2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)最新文献_第2页

A Machine Learning Dataset for Enhancing Energy Efficiency in WSN 一种提高WSN能效的机器学习数据集

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185813

Walaa Alshamalat, Moath Alsafasfeh, A. Alhasanat

引用次数: 0

Battery Energy Storage Planning in Distribution Network with Renewable Resources 可再生资源配电网中蓄电池储能规划

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185830

Ahmed A. Alguhi, Majed A. Alotaibi, E. Al-Ammar, Ahmed A. Al katheri

{"title":"Battery Energy Storage Planning in Distribution Network with Renewable Resources","authors":"Ahmed A. Alguhi, Majed A. Alotaibi, E. Al-Ammar, Ahmed A. Al katheri","doi":"10.1109/JEEIT58638.2023.10185830","DOIUrl":"https://doi.org/10.1109/JEEIT58638.2023.10185830","url":null,"abstract":"The vital role of power system planning and operation is to provide secure, reliable, and high-quality energy services for the consumers in cost-effective manner and friendly environmental framework. This can be achieved by introducing innovative applications and technologies and integrating them into the system infrastructure. Battery Energy Storage Systems (BESS) are one of these technologies that are expected to play a key role in the energy sector in the near future. In this paper, a probabilistic planning model is introduced to optimize the location, size, and operation of BESSs that takes into consideration the intermittent nature of wind speed and solar irradiance as well as system demand uncertainty. BESSs investment and operation costs as well as upgrade costs of substation and distribution feeders and energy losses were considered in this study. The objective of this planning is to minimize the total expenditure and operation costs over planning period, and the problem was solved using Particle Swarm Optimization (PSO). The results have shown that integration of BESSs in the distribution system, in the presence of renewable resources will have a significant impact on reducing the total expenditure and operation costs in distribution systems.","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128019356","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

Genetic Algorithm-Based Path Planning for Autonomous Mobile Robots 基于遗传算法的自主移动机器人路径规划

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185855

Areej Alabbadi, Awos Kanan

引用次数: 0

Narrowband IoT Network Self Localization 窄带物联网自定位

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185709

Anas Alashqar, A. Khalifeh, R. Mesleh

引用次数: 0

Potentials of Utilizing Berkeley-Bioreactor Pile Composting as Heat Recovery System in Domestic and Small-Scale Applications 伯克利-生物反应器堆堆肥作为热回收系统在家庭和小规模应用中的潜力

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185677

Ghazi Sharqawi, Jamila Al-Husan, M. Alkasrawi, T. Enaya, Y. Okour

引用次数: 0

Diagnosis of Obstructive Sleep Apnea Using Machine Learning 阻塞性睡眠呼吸暂停的机器学习诊断

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185674

A. Sheta, S. Subramanian, S. Surani, Malik Braik

{"title":"Diagnosis of Obstructive Sleep Apnea Using Machine Learning","authors":"A. Sheta, S. Subramanian, S. Surani, Malik Braik","doi":"10.1109/JEEIT58638.2023.10185674","DOIUrl":"https://doi.org/10.1109/JEEIT58638.2023.10185674","url":null,"abstract":"Sleep apnea is a sleeping disorder affecting more than 20 % of all American adults, associated with intermittent air passageway obstruction during sleep. This results in intermittent hypoxia, sympathetic activation, and an interruption of sleep with various health consequences. The diagnosis of sleep apnea traditionally involves the performance of overnight polysomnography, where oxygen, heart rate, and breathing, among other physiologic variables, are continuously monitored during sleep at a sleep center. However, these sleep studies are expensive and impose access issues, given the number of patients who need to be diagnosed. There is hence utility in having an effective triage system to screen for OSA to utilize polysomnography better. In this study, we plan to explore using several machine learning algorithms to utilize pre-screening symptoms to diagnose obstructive sleep apnea (OSA). Per our experimental results, it was found that Decision Tree Classifier (DTC) and Random Forest (RF) provided the highest classification accuracies compared to other algorithms such as Logistic Regression (LR), Support Vector Machines (SVM), Gradient Boosting Classifier (GBC), Gaussian Naive Bayes (GNB), K Neighbors Classifier (KNC), and Artificial Neural Networks (ANN).","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127755103","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

Low-Cost Wireless Monitoring and Control: A Case Study for Industrial Implementation 低成本无线监测与控制:工业应用案例研究

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185740

Osama Albayari, Amin Yousef, Ramzi Albawab, Bahaa Jibrini, M. Salah

{"title":"Low-Cost Wireless Monitoring and Control: A Case Study for Industrial Implementation","authors":"Osama Albayari, Amin Yousef, Ramzi Albawab, Bahaa Jibrini, M. Salah","doi":"10.1109/JEEIT58638.2023.10185740","DOIUrl":"https://doi.org/10.1109/JEEIT58638.2023.10185740","url":null,"abstract":"In this study, a low-cost wireless industrial system is designed and implemented in a local pharmaceutical factory for monitoring and control. ESP8266 modules were utilized to establish wireless communication among various input and output devices in the factory. The master-slave (i.e., server-client) technology using ESP8266 modules was adopted for the communication topology where all clients can be connected to various types of sensors (e.g., to measure variables such as temperature, humidity, and pressure) and outputs (e.g., relays, lights, and output devices) for control purposes. It is in fact a simplified SCADA system implemented using low-cost WiFi microchips for monitoring and control. In addition, an HTML webpage was designed as a GUI for monitoring the sensors' measurements and manually controlling some output devices that are distributed normally in factories. Moreover, a data logger was also designed and implemented using Google Sheets for mainly saving the data (i.e., measurement of real-time parameter variations) and for generating informative reports for users and management.","PeriodicalId":177556,"journal":{"name":"2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128964973","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

Mobile Application Testing Strategies and Challenges: A Case Study In Jordan 移动应用测试策略和挑战:约旦的案例研究

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185894

D. Qatanani, A. Qusef

引用次数: 0

Use of Convolutional Neural Networks and Long Short-Term Memory for Accurate Residential Energy Prediction 卷积神经网络与长短期记忆在住宅能源预测中的应用

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185888

Hafiz Al-Alami, Hani O. Jamleh

引用次数: 1

A Hardware-Based Approach to Determine the Frequently Accessed DRAM Pages for Multi-Core Systems 一种基于硬件的确定多核系统频繁访问的DRAM页面的方法

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI: 10.1109/JEEIT58638.2023.10185689

Tareq A. Alawneh, Ahmed A. M. Sharadqh, M. Jarajreh, Jawdat S. Alkasassbeh

引用次数: 1