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Remora Jaya Optimization-Enabled Deep Quantum Neural Network for Underwater Target Tracking Using Radar Images 基于Remora Jaya优化的深度量子神经网络用于雷达图像水下目标跟踪
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-14 DOI: 10.1080/01969722.2023.2175142
D. Thiruselvan, John Patrick Ananth
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引用次数: 0
Adaptive Fuzzy-Based SMC for Controlling Torque Ripples in Brushless DC Motor Drive Applications 基于自适应模糊的SMC在无刷直流电机转矩脉动控制中的应用
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-14 DOI: 10.1080/01969722.2023.2177800
R. Senthilkumar, R. Balamurugan
Abstract The use of Brushless-DC (BLDC) motor drives in many industrial settings has grown in recent years. In an ideal situation, the torque generated via BLDC motors with a trapezoidal back electromotive force (BEMF) remains unchanged. But, in actuality, the generated torque is distorted by torque ripples (TRs). These TRs make it essential that variable-speed drives operate smoothly. Power electronic switches are used by BLDC motors during commutation, which causes harmonics within the armature current. Sliding-mode control (SMC) is parameter-resistant and dynamic. SMC design involves reaching and sliding. SMC flaws include chattering. A reduced discontinuous gain control policy may strengthen this problem. The controller’s dynamic responsiveness will degrade. The standard SMC strategy’s indefinite converging rate for error to zero lowers dynamic reaction time. For the SMC to converge indefinitely, an adaptive strategy in fuzzy-based SMC (hybrid control technique) is developed to control the TRs in BLDC motor drives. In a BLDC motor, the recommended controller is used to regulate the harmonics as well as the speed. Based on modeling with MATLAB and observations on an operational 3 kW BLDC motor, the suggested approach is beneficial in the lowering of torque waves and current harmonics. The findings reported here support the efficiency of the suggested approach.
摘要近年来,无刷直流电机在许多工业环境中的应用越来越多。在理想情况下,通过具有梯形反电动势(BEMF)的无刷直流电机产生的转矩保持不变。但是,实际上,所产生的扭矩被扭矩波纹(TR)扭曲。这些TR使变速驱动器平稳运行变得至关重要。无刷直流电机在换向过程中使用功率电子开关,这会在电枢电流中产生谐波。滑模控制具有抗参数性和动态性。SMC设计包括伸展和滑动。SMC缺陷包括抖动。减少的不连续增益控制策略可能会强化这个问题。控制器的动态响应能力将降低。标准SMC策略的误差为零的不确定收敛率降低了动态反应时间。为了使无刷直流电机的滑模控制具有无限收敛性,提出了一种基于模糊的滑模控制(混合控制技术)的自适应策略来控制无刷直流电动机的转矩。在无刷直流电机中,推荐的控制器用于调节谐波和速度。基于MATLAB建模和对操作3的观察 kW无刷直流电动机,所提出的方法有利于降低转矩波和电流谐波。此处报告的调查结果支持所建议的方法的效率。
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引用次数: 1
Enhanced Multimodal Fake News Detection with Optimal Feature Fusion and Modified Bi-LSTM Architecture 基于最优特征融合和改进Bi-LSTM结构的多模态假新闻检测
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-14 DOI: 10.1080/01969722.2023.2175155
V. Kishore, Mukesh Kumar
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引用次数: 2
An Efficient Document Clustering Approach for Devising Semantic Clusters 一种设计语义聚类的高效文档聚类方法
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-11 DOI: 10.1080/01969722.2023.2175135
E. K. Jasila, N. Saleena, K. A. Abdul Nazeer
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引用次数: 0
Assured and Provable Data Expuncturing in cloud using Ciphertext Policy–Attribute Based Encryption (CP-ABE) 使用密文策略在云中进行有保证和可验证的数据挖掘-基于属性的加密(CP-ABE)
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-11 DOI: 10.1080/01969722.2023.2176654
A. P, S. J
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引用次数: 0
HBRO-AlexNet: Honey Badger Remora Optimization Integrated AlexNet for Cooperative Spectrum Sensing in Cognitive Radio Network 基于认知无线电网络协同频谱感知的Honey Badger remoa优化集成AlexNet
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-11 DOI: 10.1080/01969722.2023.2175120
Neelam Dewangan, Arun Kumar, R. N. Patel
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引用次数: 0
Hybrid Optimization Assisted Green Power Allocation Model for QoS-Driven Energy-Efficiency in 5G Networks 基于qos驱动的5G网络能效混合优化辅助绿色电力分配模型
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-10 DOI: 10.1080/01969722.2023.2175147
Shriganesh Yadav, S. Nanivadekar
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引用次数: 1
Semantic Segmentation for Brain Injury Using Multi-Class Deep Level Convolution Networks 基于多类深度卷积网络的脑损伤语义分割
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-10 DOI: 10.1080/01969722.2023.2176658
S. Roselin Mary, Manmohan Singh, N. Aparna, D. Rosy Salomi Victoria
{"title":"Semantic Segmentation for Brain Injury Using Multi-Class Deep Level Convolution Networks","authors":"S. Roselin Mary, Manmohan Singh, N. Aparna, D. Rosy Salomi Victoria","doi":"10.1080/01969722.2023.2176658","DOIUrl":"https://doi.org/10.1080/01969722.2023.2176658","url":null,"abstract":"","PeriodicalId":55188,"journal":{"name":"Cybernetics and Systems","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42679881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Secure IoT Based Wireless Sensor Network Data Aggregation and Dissemination System 一种基于物联网的安全无线传感器网络数据汇聚与分发系统
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-10 DOI: 10.1080/01969722.2023.2176653
Charanjeet Singh, Syed Asif Basha, A. Bhushan, Mithra Venkatesan, A. Chaturvedi, Anurag Shrivastava
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引用次数: 11
Optimized Deep Learning-Based E-Waste Management in IoT Application via Energy-Aware Routing 基于能量感知路由的物联网应用中基于深度学习的优化电子垃圾管理
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2023-02-10 DOI: 10.1080/01969722.2023.2175119
P. Ramya, V. Ramya, M. Babu Rao
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引用次数: 3
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