Electronics最新文献_第10页

Challenges in Information Systems Curricula: Effectiveness of Systems Application Products in Data Processing Learning in Higher Education through a Technological, Organizational and Environmental Framework 信息系统课程的挑战：从技术、组织和环境框架看高等教育数据处理学习中系统应用产品的有效性

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183616

Viorel-Costin Banța, Ștefan Bunea, Daniela Țuțui, Raluca Florentina Crețu

{"title":"Challenges in Information Systems Curricula: Effectiveness of Systems Application Products in Data Processing Learning in Higher Education through a Technological, Organizational and Environmental Framework","authors":"Viorel-Costin Banța, Ștefan Bunea, Daniela Țuțui, Raluca Florentina Crețu","doi":"10.3390/electronics13183616","DOIUrl":"https://doi.org/10.3390/electronics13183616","url":null,"abstract":"Higher education institutions are increasingly concerned with providing students with sustainable education by developing the necessary competencies for various roles in the business environment. To be more effective, courses must develop technological, organizational and environmental (TOE) competencies in an integrated manner. SAP is a tool that yields this possibility through the diversity of IT solutions by ensuring a significant increase in employability rates. Learning SAP is a competitive advantage because it helps with all aspects of digital transformation within the concept of Industry 4.0. Our research aims to investigate to what extent students perceive that they have acquired the knowledge and competencies specific to the three dimensions of the TOE framework within the SAP course. We have added a fourth dimension to the TOE framework: the learning context (L) considering the impact of the educational environment on perceived learning outcomes. Data collection was based on a questionnaire distributed to students enrolled in the SAP course in the academic year 2023–2024 at Bucharest University of Economic Studies (BUES). The data were processed using correlation and regression analysis. Reconfiguring the content elements of SAP courses based on the TOE framework would ensure greater effectiveness in the learning process.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"91 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-UAV Reconnaissance Task Assignment for Heterogeneous Targets with ACD-NSGA-II Algorithm 利用 ACD-NSGA-II 算法为异构目标分配多无人机侦察任务

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183609

Hong Zhang, Kunzhong Miao, Huangzhi Yu, Yifeng Niu

引用次数: 0

Machine Learning-Based Intrusion Detection Methods in IoT Systems: A Comprehensive Review 物联网系统中基于机器学习的入侵检测方法：全面回顾

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183601

Brunel Rolack Kikissagbe, Meddi Adda

引用次数: 0

Adaptive Knowledge Contrastive Learning with Dynamic Attention for Recommender Systems 针对推荐系统的动态关注自适应知识对比学习

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-10 DOI: 10.3390/electronics13183594

Hongchan Li, Jinming Zheng, Baohua Jin, Haodong Zhu

{"title":"Adaptive Knowledge Contrastive Learning with Dynamic Attention for Recommender Systems","authors":"Hongchan Li, Jinming Zheng, Baohua Jin, Haodong Zhu","doi":"10.3390/electronics13183594","DOIUrl":"https://doi.org/10.3390/electronics13183594","url":null,"abstract":"Knowledge graphs equipped with graph network networks (GNNs) have led to a successful step forward in alleviating cold start problems in recommender systems. However, the performance highly depends on precious high-quality knowledge graphs and supervised labels. This paper argues that existing knowledge-graph-based recommendation methods still suffer from insufficiently exploiting sparse information and the mismatch between personalized interests and general knowledge. This paper proposes a model named Adaptive Knowledge Contrastive Learning with Dynamic Attention (AKCL-DA) to address the above challenges. Specifically, instead of building contrastive views by randomly discarding information, in this study, an adaptive data augmentation method was designed to leverage sparse information effectively. Furthermore, a personalized dynamic attention network was proposed to capture knowledge-aware personalized behaviors by dynamically adjusting user attention, therefore alleviating the mismatch between personalized behavior and general knowledge. Extensive experiments on Yelp2018, LastFM, and MovieLens datasets show that AKCL-DA achieves a strong performance, improving the NDCG by 4.82%, 13.66%, and 4.41% compared to state-of-the-art models, respectively.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"3 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Objective Parameter Configuration Optimization of Hydrogen Fuel Cell Hybrid Power System for Locomotives 机车氢燃料电池混合动力系统的多目标参数配置优化

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-10 DOI: 10.3390/electronics13183599

Suyao Liu, Chunmei Xu, Yifei Zhang, Haoying Pei, Kan Dong, Ning Yang, Yingtao Ma

{"title":"Multi-Objective Parameter Configuration Optimization of Hydrogen Fuel Cell Hybrid Power System for Locomotives","authors":"Suyao Liu, Chunmei Xu, Yifei Zhang, Haoying Pei, Kan Dong, Ning Yang, Yingtao Ma","doi":"10.3390/electronics13183599","DOIUrl":"https://doi.org/10.3390/electronics13183599","url":null,"abstract":"Conventional methods of parameterizing fuel cell hybrid power systems (FCHPS) often rely on engineering experience, which leads to problems such as increased economic costs and excessive weight of the system. These shortcomings limit the performance of FCHPS in real-world applications. To address these issues, this paper proposes a novel method for optimizing the parameter configuration of FCHPS. First, the power and energy requirements of the vehicle are determined through traction calculations, and a real-time energy management strategy is used to ensure efficient power distribution. On this basis, a multi-objective parameter configuration optimization model is developed, which comprehensively considers economic cost and system weight, and uses a particle swarm optimization (PSO) algorithm to determine the optimal configuration of each power source. The optimization results show that the system economic cost is reduced by 8.76% and 18.05% and the weight is reduced by 11.47% and 9.13%, respectively, compared with the initial configuration. These results verify the effectiveness of the proposed optimization strategy and demonstrate its potential to improve the overall performance of the FCHPS.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced Coil Design for Inductive Power-Transfer-Based Power Supply in Medium-Voltage Direct Current Sensors 中压直流传感器中基于电感式功率传输电源的增强型线圈设计

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-09 DOI: 10.3390/electronics13173573

Seungjin Jo, Dong-Hee Kim, Jung-Hoon Ahn

引用次数: 0

Improved Plasma Etch Endpoint Detection Using Attention-Based Long Short-Term Memory Machine Learning 利用基于注意力的长短期记忆机器学习改进等离子体蚀刻终点检测

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-09 DOI: 10.3390/electronics13173577

Ye Jin Kim, Jung Ho Song, Ki Hwan Cho, Jong Hyeon Shin, Jong Sik Kim, Jung Sik Yoon, Sang Jeen Hong

{"title":"Improved Plasma Etch Endpoint Detection Using Attention-Based Long Short-Term Memory Machine Learning","authors":"Ye Jin Kim, Jung Ho Song, Ki Hwan Cho, Jong Hyeon Shin, Jong Sik Kim, Jung Sik Yoon, Sang Jeen Hong","doi":"10.3390/electronics13173577","DOIUrl":"https://doi.org/10.3390/electronics13173577","url":null,"abstract":"Existing etch endpoint detection (EPD) methods, primarily based on single wavelengths, have limitations, such as low signal-to-noise ratios and the inability to consider the long-term dependencies of time series data. To address these issues, this study proposes a context of time series data using long short-term memory (LSTM), a kind of recurrent neural network (RNN). The proposed method is based on the time series data collected through optical emission spectroscopy (OES) data during the SiO2 etching process. After training the LSTM model, the proposed method demonstrated the ability to detect the etch endpoint more accurately than existing methods by considering the entire time series. The LSTM model achieved an accuracy of 97.1% in a given condition, which shows that considering the flow and context of time series data can significantly reduce the false detection rate. To improve the performance of the proposed LSTM model, we created an attention-based LSTM model and confirmed that the model accuracy is 98.2%, and the performance is improved compared to that of the existing LSTM model.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"43 11 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Rail Surface Defect Detection Based on Improved CenterNet 基于改进型中心网的轨道表面缺陷检测研究

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-09 DOI: 10.3390/electronics13173580

Yizhou Mao, Shubin Zheng, Liming Li, Renjie Shi, Xiaoxue An

引用次数: 0

Smart Transfer Planer with Multiple Antenna Arrays to Enhance Low Earth Orbit Satellite Communication Ground Links 带多个天线阵列的智能传输刨床，用于加强低地轨道卫星通信地面链路

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-09 DOI: 10.3390/electronics13173581

Mon-Li Chang, Ding-Bing Lin, Hui-Tzu Rao, Hsuan-Yu Lin, Hsi-Tseng Chou

引用次数: 0

An Improved Collaborative Control Scheme to Resist Grid Voltage Unbalance for BDFG-Based Wind Turbine 基于 BDFG 的风力涡轮机抵抗电网电压不平衡的改进型协同控制方案

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-09 DOI: 10.3390/electronics13173582

Defu Cai, Rusi Chen, Sheng Hu, Guanqun Sun, Erxi Wang, Jinrui Tang

{"title":"An Improved Collaborative Control Scheme to Resist Grid Voltage Unbalance for BDFG-Based Wind Turbine","authors":"Defu Cai, Rusi Chen, Sheng Hu, Guanqun Sun, Erxi Wang, Jinrui Tang","doi":"10.3390/electronics13173582","DOIUrl":"https://doi.org/10.3390/electronics13173582","url":null,"abstract":"This article presents an improved collaborative control to resist grid voltage unbalance for brushless doubly fed generator (BDFG)-based wind turbine (BDFGWT). The mathematical model of grid-connected BDFG including machine side converter (MSC) and grid side converter (GSC) in the αβ reference frame during unbalanced grid voltage condition is established. On this base, the improved collaborative control between MSC and GSC is presented. Under the control, the control objective of the whole BDFGWT system, including canceling the pulsations of electromagnetic torque and the unbalance of BDFGWT’s total currents, pulsations of BDFGWT’s total powers are capable of being realized; therefore, the control capability of BDFGWT to resist unbalanced grid voltage is greatly improved. Moreover, improved single-loop current controllers adopting PR regulators are proposed for both MSC and GSC where the sequence extractions for both MSC and GSC currents are not needed any more, and hence the proposed control is much simpler. In addition, the transient characteristics are also improved. Moreover, in order to achieve the decoupling control of current and average power, current controller also adopts the feedforward control approach. Case studies for a two MW BDFGWT system are implemented, and the results verify that the presented control is capable of effectively improving the control capability for BDFGWT to resist grid voltage unbalance and exhibit good stable and dynamic control performances.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"37 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0