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2021 Report Unknown
Progetto DIONCOGEN. Rapporto Attività CNR-ISTI
Martinelli M., Benassi A., Bruno A., Moroni D.
Progetto DIONCOGEN. Rapporto Attività CNR-ISTISource: ISTI Project report, DiOncoGen CloudPathology, 2021

See at: CNR ExploRA


2020 Other Unknown
Segnali e Immagini
Martinelli M., Benassi A.
Materiale didattico per il corso "Altre attività utili per l'inserimento nel mondo del lavoro", rif. Prof. Ing. Andrea Ginghiali, Ingegneria Biomedica

See at: CNR ExploRA


2020 Report Unknown
Barilla AgroSat+ Quarto aggiornamento
Benassi A., Bruno A., Galesi G., Moroni D., Pardini F., Ovidio Salvetti O., Martinelli M.
Prototipi vari per progetto Barilla Agrosat+.Source: Project report, AgroSat+, 2020

See at: CNR ExploRA


2019 Report Unknown
Deep learning in precision agriculture
Martinelli M., Benassi A., Pardini F., Righi M., Salvetti O., Moroni D.
The work described in this research report is part of the activities carried out within the Scientific Collaboration between the Laboratory of Signals and Images at CNR-ISTI and CNR-IBIMET.Source: Research report, 2019

See at: CNR ExploRA


2019 Report Unknown
SCIADRO Algorithms for real-time object detection and recognition
Martinelli M., Benassi A., Salvetti O., Moroni D.
The purpose of this research report is to describe the final prototype implementing algorithms for real-time object detection and recognition.Source: Project report, SCIADRO, 2019

See at: CNR ExploRA


2020 Report Unknown
Forecasting industrial components life cycle: Futura Prototype 1
Martinelli M., Moroni D., Pardini F., Benassi A., Salvetti O.
The purpose of this research report is to describe the first working prototype able to forecast the life cycle of an industrial component by Futura S.p.A.Source: Project report, 2020

See at: CNR ExploRA


2012 Journal article Open Access OPEN
NanoICT: a new challenge for ICT
D'Acunto M., Benassi A., Salvetti O.
Nanotechnology is the manipulation or self-assembly of individual atoms, molecules or molecular clusters into structures to create material and devices through an exact control of size and form in the nanometer scale. The immense potential of this field is presenting a challenge for the ICT world.Source: ERCIM news 89 (2012): 43–44.
Project(s): NANOICT via OpenAIRE

See at: ercim-news.ercim.eu Open Access | CNR ExploRA


2014 Report Unknown
Calcolo della funzione di trasferimento della luce che attraversa uno specchio one-way
Righi M., Martinelli M., Benassi A., Chimenti M., Magrini M., Colantonio S., Salvetti O.
Questo documento descrive: un generico sistema di acquisizione dello spettro di un'immagine la calibrazione di uno spettroscopio analogico il calcolo della funzione di trasferimento della luce che attraversa uno specchio one-waySource: ISTI Technical reports, 2014

See at: CNR ExploRA


2016 Report Unknown
Localization system for medium/small spaces
Righi M., Benassi A.
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.Source: ISTI Technical reports, 2016

See at: CNR ExploRA


2020 Contribution to conference Open Access OPEN
Augmented reality and intelligent systems in Industry 4.0
Benassi A., Carboni A., Colantonio S., Coscetti S., Germanese D., Jalil B., Leone R., Magnavacca J., Magrini M., Martinelli M., Matarese F., Moroni D., Paradisi P., Pardini F., Pascali M., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
Augmented reality and intelligent systems in Industry 4.0 - Presentazione ARTESSource: ARTES, 12/11/2020
DOI: 10.5281/zenodo.4277713
DOI: 10.5281/zenodo.4277712
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See at: ISTI Repository Open Access | CNR ExploRA


2013 Contribution to conference Unknown
NIR response of gold nanoparticles for biological detection
D'Acunto M., Benassi A., Cricenti A., Luce M., Moroni D., Salvetti O.
In this paper, we study how the optical properties of gold nanoparticles and core-gold nanoshells are changed as a function of different sizes, shapes, composition and biomolecular coating with characteristic shifts towards near-infrared region, 750-900nm. We show that the optical tunability in this region can be carefully checked for particle sizes falling in the range 100-150nm. Such tunability in the range 750-900 nm is particularly important in biosystems, because the high transmittivity properties characterizing many biological tissues.Source: AITA 2013 - 12th International Workshop on Advanced Infrared Technology and Applications, pp. 44–44, Torino, Italy, 10-13 September 2013

See at: CNR ExploRA


2014 Journal article Restricted
3D image reconstruction using Radon transform
D'Acunto M., Benassi A., Moroni D., Salvetti O.
Computed tomography as well as magnetic resonance or positron electron tomography is currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon transform (RT). In this paper, an algorithm based on Markov chain Monte Carlo methods for reconstruction of 2D-3D structures is introduced, including correction of noise directly from the RT sinograms. The 3D reconstruction is independent by the instrumental technique and can be applied to any RT-based medical imaging technologiesSource: Signal, image and video processing (Print) (2014). doi:10.1007/s11760-014-0693-9
DOI: 10.1007/s11760-014-0693-9
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See at: Signal Image and Video Processing Restricted | link.springer.com Restricted | CNR ExploRA


2016 Report Unknown
Sistema di monitoraggio, prevenzione e allarme in acqua e in aria
Benassi A., Germanese D., Magrini M., Martinelli M., Reggiannini M., Righi M.
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.Source: ISTI Technical reports, 2016

See at: CNR ExploRA


2018 Report Unknown
Intelligent approaches to fitness and well-being guidance
Martinelli M., Carboni A., Magrini M., Benassi A., Salvetti O.
The purpose of this research is to offer a complete picture on the use of assistive technologies in general, artificial intelligence and machine learning methods, for the determination of behaviors and decisions aimed at optimizing the analysis of the physical performance of the athlete. The solutions discussed can be merged to implement a system able to propose, automatically and dynamically, training plans linked to the physical and psychological conditions of the athletes. However, the treatment is also addressed to a possible application to different person categories, such as people performing normal physical activities, the elderly, disabled and ore in general people suffering from psycho-motor and muscular pathologies with the aim of improving skeletal muscle physio aspects.Source: Project report, 2018

See at: CNR ExploRA


2018 Contribution to conference Open Access OPEN
UAV and multimodal image analysis for power line monitoring
Bacco M., Benassi A., Berton A., Gotta A., Jalil B., La Rosa D., Leone G. R., Martinelli M., Moroni D., Pascali M. A., Salvetti O.
In this presentation (delivered at DREIS held in Rome on April 17, 2018) we show the activities carried out at CNR-ISTI concerning the use of UAVs and multimodal image analysis for power line inspection. The work here presented has been partially supported by "SCIADRO", a project funded by the Tuscany Region under the PAR FAS program.Source: DREIS 2018 - DJI event on drones in research and energy industrial applications, CNR, Roma, Italy, 17 April 2018
DOI: 10.5281/zenodo.2560893
DOI: 10.5281/zenodo.2560892
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See at: ISTI Repository Open Access | zenodo.org Open Access | CNR ExploRA


2019 Report Unknown
Studio Pilota per la valutazione delle qualità psicometriche dello screening I-RSI-revised
Bastiani L., Nacci A., Fattori B., Benassi A., Pardini F., Salvetti O., Moroni D., Martinelli M.
Il presente documento fornisce la descrizione dell'indagine per la valutazione delle qualità psicometriche dello screening I-RSI-revised, base per la specifica della piattaforma Web di supporto alla gestione della raccolta ed elaborazione dei dati. Il lavoro è frutto della collaborazione tra l'Unità Operativa Otorinolaringoiatria, Audiologia e Foniatria dell'Università di Pisa, dagli Istituti di Fisiologia Clinica e da quello di Scienza e Tecnologie dell'Informazione.Source: ISTI Technical reports, 2019

See at: CNR ExploRA


2021 Report Open Access OPEN
SI-Lab Annual Research Report 2020
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Annual Report, ISTI-2021-AR/001, pp.1–38, 2021
DOI: 10.32079/isti-ar-2021/001
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See at: ISTI Repository Open Access | CNR ExploRA


2022 Report Open Access OPEN
SI-Lab annual research report 2021
Righi M., Leone G. R., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Berti A., Bruno A., Buongiorno R., Carloni G., Conti F., Germanese D., Ignesti G., Matarese F., Omrani A., Pachetti E., Papini O., Benassi A., Bertini G., Coltelli P., Tarabella L., Straface S., Salvetti O., Moroni D.
The Signal & Images Laboratory is an interdisciplinary research group in computer vision, signal analysis, intelligent vision systems and multimedia data understanding. It is part of the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR). This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2021.Source: ISTI Annual reports, 2022
DOI: 10.32079/isti-ar-2022/003
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See at: ISTI Repository Open Access | CNR ExploRA


2019 Contribution to conference Open Access OPEN
Lo Stile di Vita del Frequentatore della Montagna
Martinelli M., Bastiani L., Valoti P., Agazzi G., Carrara B., Parigi G. B., Marina Malannino M., Spinelli A., Calderoli A., Orizio L., Righi M., Pardini F., Benassi A., D'Angelo G., Giardini G., Moroni D., Mrakic Sposta S., Pratali L.
La variazione dei frequentatori della montagna degli ultimi anni sta significativamente cambiando le problematiche del territorio montano: se da un lato aumenta il numero delle presenze temporanee (turisti, lavoratori, etc...), dall'altro diminuisce quello degli abitanti. Il primo, tra le varie, sta elevando il Male Acuto di alta Montagna (MAM) a problema di salute pubblica non trascurabile; il secondo porta ad una minore gestione del territorio generando problemi diretti ed indiretti, tra questi, favorito altresì dal riscaldamento globale, anche la proliferazione delle zecche. Questa ricerca ha esaminato in particolare I fattori di rischio individuale relativo allo stile di vita e al MAM.Source: XXI CONVEGNO NAZIONALE SIMeM, Arabba, 28/09/2019

See at: ISTI Repository Open Access | CNR ExploRA


2012 Conference article Unknown
Image reconstruction and identification of noise and instrumental artifacts using radon transform: a challenge for medical imaging techniques
D'Acunto M., Benassi A., Moroni D., Salvetti O.
Computed Tomography as well as Magnetic Resonance or Positron Electron Tomography are currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon Transform (RT). In this paper, an algorithm based on Markov chain Monte Carlo methods for reconstruction of 2D-3D structures is introduced, including correction of noise and of some instrumental artifacts directly from the RT sinograms. The results can be applied to any RT-based medical imaging technologies.Source: 7th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Securitry, and Agriculture, pp. 38–47, Berlin, Germany, 13-20 July 2012

See at: CNR ExploRA