Signals and Images in Sea Technologies
Moroni D., Salvetti O.
Source: Journal of marine science and engineering 41 (2021). doi:10.3390/jmse9010041
DOI: 10.3390/jmse9010041
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Journal of Marine Science and Engineering 
| ISTI Repository | CNR ExploRA | Journal of Marine Science and Engineering | Journal of Marine Science and Engineering | ZENODO | Hal-Diderot 
| Hal-Diderot | Hal-Diderot
Progetto DiOncoGen CloudPathology - Secondo test di valutazione delle informazioni sul secondo dataset
Martinelli M., Bruno A., Moroni D.
Il presente documento fornisce i risultati del secondo test di valutazione del secondo dataset ricevuto nell'ambito del progetto DiOncoGen-CloudPathology.Source: Project report, DiOncoGen CloudPathology, 2021
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CNR ExploRA
Barilla AgroSat+ Server, Client e Modelli
Bruno A., Moroni D., Martinelli M.
Server, Client e Modelli del Progetto Barilla AgroSat+Source: ISTI Project report, Barilla Agrosat+, 2021
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CNR ExploRA
Ti Assisto - Sistema Informativo
Martinelli M., Deluca R., Moroni D.
Il sistema informativo, le piattaforme pregresse, privacy, requisiti
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CNR ExploRA
Barilla Agrosat+ Organi, aggiornamenti, confronti
Bruno A., Moroni D., Martinelli M.
Aggiornamenti e confronti. Progetto Barilla Agrosat+Source: ISTI Project report, AgroSat+, 2021
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CNR ExploRA
Learning topology: bridging computational topology and machine learning
Moroni D., Pascali M. A.
Topology is a classical branch of mathematics, born essentially from Euler's studies in the XVII century, which deals with the abstract notion of shape and geometry. Last decades were characterised by a renewed interest in topology and topology-based tools, due to the birth of computational topology and Topological Data Analysis (TDA). A large and novel family of methods and algorithms computing topological features and descriptors (e.g. persistent homology) have proved to be effective tools for the analysis of graphs, 3d objects, 2D images, and even heterogeneous datasets. This survey is intended to be a concise but complete compendium that, offering the essential basic references, allows you to orient yourself among the recent advances in TDA and its applications, with an eye to those related to machine learning and deep learning.Source: ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges, Milan, Italy - Fully virtual event, 11/01/2021
DOI: 10.1007/978-3-030-68821-9_20
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link.springer.com | ISTI Repository | CNR ExploRA | link.springer.com
Barilla Agrosat+ - Riorganizzazione task e nuovi modelli
Bruno A., Moroni D., Martinelli M.
Riorganizzazione task e nuovi modelli, integrazione app mobile, sito Web, modelli di AI, progetto Barilla Agrosat+ - Presentazione draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
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CNR ExploRA
Improving Plant Disease Classification by Adaptive Minimal Ensembling
Bruno A., Moroni D., Dainelli R., Rocchi L., Toscano P., Ferrari E., Martinelli M.
Plant disease diagnosis is a challenging and time consuming process. In recent years, the evolution of neural network technologies has made it possible to improve automatic recognition. In this article, we propose a novel method to improve the state of the art in plant disease classification. Using as baseline EfficientNet, a recent and advanced family of architectures, we have devised and applied specific design choices, namely stratification, refining validation, regularization and minimal ensembling, using specific
transfer learning, optimizer and accuracy test. Our method was tested on PlanVillage as baseline, a public reference dataset used to benchmark models' performances in this domain in both its original and augmented versions, with 55,448 and 61,486 images, respectively. We noticeably improved the state of the art of PlantVillage classification by achieving zero errors in both the original and augmented dataset. In addition, the proposed method requires fewer parameters than the previous state of the art.
Results shown were obtained using PyTorch to train, test and validate the models; reproducibility is granted by the provision of exhaustive details
including hyperparameters used in the experimentation. A Web interface is also made publicly available to test the proposed methods.Source: ISTI Working papers, 2021
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CNR ExploRA
Barilla Agrosat+ - Aggiornamento modelli e Beta release
Bruno A., Moroni D., Martinelli M.
Aggiornamento Modelli di AI, rilascio Beta release, progetto Barilla Agrosat+ - Presentazione nuovo draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
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CNR ExploRA
A System for Neuromotor Based Rehabilitation on a Passive Robotic Aid
Righi M., Magrini M., Dolciotti C., Moroni D.
In the aging world population, the occurrence of neuromotor deficits arising from stroke and other medical conditions is expected to grow, demanding the design of new and more effective approaches to rehabilitation. In this paper, we show how the combination of robotic technologies with progress in exergaming methodologies may lead to the creation of new rehabilitation protocols favoring motor re-learning. To this end, we introduce the Track-Hold system for neuromotor rehabilitation based on a passive robotic arm and integrated software. A special configuration of weights on the robotic arm fully balances the weight of the patients' arm, allowing them to perform a purely neurological task, overcoming the muscular effort of similar free-hand exercises. A set of adaptive and configurable exercises are proposed to patients through a large display and a graphical user interface. Common everyday tasks are also proposed for patients to learn again the associated actions in a persistent way, thus improving life independence. A data analysis module was also designed to monitor progress and compute indices of post-stroke neurological damage and Parkinsonian-type disorders. The system was tested in the lab and in a pilot project involving five patients in the post-stroke chronic stage with partial paralysis of the right upper limb, showing encouraging preliminary results.Source: Sensors (Basel) 21 (2021). doi:10.3390/s21093130
DOI: 10.3390/s21093130
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Europe PubMed Central | ISTI Repository | CNR ExploRA | Sensors | Sensors
Smart parking systems: reviewing thelLiterature, architecture and ways forward
Biyik C., Allam Z., Pieri G., Moroni D., O'fraifer M., O'connell E., Olariu S., Khalid M.
The Internet of Things (IoT) has come of age, and complex solutions can now be implemented seamlessly within urban governance and management frameworks and processes. For cities, growing rates of car ownership are rendering parking availability a challenge and lowering the quality of life through increased carbon emissions. The development of smart parking solutions is thus necessary to reduce the time spent looking for parking and to reduce greenhouse gas emissions. The principal role of this research paper is to analyze smart parking solutions from a technical perspective, underlining the systems and sensors that are available, as documented in the literature. The review seeks to provide comprehensive insights into the building of smart parking solutions. A holistic survey of the current state of smart parking systems should incorporate the classification of such systems as big vehicular detection technologies. Finally, communication modules are presented with clarity.Source: Smart cities (Basel) 4 (2021): 623–642. doi:10.3390/smartcities4020032
DOI: 10.3390/smartcities4020032
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CNR ExploRA | Smart Cities | www.mdpi.com | Hal-Diderot | Hal-Diderot | Hal-Diderot | Smart Cities
TiAssisto - Obiettivo Operativo 3
Martinelli M., Galesi G., Tampucci M., Moroni D.
Presentazione Kick-Off Meeting Bando Ricerca COVID-19 Regione Toscana - Progetto TiAssisto Obiettivo Operativo 3.Source: ISTI Project report, TIAssisto, 2021
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CNR ExploRA
TiAssisto - Obiettivo Operativo 4
Martinelli M., Bruno A., Moroni D.
Presentazione Kick-Off Meeting Bando Ricerca COVID-19 Regione Toscana Progetto TiAssisto Obiettivo Operativo 4.Source: ISTI Project report, TIAssisto, 2021
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CNR ExploRA
Barilla Agrosat+ - Insetti, aggiornamento modelli, merge, gestore richiesta, et al.
Bruno A., Moroni D., Martinelli M.
Insetti, aggiornamento modelli, merge, gestore richiesta, et al.Source: ISTI Project report, Barilla Agrosat+, 2021
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CNR ExploRA
Mediterranean diet mitigates acute mountain sickness
Agazzi G. C., Valoti P., Bastiani L., Denoth F., Pratali Ll., D'Angelo G., Carrara B., Parigi G. B., Malanninom., Spinelli A., Calderoli A., Orizio L., Giardini G., Salvetti O., Moroni D., Martinelli M., Mrakic Sposta S.
A pilot study was conducted in the framework of the Save the Mountains initiative, an education and sustainability project, promoted by Italian Alpine Club of Bergamo, Bergamo section of the National Alpine Association, Province of Bergamo, Observatory for the Bergamasque Mountains and Alpine and Speleological Rescue. As a part of this study, an anonymous online questionnaire was designed and prepared, collecting lifestyle information (eating habits, alcohol, tobacco, sleep, exercise) of the mountaineers in order to recommend specific measures useful for staying in mountain areas and for preventing individual risk factors related to lifestyle and Acute Mountain Sickness (AMS): http://altamontagna.isti.cnr.it:8080/Stiledivita/.
The study will continue the collection of questionnaire responses until at least the end of Summer 2021; at the time of writing (February 2021), 804 questionnaire responses were already collected and analyzed. The initial sample refers to the people who attended mountain huts in the Orobie Alps; then the online questionnaire form was publicly extended to other regions. About 99% of the interviewed people are Italian; the rest are Swiss, Polish, British and French people. Mean age is 48 years(+/-15), 62% males and 38% females. Only 8.8% of them answered they suffered from altitude sickness, but self-reported Lake Louise Score (LLS) classified the 21.3% of people with Acute Mountain Sickness (AMS), light AMS 15,4% and severe AMS 5,8% (To assess AMS the original LLS questionnaire was used: AMS is classified as severe when a headache is present and the LLS is greater than 5, it is instead light when there is a headache and the LLS is between 3 and 5, else is normal).
The Mediterranean Diet's adherence, collected as the frequency of food items consumption, was assessed by the MEDI-LITE score, a validated questionnaire, ranging from 0 to 13. In this sample, a median score of 8 was found, while the 25th percentile corresponds to a score lower than 6 and the 75th percentile to a score greater than 9. The 14% of the sample resulted in being not adherent to the Mediterranean diet, the 51% was in the mean, the 35% was adherent. This study confirms that the predisposing factor most associated with the AMS is "having had the same episode in the past" (OR 2.50, CI 1.88/3.13), having sleep disturbs (OR 1.29, CI 1.03 /1.55), age (OR -0.03, CI -0.35/-0.02). Moreover, it underlines that lifestyle is important with respect to risk to develop the AMS: actually, despite the structural limitations of surveys, this study pointed out that lifestyle contributes to mitigating the risk of developing the AMS (Mediterranean diet score OR - 0.34, CI -0.64 -> - 0.55). Gender, smoke and high physical activity are instead not significant. Future studies should investigate more deeply how lifestyle can change the impact on high altitude diseases.Source: ISMM2021 - Virtual XIII World Congress on mountain medicine, Online Conference, June 14-16, 2021
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CNR ExploRA
Barilla AgroSat+ - Preparazione al "Test Day"
Bruno A., Moroni D., Martinelli M.
Nuovi modelli di AI, progetto Barilla Agrosat+ - Conclusione articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
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CNR ExploRA
Effects of PC6 Nei guan stimulation on middle cerebral artery blood flow during acute normobaric hypoxia: results from a prospective crossover pilot study
Pecchio O., Martinelli M., Lupi G., Giardini G., Caligiana L., Bonin S., Scalese M., Salvetti O., Moroni D., Bastiani L.
Cerebral blood flow (CBF) is significantly influenced by exposure to hypoxia, both hypobaric and normobaric. Alterations in cerebral blood flow can play a crucial role in the pathogenesis of acute mountain sickness (AMS) and its symptoms, especially headache, dizziness and nausea. Acupuncture has been proven to be effective in treating some cerebrovascular disorders and PC6 Nei Guan stimulation seems to enhance cerebral blood flow. Therefore we have hypothesized that PC6 Nei Guan stimulation could affect CBF in acute hypoxia and it could be used to contrast AMS symptoms. We evaluated blood flow in middle cerebral artery (MCA) in normoxia and after 15 minutes in normobaric hypoxia (FIO2 14%
corresponding to 3,600 m.a.s.l.) in basal conditions and after PC6 Nei Guan stimulation, both by needle and by pressure. PC6 stimulation seems to counteract the effect of acute normobaric hypoxia on end-diastolic velocity (EDV) in MCA, especially after acupuncture and reduces significantly systolic and diastolic blood pressure. A re-balance of CBF could control some AMS symptoms, but further studies are necessary.Source: Sensors (Basel) (2021).
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ISTI Repository | CNR ExploRA
TiAssisto 0.0.3 - Analisi del flusso di funzionamento della piattaforma di telemedicina - Aggiornamento 26/7/2021
Bruno A., Martinelli M., Moroni D., Bastiani L., Pratali L., Cicalini D., Memmini S., Tomei A.
Descrizione del flusso di funzionamento della piattaforma di telemedicina TiAssisto: aggiornamenti ed estensioni.Source: ISTI Project report, TIAssisto O.O.3, 2021
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CNR ExploRA
Progetto DIONCOGEN. Rapporto Attività CNR-ISTI
Martinelli M., Moroni D.
Progetto DIONCOGEN. Rapporto Attività CNR-ISTISource: ISTI Project report, DiOncoGen CloudPathology, 2021
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CNR ExploRA
Signals and images in sea technologies
Moroni D., Salvetti O.
Life below water is the 14th Sustainable Development Goal (SDG) envisaged by the United Nations and is aimed at conserving and sustainably using the oceans, seas and marine resources for sustainable development. It is not difficult to argue that Signals and Image technologies may play an essential role in achieving the foreseen targets linked to SDG 14. Indeed, besides increasing general knowledge of ocean health by means of data analysis, methodologies based on signal and image processing can be helpful in environmental monitoring, in protecting and restoring ecosystems, in finding new sensor technologies for green routing and eco-friendly ships, in providing tools for implementing best practices for sustainable fishing, as well as in defining frameworks and intelligent systems for enforcing sea law and making the sea a safer and more secure place. Imaging is also a key element for the exploration of the underwater world for various scopes, ranging from the predictive maintenance of sub-sea pipelines and other infrastructures to the discovery, documentation and protection of the sunken cultural heritage. The main scope of this Special Issue has been to investigate the techniques and ICT approaches, and in particular the study and application of signal- and image-based methods and, in turn, to explore the advantages of their application to the main areas mentioned above.Source: Basel: MDPI AG, 2021
DOI: 10.3390/books978-3-0365-1355-3
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ISTI Repository | CNR ExploRA | www.mdpi.com