2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream)最新文献

Development and Research of Miniature High Precision Modular Rotary Encoder Kit Based on Dual Optical Sensors 基于双光传感器的微型高精度模块化旋转编码器套件的开发与研究

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134846

Donatas Gurauskis, A. Kilikevičius, D. Mažeika

引用次数: 0

Dielectric Resonator Loaded Two Port Circularly Polarized MIMO Antenna for Sub 6 GHz Band Coverage 用于Sub - 6ghz频段覆盖的介质谐振器加载双端口圆极化MIMO天线

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134770

Sumanth Gedageri, Vinay Ghali, Vikram Krishnareddy, Shivaraj Birur Siddappa, Vivek Singh, A. K. Dwivedi

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Performance Analysis of Different ANN-based Weight Updating Algorithms in Forecasting Short-Term Load Demands in Cluster Microgrids 基于人工神经网络的不同权重更新算法在集群微电网短期负荷需求预测中的性能分析

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134880

S. N. B. Rao, Y. V. P. Kumar

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Proceedings of the 2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream’ 2023): Organizers Foreword 2023年IEEE电气、电子和信息科学公开会议论文集(eStream ' 2023):组织者前言

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134800

D. Navakauskas, S. Paulikas, T. Sledevič, D. Udris

引用次数: 0

Modelling and Comparison PID Fuzzy Controllers for Six-phase Drive 六相驱动的PID模糊控制器建模与比较

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134946

Roma Rinkcvičicne, Bronė Mitkienė, D. Udris

引用次数: 1

Research and Development of Information Technology for Determining Shoe Size by Image 鞋码图像检测信息技术的研究与开发

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10135036

I. Sakharov, K. Smelyakov, O. Bohomolov

引用次数: 0

Electromagnetic Interferences Resistant PI/I Controller for Electrical Energy Converters 用于电能转换器的抗电磁干扰PI/I控制器

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10135030

A. Baskys, Martynas Šapurov, V. Bleizgys, Raimondas Pomarnacki, N. Paulauskas, Van Khang Huynh

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Deposition of Polydisperse Ultrafine Particles in a Gas Flow Using an Advanced Electro-Cyclone Apparatus 利用先进的电旋流器在气流中沉积多分散超细颗粒

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134775

A. Chlebnikovas, A. Kilikevičius

{"title":"Deposition of Polydisperse Ultrafine Particles in a Gas Flow Using an Advanced Electro-Cyclone Apparatus","authors":"A. Chlebnikovas, A. Kilikevičius","doi":"10.1109/eStream59056.2023.10134775","DOIUrl":"https://doi.org/10.1109/eStream59056.2023.10134775","url":null,"abstract":"To achieve high efficiency in cleaning the gas flow from pollutants, more and more advanced technologies are required. The main problem of purification from particulate matter is the insufficient efficiency of precipitation of small and ultrafine fractions. The application of complex and demanding operating conditions cleaning apparatuses still are unable to achieve complete deposition of particulate matter with high efficiency. With a wide range of particle sizes, the efficiency of the discrete fractions decreases even further. Variation in particle concentrations prior to cleaning also limits operating time of cleaning system due to adhesion to the filtration surface, and some types of filter must be regenerated or replaced. In this study, an improved apparatus based on centrifugal and electrostatic cleaning in combination is studied. The test results showed a high efficiency of this technology, over 90%. The results of the study indicated that ultra-fine particles 0.3-1 microns in size were deposited at least 50% efficiency, and the numerical concentration of particles larger than 2 microns before the purification was between 1–5 microns per liter.","PeriodicalId":105921,"journal":{"name":"2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064879","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

Comparative Analysis of the Applicability of Five Clustering Algorithms for Market Segmentation 五种聚类算法在市场细分中的适用性比较分析

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134796

Denys Teslenko, A. Sorokina, K. Smelyakov, Oleksii Filipov

{"title":"Comparative Analysis of the Applicability of Five Clustering Algorithms for Market Segmentation","authors":"Denys Teslenko, A. Sorokina, K. Smelyakov, Oleksii Filipov","doi":"10.1109/eStream59056.2023.10134796","DOIUrl":"https://doi.org/10.1109/eStream59056.2023.10134796","url":null,"abstract":"Customer communication is important in maintaining business sustainability, which can be tremendously improved by market segmentation. Clustering is a powerful tool to carry out market segmentation in an effective way. As every algorithm has its advantages and disadvantages, may be susceptible to the data peculiarities and change its effectiveness depending on it, for marketing it is vital to understand which techniques work better on mixed data, and which show poor results or are not applicable at all. This paper represents a comparative analysis on five clustering algorithms (k-means, BIRCH, agglomerative hierarchical clustering, DBSCAN and OPTICS), which represent three different approaches in clustering: centroid-based, connectivity-based and density-based approach. Using an open-source dataset with the data that describe hotel customers we evaluated the effectiveness of the aforementioned algorithms in extracting customer groups. For clustering quality evaluation, we used Davies-Bouldin score and Silhouette score, and after that visualized the results. As a result, we made a complete comparison of clustering algorithms and revealed the advantage of agglomerative hierarchical clustering over other algorithms. Also, we proved the significant benefit from using Gower's distance with density-based algorithms and loss with connectivity-based algorithm when dealing with mixed data. Finally, we summarized obtained results to make a conclusion about the applicability of each algorithm.","PeriodicalId":105921,"journal":{"name":"2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123780502","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

Opportunities for Automated E-learning Path Generation in Adaptive E-learning Systems 自适应电子学习系统中自动生成电子学习路径的机会

2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2023-04-27 DOI: 10.1109/eStream59056.2023.10134844

Olga Ovtšarenko

{"title":"Opportunities for Automated E-learning Path Generation in Adaptive E-learning Systems","authors":"Olga Ovtšarenko","doi":"10.1109/eStream59056.2023.10134844","DOIUrl":"https://doi.org/10.1109/eStream59056.2023.10134844","url":null,"abstract":"The need to automate learning paths is caused by an ever-growing need to personalise the learning process. Each student is an individual and has their learning preferences. In addition, it is required to consider changes in the knowledge and skills of the student during training. The article analyses the known methods of adaptation of e-learning and the learning path generation and presents the idea of developing an electronic course structure using a competency tree to ensure the adaptability of parts of electronic educational material in the student's independent work. Mapping the course taking into account and analysing the relationship between topics and test questions to assess student knowledge, reveals the potential for automating feedback, considering student performance. Adaptive solutions are needed to determine the sequence of choosing educational topics, exercises and test questions, taking into account their complexity and the degree of connection between different concepts in the course and depending on the change in the student's knowledge, which ensures effective and successful individual learning.","PeriodicalId":105921,"journal":{"name":"2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream)","volume":"1047 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123145200","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