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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Zhenyu Feng Ming Su Meihua Zhou Zhixin Liu School of Electrical Engineering Yanshan University Qinhuangdao China Training Center of Liren College Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao Hebei Province China

In this paper, we integrate wireless powered communication networks (WPCNs) with cognitive radio networks (CRNs) in order to develop wireless powered CRNs (WP-CRNs). The hybrid access point (HAP) is used to broadcast radio-frequency signals to the devices at the downlink stage, and to receive information from these devices. The HAP has two antennas to achieve full-duplex: one is for downlink wireless power transfer and the other is for receiving uplink information transmission from the users simultaneously in the uplink. In the underlay paradigms. The SUs can harvest energy to transmit data when the interference to primary users (PUs) does not exceed a tolerable threshold. To tackle the above network issues, an optimal resource allocation method is proposed to maximize the secondary system uplink throughput. The optimization problem with respect to time and power allocation is formulated including the constraint of energy causality and interference level. The non-convex problem is transformed into an equivalent convex optimization problem, then the joint optimal power and time allocation (JOPTA) algorithm is presented to determine the optimal solutions. The effectiveness of the proposed algorithm is verified in the simulations.

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Phase-Based Quantification of Sports Performance Metrics Using a Smart IoT Sensor

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IEEE Internet of Things Journal 2023年第18期10卷 15900-15911页

作者： Chen, Meng Szu, Hui Fang Lin, Hsin Yen Liu, Yifan Chan, Ho-Yin Wang, Yufan Zhao, Yuliang Zhang, Guanglie Yao, Jeffrey Da-Jeng Li, Wen Jung National Tsing Hua University Physical Education Office Hsinchu City300 Taiwan Kla Corporation Tainan City744 Taiwan Michigan State University Department of Electronic and Computer Engineering East LansingMI48824 United States Shanghai Jiao Tong University School of Mechanical Engineering Department of Industrial Engineering and Management Shanghai200240 China Northeastern University at Qinhuangdao Hebei Key Lab. of Micro-Nano Prec. Optical Sensing and Msrmt. Technol. Sch. of Control Engineering Qinhuangdao066004 China City University of Hong Kong Department of Mechanical Engineering Kowloon Tong Hong Kong City University of Hong Kong Shenzhen Research Institute CASŰCityU Joint Laboratory for Robotics Shenzhen518057 China National Tsing Hua University Department of Power Mechanical Engineering Hsinchu City300 Taiwan

Sports performance is often judged based on the results of a series of motions rather than observing and analyzing the detailed sequential motions that lead to the results. Hence, subjective feedback from the coaches is often ineffective in improving player performance. In this work, we custom-built a smart Internet of Things wristband motion sensor to implement data-based sports performance evaluation. A phase-based feature selection method is also proposed to assess the athletes' sequential detailed motion for selected sport activities. To demonstrate the merits of this technology, we quantified the quality of the sequential motions of a specific type of volleyball serve by analyzing 183 samples of motion data obtained from a total of 18 players. The general skill levels (i.e., elite, subelite, and amateur) of the players were identified by machine learning algorithms, with accuracies of up to 95%. Moreover, we adopted biomechanical principles to extract 11 motion-related performance metrics from various phases of the players' serve motion. We identified the distributions of these metrics across different skill levels and found eight key metrics that were highly correlated to the skill level of a players. We suggest that these metric distributions can be used as a reference for providing feedback to the coaches and players, to improve a player's skill in the future. This phased-based analysis method can potentially be applied across many sports to increase the effectiveness of athletes' training. © 2014 IEEE.

关键词： Internet of things

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Fuzzy dynamic output-feedback control for markov jump fuzzy bilinear system

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ICIC Express Letters, Part B: Applications 2015年第10期6卷 2883-2890页

作者： Chang, Ru Fang, Yiming Liu, Le Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling No. 438 Hebei Ave QinhuangdaoP.R China

Fuzzy dynamic output-feedback control problem is investigated for a class of fuzzy bilinear systems with Markovian jumping parameters. The transition probability matrix is assumed to be partly unknown. Based on Takagi-Sugeno (T-S) fuzzy bilinear model, a nonlinear dynamic output-feedback controller is first constructed, and in terms of linear matrix inequalities techniques, the sufficient conditions on the stochastic stability of the closed-loop fuzzy bilinear jump system are presented and proved. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method. ©, 2015 ICIC Express Letters *** Rights Reserved.

关键词： Fuzzy control

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Frequency dependent network equivalent based electromagnetic and electromechanical decoupled hybrid simulation

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Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical engineering 2012年第16期32卷 107-114页

作者： Zhang, Yi Wu, Wenchuan Zhang, Boming Gole, Aniruddha M. State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Department of Electrical and Computer Engineering University of Manitoba Winnipeg R3T 5V6 Canada

Neither electromechanical transient stability analysis (TSA) program nor electromagnetic transient (EMT) programs can be used individually for the transient stability studies of the large scale AC/DC systems. This paper presented an electromagnetic and electromechanical hybrid simulation system, based on a frequency dependent network equivalent. Firstly, the framework and the main modules of the proposed hybrid simulation system were introduced. Secondly, the methods to calculate the equivalents of the electromagnetic side and the electromechanical side were introduced. The discussion on the difference between the traditional method and frequency dependent network equivalent (FDNE) and the flowchart of the hybrid simulation were also given. In the last part of the paper, AC system and AC-DC hybrid system are both used as examples to demonstrate the accuracy of the proposed hybrid simulation system's simulation results. © 2012 Chinese Society for Electrical engineering.

关键词： Hybrid systems

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Dynamic Privacy-preserving Collab.rative Schemes for Average Computation

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IFAC-PapersOnLine 2020年第2期53卷 2963-2968页

作者： Xin Wang Hideaki Ishii Jianping He Peng Cheng State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Dept. of Computer Science Tokyo Institute of Technology Yokohama 226-8502 Japan Dept. of Automation Shanghai Jiao Tong University Shanghai 200240 China

In this paper, we consider the privacy-preserving problem in collab.rative computing. Based on a two-step average computation framework, we propose three privacy-aware schemes, all of which achieve different levels of privacy protections depending on data servers’ trust degrees. Further, by carefully designing noises injected to the distributed computing process, we obtain dynamic privacy-preserving schemes, whose privacy preserving levels are measured by Kullback-Leibler differential privacy. In addition, we prove that the proposed schemes achieve convergence in different senses. Numerical experiments are finally conducted to verify the obtained privacy properties and convergence guarantees.

关键词： Collab.rative computing dynamic privacy average consensus convergence

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The improved load balance adjustor of multi-motor driving system

The improved load balance adjustor of multi-motor driving sy...

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Chinese control Conference (CCC)

作者： Jing Ming Yang Bo Su Jin Lv Hai Jun Che Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China Tian Jin Design and Research Institute of Electric Drive Tianjin 300180 China

Multi-motor coaxial connected are used to drive large mechanical load motor drive system. Multi-motor driver's main advantage is can reduce the rotational inertia of the load, increase the rapidity of system, but followed by many motor driver control difficulty increase. Based on one tandem mill motor drive as the background, analyzes the series motor drive a rack rolling work mode, aiming at the load problem of this way of driving motor, design a new kind of load balance adjustor. Using load observer to get the actual load as the load balance adjustor's input, the new control method of quadratic performance indicators single neuron adaptive PID, and joined the feed forward compensation to inhibit speed fluctuations. The results show that, this method can substantially ensure the roll motor load balance, while having a good control effect.

关键词： Observers Neurons Motor drives MATlab Design methodology Channel hot electron injection Digital control

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SliceProp: A Slice-Wise Bidirectional Propagation Model for Interactive 3D Medical Image Segmentation 1

SliceProp: A Slice-Wise Bidirectional Propagation Model for ...

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1st IEEE International Conference on Medical Artificial Intelligence, MedAI 2023

作者： Xu, Xin Lu, Wenjing Lei, Jiahao Qiu, Peng Shen, Hong-Bin Yang, Yang Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Department of Vascular Surgery China Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

ISBN: (纸本)9798350358780

Interactive medical image segmentation methods have become increasingly popular in recent years. These methods combine manual lab.ling and automatic segmentation, reducing the workload of annotation while maintaining high accuracy. However, most current interactive segmentation frameworks are limited to 2D image data, and are not suitable for 3D image data due to the large size and high complexity of 3D data, as well as the challenges posed by information asymmetry and sparse annotation. In this paper, we propose SliceProp, an interactive segmentation framework that implements slice-wise lab.l Bidirectional Propagation (LBP) for 3D medical image segmentation. SliceProp extends the interactive 2D image segmentation algorithm to 3D image segmentation, and can handle 3D data with large size and high complexity. Moreover, equipped with a Backtracking Feedback Check (BFC) module, SliceProp effectively addresses the issues of information asymmetry and spatial sparse annotation in 3D medical image segmentation. Additionally, we adopt an uncertainty-based criterion to pri-oritize the slices to be refined interactively, which enhances the efficiency of the interaction process by enabling the model to focus on the regions with the most unreliable predictions. SliceProp is evaluated on two datasets and achieves promising results compared to state-of-the-art methods. © 2023 IEEE.

关键词： Medical imaging

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Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

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15th Annual Conference on Advances in Autonomous Robotics Systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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Optimization of rolling schedules based on improved artificial fish swarm algorithm for aluminum strip hot rolling mills

Optimization of rolling schedules based on improved artifici...

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Chinese control Conference (CCC)

作者： Jing-ming Yang Shuang Xu Haijun Che Zhiwei Zhao National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Hebei Qinhuangdao 066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

The quality and yield of the products in the process of hot rolling is affected seriously by slipping phenomenon. In order to solve the phenomenon in aluminum hot rolling, on the basis of considering various factors which lead to slip, the concept of hot rolling slip factor is proposed, and a multi-objective function with equal power margin and preventing the slip phenomenon is established, and the improved artificial fish swarm algorithm is applied to optimize the reduction of first three stands. Adaptive step and improved move strategy are introduced into the proposed algorithm on the basis of basic fish swarm algorithm, which has better accuracy of optimization and faster convergence speed. The optimized schedule is applied to roll aluminum of 1050 in one hot rolling mill, and the performance is satisfied.

关键词： Marine animals Electronic mail Aluminum Optimization Schedules Strips Educational institutions

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Discrete-time sliding mode control for a class of stochastic system

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ICIC Express Letters 2013年第7期7卷 2087-2092页

作者： Chang, Ru Fang, Yiming Liu, Le Li, Jianxiong Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University No. 438 Hebei Street Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Hebei Street Qinhuangdao 066004 China

This paper is concerned with the discrete-time sliding mode control (SMC) problem for a class of stochastic system. A sufficient condition is presented to ensure the mean-square asymptotic stability of the stochastic system in the sliding mode by solving a linear objective function. Moreover, a power function is introduced to design a novel discrete sliding mode controller. The controller can guarantee the good dynamic quality of the stochastic system, and can ensure the reachability of the discrete-time sliding motion. Finally, a numerical example is given to illustrate the validity of the proposed SMC scheme. © 2013 ICIC International.

关键词： Stochastic systems

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