23 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
13 4 Contributo in Atti di Convegno (Proceeding)
6 1 Contributo su Rivista
3 2 Contributo in Volume
1 8 Tesi di dottorato
Anno Risorsa
2021 Performance evaluation of vibrational measurements through mmwave automotive radars
Autore/i: Ciattaglia, G.; De Santis, A.; Disha, D.; Spinsante, S.; Castellini, P.; Gambi, E.
Classificazione: 1 Contributo su Rivista
Abstract: Thanks to the availability of a significant amount of inexpensive commercial Frequency Modulated Continuous Wave Radar sensors, designed primarily for the automotive domain, it is interesting to understand if they can be used in alternative applications. It is well known that with a radar system it is possible to identify the micro-Doppler feature of a target, to detect the nature of the target itself (what the target is) or how it is vibrating. In fact, thanks to their high transmission frequency, large bandwidth and very short chirp signals, radars designed for automotive applications are able to provide sub-millimeter resolution and a large detection bandwidth, to the point that it is here proposed to exploit them in the vibrational analysis of a target. The aim is to evaluate what information on the vibrations can be extracted, and what are the performance obtainable. In the present work, the use of a commercial Frequency Modulated Continuous Wave radar is described, and the performances achieved in terms of displacement and vibration frequency measurement of the target are compared with the measurement results obtained through a laser vibrometer, considered as the reference instrument. The attained experimental results show that the radar under test and the reference laser vibrometer achieve comparable outcomes, even in a cluttered scenario.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/287204 Collegamento a IRIS

2020 People Walking Classification using Automotive Radar
Autore/i: Senigagliesi, Linda; Ciattaglia, Gianluca; De Santis, Adelmo; Gambi, Ennio
Classificazione: 1 Contributo su Rivista
Abstract: Automotive radars are able to guarantee high performances at the expenses of a relatively low cost, and recently their application has been extended to several fields in addition to the original one. In this paper we consider the use of this kind of radars to discriminate different types of people’s movements in a real context. To this end, we exploit two different maps obtained from radar, that is, a spectrogram and a range-Doppler map. Through the application of dimensionality reduction methods, such as principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) algorithm, and the use of machine learning techniques we prove that is possible to classify with a very good precision people’s way of walking even employing commercial devices specifically designed for other purposes.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282725 Collegamento a IRIS

2020 Performance Evaluation of Vibrational Measurements Through mmWave Radars
Autore/i: Ciattaglia, Gianluca; De Santis, Adelmo; Disha, Deivis; Spinsante, Susanna; Castellini, Paolo; Gambi, Ennio
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Thanks to the availability of a significant amount of inexpensive commercial Frequency Modulated Continuous Wave Radar sensors, designed primarily for the automotive domain, it is interesting to understand if they can be used in alternative applications. Radars designed for automotive applications, in fact, thanks to their high transmission frequency, large bandwidth and very short chirp signals, are able to provide sub-millimeter resolution and a large detection bandwidth, to the point that it is here proposed to implement a vibrational analysis of a target and evaluate what information on the vibrations can be extracted, and the performance obtainable. In the present work the use of a commercial Frequency Modulated Continuous Wave radar is described, and the performances achieved in terms of target's displacement and frequency measurement are compared with the measurement results obtained through a laser vibrometer, considered as the reference instrument.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/283501 Collegamento a IRIS

2020 Food Intake Actions Detection: An Improved Algorithm Toward Real-Time Analysis
Autore/i: Gambi, E; Ricciuti, M; De Santis, A
Classificazione: 1 Contributo su Rivista
Abstract: With the increase in life expectancy, one of the most important topic for scientific research, especially for the elderly, is good nutrition. In particular, with an advanced age and health issues because disorders such as Alzheimer and dementia, monitoring the subjects' dietary habits to avoid excessive or poor nutrition is a critical role. Starting from an application aiming to monitor the food intake actions of people during a meal, already shown in a previously published paper, the present work describes some improvements that are able to make the application work in real time. The considered solution exploits the Kinect v1 device that can be installed on the ceiling, in a top-down view in an effort to preserve privacy of the subjects. The food intake actions are estimated from the analysis of depth frames. The innovations introduced in this document are related to the automatic identification of the initial and final frame for the detection of food intake actions, and to the strong revision of the procedure to identify food intake actions with respect to the original work, in order to optimize the performance of the algorithm. Evaluation of the computational effort and system performance compared to the previous version of the application has demonstrated a possible real-time applicability of the solution presented in this document.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282726 Collegamento a IRIS

2020 Contactless Heart Rate Measurements using RGB-camera and Radar
Proceedings of the 6th International Conference on Information and Communication Technologies for Ageing Well and e-Health
Autore/i: Senigagliesi, Linda; Gambi, Ennio; De Santis, Adelmo; Ciattaglia, Gianluca; Ricciuti, Manola
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The detection of vital parameters with traditional approaches, as the electrocardiograph, requires to appropriately place electrodes in direct contact with patients’ skin, often causing irritation. On the other hand, contactless measurement of physiological parameters provides an unobtrusive and comfortable instrument for subjects’ conditions monitoring, with application to home monitoring of aging people and in particular to those suffering of heart disease. In this paper two contactless techniques are proposed, based on radar technology and on video processing from an RGB camera. In order to validate their precision, the proposed methods are compared with three wearable low cost devices, taken as a reference for the outcomes. The developed approaches prove to achieve excellent performances, with an estimated mean relative error of 0.55% with respect to a commercial cardiac strap device.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282727 Collegamento a IRIS

2020 ADL recognition through machine learning algorithms on IoT air quality sensor dataset
Autore/i: Gambi, Ennio; Temperini, Giulia; Galassi, Rossana; Senigagliesi, Linda; De Santis, Adelmo
Classificazione: 1 Contributo su Rivista
Abstract: The Human Activity Recognition is a focal point for Ambient Assisted Living, and may be implemented in several ways usually involving the use of different technologies, as wearable, video, environmental or radio frequency sensors, which can be used alone or in combination among them. Recently, the approaches based on machine learning have attracted a lot of interest, especially in order to create recognition systems that do not require a high detection capacity by the single sensor, as they base their decision on the processing of the information acquired from multiple sensors simultaneously. The aim of the present work is to derive information about the activities that are carried out inside the house on the basis of the data acquired by a set of sensors analyzing the air components. The Human Activity Recognition is then the result of a machine learning classification of the output of an array of low cost “commercial off-the-shelf” air quality sensors. The considered recognition system exploits electrochemical sensing, Wi-Fi technology, cloud computing, machine learning and application services. The obtained results evidence that a good accuracy in the recognition of “activities of daily living” is reached, even if a not calibrated sensing was performed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/282885 Collegamento a IRIS

2020 Millimeter Wave Radar data of people walking
Autore/i: Gambi, Ennio; Ciattaglia, Gianluca; De Santis, Adelmo; Senigagliesi, Linda
Classificazione: 1 Contributo su Rivista
Abstract: This dataset contains complex signals coming from a mmWave FMCW radar system. Signals were acquired during a measurement campaign taken indoor and aimed to assess people's different ways of walking. Measurement setup and devices are described. The dataset consists of the acquisitions of six different types of activities, performed by 29 subjects who repeat each activity several times. Therefore, the dataset contains multiple different experiments for each activity, for a total of 231 acquisitions. The subjects walk without any constraint or do not follow any pattern, thus making this dataset useful not only for human gait recognition but also to evaluate the performance of different radar data processing algorithms.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/285694 Collegamento a IRIS

2019 Automotive radar application for structural health monitoring
WIT Transactions on the Built Environment
Autore/i: Gambi, E.; Ciattaglia, G.; DE SANTIS, A.
Editore: WITPress
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Monitoring of communication and residential infrastructures, such as buildings, bridges and tunnels, has always been important to ensure the safety of citizens. In particular, it is of interest to verify the level of mechanical stress to which bridges and buildings are subjected during earthquakes, measuring the oscillations that the structure undergoes during the seismic event, in order to verify the overcoming of safety thresholds, in which stability may be impaired. In this paper the mmWave radars designed for the automotive world is taken into account, since it allows high precision measurements at a relatively low cost. mmWave radars are able to detect vibrations of the order of tens of microns and, therefore, are very useful for monitoring buildings. Furthermore, using MIMO (Multiple Input Multiple Output) mmWave radars, it is possible to implement the Beamforming technology for the spatial shaping of the radio beam, in order to detect more targets simultaneously. In this way it is possible to monitor multiple buildings or structures simultaneously, or different parts of the same structure with a single sensor. The objective of the present work is to show the applicability of automotive radar to the measurement of oscillations suffered by buildings and bridges, in order to be used as a monitoring tool in the event of earthquakes. Results of software simulations, laboratory test and real measurements on infrastructures are provided.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/273160 Collegamento a IRIS

2019 People Movement Analysis with Automotive Radar
2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019
Autore/i: Gambi, E.; Ciattaglia, G.; De Santis, A.
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Radars have become very important in the automotive field, as they can be used to increase safety and support autonomous driving. These devices work in the mmWave frequency range and allow a maximum range of 150m yet providing a great accuracy in distance measurement at a low cost. By processing the phase information taken from the radar is it possible to increase the precision of the radar and allow for a resolution in the order of tens of microns. In the present paper automotive radars are applied to the contactless monitoring of people walking, with the aim to evidence some peculiarities of the movement such as walking speed, length and speed of the steps, movement of legs and arms. The obtained results confirm the applicability of this radar in such a context, in order to obtain information to be used in machine learning application for an automatic identification of walking aspects.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/272470 Collegamento a IRIS

2019 Contactless measurement of physiological parameters
IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Autore/i: Ciattaglia, G.; Senigagliesi, L.; De Santis, A.; Ricciuti, M.
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The possibility of remote measurement of vital parameters makes it possible to implement telemedicine systems. However these systems are of particular interest for subjects who, due to age or pathologies, are weak and fragile. For these subjects, the management of devices for measuring vital parameters that must be appropriately positioned in contact with the skin, in fixed positions, is difficult. For this reason, in this paper two technologies are shown for the non-contact measurement of two physiological parameters, heart rate and respiratory rate, based on the acquisition and processing of video signals and radar signals. The techniques presented are based on the use of commercial devices. The use of these technologies simplifies the acquisition of vital parameters compared to traditional technologies. The reliability of the measured values was evaluated by comparing the values obtained with a pulse oximeter and an app on a smartphone.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/275254 Collegamento a IRIS

2019 Telecommunications in the ICT Age: From Research to Applications
The First Outstanding 50 Years of “Università Politecnica delle Marche”
Autore/i: Baldi, Marco; Cancellieri, Giovanni; Chiaraluce, Franco; De Santis, Adelmo; Gambi, Ennio; Pierleoni, Paola
Editore: Springer
Luogo di pubblicazione: Cham
Classificazione: 2 Contributo in Volume
Abstract: The human society in the information age deeply relies on digital information processing, communication and storage. Photonic routing and switchingis expected to be exploited in future all-optical networks. Channel coding is needed in order to protect information against natural disturbances, and modern coding schemes are able to reach the ultimate limits predicted by Shannon. On the other hand, postquantum cryptography is necessary for assuring security against cyber attackers, possibly provided with quantum computers. Source coding, especially in video data compression, is recommended for optimizing the bandwidth usage. Spread spectrum systems can solve the problem of radio transmissions over common frequency bands. These technologies are of crucial importance for the evolution of networks and of the whole Internet, allowing people to interact each other and access information in the web. Nowadays, the conventional Internet of people has moved into the pervasive Internet of Things providing innovative services in a variety of application fields. In this respect, domotic systems, based on ambient and wearable sensors, appear of dramatic importance in the design of future assisted living protocols.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/273365 Collegamento a IRIS

2018 IoT-Enabled Smart Gas and Water Grids: from Communication Protocols to Data Analysis
Internet of Things: Challenges, Advances, and Applications
Autore/i: Susanna, Spinsante; Stefano, Squartini; Paola, Russo; Adelmo De Santis, ; Marco, Severini; Marco, Fagiani; Valentina Di Mattia, ; Roberto, Minerva
Editore: Chapman and Hall / CRC Computer and Information Science Series
Classificazione: 2 Contributo in Volume
Abstract: Internet of Things (IoT) has become an enabling technology in a huge number of diverse domains, including smart manufacturing, health, and cities. The latter encompasses cyber-physical infrastructures able to improve the citizens’ quality of life in a broader sense, including so-called smart grids (for water, natural gas, energy delivery). This chapter highlights the challenges and possible solutions related to the IoT-oriented design and deployment of smart water and gas grids, and unveils the potentially disruptive impact data analytics and machine learning could have in their management, and in consumption forecasting. The chapter reviews both capillary networks, and future opportunities provided by cellular IoT, as communication infrastructures. Open issues in network planning for smart metering applications, from an electromagnetic perspective, are also discussed, and supported by experimental evaluations. A thorough review of the state-of-the-art literature in the field of machine learning for leakage detection and consumption forecasting concludes the chapter.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/252825 Collegamento a IRIS

2018 Self-Adaptive and Lightweight Real-Time Sleep Recognition With Smartphone
Autore/i: Gambi, Ennio; Barbetta, Simone; DE SANTIS, Adelmo; Ricciuti, Manola
Classificazione: 1 Contributo su Rivista
Abstract: It is widely recognized that sleep is a basic physiological process having fundamental effects on human health, performance and well-being. Such evidence stimulates the research of solutions to foster self-awareness of personal sleeping habits, and correct living environment management policies to encourage sleep. In this context, the use of mobile technologies powered with automatic sleep recognition capabilities can be helpful, and ubiquitous computing devices like smartphones can be leveraged as proxies to unobtrusively analyse the human behaviour. To this aim, we propose the implementation of a real-time sleep recognition methodology relied on a smartphone equipped with a mobile app that exploits contextual and usage information to infer sleep habits. As an improvement of already presented solutions, in this proposed application an initial training stage is required, during which the selected features are processed by k-Nearest Neighbors, Decision Tree, Random Forest, and Support Vector Machine classifiers, in order to select the best model for each user. Moreover, a 1st-order Markov Chain is applied to improve the recognition performance. Experimental results demonstrate the effectiveness of the proposed approach, achieving acceptable results in term of Precision, Recall, and F1-score.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/263474 Collegamento a IRIS

2017 A prototype system for mm-wave channel characterization: Issues and results
Proceedings of 2017 IEEE Aerospace Conference
Autore/i: Spinsante, Susanna; Gambi, Ennio; DE SANTIS, Adelmo
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The deployment of new applications that can expand the mobile systems market is closely related to the availability of very high transmission capacity. Several researches are then developed to achieve this result, introducing as an example new modulation schemes or innovative channel coding technologies. With the aim to use a range of radio frequencies at present not crowded, and thus interference-free, able at the same time to make available a high bandwidth capacity, other researches are considering the possibility of transmitting at carrier frequencies of 60 GHz and beyond. The aim of this paper is to present a prototype for mm-Wave channel measurements, at 76 GHz, in order to derive a propagation model to be applied in different environmental conditions.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248930 Collegamento a IRIS

2017 Supporting Caregivers in Nursing Homes for Alzheimer’s Disease Patients: A Technological Approach to Overnight Supervision
Information and Communication Technologies for Ageing Well and e-Health
Autore/i: Montanini, Laura; Raffaeli, Laura; DE SANTIS, Adelmo; DEL CAMPO, Antonio; Chiatti, CARLOS JUAN; Paciello, Luca; Gambi, Ennio; Spinsante, Susanna
Editore: Springer
Classificazione: 2 Contributo in Volume
Abstract: The reduction of public expenditure and investments in health care provisioning calls for new, sustainable models to transform the increasing aging population and dementia-related diseases incidence from global challenges into new opportunities. In this context, Information and Communication Technologies play a vital role, to both promote aging in place and home management of Patients with Dementia, and to provide new tools and solutions to facilitate the working conditions of the care staff in nursing homes, which remain an essential facility when cognitive-impaired patients cannot live at home anymore. Night staff in nursing homes are a vulnerable group, receiving less supervision and support than day staff, but with high levels of responsibility. Additionally, nighttime attendance of patients affected by dementia may be difficult, because of their incremented neuropsychiatric symptoms. This paper describes an integrated system for the night monitoring of patients with dementia in nursing homes, based on a product originally conceived for domestic use, but re-designed to provide support to nurses, by means of a set of sensors located in each patient’s room, and suitable software applications to detect dangerous events and raise automatic alerts delivered to the nurses through mobile devices. The results obtained from the first experimental installation of the monitoring system proved the effectiveness of the proposed solution to support nurses during the night supervision of patients, and suggested suitable modifications and additional features to increase the nurses’ compliance.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250246 Collegamento a IRIS

2016 Overnight supervision of Alzheimer's disease patients in nursing homes: System development and field trial
ICT4AWE 2016 - 2nd International Conference on Information and Communication Technologies for Ageing Well and e-Health, Proceedings
Autore/i: Montanini, Laura; Raffaeli, Laura; De Santis, Adelmo; Del Campo, Antonio; Chiatti, Carlos; Rascioni, Giorgio; Gambi, Ennio; Spinsante, Susanna
Editore: SciTePress
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240926 Collegamento a IRIS

2015 Unobtrusive Monitoring of Physical Activity in AAL. A Simple Wearable Device Designed for Older Adults
Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health
Autore/i: De Santis, Adelmo; Del Campo, Antonio; Gambi, Ennio; Montanini, Laura; Pelliccioni, Giovanni; Perla, Davide; Spinsante, Susanna;
Editore: SCITEPRESS – Science and Technology Publications
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Many solutions and projects proposed within the Ambient Assisted Living research area, aim at monitoring the degree of vitality of elderly users in their daily activities, and in their home environment, to possibly avoid or strongly limit the need for clinical evaluations. In fact, the information on the subject’s vitality, manifested through his/her activity profile, may be used to evaluate possible anomalous trends, related to cognitive or physical decay. For such a kind of analysis to be realistically affordable, the monitoring device shall be unobtrusive, and transparent to the user. With the aim of striving for the simplest and most reliable design compatible with the aforementioned requirements, this paper presents a wearable device equipped with a sensing insole hosting force sensors, and the related electronics for signal processing and data transmission. The device locally classifies different dynamic states (sitting, walking, standing) and transmits the corresponding information to a supervising system. Preliminary experimental results confirm the effectiveness of the approach, in correctly detecting and classifying the user’s activities.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226941 Collegamento a IRIS

2015 Multimodal interaction in a elderly-friendly smart home: A case study
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST.
Autore/i: Spinsante, Susanna; Cippitelli, Enea; DE SANTIS, Adelmo; Gambi, Ennio; Gasparrini, Samuele; Montanini, Laura; Raffaeli, Laura
Editore: Springer Verlag
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: This paper discusses different and multimodal user-system interfaces proposed in the framework of a smart home designed to support the independent living of elderly and frail users. It is shown how different technologies and solutions may be complemented and integrated to provide effective interaction both for routine activities of daily living and anomalous situations.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/226834 Collegamento a IRIS

2015 Comparison of RGB-D Mapping Solutions for Application to Food Intake Monitoring
Ambient Assisted Living: Italian Forum 2014
Autore/i: Cippitelli E.; Gasparrini S.; De Santis A.; Montanini L.; Raffaeli L.; Gambi E.; Spinsante S.
Editore: Springer International Publishing Switzerland 2015
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Food intake behaviours are strictly correlated to health, especially for elderly people. Dietary habits monitoring is one of the most challenging activity for researchers in AAL scenario. RGB-D sensors, such as Kinect, provide multiple useful data to perform behavioural analysis in an unobtrusive way. Unfortunately, when using the Kinect sensor, depth and RGB data are not available with the same point of view, and a mapping algorithm is required in order to associate a 3D point to the same pixel in both the RGB and depth frames. In this paper, some techniques for RGB-D mapping of Kinect sensor data are compared, and a proposed implementation is described. Some experimental results in specific conditions are finally provided.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/183702 Collegamento a IRIS

2015 Tecnologie ed apparati per comunicazione a frequenze radio: dalla connettività in ambito domotico alla caratterizzazione del canale radio in banda EHF
Editore: Università Politecnica delle Marche
Classificazione: 8 Tesi di dottorato
Abstract: L’attività di ricerca si è concentrata su diversi temi: i sistemi AIS, la progettazione di dispositivi per la caratterizzazione del canale radio a 76GHz ed i sistemi domotici. Per quanto riguarda l’attività in banda 76GHz il lavoro di ricerca ha riguardato la progettazione e realizzazione dei sistemi riceventi, trasmittenti e di condizionamento ed analisi dei dati. I prototipi sono stati realizzati sia negli aspetti meccanici, che elettronici. Il trasmettitore campione è basato su un oscillatore locale a 12 GHz di derivazione commerciale. Per adattarlo alle esigenze di progetto l’unità è stata sottoposta a reverse engineering e riprogrammazione del PLL. Il segnale viene moltiplicato per 3 da un moltiplicatore armonico commerciale e per 2 da un diodo per microonde (package smd 0102) il cui circuito è stato assemblato con l’aiuto di micromanipolatori. Il segnale a 76GHz viene irradiato da una parabola da 25cm. Tutto il sistema è controllato da una scheda Raspberry PI, che acquisisce anche dati meteo ed elettrici per mezzo di una scheda figlia, anch’essa sviluppata ad hoc. I dati raccolti sono immagazzinati in un database MySQL e resi disponibili per il controllo attraverso interfaccia WEB. L’alimentazione del sistema è realizzata con tecnologia POE. Il ricevitore è parte di un progetto più ampio, volto a realizzare un transverter. La sezione in alta frequenza è simile alla precedente e differisce solo nella tipologia di componente usato per l’ultima moltiplicazione armonica: un doppio diodo al posto di uno singolo. Il segnale ricevuto viene convertito a 144MHz e reso disponibile al connettore della IF. Viene quindi effettuata una ulteriore conversione in discesa a 50 MHz attraverso un mixer bilanciato ed un oscillatore locale realizzato con Si570 (VXCO controllato I2C). La conversione ha consentito il riuso di filtri e ha dato la possibilità di potere correggere eventuali derive in frequenza del sistema. La frequenza dell’oscillatore locale è infatti controllata dalla Raspberry PI attraverso un programma in C. Il segnale viene quindi fornito ad un power meter Analog Devices con uscita in tensione. La tensione risultata viene acquisita attraverso un ADC Microchip a 18bit e riflette, non essendo presenti circuiti di controllo automatico del guadagno, l’intensità del segnale ricevuto a 76GHz. Il valore di tensione viene quindi archiviato in un database MySQL e può essere aggregato ai dati meteo raccolti dal trasmettitore per consentire uno studio più accurato dei fenomeni propagativi in questa banda di frequenza. Il progetto ha visto la collaborazione di alcuni radioamatori locali che hanno messo a disposizione alcuni strumenti per la verifica dei segnali a 76GHz. Appena disponibili sul mercato sono anche state acquisite due unità commerciali operanti a 76GHz che possono operare in ambiente indoor e sono il ’riferimento’ per la calibrazione ed il test dei prototipi realizzati internamente. Le unità trasmettitore e ricevitore sono collegate tra loro attraverso un link point-to-point realizzato in tecnologia Hiperlan. I sistemi AIS sono nati come ausilio alla sicurezza della navigazione marittima, e prevedono l’invio periodico, da parte di natanti e stazioni fisse, di brevi messaggi contenenti i dati di posizione e stato della navigazione. I segnali inviati dalle stazioni fisse del sistema sono particolarmente interessanti in quanto il numero delle stazioni ricevibili (ed in particolare da una ricevente posta in una posizione favorevole come Ancona) varia in funzione delle condizioni di propagazione troposferica. Per confermare questa affermazione è stato realizzato un sistema ricevente composto da unapparato radio commerciale ed un software, scritto in inguaggio PHP, in grado di decodificare le stringhe di testo ricevute. I dati raccolti sono immagazzinati in un database MySQL e pubblicati attraverso un sito web. La serie temporale delle stazioni fisse ricevute è stata confrontata con altri indicatori della bontà della propagazione troposferica: l’intensità del segnale ricevuto da un trasmettitore campione posto in Croazia e le mappe di propagazione redatte sulla base delle condizioni metereologiche. Positivo il riscontro ottenuto in questo secondo caso, a testimonianza del fatto che le stazioni fisse del sistema AIS possano essere usate come indicatore indiretto della bontà della propagazione troposferica in banda VHF. Da questo progetto sono nate una collaborazione con un sito di ascolto radio FM a lunga distanza (fmlist.org) con sede in Germania, con il sito Marinetraffic.com e con il prof. Dimitrios Lekkas professore associato presso l’Università dell’Egeo. In ambito domotico ed AAL, l’attività di ricerca è stata rivolta alla realizzazione della ’Smart Insole’ ed alla interoperabilità tra diverse piattaforme. Nel primo caso è stata curata la realizzazione del sistema di acquisizione dati e comunicazione radio, con particolare riferimento alla parte di gestione dell’energia del sistema, valutando diverse soluzioni hardware per aumentare l’autonomia di funzionamento del dispositivo. Sono stati analizzati diversi prodotti (circuiti integrati di gestione della ricarica per accumulatori LiPO), scegliendo poi un prodotto Microchip che è stato ampiamente caratterizzato ed adattato alle esigenze del progetto. Lo studio ha portato alla realizzazione di una unità molto compatta che integra sia la parte di elaborazione ed invio dati, sia la gestione energetica del sistema, consentendo anche la ricarica wireless. Il secondo contributo è stato dato nella realizzazione della infrastruttura di elaborazione e immagazzinamento dati, integrando nel sistema uno storage molto capiente in tecnologia iSCSI. Ulteriore contributo è stato dato nella ottimizzazione della rete di sensori e nella gestione dei flussi dati verso l’elaboratore centrale.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/242937 Collegamento a IRIS

2014 Interoperability issues among smart home technological frameworks
Proc. of 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: Rossi, L.; Belli, A.; De Santis, A.; Diamantini, C.; Frontoni, E.; Gambi, E.; Palma, L.; Pernini, L.; Pierleoni, P.; Potena, D.; Raffaeli, L.; Spinsante, S.; Zingaretti, P.; Cacciagrano, D.; Corradini, F.; Culmone, R.; De Angelis, F.; Merelli, E.; Re, B.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193504 Collegamento a IRIS

2014 A simple object for elderly vitality monitoring: The smart insole
Proc. of 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: DE SANTIS, Adelmo; Gambi, Ennio; Montanini, Laura; Raffaeli, Laura; Spinsante, Susanna; Rascioni, Giorgio
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193503 Collegamento a IRIS

2006 A T-Learning Platform based on Digital Terrestrial Television
Proc. 14th International Conference on Software Telecommunications & Computer Networks
Autore/i: Baldi M.; De Santis A.; Falcone D.; Gambi E.; Spinsante S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/66295 Collegamento a IRIS

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