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IEEE International Workshop on Applied Measurements for Power Systems (AMPS)

作者： Lafras Lamont Johan Rens Jan de Kock Department of Applied Electronics Tokyo University of Science Tokyo Japan School of Data and Computer Science Sun Yat-sen University Guangzhou China Key Lab. of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China

Predictive pole-slip protection is not implemented in commercially available protection relays. All pole-slip protection relays on the market will only trip a generator after it has pole-slipped one or more times. A predictive pole-slip protection algorithm was developed that can trip a generator before a pole-slip occurs. The Predictive Pole-Slip algorithm was tested on a Real Time Digital Simulator. This paper explains the testing setup as well as the scenarios tested. The feasibility of predictive pole-slip protection algorithm in a practical application is also discussed.

关键词： Generators Circuit faults Prediction algorithms Transient analysis Relays Power system stability

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Self-adaptive Control Strategy for Exoskeleton to Help Paraplegic Patients Stand Up and Sit Down

Self-adaptive Control Strategy for Exoskeleton to Help Parap...

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第35届中国控制会议

作者： Can Wu Ting Zhang Yongqiang Liao Can Wang Guizhong Wu Xinyu Wu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences School of Electro-mechanical Engineering Guangdong University of Technology Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences

ISBN: (纸本)9781509009107

This paper presents a practical control strategy used on lower limb exoskeleton to help paraplegic patients to stand up and sit *** can make the process more comfortable and stable no matter the crutches are pressed heavy or *** is particularly efficient to the robots without drivable ankle joints such SIAT *** space was configured to ensure that the real time-generated trajectory won't break the balance of human-robot *** speed of each joint adjusts to the pressure under the crutches so as to relieve the impact from *** result of experiments shows that the self-adaptive control strategy can not only ensure the stability and fitness,but also form an incentive- "more effort paid,more time saved".

关键词： Exoskeleton Stable space Self-adaptive control Standing up process

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Rehabilitation with lower limb exoskeleton robot joint load adaptive server control

Rehabilitation with lower limb exoskeleton robot joint load ...

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International Conference on Information and Automation (ICIA)

作者： Shaomin Zhang Can Wang Ying Hu Duxin Liu Ting Zhang Xinyu Wu Key Laboratory of Human-Machine-Intelligence Synergic Systems Chinese Academy ot Sciences Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Robotics and Intelligent System Chinese Academy of Sciences Department of Mechanical and Automation The Chinese University of Hong Kong

ISBN: (纸本)9781509041039

In order to help spinal cord injury (SCI) patients to walk again, a medical robot exoskeleton have been developed to assist these patients to walk independently in SIAT, Shenzhen. The research of this article is exoskeleton robot single joint load adaptive servo control. Considering the volunteers, wearing an exoskeleton robot, joints have significant changes in load torque and the moment of inertia, so driving joints was designed based on fuzzy control. Load adaptive servo controller makes the robot in rows, counter rotating torque moment of inertia of change and change has a better adaptability, and improves the smoothness of joint movement. This method was tested and the test on SIAT exoskeletons, verify the feasibility of joint adaptive control algorithm.

关键词： Servomotors Legged locomotion Exoskeletons Torque DC motors

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A Human Motion Prediction Algorithm Based on HSMM for SIAT's Exoskeleton

A Human Motion Prediction Algorithm Based on HSMM for SIAT's...

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第35届中国控制会议

作者： Min Wang Xinyu Wu Du-Xin Liu Can Wang Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Department of Mechanical and Automation The Chinese University of Hong Kong

ISBN: (纸本)9781509009107

Getting the exoskeleton pilot's motion intent is very important for exoskeleton *** this paper,a new approach to predict human motion is *** prediction method is based on Hidden Semi-Markov *** orientation of the pilot's segment is collected by the Inertial Measurement *** Adaptive Boosting algorithm is adopted to classify the orientation data into *** sequence of motion labels is inputted into Hidden Semi-Markov Models for motion *** experimental data validate the proposed method.

关键词： Adaptive Boosting Hidden Semi-Markov Model Human Motion Prediction Exoskeleton

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A novel genetic algorithm for constructing uniform test forms of cognitive diagnostic models

A novel genetic algorithm for constructing uniform test form...

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Congress on Evolutionary Computation

作者： Ye-shi Jiang Ying Lin Jing-Jing Li Zheng-jia Dai Jun Zhang Xinglin Zhang Ministry of Education Key Laboratory of Machine Intelligence - & Sensor Networks P.R. China School of Data & Computer Science Sun Yat-sen University School of Computer Science South China Normal University Department of Psychology Sun Yat-sen University State Key Laboratory of Mathematical Engineering and Advanced Computing School of Comouter Science & Engineering South China University of Technology

Cognitive diagnostic models (CDMs) are a new class of test models developed for educational assessment. They have gained growing attention in recent years for their distinctive ability to provide detailed feedback about examinees' ability. Automatic test assembly (ATA), as in other test models, has been one of the most critical issues in the development and applications of CDMs. However, developing ATA methods for CDMs is especially challenging because no close-form expressions can measure the quality of a test form based on the items used. Although some heuristic methods have been proposed for building a single test form of CDMs, few ATA methods can construct uniform test forms of CDMs, in which each test form contains a different set of items but meets equivalent demand of test quality. In order to fill the gap, this paper proposes a novel genetic algorithm (GA) for constructing uniform test forms of CDMs. The effectiveness and efficiency of the proposed method is validated on a synthetic item pool under different conditions.

关键词： Genetic algorithms Error analysis Biological cells Computational modeling Sociology Statistics Computer science

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社交媒体的理论——哲学视角

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Engineering 2018年第1期4卷 205-225页

作者：齐佳音 Emmanuel Monod 方滨兴邓士昌 School of Management Shanghai University of International Business and Economics Institute of Artificial Intelligence and Change Management Shanghai University of International Business and Economics Key Laboratory of Trustworthy Distributed Computing and Service of Ministry of Education Beijing University of Posts and Telecommunications Institute of Cyberspace Advanced Technology Guangzhou University China Electronics Corporation

虽然已经有不少理论应用于信息系统(information system,IS)领域的社交媒体研究,但是从哲学角度系统探讨社交媒体理论基础的研究还是比较少的。本文以人与世界的关系以及人与他人的关系两个维度构建了分析社交网络用户行为的哲学理论框... 详细信息

虽然已经有不少理论应用于信息系统(information system,IS)领域的社交媒体研究,但是从哲学角度系统探讨社交媒体理论基础的研究还是比较少的。本文以人与世界的关系以及人与他人的关系两个维度构建了分析社交网络用户行为的哲学理论框架。人与世界的关系维度是以笛卡尔的理性理论和海德格尔的历史性理论为基础的;人与他人的关系维度是以工具主义和"此在"思想为基础的。这个哲学框架可以帮助我们比较社交媒体研究中的几个本原理论:戈夫曼的自我呈现理论、布迪厄的社会资本理论、萨特的存在投射理论和海德格尔的"此在"理论。本文通过"人与世界的关系-人与他人的关系"这个哲学框架,来解析这四种理论在理解社交媒体用户行为方面的效能。与此同时,研究将这四种理论的效能与IS研究中的已有的实证研究相比较,发现虽然有些解读与实证研究的结果相匹配,但是还有一些解读尚未被实证研究,这应该是未来研究的方向。

关键词：社交媒体生活世界对他人的考虑理性历史性工具主义 “此在” 自我呈现

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Orthodontic force simulation of Tooth-PDL-Bone Complex under archwire loading

Orthodontic force simulation of Tooth-PDL-Bone Complex under...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Xinwen Zhou Zeyang Xia Yangzhou Gan Dongxia Zhang Jing Xiong Peng Fang Guanglin Li Qunfei Zhao Department of Automation Shanghai Jiao Tong University Shanghai China Shenzhen Institutes of Advanced Technology Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China Harbin Institute of Technology Shenzhen Graduate School Shenzhen China

ISBN: (纸本)9781457702198

Orthodontic force simulation is very important for the guidance of clinical orthodontic treatment. Previous works were mainly conducted by directly loading the force on a single or a few teeth. However, in clinic, the orthodontic force is provided by loading orthodontic appliances, and there currently is no appropriate way to measure the force on the teeth provided by the loaded appliances. This study presents a method to simulate the orthodontic force of a whole Tooth-Periodontal Ligament-Bone Complex (TPBC) by directly loading the archwire to the dentition applying the finite element method. A 3D TPBC model was reconstructed from CT images, and models of brackets and the archwire were also built. The loading procedure of the archwire was implemented by simulating the deformation and displacement of the archwire before and after the loading, and the stress of the archwire induced by the deformation and displacement was obtained. Then, the stress was applied to the brackets, and the corresponding orthodontic force of the TPBC was simulated. By applying the method, archwire designed according to the planned dentition shape was loaded successfully to the original dentition, and the orthodontic force of the TPBC was obtained.

关键词： Force Teeth Load modeling Loading Solid modeling Stress Strain

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Investigation of tibialis anterior muscle activation patterns during walking on different terrains

Investigation of tibialis anterior muscle activation pattern...

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2015 IET International Conference on Biomedical Image and Signal Processing, ICBISP 2015

作者： Zhou, Hui Wang, Yingying Ji, Ning Zhang, Haoshi Wang, Hui Chen, Shixiong Li, Guanglin Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong518005 China

ISBN: (纸本)9781785610448

Trapezoidal stimulation profile has been used for many years in clinical applications to activate the weak tibialis anterior muscle during gait for correcting foot drop. However, this stimulation profile could not well adapt to the different types of terrain, such as level ground, upstairs and downstairs. Thus an environment aware and adaptive stimulation mode would be needed to help drop foot patients walk normally in various environments. As a part of this new stimulation system, tibialis anterior (TA) muscle activation pattern during different locomotion modes were investigated in this study. Foot pressure signals from four force sensitive resistor (FSR) and TA muscle electromyogram (EMG) signal were recorded during gait from five normal subjects. Then the averaged TA muscle activation patterns for level ground, upstairs and downstairs were calculated from the EMG signals in the study, respectively. The results of the study could provide some helpful suggestions on how to design a suitable stimulation envelope for walking over different terrains.

关键词： Muscle

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Deadline constrained cloud computing resources scheduling for cost optimization based on dynamic objective genetic algorithm

Deadline constrained cloud computing resources scheduling fo...

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IEEE Congress on Evolutionary Computation, CEC 2015

作者： Chen, Zong-Gan Du, Ke-Jing Zhan, Zhi-Hui Zhang, Jun Department of Computer Science Sun Yat-Sen University Guangzhou510275 China School of Advanced Computing Sun Yat-Sen University Guangzhou510275 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Engineering Research Center of Supercomputing Engineering Software Ministry of Education China Key Laboratory of Software Technology Department of Guangdong Province China

ISBN: (纸本)9781479974924

Cloud computing resources scheduling is significant for executing the workflows in cloud platform because it relates to both the execution time and execution cost. In order to take both the time and cost into consideration, Rodriguez and Buyya have proposed a cost-minimization and deadline-constrained workflow scheduling model on cloud computing. Their model has great applicability but the solution of their particle swarm optimization (PSO) approach is not good enough and cannot meet a tight deadline condition. In this paper, we propose a genetic algorithm (GA) approach to solve this model. In order to tackle with the tight deadline condition, a dynamic objective strategy is further proposed to let GA focus on optimize the execution time objective to meet the deadline constraint when the feasible solution hasn't been obtained. After obtaining a feasible solution, the GA focuses on optimizing the execution cost within the deadline constraint. Therefore, the proposed dynamic objective GA (DOGA) has adaptive ability to the search environment to different objectives. We have conduct extensive experiments based on workflows with different scales and different cloud resources. Experimental results show that DOGA can find better solution with smaller cost than PSO does on different scheduling scales and different deadline conditions. DOGA approach is more applicable to be used in commercial activities. © 2015 IEEE.

关键词： Genetic algorithms

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A dimension-decreasing particle swarm optimization method for portfolio optimization 15

A dimension-decreasing particle swarm optimization method fo...

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17th Genetic and Evolutionary Computation Conference, GECCO 2015

作者： Wang, Jia-Bin Chen, Wei-Neng Zhang, Jun Lin, Ying School of Advanced Computing Sun Yat-sen University Guangzhou China Key Lab. Machine Intelligence and Advanced Computing Ministry of Education China Collaborative Innovation Center of High Performance Computing China Engineering Research Center of Supercomputing Engineering Software Ministry of Education China Department of Psychology Sun Yat-sen University Guangzhou China

ISBN: (纸本)9781450334884

Portfolio optimization problems are challenging as they contain different kinds of constrains and their complexity becomes very high when the number of assets grows. In this paper, we develop a dimension-decreasing particle swarm optimization (DDPSO) for solving multi-constrained portfolio optimization problems. DDPSO improves the efficiency of PSO for solving portfolio optimization problems with a lot of asset and it can easily handle the cardinality constraint in portfolio optimization. To improve search diversity, the dimension-decreasing method is coupled with the comprehensive learning particle swarm optimization (CLPSO) algorithm. The proposed method is tested on benchmark problems from the OR library. Experimental results show that the proposed algorithm performs well. Copyright is held by the owner/author(s).

关键词： Particle swarm optimization (PSO)

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