{"title":"Audio surveillance of roads using deep learning and autoencoder-based sample weight initialization","authors":"Z. Mnasri, S. Rovetta, F. Masulli","doi":"10.1109/MELECON48756.2020.9140594","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140594","url":null,"abstract":"Road safety has always been a major concern, where a variety of competences is involved, ranging from government and local authorities, medical caregivers and other service provides. Prompt intervention in emergency cases is one of the key factors to minimize damages. Therefore, real-time surveillance is proposed as an efficient means to detect problems on roads. Video surveillance alone is not enough to detect serious accidents, since any hazardous behavior on the road may be confused with an accident, which may lead to many wrong alarms. Instead, audio processing has the potential to recognize sounds coming from different sources, such as crashes, tire skidding, harsh braking, etc. Since a few years, deep learning has become the state of the art for audio events detection. However, the usual dominance of absence of events in road surveillance would make a bias in the training process. Therefore, a novel method to initialize the neural network's weights using an autoencoder trained only on event-related data is used to balance the data distribution.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116158469","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}
M. J. Pérez Molina, Dunixe Marene Larruskain Escobal, P. López, Victor Valverde Santiago
{"title":"Fault detection based on ROCOV and ROCOC for multi-terminal HVDC systems","authors":"M. J. Pérez Molina, Dunixe Marene Larruskain Escobal, P. López, Victor Valverde Santiago","doi":"10.1109/MELECON48756.2020.9140642","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140642","url":null,"abstract":"Local measurement based algorithms are mostly used for fault detection in HVDC systems since communication based algorithms are limited by the communication time delay and, therefore, they are not appropriate for long transmission distances. This paper proposes a local measurement based protection system for multi-terminal HVDC systems. Primary protection is based on rate of change of voltage (ROCOV) algorithm, while the backup and busbar protections are based on rate of change of current (ROCOC) algorithm. The performance of these algorithms is tested through simulation in PSCAD software. The proposed system is validated with different fault case scenarios, including low and high resistance fault conditions. The ROCOV algorithm provides the protection system of a fast, reliable and accurate primary protection against low and high resistance fault conditions. Meanwhile, the ROCOC algorithm is implemented in order to operate in case of primary protection failure. Its operation against low resistance faults is similar to the ROCOV performance, however, it presents low sensitivity to high resistance fault conditions. An overcurrent feature is implemented in order to improve the backup protection sensitivity and reliability. On the other hand, the busbar protection performance is fast, accurate and selective; it does not misdetect link faults.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"402 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116658533","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}
{"title":"Modeling of Magnetorheological Fluids Relative Magnetic Permeability by using a Neural Network approach","authors":"P. Kowol, M. Szczygieł, G. Lo Sciuto, G. Capizzi","doi":"10.1109/MELECON48756.2020.9140517","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140517","url":null,"abstract":"In this paper, starting from the experimental data obtained with an empirical measurement device developed for this purpose, it has been determined a simple and accurate model (based on a small number of parameters) that allows to represent the relative magnetic permeability of the magneto-rheological fluids as a function of the magnetic field in which it is immersed in. The model thus obtained is in excellent agreement with the experimental data. In fact the obtained error is approximately of 8%.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130739912","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}
I. Stasewitsch, M. Pußack, J. Schattenberg, L. Frerichs
{"title":"Motion Control in Resonant Frequency for an Electrified Implement","authors":"I. Stasewitsch, M. Pußack, J. Schattenberg, L. Frerichs","doi":"10.1109/MELECON48756.2020.9140580","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140580","url":null,"abstract":"The electrification is one of the main focuses in the research and development of new mobile machines. But not only the drive train will be electrified but also the implements and attached equipment. This leads to new designs of these implements, which may require new control strategies. The electrified sickle-bar mower for cutting grass with mobile machines is shown here as an example. The aim is to control the amplitude of the sickle-bar’s position, which is important for a good process quality, but energy efficiency is also important for long operating times. The developed control strategies are able to control the desired position amplitude and the approaches have strategies to be energy efficient. One control strategy is based on the super twisting algorithm and the other controls the amplitude of a sinusoidal motion.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131067844","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}
{"title":"The Importance of Data Synchronization in Multiboard Acquisition Systems","authors":"G. Coviello, G. Avitabile, A. Florio","doi":"10.1109/MELECON48756.2020.9140622","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140622","url":null,"abstract":"The paper experimentally demonstrates the need and the importance to have a synchronization algorithm in the receiver section of each unit in a complex multi-board sensing system designed for off-line monitoring of biometric traces. In particular, the influence of the delay introduced by the receiver while processing synchronizing messages is evaluated. The sensor network is assumed to have a star topology with a single central node that acts also as a time coordinator. Experimental data show that even in a simple scenario, the synchronization strategies adopted to reduce receiving times have a significant impact on overall performance and instrument effectiveness.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114552831","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}
E. Ruiz, Jesús Huete Cubillo, Jorge de la Vega Rodríguez, Sebastián Martín
{"title":"Sizing and operation of a residential PV-battery system: Rule-Based and real time vs optimization and perfect foresight","authors":"E. Ruiz, Jesús Huete Cubillo, Jorge de la Vega Rodríguez, Sebastián Martín","doi":"10.1109/MELECON48756.2020.9140592","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140592","url":null,"abstract":"Many residential customers are becoming prosumers, because of environmental concerns and falling prices of renewable generation technologies, as photovoltaic. In this context, typical residential installations consists of photovoltaic (PV) generation and batteries. Battery energy management poses a challenge because of the variability and uncertainty related to PV generation and customer consumption. Here, we propose easy to implement rules for the system (PV + battery) operation, to minimize the total cost for the customer. The main contribution is to use the rule-based operation for system sizing and operation, and to compare the results to those for an optimization based sizing and operation with perfect foresight. Based on this comparison, the value of information for the system operation is quantified and discussed. The optimization problem and the rule-based operation are applied to a case study for a residential customer in Southern Spain.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126494779","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}
{"title":"Device for visual kinesthetic navigation of the blind and visually impaired","authors":"Kristjan Stopar","doi":"10.1109/MELECON48756.2020.9140543","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140543","url":null,"abstract":"We introduce a novel device for visual-kinesthetic navigation of the blind and visually impaired, which comprises two main parts, the glasses and the belt. The wearable glasses detect the obstacles in the user’s field of view, then pack that information and transmit it via Bluetooth to the belt, which is attached to the abdominal area. The belt translates the received information into a two-dimensional vibration pattern of ten vibration motors. The device was tested on thirteen visually intact young subjects walking through a custom-made polygon on three different days. The results demonstrated that the device supports efficient and intuitive detection of various obstacles.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120999549","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}
{"title":"The quality concerns in health care Big Data","authors":"A. Molinari, G. Nollo","doi":"10.1109/MELECON48756.2020.9140534","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140534","url":null,"abstract":"Health information technology is showing an impressive growing interest towards Big Data. Big Data Analytics is expected to bring important achievements for building sophisticated models, methods and tools that are expected to improve healthcare services and citizen health and wellbeing. In spite of these expectations data quality and analytics methods are not getting the attention they deserve. In this short paper, we aimed to highlight the issues of data quality in the context of Big Data Healthcare Analytics. The common sources of errors, the consequence of these errors, and potential solutions that should be considered to mitigate errors and pitfalls are discussed in the healthcare context.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133965009","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}
G. Artale, Giuseppe Caravello, A. Cataliotti, V. Cosentino, S. Guaiana, D. Di Cara, N. Panzavecchia, G. Tinè, V. Antonucci, D. Aloisio, G. Brunaccini, M. Ferraro, F. Sergi
{"title":"Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids","authors":"G. Artale, Giuseppe Caravello, A. Cataliotti, V. Cosentino, S. Guaiana, D. Di Cara, N. Panzavecchia, G. Tinè, V. Antonucci, D. Aloisio, G. Brunaccini, M. Ferraro, F. Sergi","doi":"10.1109/MELECON48756.2020.9140566","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140566","url":null,"abstract":"Scheduling of energy storage systems of distributed generation is a key element for optimal renewable energy sources (RES) exploitation in smart grids, demand side response strategies implementation and prosumers interaction with Distribution System Operators (DSOs). In this context, this paper presents the implementation of a management system for energy storage scheduling, which allows taking appropriate account of the storage system behavior in real cases. To properly consider the real system operation, the employed battery model is modified, in order to include also the hysteresis phenomena in state of charge estimation in both charging and discharging operation. The validation of the proposed methodology is supported by experimental tests which allow comparing two different battery models. The obtained results show that better results can be obtained with the model including the hysteresis effect.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134442625","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}