2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)最新文献_第2页

Co-creation of Virtual Reality Re-usable Learning objectives of 360° video scenarios for a Clinical Skills course 共同创建虚拟现实可重用的临床技能课程360°视频场景的学习目标

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140530

Eirini C. Schiza, Marios Hadjiaros, M. Matsangidou, Fotos Frangoudes, K. Neocleous, Evangelia Gkougkoudi, S. Konstantinidis, C. Pattichis

引用次数: 8

Sensorless Position Control at the Steered Wheel in Steer-by-Wire : using High-Frequency Injection with Search-Based Observer 线控转向中转向轮无传感器位置控制:基于搜索观测器的高频注入

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140667

K. Scicluna, C. Staines, R. Raute

引用次数: 1

Sensorless Current Control at the Handwheel in Steer-by-Wire : using High-Frequency Injection with Search-Based Observer 线控手轮无传感器电流控制:基于搜索观测器的高频注入

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140620

K. Scicluna, C. Staines, R. Raute

引用次数: 1

Conceptual Design and Modeling of Fast Discharge Unit for Quench Protection of Superconducting Toroidal Field Magnets of DTT DTT超导环形磁场磁体猝灭保护快速放电装置的概念设计与建模

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140702

C. Lopes, P. Zito, A. Lampasi, G. Ala, G. Zizzo, E. R. Sanseverino

引用次数: 1

Advanced Image-Processing for the Estimation of Pitch Angle for Runaway Electrons in Tokamaks 基于图像处理的托卡马克失控电子俯仰角估计

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140699

C. Barcellona, M. Bucolo, Giovanna Stella, A. Buscarino, L. Fortuna, G. Mazzitelli, B. Esposito

引用次数: 1

Blockchain-based DR logic: a trade-off between system operator’s and customer’s needs 基于区块链的灾难恢复逻辑:系统运营商和客户需求之间的权衡

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140494

Pierluigi Gallo, Sonia Longo, F. Montana, E. R. Sanseverino, G. Sciumè

{"title":"Blockchain-based DR logic: a trade-off between system operator’s and customer’s needs","authors":"Pierluigi Gallo, Sonia Longo, F. Montana, E. R. Sanseverino, G. Sciumè","doi":"10.1109/MELECON48756.2020.9140494","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140494","url":null,"abstract":"This paper describes a way to include the end users of the electrical network in the Demand Response mechanism using the Blockchain technology and the Smart Contract concepts, thus developing a distributed system where customers can communicate directly with the system operator to provide their flexibility in a transparent, secure and traceable way.The historical data on energy consumption and production of the customers is recorded on the Blockchain, with the Smart Contract evaluating the baseline and the potential support that each customer can provide to fulfill the requested load adaptation communicated by the grid operator. The baseline and the optimal power reduction for a customer (evaluated by the Smart Contract) are provided as input data to an Energy Management System developed by the Authors with the aim of shifting the consumption of each user in response to the Demand Response event in an automated way, satisfying the demand for reduction in the best possible way for customer and grid operator at the same time.The Energy Management System is based on historical trends and performs an economic optimization minimizing the energy supply cost for the end user. Results confirm the possibility to successfully integrate the Blockchain technology to this particular application, and the cooperation with an Energy Management System automates the process by improving the speed and effectiveness of the customer response.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"9 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":"121156218","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}

引用次数: 0

Molecular docking of ursolic acid and Staphylococcus aureus ATPase for antibacterial therapy 熊果酸与金黄色葡萄球菌atp酶在抗菌治疗中的分子对接

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140570

N. Maggi, A. Schito, V. Iobbi, A. Bisio, C. Ruggiero, M. Giacomini

引用次数: 1

CogAR: an augmented reality App to improve quality of life of the people with cognitive impairment CogAR:一款增强现实应用，旨在改善认知障碍患者的生活质量

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140554

Mirko Rossi, G. D'Avenio, S. Morelli, M. Grigioni

{"title":"CogAR: an augmented reality App to improve quality of life of the people with cognitive impairment","authors":"Mirko Rossi, G. D'Avenio, S. Morelli, M. Grigioni","doi":"10.1109/MELECON48756.2020.9140554","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140554","url":null,"abstract":"The number of people affected by dementia in the world is growing up due to the shift of the population age profile. This paper presents a tool to help and support people who suffer from both cognitive decline age-related and cognitive impairments. Cognitive impairment refers to a person who has trouble remembering, learning, concentrating, or making decisions that affect their daily life. Cognitive impairment varies from mild to severe. With mild impairment, people may begin to notice changes in cognitive functions, while still be able to do their everyday activities; on the other hand, severe levels of impairment can lead to losing the ability to understand the meaning or importance of something in addition to the ability to talk or write, resulting in the inability to live independently. We developed an augmented reality home-made App, CogAR, designed for smart glasses. The App can be a useful tool able to provide more independence to patients during actual daily living activities and in navigating their home, providing cues for memory integration in real time. In this way, elderly people, could stay at home longer without the need to move into a care home environment.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"34 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":"127794581","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}

引用次数: 2

Retrofitting existing buildings by means of innovative envelope components: low-impacting new assemblies 通过创新的围护结构组件改造现有建筑:低影响的新组件

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140532

L. Cirrincione, M. La Gennusa, C. Marino, Antonino Nucara, G. Peri, G. Rizzo, G. Scaccianoce

{"title":"Retrofitting existing buildings by means of innovative envelope components: low-impacting new assemblies","authors":"L. Cirrincione, M. La Gennusa, C. Marino, Antonino Nucara, G. Peri, G. Rizzo, G. Scaccianoce","doi":"10.1109/MELECON48756.2020.9140532","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140532","url":null,"abstract":"Current policies addressing the energy efficiency of buildings aimed at the control of their overall primary energy demand, require not only that the edifice envelope has to be properly designed to optimize its thermal performances, but also that the eco-friendly properties of the involved building materials have to be properly taken into account, in order of assessing all the associated environmental costs. In fact, the design of envelope structures that are able to realize proper levels of thermal insulation and, in the same time, to employ materials characterized by low environmental impacts, are believed as the most effective strategies to be adopted in the aim of addressing the above-mentioned issues. In this regard natural materials, such as vegetal fibres or materials derived from the recycling of industrial/ agricultural waste, reveal very attractive characteristics. Indeed, recent studies on the use of natural materials in buildings concentrate on raw materials deriving from either agriculture, waste, or recycling processes. Such topics are the focuses of the present analysis. Specifically, this paper intends to provide a contribution in the field by identifying new types of environment-friendly composites, containing vegetal matters and ecological waste resulting from recycling activities. Outcomes of a series of performed laboratory analyses concerning the thermal conductivity of four different samples of assemblies, are quite promising and candidate these new composites – albeit further analyses are certainly recommended – as a practicable alternative to the mostly used traditional insulating materials.","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":"114778107","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}

引用次数: 0

Li-Ion Batteries Releasable Capacity Estimation with Neural Networks on Intelligent IoT Microcontrollers 智能物联网微控制器上基于神经网络的锂离子电池可释放容量估计

2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Pub Date : 2020-06-01 DOI: 10.1109/MELECON48756.2020.9140634

Giulia Crocioni, D. Pau, G. Gruosso

{"title":"Li-Ion Batteries Releasable Capacity Estimation with Neural Networks on Intelligent IoT Microcontrollers","authors":"Giulia Crocioni, D. Pau, G. Gruosso","doi":"10.1109/MELECON48756.2020.9140634","DOIUrl":"https://doi.org/10.1109/MELECON48756.2020.9140634","url":null,"abstract":"Lithium-Ion (Li-Ion) batteries are gaining remarkable popularity, due to their chemical ability to maximize battery life while increasing power energy density. These rechargeable batteries are widely used in mobile computing devices, such as smartphones and smartwatches, and automotive systems, such as hybrid and electric vehicles. The estimation of the releasable capacity allows the computation of the State of Health (SoH) of a battery, e.g. a measure of its functionality in energy storage and delivery, which is a fundamental parameter for the battery health monitoring. Several prognostic analysis approaches use machine learning algorithms, such as Support Vector Machines (SVMs), Random Forest regression and Artificial Neural Networks (ANNs). In this paper, we compare different machine learning algorithms for predicting maximal releasable capacity of Li-Ion batteries by analysing accuracy versus complexity, with special focus on implementing ANN on resource constrained microcontrollers (MCUs). In particular, Forward Neural Networks (FNNs) and Recurrent Neural Networks (RNNs) are compared. These approaches are applied on the Litium-Ion battery prognostic datasets made available by the National Aeronautics and Space Administration (NASA). Complexity is profiled on STM32 microcontrollers (MCUs) by using the toolset X-CUBE-AI, which automatically converts pre-trained ANNs and generates optimized and validated ANSI C code for STM32.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"86 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":"117164952","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}

引用次数: 1