2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)最新文献

{"title":"Patient-specific Fluid Dynamical Evaluation of Hypoplastic Left Heart Syndrome Surgical Treatment","authors":"G. D'Avenio, A. Secinaro, A. Amodeo, M. Grigioni","doi":"10.1109/MELECON48756.2020.9140649","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140649","url":null,"abstract":"Background: Hypoplastic Left Heart Syndrome (HLHS) is a congenital condition which can severely impair the subject’s health. This syndrome, if left untreated, is charactereized by a high mortality. In subjects with HLHS, the left ventricle is underdeveloped or, in the worst cases, not functional at all: this condition evidently hampers the circulatory support usually exerted by the ventricle. Starting from the 1980s, the clinical option for a treatment (or, more precisely, a palliation) of the HLHS subject has been given by exploiting the right ventricle in order to support systemic circulation (usually supported by the left ventricle). This has been realized with a multi-step approach, with different surgical operations, the final step being the realization of the Total Cavopulmonary Connection (TCPC), with the venae cavae directly connected to the pulmonary arteries. Since the complexity of the condition, it is not surprising that a multidisciplinary approach is required; in particular, the necessity of minimizing the power lost in the connection is essential. The objective of this study is to characterize hemodynamically a HLHS subject, previously operated on at the Bambino Gesù Children's Hospital (Rome).Methods: The diagnostic MRI sets of the subject, obtained at follow-up, were analyzed using image processing software. The binarization of the images, required to label the blood domain, was performed via two-level thresholding, thus labeling the blood domain of the compartments of interest. A manual processing of the resulting volume was needed to isolate as much as possible the blood compartment from the rest of the anatomy, though, since two constant thresholds are generally insufficient to perfectly segment vessels throughout the image. The blood compartment volume was then discretized, using an unstructured mesh (more than 1 million tetrahedral cells). Suitable boundary conditions (BC) were set, using clinical data obtained in the follow-up. A computational fluid dynamics (CFD) study was executed, using the mathematical model of the anatomy and the boundary conditions, in stationary conditions.Results: The morphology of the calculated flow field was highly dependent on the closeness of the IVC and SVC anastomoses to the right pulmonary bifurcation: this entailed a complex flow field, with the pathlines’ direction showing large deviations, in particular along the path from the inferior vena cava to the inferior branch of the right pulmonary artery. The analysis of the pathlines demonstrated that the IVC flow (carrying hepatic factors from the liver) contributes to either RPA branch, as well as to the LPA. This has clinical relevance, considering that the hepatic factors carried by the IVC flow are essential for the physiological growth of the vessels. The good hemodynamical performance of the connection is also confirmed by its high hydraulic efficiency (94%).Conclusion: Patient-specific studies of HLHS or other relevant congenital pathol","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"10 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":"123772841","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 Novel Plasmonic Nanoantenna for High Efficiency Energy Harvesting Applications","authors":"P. Livreri, G. Raimondi","doi":"10.1109/MELECON48756.2020.9140636","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140636","url":null,"abstract":"In this paper, the results of a geometric investigation of plasmonic nanoantennas for energy harvesting applications in terms of field enhancement and available power are presented. Optimum performances are obtained by a particular arrow-shaped bowtie nanoantennas geometry. The novel nanoantenna geometry is here presented. The simulations of the novel nanoantennas made of aluminium, on a three-layers substrate, composed by silicon, silicon oxide, and aluminium, carried out with CST 2018 tool, are reported and compared with the classical bowtie nanoantennas ones. This study can guide both the engineering and the fabrication of plasmonic nanoantennas.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"82 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":"126283406","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 Comprehensive Comparison of Resonant Topologies for Magnetic Wireless Power Transfer","authors":"F. Corti, L. Paolucci, A. Reatti, F. Grasso, L. Pugi, N. Tesi, E. Grasso, M. Nienhaus","doi":"10.1109/MELECON48756.2020.9140657","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140657","url":null,"abstract":"The present work concerns the development of a wireless power transfer system for low voltage household applications. The system is intended as a multipurpose power link for low power appliances such as mobile phones charging and lighting. In order to maximize the efficiency of the system, several compensation topologies have been investigated, simulated and compared. The performance of each topology in terms of transmission efficiency and component current/voltage stresses was studied. A test bench setup was then developed, implemented and tested in order to validate the results obtained from the analytical equations.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"138 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":"127448564","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":"Silicon dosimeters based on Floating Gate Sensor: design, implementation and characterization","authors":"U. Gatti, C. Calligaro, A. Parlato, E. Tomarchio, E. Pikhay, Y. Roizin","doi":"10.1109/MELECON48756.2020.9140654","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140654","url":null,"abstract":"A rad-hard monolithic dosimeter has been implemented and characterized in a standard 180 nm CMOS technology. The radiation sensor (C-sensor) is based on a Floating Gate (FG) MOS discharge principle. The output current is processed by a current-to-voltage (I/V) interface and then converted by a 5-bit flash ADC. The dosimeter is re-usable (FG can be recharged) and can detect a dose up to 1krad (Si) with a resolution of 30rad (Si) typical over temperature 0 to 85°C range. The ADC allows easy further signal processing for calibration and averaging, etc. The power consumption of C-sensor plus I/V interface is < 2mW from a 5 V power supply. The overall layout area is less than 0.25mm2. The Radiation-Hardened-By-Design (RHBD) approach guarantees that the absorbed dose does not degrade the circuitry.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"25 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":"125326077","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":"Efficient and Robust Modeling of Vector Magnetic Hysteresis: An Engineering Approach","authors":"A. M. Ghanim, H. Rimal","doi":"10.1109/MELECON48756.2020.9140705","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140705","url":null,"abstract":"The main aim of this paper is to introduce and discuss a refined model of magnetic hysteresis applied to the design of motors, transformers, and other magnetic actuators used in avionic applications. The model of magnetic hysteresis is incorporated into a 1-D and 2-D finite element method solvers in time domain. The particular attention to the accurate prediction of the magnetic losses allows an appreciable control and limitation in the volume and weight of the components that is a critical issue in avionic environment. Classical electrical steels for avionic components are taken into account in the paper. The related identification procedure of the model by dedicated measurements and artificial intelligence algorithm is applied. A test benchmark is presented and discussed and the predicted results are compared to the experimental results.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"15 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":"114429593","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":"Investigations of the Methods of Time Delay Measurement of Stochastic Signals Using Cross-correlation with the Hilbert Transform","authors":"R. Hanus, M. Zych, R. Chorzępa, Anna Golijanek-Jędrzejczyk","doi":"10.1109/MELECON48756.2020.9140630","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140630","url":null,"abstract":"The article presents the results of simulation studies of four methods of time delay estimation for random signals using cross-correlation with the Hilbert Transform. Selected models of mutually delayed stochastic signals were used in the simulations, corresponding to the signals obtained from scintillation detectors in radioisotope measurements of liquid-gas two-phase flow. Standard deviations of the values of the individual functions were designated and compared, along with standard deviations of time delay estimates determined on their basis. The obtained results were compared with the results for classic cross-correlation function (CCF). It was found that for the analysed range of the signal-to-noise ratio (SNR): 0.2 ≤ SNR ≤ 5, the lowest values of standard deviation of time delay estimates were obtained for the CCFHT function (cross-correlation with the Hilbert Transform of the delayed signal).","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"11 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":"126923525","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 Smart Sensing Method for Real- Time Monitoring of Low Voltage Series-Arc-Fault","authors":"G. Ala, G. Artale, A. Cataliotti, V. Cosentino, C. Fontana, P. Romano, F. Viola","doi":"10.1109/MELECON48756.2020.9140599","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140599","url":null,"abstract":"This paper proposes a smart sensing method for real-time monitoring of low voltage series arc fault. It is based on the wavelet coefficient mean-difference algorithm and the four spikes appearing within two fundamental periods criterion with adaptive threshold. The method also uses the hard thresholding wavelet denoising with the universal threshold. An arc fault factor and a load adaptation factor are introduced and combined with a correction factor, so allowing the selection of the adaptive threshold in real-time and the series arc fault detection.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"12 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":"127090338","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":"Flexibility Services in a Mediterranean Small Island to Minimize Costs and Emissions Related to Electricity Production from Fossil Fuels","authors":"D. Curto, V. Franzitta, S. Longo, F. Montana, E. R. Sanseverino, E. Telaretti","doi":"10.1109/MELECON48756.2020.9140616","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140616","url":null,"abstract":"In last years, the energy efficiency in non-interconnected islands became an important topic, since the electricity production is often based on diesel generators, thus contributing to the global warming. Italian government recently emitted two decrees to promote the introduction of renewable energy technologies in 21 non-interconnected islands, both for electrical and thermal uses. In this paper, the economic and environmental feasibility of the introduction of renewable energies in the island of Pantelleria was assessed adopting an optimization approach. Furthermore, the flexibility provided from the local desalination plant and the domestic water heaters was evaluated. The final demands for electricity, air conditioning, domestic hot water and freshwater were analyzed, and the island was schematized as a multi-carrier energy hub and optimized through a mixed integer linear programming algorithm. Results prove that the renewable energies may provide a strong reduction of operating costs and greenhouse emissions of diesel generators in non-interconnected islands, although the optimal configurations differ according to the objective function of the optimization.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"21 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":"122142551","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 Novel Fitness Tracker Using Edge Machine Learning","authors":"M. Merenda, Miriam Astrologo, D. Laurendi, V. Romeo, F. D. Della Corte","doi":"10.1109/MELECON48756.2020.9140602","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140602","url":null,"abstract":"Several characteristics of the human body turn into postural behavior, recognizable also during sport activities. The presence of differences between body types could lead to different behavior of wearable and fitness-devote products. A new wearable based on machine learning techniques for the exercise detection and repetitions count is described in this work. A proper dataset has been obtained in order to offline train the network. Eventually, the machine learning algorithm has been implemented inside an edge device for real-time test e verification.","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":"126564429","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":"Educational Stream Data Analysis: A Case Study","authors":"Gabriella Casalino, G. Castellano, Andrea Mannavola, G. Vessio","doi":"10.1109/MELECON48756.2020.9140510","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140510","url":null,"abstract":"Virtual Learning Environments (VLEs) are Web-based platforms where educational contents, together with study support tools, are provided. Logs recording the interactions between students and VLEs are collected on a daily basis, thus automatic techniques are needed to manage and analyze such huge quantities of data. Students, teachers, managers, and in general all stakeholders involved in the VLEs’ learning activities, can take advantage of the insights coming from educational data and useful information can be extracted by using machine learning techniques. Traditionally, educational data have been studied as stationary data by using conventional machine learning methods. However, educational data are non-stationary by nature and they can be better treated as data streams. In this paper, we show the results of a classification study where the random forest algorithm, applied both in batch and adaptive mode, is used to develop a model for predicting the failure/success of students’ exams. Moreover, a feature importance analysis is carried out to detect the most discriminant attributes for the predictive task. Experiments were performed on the Open University Learning Analytics Dataset (OULAD) showing the reliability of adaptive random forest in creating accurate classification models from evolving educational data.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"18 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":"128988708","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}