Journal of Electrical and Computer Engineering最新文献_第7页

Utilization of Stockwell Transform and Random Forest Algorithm for Efficient Detection and Classification of Power Quality Disturbances 利用斯托克韦尔变换和随机森林算法对电能质量扰动进行有效检测和分类

Journal of Electrical and Computer Engineering Pub Date : 2023-10-07 DOI: 10.1155/2023/6615662

T. Ravi, K. Sathish Kumar, C. Dhanamjayulu, Baseem Khan

{"title":"Utilization of Stockwell Transform and Random Forest Algorithm for Efficient Detection and Classification of Power Quality Disturbances","authors":"T. Ravi, K. Sathish Kumar, C. Dhanamjayulu, Baseem Khan","doi":"10.1155/2023/6615662","DOIUrl":"https://doi.org/10.1155/2023/6615662","url":null,"abstract":"Power quality disturbances (PQDs) can lead to significant operational and financial losses in power systems. Accurate detection and classification of PQDs are essential for maintaining power quality and preventing power system failures. This research article introduces an innovative approach for the precise detection and classification of single- and multiple-state power quality disturbances (PQDs) using the Stockwell transform (ST) and a random forest classifier. To create realistic PQD signals, seventeen distinct classes are generated in accordance with IEEE Standard 1159, employing mathematical equations implemented in MATLAB software. The ST is employed to extract relevant features from the PQD signals, which are subsequently utilized as input for the random forest classifier. The classifier employs bootstrapping sampling to generate multiple training sets from the original dataset. Each training set is used to construct a decision tree by recursively partitioning the data based on significant features. To mitigate overfitting and enhance robustness, a random subset of features is selected at each node of the decision tree, thereby reducing tree correlation. The performance of the random forest classifier is compared with other widely utilized machine learning classifiers. The results exhibit the efficacy of the proposed approach in accurately detecting and classifying PQ events, highlighting its superiority over alternative methods.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135301579","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

Design of a Novel Decimal to Multicode Converter in QCA Technology QCA技术中一种新型十进多码转换器的设计

Journal of Electrical and Computer Engineering Pub Date : 2023-10-07 DOI: 10.1155/2023/6615790

Farhad Fouladinia, Mohammad Gholami

{"title":"Design of a Novel Decimal to Multicode Converter in QCA Technology","authors":"Farhad Fouladinia, Mohammad Gholami","doi":"10.1155/2023/6615790","DOIUrl":"https://doi.org/10.1155/2023/6615790","url":null,"abstract":"Researchers are always looking for the improvement of existing methods. Today, CMOS technology is widely used, which has some advantages and disadvantages. One of the alternative methods for CMOS technology is QCA technology which compared to CMOS, has the advantages of low energy consumption and small occupied area. In this paper, by using the concepts and methods of QCA technology, a digital code converter is presented. In this converter, a new gate is used, which can produce outputs such as 4-input AND, 4-input OR, 4-input NAND, and 4-input NOR. The proposed converter has 10 inputs and 12 outputs. The 10 inputs are decimal numbers from 0 to 9, producing the output equivalent to excess-3, BCD, and gray codes. One of the advantages of this circuit is providing three different codes per input in just one circuit. In addition, due to the use of the new 4-input gate, the occupied area and the number of used cells were minimized. Simulations were performed by using QCADesigner-E version 2.2, and outcomes illustrated that the occupied area is equal to 0.29 μm2 and 380 QCA cells with 7 clock phases are used. The energy dissipation of the presented circuit is 171 meV. Also, given the favorable performance exhibited by the 4-input gate across various measurement parameters, it possesses the capability to be efficiently employed within larger and intricately designed circuits.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253260","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: Behavior of Sports Tourism Consumers Based on Cloud Computing and Mobile Big Data 撤下:基于云计算和移动大数据的体育旅游消费者行为研究

Journal of Electrical and Computer Engineering Pub Date : 2023-10-04 DOI: 10.1155/2023/9804630

Journal of Electrical and Computer Engineering

引用次数: 0

Secured Wireless Network Based on a Novel Dual Integrated Neural Network Architecture 基于新型双集成神经网络结构的安全无线网络

Journal of Electrical and Computer Engineering Pub Date : 2023-09-28 DOI: 10.1155/2023/9390660

H. V. Ramachandra, Pundalik Chavan, S. Supreeth, H. C. Ramaprasad, K. Chatrapathy, G. Balaraju, S. Rohith, H. S. Mohan

{"title":"Secured Wireless Network Based on a Novel Dual Integrated Neural Network Architecture","authors":"H. V. Ramachandra, Pundalik Chavan, S. Supreeth, H. C. Ramaprasad, K. Chatrapathy, G. Balaraju, S. Rohith, H. S. Mohan","doi":"10.1155/2023/9390660","DOIUrl":"https://doi.org/10.1155/2023/9390660","url":null,"abstract":"The development of the fifth generation (5G) and sixth generation (6G) wireless networks has gained wide spread importance in all aspects of life through the network due to their significantly higher speeds, extraordinarily low latency, and ubiquitous availability. Owing to the importance of their users, components, and services to our everyday lives, the network must secure all of these. With such a wide range of devices and service types being present in the 5G ecosystem, security issues are now much more prevalent. Security solutions, are not implemented, must already be envisioned in order to deal with a range of attacks on numerous services, cutting-edge technology, and more user information available over the network. This research proposes the dual integrated neural network (DINN) for secure data transmission in wireless networks. DINN comprises two neural networks based on sparse and dense dimensions. DINN is designed for any presence of deep learning-based attack in a physical security layer. DINN is evaluated considering the various machine learning attack such as basic_iterative_method attack, momentum_iterative_method attack, post_gradient_descent attack, and C&W attack; comparison is carried out on existing and DINN, considering attack success rate and MSE. Performance analysis suggests that DINN holds a higher level of security against the above attacks.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344498","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

Designing an Efficient System for Emotion Recognition Using CNN 利用CNN设计一个高效的情绪识别系统

Journal of Electrical and Computer Engineering Pub Date : 2023-09-15 DOI: 10.1155/2023/9351345

Donia Ammous, Achraf Chabbouh, Awatef Edhib, Ahmed Chaari, Fahmi Kammoun, Nouri Masmoudi

引用次数: 0

Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models 基于粒子群优化和预测模型的电压平衡智能集成方法

Journal of Electrical and Computer Engineering Pub Date : 2023-09-15 DOI: 10.1155/2023/8864216

Jasim Ghaeb, Ibrahim Al-Naimi, Malek Alkayyali

{"title":"Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models","authors":"Jasim Ghaeb, Ibrahim Al-Naimi, Malek Alkayyali","doi":"10.1155/2023/8864216","DOIUrl":"https://doi.org/10.1155/2023/8864216","url":null,"abstract":"In this paper, an intelligent integrated approach is proposed to control the reactive power and restore the voltage balance in a three-phase power system using particle swarm optimization (PSO), Gaussian process regression (GPR), and support vector machine (SVM). The PSO algorithm is used in offline mode to determine the optimal set of firing angles for the thyristor-controlled-reactor (TCR) compensator according to the smallest fitness value required for voltage balancing. The optimum firing angles are then used to train the GPR and SVM regression models. The GPR and SVM models are finally used as a real-time controller to retrieve the voltage balance in online mode. A simulation model and experimental setup of the electrical power system are built. The modeled system consists of a 500 km long transmission line. The line is divided into three-pi sections to guarantee a real system response. Several simulation and practical case studies have been conducted to test and validate the capability of the proposed integrated approach in solving the voltage unbalance problem. The results have revealed the supreme ability of the proposed integrated approach to restore the voltage balance quickly (within 20 ms) and for a wide range of voltage unbalance factors (VUFs) (3.90–8.42%).","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135393574","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

The Relevance of Open Data Principles for the Web of Data 开放数据原则与数据网络的相关性

Journal of Electrical and Computer Engineering Pub Date : 2023-09-14 DOI: 10.1155/2023/4854965

Jhon Francined Herrera-Cubides, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marin, Salvador Sánchez-Alonso

{"title":"The Relevance of Open Data Principles for the Web of Data","authors":"Jhon Francined Herrera-Cubides, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marin, Salvador Sánchez-Alonso","doi":"10.1155/2023/4854965","DOIUrl":"https://doi.org/10.1155/2023/4854965","url":null,"abstract":"Open data has been improving both publishing platforms and the consumers-oriented process over the years, providing better openness policies and transparency. Although organizations have tried to open their data, the enrichment of their resources through the Web of Data has been decreasing. Linked data has been suffering from notable difficulties in different stages of its life cycle, becoming over the years less attractive to users. According to that, we decided to explore how the lack of some opening requirements affects the decline of the Web of Data. This paper presents the Web of Data radiography, analyzing the governmental domain as a case study. The results indicate that it is necessary to strengthen the data opening process to improve resource enrichment on the Web and have better datasets. These improvements describe that open data must be public, accessible (in machine-readable formats), described (use of robust, granular metadata), reusable (made available under an open license), complete (published in primary forms), and timely (preserve the value of the data). The implementation of these characteristics would enhance the availability and reuse of datasets. Besides, organizations must understand that opening and enriching their data require a completely new approach, and they have to pay special attention and control to this project, generally by putting money, the commitment by management at all levels, and lots of time. On the contrary, given the magnitude of availability and reuse problems identified in the opening and enrichment data process, it is believed that the Web of Data model would inevitably lose the interest it aroused at the beginning if not addressed immediately by data quality, openness, and enrichment issues. Besides, its use would be restricted to a few particular niches or would even disappear altogether.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135552547","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

Lithium-Ion Battery State-of-Health Estimation Method Using Isobaric Energy Analysis and PSO-LSTM 基于等压能量分析和PSO-LSTM的锂离子电池健康状态评估方法

Journal of Electrical and Computer Engineering Pub Date : 2023-09-11 DOI: 10.1155/2023/5566965

Shaishai Zhao, Laijin Luo, Shanhe Jiang, Chaolong Zhang

{"title":"Lithium-Ion Battery State-of-Health Estimation Method Using Isobaric Energy Analysis and PSO-LSTM","authors":"Shaishai Zhao, Laijin Luo, Shanhe Jiang, Chaolong Zhang","doi":"10.1155/2023/5566965","DOIUrl":"https://doi.org/10.1155/2023/5566965","url":null,"abstract":"The precise estimation of the state of health (SOH) for lithium-ion batteries (LIBs) is one of the core problems for battery management systems. To address the problem that it is difficult to accurately evaluate SOH because of the LIB capacity regeneration phenomenon, this paper proposes an approach for LIB SOH estimation using isobaric energy analysis and improved long short-term memory neural network (LSTM NN). Specifically, at first, the isobaric energy curve is plotted by analyzing the battery energy variation during the constant current charging stage. Then, the mean peak value of the isobaric energy curve is extracted as a health factor to characterize the battery SOH aging. Eventually, the LIB SOH estimation model is developed using the improved LSTM NN. In this regard, the improved LSTM NN refers to the selection of the number of hidden layers and the learning rate of the LSTM NN using the particle swarm algorithm (PSO). To verify the precision of the proposed method, validation experiments are performed based on four battery aging data with different charging multipliers. The experimental results indicate that the proposed method can effectively estimate the LIB SOH. Meanwhile, the proposed method is compared with other conventional machine learning algorithms, which demonstrates that the proposed method has better estimation performance.","PeriodicalId":46573,"journal":{"name":"Journal of Electrical and Computer Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135937817","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

Solar Photovoltaic Power Forecasting 太阳能光伏发电预测

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2020-12-31 DOI: 10.1155/2020/8819925

Abdelhakim El hendouzi, Abdennaser Bourouhou

引用次数: 19

A Wireless Multisensor Node for Long-Term Environmental Parameters Monitoring 一种用于长期环境参数监测的无线多传感器节点

IF 2.4

Journal of Electrical and Computer Engineering Pub Date : 2020-12-28 DOI: 10.1155/2020/8872711

Deguang Li, Tianhao Wu, Xiaohui Li, Qiurui He, Zhanyou Cui

引用次数: 2