2017
Contribution to book
Restricted
Realizzazione del sistema interattivo 'Loggia digitale'
Siotto E., Palma G., Scopigno R.
The VC Lab has developed, in collaboration with the Accademia Nazionale dei Lincei, the Interactive Digital System of the Loggia of Cupid and Psyche within the exhibition 'The Loggia of Cupid and Psyche - Raffaello and Giovanni da Udine - Colours of Prosperity: Fruits from the Old and New World' Villa Farnesina, Rome April 20 - July 20 2017. The system allows access to the 'digital Loggia' and permits the visitor to navigate freely through the high-resolution panoramic image of the painted ceiling, to admire it from a closer point of view and to consult the results of historical, botanical and scientific analyses performed on the selected species. The system is available online and with an interactive kiosk in the Farnesina building.Source: La Loggia di Amore e Psiche - Raffaello e Giovanni da Udine - I colori della prosperità: Frutti dal Vecchio e Nuovo Mondo, pp. 74–77, 2017
Siotto E., Palma G., Scopigno R.
The VC Lab has developed, in collaboration with the Accademia Nazionale dei Lincei, the Interactive Digital System of the Loggia of Cupid and Psyche within the exhibition 'The Loggia of Cupid and Psyche - Raffaello and Giovanni da Udine - Colours of Prosperity: Fruits from the Old and New World' Villa Farnesina, Rome April 20 - July 20 2017. The system allows access to the 'digital Loggia' and permits the visitor to navigate freely through the high-resolution panoramic image of the painted ceiling, to admire it from a closer point of view and to consult the results of historical, botanical and scientific analyses performed on the selected species. The system is available online and with an interactive kiosk in the Farnesina building.Source: La Loggia di Amore e Psiche - Raffaello e Giovanni da Udine - I colori della prosperità: Frutti dal Vecchio e Nuovo Mondo, pp. 74–77, 2017
See at:
vcg.isti.cnr.it 
| CNR ExploRA
2017
Contribution to book
Open Access
A public tool suite for modelling interactive applications
Manca M., Paternò F., Santoro C.
Model-based approaches aim to support designers and developers through the use of logical representations able to highlight important aspects. In this chapter, we present a set of tools for task and user interface modelling useful for supporting the design and development of interactive applications. Such tools can be used separately or in an integrated manner within different types of development processes of various types of interactive applications. This tool suite is publicly available and, as such, can be exploited in real-world case studies and university teaching.Source: The Handbook of Formal Methods in Human-Computer Interaction, pp. 505–525, 2017
DOI: 10.1007/978-3-319-51838-1_18
Metrics:
Manca M., Paternò F., Santoro C.
Model-based approaches aim to support designers and developers through the use of logical representations able to highlight important aspects. In this chapter, we present a set of tools for task and user interface modelling useful for supporting the design and development of interactive applications. Such tools can be used separately or in an integrated manner within different types of development processes of various types of interactive applications. This tool suite is publicly available and, as such, can be exploited in real-world case studies and university teaching.Source: The Handbook of Formal Methods in Human-Computer Interaction, pp. 505–525, 2017
DOI: 10.1007/978-3-319-51838-1_18
Metrics:
See at:
ISTI Repository 
| doi.org | link.springer.com | CNR ExploRA
2017
Contribution to book
Restricted
Development of the interactive system 'digital Loggia'
Siotto E., Palma G., Scopigno R.
The VC Lab has developed, in collaboration with the Accademia Nazionale dei Lincei, the Interactive Digital System of the Loggia of Cupid and Psyche within the exhibition 'The Loggia of Cupid and Psyche - Raffaello and Giovanni da Udine - Colours of Prosperity: Fruits from the Old and New World' Villa Farnesina, Rome April 20 - July 20 2017. The system allows access to the 'digital Loggia' and permits the visitor to navigate freely through the high-resolution panoramic image of the painted ceiling, to admire it from a closer point of view and to consult the results of historical, botanical and scientific analyses performed on the selected species. The system is available online and with an interactive kiosk in the Farnesina building.Source: The Loggia of Cupid and Psyche - Raffaello and Giovanni da Udine - Colours of prosperity: Fruits from the Old and New World, pp. 74–77, 2017
Siotto E., Palma G., Scopigno R.
The VC Lab has developed, in collaboration with the Accademia Nazionale dei Lincei, the Interactive Digital System of the Loggia of Cupid and Psyche within the exhibition 'The Loggia of Cupid and Psyche - Raffaello and Giovanni da Udine - Colours of Prosperity: Fruits from the Old and New World' Villa Farnesina, Rome April 20 - July 20 2017. The system allows access to the 'digital Loggia' and permits the visitor to navigate freely through the high-resolution panoramic image of the painted ceiling, to admire it from a closer point of view and to consult the results of historical, botanical and scientific analyses performed on the selected species. The system is available online and with an interactive kiosk in the Farnesina building.Source: The Loggia of Cupid and Psyche - Raffaello and Giovanni da Udine - Colours of prosperity: Fruits from the Old and New World, pp. 74–77, 2017
See at:
vcg.isti.cnr.it | CNR ExploRA
2017
Other
Open Access
Gibbs sampling with JAGS: behind the scenes
Coro G.
Gibbs sampling is a Bayesian inference technique that is used in various scientific domains to generate samples from a certain posterior probability density function, given experimental data. Several software implementations of Gibbs sampling exist, which generally adopt very different approaches, because it is not easy to make a Gibbs sampling implementation exactly correspond to the theoretical approach. In particular, these implementations may use different approximation algorithms to and solutions to sub-steps of the Gibbs sampling process. Scientists working in different domains often use Gibbs sampling software without knowing the details of the implementation. Nevertheless, it is our experience that understanding the implementation can be crucial to enhance the performance of a model, because a software configuration conceived to help the underlying implementation may end in better approximation of the estimated probabilities functions. JAGS (Just Another Gibbs Sampler) is a widely used open-source implementation of Gibbs sampling. Its installation and user's guide are accurate, but do not indicate how the software really implements Gibbs sampling and it is not easy to infer this information from the source code. The aim of this paper is to give a high-level overview of the JAGS algorithms and its extensions that implement Gibbs sampling. Our target reader is a scientist who may want to understand the basic concepts underlying Bayesian inference and Gibbs sampling and who want to be aware of what happens behind the scenes when building a model.
Coro G.
Gibbs sampling is a Bayesian inference technique that is used in various scientific domains to generate samples from a certain posterior probability density function, given experimental data. Several software implementations of Gibbs sampling exist, which generally adopt very different approaches, because it is not easy to make a Gibbs sampling implementation exactly correspond to the theoretical approach. In particular, these implementations may use different approximation algorithms to and solutions to sub-steps of the Gibbs sampling process. Scientists working in different domains often use Gibbs sampling software without knowing the details of the implementation. Nevertheless, it is our experience that understanding the implementation can be crucial to enhance the performance of a model, because a software configuration conceived to help the underlying implementation may end in better approximation of the estimated probabilities functions. JAGS (Just Another Gibbs Sampler) is a widely used open-source implementation of Gibbs sampling. Its installation and user's guide are accurate, but do not indicate how the software really implements Gibbs sampling and it is not easy to infer this information from the source code. The aim of this paper is to give a high-level overview of the JAGS algorithms and its extensions that implement Gibbs sampling. Our target reader is a scientist who may want to understand the basic concepts underlying Bayesian inference and Gibbs sampling and who want to be aware of what happens behind the scenes when building a model.
See at:
ISTI Repository | CNR ExploRA
2017
Doctoral thesis
Restricted
Enhancing digital fabrication with advanced modeling techniques
Malomo L.
A few years ago there were only expensive machineries dedicated to rapid prototyping for professionals or industrial application, while nowadays very affordable solutions are on the market and have become useful tools for experimenting, providing access to final users. Given the digital nature of these machine-controlled manufacturing processes, a clear need exists for computational tools that support this new way of productional thinking. For this reason the ultimate target of this research is to improve the easiness of use of such technologies, providing novel supporting tools and methods to ultimately sustain the concept of democratized design ("fabrication for the masses"). In this thesis we present a novel set of methods to enable, with the available manufacturing devices, new cost-effective and powerful ways of producing objects. The contributions of the thesis are three. The first one is a technique that allows to automatically create a tangible illustrative representation of a 3D model by interlocking together a set of planar pieces. Given an input 3D model, this technique produces the design of flat planar pieces that can be fabricated using a 2D laser cutter, using very cheap material (e.g., cardboard, acrylic, etc.). The produced pieces can be then manually assembled using automatically generated instructions. The second method allows the automatic design of flexible reusable molds, which can be used to produce many copies of an input digital object. The designs produced by this method can be directly sent to a 3D printer and used to liquid-cast multiple replicas using a wide variety of materials. The last technique is a method to fabricate, using a single-material 3D printer, objects with custom elasticity. The base idea is to create a set of microstructures that can be 3D-printed and used to replicate desired mechanical properties (Young's modulus and Poisson's ratio). Such microstructures can be distributed inside voxelized objects to vary their mechanical behavior. We also designed an optimization strategy that, varying the elastic properties inside the object volume, is able to design printable objects with a prescribed mechanical behavior, i.e. they exhibit a target deformation given some input forces.
Malomo L.
A few years ago there were only expensive machineries dedicated to rapid prototyping for professionals or industrial application, while nowadays very affordable solutions are on the market and have become useful tools for experimenting, providing access to final users. Given the digital nature of these machine-controlled manufacturing processes, a clear need exists for computational tools that support this new way of productional thinking. For this reason the ultimate target of this research is to improve the easiness of use of such technologies, providing novel supporting tools and methods to ultimately sustain the concept of democratized design ("fabrication for the masses"). In this thesis we present a novel set of methods to enable, with the available manufacturing devices, new cost-effective and powerful ways of producing objects. The contributions of the thesis are three. The first one is a technique that allows to automatically create a tangible illustrative representation of a 3D model by interlocking together a set of planar pieces. Given an input 3D model, this technique produces the design of flat planar pieces that can be fabricated using a 2D laser cutter, using very cheap material (e.g., cardboard, acrylic, etc.). The produced pieces can be then manually assembled using automatically generated instructions. The second method allows the automatic design of flexible reusable molds, which can be used to produce many copies of an input digital object. The designs produced by this method can be directly sent to a 3D printer and used to liquid-cast multiple replicas using a wide variety of materials. The last technique is a method to fabricate, using a single-material 3D printer, objects with custom elasticity. The base idea is to create a set of microstructures that can be 3D-printed and used to replicate desired mechanical properties (Young's modulus and Poisson's ratio). Such microstructures can be distributed inside voxelized objects to vary their mechanical behavior. We also designed an optimization strategy that, varying the elastic properties inside the object volume, is able to design printable objects with a prescribed mechanical behavior, i.e. they exhibit a target deformation given some input forces.
See at:
etd.adm.unipi.it | CNR ExploRA
2017
Report
Unknown
Introduzione alla gestione di un cluster OpenVMS
Martusciello L., Gennai F.
Introduzione alla gestione di un cluster OpenVMS.Source: ISTI Technical reports, 2017
Martusciello L., Gennai F.
Introduzione alla gestione di un cluster OpenVMS.Source: ISTI Technical reports, 2017
See at: CNR ExploRA
2017
Conference article
Restricted
SELEcTor: Discovering Similar Entities on LinkEd DaTa by Ranking Their Features
Ruback L., Casanova M. A., Renso C., Lucchese C.
Several approaches have been used in the last years to compute similarity between entities. In this paper, we present a novel approach to compute similarity between entities using their features available as Linked Data. The key idea of the proposed framework, called SELEcTor, is to exploit ranked lists of features extracted from Linked Data sources as a representation of the entities we want to compare. The similarity between two entities is thus mapped to the problem of comparing two ranked lists. Our experiments, conducted with museum data from DBpedia, demonstrate that SELEcTor achieves better accuracy than state- of-the-art methods.Source: ICSC 2017 - IEEE 11th International Conference on Semantic Computing, pp. 117–124, San Diego, CA, USA, 30 January-2 February 2017
DOI: 10.1109/icsc.2017.46
Metrics:
Ruback L., Casanova M. A., Renso C., Lucchese C.
Several approaches have been used in the last years to compute similarity between entities. In this paper, we present a novel approach to compute similarity between entities using their features available as Linked Data. The key idea of the proposed framework, called SELEcTor, is to exploit ranked lists of features extracted from Linked Data sources as a representation of the entities we want to compare. The similarity between two entities is thus mapped to the problem of comparing two ranked lists. Our experiments, conducted with museum data from DBpedia, demonstrate that SELEcTor achieves better accuracy than state- of-the-art methods.Source: ICSC 2017 - IEEE 11th International Conference on Semantic Computing, pp. 117–124, San Diego, CA, USA, 30 January-2 February 2017
DOI: 10.1109/icsc.2017.46
Metrics:
See at:
doi.org | ieeexplore.ieee.org | CNR ExploRA
2017
Conference article
Open Access
Searching linked data with a twist of serendipity
Eichler J. S. A., Casanova M. A., Furtado A. L., Ruback L., Leme L. A. P. P., Lopes G. R., Pereira Nunes B., Raffaetà A., Renso C.
Serendipity is defined as the discovery of a thing when one is not searching for it. In other words, serendipity means the discovery of information that provides valuable insights by unveiling previously unknown knowledge. This paper focuses on the problem of Linked Data serendipitous search. It first discusses how to capture a set of serendipity patterns in the context of Linked Data. Then, the paper introduces a Linked Data serendipitous search application, called the Serendipity Over Linked Data Search tool - SOL-Tool. Finally, the paper describes experiments with the tool to illustrate the serendipity effect using DBpedia. The experimental results present a prom-issory score of 90% of unexpectedness for real-world scenarios of the mu-sic domainSource: CAiSE 2017 - Advanced Information Systems Engineering 29th International Conference, pp. 495–510, Essen, Germany, 12-16 June 2017
DOI: 10.1007/978-3-319-59536-8_31
Metrics:
Eichler J. S. A., Casanova M. A., Furtado A. L., Ruback L., Leme L. A. P. P., Lopes G. R., Pereira Nunes B., Raffaetà A., Renso C.
Serendipity is defined as the discovery of a thing when one is not searching for it. In other words, serendipity means the discovery of information that provides valuable insights by unveiling previously unknown knowledge. This paper focuses on the problem of Linked Data serendipitous search. It first discusses how to capture a set of serendipity patterns in the context of Linked Data. Then, the paper introduces a Linked Data serendipitous search application, called the Serendipity Over Linked Data Search tool - SOL-Tool. Finally, the paper describes experiments with the tool to illustrate the serendipity effect using DBpedia. The experimental results present a prom-issory score of 90% of unexpectedness for real-world scenarios of the mu-sic domainSource: CAiSE 2017 - Advanced Information Systems Engineering 29th International Conference, pp. 495–510, Essen, Germany, 12-16 June 2017
DOI: 10.1007/978-3-319-59536-8_31
Metrics:
See at:
Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari | doi.org | link.springer.com | CNR ExploRA
2017
Journal article
Open Access
On the derivative of the stress-strain relation in a no-tension material
Padovani C., Silhavý M.
The stress-strain relation of a no-tension material, used to model masonry structures, is determined by the nonlinear projection of the strain tensor onto the image of the convex cone of negative-semidefinite stresses under the fourth-order tensor of elastic compliances. We prove that the stress-strain relation is indefinitely differentiable on an open dense subset O of the set of all strains. The set O consists of four open connected regions determined by the rank k = 0, 1, 2, 3 of the resulting stress. Further, an equation for the derivative of the stress-strain relation is derived. This equation cannot be solved explicitly in the case of a material of general symmetry, but it is shown that for an isotropic material this leads to the derivative established earlier by Lucchesi et al. (Int J Solid Struct 1996; 33: 1961-1994 and Masonry constructions: Mechanical models and numerical applications. Berlin: Springer, 2008) by different means. For a material of general symmetry, when the tensor of elasticities does not have the representation known in the isotropic case, only general steps leading to the evaluation of the derivative are described.Source: Mathematics and mechanics of solids 22 (2017): 1606–1618. doi:10.1177/1081286515571786
DOI: 10.1177/1081286515571786
Metrics:
Padovani C., Silhavý M.
The stress-strain relation of a no-tension material, used to model masonry structures, is determined by the nonlinear projection of the strain tensor onto the image of the convex cone of negative-semidefinite stresses under the fourth-order tensor of elastic compliances. We prove that the stress-strain relation is indefinitely differentiable on an open dense subset O of the set of all strains. The set O consists of four open connected regions determined by the rank k = 0, 1, 2, 3 of the resulting stress. Further, an equation for the derivative of the stress-strain relation is derived. This equation cannot be solved explicitly in the case of a material of general symmetry, but it is shown that for an isotropic material this leads to the derivative established earlier by Lucchesi et al. (Int J Solid Struct 1996; 33: 1961-1994 and Masonry constructions: Mechanical models and numerical applications. Berlin: Springer, 2008) by different means. For a material of general symmetry, when the tensor of elasticities does not have the representation known in the isotropic case, only general steps leading to the evaluation of the derivative are described.Source: Mathematics and mechanics of solids 22 (2017): 1606–1618. doi:10.1177/1081286515571786
DOI: 10.1177/1081286515571786
Metrics:
See at:
ISTI Repository | Mathematics and Mechanics of Solids | mms.sagepub.com | CNR ExploRA
2017
Bachelor thesis
Open Access
Implementazione di un modulo Network Coding per sistemi di comunicazione multipath in real-time
Fadda C.
L'obiettivo di questo lavoro è stato la creazione di un plugin per il framework di sviluppo di applicazioni multimediali Gstreamer; il framework è open-source. Questo lavoro contribuisce all'implementazione di funzionalità definite nell'IETF draft MP-RTP, ma ad oggi non ancora disponibili, nell'ambito di trasmissioni basate su tecniche multipath, che vedono l'utilizzo del protocollo Multipath Real-time Transport Protocol (MP-RTP). Nello specifico, lo scenario considerato vede la trasmissione di un flusso multimediale in real-time da una camera montata su un Unmanned Aerial Vehicle (UAV) a una postazione fissa di riproduzione a terra. La trasmissione avviene mediante l'utilizzo di più canali fisici di comunicazione in contemporanea (multipath). Il plugin, o modulo di comunicazione, implementato in questo lavoro e descritto nel seguito, aggiunge funzionalità di error correction e di security all'implementazione esistente di MP-RTP. I due obiettivi sono raggiunti con l'integrazione software di tecniche di Network Coding (NC) , nello specifico con l'utilizzo del Random Linear Network Coding (RLNC), che offre protezione dagli errori e intrinseca crittografia dei dati.
Fadda C.
L'obiettivo di questo lavoro è stato la creazione di un plugin per il framework di sviluppo di applicazioni multimediali Gstreamer; il framework è open-source. Questo lavoro contribuisce all'implementazione di funzionalità definite nell'IETF draft MP-RTP, ma ad oggi non ancora disponibili, nell'ambito di trasmissioni basate su tecniche multipath, che vedono l'utilizzo del protocollo Multipath Real-time Transport Protocol (MP-RTP). Nello specifico, lo scenario considerato vede la trasmissione di un flusso multimediale in real-time da una camera montata su un Unmanned Aerial Vehicle (UAV) a una postazione fissa di riproduzione a terra. La trasmissione avviene mediante l'utilizzo di più canali fisici di comunicazione in contemporanea (multipath). Il plugin, o modulo di comunicazione, implementato in questo lavoro e descritto nel seguito, aggiunge funzionalità di error correction e di security all'implementazione esistente di MP-RTP. I due obiettivi sono raggiunti con l'integrazione software di tecniche di Network Coding (NC) , nello specifico con l'utilizzo del Random Linear Network Coding (RLNC), che offre protezione dagli errori e intrinseca crittografia dei dati.
See at:
ISTI Repository | CNR ExploRA
2017
Conference article
Open Access
Reputation evaluation of georeferenced data for crowd-sensed applications
Gusmini M., Jabeur N., Karam R., Melchiori M., Renso C.
Volunteered Geographic Information (VGI) is a process where individuals, supported by enabling technologies, behave like physical sensors to harvest georeferenced content in their surroundings. The value of this, typically heterogeneous, content has been recognized by both researchers and organizations. However, in order to be fruitfully used in various VGI-based types of application reliability and quality of particular VGI content (i.e., Points of Interest) have to be assessed. This evaluation can be based on reputation scores that summarize users' experiences with the specific content. Following this direction, our contribution provides, primarily, a new comprehensive model and a multi-layer architecture for reputation evaluation aimed to assess quality of VGI content. Secondly, we demonstrate the relevance of adopting such a framework through an applicative scenario for recommending touristic itineraries.Source: ANT 2017 - 8th International Conference on Ambient Systems, Networks and Technologies, pp. 656–663, Madeira, Portugal, 16-19 May 2017
DOI: 10.1016/j.procs.2017.05.372
Metrics:
Gusmini M., Jabeur N., Karam R., Melchiori M., Renso C.
Volunteered Geographic Information (VGI) is a process where individuals, supported by enabling technologies, behave like physical sensors to harvest georeferenced content in their surroundings. The value of this, typically heterogeneous, content has been recognized by both researchers and organizations. However, in order to be fruitfully used in various VGI-based types of application reliability and quality of particular VGI content (i.e., Points of Interest) have to be assessed. This evaluation can be based on reputation scores that summarize users' experiences with the specific content. Following this direction, our contribution provides, primarily, a new comprehensive model and a multi-layer architecture for reputation evaluation aimed to assess quality of VGI content. Secondly, we demonstrate the relevance of adopting such a framework through an applicative scenario for recommending touristic itineraries.Source: ANT 2017 - 8th International Conference on Ambient Systems, Networks and Technologies, pp. 656–663, Madeira, Portugal, 16-19 May 2017
DOI: 10.1016/j.procs.2017.05.372
Metrics:
See at:
Procedia Computer Science | Archivio istituzionale della ricerca - Università di Brescia | ISTI Repository | www.sciencedirect.com | CNR ExploRA
2017
Report
Open Access
An edge-fog-cloud platform for anticipatory learning process designed for Internet of Mobile Things
Cao H., Wachowicz M., Renso C. Carlini E.
This paper presents a novel architecture for data analytics targeting an anticipatory learning process in the context of the Internet of Mobile Things. The architecture is geo-distributed and composed by edge, fog, and cloud resources that operate collectively to support such an anticipatory learning process. We designed the architecture to manage large volumes of data streams coming from the IoMT devices, analyze in successive phases climbing up in the hierarchy of resources from edge, fog and cloud. We discuss the characteristics of the analytical tasks at each layer. We notice that the amount of data being transported in the network decreases going from the edge, to the fog and finally to the cloud, while the complexity of the computation increases. Such design allows to support different kind of analytical needs, from real-time to historical according to the type of resource being utilized. We have implemented the proposed architecture as a proof-of-concept using the transit data feeds from the area of Greater Moncton, Canada.Source: Research report, 2017
Cao H., Wachowicz M., Renso C. Carlini E.
This paper presents a novel architecture for data analytics targeting an anticipatory learning process in the context of the Internet of Mobile Things. The architecture is geo-distributed and composed by edge, fog, and cloud resources that operate collectively to support such an anticipatory learning process. We designed the architecture to manage large volumes of data streams coming from the IoMT devices, analyze in successive phases climbing up in the hierarchy of resources from edge, fog and cloud. We discuss the characteristics of the analytical tasks at each layer. We notice that the amount of data being transported in the network decreases going from the edge, to the fog and finally to the cloud, while the complexity of the computation increases. Such design allows to support different kind of analytical needs, from real-time to historical according to the type of resource being utilized. We have implemented the proposed architecture as a proof-of-concept using the transit data feeds from the area of Greater Moncton, Canada.Source: Research report, 2017
See at:
arxiv.org | ISTI Repository | CNR ExploRA
2017
Journal article
Open Access
Using an ontology for representing the knowledge on literary texts: the Dante Alighieri case study
Bartalesi Lenzi V., Meghini C.
This paper describes a digital library developed within the "Towards a Digital Dante Encyclopaedia" project, a three years Italian National Research Project that aims at building services supporting scholars in creating, evolving and consulting a digital encyclopaedia of Dante Alighieri's works. The digital library is based on a knowledge base storing knowledge on the primary sources that Dante refers to in his works, i.e. the works of other authors Dante refers to in his texts. At present, this information is scattered on many paper books, making it difficult to systematically overview the cultural background of Dante and to obtain a well-founded perception of how this background was gradually set up in time. The same applies also to other authors, therefore the applicability of our work extends well beyond the specific author we are considering in our project. The digital library that we are building is based on an ontology for representing the knowledge on one author's works and on the primary sources embedded in the commentaries to these works. Following this approach, a semantic network of Dante's works and of references to primary sources of these works was created. Furthermore, a web application allowing users to explore the semantic network in various ways and to visualize statistical information about the references as charts and tables was developed.Source: Semantic web (Print) 8 (2017): 385–394. doi:10.3233/SW-150198
DOI: 10.3233/sw-150198
Metrics:
Bartalesi Lenzi V., Meghini C.
This paper describes a digital library developed within the "Towards a Digital Dante Encyclopaedia" project, a three years Italian National Research Project that aims at building services supporting scholars in creating, evolving and consulting a digital encyclopaedia of Dante Alighieri's works. The digital library is based on a knowledge base storing knowledge on the primary sources that Dante refers to in his works, i.e. the works of other authors Dante refers to in his texts. At present, this information is scattered on many paper books, making it difficult to systematically overview the cultural background of Dante and to obtain a well-founded perception of how this background was gradually set up in time. The same applies also to other authors, therefore the applicability of our work extends well beyond the specific author we are considering in our project. The digital library that we are building is based on an ontology for representing the knowledge on one author's works and on the primary sources embedded in the commentaries to these works. Following this approach, a semantic network of Dante's works and of references to primary sources of these works was created. Furthermore, a web application allowing users to explore the semantic network in various ways and to visualize statistical information about the references as charts and tables was developed.Source: Semantic web (Print) 8 (2017): 385–394. doi:10.3233/SW-150198
DOI: 10.3233/sw-150198
Metrics:
See at:
ISTI Repository | content.iospress.com | Semantic Web | CNR ExploRA
2017
Journal article
Open Access
Using SPDY to improve Web 2.0 over satellite links
Cardaci A., Caviglione L., Ferro E., Gotta A.
During the last decade, the Web has grown in terms of complexity, while the evolution of the HTTP (Hypertext Transfer Protocol) has not experienced the same trend. Even if HTTP 1.1 adds improvements like persistent connections and request pipelining, they are not decisive, especially in modern mixed wireless/wired networks, often including satellites. The latter play a key role for accessing the Internet everywhere, and they are one of the preferred methods to provide connectivity in rural areas or for disaster relief operations. However, they suffer of high-latency and packet losses, which degrade the browsing experience. Consequently, the investigation of protocols mitigating the limitations of HTTP, also in challenging scenarios, is crucial both for the industry and the academia. In this perspective, SPDY, which is a protocol optimized for the access to Web 2.0 contents over fixed and mobile devices, could be suitable also for satellite links. Therefore, this paper evaluates its performance when used both in real and emulated satellite scenarios. Results indicate the effectiveness of SPDY if compared with HTTP, but at the price of a more fragile behavior when in the presence of errors. Besides, SPDY can also reduce the transport overhead experienced by middleboxes typically deployed by service providers using satellite links.Source: International journal of satellite communications and networking (Online) 35 (2017): 307–321. doi:10.1002/sat.1185
DOI: 10.1002/sat.1185
Metrics:
Cardaci A., Caviglione L., Ferro E., Gotta A.
During the last decade, the Web has grown in terms of complexity, while the evolution of the HTTP (Hypertext Transfer Protocol) has not experienced the same trend. Even if HTTP 1.1 adds improvements like persistent connections and request pipelining, they are not decisive, especially in modern mixed wireless/wired networks, often including satellites. The latter play a key role for accessing the Internet everywhere, and they are one of the preferred methods to provide connectivity in rural areas or for disaster relief operations. However, they suffer of high-latency and packet losses, which degrade the browsing experience. Consequently, the investigation of protocols mitigating the limitations of HTTP, also in challenging scenarios, is crucial both for the industry and the academia. In this perspective, SPDY, which is a protocol optimized for the access to Web 2.0 contents over fixed and mobile devices, could be suitable also for satellite links. Therefore, this paper evaluates its performance when used both in real and emulated satellite scenarios. Results indicate the effectiveness of SPDY if compared with HTTP, but at the price of a more fragile behavior when in the presence of errors. Besides, SPDY can also reduce the transport overhead experienced by middleboxes typically deployed by service providers using satellite links.Source: International journal of satellite communications and networking (Online) 35 (2017): 307–321. doi:10.1002/sat.1185
DOI: 10.1002/sat.1185
Metrics:
See at:
ISTI Repository | International Journal of Satellite Communications and Networking | onlinelibrary.wiley.com | CNR ExploRA
2017
Journal article
Open Access
Never drive alone: boosting carpooling with network analysis
Guidotti R., Nanni M., Rinzivillo S., Giannotti F., Pedreschi D
Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its externalities, but experience shows that it is difficult to boost the adoption of carpooling to significant levels. In our study, we analyze the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from travelers in a given territory, we construct the network of potential carpooling, where nodes correspond to the users and links to possible shared trips, and analyze the structural and topological properties of this network, such as network communities and node ranking, to the purpose of highlighting the subpopulations with higher chances to create a carpooling community, and the propensity of users to be either drivers or passengers in a shared car. Our study is anchored to reality thanks to a large mobility dataset, consisting of the complete one-month-long GPS trajectories of approx. 10% circulating cars in Tuscany. We also analyze the aggregated outcome of carpooling by means of empirical simulations, showing how an assignment policy exploiting the network analytic concepts of communities and node rankings minimizes the number of single occupancy vehicles observed after carpooling.Source: Information systems (Oxf.) 64 (2017): 237–257. doi:10.1016/j.is.2016.03.006
DOI: 10.1016/j.is.2016.03.006
Project(s): PETRA
Metrics:
Guidotti R., Nanni M., Rinzivillo S., Giannotti F., Pedreschi D
Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its externalities, but experience shows that it is difficult to boost the adoption of carpooling to significant levels. In our study, we analyze the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from travelers in a given territory, we construct the network of potential carpooling, where nodes correspond to the users and links to possible shared trips, and analyze the structural and topological properties of this network, such as network communities and node ranking, to the purpose of highlighting the subpopulations with higher chances to create a carpooling community, and the propensity of users to be either drivers or passengers in a shared car. Our study is anchored to reality thanks to a large mobility dataset, consisting of the complete one-month-long GPS trajectories of approx. 10% circulating cars in Tuscany. We also analyze the aggregated outcome of carpooling by means of empirical simulations, showing how an assignment policy exploiting the network analytic concepts of communities and node rankings minimizes the number of single occupancy vehicles observed after carpooling.Source: Information systems (Oxf.) 64 (2017): 237–257. doi:10.1016/j.is.2016.03.006
DOI: 10.1016/j.is.2016.03.006
Project(s): PETRA
Metrics:
See at:
ISTI Repository | Information Systems | www.sciencedirect.com | CNR ExploRA
2017
Journal article
Open Access
MyWay: location prediction via mobility profiling
Trasarti R., Guidotti R., Monreale A., Giannotti F.
Forecasting the future positions of mobile users is a valuable task allowing us to operate efficiently a myriad of different applications which need this type of information. We propose MyWay, a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the individual strategy uses only the user individual mobility profile, the collective strategy takes advantage of all users individual systematic behaviors, and the hybrid strategy that is a combination of the previous two. A key point is that MyWay only requires the sharing of individual mobility profiles, a concise representation of the user's movements, instead of raw trajectory data revealing the detailed movement of the users. We evaluate the prediction performances of our proposal by a deep experimentation on large real-world data. The results highlight that the synergy between the individual and collective knowledge is the key for a better prediction and allow the system to outperform the state-of-art methods.Source: Information systems (Oxf.) 64 (2017): 350–367. doi:10.1016/j.is.2015.11.002
DOI: 10.1016/j.is.2015.11.002
Project(s): SoBigData
Metrics:
Trasarti R., Guidotti R., Monreale A., Giannotti F.
Forecasting the future positions of mobile users is a valuable task allowing us to operate efficiently a myriad of different applications which need this type of information. We propose MyWay, a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the individual strategy uses only the user individual mobility profile, the collective strategy takes advantage of all users individual systematic behaviors, and the hybrid strategy that is a combination of the previous two. A key point is that MyWay only requires the sharing of individual mobility profiles, a concise representation of the user's movements, instead of raw trajectory data revealing the detailed movement of the users. We evaluate the prediction performances of our proposal by a deep experimentation on large real-world data. The results highlight that the synergy between the individual and collective knowledge is the key for a better prediction and allow the system to outperform the state-of-art methods.Source: Information systems (Oxf.) 64 (2017): 350–367. doi:10.1016/j.is.2015.11.002
DOI: 10.1016/j.is.2015.11.002
Project(s): SoBigData
Metrics:
See at:
Information Systems | ISTI Repository | Information Systems | www.sciencedirect.com | CNR ExploRA
2017
Contribution to book
Open Access
Comparison of chemical propulsion solutions for large space debris active removal
Tadini P., Tancredi U., Grassi M., Pardini C., Anselmo L., Shimada T., Deluca L. T.
In recent years, the development of active removal missions, to face the growing risk of catastrophic collisions and new debris generation due to the high density of orbital debris in LEO, is widely discussed in the international space community. Besides legal and political issues, active removal solutions are strongly hampered by the high costs involved. Chemical propulsion might represent the preferred way to carry out the controlled reentry of large abandoned objects, and, in the perspective of cost reduction, hybrid rocket technology is considered a valuable option, due to the potential lower fabrication and operational costs, if compared with bipropellant liquid systems. The possibility to use nontoxic propellants, besides their lower prices, reduces the complexity of handling, storability, and loading operations, decreasing the connected costs and avoiding the need of a special staff. Solid rocket technology allows for very small and compact motor units, although without throttleability and reignition capability and characterized by lower safety level than liquid and hybrid systems. This study deals with the preliminary design and mass budget of solid, liquid, and hybrid propulsion modules, as well as their comparison, to be used for active removal of large abandoned rockets in LEO.Source: Chemical Rocket Propulsion - A Comprehensive Survey of Energetic Materials, edited by Luigi T. De Luca, Toru Shimada, Valery P. Sinditskii, Max Calabro, pp. 985–1011, 2017
DOI: 10.1007/978-3-319-27748-6_41
Metrics:
Tadini P., Tancredi U., Grassi M., Pardini C., Anselmo L., Shimada T., Deluca L. T.
In recent years, the development of active removal missions, to face the growing risk of catastrophic collisions and new debris generation due to the high density of orbital debris in LEO, is widely discussed in the international space community. Besides legal and political issues, active removal solutions are strongly hampered by the high costs involved. Chemical propulsion might represent the preferred way to carry out the controlled reentry of large abandoned objects, and, in the perspective of cost reduction, hybrid rocket technology is considered a valuable option, due to the potential lower fabrication and operational costs, if compared with bipropellant liquid systems. The possibility to use nontoxic propellants, besides their lower prices, reduces the complexity of handling, storability, and loading operations, decreasing the connected costs and avoiding the need of a special staff. Solid rocket technology allows for very small and compact motor units, although without throttleability and reignition capability and characterized by lower safety level than liquid and hybrid systems. This study deals with the preliminary design and mass budget of solid, liquid, and hybrid propulsion modules, as well as their comparison, to be used for active removal of large abandoned rockets in LEO.Source: Chemical Rocket Propulsion - A Comprehensive Survey of Energetic Materials, edited by Luigi T. De Luca, Toru Shimada, Valery P. Sinditskii, Max Calabro, pp. 985–1011, 2017
DOI: 10.1007/978-3-319-27748-6_41
Metrics:
See at:
ISTI Repository | doi.org | link.springer.com | CNR ExploRA
2017
Journal article
Open Access
Evaluating the impact of smart technologies on harbor's logistics via BPMN modeling and simulation
Cimino M. G., Palumbo F., Vaglini G., Ferro E., Celandroni N., La Rosa D.
A smart Information and Communication Technology (ICT) enables a synchronized interplay of different key factors, aligning infrastructures, consumers, and governmental policy-making needs. In the harbor's logistics context, smart ICT has been driving a multi-year wave of growth. Although there is a standalone value in the technological innovation of a task, the impact of a new smart technology is unknown without quantitative analysis methods on the end-to-end process. In this paper, we first present a review of the smart ICT for marine container terminals, and then we propose to evaluate the impact of such smart ICT via business process model and notation (BPMN) modeling and simulation. The proposed approach is discussed in a real-world modeling and simulation analysis, made on a pilot terminal of the Port of Leghorn (Italy).Source: Information technology and management (Dordrecht. Online) 18 (2017): 223–239. doi:10.1007/s10799-016-0266-4
DOI: 10.1007/s10799-016-0266-4
Metrics:
Cimino M. G., Palumbo F., Vaglini G., Ferro E., Celandroni N., La Rosa D.
A smart Information and Communication Technology (ICT) enables a synchronized interplay of different key factors, aligning infrastructures, consumers, and governmental policy-making needs. In the harbor's logistics context, smart ICT has been driving a multi-year wave of growth. Although there is a standalone value in the technological innovation of a task, the impact of a new smart technology is unknown without quantitative analysis methods on the end-to-end process. In this paper, we first present a review of the smart ICT for marine container terminals, and then we propose to evaluate the impact of such smart ICT via business process model and notation (BPMN) modeling and simulation. The proposed approach is discussed in a real-world modeling and simulation analysis, made on a pilot terminal of the Port of Leghorn (Italy).Source: Information technology and management (Dordrecht. Online) 18 (2017): 223–239. doi:10.1007/s10799-016-0266-4
DOI: 10.1007/s10799-016-0266-4
Metrics:
See at:
Information Technology and Management | ISTI Repository | Information Technology and Management | link.springer.com | CNR ExploRA
2017
Journal article
Open Access
Estimating fisheries reference points from catch and resilience
Froese R., Demirel N., Coro G., Kleisner K., Winker H.
This study presents a Monte Carlo method (CMSY) for estimating fisheries reference points from catch, resilience and qualitative stock status information on data-limited stocks. It also presents a Bayesian state-space implementation of the Schaefer production model (BSM), fitted to catch and biomass or catch-per-unit-of-effort (CPUE) data. Special emphasis was given to derive informative priors for productivity, unexploited stock size, catchability and biomass from population dynamics theory. Both models gave good predictions of the maximum intrinsic rate of population increase r, unexploited stock size k and maximum sustainable yield MSY when validated against simulated data with known parameter values. CMSY provided, in addition, reasonable predictions of relative biomass and exploitation rate. Both models were evaluated against 128 real stocks, where estimates of biomass were available from full stock assessments. BSM estimates of r, k and MSY were used as benchmarks for the respective CMSY estimates and were not significantly different in 76% of the stocks. A similar test against 28 data-limited stocks, where CPUE instead of biomass was available, showed that BSM and CMSY estimates of r, k and MSY were not significantly different in 89% of the stocks. Both CMSY and BSM combine the production model with a simple stock-recruitment model, accounting for reduced recruitment at severely depleted stock sizes.Source: Fish and fisheries (Oxf., Online) 18 (2017): 506–526. doi:10.1111/faf.12190
DOI: 10.1111/faf.12190
Project(s): BlueBRIDGE, ECOKNOWS
Metrics:
Froese R., Demirel N., Coro G., Kleisner K., Winker H.
This study presents a Monte Carlo method (CMSY) for estimating fisheries reference points from catch, resilience and qualitative stock status information on data-limited stocks. It also presents a Bayesian state-space implementation of the Schaefer production model (BSM), fitted to catch and biomass or catch-per-unit-of-effort (CPUE) data. Special emphasis was given to derive informative priors for productivity, unexploited stock size, catchability and biomass from population dynamics theory. Both models gave good predictions of the maximum intrinsic rate of population increase r, unexploited stock size k and maximum sustainable yield MSY when validated against simulated data with known parameter values. CMSY provided, in addition, reasonable predictions of relative biomass and exploitation rate. Both models were evaluated against 128 real stocks, where estimates of biomass were available from full stock assessments. BSM estimates of r, k and MSY were used as benchmarks for the respective CMSY estimates and were not significantly different in 76% of the stocks. A similar test against 28 data-limited stocks, where CPUE instead of biomass was available, showed that BSM and CMSY estimates of r, k and MSY were not significantly different in 89% of the stocks. Both CMSY and BSM combine the production model with a simple stock-recruitment model, accounting for reduced recruitment at severely depleted stock sizes.Source: Fish and fisheries (Oxf., Online) 18 (2017): 506–526. doi:10.1111/faf.12190
DOI: 10.1111/faf.12190
Project(s): BlueBRIDGE
, ECOKNOWS Metrics:
See at:
Aperta - TÜBİTAK Açık Arşivi | OceanRep | Fish and Fisheries | ISTI Repository | Fish and Fisheries | onlinelibrary.wiley.com | CNR ExploRA
2017
Journal article
Open Access
RLNC in satellite networks: a cooperative scenario for delivering M2M traffic
Bacco M., Gotta A.
The fraction of machine-to-machine traffic carried by satellite networks is increasing, and an efficient delivery is required in order to enable a large set of applications that can benefit from the advantages provided by the use of satellites. This work analyses the use of random linear network coding techniques in land mobile satellite channels to reliably deliver machine-to-machine traffic to mobile nodes in urban areas. The considered scenario takes into account a cooperative coverage extension in land mobile satellite vehicular networks, where the use of random linear network coding techniques can remove the need for any fixed equipment on the ground at least in urban environments, where the density of mobile nodes is typically high.Source: International journal of satellite communications and networking (Print) 35 (2017): 605–620. doi:10.1002/sat.1220
DOI: 10.1002/sat.1220
Metrics:
Bacco M., Gotta A.
The fraction of machine-to-machine traffic carried by satellite networks is increasing, and an efficient delivery is required in order to enable a large set of applications that can benefit from the advantages provided by the use of satellites. This work analyses the use of random linear network coding techniques in land mobile satellite channels to reliably deliver machine-to-machine traffic to mobile nodes in urban areas. The considered scenario takes into account a cooperative coverage extension in land mobile satellite vehicular networks, where the use of random linear network coding techniques can remove the need for any fixed equipment on the ground at least in urban environments, where the density of mobile nodes is typically high.Source: International journal of satellite communications and networking (Print) 35 (2017): 605–620. doi:10.1002/sat.1220
DOI: 10.1002/sat.1220
Metrics:
See at:
ISTI Repository | International Journal of Satellite Communications and Networking | onlinelibrary.wiley.com | CNR ExploRA