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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2015年 8971卷 243-252页

作者： Jiang, Yunliang Yang, Jiangang Tang, Liang Liu, Yong Zhao, Xiaoming Hao, Xiulan School of Information Engineering Huzhou University Huzhou313000 China National Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China School of Computer Science Hangzhou Dianzi University Hangzhou310018 China China Ship Development and Design Center Wuhan430064 China School of Mathematics and Information Engineering Taizhou University Linhai317000 China

Because of the popularity of mobile phone and the development of mobile network, mobile data is growing explosively. Mobile data mining is more and more of attention. But single node-based data mining platform has been unable to store and analysis the massive data. According to cloud computing technology, we preset a distributed data mining framework based on Hadoop. Then, we present the implementation of this system framework and process mobile internet access log on the Hadoop cluster. Comparative tests will show that this distributed system framework is significantly efficient for processing huge scale dataset. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Cloud computing

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Design, fabrication, experimental study, and test electrochemical detector with EWOD for chemical analysis 15

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15th International Conference on Biomedical Engineering, ICBME 2013

作者： Ugsornrat, Kessararat Maturos, T. Pogfai, T. Tuantranont, Adisorn Department of Industrial Physics and Medical Instrumentation King Mungkut’s University of Technology North Bangkok Bangkok Thailand Nanoelectronics and MEMS Laboratory National Electronics and Computer Technology Center Pathumthani Thailand

ISBN: (纸本)9783319029122

In this research, an electrochemical detector with electrowetting on dielectric (EWOD) digital microfluidic biochip is designed, fabricated, and experimental studied for chemical analysis. For the design, the microchip consists of T-junction EWOD microchip for merging buffer reagent and analyte droplets and three internal electrochemical detectors at the end of T-junction. Three electrodes consist of Au working, Au reference, and Au auxiliary for rapid chemical analysis with minimal reagent consumption. In experiment, the electrochemical with EWOD microchip is fabricated by thin film deposition and tested to study possibility of moving (merging and transporting) droplet on the microchip by digital operation. © Springer International Publishing Switzerland 2014.

关键词： Fabrication

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Energy based set point modulation for obstacle avoidance in haptic teleoperation of aerial robots 19

Energy based set point modulation for obstacle avoidance in ...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Hou, Xiaolei Yu, Changbin Liang, Feng Lin, Zhiyun Shandong Computer Science Center Jinan250014 China Australian National University CanberraACT0200 Australia College of Electrical Engineering State Key Laboratory of Industrial Control Technology ZheJiang University Hangzhou310027 China

ISBN: (纸本)9783902823625

This paper presents a novel obstacle avoidance approach that is capable of dealing with both static and dynamic obstacles in the environment with guaranteed collision-free navigation for haptic teleoperation of VTOL aerial robots. The proposed approach modulates the set point for the vehicle's controller based on the user input energy, estimated potential energy and vehicle's kinetic energy. By shuffling the potential and kinetic energy, vehicle's velocity is regulated according to the permissible kinetic energy and thus obstacle avoidance is achieved. With careful design of the potential field, this approach offers a guaranteed collision-free navigation with the presence of both stationary and moving obstacles. Incorporating the novel approach with the Dynamic Kinesthetic Boundary, the human operator can better perceive the environment where the robot is deployed through the rich spatial haptic cues rather than an onset gradual single force vector. Analysis is provided and proves that in the case of perfect velocity tracking of the slave system, the proposed algorithm can guarantee a collision-free navigation through the environment. Simulations and experiments were conducted, and the results provide verification of the effectiveness of the proposed approach in obstacle and collision avoidance for haptic teleoperation of aerial robots. © IFAC.

关键词： Robots

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Variable walking speed controller of MR damper prosthetic knee using neural network predictive control

Variable walking speed controller of MR damper prosthetic kn...

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SICE Annual Conference

作者： Kittipong Ekkachai Apicit Tantaworrasilp Sirichai Nithi-Uthai Kanokvate Tungpimolrut Itthisek Nilkhamhang Advanced Automation Laboratory (AAS) National Electronics and Computer Technology Center (NECTEC) Thailand School of Information Thammasat University Thailand

Semi-active prosthetic knees utilizing magnetorheological (MR) damper have been introduced to help transfemoral amputees to improve their quality of life. However, they lack the ability to generate power required to achieve the normal gait of healthy people. The aim of this paper is to propose a novel control algorithm for MR damper prosthetic knee, focusing on swing phase of the gait cycle. The proposed controller is developed by using a neural network predictive control optimized using constrained nonlinear optimization. It provides the ability to predict future knee angle trajectory when a certain command voltage is applied in order to determine the optimal command voltage. Moreover, the proposed algorithm is designed to support amputees at walking speeds. Performance of the proposed controller has been evaluated in an offline simulation compared to the normal gait of healthy people. The results show that the proposed controller can generate the knee trajectory with minimal errors.

关键词： Knee Prosthetics Shock absorbers Mathematical model Thigh Torque Predictive control

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ANN-based DTC scheme to improve the dynamic performance of an IM drive

ANN-based DTC scheme to improve the dynamic performance of a...

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7th IET International Conference on Power electronics, Machines and Drives, PEMD 2014

作者： Bouhoune, K. Yazid, K. Boucherit, M.S. Power and Industrial Systems Laboratory Faculty of Electronics and Computer Science University of Science and Technology Houari Boumediene PO Box 32 El Alia Bab Ezzouar 16111 Algiers Algeria Process Control Laboratory Department of Electrical Engineering Polytechnic National School PO Box 182 10 Hassan Badi El-Harrach 16200 Algiers Algeria

ISBN: (纸本)9781849198158

In addition to simplicity, the DTC of the IM allows a good torque control in steady-state and transient operating conditions. However, high torque ripple is produced, which is reflected in speed estimation responses. It also increases acoustical noise and makes the voltage source inverter operated in high and variable switching frequency, requiring a high sampling frequency. In this paper, a simple effective ANN-based DTC of the induction machine is proposed. Neural networks with a simple architecture are designed and implemented in influential points of the direct torque control block of the three phase induction machine in order to improve its dynamic performance while preserving the DTC structure simplicity as much as possible. In particular, this paper proposes to reduce, on the one hand, the torque ripple and commutation frequency. Neural comparators are used to select the appropriate bandwidth for the torque and flux hysteresis controllers. Their aim is to optimize the ripple level in the developed torque and flux. On the other hand, a neural speed controller is designed in order to improve the system ability to respond rapidly to changes in process variables and mitigate the effects of external perturbations. The performance of the proposed control are tested in simulation and highlighted by comparing to the conventional DTC control based on conventional hysteresis comparators and conventional PI speed controller. The obtained results show the feasibility and good performances of the proposed control.

关键词： Neural networks

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Energy Based Set Point Modulation for Obstacle Avoidance In Haptic Teleoperation of Aerial Robots

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IFAC Proceedings Volumes 2014年第3期47卷 11030-11035页

作者： Xiaolei Hou Changbin Yu Feng Liang Zhiyun Lin Shandong Computer Science Center Jinan 250014 China Australian National University Canberra ACT 0200 Australia College of Electrical Engineering and State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

This paper presents a novel obstacle avoidance approach that is capable of dealing with both static and dynamic obstacles in the environment with guaranteed collision-free navigation for haptic teleoperation of VTOL aerial robots. The proposed approach modulates the set point for the vehicle's controller based on the user input energy, estimated potential energy and vehicle's kinetic energy. By shuffling the potential and kinetic energy, vehicle's velocity is regulated according to the permissible kinetic energy and thus obstacle avoidance is achieved. With careful design of the potential field, this approach offers a guaranteed collision-free navigation with the presence of both stationary and moving obstacles. Incorporating the novel approach with the Dynamic Kinesthetic Boundary , the human operator can better perceive the environment where the robot is deployed through the rich spatial haptic cues rather than an onset gradual single force vector. Analysis is provided and proves that in the case of perfect velocity tracking of the slave system, the proposed algorithm can guarantee a collision-free navigation through the environment. Simulations and experiments were conducted, and the results provide verification of the effectiveness of the proposed approach in obstacle and collision avoidance for haptic teleoperation of aerial robots.

关键词： Obstacle avoidance Teleoperation Robotics

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Voltage differential feedback control for three-phase PV inverter based on repetitive control

Voltage differential feedback control for three-phase PV inv...

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IEEE International Symposium on Power electronics for Distributed Generation Systems (PEDG)

作者： Hao Lu Qunjing Wang Quan Chen Guoli Li Cungang Hu Changbao Zheng Guanghui Fang Hao Meng National Engineering Laboratory of Energy-Saving Motor & Control Technology Anhui University China Engineering Research Center of Power Quality Ministry of Educationz Anhui University China Anhui Province Laboratory of Electrical Economize and Safety Anhui University China Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control Anhui University China School of Communication and Control Engineering Jiangnan University China School of Information and Computer Science Anhui Agricultural University China

Voltage differential feedback control system based on repetitive control is proposed in this paper. The scheme, which can improve the dynamic characteristic and steady state performance by Capacitor voltage as outer loop while its differential as inner loop without current sensor, is achieved on a three-phase PV inverter with TMS320F2808. Two different control strategies, traditional and repetitive control , have been applied in three-phase PV inverter platform. The experiment results indicate repetitive control system has a faster dynamic response and a more accurate output regulation than those of traditional one.

关键词： Capacitors Voltage control Inverters control systems Educational institutions Process control Power system dynamics

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Design and development of torque rod bushing testing system

Design and development of torque rod bushing testing system

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SICE Annual Conference

作者： Apicit Tantaworrasilp Wutthiphat Covanich Advanced Automation System Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand

ISBN: (纸本)9781479914951

This paper presents the design and development process of a torque rod bushing testing system which is intended to be used in Part Industry 1999 Company Limited (PMCO1999). PMCO1999 manufactures automotive parts and torque rod bushing is one of the important products of the company. The company would like to improve the quality of the torque rod bushing thus a test process for assessing the quality of the torque rod bushing is required. The company developed an in house solution for the testing problem. However, the test process is time-consuming and labor intensive. Therefore, PMCO1999 asks our research team to improve their testing machine. We developed the first version of the testing machine based on an assumption that once the crack appears on the rubber of the torque rod bushing, the elasticity of the rubber will change abruptly. However, experiment 1 in this paper demonstrates that the assumption is not valid. Therefore, we developed the second version of the testing machine by introducing two more cameras to take photographs of torque rod bushing during test. The photographs are then systematically linked with other test data and the operator can used this linked data to assess the quality of the rubber. The second version testing machine developed by us is now being used at PMCO1999. Furthermore, the company concludes that the developed testing machine reduce the time required to test a torque rod bushing by 50% when compared to the previous method used in the company. This enables PMCO1999 to continue to improve the quality of torque rod bushing produced by the company.

关键词： Torque Testing Rubber Digital control Force Sensors

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ESICM LIVES 2016: part two

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Intensive Care Medicine Experimental 2016年第1期4卷 205-404页

作者： S. Sivakumar F. S. Taccone K. A. Desai C. Lazaridis M. Skarzynski M. Sekhon W. Henderson D. Griesdale L. Chapple A. Deane L. Williams R. Strickland K. Lange D. Heyland M. Chapman M. J. Rowland P. Garry J. Westbrook R. Corkill C. A. Antoniades K. T. Pattinson G. Fatania A. J. Strong R. B. Myers C. M. Jermaine C. S. Robertson C. G. Rusin J. Hofmeijer L. Sondag M. C. Tjepkema-Cloostermans A. Beishuizen F. H. Bosch M. J. A. M. van Putten L. Carteron C. Patet D. Solari M. Oddo M. A. Ali C. Dias R. Almeida A. Vaz-Ferreira J. Silva E. Monteiro A. Cerejo A. P. Rocha A. A. Elsayed A. M. Abougabal B. N. Beshey K. M. Alzahaby S. Pozzebon A. Blandino Ortiz S. Cristallini O. Lheureux A. Brasseur J. L. Vincent J. Creteur M. Hravnak K. Yousef Y. Chang E. Crago R. M. Friedlander S. A. Abdelmonem S. A. Tahon T. A. Helmy H. S. Meligy F. Puig I. Dunn-Siegrist J. Pugin S. Gupta D. Govil S. Srinivasan S. J. Patel J. K. N A. Gupta D. S. Tomar M. Shafi R. Harne D. P. Arora N. Talwar S. Mazumdar E. E. Papakrivou D. Makris E. Manoulakas B. Tsolaki B. Karadodas E. Zakynthinos I. Palacios Garcia A. Diaz Martin V. Sanchez Encinares M. Pachón Ibañez J. Garnacho Montero G. Labrador T. Cebrero Cangueiro V. Poulose J. Koh J. W. Kam H. Yeter A. Kara O. Aktepe A. Topeli I. Tsolakoglou G. Intas P. Stergiannis A. A. Kolaros E. Chalari E. Athanasiadou A. Martika G. Fildisis V. Faivre C. Mengelle B. Favier D. Payen A. Poppe M. S. Winkler E. Mudersbach J. Schreiber M. L. Wruck E. Schwedhelm S. Kluge C. Zöllner T. Tavladaki A. M. Spanaki H. Dimitriou E. Kondili C. Choulaki E. Meleti D. Kafetzopoulos D. Georgopoulos G. Briassoulis A. García-de la Torre M. V. de la Torre-Prados T. Tsvetanova-Spasova P. Nuevo-Ortega C. Rueda-Molina A. Fernández-Porcel E. Camara-Sola L. Salido-Díaz A. García-Alcántara D. E. Meleti B. Suberviola J. Riera L. Rellan M. Sanchez J. C. Robles E. Lopez R. Vicente E. Miñambres M. Santibañez M. Le Guen J. Moore N. Mason M. Windpassinger O. Plattner E. Mascha D. I. Sessler Outcomes Research U. Melia J. Fontanet J. P. van den Berg M. Baylor College of Medicine Neurology/Neurocritical Care Houston USA Erasmus Hospital Intensive Care Medicine Brussels Belgium Centre Hospitalier Régional Orléans Réaimation Médicale Orléans France University of British Columbia Vancouver Canada University of Adelaide Discipline of Acute Care Medicine Adelaide Australia Royal Adelaide Hospital Intensive Care Adelaide Australia Griffith University Menzies Health Institute of Queensland Gold Coast Australia University of Adelaide Discipline of Medicine Adelaide Australia Kingston General Hospital Clinical Evaluation Research Unit Kingston Canada University of Oxford Nuffield Department of Clinical Neurosciences Oxford UK Oxford University Hospitals NHS Foundation Trust Neurosciences Intensive Care Unit Oxford UK King’s College Hospital Department of Neurosurgery London UK King’ College London Institute of Psychiatry Psychology and Neuroscience Department of Clinical Neuroscience London UK Rice University Computer Science Houston USA Baylor College of Medicine Neurosurgery Houston USA Baylor College of Medicine Pediatric Cardiology Houston USA University of Twente Clinical Neurophysiology Enschede Netherlands Rijnstate Hospital Neurology Arnhem Netherlands Medical Spectrum Twente Clinical Neurophysiology Enschede Netherlands Medical Spectrum Twente Intensive Care Enschede Netherlands Rijnstate Hospital Intensive Care Arnhem Netherlands CHUV Department of Intensive Care Medicine Neuroscience Critical Care Research Group Lausanne Switzerland Aga Khan University Hospital Anaesthesiology Karachi Pakistan Centro Hospitalar São João Intensive Care Porto Portugal Faculty of Medicine University of Porto Medicine Porto Portugal Faculdade de Ciências Universidade do Porto Departamento de Matemática Porto Portugal Centro de Matemática Universidade do Porto Porto Portugal The Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine Zaragoza Spain Centro Hospitalar

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A Novel Method for Flatness Pattern Recognition via Least Squares Support Vector Regression

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Journal of Iron and Steel Research International 2012年第3期19卷 25-30页

作者： ZHANG Xiu-ling, ZHANG Shao-yu, TAN Guang-zhong, ZHAO Wen-bao (Key laboratory of industrial computer control Engineering of Hebei Province, national Engineering Research center for Equipment and technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, Hebei, China) Key Laboratory of Industrial Computer Control Engineering of Hebei Province National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University Qinhuangdao 066004 Hebei China

To adapt to the new requirement of the developing flatness control theory and technology, cubic patterns were introduced on the basis of the traditional linear, quadratic and quartic flatness basic patterns. Linear, quadratic, cubic and quartic Legendre orthogonal polynomials were adopted to express the flatness basic patterns. In order to over- come the defects live in the existent recognition methods based on fuzzy, neural network and support vector regres- sion （SVR） theory, a novel flatness pattern recognition method based on least squares support vector regression （LS-SVR） was proposed. On this basis, for the purpose of determining the hyper-parameters of LS-SVR effectively and enhan- cing the recognition accuracy and generalization performance of the model, particle swarm optimization algorithm with leave-one-out （LOO） error as fitness function was adopted. To overcome the disadvantage of high computational complexity of naive cross-validation algorithm, a novel fast cross-validation algorithm was introduced to calculate the LOO error of LDSVR. Results of experiments on flatness data calculated by theory and a 900HC cold-rolling mill practically measured flatness signals demonstrate that the proposed approach can distinguish the types and define the magnitudes of the flatness defects effectively with high accuracy, high speed and strong generalization ability.

关键词： flatness pattern recognition least squares support vector regression cross-validation

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