Bulletin of Electrical Engineering and Informatics最新文献_第9页

Comparative study of moisture treatment techniques for mineral insulating oil 矿物绝缘油水分处理技术比较研究

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.5927

I. Sutan Chairul, S. Ab Ghani, Norazhar Abu Bakar, Mohd Shahril Ahmad Khiar, Nor Hidayah Rahim, Mohamad Nazri Mohamad Din

{"title":"Comparative study of moisture treatment techniques for mineral insulating oil","authors":"I. Sutan Chairul, S. Ab Ghani, Norazhar Abu Bakar, Mohd Shahril Ahmad Khiar, Nor Hidayah Rahim, Mohamad Nazri Mohamad Din","doi":"10.11591/eei.v12i6.5927","DOIUrl":"https://doi.org/10.11591/eei.v12i6.5927","url":null,"abstract":"The presence of moisture is one of the factors that promote degradation of transformer insulating oils and deterioration of cellulose insulation materials in oil-immersed power transformers, which affect the lifespan of the transformers. Realizing the importance of moisture in transformer insulating oils, this study compares the effectiveness of three moisture treatment techniques nitrogen bubbling technique (NBT), molecular sieve technique (MST), and vacuum oven technique (VOT)) for mineral oil (MO). The moisture content and AC breakdown voltage of the MO samples before and after moisture treatment were measured using Karl Fischer coulometric titrator and portable oil tester, respectively, in accordance with the American Society for Testing and Materials (ASTM) D1533 and ASTM D1816 standards. The results showed that NBT is the best moisture treatment technique for the MO, where the NBT reduced 80.79% of moisture present in the oil, followed by MST and VOT, which reduced 72.87 and 42.28% of moisture, respectively. The results also showed that the AC breakdown voltage of the MO samples after moisture treatment was improved owing to the reduction in moisture content.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138613409","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

Real-time lecture's micro-quality assessment for diabetic students based on IoTs and real-time cloud computing technologies 基于物联网和实时云计算技术的糖尿病学生实时授课微质量评估

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.5641

Alaa Imran Al-Muttairi, L. Abdul-Rahaim, A. Thahab

{"title":"Real-time lecture's micro-quality assessment for diabetic students based on IoTs and real-time cloud computing technologies","authors":"Alaa Imran Al-Muttairi, L. Abdul-Rahaim, A. Thahab","doi":"10.11591/eei.v12i6.5641","DOIUrl":"https://doi.org/10.11591/eei.v12i6.5641","url":null,"abstract":"Students with diabetes mellitus require more academic attention, intensive flow up, and a moderate temperature environment during classes. In this paper, the learning process for those students is improved by using the internet of things (IoTs) and cloud computing technologies. The proposed system improves lecture quality using lecture micro quality which is based on lecture time segmentation. Therefore, the designed system provides each student with a microcontroller-based node to collect information about his understanding status in a real-time fashion. Based on this information, the system provides the lecturer with real-time statistical calculations about vital parameters such as the understanding status of each student, the level of the classroom's understanding ratio, and the total number of students who did not understand the topic which is being explained. The designed system is practically tested in a real classroom environment. The implemented system is practically tested in a real classroom environment and the obtained results showed up an improvement in lecture quality due to the real-time feedback which informed the lecturer to adapt the learning technique.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138614872","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

Thermal consequences of sintering the borosilicate matrix blue-green color release properties 烧结硼硅酸盐基体的热效应蓝绿释色特性

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.4723

Ha Thanh Tung, Dieu An Nguyen Thi

引用次数: 0

High isolation of SPDT PIN diode switch using switchable dumbbell-shaped DGS in millimeter wave 28 GHz band 在毫米波 28 GHz 频段使用可切换哑铃形 DGS 实现 SPDT PIN 二极管开关的高隔离度

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.6071

Fatin Nadiah Mohd Yasin, N. Shairi, A. Othman, Huda A. Majid, Z. Zakaria, Imran Mohd Ibrahim, M. H. Jamaluddin

引用次数: 0

Tracking the GMPP of a solar photovoltaic water pumping system with an SMC controller in partial shading conditions 在部分遮光条件下使用 SMC 控制器跟踪太阳能光伏水泵系统的 GMPP

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.5504

Sabri Khadija, El Maguiri Ouadia, Farchi Abdelmajid

引用次数: 1

Tel-MPLS: a new method for maximizing the utilization of IP telephony over MPLS networks Tel-MPLS：通过 MPLS 网络最大限度提高 IP 电话利用率的新方法

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.6117

Mosleh M. Abualhaj, Mahran M. Al-Zyoud, A. Abu-Shareha, Mohammad O. Hiari, Qusai Y. Shambour

{"title":"Tel-MPLS: a new method for maximizing the utilization of IP telephony over MPLS networks","authors":"Mosleh M. Abualhaj, Mahran M. Al-Zyoud, A. Abu-Shareha, Mohammad O. Hiari, Qusai Y. Shambour","doi":"10.11591/eei.v12i6.6117","DOIUrl":"https://doi.org/10.11591/eei.v12i6.6117","url":null,"abstract":"Currently, the multiprotocol label switching (MPLS) standard is extremely prevalent. By exploiting the features provided by MPLS technology, a range of services, including IP telephony, have enhanced their overall performance. However, due to the size of the packet header, the IP telephony service consumes a significant portion of the MPLS network's available bandwidth. For instance, in IP telephony over MPLS networks, the packet header might account for as much as 80% of lost time and bandwidth. Designers working on IP telephony are making substantial efforts to address this issue. This study contributes to current efforts by proposing a novel approach called Tel-MPLS, which involves IP telephony over MPLS. TelMPLS approach uses the superfluous fields in the IP telephony packet's header to retain the packet data, therefore lowering or zeroing the IP telephony packet's payload. Tel-MPLS is an approach that significantly reduces the bandwidth of IP telephony MPLS networks. According to the findings, the Tel-MPLS approach is capable of reducing the amount of bandwidth that is lost by 12% when using the G.729 codec.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138627083","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

Robust attribute selection to improve the Parkinson's disease classification: a hybrid approach 改进帕金森病分类的稳健属性选择：一种混合方法

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.5247

Ameer K. Al-Mashanji, L. H. Alhasnawy, Aseel Hamoud Hamza

{"title":"Robust attribute selection to improve the Parkinson's disease classification: a hybrid approach","authors":"Ameer K. Al-Mashanji, L. H. Alhasnawy, Aseel Hamoud Hamza","doi":"10.11591/eei.v12i6.5247","DOIUrl":"https://doi.org/10.11591/eei.v12i6.5247","url":null,"abstract":"Parkinson’s disease (PD) is known to be a neurodegenerative syndrome that progresses chronically. As a result of the damage or death of brain neurons that generate dopamine patients tend to face difficulty when performing simple everyday tasks like walking, writing, or speaking. The main contribution of this work presents a hybrid method for improving predicting PD. This methodology has been obtained by means of testing a number of different combinations of classification algorithms and approaches for selecting attributes. A total of three attributes selection methods (correlation, information gain, and variance threshold) and three classifiers (decision trees (DT), naive bayes (NB), and support vector machine (SVM)) have been adopted. The speech data set provided by University of California-Irvine (UCI) machine learning (ML) repository is adopted to analyze the performance of different combinations. The combination of information gain and DT classifier achieved the best performance rather than other combination methods, reaching a classification accuracy of (97.43%). Finally, an additional comparison of the performance analysis with the results of previous studies was made and it was found that the proposed methodology proved to outperform the results of other studies conducted in this field.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138611997","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

Backstepping control with radial basis function neural network for web transport systems 利用径向基函数神经网络对网络传输系统进行反步态控制

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.5392

Tong Thi Ly, Vu Gia Loc, Dao Duc Thang, Pham Van Hung, T. Huong, Duong Minh Duc

引用次数: 0

Evaluation of three consumers' contribution to the current and voltage distortions at the point of common coupling 评估三个用户对共用耦合点的电流和电压畸变的影响

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.6150

Yaroslav Shklyarskiy, Iuliia Dobush, T. Sutikno, Mohd Hatta Jopri

引用次数: 1

Jumping particle swarm optimization algorithm framework for content-based image retrieval system 基于内容的图像检索系统的跳跃粒子群优化算法框架

Bulletin of Electrical Engineering and Informatics Pub Date : 2023-12-01 DOI: 10.11591/eei.v12i6.5024

Atheer Bassel, Mohammed Jameel, Mohammed Ayad Saad

{"title":"Jumping particle swarm optimization algorithm framework for content-based image retrieval system","authors":"Atheer Bassel, Mohammed Jameel, Mohammed Ayad Saad","doi":"10.11591/eei.v12i6.5024","DOIUrl":"https://doi.org/10.11591/eei.v12i6.5024","url":null,"abstract":"Content-based image retrieval (CBIR) has been studied well in the last decades in numerous research fields such as medicine, journalism, and private life. Applications of CBIR have been widely employed in medical images due to their direct impact on human life. With continues growing of digital libraries, there is a need for an efficient method to retrieve images from large datasets. In this paper, a new method was developed for CBIR based on the jumping particle swarm optimization (JPSO) algorithm. The proposed algorithm represents a developed instant of particle swarm optimization (PSO). However, JPSO the approach does not consider the velocity components to guide particle movements in the problem space. Instead of relying on inertia and velocity, intermittently random jumps (moves) occur from one solution to another within the discrete search space. To test the performance of the proposed algorithm, three types of medical image databases were used in the experiment which are the endoscopy 100, dental 100, and 50 skull image databases. The results show that the proposed algorithm could achieve high accuracy in image extraction and retrieve the accurate image category compared with other research works.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138620292","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