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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zuo, Peng Li, Weili Liu, Xiaoke Liu, Wenmao Li, Dan Qiao, Tianhuai School of Electrical Engineering Beijing Jiaotong University Beijing China Department of Electrical Engineering Tsinghua University Beijing China College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (纸本)9789819613861

With the trend towards larger-scale wind generators, the internal physical field and control strategy of high-capacity generator is becoming increasingly complex. The physical field change law inside the generator is often overlooked by the conventional wind energy conversion system (WECS) model. Therefore, developing a comprehensive and precise WECS model is essential for the safe operating of wind generators. Aiming at the above problems, this paper takes a 5 MW direct-drive permanent magnet synchronous generator (PMSG) as an example, and establishes a multi-domain coupling model. This approach can be used to investigate how the external characteristics of PMSG change under different operating conditions. Additionally, it has the ability to monitor how eddy currents are distributed in permanent magnets (PM), supporting generator design theoretically. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Permanent magnets

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Adaptive Fixed-Time Synchronization of Delayed Memristor-Based Neural Networks with Discontinuous Activations

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computer Modeling in engineering & Sciences 2023年第1期134卷 221-239页

作者： Tianyuan Jia Xiangyong Chen Xiurong Yao Feng Zhao Jianlong Qiu School of Automation and Electrical Engineering and Key Laboratory of Complex Systems and Intelligent Computing in Universities of ShandongLinyi UniversityLinyi276005China The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems and School of AutomationChina University of GeosciencesWuhan430074China

Fixed-time synchronization(FTS)of delayed memristor-based neural networks(MNNs)with discontinuous activations is studied in this *** continuous and discontinuous activations are considered *** the mixed delays which are closer to reality are taken into the ***,two kinds of control schemes are proposed,including feedback and adaptive control *** on some lemmas,mathematical inequalities and the designed controllers,a few synchronization criteria are ***,the upper bound of settling time(ST)which is independent of the initial values is ***,the feasibility of our theory is attested by simulation examples.

关键词： Memristor-based neural networks fixed-time synchronization mixed delays discontinuous activations adaptive control

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Parallel Implementation of the CCSDS Turbo Decoder on GPU

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China Communications 2024年第10期21卷 70-77页

作者： Liu Zhanxian Liu Rongke Zhang Haijun Wang Ning Sun Lei Wang Jianquan School of Computer&Communication Engineering University of Science and Technology BeijingBeijing 100083China School of Electronic and Information Engineering Beihang UniversityBeijing 100191China Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services Institute of Artificial IntelligenceUniversity of Science and Technology BeijingBeijing 100083China School of Information Engineering Zhengzhou UniversityZhengzhou 450001China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China

This paper presents a software turbo decoder on graphics processing units(GPU).Unlike previous works,the proposed decoding architecture for turbo codes mainly focuses on the Consultative Committee for Space Data Systems(CCSDS)***,the information frame lengths of the CCSDS turbo codes are not suitable for flexible sub-frame parallelism *** mitigate this issue,we propose a padding method that inserts several bits before the information frame *** obtain low-latency performance and high resource utilization,two-level intra-frame parallelisms and an efficient data structure are *** presented Max-Log-Map decoder can be adopted to decode the Long Term Evolution(LTE)turbo codes with only small *** proposed CCSDS turbo decoder at 10 iterations on NVIDIA RTX3070 achieves about 150 Mbps and 50Mbps throughputs for the code rates 1/6 and 1/2,respectively.

关键词： CCSDS CUDA GPU parallel decoding turbo codes

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Improved Particle swarm optimization Least Squares Support Vector Machine method for train wireless time delay prediction

Improved Particle swarm optimization Least Squares Support V...

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2023 International Conference on Smart Transportation and City engineering, STCE 2023

作者： Xu, Huigang Zhang, Liyan Li, Changxian School of Automation and Electrical Engineering Dalian Jiaotong University Dalian116028 China School of Computer and Communication Engineering Dalian Jiaotong University Dalian116028 China

ISBN: (纸本)9781510673540

In the process of high-speed movement of multiple unit trains, the train wireless communication delay has a very important impact on driving safety. If the delay is too long, the train will not be able to control, traction and brake normally. Therefore, a wireless delay prediction model based on Singular Spectrum Analysis (SSA)-Quantum Particle Swarm Optimization (QPSO) to optimize Least Squares Support Vector Machine (LSSVM) is proposed. Firstly, to lower the complexity of the sequence, the measured time series is broken down into components corresponding to different eigenvalues after singular value processing. During the decomposition process, the window length is selected using the Cao method. Secondly, each sub sequence is trained by QPSO-LSSVM model to determine the optimal parameters of LSSVM. Finally, each predicted subsequence is superimposed to get the final predicted results. The simulation results show that the proposed method has higher prediction accuracy and minimum prediction error compared to SSA-PSO-LSSVM, EMD-QPSO-LSSVM, and QPSO-LSSSVM methods. © 2024 SPIE.

关键词： Timing circuits

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Multi-objective Optimization of the Interior Permanent Magnet Synchronous Motor for Electric Vehicles 6

Multi-objective Optimization of the Interior Permanent Magne...

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6th IEEE International electrical and Energy Conference, CIEEC 2023

作者： Huang, Changchuang Kou, Baoqaun Zhao, Xiaokun Harbin Institute of Technology Electrical Engineering and Automation Heilongjiang China Northeast Forestry University Computer and Control Engineering Heilongjiang China

ISBN: (纸本)9798350346671

Permanent magnet synchronous motors (PMSMs) are widely used in various fields due to their high efficiency, high power factor and small volume. In this paper, a segmented permanent magnet interior permanent magnet synchronous motor (IPMSM) is proposed and optimized. First, the topology of the IPMSM is introduced. Second, multi-objective optimization is performed by non-dominated sorting genetic algorithm-II (NSGA-II) using rotor structure parameters as optimization variables, saliency ratio as constraint, electromagnetic torque and constant-power speed range as objective functions. Then, the electromagnetic characteristics of the initial IPMSM and the optimized IPMSM are analyzed and compared. The results show that the torque and constant-power speed range of the optimized motor are improved, which verifies the validity of the optimization method. The proposed motor is suitable for electric vehicles, which require large torque at low speeds and wide constant-power speed range at high speeds. © 2023 IEEE.

关键词： Multiobjective optimization

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Research on Wireless Power Transfer System for Aerospace Rotating Mechanism Applications 19th

Research on Wireless Power Transfer System for Aerospace Rot...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Tong, Lei Zhao, Wenbo Zhang, Qiang Lu, Ming Zhang, Jiantao Zhu, Chunbo School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China Beijing Institute of Control Engineering Beijing100000 China

ISBN: (纸本)9789819647996

With the popularization of wireless power transfer (WPT) in consumer electronics, this technology has attracted more and more researchers’ attention in the fields of automobile, aerospace, underwater ships and so on. WPT has become a subversive solution to the pain-point problem of many technical fields. At present, the rotating power supply in the aerospace is mainly realized by slip rings or cables. Slip rings are essentially current-carrying contact mechanical system, with the problems of short circuit and open circuit, which have become a technical bottleneck for long-life and high-reliability aerospace rotating mechanisms. WPT does not have mechanical wear problems and cable-drag problems. In this paper, a wireless rotating power supply system is proposed according to the requirements of space rotating mechanism, achieving an output power of 2.5 kW with an efficiency of 92% each channel. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Inductive power transmission

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GrasOpen: Biometric Authentication via Reach-and-Grasp for Smart Door Access Using Smartwatch

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IEEE Internet of Things Journal 2025年第13期12卷 25240-25253页

作者： Ding, Lei Shi, Jiale Wu, Yuan Hu, Xinrong Bi, Hongliang Chen, Yanjiao Wuhan Textile University School of Computer Science and Artificial Intelligence Engineering Research Center of Hubei Province for Clothing Information 430200 China China University of Mining and Technology School of Information and Control Engineering Jiangsu Xuzhou221116 China Zhejiang University College of Electrical Engineering Hangzhou310027 China

In the domain of smart devices, biometric identity authentication has become a leading and crucial technology, mainly because of its improved security and user convenience. Traditional methods frequently depend on complex activities, facial recognition, or passwords, which can be cumbersome and error-prone. This paper presents GrasOpen, an innovative biometric authentication system tailored for door-opening scenarios, utilizing the natural reach-and-grasp motion linked to door handles. The system employs smartwatches with accelerometers and gyroscopes to track and analyze arm movements, ensuring a seamless and intuitive user experience. GrasOpen tackles key challenges by leveraging the unique characteristics of the reach-and-grasp motion, eliminating the necessity for users to remember complex motions, and avoiding redundant actions like waiting for facial recognition. Specifically, GrasOpen initially proposes a lightweight model to discern door-opening actions from daily activities. Then, to realize the robust authentication system, GrasOpen integrates a complementary filter (CF) method to capture diversity-dependent features in door-opening actions. These features are subsequently processed through a modified ConvBoost model for precise user authentication. Experimental results reveal an impressive accuracy of 98.78% for activity recognition and 98.65% for identity authentication, highlighting GrasOpen’s excellence in function and performance. The system’s security and robustness are validated across diverse authentication environments. © 2014 IEEE.

关键词： Biometrics

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MobileNet-YOLOv2 Mask Wearing Detection Method Fused With Attention Mechanism 2

MobileNet-YOLOv2 Mask Wearing Detection Method Fused With At...

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2nd International Conference on Intelligent Perception and computer Vision, CIPCV 2024

作者： Lin, Qianmin Li, Jie Lu, Changjia Chen, Haojie Zhou, Chengxian Xiamen University of Technology School of Electrical Engineering and Automation Xiamen China Xiamen University of Technology School of Engineering and Automation Xiamen China Xiamen University of Technology School of Electrical Engineering and Automatio China Electric Power Equipment and Intelligent Control Xiamen Key Laboratory of Frontier Xiamen China

ISBN: (纸本)9798350360097

In view of the problem of slow detection speed and low accuracy in manual detection and existing mask wearing detection algorithms in special public places, this paper proposes a MobileNet-YOLOv2 mask wearing detection method fused with attention mechanism. We have adjusted the backbone network structure of the original YOLOv2 algorithm, replacing the backbone network Darknet-19 with MobileNet, and using deep separable convolution for feature extraction, greatly reducing the number of model parameters and computational complexity, and improving detection speed. Introducing the convolutional attention mechanism module CBAM enables the feature extraction network to focus more on key image regions and improve detection accuracy. Collect and establish 850 facial mask wearing images to train and test the proposed algorithm model. The experimental result shows that the average detection accuracy of wearing a mask reaches 90%, while the detection accuracy of not wearing a mask reaches 80%. Compared to the DarknetYOLOv2 and SSD algorithms, the detection speed has been improved by 6.3 and 6.5 times, and the model size has been reduced by 77.5%, 89.1%, and 89.2%, respectively, compared to Darknet-YOLOv2, R-CNN, and Faster-RCNN. © 2024 IEEE.

关键词： Feature extraction

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Dense Small Object Tracking via DeepSort Integrated with YOLOv.X-based Detection 13

Dense Small Object Tracking via DeepSort Integrated with YOL...

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13th International Conference on control, automation and Information Sciences, ICCAIS 2024

作者： Zhang, Mengfan Liu, Weifeng Xia, Xingyu School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi'an China School of Automation Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9798331542047

In order to address the problem of incomplete feature extraction, missed tracking, and incorrect tracking in dense small object tracking tasks, This paper proposes a DeepSort method based on YOLOv.X for input detection. This method uses YOLOv5 as the detection input for DeepSort to obtain more complete detection box information for dense small objects;Then, the feature extraction and fusion parts in YOLOv5 are reused to replace the appearance feature extraction network in DeepSort, improving the algorithm's performance in extracting features from dense small objects;On this basis, the CIoU algorithm is used as a measure of the correlation between unmatched detection boxes and unmatched prediction boxes during the tracking process to avoid unnecessary trajectory loss. The experimental results show that compared with the original DeepSort tracking algorithm, the improved algorithm improved the MOTA index by 3.6%, the MOTP index by 2.9%, and reduced the error ID conversion index by 269 times. © 2024 IEEE.

关键词： Object tracking

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A discrete-time looped functional approach and its application to discrete-time systems with cyclically varying delays

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Science China(Information Sciences) 2025年

作者： Wen-Hu CHEN Chuan-Ke ZHANG Chen-Rui WANG Ke-You XIE Yong HE Hong-Bing ZENG School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration School of Electrical and Information Engineering Hunan University of Technology

This paper investigates the stability analysis problem of discrete-time systems with cyclically varying *** previous studies, the delay investigated in this paper cyclically alternates between increasing and decreasing changes within its upper and lower bounds. First, to reasonably describe the cyclic variation characteristics of the delay, a discretetime looped functional(DTLF) approach and a refined allowable delay set(ADS) are proposed. Then, based on the constructed DTLF with delay-product terms and using matrix-separation-based inequality to estimate its forward difference,delay-variation-interval-dependent stability conditions considering two different ADSs are derived. Finally, the effectiveness and superiority of the obtained conditions are demonstrated through two numerical examples.

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