Turkish J. Electr. Eng. Comput. Sci.最新文献

Sensor Array System Based on Electronic Nose to Detect Borax in Meatballs with Artificial Neural Network 基于电子鼻的传感器阵列检测肉丸中硼砂的人工神经网络

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-09-02 DOI: 10.1155/2023/8847929

Anak Agung, Surya Pradhana, S. D. Astuti, Fauziah, Perwira Annissa Dyah, Permatasari, Riskia Agustina, A. K. Yaqubi, H. Setyawati, Cendra Devayana Putra

引用次数: 0

Comprehensive Overview of Modern Controllers for Synchronous Reluctance Motor 同步磁阻电动机现代控制器综述

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-30 DOI: 10.1155/2023/1345792

S. Angayarkanni, K. R. Kumar, A. Senthilnathan

引用次数: 0

Regular Vehicle Spatial Distribution Estimation Based on Machine Learning 基于机器学习的正则车辆空间分布估计

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-30 DOI: 10.1155/2023/4954035

Lin Liu, Bin Wang, Yongfu Li, Nenglong Hu

{"title":"Regular Vehicle Spatial Distribution Estimation Based on Machine Learning","authors":"Lin Liu, Bin Wang, Yongfu Li, Nenglong Hu","doi":"10.1155/2023/4954035","DOIUrl":"https://doi.org/10.1155/2023/4954035","url":null,"abstract":"For the mixed traffic flow, obtaining the distribution of connected vehicles (CVs) and regular vehicles (RVs) is of great significance for road network analysis and cooperative control in intelligent transportation systems (ITSs). However, whether it is based on fixed sensors or based on CVs and traffic mechanism to estimate the spatial distribution of RVs, the implementation complexity and low estimation accuracy are the points that need to be improved. This paper proposes a regular vehicle spatial distribution estimation method using adjacent connected vehicles as mobile sensors. First, to investigate the hidden relationship between the interaction information of adjacent CVs and the spatial distribution of RVs among CVs, the Gaussian mixture model-hidden Markov model (GMM-HMM) is selected as the identification method. Then, three sets of experiments were designed to study the influence of observed features on the identification capability of the model, generalization capability validation, and comparison with other methods, respectively. Finally, the proposed method is verified by the dataset generated by the car-following model. The experimental results show that selecting the relative position and time headway as observed features can effectively reflect the regular vehicle spatial distribution between adjacent CVs. The average accuracy of the proposed method to identify the regular vehicle spatial distribution is over 93.7%, which can provide valuable suggestions for the Internet of Vehicles application.","PeriodicalId":23352,"journal":{"name":"Turkish J. Electr. Eng. Comput. Sci.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86176111","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

Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System 无刷直流电机转矩误差与速度误差减小系统的优化模型转矩预测控制策略

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-25 DOI: 10.1155/2023/5563242

Ye Yuan, Cheng Liu, Siyu Chen, Zhenxiong Zhou

{"title":"Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System","authors":"Ye Yuan, Cheng Liu, Siyu Chen, Zhenxiong Zhou","doi":"10.1155/2023/5563242","DOIUrl":"https://doi.org/10.1155/2023/5563242","url":null,"abstract":"This paper presents an improved whale optimization algorithm (IWOA) for optimizing the model predictive torque control (MPTC) of brushless DC motor (BLDCM) to further reduce the problems of strong torque pulsation and high ripple caused by the special structure of BLDCM. IWOA adds a randomized convergence factor strategy to the original algorithm, enabling the parameter weights to be adjusted in time. The relative error between the training set and the predicted values is reduced, and a suitable interval is selected for the target. The proposed method takes into account the switching frequency loss factor in the MPTC system of BLDCM, discarding the traditional trial-and-error method and choosing to control the parameter adjustment by the degree of deviation. The IWOA is compared with the popular whale optimization algorithm (WOA), dragonfly algorithm (DA), ant colony optimization (ACO) algorithm, and grey wolf optimization (GWO) algorithm on the MATLAB SIMULINK platform to verify the effectiveness of the method in dealing with improved chain tracking, reduced torque pulsation, and reduced speed error. The simulation results show that IWOA performs well, with an efficiency of 94.32%.","PeriodicalId":23352,"journal":{"name":"Turkish J. Electr. Eng. Comput. Sci.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86570355","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 Noise Amplifier at 60 GHz Using Low Loss On-Chip Inductors 采用低损耗片上电感的60 GHz低噪声放大器

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-23 DOI: 10.1155/2023/2469673

K. Balamurugan, M. N. Devi, M. Jayakumar

{"title":"Low Noise Amplifier at 60 GHz Using Low Loss On-Chip Inductors","authors":"K. Balamurugan, M. N. Devi, M. Jayakumar","doi":"10.1155/2023/2469673","DOIUrl":"https://doi.org/10.1155/2023/2469673","url":null,"abstract":"This paper proposes the technique of using low loss on-chip inductors in the design of low noise amplifier (LNA) that offers high gain and lower noise figure. Upon the substrate of octagonal spiral inductors, a surface of patterned ground shield is inserted that significantly reduces the substrate loss. This effect limits the penetration of electric filed into the substrate, thereby improving the inductor’s Quality (Q) factor and decouples the substrate parasitic that results with smaller series resistance. These effects result with improved gain and noise figure of LNA at 60 GHz when the designed inductors are included in it to serve as gate, source, and load inductances. The proposed work uses an inductively degenerated 3-stage common-source LNA in a 65-nm CMOS process. Simulation results show that the LNA using custom designed inductors achieves the peak gain of 17.02 dB at 56 GHz with a noise figure of 5 dB at 60 GHz for the power consumption of 10 mW. The figure-of-merit (FOM) is 14.56 which is 0.8 times more than the LNA design using off-chip inductors. A complete LNA layout using custom designed inductor footprints has been presented and analyzed.","PeriodicalId":23352,"journal":{"name":"Turkish J. Electr. Eng. Comput. Sci.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89142167","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

Comparative Study of Two Nonlinear Control Strategies of Induction Motors considering Heating and Magnetic Saturation 考虑加热和磁饱和的两种异步电动机非线性控制策略的比较研究

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-21 DOI: 10.1155/2023/7907782

Mustapha Es-Semyhy, A. Ba-Razzouk, Mustapha Elharoussi, M. Madark

引用次数: 0

Integrated Mediapipe with a CNN Model for Arabic Sign Language Recognition 集成Mediapipe与CNN模型的阿拉伯手语识别

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-19 DOI: 10.1155/2023/8870750

A. Moustafa, Mohd Shafry Mohd Rahim, B. Bouallegue, M. Khattab, Amr Mohmed Soliman, Gamal Tharwat, Abdelmoty M. Ahmed

引用次数: 0

Real-Time Fire Detection Method Based on Computer Vision for Electric Vehicle Charging Safety Monitoring 基于计算机视觉的电动汽车充电安全实时火灾检测方法

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-17 DOI: 10.1155/2023/9215528

Yuchen Gao, Qing Yang, Shiyu Zhang, D. Gao

引用次数: 0

Retracted: Environmental Landscape Design Based on Artificial Intelligence and Digital Space Technology 撤回：基于人工智能和数字空间技术的环境景观设计

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-16 DOI: 10.1155/2023/9873094

Journal of Electrical and Computer Engineering

引用次数: 0

Retracted: Vehicle Detection Algorithm Based on Embedded Video Image Processing in the Background of Information Technology 撤回：信息技术背景下基于嵌入式视频图像处理的车辆检测算法

Turkish J. Electr. Eng. Comput. Sci. Pub Date : 2023-08-16 DOI: 10.1155/2023/9856928

Journal of Electrical and Computer Engineering

引用次数: 0