Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548432
R. D. Labati, A. Genovese, V. Piuri, F. Scotti
The production of renewable energy is increasing worldwide. To integrate renewable sources in electrical smart grids able to adapt to changes in power usage in heterogeneous local zones, it is necessary to accurately predict the power production that can be achieved from renewable energy sources. By using such predictions, it is possible to plan the power production from non-renewable energy plants to properly allocate the produced power and compensate possible unbalances. In particular, it is important to predict the unbalance between the power produced and the actual power intake at a local level (zones). In this paper, we propose a novel method for predicting the sign of the unbalance between the power produced by renewable sources and the power intake at the local level, considering zones composed of multiple power plants and with heterogeneous characteristics. The method uses a set of historical features and is based on Computational Intelligence techniques able to learn the relationship between historical data and the power unbalance in heterogeneous geographical regions. As a case study, we evaluated the proposed method using data collected by a player in the energy market over a period of seven months. In this preliminary study, we evaluated different configurations of the proposed method, achieving results considered as satisfactory by a player in the energy market.
{"title":"Towards the Prediction of Renewable Energy Unbalance in Smart Grids","authors":"R. D. Labati, A. Genovese, V. Piuri, F. Scotti","doi":"10.1109/RTSI.2018.8548432","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548432","url":null,"abstract":"The production of renewable energy is increasing worldwide. To integrate renewable sources in electrical smart grids able to adapt to changes in power usage in heterogeneous local zones, it is necessary to accurately predict the power production that can be achieved from renewable energy sources. By using such predictions, it is possible to plan the power production from non-renewable energy plants to properly allocate the produced power and compensate possible unbalances. In particular, it is important to predict the unbalance between the power produced and the actual power intake at a local level (zones). In this paper, we propose a novel method for predicting the sign of the unbalance between the power produced by renewable sources and the power intake at the local level, considering zones composed of multiple power plants and with heterogeneous characteristics. The method uses a set of historical features and is based on Computational Intelligence techniques able to learn the relationship between historical data and the power unbalance in heterogeneous geographical regions. As a case study, we evaluated the proposed method using data collected by a player in the energy market over a period of seven months. In this preliminary study, we evaluated different configurations of the proposed method, achieving results considered as satisfactory by a player in the energy market.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128703445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548395
P. Romano, A. Imburgia
The Pulsed Electro-Acoustic (PEA) method is the most used technique for space charge detection in solid dielectrics. The methodology is largely employed in the field of High Voltage Direct Current (HVDC) transmission and is based on the detection of acoustic waves generated by charges vibration. One of the most common problems arising during the detection is the presence of multiple reflections taking place due to the presence of means discontinuity in the different PEA cell components. This reflection phenomenon, if not well taken into account, could cause incorrect interpretation of the PEA output signal. It is easy to understand that a simulation model is a basic tool to understand the waves behavior within each PEA cell component and finally to correctly interpret the output charge profile. Furthermore, a simulation model turns out to be useful for assessing what samples can be tested with an available PEA cell without reflection in the main signal. In this work, the PEA cell has been modeled in Matlab environment and the waves behavior has been simulated by using a numerical method. The model has been validated theoretically by making a comparison with the results of another work found in literature. In addition, the good performances of the model have been confirmed by experimental validations carried out using two different PEA cells.
{"title":"Effect of Acoustic Wave Reflections on Space Charge Measurements with PEA Method","authors":"P. Romano, A. Imburgia","doi":"10.1109/RTSI.2018.8548395","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548395","url":null,"abstract":"The Pulsed Electro-Acoustic (PEA) method is the most used technique for space charge detection in solid dielectrics. The methodology is largely employed in the field of High Voltage Direct Current (HVDC) transmission and is based on the detection of acoustic waves generated by charges vibration. One of the most common problems arising during the detection is the presence of multiple reflections taking place due to the presence of means discontinuity in the different PEA cell components. This reflection phenomenon, if not well taken into account, could cause incorrect interpretation of the PEA output signal. It is easy to understand that a simulation model is a basic tool to understand the waves behavior within each PEA cell component and finally to correctly interpret the output charge profile. Furthermore, a simulation model turns out to be useful for assessing what samples can be tested with an available PEA cell without reflection in the main signal. In this work, the PEA cell has been modeled in Matlab environment and the waves behavior has been simulated by using a numerical method. The model has been validated theoretically by making a comparison with the results of another work found in literature. In addition, the good performances of the model have been confirmed by experimental validations carried out using two different PEA cells.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127061500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548397
Emiliano Spera, Antonino Furnari, S. Battiato, G. Farinella
This work compares the performances of two families of image-based methods for egocentric shopping cart localization in retail stores, namely, methods based on image retrieval and approaches based on direct pose regression from the input image. Our contribution is two-fold: 1) we benchmark the performances of the considered image-based techniques for camera localization in the context of retail stores; 2) we study the computational time and amount of memory required by the considered techniques. Experimental results show that the methods based on image retrieval and the ones based on direct pose regression can achieve comparable localization accuracy, while, especially when a GPU is available, the latter tend to be much faster and require less memory.
{"title":"Performance Comparison of Methods Based on Image Retrieval and Direct Regression for Egocentric Shopping Cart Localization","authors":"Emiliano Spera, Antonino Furnari, S. Battiato, G. Farinella","doi":"10.1109/RTSI.2018.8548397","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548397","url":null,"abstract":"This work compares the performances of two families of image-based methods for egocentric shopping cart localization in retail stores, namely, methods based on image retrieval and approaches based on direct pose regression from the input image. Our contribution is two-fold: 1) we benchmark the performances of the considered image-based techniques for camera localization in the context of retail stores; 2) we study the computational time and amount of memory required by the considered techniques. Experimental results show that the methods based on image retrieval and the ones based on direct pose regression can achieve comparable localization accuracy, while, especially when a GPU is available, the latter tend to be much faster and require less memory.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125363954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548354
F. Barletta, Fabio Massimiani, F. Pierangeli, M. Spada, A. Marotta, F. Graziosi
An open platform business model enriched by 5G Technology represents the opportunity for Telcos beyond just connectivity when Innovation & Technology are built up to serve Municipalities and Citizen needs; the paper shows how it is possible to evolve the network to realise the opportunities offered by the 5G technology in particular when Telcos with Research and Industry partners enable ecosystem development. We explore the most important features of the 5G networks required for the services innovation management, in particular in the context of the MISE Trial in Area 2 - Prato and Aquila.
{"title":"5G Networks. An Overall Perspective for the Innovation Management","authors":"F. Barletta, Fabio Massimiani, F. Pierangeli, M. Spada, A. Marotta, F. Graziosi","doi":"10.1109/RTSI.2018.8548354","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548354","url":null,"abstract":"An open platform business model enriched by 5G Technology represents the opportunity for Telcos beyond just connectivity when Innovation & Technology are built up to serve Municipalities and Citizen needs; the paper shows how it is possible to evolve the network to realise the opportunities offered by the 5G technology in particular when Telcos with Research and Industry partners enable ecosystem development. We explore the most important features of the 5G networks required for the services innovation management, in particular in the context of the MISE Trial in Area 2 - Prato and Aquila.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124360914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548377
L. Giarré, F. Pascucci, S. Morosi, A. Martinelli
In the present paper, we perform an on-line recalibration of a localization system which is based on the pedestrian dead reckoning technique by means of an anchor based Ultra Wide Band positioning. As a matter of fact a hybrid localization perspective is adopted that foresees the use of different (wearable) sensors to improve the localization accuracy; furthermore, it exploits the data to simultaneously build maps in unknown and uncertain environments. Comparisons of pedestrian dead reckoning localization with and without recalibration are shown by reporting the results of experiments that have been taken in a real environment.
{"title":"Improved PDR Localization via UWB-Anchor Based on-Line Calibration","authors":"L. Giarré, F. Pascucci, S. Morosi, A. Martinelli","doi":"10.1109/RTSI.2018.8548377","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548377","url":null,"abstract":"In the present paper, we perform an on-line recalibration of a localization system which is based on the pedestrian dead reckoning technique by means of an anchor based Ultra Wide Band positioning. As a matter of fact a hybrid localization perspective is adopted that foresees the use of different (wearable) sensors to improve the localization accuracy; furthermore, it exploits the data to simultaneously build maps in unknown and uncertain environments. Comparisons of pedestrian dead reckoning localization with and without recalibration are shown by reporting the results of experiments that have been taken in a real environment.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121628727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548513
L. D. Cecilia, F. Marazzi, L. Rovati
The present study was conducted to evaluate the measuring performance of a prototype hyperspectral imaging system. This instrument was developed to measure the human iris spectral reflectance in vivo. Several previous works highlighted how changes in the iris pigmentation and morphology may provide an indication of the development and progression of certain eye pathologies. The use of hyperspectral imaging could aid physicians in the early detection of such diseases, by exploiting both the spatial and spectral features that this optical technique is able to collect. We evaluated the measurements repeatability from images acquired across 22 spectral bands in the visible and near-infrared range (480 - 900 nm), from 8 healthy volunteers. Moreover, we assessed the intra- and inter-session repeatability of the quantitative hyperspectral measurements. Repeatability was lower for darker irises and for wavelengths from 520 to 900nm. In particular, the coefficient of repeatability (95% of confidence interval) for measurements between sessions was ±10% and ±5% for dark and light irises, respectively. The within session repeatability was ±7.5% and ±4%, respectively. The obtained repeatability coefficients confirm the reliability and reproducibility of the hyperspectral data collected by our system.
{"title":"Spectral Repeatability of a Hyperspectral System for Human Iris Imaging","authors":"L. D. Cecilia, F. Marazzi, L. Rovati","doi":"10.1109/RTSI.2018.8548513","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548513","url":null,"abstract":"The present study was conducted to evaluate the measuring performance of a prototype hyperspectral imaging system. This instrument was developed to measure the human iris spectral reflectance in vivo. Several previous works highlighted how changes in the iris pigmentation and morphology may provide an indication of the development and progression of certain eye pathologies. The use of hyperspectral imaging could aid physicians in the early detection of such diseases, by exploiting both the spatial and spectral features that this optical technique is able to collect. We evaluated the measurements repeatability from images acquired across 22 spectral bands in the visible and near-infrared range (480 - 900 nm), from 8 healthy volunteers. Moreover, we assessed the intra- and inter-session repeatability of the quantitative hyperspectral measurements. Repeatability was lower for darker irises and for wavelengths from 520 to 900nm. In particular, the coefficient of repeatability (95% of confidence interval) for measurements between sessions was ±10% and ±5% for dark and light irises, respectively. The within session repeatability was ±7.5% and ±4%, respectively. The obtained repeatability coefficients confirm the reliability and reproducibility of the hyperspectral data collected by our system.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114408261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548500
G. Adamo, L. Mistretta, P. Livreri, A. Busacca
In this paper, we present a low cost prototype of a Time-Of-Flight (TOF) LiDAR system, employing a SiPM as photo detector and MEMS mirrors in order to steer the nanosecond pulsed optical beam with a scanning angle of +/-6°. Preliminary TOF measurements have been performed both indoor and outdoor to test the limits of the system.
{"title":"A LiDAR Prototype with Silicon Photomultiplier and MEMS Mirrors","authors":"G. Adamo, L. Mistretta, P. Livreri, A. Busacca","doi":"10.1109/RTSI.2018.8548500","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548500","url":null,"abstract":"In this paper, we present a low cost prototype of a Time-Of-Flight (TOF) LiDAR system, employing a SiPM as photo detector and MEMS mirrors in order to steer the nanosecond pulsed optical beam with a scanning angle of +/-6°. Preliminary TOF measurements have been performed both indoor and outdoor to test the limits of the system.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114489368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548429
P. Gallo, Ignazio Gallo
In recent years, the e-commerce arena has deeply changed because of the advent of new business models and the growing weight of huge global actors like Amazon. Some business models create competition between users, and the product price tends to rise (e.g., online auctions); other models, including group-buying, make users cooperate, and the price tends to go down. The present study extends the group-buying model and proposes a cyber-physical system called e-fair, in which both sellers and buyers are grouped to negotiate on a specific product or service. E-fairs minimize the global purchase price and the shipping resources respectively with the aggregation of demand and supply as well as origins and destinations. E-fairs aggregate sellers and buyers, sources and destinations in what we call double-side aggregation. As the aggregation regards independent actors, which do not trust each other and join e-fairs in dribs and drabs, we employ a promising distributed technology as the blockchain to make the aggregation. We validated the e-fair model through a system prototype and a simulator and understood how economies of scale apply to e-fairs in different usage scenarios.
{"title":"E-Fairs: a Cyber-Physical System for Aggregation and Economy of Scale in e-Commerce","authors":"P. Gallo, Ignazio Gallo","doi":"10.1109/RTSI.2018.8548429","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548429","url":null,"abstract":"In recent years, the e-commerce arena has deeply changed because of the advent of new business models and the growing weight of huge global actors like Amazon. Some business models create competition between users, and the product price tends to rise (e.g., online auctions); other models, including group-buying, make users cooperate, and the price tends to go down. The present study extends the group-buying model and proposes a cyber-physical system called e-fair, in which both sellers and buyers are grouped to negotiate on a specific product or service. E-fairs minimize the global purchase price and the shipping resources respectively with the aggregation of demand and supply as well as origins and destinations. E-fairs aggregate sellers and buyers, sources and destinations in what we call double-side aggregation. As the aggregation regards independent actors, which do not trust each other and join e-fairs in dribs and drabs, we employ a promising distributed technology as the blockchain to make the aggregation. We validated the e-fair model through a system prototype and a simulator and understood how economies of scale apply to e-fairs in different usage scenarios.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"17 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120819659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548387
M. D. Giuseppe, M. Zingales, E. Bologna, S. Pasta, G. Alotta
This study aims to investigate the time dependent failure of aortic tissues for pathological and healthy samples by biomechanical testing. The experimental campaign has involved human pathological tissue and healthy swine tissue as preliminary study towards the development of novel failure criteria.
{"title":"Hereditariness of Aortic Tissue: in-Vitro Time-Dependent Failure of Human and Porcine Specimens","authors":"M. D. Giuseppe, M. Zingales, E. Bologna, S. Pasta, G. Alotta","doi":"10.1109/RTSI.2018.8548387","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548387","url":null,"abstract":"This study aims to investigate the time dependent failure of aortic tissues for pathological and healthy samples by biomechanical testing. The experimental campaign has involved human pathological tissue and healthy swine tissue as preliminary study towards the development of novel failure criteria.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124067917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/RTSI.2018.8548419
E. Bologna, M. Zingales, G. Alotta, L. Deseri
In this study, the authors, after collecting a series of experimental evidences following a creep and relaxation tendon campaign, propose a non-linear model of the viscoelastic behavior of the tendons. The ligaments investigated are the patellars and the hamstrings. The analytical model proposed by the authors aims to explain the non-linear hereditary behavior of these tissues and proposes an approach with which to develop a hereditary fractional-order non-linear model.
{"title":"Quasi-Fractional Models of Human Tendons Hereditariness","authors":"E. Bologna, M. Zingales, G. Alotta, L. Deseri","doi":"10.1109/RTSI.2018.8548419","DOIUrl":"https://doi.org/10.1109/RTSI.2018.8548419","url":null,"abstract":"In this study, the authors, after collecting a series of experimental evidences following a creep and relaxation tendon campaign, propose a non-linear model of the viscoelastic behavior of the tendons. The ligaments investigated are the patellars and the hamstrings. The analytical model proposed by the authors aims to explain the non-linear hereditary behavior of these tissues and proposes an approach with which to develop a hereditary fractional-order non-linear model.","PeriodicalId":363896,"journal":{"name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121539438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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