            <orcid>0000-0001-5316-6475</orcid>
            <affiliation code="dnet:pers:23" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
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        <inCollection>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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<record>
    <identifier>oai:it.cnr:prodotti:367060</identifier>
    <title>Enriching mobility data with linked open data</title>
    <creators>
        <creator>Ruback L</creator>
        <creator>Casanova Ma</creator>
        <creator>Raffaeta A</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
        <creator>Vidal V</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Settore INF/01 - Informatica</subject>
        <subject>Data interlinking</subject>
        <subject>Semantics</subject>
        <subject>Linked open data</subject>
        <subject>Trajectories</subject>
        <subject>Semantic trajectory</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari" rights="Open Access">http://hdl.handle.net/10278/3680293</url>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?id=2938550</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2938503.2938550</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2938503.2938550</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331870</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331870&amp;bitstreamId=802be2e0-2a1f-45eb-b762-1e891f5c9722</url>
    </urls>
    <dois>
        <doi>10.1145/2938503.2938550</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Recent research has pointed out the needs and advantages of the semantic enrichment of movement data, a process where trajectories are partitioned into homogeneous segments that are annotated with contextual information. However, the lack of a comprehensive and well-defined framework for the enrichment makes this process difficult and error-prone. In this paper, we therefore propose a conceptual framework for the semantic enrichment of movement data, which bene-fits from the emerging Web of Data (or Linked Open Data) both as a unifying formalism and as the source of contextual data, which can be greatly useful for trajectories enrichment. Moreover, the semantic structure of such sources makes it easier to share and process enriched trajectories. We illustrate the enrichment process by presenting a case study in the tourism domain.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:367063</identifier>
    <title>Activity-based carpooling with ComeWithMe</title>
    <creators>
        <creator>De Lira Monteiro V</creator>
        <creator orcid="0000-0003-4404-4147">Rinzivillo S</creator>
        <creator>Casario Times V</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Carpooling</subject>
        <subject>Activities</subject>
        <subject>Trajectories</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331873</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331873&amp;bitstreamId=d379ed9b-6e38-40f0-80f4-67f74a745fbd</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The interest in carpooling is increasing due to the need to reduce traffic and noise pollution. Most of the available approaches and systems are route oriented, where driver and passeggers are matched when the destination location is the same. ComeWithMe offers a new perspective: the destination is the intended activity instead of a location. This novel matching method is aimed to boost the possibilities of rides if passenger reaches a different location maintaining the activity. We conducted experiments using a real data set of trajectories and our results showed that the proposed matching algorithm improved the traditional carpooling approach in more than 80.0%.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:828</infoId>
            <name>Rinzivillo, Salvatore</name>
            <orcid>0000-0003-4404-4147</orcid>
            <affiliation code="dnet:pers:828" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
            <affiliation code="dnet:pers:828" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:367077</identifier>
    <title>Searching for data sources for the semantic enrichment of trajectories</title>
    <creators>
        <creator>Leme Lapp</creator>
        <creator orcid="0000-0002-1763-2966">Renso C</creator>
        <creator>Nunes Bp</creator>
        <creator>Lopes Gr</creator>
        <creator>Casanova Ma</creator>
        <creator>Vidal Vp</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Linked Open data</subject>
        <subject>Trajectory Semantic enrichment</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-48743-4_19</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-48743-4_19</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331887</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331887&amp;bitstreamId=038c8505-7b37-4f05-8504-99f34f03ef47</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-48743-4_19</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-48743-4_19</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The fast growing number of datasets available on the Web inspired researchers to propose innovative techniques to combine spatiotemporal data with contextual data. However, as the number of datasets has increased relatively fast, finding the most appropriate datasets for enrichment also became extremely difficult. This paper proposes an innovative approach to rank a set of datasets according to the likelihood that they contain relevant enrichments. The approach is based on the intuition that the sequence of places visited during a trajectory can induce the best datasets to enrich the trajectory. It relies on a supervised approach to learn rules of association between visited places and meaningful datasets.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1451</infoId>
            <name>Renso, Chiara</name>
            <orcid>0000-0002-1763-2966</orcid>
            <affiliation code="dnet:pers:1451" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:367078</identifier>
    <title>Polarized user and topic tracking in Twitter</title>
    <creators>
        <creator>Coletto M</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer Science - Social and Information Networks</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Social and Information Networks (cs.SI)</subject>
        <subject>Online Social Networks</subject>
        <subject>Topic Tracking</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1610.08686</url>
        <url hostedBy="arxiv.org" rights="Open Access">http://arxiv.org/pdf/1610.08686</url>
        <url hostedBy="dl.acm.org" rights="Restricted">http://dl.acm.org/citation.cfm?doid=2911451.2914716</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2911451.2914716</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1610.08686</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/2911451.2914716</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331888</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331888&amp;bitstreamId=4f4102da-3c9f-4151-8cfb-773461ce115e</url>
    </urls>
    <dois>
        <doi>10.1145/2911451.2914716</doi>
        <doi>10.48550/arxiv.1610.08686</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Digital traces of conversations in micro-blogging platforms and OSNs provide information about user opinion with a high degree of resolution. These information sources can be exploited to understand and monitor collective behaviors. In this work, we focus on polarization classes, i.e., those topics that require the user to side exclusively with one position. The proposed method provides an iterative classification of users and keywords: first, polarized users are identified, then polarized keywords are discovered by monitoring the activities of previously classified users. This method thus allows tracking users and topics over time. We report several experiments conducted on two Twitter datasets during political election time-frames. We measure the user classification accuracy on a golden set of users, and analyze the relevance of the extracted keywords for the ongoing political discussion.</abstract>
    <source/>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/654024/EU/SoBigData Research Infrastructure/SoBigData</infoId>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1145/2911451.2914716" url="https://dx.doi.org/10.1145/2911451.2914716">Polarized User and Topic Tracking in Twitter</dataset>
    </datasets>
    <citations>
        <citation>[1] L. A. Adamic and N. Glance. The political blogosphere and the 2004 us election: divided they blog. In Proc. of the 3rd Workshop on Link discovery, pages 36-43. ACM, 2005.</citation>
        <citation>[2] J. Allan. Topic detection and tracking: event-based information organization, volume 12. Springer Science &amp; Business Media, 2012.</citation>
        <citation>[3] M. Coletto, C. Lucchese, S. Orlando, and R. Perego. Electoral predictions with twitter: a machine-learning approach. IIR, 2015.</citation>
        <citation>[4] K. Garimella, G. De Francisci Morales, A. Gionis, and M. Mathioudakis. Quantifying controversy in social media. In ACM WSDM, pages 33-42, 2016.</citation>
        <citation>[5] D. Gayo-Avello, P. T. Metaxas, and E. Mustafaraj. Limits of electoral predictions using twitter. In ICWSM, 2011.</citation>
        <citation>[6] C. V. Gysel, B. Goethals, and M. de Rijke. Determining the presence of political parties in social circles. In AAAI ICWSM, 2015.</citation>
        <citation>[7] J. Lin, R. Snow, and W. Morgan. Smoothing techniques for adaptive online language models: topic tracking in tweet streams. In ACM SIGKDD, pages 422-429. ACM, 2011.</citation>
        <citation>[8] A. Makazhanov, D. Rafiei, and M. Waqar. Predicting political preference of twitter users. Social Network Analysis and Mining, 4(1):1-15, 2014.</citation>
        <citation>[9] M. Mathioudakis and N. Koudas. Twittermonitor: trend detection over the twitter stream. In Proc. of the 2010 ACM SIGMOD, pages 1155-1158. ACM, 2010.</citation>
        <citation>[10] A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. ICWSM, 10:178-185, 2010.</citation>
        <citation>[11] F. Walls, H. Jin, S. Sista, and R. Schwartz. Topic detection in broadcast news. In Proceedings of the DARPA broadcast news workshop, pages 193-198, 1999.</citation>
    </citations>
    <collections>
        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:367079</identifier>
    <title>Summarizing linked data RDF graphs using approximate graph pattern mining</title>
    <creators>
        <creator>Zneika M</creator>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator>Vodislav D</creator>
        <creator>Kotzinos D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Linked Open Data</subject>
        <subject>RDF Summarization</subject>
        <subject>Query Processing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5441/002/edbt.2016.86</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/331889</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/331889/1/prod_367079-doc_121331.pdf</url>
    </urls>
    <dois>
        <doi>10.5441/002/edbt.2016.86</doi>
        <doi>http://dx.doi.org/10.5441/002/edbt.2016.86</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The Linked Open Data (LOD) cloud brings together infor- mation described in RDF and stored on the web in (possi- bly distributed) RDF Knowledge Bases (KBs). The data in these KBs are not necessarily described by a known schema and many times it is extremely time consuming to query all the interlinked KBs in order to acquire the necessary in- formation. To tackle this problem, we propose a method of summarizing large RDF KBs using approximate RDF graph patterns and calculating the number of instances covered by each pattern. Then we transform the patterns to an RDF schema that describes the contents of the KB. Thus we can then query the RDF graph summary to identify whether the necessary information is present and if so its size, before deciding to include it in a federated query result.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:367080</identifier>
    <title>Evaluating top-K approximate patterns via text clustering</title>
    <creators>
        <creator orcid="0000-0002-2545-0425">Lucchese C</creator>
        <creator>Orlando S</creator>
        <creator orcid="0000-0001-7189-4724">Perego R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Pattern Mining</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="Lecture Notes in Computer Science" rights="Closed Access">https://doi.org/10.1007/978-3-319-43946-4_8</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-43946-4_8</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/331890</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/331890&amp;bitstreamId=619519f2-7348-4eaf-be63-45afa8066509</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-43946-4_8</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-43946-4_8</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>This work investigates how approximate binary patterns can be objectively evaluated by using as a proxy measure the quality achieved by a text clustering algorithm, where the document features are derived from such patterns. Specifically, we exploit approximate patterns within the well-known FIHC (Frequent Itemset-based Hierarchical Clustering) algorithm, which was originally designed to employ exact frequent itemsets to achieve a concise and informative representation of text data. We analyze different state-of-the-art algorithms for approximate pattern mining, in particular we measure their ability in extracting patterns that well characterize the document topics in terms of the quality of clustering obtained by FIHC. Extensive and reproducible experiments, conducted on publicly available text corpora, show that approximate itemsets provide a better representation than exact ones.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:749</infoId>
            <name>Lucchese, Claudio</name>
            <orcid>0000-0002-2545-0425</orcid>
            <affiliation code="dnet:pers:749" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1347</infoId>
            <name>Perego, Raffaele</name>
            <orcid>0000-0001-7189-4724</orcid>
            <affiliation code="dnet:pers:1347" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:367118</identifier>
    <title>An analytical framework to nowcast well-being using mobile phone data</title>
    <creators>
        <creator orcid="0000-0002-1547-6007">Pappalardo L</creator>
        <creator>Vanhoof M</creator>
        <creator orcid="0000-0003-1208-8321">Gabrielli L</creator>
        <creator>Smoreda Z</creator>
        <creator orcid="0000-0003-4801-3225">Pedreschi D</creator>
        <creator orcid="0000-0003-3099-3835">Giannotti F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Modeling and Simulation</subject>
        <subject>Computer Science - Computers and Society</subject>
        <subject>Social and Information Networks (cs.SI)</subject>
        <subject>Information Systems</subject>
        <subject>Social networks</subject>
        <subject>FOS: Physical sciences</subject>
        <subject>Complex systems</subject>
        <subject>Human mobility</subject>
        <subject>Economic development</subject>
        <subject>Economic data</subject>
        <subject>Forecasting</subject>
        <subject>Computers and Society (cs.CY)</subject>
        <subject>Computer Science - Social and Information Networks</subject>
        <subject>Computational Theory and Mathematics</subject>
        <subject>FOS: Computer and information sciences</subject>
        <subject>Computer Science Applications</subject>
        <subject>Physics - Physics and Society</subject>
        <subject>Statistics - Applications</subject>
        <subject>Applications (stat.AP)</subject>
        <subject>Applied Mathematics</subject>
        <subject>Physics and Society (physics.soc-ph)</subject>
        <subject>Nowcasting</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1606.06279</url>
        <url hostedBy="International Journal of Data Science and Analytics" rights="Open Access">https://doi.org/10.1007/s41060-016-0013-2</url>
        <url hostedBy="International Journal of Data Science and Analytics" rights="Open Access">https://link.springer.com/content/pdf/10.1007%2Fs41060-016-0013-2.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/367118/2016_367118.published.pdf?id=people______%3A%3A96bc96eab3f4e2d0153f32a70609db48</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1606.06279</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/s41060-016-0013-2</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/332337</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/332337&amp;bitstreamId=afe9e63e-9d06-4a32-bc1e-a1e63227cec7</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/article/10.1007/s41060-016-0013-2</url>
    </urls>
    <dois>
        <doi>10.1007/s41060-016-0013-2</doi>
        <doi>10.48550/arxiv.1606.06279</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>An intriguing open question is whether measurements derived from Big Data recording human activities can yield high-fidelity proxies of socio-economic development and well-being. Can we monitor and predict the socio-economic development of a territory just by observing the behavior of its inhabitants through the lens of Big Data? In this paper, we design a data-driven analytical framework that uses mobility measures and social measures extracted from mobile phone data to estimate indicators for socio-economic development and well-being. We discover that the diversity of mobility, defined in terms of entropy of the individual users' trajectories, exhibits (i) significant correlation with two different socio-economic indicators and (ii) the highest importance in predictive models built to predict the socio-economic indicators. Our analytical framework opens an interesting perspective to study human behavior through the lens of Big Data by means of new statistical indicators that quantify and possibly "nowcast" the well-being and the socio-economic development of a territory.</abstract>
    <source>INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, vol. 2 (issue 1), pp. 75-92</source>
    <projects>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/H2020/641191/EU/Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories/CIMPLEX</infoId>
            <openaireId>corda__h2020::1a113f2db56b7bb0018b2d4bad6bf7cb</openaireId>
            <code>641191</code>
            <name>Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories</name>
            <acronym>CIMPLEX</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <infoId>info:eu-repo/grantAgreement/EC/FP7/609042/EU/Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems/PETRA</infoId>
            <openaireId>corda_______::495511255a2aaee437f2ceca3f53c97a</openaireId>
            <code>609042</code>
            <name>Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation systems</name>
            <acronym>PETRA</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
        <project>
            <openaireId>corda__h2020::e7f5e7755409fc74eea9d168ab795634</openaireId>
            <code>654024</code>
            <name>SoBigData Research Infrastructure</name>
            <acronym>SoBigData</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:186</infoId>
            <name>Gabrielli, Lorenzo</name>
            <orcid>0000-0003-1208-8321</orcid>
            <affiliation code="dnet:pers:186" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:685</infoId>
            <name>Giannotti, Fosca</name>
            <orcid>0000-0003-3099-3835</orcid>
            <affiliation code="dnet:pers:685" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:234</infoId>
            <name>Pappalardo, Luca</name>
            <orcid>0000-0002-1547-6007</orcid>
            <affiliation code="dnet:pers:234" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:847</infoId>
            <name>Pedreschi, Dino</name>
            <orcid>0000-0003-4801-3225</orcid>
            <affiliation code="dnet:pers:847" type="Laboratorio" groupAcronym="KDD" group="Knowledge Discovery and Data Mining (2002-ongoing)"/>
        </cnrPerson>
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    <datasets>
        <dataset doi="10.1007/978-3-319-63962-8_259-1" url="https://dx.doi.org/10.1007/978-3-319-63962-8_259-1">Big Data in Mobile Networks</dataset>
        <dataset doi="10.1007/978-3-319-66284-8_35" url="https://dx.doi.org/10.1007/978-3-319-66284-8_35">Fast Estimation of Privacy Risk in Human Mobility Data</dataset>
    </datasets>
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    <identifier>oai:it.cnr:prodotti:367254</identifier>
    <title>Analyzing the Impact of Failures in the Electric Power Distribution Grid</title>
    <creators>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator>Masetti G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Electrical Power Systems</subject>
        <subject>Performability analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/ladc.2016.23</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/ladc.2016.23</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329063</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7781841/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329063&amp;bitstreamId=7b310d49-8057-4d11-89f2-ee866fa44ff4</url>
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        <doi>10.1109/ladc.2016.23</doi>
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    <bestRights>Restricted</bestRights>
    <abstract>The electric power system is among the most critical infrastructures, being a support for many of them and for key resource sectors. In fact, the complex, digital world around us requires electric power for fundamental aspects of most business and consumer activities. Therefore, it is paramount to assure the correct power supply. Following the increasing trend in electricity generation from renewable sources, pushed by the need to meet sustainable energy goals in many countries, more sophisticated control strategies are being adopted to regulate the operation of the electric power system. Analyzing their effectiveness and ability to face operation in critical scenarios, such as in presence of failures, is certainly a relevant aspect to investigate. In this paper we focus on the medium voltage grid control and adopt a stochastic modeling framework appropriate to analyze voltage control strategies in presence of selected failure scenarios. The impact of the addressed failures on indicators of voltage stability, representative of the resilience shown by the analyzed system, is assessed in a real-world reference grid. Variability in both generation and loads is covered, to reflect realistic contexts where the addressed system is called to operate.</abstract>
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            <name>Di Giandomenico, Felicita</name>
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    <identifier>oai:it.cnr:prodotti:367256</identifier>
    <title>Steps towards accessing digital libraries using narratives</title>
    <creators>
        <creator orcid="0000-0003-0069-7429">Meghini C</creator>
        <creator>Bartalesi V</creator>
        <creator orcid="0000-0002-5512-2158">Metilli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Narratology</subject>
        <subject>Digital Libraries</subject>
        <subject>Semantic Web</subject>
        <subject>Ontologies</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
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        <url hostedBy="ceur-ws.org" rights="Restricted">http://ceur-ws.org/Vol-1772/</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329065</url>
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    <bestRights>Restricted</bestRights>
    <abstract>One of the main problems of the current Digital Libraries (DLs) is the limitation of the informative services offered to the users. Indeed, DLs provide simple search functionalities which return a list of the information objects contained in them. No semantic relation among the returned objects is usually reported which can help the user in obtaining a more complete knowledge on the subject of the search. The introduction of the Semantic Web has the potential of improving the search functionalities of DLs. Many cultural institutions have represented their metadata into formal descriptions encoded by means of formal languages such as RDF and OWL. In this context, the aim of our research is to introduce the narrative as a new search functionality which does not only return a list of objects but presents a narrative, composed of events that are linked to the objects of the library and endowed with a set of semantic relations connecting these events into a meaningful semantic network. The paper presents the first theoretical achievements on a model for representing narratives.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS, pp. 10-17. Genova, Italy, 28 November 2016</source>
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            <name>Pooling Activities, Resources and Tools for Heritage E-research Networking, Optimization and Synergies</name>
            <acronym>PARTHENOS</acronym>
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            <name>Meghini, Carlo</name>
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            <name>Metilli, Daniele</name>
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<record>
    <identifier>oai:it.cnr:prodotti:367263</identifier>
    <title>Improving voltage control in MV smart grids</title>
    <creators>
        <creator>Xiao J</creator>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator>Pimentel A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Electrical Smart Grid</subject>
        <subject>Model Based Simulations</subject>
        <subject>Voltage Control Delay</subject>
        <subject>Soft Bound</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="NARCIS" rights="Open Access">https://dare.uva.nl/personal/pure/en/publications/improving-voltage-control-in-mv-smart-grids(89db3943-db0b-4893-ad68-264bd52bca62).html</url>
        <url hostedBy="NARCIS" rights="Open Access">https://doi.org/10.1109/smartgridcomm.2016.7778791</url>
        <url hostedBy="pure.uva.nl" rights="Open Access">https://pure.uva.nl/ws/files/42332869/Improving_Voltage_Control_in_MV_Smart_Grids.pdf</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1109/smartgridcomm.2016.7778791</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329072</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Restricted">http://ieeexplore.ieee.org/document/7778791/</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329072&amp;bitstreamId=aaf0682b-d938-4ff4-aadd-cfc7c89e7d26</url>
    </urls>
    <dois>
        <doi>10.1109/smartgridcomm.2016.7778791</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Smart grids aim at evolving the traditional electrical grid system by making increasing use of sophisticated control and communication network technology, to properly deal with the high penetration of controllable assets, such as distributed generators and flexible loads, and their associated challenges. Since electrical grids are critical infrastructures, control strategies regulating their operation need to face both efficiency and cost aspects, as well as resilience related ones in order to assure reliable service. Keeping the focus on the medium voltage control functionality, in this paper we present a study of the event-triggered voltage control algorithm to satisfy voltage control requirements. In particular, the opportunity to introduce soft bounds to improve preserving voltage values in bounds notwithstanding the effect of control delay is explored in a variety of scenarios, including fault presence due to attacks to the communication network. Through a developed stochastic model-based framework, quantitative analyses are performed on a realistic MV testbed grid, to demonstrate the feasibility and utility of the proposed contribution.</abstract>
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            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:367399</identifier>
    <title>NGDBSCAN: scalable density based clustering for arbitrary data</title>
    <creators>
        <creator>Lulli A.</creator>
        <creator>Dell'Amico M.</creator>
        <creator>Michiardi P.</creator>
        <creator orcid="0000-0002-8179-8215">Ricci L.</creator>
    </creators>
    <publisher>Association for Computing Machinery, New York, NY , Stati Uniti d'America</publisher>
    <subjects>
        <subject>Clustering</subject>
        <subject>General Engineering</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::a35a82e5f2708706da535f6b4d56dbad</documentPage>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.14778/3021924.3021932</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/367399/2016_%20367399.published.pdf?id=people______%3A%3Aa35a82e5f2708706da535f6b4d56dbad</url>
        <url hostedBy="www.vldb.org" rights="Open Access">http://www.vldb.org/pvldb/vol10.html</url>
        <url hostedBy="Proceedings of the VLDB Endowment" rights="not available">https://doi.org/10.14778/3021924.3021932</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-85020401061&amp;partnerID=MN8TOARS</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/367399</url>
    </urls>
    <dois>
        <doi>10.14778/3021924.3021932</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>We present NG-DBSCAN, an approximate density-based clustering algorithm that can operate with arbitrary similarity metrics. The distributed design of our algorithm makes it scalable to very large datasets; its approximate nature makes it fast, yet capable of producing high quality clustering results. We provide a detailed overview of the various steps of NG-DBSCAN, together with their analysis. Our results, which we obtain through an extensive experimental campaign with real and synthetic data, substantiate our claims about NG-DBSCAN's performance and scalability.</abstract>
    <source>Proceedings of the VLDB Endowment 10 (2016): 157–168. doi:10.14778/3021924.3021932</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:397</infoId>
            <name>Lulli, Alessandro</name>
            <affiliation code="dnet:pers:397" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:863</infoId>
            <name>Ricci, Laura</name>
            <orcid>0000-0002-8179-8215</orcid>
            <affiliation code="dnet:pers:863" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:367414</identifier>
    <title>Current flow betweenness centrality with Apache Spark</title>
    <creators>
        <creator>Bertolucci M.</creator>
        <creator>Lulli A.</creator>
        <creator orcid="0000-0002-8179-8215">Ricci L.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Centrality measure</subject>
        <subject>Thinking like a vertex</subject>
        <subject>Apache Spark</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <documentPage>https://openportal.isti.cnr.it/doc?id=people______::3a4125191bc2815e18e64aa43c09d17e</documentPage>
    <urls>
        <url hostedBy="arpi.unipi.it" rights="Open Access">https://arpi.unipi.it/bitstream/11568/766208/1/Duckweedef.pdf</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/367414/2016_367414.postprint.pdf?id=people______%3A%3A3a4125191bc2815e18e64aa43c09d17e</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-49583-5_21</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-49583-5_21</url>
        <url hostedBy="link.springer.com" rights="Restricted">http://link.springer.com/chapter/10.1007/978-3-319-49583-5_21</url>
        <url hostedBy="CNR ExploRA" rights="Unknown">https://publications.cnr.it/doc/367414</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-49583-5_21</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The identification of the most central nodes of a graph is a fundamental task of data analysis. The current flow betweenness is a centrality index which considers how the information flows along all the paths of a graph, not only on the shortest ones. Finding the exact value of the current flow betweenness is computationally expensive for large graphs, so the definition of algorithms returning an approximation of this measure is mandatory. In this paper we propose a solution, based on the Gather Apply Scatter model, that estimates the current flow betweenness in a distributed setting using the Apache Spark framework. The experimental evaluation shows that the algorithm achieves high correlation with the exact value of the index and outperforms other algorithms.</abstract>
    <source>ICA3PP 2016 - Algorithms and Architectures for Parallel Processing. 16th International Conference, pp. 270–278, Granada, Spain, 14-16 December 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:397</infoId>
            <name>Lulli, Alessandro</name>
            <affiliation code="dnet:pers:397" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:863</infoId>
            <name>Ricci, Laura</name>
            <orcid>0000-0002-8179-8215</orcid>
            <affiliation code="dnet:pers:863" type="Laboratorio" groupAcronym="HPC" group="High Performance Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>CDS074</code>
            <name/>
            <acronym/>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:367415</identifier>
    <title>Safety assessment of masonry constructions via numerical tools: the NOSA-ITACA code</title>
    <creators>
        <creator orcid="0000-0002-4071-5794">Binante V</creator>
        <creator orcid="0000-0002-7358-5607">Girardi M</creator>
        <creator>Lucchesi M</creator>
        <creator orcid="0000-0002-2467-569X">Padovani C</creator>
        <creator orcid="0000-0002-3416-771X">Pellegrini D</creator>
        <creator>Margherita P</creator>
    </creators>
    <publisher>Edizioni Scientifiche Italiane</publisher>
    <subjects>
        <subject>Masonry buildings</subject>
        <subject>Nonlinear elasticity</subject>
        <subject>Numerical methods</subject>
        <subject>Safety assessment</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/355299</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/367415/2016_367415.published.pdf?id=people______%3A%3A18533435b0e805e54b626acfa7204f92</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/355299/1/prod_367415-doc_121550.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This paper describes the main features of the NOSA-ITACA code, software for the structural analysis of masonry buildings of historical interest resulting from integration of the finite element code NOSA and the open-source platform SALOME. After a short description of the constitutive equation used to model the mechanical behaviour of masonry constructions, some details are given concerning the code's implementation. Then, the result of a static analysis of the "Voltone" in Livorno, performed via the NOSAITACA code, is presented with the aim of highlighting the important role of mathematical models and numerical tools in assessing the safety of historical masonry buildings.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:378</infoId>
            <name>Binante, Vincenzo</name>
            <orcid>0000-0002-4071-5794</orcid>
            <affiliation code="dnet:pers:378" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:76</infoId>
            <name>Girardi, Maria</name>
            <orcid>0000-0002-7358-5607</orcid>
            <affiliation code="dnet:pers:76" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
            <affiliation code="dnet:pers:76" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:766</infoId>
            <name>Lucchesi, Massimiliano</name>
            <affiliation code="dnet:pers:766" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1106</infoId>
            <name>Padovani, Cristina</name>
            <orcid>0000-0002-2467-569X</orcid>
            <affiliation code="dnet:pers:1106" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:430</infoId>
            <name>Pellegrini, Daniele</name>
            <orcid>0000-0002-3416-771X</orcid>
            <affiliation code="dnet:pers:430" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:377</infoId>
            <name>Porcelli, Margherita</name>
            <orcid>0000-0003-0183-1204</orcid>
            <affiliation code="dnet:pers:377" type="Laboratorio" groupAcronym="MMS" group="Mechanics of Materials and Structures (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:367417</identifier>
    <title>Efficient non-anonymous composition operator for modeling complex dependable systems</title>
    <creators>
        <creator orcid="0000-0002-0889-1990">Chiaradonna S</creator>
        <creator orcid="0000-0002-8760-7299">Di Giandomenico F</creator>
        <creator>Masetti G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Modelling and Evaluation Tools</subject>
        <subject>Stoc</subject>
        <subject>Non-Anonymous Replication</subject>
        <subject>Composition Operators</subject>
        <subject>Time Overhead</subject>
        <subject>Complex Critical Systems</subject>
        <subject>Dependencies Graph</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="arxiv.org" rights="Open Access">https://arxiv.org/abs/1608.05874</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/355301</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/355301/1/prod_367417-doc_121552.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>A new model composer is proposed to automatically generate non-anonymous model replicas in the context of performability and dependability evaluation. It is a state-sharing composer that extends the standard anonymous replication composer in order to share the state of a replica among a set of other specific replicas or among the replica and another external model. This new composition operator aims to improve expressiveness and performance with respect to the standard anonymous replicator, namely the one adopted by the Mobius modeling framework.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1427</infoId>
            <name>Chiaradonna, Silvano</name>
            <orcid>0000-0002-0889-1990</orcid>
            <affiliation code="dnet:pers:1427" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1365</infoId>
            <name>Di Giandomenico, Felicita</name>
            <orcid>0000-0002-8760-7299</orcid>
            <affiliation code="dnet:pers:1365" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_48</code>
            <name>04.02 Abstract in Atti di convegno</name>
            <acronym>04.02 Abstract in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:368816</identifier>
    <title>A stochastic solution with Gaussian stationary increments of the symmetric space-time fractional diffusion equation</title>
    <creators>
        <creator>Pagnini G</creator>
        <creator orcid="0000-0002-1036-4583">Paradisi P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Mathematical Physics (math-ph)</subject>
        <subject>60G22</subject>
        <subject>60G20</subject>
        <subject>Mathematical Physics</subject>
        <subject>Anomalous diffusion</subject>
        <subject>26A33</subject>
        <subject>FOS: Mathematics</subject>
        <subject>Fractional diffusion equation</subject>
        <subject>82C31</subject>
        <subject>Statistical Mechanics (cond-mat.stat-mech)</subject>
        <subject>FOS: Physical sciences</subject>
        <subject>Probability (math.PR)</subject>
        <subject>Analysis</subject>
        <subject>Gaussian processes</subject>
        <subject>Mathematics - Probability</subject>
        <subject>Self-similar stochastic process</subject>
        <subject>Signal processing</subject>
        <subject>Condensed Matter - Statistical Mechanics</subject>
        <subject>Applied Mathematics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="arXiv.org e-Print Archive" rights="Open Access">http://arxiv.org/abs/1603.05300</url>
        <url hostedBy="Fractional Calculus and Applied Analysis" rights="Open Access">http://arxiv.org/pdf/1603.05300</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1515/fca-2016-0022</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/327898</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/368816/2016_368816.postprint.pdf?id=people______%3A%3A0d20ea85de6f7d7e1df691054fa94433</url>
        <url hostedBy="www.degruyter.com" rights="Open Access">https://www.degruyter.com/view/j/fca.2016.19.issue-2/fca-2016-0022/fca-2016-0022.xml</url>
        <url hostedBy="Fractional Calculus and Applied Analysis" rights="Closed Access">https://doi.org/10.1515/fca-2016-0022</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.48550/arxiv.1603.05300</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/327898/2/prod_368816-doc_166327.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/327898&amp;bitstreamId=7520f518-7730-4eb9-bfb8-2a12691c5cee</url>
    </urls>
    <dois>
        <doi>10.1515/fca-2016-0022</doi>
        <doi>10.48550/arxiv.1603.05300</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The stochastic solution with Gaussian stationary increments is established for the symmetric space-time fractional diffusion equation when 0 &lt; ? &lt; ? &lt;= 2, where 0 &lt; ? &lt;= 1 and 0 &lt; ? &lt;= 2 are the fractional derivation orders in time and space, respectively. This solution is provided by imposing the identity between two probability density functions resulting (i) from a new integral representation formula of the fundamental solution of the symmetric space-time fractional diffusion equation and (ii) from the product of two independent random variables. This is an alternative method with respect to previous approaches such as the scaling limit of the continuous time random walk, the parametric subordination and the subordinated Langevin equation. A new integral representation formula for the fundamental solution of the space-time fractional diffusion equation is firstly derived. It is then shown that, in the symmetric case, a stochastic solution can be obtained by a Gaussian process with stationary increments and with a random wideness scale variable distributed according to an arrangement of two extremal Lévy stable densities. This stochastic solution is self-similar with stationary increments and uniquely defined in a statistical sense by the mean and the covariance structure. Numerical simulations are carried out by choosing as Gaussian process the fractional Brownian motion. Sample paths and probability densities functions are shown to be in agreement with the fundamental solution of the symmetric space-time fractional diffusion equation.</abstract>
    <source>FRACTIONAL CALCULUS &amp; APPLIED ANALYSIS (ONLINE), vol. 19 (issue 2), pp. 408-440</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1528</infoId>
            <name>Paradisi, Paolo</name>
            <orcid>0000-0002-1036-4583</orcid>
            <affiliation code="dnet:pers:1528" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
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    <title>Model-based learning assessment management</title>
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        <creator orcid="0000-0002-4864-2219">Lonetti F.</creator>
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        <creator>Zribi S.</creator>
        <creator>Jorquera T.</creator>
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        <subject>Model-based learning</subject>
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    <abstract>Model-based simulation and monitoring are becoming part of advanced learning environments. In this paper, we propose a model-based simulation and monitoring framework for management of learning assessment and we describe its architecture and main functionalities. The proposed framework allows user-friendly learning simulation with a strong support for collaboration and social interactions. Moreover, it monitors the learners' behavior during simulation execution and it is able to compute the learning scores useful for the learner knowledge assessment. The preliminary experimental feedback of the evaluation of the simulation and monitoring framework inside a real environment is also reported.</abstract>
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    <abstract>This paper details on the participation of ISTI-CNR to task 4 of Semeval 2016. Among the five subtasks, special attention has been paid to the five-point scale quantification subtask. The quantification method we propose is based on the observation that a standard document-by-document regression method usually has a bias towards assigning high prevalence labels. Our method models such bias with a linear model, in order to compensate it and to produce the quantification estimates.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:282</infoId>
            <name>Esuli, Andrea</name>
            <orcid>0000-0002-5725-4322</orcid>
            <affiliation code="dnet:pers:282" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
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    <citations/>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:368821</identifier>
    <title>Archaeology oriented optical acquisitions through MARTA AUV during ARROWS European project demonstration</title>
    <creators>
        <creator>Allotta B</creator>
        <creator>Costanzi R</creator>
        <creator>Ridolfi A</creator>
        <creator orcid="0000-0002-4872-9541">Reggiannini M</creator>
        <creator orcid="0000-0001-5550-9881">Tampucci M</creator>
        <creator>Scaradozzi D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Computer vision</subject>
        <subject>Structure from motion</subject>
        <subject>Underwater Robotics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1109/oceans.2016.7761127</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/327903</url>
        <url hostedBy="ieeexplore.ieee.org" rights="Open Access">http://ieeexplore.ieee.org/document/7761127/</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/368821/2016_368821.postprint.pdf?id=people______%3A%3A0a1929b5704739a16be96f703d2252f7</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.1109/oceans.2016.7761127</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/327903/2/prod_368821-doc_181164.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/327903&amp;bitstreamId=8dc49fe1-b0b5-4ac0-8fdd-91e35a67448d</url>
    </urls>
    <dois>
        <doi>10.1109/oceans.2016.7761127</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The three-years European FP7 ARROWS project (ARchaeological RObot systems for the World's Seas) concluded at the end of August 2015. A heterogeneous team of cooperating AUVs has been created in the framework of ARROWS: these are both new prototypes and well known commercial vehicles. In the paper MARTA modular AUV is described: MARTA is a new prototype specifically designed during the project. Its navigation and payload capabilities are discussed and some of the results, mainly optical acquisitions for the archaeologists, reached during the first official demo of the ARROWS European project (Sicily, Italy, May and June 2015) are reported and commented.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::93127392c7c9f47f163db122e444629c</openaireId>
            <code>308724</code>
            <name>ARchaeological RObot systems for the World's Seas</name>
            <acronym>ARROWS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:168</infoId>
            <name>Reggiannini, Marco</name>
            <orcid>0000-0002-4872-9541</orcid>
            <affiliation code="dnet:pers:168" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:832</infoId>
            <name>Tampucci, Marco</name>
            <orcid>0000-0001-5550-9881</orcid>
            <affiliation code="dnet:pers:832" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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            <acronym>04 Contributo in convegno</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:368822</identifier>
    <title>Design of a simulation framework for model-based learning</title>
    <creators>
        <creator>Zribi S.</creator>
        <creator orcid="0000-0001-5502-303X">Calabrò A.</creator>
        <creator orcid="0000-0002-4864-2219">Lonetti F.</creator>
        <creator orcid="0000-0003-4223-8036">Marchetti E.</creator>
        <creator>Jorquera T.</creator>
        <creator>Lorré J.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Business process</subject>
        <subject>Simulation</subject>
        <subject>Model-based Learning</subject>
        <subject>Business Process</subject>
        <subject>Model-based learning</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.5220/0005688606310639</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/327904</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/368822/2016_%20368822.published.pdf?id=people______%3A%3A486868a0f5256d193b0c9a60f07d22be</url>
        <url hostedBy="www.scitepress.org" rights="Open Access">https://www.scitepress.org/PublicationsDetail.aspx?ID=tPzSXDrfbXA=&amp;t=1</url>
        <url hostedBy="doi.org" rights="not available">https://doi.org/10.5220/0005688606310639</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/327904/1/prod_368822-doc_122442.pdf</url>
        <url hostedBy="www.scopus.com" rights="not available">http://www.scopus.com/inward/record.url?eid=2-s2.0-84969975019&amp;partnerID=MN8TOARS</url>
    </urls>
    <dois>
        <doi>10.5220/0005688606310639</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In model-driven learning, simulation of Business Process is a key step for improving the learners's skills and enhancing teaching performance. In this paper, we provide the architectural design and the main functionalities of a model-based learning simulation framework. The main objectives of the proposed framework are: i) enable user-friendly learning simulation with a strong support for collaboration and social interactions; ii) provide a process-driven learning environment that allows emulation of the learner behavior when no learners are available to be involved on the simulation; iii) include event-based monitoring aiming at providing feedbacks for the learner assessment.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::8b7084141c5b0cb265ab21dc3c29ccd1</openaireId>
            <code>619583</code>
            <name>Model-Based Social Learning for Public Administrations</name>
            <acronym>LEARN PAD</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:129</infoId>
            <name>Calabrò, Antonello</name>
            <orcid>0000-0001-5502-303X</orcid>
            <affiliation code="dnet:pers:129" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:388</infoId>
            <name>Lonetti, Francesca</name>
            <orcid>0000-0002-4864-2219</orcid>
            <affiliation code="dnet:pers:388" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:639</infoId>
            <name>Marchetti, Eda</name>
            <orcid>0000-0003-4223-8036</orcid>
            <affiliation code="dnet:pers:639" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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            <acronym>04 Contributo in convegno</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:368823</identifier>
    <title>Copia fax-simile o reinterpretazione? Un confronto dei rilievi 3D del marmo e del modello del Ratto delle Sabine</title>
    <creators>
        <creator orcid="0000-0002-5832-680X">Callieri M</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
        <creator>Tucci G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3d scanning</subject>
        <subject>Cultural heritage</subject>
        <subject>Shape comparison</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Contribution to book</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/327905</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/327905&amp;bitstreamId=761ff3f9-db94-4cae-bf76-5535164965fe</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The paper presents the results of a shape comparison experience, focusing on the Ratto delle Sabine by Gianbologna. We compared the marble statue with the gipsum bozzetto (prototype).</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1547</infoId>
            <name>Callieri, Marco</name>
            <orcid>0000-0002-5832-680X</orcid>
            <affiliation code="dnet:pers:1547" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
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            <name>02 Contributo in Volume</name>
            <acronym>02 Contributo in Volume</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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            <acronym>02.01 Contributo in volume (Capitolo o Saggio)</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:368828</identifier>
    <title>SEMEOTICONS - Algorithms and methods for facial expression analysis and psycho-physical status evaluation - Final release</title>
    <creators>
        <creator>Chiarugi F</creator>
        <creator>Christinaki E</creator>
        <creator>Giannakakis G</creator>
        <creator>Kazantzaki E</creator>
        <creator>Manousos D</creator>
        <creator>Pediaditis M</creator>
        <creator>Tsiknakis M</creator>
        <creator>Danielis A</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator orcid="0000-0002-6752-6918">Giorgi D</creator>
        <creator>Raccichini G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Face detec</subject>
        <subject>Facial expression</subject>
        <subject>Emotional analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/327910</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/327910&amp;bitstreamId=2c425fc1-38b8-420d-9a67-1714ade072c9</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Stress, anxiety and fatigue have impact both on the physical and mental health. Stress and anxiety for example are implicated in the onset or progression of immunological, cardiovascular, circulatory or neurodegenerative diseases. Therefore, they have been included ab initio into the list of factors that need to be assessed for a successful health monitoring in the context of SEMEOTICONS. This deliverable presents the outcome of the work of Tasks 5.3 and 5.4, which includes the research, development and implementation of non-intrusive measurement methods of features describing stress, anxiety and fatigue. These methods take advantage of the information of colour and motion of the human face as captured by a video camera. The extracted features describe eye lid activity and opening, eye gaze and eye bags, dark circles, head motion, mouth activity and yawning, the validity of which has been studied thoroughly.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:943</infoId>
            <name>Giorgi, Daniela</name>
            <orcid>0000-0002-6752-6918</orcid>
            <affiliation code="dnet:pers:943" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:426</infoId>
            <name>Raccichini, Giovanni</name>
            <affiliation code="dnet:pers:426" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:368830</identifier>
    <title>SEMEOTICONS - Validation report on Wize Mirror accuracy vs traditional measures</title>
    <creators>
        <creator orcid="0000-0003-2022-0804">Colantonio S</creator>
        <creator orcid="0000-0002-1931-0282">Coppini G</creator>
        <creator orcid="0000-0002-5718-8935">Morales M</creator>
        <creator>Zuccalà V C</creator>
        <creator orcid="0000-0003-3281-7229">Favilla R</creator>
        <creator orcid="0000-0002-7640-455X">Mazzarisi A</creator>
        <creator orcid="0000-0003-3467-7362">Bastiani L</creator>
        <creator>De Maria R</creator>
        <creator>Spagnuolo E</creator>
        <creator orcid="0009-0004-6115-5396">Luppi C</creator>
        <creator>Parolini M</creator>
        <creator>Feugier N</creator>
        <creator>Nazare J</creator>
        <creator>Normand S</creator>
        <creator>Laville M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Data modeling</subject>
        <subject>Data integration</subject>
        <subject>Validation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/329564</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/329564&amp;bitstreamId=a9793629-8219-4400-91b3-3717b37fa921</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This report describes the work carried out in Task 9.2 and aims a) to summarize the data collected during the Wize Mirror (WM) validation campaign in WP9 and b) to outline the main results obtained from data analysis. In this framework, this reports provides: 1. A description of all data collected in the three validation sites; 2. Statistical analysis of data in relation to reference measurements; 3. Analysis of correlation of the SEMEOTICONS Wellness Index (WI) with validated medical scores.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:815</infoId>
            <name>Colantonio, Sara</name>
            <orcid>0000-0003-2022-0804</orcid>
            <affiliation code="dnet:pers:815" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
            <affiliation code="dnet:pers:815" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
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            <acronym>08 Report e Working Paper</acronym>
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            <acronym>08.01 Rapporto di progetto</acronym>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:368854</identifier>
    <title>SEMEOTICONS - SW Applications and Services: final Release of the applications and services</title>
    <creators>
        <creator>Vitali I</creator>
        <creator>Nicoletta A</creator>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Software and hardware design</subject>
        <subject>Tool</subject>
        <subject>User-centric application</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/330008</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/330008&amp;bitstreamId=e2d0f8a3-4864-4c7e-b350-0f96fa2814a4</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The final version of the released software here described preserves the communication structure among the system analysis modules that was described in D7.2.1. However, differently from D7.1.2, we defined an improved user interaction flow, also based on a completely revisited GUI. The final GUI consists of three main panels (see D7.1.2) that were designed assuming the landscape orientation of the mirror, covering all the screen area, and implementing User eXperience (UX) touch-screen solutions to easily manipulate graphical elements with spontaneous and immediate hand gestures.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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            <acronym>08 Report e Working Paper</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:368855</identifier>
    <title>SEMEOTICONS - Software integration report</title>
    <creators>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0003-3281-7229">Favilla R</creator>
        <creator>Giannakakis G</creator>
        <creator>Manousos D</creator>
        <creator>Pediaditis M</creator>
        <creator>Larsson M</creator>
        <creator>Henriquez P</creator>
        <creator>Bjorgan A</creator>
        <creator>Vitali I</creator>
        <creator>Nicoletta A</creator>
        <creator>Simantiraki O</creator>
        <creator>Gimeno M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Software integration</subject>
        <subject>Smart mirror</subject>
        <subject>Hardware and firmware</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/330009</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/330009&amp;bitstreamId=77b85702-8684-4aa9-9af2-3c54d7921ad6</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This deliverable summarizes the activities carried out in the Task 8.5 to integrate the software modules outputting from WP3, WP4, WP5, WP6 and WP7 till the end of May 2016.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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    <datasets/>
    <citations/>
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            <acronym>08 Report e Working Paper</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:368857</identifier>
    <title>SEMEOTICONS - Methods for bio-morphometric and colorimetric face characterisation - final release</title>
    <creators>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator>Danielis A</creator>
        <creator orcid="0000-0002-6752-6918">Giorgi D</creator>
        <creator orcid="0000-0003-2022-0804">Colantonio S</creator>
        <creator>Raccichini G</creator>
        <creator>Henriquez P</creator>
        <creator>Matuszewski B J</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Face characterisation</subject>
        <subject>3D</subject>
        <subject>Shape analysis</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/330011</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/330011&amp;bitstreamId=01999553-2b64-4b55-998c-8347c982610b</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The present document is the final deliverable of Task 4.3 - Bio-morphometric and colorimetric face characterization. The objective of Task 4.3 is to develop a set of software tools to perform bio-morphometric facial measurements based on three-dimensional (3D) facial data acquired via a low-cost 3D scanner. The measurements are expected to detect and monitor over time facial changes correlated with cardio-metabolic risk. Colour information is expected to complement the characterization, providing extra information about facial pallor, redness, and asymmetric face colouring, possibly related to local skin anomalies, such as rash, inflammation, or redness.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:815</infoId>
            <name>Colantonio, Sara</name>
            <orcid>0000-0003-2022-0804</orcid>
            <affiliation code="dnet:pers:815" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
            <affiliation code="dnet:pers:815" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:943</infoId>
            <name>Giorgi, Daniela</name>
            <orcid>0000-0002-6752-6918</orcid>
            <affiliation code="dnet:pers:943" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:426</infoId>
            <name>Raccichini, Giovanni</name>
            <affiliation code="dnet:pers:426" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <acronym>08 Report e Working Paper</acronym>
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        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:368858</identifier>
    <title>SEMEOTICONS - Software Integration and Wize Mirror user manual</title>
    <creators>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
        <creator orcid="0000-0002-7814-5280">Germanese D</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator orcid="0000-0002-7640-455X">Mazzarisi A</creator>
        <creator>Henriquez P</creator>
        <creator>Vitali I</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>User manual</subject>
        <subject>Smart mirror</subject>
        <subject>Software integration</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/330012</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/330012&amp;bitstreamId=900f23fe-e5fc-44e7-b52e-8cd0faa730cc</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This deliverable reports the results of software integration of the WM prototype and includes the User Manual for the final prototype of the Wize Mirror (WM) as finalized during the last software integration phase that has set up the complete system (see D8.5.1).</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:382</infoId>
            <name>Germanese, Danila</name>
            <orcid>0000-0002-7814-5280</orcid>
            <affiliation code="dnet:pers:382" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
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            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:368861</identifier>
    <title>SEMEOTICONS - Personalized user's guidance</title>
    <creators>
        <creator orcid="0000-0003-2022-0804">Colantonio S</creator>
        <creator orcid="0000-0002-6752-6918">Giorgi D</creator>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
        <creator orcid="0000-0001-7742-8126">Pascali M A</creator>
        <creator orcid="0000-0003-3467-7362">Bastiani L</creator>
        <creator orcid="0000-0002-1931-0282">Coppini G</creator>
        <creator>Genitsaridi I</creator>
        <creator>Giannakakis G</creator>
        <creator>Kazantzaki E</creator>
        <creator>Pediaditis M</creator>
        <creator>Tsiknakis M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Personalised user's guidance</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/330015</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/330015&amp;bitstreamId=4dba1156-4d8e-4492-b298-010ec7ed3773</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>The present document reports the achievements of Task 6.3 - Personalized user's guidance. The objective of Task 6.3 is to develop a personalized guidance system which supports the user towards behavioural change, through tailored coaching messages. The Personalized User Guidance implemented by SEMEOTICONS' Wize Mirror, also referred to as Wize Guidance, is designed to allow normal people achieve and maintain a correct lifestyle, so as to reduce their cardio-metabolic risk and improve their quality of life. Indeed, cardio-metabolic risk factors are mainly related to modifiable factors pertaining to people's lifestyle.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::e15865cc9d40ab123bfbc36f8c66c23f</openaireId>
            <code>611516</code>
            <name>SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring</name>
            <acronym>SEMEOTICONS</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:815</infoId>
            <name>Colantonio, Sara</name>
            <orcid>0000-0003-2022-0804</orcid>
            <affiliation code="dnet:pers:815" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
            <affiliation code="dnet:pers:815" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:943</infoId>
            <name>Giorgi, Daniela</name>
            <orcid>0000-0002-6752-6918</orcid>
            <affiliation code="dnet:pers:943" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:236</infoId>
            <name>Pascali, Maria Antonietta</name>
            <orcid>0000-0001-7742-8126</orcid>
            <affiliation code="dnet:pers:236" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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    <datasets/>
    <citations/>
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            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
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            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <code>col_20.500.14243_98</code>
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            <acronym>08.01 Rapporto di progetto</acronym>
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            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:368862</identifier>
    <title>SEMI - Sistema Espressivo Multicanale Interattivo</title>
    <creators>
        <creator orcid="0000-0002-0559-0607">Magrini M</creator>
        <creator orcid="0000-0003-3227-3487">Carboni A</creator>
        <creator>Villa A</creator>
        <creator orcid="0000-0002-1448-0960">Righi M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Gesture Tracking</subject>
        <subject>Rehabilitation</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/330016</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/368862/2016_368862.pdf?id=people______%3A%3Ae95e8dc419b5ec995932762110f022ae</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/330016/1/prod_368862-doc_122476.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>This report describes the project SEMI, Sistema Espressivo Multicanale Interattivo, developed by the Laboratory of Signals and Images ISTI CNR of Pisa in collaboration with MAiC of Pistoia Foundation. This project consists in the realization of an innovative system made up of special gestural interaction tools based on non-invasive technologies, contactless and low cost, which can provide an audio-visual feedback to the movement of the body. In this way it intends to promote, in a playful form, the consciousness of one's ability to nteract with the surrounding environment (proprioceptive system). After a classification of the project in the field of activity of the treatment of autism spectrum disorders, we will give a description of his hardware/software components, followed by the description of the experimental phase and analysis of the data collected at the premises of MAiC Foundation.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:115</infoId>
            <name>Carboni, Andrea</name>
            <orcid>0000-0003-3227-3487</orcid>
            <affiliation code="dnet:pers:115" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:751</infoId>
            <name>Magrini, Massimo</name>
            <orcid>0000-0002-0559-0607</orcid>
            <affiliation code="dnet:pers:751" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:80</infoId>
            <name>Righi, Marco</name>
            <orcid>0000-0002-1448-0960</orcid>
            <affiliation code="dnet:pers:80" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:456</infoId>
            <name>Villa, Andrea</name>
            <affiliation code="dnet:pers:456" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:368926</identifier>
    <title>Virtual Research Environments as-a-Service</title>
    <creators>
        <creator orcid="0000-0003-2960-1937">Castelli D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Data management lifecycle</subject>
        <subject>Virtual Research Environments</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/330080</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/368926/2016_368926.pdf?id=people______%3A%3A7f6444f824c03c264df0ea04dfa6b802</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/330080/1/prod_368926-doc_122513.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>D4Science Virtual Research Environments and their services are presented as supporting the entire data management life cycle.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::15463ed3cba51f042181197cfabb2ff5</openaireId>
            <code>239019</code>
            <name>Data Infrastructure Ecosystem for Science</name>
            <acronym>D4SCIENCE-II</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1295</infoId>
            <name>Castelli, Donatella</name>
            <orcid>0000-0003-2960-1937</orcid>
            <affiliation code="dnet:pers:1295" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_86</code>
            <name>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</name>
            <acronym>04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:373198</identifier>
    <title>Analisi preliminare dei dati dei questionari su qualità della vita, comportamenti di salute, profilo psicologico sulla base degli indici di rischio cardiometabolico</title>
    <creators>
        <creator orcid="0000-0002-1753-9753">Colasante E</creator>
        <creator orcid="0000-0003-3295-408X">Curzio O</creator>
        <creator orcid="0000-0002-7825-1753">Denoth F</creator>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
        <creator orcid="0000-0001-7221-0873">Molinaro S</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>statistica</subject>
        <subject>lifestyle</subject>
        <subject>rischio cardiometabolico</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/332516</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/332516&amp;bitstreamId=151e253d-d494-4537-b436-3151dfc43d1e</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>-</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1572</infoId>
            <name>Molinaro, Sabrina</name>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_99</code>
            <name>08.02 Rapporto di ricerca, Relazione scientifica</name>
            <acronym>08.02 Rapporto di ricerca, Relazione scientifica</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:374239</identifier>
    <title>Harvesting dynamic 3DWorlds from commodity sensor clouds</title>
    <creators>
        <creator>Boubekeur T</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
        <creator>Eisemann E</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D digitization</subject>
        <subject>Computer graphics</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Restricted">https://diglib.eg.org/handle/10.2312/gch20161378</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.2312/gch.20161378</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/335609</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/335609&amp;bitstreamId=5ae3a09f-c60e-46d0-8652-2daa4be942e2</url>
    </urls>
    <dois>
        <doi>10.2312/gch.20161378</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>The EU FP7 FET-Open project "Harvest4D: Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds" deals with the acquisition, processing, and display of dynamic 3D data. Technological progress is offering us a wide-spread availability of sensing devices that deliver different data streams, which can be easily deployed in the real world and produce streams of sampled data with increased density and easier iteration of the sampling process. These data need to be processed and displayed in a new way. The Harvest4D project proposes a radical change in acquisition and processing technology: instead of a goaldriven acquisition that determines the devices and sensors, its methods let the sensors and resulting available data determine the acquisition process. A variety of challenging problems need to be solved: huge data amounts, different modalities, varying scales, dynamic, noisy and colorful data. This short contribution presents a selection of the many scientific results produced by Harvest4D. We will focus on those results that could bring a major impact to the Cultural Heritage domain, namely facilitating the acquisition of the sampled data or providing advanced visual analysis capabilities.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/gch.20161378" url="https://dx.doi.org/10.2312/gch.20161378">Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:374242</identifier>
    <title>ArchAIDE - Archaeological Automatic Interpretation and Documentation of cEramics</title>
    <creators>
        <creator>Gualandi M L</creator>
        <creator orcid="0000-0002-7457-7473">Scopigno R</creator>
        <creator>Wolf L</creator>
        <creator>Richards J</creator>
        <creator>Garrigos Jbi</creator>
        <creator>Heinzelmann M</creator>
        <creator>Hervas Ma</creator>
        <creator>Vila L</creator>
        <creator>Zallocco M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Archaeology</subject>
        <subject>Documentation systems</subject>
        <subject>Automatic recognition</subject>
        <subject>Ceramic fragments</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="diglib.eg.org" rights="Open Access">https://diglib.eg.org/handle/10.2312/gch20161408</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.2312/gch.20161408</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/335612</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/335612/1/prod_374242-doc_125490.pdf</url>
    </urls>
    <dois>
        <doi>10.2312/gch.20161408</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>The goals of H2020 project "ArchAIDE: are to support the classification and interpretation work of archaeologists with innovative computer-based tools, able to provide the user with features for the semi-automatic description and matching of potsherds over the huge existing ceramic catalogues. Pottery classification is of fundamental importance for the comprehension and dating of the archaeological contexts, and for understanding production, trade flows and social interactions, but it requires complex skills and it is a very time consuming activity, both for researchers and professionals. The aim of ArchAIDE is to support the work of archaeologists, in order to meet real user needs and generate economic benefits, reducing time and costs. This would create societal benefits from cultural heritage, improving access, re-use and exploitation of the digital cultural heritage in a sustainable way. These objectives will be achieved through the development of:  an as-automatic-as-possible procedure to transform the paper catalogues in a digital description, to be used as a data pool for search and retrieval process;  a tool (mainly designed for mobile devices) that will support archaeologists in recognizing and classifying potsherds during excavation and post-excavation analysis, through an easy-to-use interface and efficient algorithms for characterisation, search and retrieval of the visual/geometrical correspondences;  an automatic procedure to derive a complete potsherds identity card by transforming the data collected into a formatted electronic document, printable or visual;  a web-based real-time data visualisation to improve access to archaeological heritage and generate new understanding;  an open archive to allow the archival and re-use of archaeological data, transforming them into common heritage and permitting economic sustainability. Those tools will be tested and assessed on real-cases scenarios, paving the way to future exploitation.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1196</infoId>
            <name>Scopigno, Roberto</name>
            <orcid>0000-0002-7457-7473</orcid>
            <affiliation code="dnet:pers:1196" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
            <affiliation code="dnet:pers:1196" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.2312/gch.20161408" url="https://dx.doi.org/10.2312/gch.20161408">ArchAIDE - Archaeological Automatic Interpretation and Documentation of cEramics</dataset>
    </datasets>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:374342</identifier>
    <title>gCube Accounting manager portlet - A solution to retrieve and display infrastructure's accounting information [Release 1.0 , 01 July 2016]</title>
    <creators>
        <creator orcid="0000-0001-8375-6644">Panichi G</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube</subject>
        <subject>Accounting</subject>
        <subject>Portlet</subject>
        <subject>Hybrid Data Infrastructure</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/337772</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">http://www.gcube-system.org/software-releases#accounting-manager</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>A portlet representing a gCube-based solution to retrieve and display infrastructure's accounting information. It provides data-visulization tools for timewise-aggregated and key-filtered information, and it also allows for data export in different formats, i.e. json, csv, pdf, jpg and svg. gCube is a software system enabling the realization and operation of hybrid data infrastructures capable of supporting the concept of Virtual Research Environments (VREs).</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:310</infoId>
            <name>Panichi, Giancarlo</name>
            <orcid>0000-0001-8375-6644</orcid>
            <affiliation code="dnet:pers:310" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:374652</identifier>
    <title>Progetto Velutina: la ricerca italiana a caccia di soluzioni</title>
    <creators>
        <creator>Bortolotti L</creator>
        <creator>Cervo R</creator>
        <creator>Felicioli A</creator>
        <creator>Quaranta M</creator>
        <creator orcid="0000-0002-9539-692X">Salvetti O</creator>
        <creator>Berton A</creator>
        <creator>Zagni F</creator>
        <creator>Cini A</creator>
        <creator>Cappa F</creator>
        <creator>Pepiciello I</creator>
        <creator>Petrocelli I</creator>
        <creator orcid="0000-0002-5175-5126">Moroni D</creator>
        <creator>Medrzycki P</creator>
        <creator>Lanteri N</creator>
        <creator>Lodesani M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Vespa velutina</subject>
        <subject>Entomology</subject>
        <subject>Computer vision</subject>
        <subject>Infrared Imaging</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/342238</url>
        <url hostedBy="www.accademiaentomologia.it" rights="Open Access">http://www.accademiaentomologia.it/Rendiconti/2016/Atti%202016%20web.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/342238/1/prod_374652-doc_125811.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Velutina project: Italian research hunting for solution Vespa velutina Lepieltier, 1836 (Hymenoptera: Vespidae) is an invasive predator of honeybees accidentally introduced into Europe from eastern Asia. It was observed for the first time in southwest France in 2004 and in the following years it rapidly spread almost all over the country. In 2013 it was officially reported in Italy, in the region Liguria, near the border with France. In three years it invaded the whole province of Imperia and it was occasionally reported also in the South Western of Piedmont and in one locality in South Eastern Piedmont. The VELUTINA project was funded in 2014 by the Italian Ministry of Agriculture, with the aim of finding effective control methods against the predator. It includes both research and surveillance: adult and nest monitoring; development of methods for nest detection; development of protocols for nest destruction; studies on wasp chemical communication. Adult monitoring was performed in 5 Italian regions - the two where the hornet is already present and the three bordering ones - with the cooperation of Universities, research centres and beekeeping associations. Reports of V. velutina nests were collected from 2014 to 2016 thanks to the activity of the beekeeping association Apiliguria. Between 2014 and 2015 the presence of V. velutina was confirmed in the provinces were it was already present, with a small enlargement of the distribution area, both along the coast and the valleys, with no trespassing to other regions. Only recently, in November 2016, the presence of V. velutina was reported and confirmed by our institution in a locality of Veneto region, very near to the border with Lombardy and Emilia Romagna. At present, nest destruction represents the most effective method to limit the diffusion of the hornet, but it shows limitations and inconveniences. Nests are often difficult to locate and reach, their destruction is costly and risky for the staff and it is not regulated by official approved protocols. Within VELUTINA project some progresses have been made towards the official recognition of the method, thanks to the cooperation with national and regional institutions. After the end of Velutina project, the researchers of the project and the beekeeping associations of the invaded areas joined together in the scientific net Stopvelutina (www.stopvelutina.it), whose aim is to collect information and find new solutions to limit the spread of V. velutina. Beside the continuation of previous researches, a patent pending method was tested in summer 2016 to fight V. velutina adults in front of the apiaries in Liguria. From the first preliminary results the method resulted highly effective and it seems suitable to contrast the predator also in new invaded areas.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:433</infoId>
            <name>Moroni, Davide</name>
            <orcid>0000-0002-5175-5126</orcid>
            <affiliation code="dnet:pers:433" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:565</infoId>
            <name>Salvetti, Ovidio</name>
            <orcid>0000-0002-9539-692X</orcid>
            <affiliation code="dnet:pers:565" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_22</code>
            <name>01 Contributo su Rivista</name>
            <acronym>01 Contributo su Rivista</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_23</code>
            <name>01.01 Articolo in rivista</name>
            <acronym>01.01 Articolo in rivista</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:375528</identifier>
    <title>DOREMI - Quality and risk management report</title>
    <creators>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator orcid="0000-0001-5457-2328">Vozzi F</creator>
        <creator>Micheli A</creator>
        <creator>Kreiner K</creator>
        <creator>Montòn E</creator>
        <creator>Ascolese A</creator>
        <creator>Musian D</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Report</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/333754</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/333754&amp;bitstreamId=b25049c6-85bb-427f-a1ac-41e7edaa2cd8</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>In order to assure the correct quality assurance procedures, a Quality and Risk management Plan has been designed at the beginning of the project and reported in D1.1. The DOREMI project involved risks, mainly due to the complexity of the problems and the degree of novelty of the intended results. To this, risks come from time restrictions, as well as from the distributed development project structure (there are teams from many organizations of different countries). The report includes a description of quality control activities and risks identification performed in the third year of the project by several partners involved in technical R&amp;D activities aimed at the development of DOREMI platform.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:375531</identifier>
    <title>DOREMI - Annotated data available and easy accessible</title>
    <creators>
        <creator>Musian D</creator>
        <creator orcid="0000-0001-5457-2328">Vozzi F</creator>
        <creator>Fortunati L</creator>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator>Gallicchio C</creator>
        <creator>Llorente M</creator>
        <creator>Ascolese A</creator>
        <creator>Hanckox J</creator>
        <creator>Scase M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Report</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/333757</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/333757&amp;bitstreamId=424159e1-a612-4515-8dc4-709e39dbeba4</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>Deliverable 6.3 provides a detailed description of data collected for the training of Activity recognition model, including Physical Activity and Indoor socialization. Data collection to test accessibility of Gamified Environment and Serious Games will be also reported. Finally will be presented the data collection conducted to test data aggregation and the integration tests.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_68</code>
            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_98</code>
            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou206</code>
            <name>Istituto di Fisiologia Clinica - IFC</name>
            <acronym>Istituto di Fisiologia Clinica - IFC</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:376418</identifier>
    <title>gCube Information System. [Release 1.1]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Information Systems</subject>
        <subject>gCube</subject>
        <subject>Graph Database</subject>
        <subject>OrientDB</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/342055</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>The gCube Information System (shortly, IS) delivers functionalities for publishing, discovering, and monitoring the set of resources forming the infrastructure. Moreover it allows to federate different infrastructures. It acts as the registry of the infrastructure, i.e. all the resources are registered in the IS and every service partaking in the infrastructure must refer to it to dynamically discover the other infrastructure constituents. Moreover, the approach provided by the IS is of great support for the dynamic deployment capabilities of gCube.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:376420</identifier>
    <title>gCube Smart Executor. [Release 1.4]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Cloud computing</subject>
        <subject>Plugin</subject>
        <subject>Execution</subject>
        <subject>gcube</subject>
        <subject>Job</subject>
        <subject>Task</subject>
        <subject>Cron</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/342057</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Smart Executor is a service which allows to schedule, start, stop, and monitor the execution of tasks. It runs tasks provided as plugins (dynamically discovered). The Smart Executor has been designed to be deployed in a typical cloud-based infrastructure and it offers a SOAP/REST interface and a Java client library.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:376424</identifier>
    <title>gCube Document Store Framework. [Release 1.3]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator>Pieve A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>NoSQL</subject>
        <subject>Document Store DB</subject>
        <subject>MongoDB</subject>
        <subject>CouchDB</subject>
        <subject>CouchBase</subject>
        <subject>gCube</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/342061</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Document Store Framework is a set of libraries allowing to store information in NoSQL document store. The data models are discovered at runtime and each document is validated before persisting it. The framework persist the data in NoSQL document store through connectors discovered at runtime. The currently provided connector are for CouchDB, CouchBase and MongoDB. The framework is fault-tolerant as it provides bufferization and fallbacks persistence over filesystem in the case the entitled persistence in not available at any moment. When the persistence is back, the data is retrieved from the filesystem and finally stored where expected. It is explicitly designed for cloud computing though it can also be used for local needs by providing an adequate persistence connector.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:488</infoId>
            <name>Pieve, Alessandro</name>
            <affiliation code="dnet:pers:488" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:376435</identifier>
    <title>Stigmergy-based Long-Term Monitoring of Indoor Users Mobility in Ambient Assisted Living Environments: the DOREMI Project Approach</title>
    <creators>
        <creator orcid="0000-0001-9778-7142">Palumbo F</creator>
        <creator orcid="0000-0001-8424-0762">La Rosa D</creator>
        <creator orcid="0000-0002-1070-1834">Ferro E</creator>
    </creators>
    <publisher>CEUR-WS.org</publisher>
    <subjects>
        <subject>Stigmergy</subject>
        <subject>Long-term Monitoring</subject>
        <subject>Ambient Assisted Living</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1803/paper2.pdf</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/342072</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/376435/2016_376435.published.pdf?id=people______%3A%3Af64dcd374207133d0f2ca73edce350d3</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/342072/1/prod_376435-doc_127119.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>Aging trends in Europe motivate the need for technological solutions aimed at preventing the main causes of morbidity and premature mortality. In this framework, the DOREMI project addresses three important causes of morbidity and mortality in the elderly by devising an ICT-based home care services for aging people to contrast cognitive decline, sedentariness and unhealthy dietary habits. In DOREMI, the house itself is transformed in an unobtrusive monitoring environment able to keep track of the daily activities of older users. In this paper, we present a system able to detect behavioral deviations of the routine indoor activities, in terms of indoor movements, on the basis of indoor localization information coming from the deployed environmental sensor network and a swarm intelligence method, namely stigmergy. Similarity evaluation is performed between stigmergic maps over different weeks in order to assess deviations. These deviations can be related to an effective application of the DOREMI protocol as well as to malfunctioning devices, thus representing a useful tool to detect changes in the DOREMI environment and in the user's life-style. The proposed solution has been validated in a pilot study lasted six months and carried out in UK and in Italy.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda_______::f163d7f5a8367440ef64732a73dd37b9</openaireId>
            <code>611650</code>
            <name>Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion</name>
            <acronym>DOREMI</acronym>
            <funder>EC</funder>
            <program>FP7</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:514</infoId>
            <name>Ferro, Erina</name>
            <orcid>0000-0003-3122-726X</orcid>
            <affiliation code="dnet:pers:514" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:138</infoId>
            <name>La Rosa, Davide</name>
            <orcid>0000-0001-8424-0762</orcid>
            <affiliation code="dnet:pers:138" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:225</infoId>
            <name>Palumbo, Filippo</name>
            <orcid>0000-0001-9778-7142</orcid>
            <affiliation code="dnet:pers:225" type="Laboratorio" groupAcronym="WN" group="Wireless Networks (2002-ongoing)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:378910</identifier>
    <title>Indexing 100M images with deep features and MI-File</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator orcid="0000-0002-2909-7745">Rabitti F</creator>
    </creators>
    <publisher>CEUR-WS.org</publisher>
    <subjects>
        <subject>Image retrieval</subject>
        <subject>Similarity search</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="ceur-ws.org" rights="Open Access">http://ceur-ws.org/Vol-1653/</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/337476</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/337476/1/prod_378910-doc_128258.pdf</url>
    </urls>
    <dois/>
    <bestRights>Open Access</bestRights>
    <abstract>In the context of the Multimedia Commons initiative, we extracted and indexed deep features of about 100M images uploaded on Flickr between 2004 and 2014 and published under a Creative Commons commercial or noncommercial license. The extracted features and an online demo built using the MI-File approximated data structure are both publicly available. The online CBIR system demonstrates the effectiveness of the deep features and the efficiency of the indexing approach.</abstract>
    <source>CEUR WORKSHOP PROCEEDINGS. Venezia, Italy, 30-31 May 2016</source>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:584</infoId>
            <name>Rabitti, Fausto</name>
            <orcid>0000-0002-2909-7745</orcid>
            <affiliation code="dnet:pers:584" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
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<record>
    <identifier>oai:it.cnr:prodotti:378972</identifier>
    <title>Large scale indexing and searching deep convolutional neural network features</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0002-0369-6045">Debole F</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator orcid="0000-0002-2909-7745">Rabitti F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Deep learning</subject>
        <subject>Image retrieval</subject>
        <subject>Convolutional neural network</subject>
        <subject>Inverted index</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-43946-4_14</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/339631</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007/978-3-319-43946-4_14</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/378972/2016_378972.preprint.pdf?id=people______%3A%3Ae20de6cad01c23c871a3d70c63168b53</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-43946-4_14</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/339631/2/prod_378972-doc_200062.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/339631&amp;bitstreamId=af56f8ec-4b76-4a6f-81a3-6a34173220ac</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-43946-4_14</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Content-based image retrieval using Deep Learning has become very popular during the last few years. In this work, we propose an approach to index Deep Convolutional Neural Network Features to support efficient retrieval on very large image databases. The idea is to provide a text encoding for these features enabling the use of a text retrieval engine to perform image similarity search. In this way, we built LuQ a robust retrieval system that combines full-text search with content-based image retrieval capabilities. In order to optimize the index occupation and the query response time, we evaluated various tuning parameters to generate the text encoding. To this end, we have developed a web-based prototype to efficiently search through a dataset of 100 million of images.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:92</infoId>
            <name>Debole, Franca</name>
            <orcid>0000-0002-0369-6045</orcid>
            <affiliation code="dnet:pers:92" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:584</infoId>
            <name>Rabitti, Fausto</name>
            <orcid>0000-0002-2909-7745</orcid>
            <affiliation code="dnet:pers:584" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
            <code>com_20.500.14243_46</code>
            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:378974</identifier>
    <title>YFCC100M HybridNet fc6 deep features for content-based image retrieval</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator orcid="0000-0002-2909-7745">Rabitti F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>YFCC100M</subject>
        <subject>Deep Features</subject>
        <subject>Multimedia Information Retrieval</subject>
        <subject>Content-Based Image Retrieval</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">https://dl.acm.org/citation.cfm?doid=2983554.2983557</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/2983554.2983557</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/339632</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/2983554.2983557</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/339632/1/prod_378974-doc_128299.pdf</url>
    </urls>
    <dois>
        <doi>10.1145/2983554.2983557</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>This paper presents a corpus of deep features extracted from the YFCC100M images considering the fc6 hidden layer activation of the HybridNet deep convolutional neural network. For a set of random selected queries we made available k-NN results obtained sequentially scanning the entire set features comparing both using the Euclidean and Hamming Distance on a binarized version of the features. This set of results is ground truth for evaluating Content-Based Image Retrieval (CBIR) systems that use approximate similarity search methods for efficient and scalable indexing. Moreover, we present experimental results obtained indexing this corpus with two distinct approaches: the Metric Inverted File and the Lucene Quantization. These two CBIR systems are public available online allowing real-time search using both internal and external queries.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:584</infoId>
            <name>Rabitti, Fausto</name>
            <orcid>0000-0002-2909-7745</orcid>
            <affiliation code="dnet:pers:584" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
    <collections>
        <inCollection>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_47</code>
            <name>04.01 Contributo in Atti di convegno</name>
            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:378990</identifier>
    <title>YFCC100M-HNfc6: a large-scale deep features benchmark for similarity search</title>
    <creators>
        <creator orcid="0000-0003-0171-4315">Amato G</creator>
        <creator orcid="0000-0001-6258-5313">Falchi F</creator>
        <creator orcid="0000-0002-3715-149X">Gennaro C</creator>
        <creator orcid="0000-0002-2909-7745">Rabitti F</creator>
    </creators>
    <publisher>Springer</publisher>
    <subjects>
        <subject>YFCC100M</subject>
        <subject>Deep features</subject>
        <subject>Content-based image retrieval</subject>
        <subject>Convolutional neural networks</subject>
        <subject>Similarity search</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-46759-7_15</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1007/978-3-319-46759-7_15</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/339648</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/339648&amp;bitstreamId=b26de79e-ca73-4ec3-b8ce-46eb3496a20c</url>
        <url hostedBy="link.springer.com" rights="Restricted">https://link.springer.com/chapter/10.1007/978-3-319-46759-7_15</url>
    </urls>
    <dois>
        <doi>10.1007/978-3-319-46759-7_15</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>In this paper, we present YFCC100M-HNfc6, a benchmark consisting of 97M deep features extracted from the Yahoo Creative Commons 100M (YFCC100M) dataset. Three type of features were extracted using a state-of-the-art Convolutional Neural Network trained on the ImageNet and Places datasets. Together with the features, we made publicly available a set of 1,000 queries and k-NN results obtained by sequential scan. We first report detailed statistical information on both the features and search results. Then, we show an example of performance evaluation, performed using this benchmark, on the MI-File approximate similarity access method.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1103</infoId>
            <name>Amato, Giuseppe</name>
            <orcid>0000-0003-0171-4315</orcid>
            <affiliation code="dnet:pers:1103" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:347</infoId>
            <name>Falchi, Fabrizio</name>
            <orcid>0000-0001-6258-5313</orcid>
            <affiliation code="dnet:pers:347" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
            <affiliation code="dnet:pers:347" type="Organo Istituzionale" groupAcronym="CI" group="Consiglio di Istituto (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:1462</infoId>
            <name>Gennaro, Claudio</name>
            <orcid>0000-0002-3715-149X</orcid>
            <affiliation code="dnet:pers:1462" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:584</infoId>
            <name>Rabitti, Fausto</name>
            <orcid>0000-0002-2909-7745</orcid>
            <affiliation code="dnet:pers:584" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets>
        <dataset doi="10.1145/3077136.3084142" url="https://dx.doi.org/10.1145/3077136.3084142">Social Media Image Recognition for Food Trend Analysis</dataset>
    </datasets>
    <citations/>
    <collections>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:379844</identifier>
    <title>Games for the rehabilitation of disabled people</title>
    <creators>
        <creator orcid="0000-0003-2469-9648">Leporini B</creator>
        <creator>Hersh M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Disabled people</subject>
        <subject>Visually impaired people</subject>
        <subject>Ageing</subject>
        <subject>Accessible games</subject>
        <subject>Serious games</subject>
        <subject>Age</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Open Access">https://dl.acm.org/citation.cfm?id=3051496</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1145/3051488.3051496</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/341077</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/379844/2016_379844.preprint.pdf?id=people______%3A%3A6b26c0d4b2b222eee078f9ac62042330</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1145/3051488.3051496</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/bitstream/20.500.14243/341077/2/prod_379844-doc_162935.pdf</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/341077&amp;bitstreamId=5a18fc32-734b-4a65-9f91-8e2a6e06160b</url>
    </urls>
    <dois>
        <doi>10.1145/3051488.3051496</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>In this paper, we consider the use of games in the rehabilitation of disabled people, with particular attention to blind and partially sighted people. Serious games are currently very widely used in a variety of applications including education, training, culture, therapy and rehabilitation. However, this raises the issues of whether they are suitable for disabled people and the extent to which disabled people have been involved in the design. We will be reporting the results of a survey to investigate the extent to which existing and proposed games are accessible to disabled and older people, particularly blind and partially sighted people.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:773</infoId>
            <name>Leporini, Barbara</name>
            <orcid>0000-0003-2469-9648</orcid>
            <affiliation code="dnet:pers:773" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
        </cnrPerson>
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    <datasets/>
    <citations/>
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            <name>04 Contributo in convegno</name>
            <acronym>04 Contributo in convegno</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <acronym>04.01 Contributo in Atti di convegno</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
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</record>
<record>
    <identifier>oai:it.cnr:prodotti:379845</identifier>
    <title>Haptic models of arrays through 3D printing for computer science education</title>
    <creators>
        <creator>Papazafiropulos N</creator>
        <creator>Fanucci L</creator>
        <creator orcid="0000-0003-2469-9648">Leporini B</creator>
        <creator>Pelagatti S</creator>
        <creator>Roncella R</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Visually impaired</subject>
        <subject>Accessibility</subject>
        <subject>Haptic models</subject>
        <subject>Blind users</subject>
        <subject>Inclusive education</subject>
        <subject>Data structures</subject>
        <subject>Arrays</subject>
        <subject>3D printing</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Conference article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1007/978-3-319-41264-1_67</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/341078</url>
        <url hostedBy="link.springer.com" rights="Open Access">https://link.springer.com/chapter/10.1007/978-3-319-41264-1_67</url>
        <url hostedBy="ISTI Repository" rights="Open Access">http://openportal.isti.cnr.it/data/2016/379845/2016_379845.preprint.pdf?id=people______%3A%3A8d9c2466e70db055e1937b337e31253f</url>
        <url hostedBy="doi.org" rights="Closed Access">https://doi.org/10.1007/978-3-319-41264-1_67</url>
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        <doi>10.1007/978-3-319-41264-1_67</doi>
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    <abstract>Computer science is taught as a regular subject in the school systems of many countries. Most tools used to teach main topics of computer science curricula, such as data structures and algorithms, are visually oriented. Our work aims to assist visually impaired students to understand fundamental data structures and algorithms through 3D printed haptic models. We developed a simple but general method that can be used by the teacher to introduce data structures and algorithmic thinking to both visual impaired and sighted students in inclusive classes. We evaluated our models for teaching one-dimensional arrays to both visual impaired and sighted students.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:773</infoId>
            <name>Leporini, Barbara</name>
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            <affiliation code="dnet:pers:773" type="Laboratorio" groupAcronym="HIIS" group="Human Interfaces in Information Systems (2002-ongoing)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:379952</identifier>
    <title>e-Rés@mont</title>
    <creators>
        <creator>Giardini G</creator>
        <creator>Fosson Jp</creator>
        <creator orcid="0000-0002-1758-5485">Pratali L</creator>
        <creator orcid="0000-0001-7419-5099">Martinelli M</creator>
        <creator>Cauchy E</creator>
        <creator>Cotting A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Telemedicina</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/341594</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Progetto europeo interreg-alcotra di telemedicina intorno al monte bianco</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1373</infoId>
            <name>Martinelli, Massimo</name>
            <orcid>0000-0001-7419-5099</orcid>
            <affiliation code="dnet:pers:1373" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
        </cnrPerson>
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            <infoId>dnet:pers:1391</infoId>
            <name>Pratali, Lorenza</name>
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            <name>Istituto di Fisiologia Clinica - IFC</name>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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<record>
    <identifier>oai:it.cnr:prodotti:385320</identifier>
    <title>Report on the First International Workshop on Reproducible Open Science</title>
    <creators>
        <creator orcid="0000-0001-7291-3210">Manghi P</creator>
        <creator>Schirrwagen J</creator>
        <creator>Corcho O</creator>
        <creator>Aryani A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Information Systems</subject>
        <subject>Software</subject>
        <subject>Open Science principles</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="dl.acm.org" rights="Restricted">https://dl.acm.org/citation.cfm?id=3092942</url>
        <url hostedBy="ACM SIGMOD Record" rights="Closed Access">https://doi.org/10.1145/3092931.3092942</url>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1145/3092931.3092942</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/374879</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/374879&amp;bitstreamId=805c4596-da9a-4943-8455-4f5670b3c486</url>
        <url hostedBy="Publications at Bielefeld University" rights="Closed Access">https://pub.uni-bielefeld.de/record/2911727</url>
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    <dois>
        <doi>10.1145/3092931.3092942</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>This is a report of the  RepScience2016 that has has been organized in conjunction with the 20th edition of the International Conference on Theory and Practice of Digital Libraries. Proceedings of the workshop are under publication as a special issue of the Open Access journal D-Lib Magazine.</abstract>
    <source>SIGMOD RECORD, vol. 45 (issue 4), pp. 49-52</source>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:789</infoId>
            <name>Manghi, Paolo</name>
            <orcid>0000-0001-7291-3210</orcid>
            <affiliation code="dnet:pers:789" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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<record>
    <identifier>oai:it.cnr:prodotti:385603</identifier>
    <title>3D chromatin structure estimation through a constraint-enhanced score function</title>
    <creators>
        <creator orcid="0000-0002-1590-7890">Caudai C</creator>
        <creator orcid="0000-0002-3433-3634">Salerno E</creator>
        <creator orcid="0000-0003-4590-0718">Zoppè M</creator>
        <creator orcid="0000-0001-6970-4725">Tonazzini A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D Chromatin Structure</subject>
        <subject>Computational Biology</subject>
        <subject>Bayesian Estimation</subject>
        <subject>Chromosome Conformation Capture</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="bioRxiv" rights="Open Access">https://doi.org/10.1101/075184</url>
        <url hostedBy="DOI Resolver" rights="Open Access">https://dx.doi.org/10.1101/075184</url>
        <url hostedBy="CNR IRIS" rights="Open Access">https://hdl.handle.net/20.500.14243/348966</url>
        <url hostedBy="www.biorxiv.org" rights="Open Access">https://www.biorxiv.org/content/biorxiv/early/2016/09/14/075184.full.pdf</url>
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    <dois>
        <doi>http://dx.doi.org/10.1101/075184</doi>
        <doi>10.1101/075184</doi>
    </dois>
    <bestRights>Open Access</bestRights>
    <abstract>Based on experimental techniques of the type Chromosome Conformation Capture (3c), several methods have been proposed in the literature to estimate the structure of the nuclear dna in homogeneous populations of cells. Many of these methods transform contact frequencies into Euclidean distances between pairs of chromatin fragments, and then reconstruct the structure by solving a distance-to-geometry problem. To avoid the drawbacks of this strategy, we propose to abandon the frequency-distance translation and adopt a recursive multiscale procedure, where the chromatin fibre is modelled by a new kind of modified bead chain, the data are suitably partitioned at each scale, and the resulting partial structures are estimated independently of each other and then connected again to rebuild the whole chain. We propose a new score function to generate the solution space: it includes a data-fit part that does not require target distances, and a penalty part, which enforces soft geometric constraints on the solution, coherent with known physical and biological constraints. The relative weights of the two parts are balanced automatically at each scale and each subchain treated. Since it is reasonable to expect that many different structures fit any 3c-type data set, we sample the solution space by simulated annealing, with no search for an absolute optimum. A set of different solutions with similar scores is thus generated. The procedure can be managed through a minimum set of parameters, independent of both the scale and the particular genomic segment being treated. The user is thus allowed to control the solutions easily and effectively. The partition of the fibre, along with several intrinsically parallel parts, make this method computationally efficient. We report some results obtained with the new method and code, tested against real data, that support the reliability of our method and the biological plausibility of our solutions.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:246</infoId>
            <name>Caudai, Claudia</name>
            <orcid>0000-0002-1590-7890</orcid>
            <affiliation code="dnet:pers:246" type="Laboratorio" groupAcronym="SI" group="Signals and Images (2002-ongoing)"/>
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        <cnrPerson>
            <infoId>dnet:pers:1193</infoId>
            <name>Salerno, Emanuele</name>
            <orcid>0000-0002-3433-3634</orcid>
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        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:691</infoId>
            <name>Tonazzini, Anna</name>
            <orcid>0000-0001-6970-4725</orcid>
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        </cnrPerson>
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    <citations>
        <citation>1. Dekker, J., Rippe, K., Dekker, M., Kleckner, N.: Capturing chromosome conformation. Science 295 (2002) 1306{1311</citation>
        <citation>2. Zhao, Z.: Circular chromosome conformation capture (4c) uncovers extensive networks of epigenetically regulated intra- and interchromosomal interactions. Nature Genetics 38 (2006) 1341{1347</citation>
        <citation>3. Dostie, J., Dekker, J.: Mapping networks of physical interactions between genomic elements using 5c technology. Nat. Protoc. 2 (2007) 988{1002</citation>
        <citation>4. Lieberman-Aiden, E., van Berkum, N.L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B.R., Sabo, P.J., Dorschner, M.O., Sandstrom, R., Bernstein, B., Bender, M.A., Groudine, M., Gnirke, A., Stamatoyannopoulos, J., Mirny, L.A., Lander, E.S., Dekker, J.: Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science 326 (2009) 289{293</citation>
        <citation>5. van Berkum, N.L., Lieberman-Aiden, E., Williams, L., Imakaev, M., Gnirke, A., Mirny, L.A., Dekker, J., Lander, E.S.: Hi-c: a method to study the threedimensional architecture of genomes. J. Vis. Exp. 39 (2010) 1869{1875</citation>
        <citation>6. Varoquaux, N., Ferhat, A., Sta ord Noble, W., Vert, J.P.: A statistical approach for inferring the 3d structure of the genome. Bioinformatics 30 (2014) i26{i33</citation>
        <citation>7. Nowotny, J., Ahmed, S., Xu, L., Oluwadare, O., Hensley, N., Trieu, T., Cao, R., Cheng, J.: Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data. BMC Bioinf. 16 (2015) 338</citation>
        <citation>8. Wang, S., Xu, J., Zeng, J.: Inferential modeling of 3d chromatin structure. Nucl. Ac. Res. 43 (2015) e54</citation>
        <citation>9. Segal, M.R., Bengtsson, H.L.: Reconstruction of 3d genome architecture via a two-stage algorithm. BMC Bioinf. 16 (2015) 373</citation>
        <citation>10. Trussart, M., Serra, F., Bau, D., Junier, I., Serrano, L., Marti-Renom, M.A.: Assessing the limits of restraint-based 3d modeling of genomes and genomic domains. Nucl. Ac. Res. 43 (2015) 3465{3477</citation>
        <citation>11. Lajoie, B.R., Dekker, J., Kaplan, N.: The hitchhiker's guide ti hi-c analysis: Practical guidelines. Methods 72 (2015) 65{75</citation>
        <citation>12. Junier, I., Spill, Y.G., Marti-Renom, M.A., Beato, M., le Dily, F.: On the demultiplexing of chromosome capture conformation data. FEBS Lett. 589 (2015) 3005{3013</citation>
        <citation>13. Imakaev, M., Fudenberg, G., Mirny, L.A.: Modeling chromosomes: Beyond pretty pictures. FEBS Lett. 589 (2015) 3031{3036</citation>
        <citation>14. Caudai, C., Salerno, E., Zoppe, M., Tonazzini, A.: Inferring 3d chromatin structure using a multiscale approach based on quaternions. BMC Bioinformatics 16 (2015) 234</citation>
        <citation>15. Duggal, G., Patro, R., Sefer, E., Wang, H., Filippova, D., Khuller, S., Kingsford, C.: Resolving spatial inconsistencies in chromosome conformation measurements. Algorithms for Molecular Biology 8 (2013) 8</citation>
        <citation>16. Caudai, C., Salerno, E., Zoppe, M., Tonazzini, A.: A statistical approach to infer 3d chomatin structure. In Zazzu, V., et al., eds.: Mathematical Models in Biology. Springer International Publishing Switzerland, Cham (2015) 161{171</citation>
        <citation>17. Dixon, J.R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., Hu, M., Liu, J.S., Ren, B.: Topological domains in mammalian genomes identi ed by analysis of chromatin interactions. Nature 485 (2012) 376{380</citation>
        <citation>18. Vince, J.A.: Geometric Algebra for Computer Graphics. Springer, Berlin (2008)</citation>
    </citations>
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<record>
    <identifier>oai:it.cnr:prodotti:386677</identifier>
    <title>OpenAIRE API documentation</title>
    <creators>
        <creator orcid="0000-0001-9613-6639">Atzori C</creator>
        <creator orcid="0000-0002-1112-1292">Bardi A</creator>
        <creator>Iatropoulou K</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>OpenAIRE</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="api.openaire.eu" rights="Metadata Only Access">http://api.openaire.eu</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/368997</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Documentation of the API for consuming the OpenAIRE information space</abstract>
    <source/>
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            <openaireId>corda__h2020::87bf02a8401a8fb75532a443eaa19465</openaireId>
            <code>643410</code>
            <name>Open Access Infrastructure for Research in Europe 2020</name>
            <acronym>OpenAIRE2020</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
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        <project>
            <openaireId>corda__h2020::70ea22400fd890c5033cb31642c4ae68</openaireId>
            <code>777541</code>
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            <acronym>OpenAIRE-Advance</acronym>
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            <jurisdiction>EU</jurisdiction>
        </project>
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            <name>Atzori, Claudio</name>
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        </cnrPerson>
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            <infoId>dnet:pers:783</infoId>
            <name>Bardi, Alessia</name>
            <orcid>0000-0002-1112-1292</orcid>
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            <code>com_20.500.14243_69</code>
            <name>09 Documentazione tecnica</name>
            <acronym>09 Documentazione tecnica</acronym>
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            <acronym>Catalogo Ricerca</acronym>
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<record>
    <identifier>oai:it.cnr:prodotti:388088</identifier>
    <title>gCube Document Store Framework [Release 1.4]</title>
    <creators>
        <creator orcid="0000-0003-3183-2291">Frosini L</creator>
        <creator>Pieve A</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>NoSQL</subject>
        <subject>Document Store DB</subject>
        <subject>MongoDB</subject>
        <subject>CouchDB</subject>
        <subject>CouchBase</subject>
        <subject>gCube</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/350022</url>
        <url hostedBy="www.gcube-system.org" rights="Metadata Only Access">https://www.gcube-system.org/software-releases</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>Document Store Framework is a set of libraries allowing to store information in NoSQL document store. The data models are discovered at runtime and each document is validated before persisting it. The framework persist the data in NoSQL document store through connectors discovered at runtime. The currently provided connector are for CouchDB, CouchBase and MongoDB. The framework is fault-tolerant as it provides bufferization and fallbacks persistence over filesystem in the case the entitled persistence in not available at any moment. When the persistence is back, the data is retrieved from the filesystem and finally stored where expected. It is explicitly designed for cloud computing though it can also be used for local needs by providing an adequate persistence connector.</abstract>
    <source/>
    <projects/>
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        <cnrPerson>
            <infoId>dnet:pers:787</infoId>
            <name>Frosini, Luca</name>
            <orcid>0000-0003-3183-2291</orcid>
            <affiliation code="dnet:pers:787" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:488</infoId>
            <name>Pieve, Alessandro</name>
            <affiliation code="dnet:pers:488" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
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<record>
    <identifier>oai:it.cnr:prodotti:403532</identifier>
    <title>VRE4EIC - Deliverable 3.1  Architecture Design</title>
    <creators>
        <creator orcid="0000-0003-0069-7429">Meghini C</creator>
        <creator>Jeffery K</creator>
        <creator orcid="0000-0001-9394-6257">Concordia C</creator>
        <creator orcid="0000-0003-4223-8036">Marchetti E</creator>
        <creator>Patkos T</creator>
        <creator>Minadakis N</creator>
        <creator>Marketakis Y</creator>
        <creator>Chrysakis I</creator>
        <creator>Van Ossenbruggen J</creator>
        <creator>Wielemaker J</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Virtual Research Environments</subject>
        <subject>Distributed Information Systems Architecture</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Other</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/364681</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/364681&amp;bitstreamId=e30f3ad1-2c45-4507-a2ab-2ef7e8157147</url>
        <url hostedBy="www.vre4eic.eu" rights="Restricted">https://www.vre4eic.eu/images/Public_deliverables/D3.1_Architecture_Design.pdf</url>
    </urls>
    <dois/>
    <bestRights>Restricted</bestRights>
    <abstract>This deliverable presents the initial Reference Architecture of the VRE4EIC Project. The Reference Architecture is one of the results of the first year of work of the project. In order to derive it, the project conducted more than sixty interviews, and carefully characterized five existing e-Research Infrastructures. This way, it obtained a significant picture of the needs of the scientists, and of how these needs are met by the existing e-Research Infrastructures.
This picture was an input to the architects of the Project, who analysed it in detail, and distilled an exhaustive list of functions whose implementation is needed to satisfy the requirements in ways that advance the current e-Research Infrastructures.
Competence in software system design and development, as well as consideration of existing standards and best practices, allowed the VRE4EIC architects to group functions into components, and to further structure components in sub-components, thereby laying the basic building blocks of the Reference Architecture. Each component or sub-component was assigned a set of interfaces, each consisting of methods performing the tasks that provide the lowest level of granularity of the Reference Architecture. An intense activity of verification then ensued, aiming at verifying that the methods on the component interfaces could be appropriately composed into complex workflows able to realize the required functionality. The deliverable presents the result of this work, and documents the activities and the decisions that led to it.
Based on this solid piece of work, the project is entering its second year of activity. While keeping the Reference Architecture aligned with additionally collected requirements and e-RI characterizations, a gap analysis will be conducted to assess two existing Virtual Research Environments with respect to the Reference Architecture. The gap analysis will allow the project to select the components of the Reference Architecture that will be implemented in order to enhance the selected Virtual Research Environments. As a result of these activities, at the end of the project the final Reference Architecture will be released.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::4b7af92798bfcf61af19d36ad7034856</openaireId>
            <code>676247</code>
            <name>A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration</name>
            <acronym>VRE4EIC</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1426</infoId>
            <name>Concordia, Cesare</name>
            <orcid>0000-0001-9394-6257</orcid>
            <affiliation code="dnet:pers:1426" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:639</infoId>
            <name>Marchetti, Eda</name>
            <orcid>0000-0003-4223-8036</orcid>
            <affiliation code="dnet:pers:639" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:730</infoId>
            <name>Meghini, Carlo</name>
            <orcid>0000-0003-0069-7429</orcid>
            <affiliation code="dnet:pers:730" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <name>08 Report e Working Paper</name>
            <acronym>08 Report e Working Paper</acronym>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <name>08.01 Rapporto di progetto</name>
            <acronym>08.01 Rapporto di progetto</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:403070</identifier>
    <title>Method for computationally designing a re-usable flexible mold</title>
    <creators>
        <creator orcid="0000-0001-7892-894X">Malomo L</creator>
        <creator orcid="0000-0002-8271-2102">Pietroni N</creator>
        <creator>Bickel B</creator>
        <creator orcid="0000-0002-2686-8567">Cignoni P</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>3D printing</subject>
        <subject>Molding</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Patent</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/387126</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract/>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:1112</infoId>
            <name>Cignoni, Paolo</name>
            <orcid>0000-0002-2686-8567</orcid>
            <affiliation code="dnet:pers:1112" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:231</infoId>
            <name>Malomo, Luigi</name>
            <orcid>0000-0001-7892-894X</orcid>
            <affiliation code="dnet:pers:231" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
        </cnrPerson>
        <cnrPerson>
            <infoId>dnet:pers:636</infoId>
            <name>Pietroni, Nico</name>
            <orcid>0000-0002-8271-2102</orcid>
            <affiliation code="dnet:pers:636" type="Laboratorio" groupAcronym="VC" group="Visual Computing (2002-ongoing)"/>
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    <citations/>
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            <name>06 Brevetti</name>
            <acronym>06 Brevetti</acronym>
        </inCollection>
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            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
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            <code>col_20.500.14243_51</code>
            <name>06.01 Brevetto di invenzione industriale</name>
            <acronym>06.01 Brevetto di invenzione industriale</acronym>
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        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:403138</identifier>
    <title>Monitoring component for business process model simulation engine</title>
    <creators>
        <creator orcid="0000-0001-5502-303X">Calabrò A.</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>Architecture</subject>
        <subject>BAM</subject>
        <subject>Complex Event Processing</subject>
        <subject>KPI</subject>
        <subject>Monitoring</subject>
        <subject>SOA</subject>
        <subject>QoS</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="github.com" rights="Metadata Only Access">https://github.com/ISTI-LABSEDC/learnpad/tree/master/lp-simulation-environment</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/387596</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>A Business Process models a set of tasks to be carried out within an organization to achieve a business goal. Key performance In-dicators (KPIs) are set on such process models so to get a quantitative assessment of critical success metrics. A timely and reliable monitoring of KPIs is instrumental to BP management, and several frameworks are being proposed for such purpose. 
We propose here a reference architecture supporting BP KPI monitoring that is independent from specific notations and platforms, and allows for flexible KPI decisions.</abstract>
    <source/>
    <projects/>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:129</infoId>
            <name>Calabrò, Antonello</name>
            <orcid>0000-0001-5502-303X</orcid>
            <affiliation code="dnet:pers:129" type="Laboratorio" groupAcronym="SEDC" group="Software Engineering &amp; Dependable Computing (2012-ongoing)"/>
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            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
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            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
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            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:404357</identifier>
    <title>gCube Data Transfer Suite</title>
    <creators>
        <creator orcid="0000-0003-1013-6203">Sinibaldi F</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>gCube D4Science DataTransfer SmartGears</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>English</language>
    <type>Software</type>
    <urls>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://hdl.handle.net/20.500.14243/386819</url>
        <url hostedBy="wiki.gcube-system.org" rights="Metadata Only Access">https://wiki.gcube-system.org/gcube/Data_Transfer_2</url>
    </urls>
    <dois/>
    <bestRights>Metadata Only Access</bestRights>
    <abstract>gCube Data Transfer Suite is a collection of software libraries and service aimed to provide gCube Applications with a common layer for efficient and transparent data transfer towards gCube SmartGear nodes. It's designed as a client-server architecture exploiting plugin design pattern.</abstract>
    <source/>
    <projects>
        <project>
            <openaireId>corda__h2020::6729c0ee95de7724deb60454bb4179de</openaireId>
            <code>675680</code>
            <name>Building Research environments for fostering Innovation, Decision making, Governance and Education to support Blue growth</name>
            <acronym>BlueBRIDGE</acronym>
            <funder>EC</funder>
            <program>H2020</program>
            <jurisdiction>EU</jurisdiction>
        </project>
    </projects>
    <cnrPersons>
        <cnrPerson>
            <infoId>dnet:pers:123</infoId>
            <name>Sinibaldi, Fabio</name>
            <orcid>0000-0003-1013-6203</orcid>
            <affiliation code="dnet:pers:123" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
        </cnrPerson>
    </cnrPersons>
    <datasets/>
    <citations/>
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            <code>com_20.500.14243_54</code>
            <name>05 Altro</name>
            <acronym>05 Altro</acronym>
        </inCollection>
        <inCollection>
            <code>com_20.500.14243_21</code>
            <name>Catalogo Ricerca</name>
            <acronym>Catalogo Ricerca</acronym>
        </inCollection>
        <inCollection>
            <code>col_20.500.14243_65</code>
            <name>05.11 Software</name>
            <acronym>05.11 Software</acronym>
        </inCollection>
        <inCollection>
            <code>ou_ou294</code>
            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
            <acronym>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</acronym>
        </inCollection>
    </collections>
</record>
<record>
    <identifier>oai:it.cnr:prodotti:404378</identifier>
    <title>DanteSources: una biblioteca digitale delle fonti dantesche</title>
    <creators>
        <creator>Bartalesi V</creator>
        <creator>Andriani P</creator>
        <creator orcid="0000-0002-5512-2158">Metilli D</creator>
        <creator orcid="0000-0003-0069-7429">Meghini C</creator>
        <creator>Tavoni M</creator>
    </creators>
    <publisher/>
    <subjects>
        <subject>web semantico</subject>
        <subject>dante alighieri</subject>
        <subject>dante</subject>
        <subject>rdf</subject>
        <subject>ontologia</subject>
        <subject>biblioteca digitale</subject>
    </subjects>
    <contributors/>
    <date>2016</date>
    <language>Italian</language>
    <type>Journal article</type>
    <urls>
        <url hostedBy="DOI Resolver" rights="Restricted">https://dx.doi.org/10.1400/256610</url>
        <url hostedBy="CNR IRIS" rights="Restricted">https://hdl.handle.net/20.500.14243/386840</url>
        <url hostedBy="CNR IRIS" rights="Metadata Only Access">https://iris.cnr.it/request-item?handle=20.500.14243/386840&amp;bitstreamId=8b69be9b-89fc-4ebd-aca4-735eafd58677</url>
        <url hostedBy="www.torrossa.com" rights="Restricted">https://www.torrossa.com/it/resources/an/4301458</url>
    </urls>
    <dois>
        <doi>10.1400/256610</doi>
    </dois>
    <bestRights>Restricted</bestRights>
    <abstract>Un tipo importante di conoscenza studiata in campo umanistico è rappresentato dalle fonti primarie di testi letterari, ovvero le opere di altri autori a cui uno scrittore fa riferimento nei propri testi. Solitamente questa conoscenza è riportata nei commentari ai testi letterari, scritti in linguaggio naturale, di cui i lettori si servono per studiare in profondità i diversi aspetti di queste opere. Sfortunatamente questa conoscenza non è disponibile in un formato digitale leggibile da un computer, perciò non è possibile per gli studiosi ottenere inferenze automatiche che, seppur semplici, potrebbero essere utili per i loro studi (ad esempio la distribuzione delle fonti primarie e degli autori citati in una determinata opera).
Il nostro studio si colloca nell'ambito del progetto di ricerca nazionale (PRIN 2013-2016) "Per una enciclopedia dantesca digitale . Lo scopo della nostra ricerca è quello di costruire una biblioteca digitale dotata di servizi a supporto degli studiosi per creare, arricchire e consultare una enciclopedia digitale delle opere di Dante Alighieri. In particolare, il nostro studio mira a supportare gli studiosi nell'espressione formale e nell'accesso alla conoscenza riguardante le fonti primarie citate nelle opere di Dante Alighieri, e più in generale nei testi letterari. In questo articolo descriviamo la metodologia e il processo di sviluppo che abbiamo seguito per creare DanteSources, una biblioteca digitale che fornisce libero accesso alle informazioni riguardanti le fonti primarie di Dante Alighieri. Illustriamo qui l'intero processo, dalla creazione dell'ontologia per rappresentare la conoscenza riguardante le fonti primarie fino allo sviluppo della biblioteca.
La metodologia e gli strumenti che abbiamo sviluppato all'interno del progetto sono facilmente riutilizzabili per rappresentare la conoscenza riguardante le fonti primarie di altri autori della letteratura italiana e internazionale.</abstract>
    <source>LE FORME E LA STORIA, vol. IX</source>
    <projects/>
    <cnrPersons>
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            <infoId>dnet:pers:730</infoId>
            <name>Meghini, Carlo</name>
            <orcid>0000-0003-0069-7429</orcid>
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            <infoId>dnet:pers:467</infoId>
            <name>Metilli, Daniele</name>
            <orcid>0000-0002-5512-2158</orcid>
            <affiliation code="dnet:pers:467" type="Laboratorio" groupAcronym="NeMIS" group="Networked Multimedia Information System (2002-2020)"/>
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            <name>01 Contributo su Rivista</name>
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            <name>Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI</name>
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