M. Reno, Raúl Rondón, L. L. Bello, Gaetano Patti, Aamir Mahmood, A. Lombardo, M. Gidlund
{"title":"Relay Node Selection in Bluetooth Mesh Networks","authors":"M. Reno, Raúl Rondón, L. L. Bello, Gaetano Patti, Aamir Mahmood, A. Lombardo, M. Gidlund","doi":"10.1109/MELECON48756.2020.9140584","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140584","url":null,"abstract":"Bluetooth Mesh (BM) is a new communication protocol for the Internet of Things that is used to establish many-to-many device communication. BM allows for easy creation of large connection-less mesh networks using a controlled-flooding propagation mechanism, in which relay nodes broadcast the received messages to all neighbors until the message reaches its destination. This model, however, makes BM networks susceptible to broadcast-storm effects, which can hinder the scalability of the protocol. Opportune relay node selection is therefore of critical importance to control network traffic and improve network performance. This paper focuses on the choice of relay selection algorithms suitable for BM networks. In particular, different centralized, decentralized, and localized algorithms based on Connected Dominating Set (CDS) are evaluated and compared.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"6 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":"130367020","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":"Outlier Removal for Improving the Accuracy of Electric Vehicle Behavior Prediction","authors":"K. Miyazaki, Kenji Tanaka","doi":"10.1109/MELECON48756.2020.9140457","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140457","url":null,"abstract":"The concept of supplying electric power from an electric vehicle (EV) to a power system is called Vehicle to Grid (V2G). It is expected to bring about improvement in stability of the grid. As the demand for renewable energy rises in recent years, the stability of the power grid is simultaneously gathering more attention. It is important to predict EV behavior in V2G systems because if the behavior of EVs can be predicted in advance, it enables us to establish an efficient plan of power distribution. However, the irregular behavior of EVs makes prediction difficult. Prediction of EV cars is performed by extracting patterns from past actions, where unusual sudden actions hinder learning of the prediction model and cause a decrease in prediction accuracy. Therefore, to analyze and remove the irregularity of EVs are necessary in order to stabilize the V2G system. In this paper, we analyzed the behavior of EVs using real-world State of Charge (SoC) data. Then, using the technology of outlier removal, we excluded the irregular behaviors from a dataset. Finally, we attempted improvement of prediction accuracy by using the data without the irregularities. As a result, we successfully improved the accuracy of the prediction of EV behaviors. Also, in the process of behavior prediction, we performed a comprehensive analysis of EV SoC data, and introduced the results.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"4 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":"130474882","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":"Power Flow Simulation of DC Railway Power Supply Systems with Regenerative Braking","authors":"Fulin Fan, B. Stewart","doi":"10.1109/MELECON48756.2020.9140462","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140462","url":null,"abstract":"The energy efficiency of a railway electrification system can be improved by the recovery of regenerative braking energy which is converted from the mechanical energy of braking trains. In a direct current (DC) railway power supply system, the regenerated energy which would otherwise be dissipated as heat in braking resistors may be consumed by surrounding accelerating trains, stored by energy storage systems, or fed back to upstream alternative current (AC) sides via reversible substations (RSS). It is necessary to evaluate the benefits related to energy savings achieved by the installation of RSS due to the high cost of initial investment. This paper models DC railway power supply systems in Simulink to simulate power flows within the systems in different scenarios with or without the deployment of RSS. Pantograph voltages of trains and power exchange between AC and DC sides are analysed to illustrate the effectiveness of the developed models and the limits on the braking energy recovery.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"24 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":"124663686","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}
L. Cirrincione, M. L. Gennusa, G. Peri, G. Rizzo, G. Scaccianoce
{"title":"Comparing indoor performances of a building equipped with four different roof configurations in 65 Italian sites","authors":"L. Cirrincione, M. L. Gennusa, G. Peri, G. Rizzo, G. Scaccianoce","doi":"10.1109/MELECON48756.2020.9140533","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140533","url":null,"abstract":"Despite the increasing concern of institutions and technical organizations toward the improvement of the building energy (and, therefore, environmental) efficiency, the main goal of technicians should be also devoted toward the levels of internal thermal comfort that buildings are able to realize. As that, the relationships between energy performances and comfort conditions provided by the enclosures are of paramount importance in guiding designers in their work. In this paper, the influence of diverse roof construction typologies on energy and indoor performance of buildings has been investigated, in different Italian sites during heating and cooling seasons. In addition, it must be properly considered that buildings operate in given climate and weather contexts that deeply affect their performances. Hence, for taking into account the different weather conditions of each site, a new parameter has been used, that is the \"Climatic Severity Index\" corresponding to a value of magnitude of a climatic vector less a constant value, recently released by an Italian technical standard. The actions for improving the energy efficiency sometimes lead to a reduction of indoor comfort, therefore, not always easily applicable.","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":"130696313","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}
P. Zito, G. Tomassetti, G. Messina, L. Morici, C. F. Zignani, A. Lampasi, G. Ala, G. Zizzo, C. Lopes
{"title":"Conceptual Design and Modeling of the Toroidal Field Coils Circuit of DTT","authors":"P. Zito, G. Tomassetti, G. Messina, L. Morici, C. F. Zignani, A. Lampasi, G. Ala, G. Zizzo, C. Lopes","doi":"10.1109/MELECON48756.2020.9140613","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140613","url":null,"abstract":"Italian Divertor Tokamak Test (DTT) facility is part of the general European programme on the fusion research. Its specific role is to cover the gap on the power exhaust for the future DEMOstration power plant (DEMO). This tokamak will be built and installed in Italy at Frascati ENEA laboratories. The paper describes the Toroidal Field (TF) coils circuit powered by a TF power supply that feeds in series 18 toroidal superconducting magnets and the development of three software models in order to validate the adopted technical solutions in term of maximum voltage and maximum current stress on each power device/component, due to both the operating and fault conditions, and across TF coils.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"93 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":"132764579","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. Marracci, P. Bolognesi, A. Buffi, G. Caposciutti, B. Tellini
{"title":"Analysis of Current Ripple effect on Lithium batteries","authors":"M. Marracci, P. Bolognesi, A. Buffi, G. Caposciutti, B. Tellini","doi":"10.1109/MELECON48756.2020.9140598","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140598","url":null,"abstract":"This paper investigates the Lithium battery behavior and possible aging effects in presence of current ripple during the operation. In the context of a research funded project aimed at increasing the safety level of Lithium batteries for the naval propulsion, we present the results of an experimental analysis aimed at investigating the effect of current ripple on cell performances. An ad-hoc experimental setup is developed to test the batteries and the effect of current ripple on battery capacity and cell aging is discussed throughout the paper.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"78 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":"134061462","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":"A Nested U-Net Approach for Brain Tumour Segmentation","authors":"Neil Micallef, D. Seychell, C. Bajada","doi":"10.1109/MELECON48756.2020.9140550","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140550","url":null,"abstract":"With the emergence of deep learning methods for image segmentation, the potential of approaches for automatic brain tumour delineation has increased substantially. This paper presents a model which is inspired by U-Net++ for this task which makes training more efficient whilst also returning better accuracy. Our approach obtained Dice Scores of 0.90, 0.85, and 0.68 on the whole tumour, tumour core, and enhanced tumour core classes. These results were obtained on a holdout set of 68 scans from the BraTS 2019 training dataset. Our model also uses half the parameters of a popular U-Net adaptation which makes use of residual blocks, resulting in faster training. On average, our model performed 8.44% better than the latter for Dice scores for all three classes within our setup.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"498 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":"133399948","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":"A co-simulation approach for validating agent-based distributed algorithms in smart grid","authors":"M. Le, T. Nguyen, Q. Tran, Y. Bésanger, T. Hoang","doi":"10.1109/MELECON48756.2020.9140496","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140496","url":null,"abstract":"The paper presents a proposed co-simulation platform for a realistic validation of distributed algorithms in smart grid with the integration of the multi-agent system. The platform uses a master framework called MOSAIK to manage and schedule all related simulators. A cyber-physical system is created for the operation. The physical system is a real-time simulator of the power grid; meanwhile, the cyber system is a cluster of independent agents with sparse communication. The Alternating direction method of multiplier (ADMM) for distributed optimal power flow is introduced and conducted to show the effectiveness of the proposed approach.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"46 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":"133634428","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":"An Experimental Validation of the Naïve Approach to Angle of Arrival Estimation for Green WSNs","authors":"A. Florio, G. Avitabile, G. Coviello","doi":"10.1109/MELECON48756.2020.9140528","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140528","url":null,"abstract":"In this work, the so-called naïve approach to Angle of Arrival (AoA) estimation is discussed and experimentally characterized. Mathematical evaluations are proposed for Uniform Linear Arrays antennas allowing to evaluate advantages and disadvantages coming from this method. Experiments validate the approach and give a practical proof of its limits. The great advantage of the proposed method is that it requires only a trigonometric function inversion and simple computations like multiplications. This allows using specific and classical computational complexity reduction, like CORDIC, to solve the problem and giving the possibility to employ the method in full-hardware AoA estimation systems.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"19 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":"122163625","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. Cardelli, Antonino Laudani, G. Lozito, Valentina Lucaferri, A. Salvini, S. Q. Antonio, F. Riganti Fulginei
{"title":"Neural Modelling of Magnetic Materials for Aircraft Power Converters Simulations","authors":"E. Cardelli, Antonino Laudani, G. Lozito, Valentina Lucaferri, A. Salvini, S. Q. Antonio, F. Riganti Fulginei","doi":"10.1109/MELECON48756.2020.9140623","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140623","url":null,"abstract":"Power converters often features inductive devices in their architectures. Accurate simulation of the converters requires a well-defined response of the magnetic cores. A computationally efficient approach for the numerical modelling of hysteretic magnetic materials is presented in this work. The approach exploits the simplicity of the identification procedure for the Preisach model of hysteresis and the reduced computational costs of Neural Networks. The model for hysteresis is implemented both in direct and inverse form. Validation is performed against independent dataset, with evident computational speedup, which can be a valuable asset for magnetic cores simulations in the design of complex power systems featuring multiple converters such as the ones used in avionic applications.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"118 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":"127299336","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}