Journal of Electrical and Computer Engineering最新文献

Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing 利用数字图像处理快速检测光伏组件上的部分遮光，以实现精确的功率损耗率估算

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2024-01-04 DOI: 10.1155/2024/9385602

Eko Adhi Setiawan, Muhammad Fathurrahman, Radityo Fajar Pamungkas, Samsul Ma’arif

引用次数: 0

Optimization of a Hybrid Off-Grid Solar PV—Hydro Power Systems for Rural Electrification in Cameroon 优化喀麦隆农村电气化离网太阳能光伏-水力发电混合系统

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2024-01-02 DOI: 10.1155/2024/4199455

Chu Donatus Iweh, Guy Clarence Sèmassou, R. Ahouansou

{"title":"Optimization of a Hybrid Off-Grid Solar PV—Hydro Power Systems for Rural Electrification in Cameroon","authors":"Chu Donatus Iweh, Guy Clarence Sèmassou, R. Ahouansou","doi":"10.1155/2024/4199455","DOIUrl":"https://doi.org/10.1155/2024/4199455","url":null,"abstract":"The use of decentralized renewable energy systems will continue to play a significant role in electricity generation especially in developing countries where grid expansion to most remote areas is uneconomical. The income levels of these off-grid communities are often low, such that there is a need for the delivery of cost-effective energy solutions through optimum control and sizing of energy system components. This paper aims at minimizing the net present cost (NPC) and the levelised cost of energy (LCOE). The study presents a hybrid power system involving a hydroelectric, solar photovoltaic (PV), and battery system for a rural community in Cameroon. The optimization of the system was done using HOMER Pro and validated using a meta-heuristic algorithm known as genetic algorithm (GA). The GA approach was programmed using the MATLAB software. After the HOMER simulation, the optimal power capacity of 3 kW solar PV, 334.89 Ah battery, and 32.2 kW microhydropower was used to meet the load. The village load profile had a daily energy usage of 431.32 kWh/day and a peak power demand of 38.49 kW. The optimized results showed an NPC and LCOE of $90,469.16 and 0.0453 $/kWh, respectively. The system configuration was tested against an increase in hydropower capacity, and it was observed that increasing the hydropower capacity has the ability to significantly reduce the LCOE as well as the battery and solar PV size. A comparative analysis of the two approaches showed that the optimization using GA was more cost-effective than HOMER Pro with the least LCOE of 0.0344 $/kWh and NPC of $86,990.94 as well as a loss of power supply probability (LPSP) of 0.99%. In addition, the GA method gave more hydropower generation than HOMER Pro. This supports the fact that stochastic methods are more realistic and economically viable. They also accurately predict system operation than deterministic methods.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"56 10","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139452728","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

Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints 用于验证婴儿指纹的多实例权变融合技术

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2024-01-02 DOI: 10.1155/2024/7728707

T. Odu, Moses O. Olaniyan, T. Ogunfunmi, Isaac A. Samuel, J. Badejo, Atayero

{"title":"Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints","authors":"T. Odu, Moses O. Olaniyan, T. Ogunfunmi, Isaac A. Samuel, J. Badejo, Atayero","doi":"10.1155/2024/7728707","DOIUrl":"https://doi.org/10.1155/2024/7728707","url":null,"abstract":"It is imperative to establish an automated system for the identification of neonates (1–28 days old) and infants (29 days–12 months old) through the utilisation of the readily accessible 500 ppi fingerprint reader. This measure is crucial in addressing the issue of newborn swapping, facilitating the identification of missing children, monitoring immunisation records, maintaining comprehensive medical history, and other related purposes. The objective of this study is to demonstrate the potential for future identification of infants using fingerprints obtained from a 500 ppi fingerprint reader by employing a fusion technique that combines multiple instances of fingerprints, specifically the left thumb and right index fingers. The fingerprints were acquired from babies who were between the ages of one day and six months at the enrolment session. The sum-score fusion algorithm was implemented. The approach mentioned above yielded verification accuracies of 73.8%, 69.05%, and 57.14% for time intervals of 1 month, 3 months, and 6 months, respectively, between the enrolment and query fingerprints.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"86 12","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139390464","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

A Voice-Based Personal Assistant for Mental Health in Kreol Morisien 基于语音的 Kreol Morisien 心理健康私人助理

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2023-12-28 DOI: 10.1155/2023/5532967

B. Gobin-Rahimbux, N. Gooda Sahib, N. Peerthy, A. Taylor

{"title":"A Voice-Based Personal Assistant for Mental Health in Kreol Morisien","authors":"B. Gobin-Rahimbux, N. Gooda Sahib, N. Peerthy, A. Taylor","doi":"10.1155/2023/5532967","DOIUrl":"https://doi.org/10.1155/2023/5532967","url":null,"abstract":"Voice-based smart personal assistants (VSPAs) are applications that recognize speech-based input and perform a task. In many domains, VSPA can play an important role as it mimics an interaction with another human. For low-resource languages, developing a VSPA can be challenging due to the lack of available audio datasets. In this work, a VSPA in Kreol Morisien (KM), the native language of Mauritius, is proposed to support users with mental health issues. Seven conversational flows were considered, and two speech recognition models were developed using CMUSphinx and DeepSpeech, respectively. A comparative user evaluation was conducted with 17 participants who were requested to speak 151 sentences of varying lengths in KM. It was observed that DeepSpeech was more accurate with a word error rate (WER) of 18% compared to CMUSphinx at 24%, that is, DeepSpeech fully recognized 76 sentences compared to CMUSphinx where only 57 sentences were fully recognized. However, DeepSpeech could not fully recognize any 7-word sentences, and thus, it was concluded that the contributions of DeepSpeech to automatic speech recognition in KM should be further explored. Nevertheless, this research is a stepping stone towards developing more VSPA to support various activities among the Mauritian population.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"212 5","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139152970","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

Energy Sharing of Multiple Virtual Power Plants Based on a Peer Aggregation Model 基于对等聚合模型的多个虚拟发电厂的能源共享

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2023-12-23 DOI: 10.1155/2023/9130209

Sheng Li, Yujie Huang

{"title":"Energy Sharing of Multiple Virtual Power Plants Based on a Peer Aggregation Model","authors":"Sheng Li, Yujie Huang","doi":"10.1155/2023/9130209","DOIUrl":"https://doi.org/10.1155/2023/9130209","url":null,"abstract":"With the increasing number of virtual power plants (VPP) participating in market transactions, the joint operation and energy sharing mode of multiple virtual power plants (multi-VPP) has attracted attention. A peer aggregation model for the multi-VPP energy sharing is proposed based on sharing price. At the VPP autonomous optimization level, each VPP operator formulates an autonomous optimization strategy based on the price incentives and the internal resource parameters and adopts a robust optimization method to improve the strategy’s robustness. At the overall level, a sharing level index is introduced to formulate the sharing price mechanism and an overall sharing strategy is proposed. The case simulation results show that compared with the independent operation of each VPP, participating in energy sharing can effectively promote the overall consumption of renewable energy and the overall operating cost is reduced by 18%. The introduction of the sharing level index into the sharing price can effectively improve the rationality of the formulated sharing price, and the net electricity load fluctuation has a greater impact on the system cost than the thermal load fluctuation.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"15 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161545","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

A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC MEC 中协调任务卸载和资源分配的双代理方法

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2023-12-21 DOI: 10.1155/2023/6134837

Jiadong Dong, Kai Pan, Chunxiang Zheng, Lin Chen, Shunfeng Wu, Xiaoling Zhang

{"title":"A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC","authors":"Jiadong Dong, Kai Pan, Chunxiang Zheng, Lin Chen, Shunfeng Wu, Xiaoling Zhang","doi":"10.1155/2023/6134837","DOIUrl":"https://doi.org/10.1155/2023/6134837","url":null,"abstract":"Multiaccess edge computing (MEC) is a novel distributed computing paradigm. In this paper, we investigate the challenges of task offloading scheduling, communication bandwidth, and edge server computing resource allocation for multiple user equipments (UEs) in MEC. Our primary objective is to minimize system latency and local energy consumption. We explore the binary offloading and partial offloading methods and introduce the dual agent-TD3 (DA-TD3) algorithm based on the deep reinforcement learning (DRL) TD3 algorithm. The proposed algorithm coordinates task offloading scheduling and resource allocation for two intelligent agents. Specifically, agent 1 overcomes the action space explosion problem caused by the increasing number of UEs, by utilizing both binary and partial offloading. Agent 2 dynamically allocates communication bandwidth and computing resources to adapt to different task scenarios and network environments. Our simulation experiments demonstrate that the binary and partial offloading schemes of the DA-TD3 algorithm significantly reduce system latency and local energy consumption compared with deep deterministic policy gradient (DDPG) and other offloading schemes. Furthermore, the partial offloading optimization scheme performs the best.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"49 13","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949374","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

Retracted: A Study on Information Classification and Storage in Cloud Computing Data Centers Based on Group Collaborative Intelligent Clustering 撤回：基于群体协作智能聚类的云计算数据中心信息分类与存储研究

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2023-12-20 DOI: 10.1155/2023/9871497

Journal of Electrical and Computer Engineering

引用次数: 0

Retracted: A Recognition Method of Athletes’ Mental State in Sports Training Based on Support Vector Machine Model 撤回：基于支持向量机模型的运动训练中运动员心理状态识别方法

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2023-12-20 DOI: 10.1155/2023/9864265

Journal of Electrical and Computer Engineering

引用次数: 0

Retracted: Research on the Correlation between Information and Communication Technology Development and Consumer Spending Based on Artificial Intelligence and Time Series Econometric Model 撤回：基于人工智能和时间序列计量经济模型的信息通信技术发展与消费者支出相关性研究

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2023-12-20 DOI: 10.1155/2023/9849316

Journal of Electrical and Computer Engineering

引用次数: 0

Retracted: Active Learning Query Strategies for Linear Regression Based on Efficient Global Optimization 撤回：基于高效全局优化的线性回归主动学习查询策略

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2023-12-20 DOI: 10.1155/2023/9787854

Journal of Electrical and Computer Engineering

引用次数: 0