2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE)最新文献_第8页

Modeling and Simulation of Nanoparticles Dispersion for the Realization of ACFs 实现ACFs的纳米颗粒分散的建模与仿真

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742440

R. Ciobanu, M. Olariu, G. Ursan, Mihaela Aradoaei, O. Plopa

引用次数: 1

Convolution Kernel Size Effect on Convolutional Neural Network in Histopathological Image Processing Applications 卷积神经网络在组织病理学图像处理中的卷积核大小效应

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742484

Ş. Öztürk, U. Özkaya, B. Akdemir, L. Seyfi

{"title":"Convolution Kernel Size Effect on Convolutional Neural Network in Histopathological Image Processing Applications","authors":"Ş. Öztürk, U. Özkaya, B. Akdemir, L. Seyfi","doi":"10.1109/ISFEE.2018.8742484","DOIUrl":"https://doi.org/10.1109/ISFEE.2018.8742484","url":null,"abstract":"In this study, the change in the classification success of the convolutional neural network (CNN) is investigated when the dimensions of the convolution window are altered. For this purpose, four different linear convolution neural network architectures are constructed. The first architecture includes 4 convolution layers with 3×3 convolution window dimensions. The second architecture includes 4 convolution layers with 5×5 convolution window dimensions. The third architecture includes 4 convolution layers with 7×7 convolution window dimensions. The fourth architecture includes 4 convolution layers with 9×9 convolution window dimensions. A dataset consisting of histopathological image patches is used to test the CNN architects that are created. 2000 training images and 250 validation images on dataset are applied to all architectures with the same order, in order to fair assessment. In conclusion, the effect of convolution dimensions on classification of histopathological images by deep learning methods is determined. The test results of four different linear convolutional neural network architectures are evaluated using sensitivity, specificity and accuracy parameters.","PeriodicalId":253583,"journal":{"name":"2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115719702","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: 12

Calculating the power of the electric motor for a single stage turbo blower 计算单级涡轮鼓风机的电动机功率

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742419

F. Niculescu, Constantin Valcu, M. Vasile

引用次数: 0

Dynamic Simulation of a Stand-Alone Photovoltaic/Battery Energy Storage System 独立光伏/电池储能系统的动态仿真

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742478

D. Ciupăgeanu, G. Lăzăroiu

引用次数: 6

High Precision Test System for the Investigation of the Condition of Lithium-ion Batteries 锂离子电池状态研究的高精度测试系统

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742422

A. Dineva, Krisztián Ferkó, M. Székely, Gyula Gyökér, I. Vajda

{"title":"High Precision Test System for the Investigation of the Condition of Lithium-ion Batteries","authors":"A. Dineva, Krisztián Ferkó, M. Székely, Gyula Gyökér, I. Vajda","doi":"10.1109/ISFEE.2018.8742422","DOIUrl":"https://doi.org/10.1109/ISFEE.2018.8742422","url":null,"abstract":"Modern electric drive systems require more sophisticated monitoring and diagnosis methods for determining the expected life-time and reliability. Recently, continuous assessment of the electrical condition of electrical machines has become increasingly important. Investigations to predict battery life are of the utmost importance for Electric Vehicles (EVs). The evaluation of the instantaneous State-of-Health (SoH) of the battery cell packs requires a precise measurement system that encompasses the especially important specifications related to the operating conditions. In addition modern Battery Management Systems (BMS) rely on empirical battery models whose parametrization is crucial from the reliability’s point of view. The model parameters are necessary to be indentified via the appropriate measurement data. To address these considerations, this paper presents a new test system for Li-ion batteries and control software based on LabView, which is capable of conducting high quality and completely automated battery cell measurements defined by user input test vectors and test suites. The test system allows conducting also real time condition monitoring in Li-ion batteries by discharge impulse responses. Finally several measurements on the experimental setup are performed. Analysis of the measured data validate that the designed device ensures high performance testing and post-processing.","PeriodicalId":253583,"journal":{"name":"2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116363675","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

Improved Pareto Chart Analysis for Yield Detractors’ Identification 改进的帕累托图分析法用于产量诋毁者的识别

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742436

Ingrid Kovacs, M. Topa, E. David, Andi Buzo, G. Pelz

引用次数: 0

IoT and Energy Efficiency for Smart Agriculture using Adcon Telemetry Devices 使用Adcon遥测设备实现智能农业的物联网和能源效率

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742433

G. Suciu, Teodora Usurelu, Cristian Beceanu, M. Dobrea

引用次数: 3

ISFEE 2018 Cover Page ISFEE 2018封面

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/isfee.2018.8742467

引用次数: 0

Using Frequency measurements for data consistency assessment related to malicious data injection in distribution related ICT systems 利用频率测量方法评估分布相关ICT系统中恶意数据注入的数据一致性

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742414

Mihai Sănduleac, A. Corsi, T. Bragatto, Dorel Stanescu, C. Stanescu, Alin Sbarcea, C. Bulac

引用次数: 2

Aspects of Fractional Calculus in RLC Circuits 分数阶微积分在RLC电路中的应用

2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE) Pub Date : 2018-11-01 DOI: 10.1109/ISFEE.2018.8742421

Steliana Pușcașu, S. Bibic, Mihai Rebenciuc, A. Toma, D. Nicolescu

引用次数: 2