Journal of Electrical & Electronic Systems Research最新文献_第5页

The Analysis of the Geomagnetic Data during the installation of the First MAGDAS System at the Malaysian Space Agency 马来西亚航天局第一个MAGDAS系统安装过程中的地磁数据分析

Journal of Electrical & Electronic Systems Research Pub Date : 2022-04-01 DOI: 10.24191/jeesr.v20i1.017

K. Burhanudin, M. H. Jusoh, Z. I. A Latiff, A. Zainuddin, F. Kamaruddin, M. Hashim, Magdas CPMN Group

{"title":"The Analysis of the Geomagnetic Data during the installation of the First MAGDAS System at the Malaysian Space Agency","authors":"K. Burhanudin, M. H. Jusoh, Z. I. A Latiff, A. Zainuddin, F. Kamaruddin, M. Hashim, Magdas CPMN Group","doi":"10.24191/jeesr.v20i1.017","DOIUrl":"https://doi.org/10.24191/jeesr.v20i1.017","url":null,"abstract":"120 Abstract— Magnetic Data Acquisition System (MAGDAS) is a system of the real-time magnetometer deploy by Kyushu University of Fukuoka, Japan as a part of the contribution to the International Heliophysical Year of United Nations[1]. The magnetometer used for real-time data acquisition is YU-8T SN-59, which is a part of the first model of the MAGDAS magnetometer. This paper discussed the characteristic of the magnetic data from the MAGDAS BTG and the possibility of the data to be used for further research study in the field of space and weather. There is 3 main magnetic field component from YU-8T magnetometer that describes the magnetic field which is Horizontal Intensity (Hcomponent), Declination (D-component) and Vertical Component (Z-component). The installation of the MAGDAS system is located at Malaysian Space Agency (MYSA), Banting (BTG), Malaysia (geographic latitude and longitude: 2.78O, 101.51O, and geomagnetic latitude and longitude: 6.86O, 174.10O). The YU-8T magnetometer measures the earth’s magnetic field in horizontal intensity(H), declination(D), and field down(Z). The magnetic field data were collected, analyze, and compared with the MAGDAS LKW, USM, and the World Magnetic Model (WMM) to verify the performance of the MAGDAS BTG. The importance of the study is to identify the reliability and characteristic of the magnetic data from the MAGDAS BTG in response to the solar event and GIC formation.","PeriodicalId":313365,"journal":{"name":"Journal of Electrical & Electronic Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132188924","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

Database Connection Pool in Microservice Architecture 微服务架构中的数据库连接池

Journal of Electrical & Electronic Systems Research Pub Date : 2022-04-01 DOI: 10.24191/jeesr.v20i1.004

Nur Ayuni Nor Sobri, Mohamad Aqib Haqmi Abas, A. I. Mohd Yassin, M. S. A. Megat Ali, N. Md. Tahir, A. Zabidi

{"title":"Database Connection Pool in Microservice Architecture","authors":"Nur Ayuni Nor Sobri, Mohamad Aqib Haqmi Abas, A. I. Mohd Yassin, M. S. A. Megat Ali, N. Md. Tahir, A. Zabidi","doi":"10.24191/jeesr.v20i1.004","DOIUrl":"https://doi.org/10.24191/jeesr.v20i1.004","url":null,"abstract":"29 Abstract—The increase and growing number of users in the internet gives a higher requirement to backend application systems nowadays to be designed to handle thousands of users traffic concurrently. Microservice architecture is also in a rising trend which they allow for each service to scale horizontally by their throughput and load helps to scale the system efficiently without waste of resources like in the traditional monolithic application system. Database connection pool helps for backend systems to access databases efficiently. The present issue is determining the optimal number of database connections to use in a microservice based backend system. This paper aims to find the most suitable amount of database connections in a microservice setting, where multiple instances of the service are used for scalability and high availability purposes of the system. The experiment was conducted by varying the number of database connections from one to five to ten in both single instance and three instance services, where the service being examined is the backend system's roles and permissions service. The results of this experiment indicate that five database connections provide the best performance latency result in a microservice architecture with three service instances. With 2000 requests per second, the maximum latency was 53ms, while the 99th percentile latency was 19ms. The study contributes by determining the optimal size of a database connection pool for use in a microservice architecture with several instances of the service are operating concurrently.","PeriodicalId":313365,"journal":{"name":"Journal of Electrical & Electronic Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123369883","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

Predicting Engineering Students' Academic Performance using Ensemble Classifiers- A Preliminary Finding 使用集成分类器预测工程学生的学习成绩-初步发现

Journal of Electrical & Electronic Systems Research Pub Date : 2022-04-01 DOI: 10.24191/jeesr.v20i1.013

A’zraaAfhzan Ab Rahim, N. Buniyamin

{"title":"Predicting Engineering Students' Academic Performance using Ensemble Classifiers- A Preliminary Finding","authors":"A’zraaAfhzan Ab Rahim, N. Buniyamin","doi":"10.24191/jeesr.v20i1.013","DOIUrl":"https://doi.org/10.24191/jeesr.v20i1.013","url":null,"abstract":"92 Abstract— Current literature review indicates a void of an accurate predictive tool to assist educators and administrators in analyzing and monitoring student performance in Malaysia. Wellknown data mining classifiers such as Decision Tree (DT), Support Vector Machine (SVM), Logistic Regression (LR), Naïve Bayes (NB), and K-nearest neighbor (KNN) have been traditionally used but often suffer from the high variance and overfitting issues indicated by good performance on training data but relatively poor on unseen data. To address these problems, alternative ensemble classifiers such as Extreme Gradient Boosting (XGB), Random Forest (RF), and Heterogeneous Ensemble Method (HEM) are evaluated/proposed. This paper aims to compare the performance of single versus ensemble classifiers. In addition, another overarching research objective is to predict students' CGPA during their final semester grades by augmenting the more widely used cognitive with non-cognitive features to obtain a holistic solution. Not only will the accuracy among classifiers be compared, but another priority measure is their recall value to ensure each sample is classified correctly. It is found that ensemble classifiers outperform their single classifiers in terms of both accuracy and recall. Preliminary results indicate that augmenting cognitive features with non-cognitive features results in better accuracy in classifiers and can classify samples according to their respective classes with less variability.","PeriodicalId":313365,"journal":{"name":"Journal of Electrical & Electronic Systems Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124084835","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

Implementation of Fuzzy PID Controller on Hot Air Blower System 模糊PID控制器在热风系统中的实现

Journal of Electrical & Electronic Systems Research Pub Date : 2022-04-01 DOI: 10.24191/jeesr.v20i1.010

Atiqah Liyana Md Said, N. Ishak, M. Tajjudin

引用次数: 0

Journal of Electrical &amp; Electronic Systems Research最新文献

Journal of Electrical & Electronic Systems Research最新文献