IEEE EUROCON 2021 - 19th International Conference on Smart Technologies最新文献_第3页

Determining Lithium-ion Battery One-way Energy Efficiencies: Influence of C-rate and Coulombic Losses 确定锂离子电池的单向能量效率:c速率和库仑损耗的影响

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535542

V. Bobanac, H. Bašić, H. Pandžić

引用次数: 6

Optimal Temperature-dependent Power Flow using Quantum-behaved Particle Swarm Optimization 基于量子粒子群优化的最优温度相关潮流

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535546

A. Picanco, A. S. Oliveira, F. Moreira, E. T. F. Santos

引用次数: 0

Improvement of Image Compression Performance by Deep Neural Networks 基于深度神经网络的图像压缩性能改进

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535628

D. Vasylenko, S. Stirenko, Yuri G. Gordienko

{"title":"Improvement of Image Compression Performance by Deep Neural Networks","authors":"D. Vasylenko, S. Stirenko, Yuri G. Gordienko","doi":"10.1109/EUROCON52738.2021.9535628","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535628","url":null,"abstract":"This paper analyses the deep image compression system that contains an encoder, quantizer, entropy model and decoder optimized by a joint rate-distortion framework. The current model implements a channel-level variable quantization network to dynamically allocate and withdraw the bitrates from significant and negligible channels. Its main specific is the usage of the variable quantization controller that consists of such components: channel importance module that dynamically learns the importance of channels during the training, and splitting-merging module, which allocates different bitrates of the channels. Quantizer implements the Gaussian mixture model manner. The paper is a continuation of several similar research done before that first provided an idea and architecture of the model. The main goals of the proposed work are to do a deeper analysis of the system, verify and improve the model effectiveness. The experiments validate that the hyper-parameter tuning approach proposed here successfully improves the rate-distortion performance of image compression in terms of various quality metrics such as PSNR, MS-SSIM and BPP.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661964","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

Ground Based Validation of Copernicus Atmosphere Monitoring Service Data for Kyiv 基辅哥白尼大气监测服务数据的地基验证

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535629

A. Shelestov, H. Yailymova, B. Yailymov, O. Samoilenko, L. Shumilo

引用次数: 2

EUROCON 2021 Cover Page EUROCON 2021封面页

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/eurocon52738.2021.9535578

引用次数: 0

Analysis of Exact and Approximating Dependences of the Active Resistance of Conductor on the Frequency of Current Under the Action of Skin Effect 集肤效应作用下导体有源电阻对电流频率的精确和近似依赖关系分析

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535581

Yakiv Scherbak, O. Plakhtii, V. Nerubatskyi, D. Hordiienko, D. Shelest, Y. Semenenko

{"title":"Analysis of Exact and Approximating Dependences of the Active Resistance of Conductor on the Frequency of Current Under the Action of Skin Effect","authors":"Yakiv Scherbak, O. Plakhtii, V. Nerubatskyi, D. Hordiienko, D. Shelest, Y. Semenenko","doi":"10.1109/EUROCON52738.2021.9535581","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535581","url":null,"abstract":"Based on Maxwell’s equations, the dependences of the total and active resistance of the electrical network on the frequency of the flowing current are determined, which allows to determine the additional power losses due to higher harmonics of higher harmonics. The analysis of convergence of the received equations with expressions of the international standard IEC 60287-1-1 is resulted. It is shown that for the high frequency zone the expressions of the IEC 60287-1-1 standard describing the dependence of the active resistance on the frequency give a significant error. A simplified approximation dependence is proposed for the high-frequency zone, which makes it possible to determine the dependence of the active resistance on the frequency without the use of Bessel equations. The obtained equations can be used to determine additional power losses in the active supports of electrical networks, windings of electric machines, high-frequency transformers from higher harmonics of currents at different nonlinear loads. In addition, the obtained expressions can be used to justify the use of filter-compensating devices.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"28 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114022734","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: 3

Determination of Suitable Configuration Parameters for Linear Feedback Shift Register using Binary Bat Optimization Algorithm 用二进制Bat优化算法确定线性反馈移位寄存器的合适配置参数

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535616

Eyüp Eröz, E. Tanyildizi, F. Özkaynak

引用次数: 1

An Object-Oriented Verification Technique of FPGA-based Adjustment Systems for Video Graphics Accelerators 基于fpga的视频图形加速器调节系统的面向对象验证技术

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535641

Serhii I. Yatsenko, Yevhenii V. Kuts, Timofii V. Yakushkin, Roman D. Yershov, V. Voytenko, Viacheslav V. Gordienko

引用次数: 0

Control Characteristics of Zero-Current-Switching Quasi-Resonant Buck Converter under Variation of Resonant Circuit and Load Parameters 零电流开关准谐振降压变换器在谐振电路和负载参数变化下的控制特性

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535597

A. Dymerets, Roman D. Yershov, A. Gorodny, Anatoliy S. Revko, Yurii O. Denisov

引用次数: 2

Aerosol Optical Depth Forecast over Global Dust Belt Based on LSTM, CNN-LSTM, CONV-LSTM and FFT Algorithms 基于LSTM、CNN-LSTM、convl -LSTM和FFT算法的全球尘带气溶胶光学深度预报

IEEE EUROCON 2021 - 19th International Conference on Smart Technologies Pub Date : 2021-07-06 DOI: 10.1109/EUROCON52738.2021.9535571

Nour Daoud, M. Eltahan, Ahmed Elhennawi

{"title":"Aerosol Optical Depth Forecast over Global Dust Belt Based on LSTM, CNN-LSTM, CONV-LSTM and FFT Algorithms","authors":"Nour Daoud, M. Eltahan, Ahmed Elhennawi","doi":"10.1109/EUROCON52738.2021.9535571","DOIUrl":"https://doi.org/10.1109/EUROCON52738.2021.9535571","url":null,"abstract":"Aerosols are sources of the uncertainty in the global atmosphere and climate. They have many critical health, economic and social impacts. In this paper, we assess prediction of temporal monthly of Aerosol Optical Depth (AOD) over four dust sources within the global dust belt using three different algorithms. The three models are long-short term memory (LSTM), Convolutional neural networks-long-short term memory (CNN-LSTM) and Convolutional long-short term memory (ConvLSTM). Classical Fast Fourier Transform (FFT) algorithm for time series predication is compared to the three neural networks models. Grid search is used to find the optimal internal weights for the proposed neural network algorithms. The four dust sources are Eastern Libyan Desert, Saudi Arabia Peninsula, Indian subcontinent and China. Monthly temporal (2005-2021) AOD product from Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis is selected for training and validation periods. The presented models for AOD predication show efficient performance and cheap solution from computational point of view. However, ConvLSTM algorthims shows the least RMSE within ± 10%.","PeriodicalId":328338,"journal":{"name":"IEEE EUROCON 2021 - 19th International Conference on Smart Technologies","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121389868","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: 6