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2nd IEEE/ASME International Conference on Mechatronic and Embedded systems and Applications, MESA 2006

作者： Tao, Huang Yunfei, Zhou Ming, Zhong National Numerical Control System Engineering Research Center Huazhong University of Science and Technology 430074 China National Numerical Control System Engineering Research Center Huazhong University of Science and Technology 430074 China School of Information Engineering Wuhan University of Technology 430070 China

ISBN: (纸本)0780397215

Aimed for the real-time requirement of Ethernet in embedded system, an Agent-based system was presented. There were one managing node and a lot of control nodes in this new system. In order to reduce the real-time decline resulting from channel conflict, every control node was assigned a default priority and the control nodes with the same priority formed a group. Every control node communicated with each other and managing node based on the priority groups they belonged to. Master Agent in managing node received different status data from every Sub Agent in the control nodes in different cycles. A dynamic adjustment model was set up in Master Agent. The status data gathered from control nodes were counted as inputs of the model;thus, through the model, the priorities of these control nodes could have dynamic adjustments. Network communication distributed channel resources by way of dynamic priorities, ensuring not only that there was less communication conflict among nodes at a certain moment, but also that adaptive adjustments of priorities could be achieved to improve transmission efficiency. The analysis and the simulation results demonstrate the method is correct and efficient.

关键词： Embedded systems

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Annual business and news:: Beginning the 31st year of the Journal of Guidance, control, and Dynamics

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JOURNAL OF GUIDANCE control AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

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An Indoor Localization Algorithm for Lighting control using RFID

An Indoor Localization Algorithm for Lighting Control using ...

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IEEE Energy 2030 Conference, ENERGY

作者： Zi-Ning Zhen Qing-Shan Jia Chen Song Xiaohong Guan Department of Automation Tsinghua University Beijing China Center for Intelligent and Networked Systems (CFINS) Tsinghua National Laboratory for Information Science and Technology Department of Automation Tsinghua University Beijing China United Technologies Research Center China and the Tsinghua-UTC Research Institute for Integrated Building Energy Safety and Control Systems Beijing 100084 P. R. China (phone: +86-10-62772183 fax: +86-10-62770554 e-mail: songc@***) SKLMS Laboratory and System Engineering Institute Xi''an Jiaotong University Xi'an China

Occupant's identity and location are important information for lighting control in order to reduce the energy consumption while increasing livelihood. While active RFID system provides occupant's identity, it is nontrivial to localize the occupant's location in an indoor environment due to the multipath effect, the changing environment, and the unreliable communication link. In this paper, we implement a system with multiple active RFID readers, and develop a localization algorithm based on support vector machine (SVM). The algorithm uses round-robin comparison to localize the occupant to one of the multiple regions in a floor. The geometric relationship among the rooms and the historical localization data are used to further improve the localization accuracy. numerical results demonstrate a high localization accuracy of this algorithm. We hope this work sheds insight on lighting control for energy saving and an increased livelihood.

关键词： Lighting control Radiofrequency identification Energy consumption Active RFID tags Educational institutions Indoor environments Round robin Support vector machines Humans Safety

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Error measurement and assemble error correction of a 3D-step-gauge

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中国高等学校学术文摘·机械工程 2007年第4期2卷 388-393页

作者： MAO Xinyong LI Bin SHI Hanmin LIU Hongqi LI Xi LI Peigen National CNC Control System Research Center School of Mechanical Science and Engineering Huazhong University of Science & Technology Wuhan 430074 China

A new artifact called 3D-step-gauge consisting of a pyramid array and a compound, is proposed to calculate geometrical errors for machine tools. Only one point on each profile of the pyramid in the array is probed, and its center coordinate can be calculated. Then, the intervals of the pyramids can be transfered a length standard to measure *** the differences in the structural parameters and the location of the pyramids, a volumetric error measurement method of discrete points is presented. Furthermore, the location errors between the calibration state and the measurement state are studied and their influences on the accuracy of the position measurement are investigated on an actual machine tool. The 3D-step-gauge was tested on an actual machine tool and the measurement result shows quick assembly,convenient measurement, and high accuracy.

关键词： CNC machine tools error measurement,measurement instrumentation 3D-step-gauge parametrical calibration

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Development of a real-time wireless embedded brain signal acquisition/processing system and its application on driver's drowsiness estimation

Development of a real-time wireless embedded brain signal ac...

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2006 IEEE International Conference on systems, Man and Cybernetics

作者： Hsieh, Hung-Yi Liang, Sheng-Fu Ko, Li-Wei Lin, May Lin, Chin-Teng IEEE Department of Electrical and Control Engineering National Chiao-Tung University Hsin-Chu Taiwan Brain Research Center University System of Taiwan Taiwan Department of Biological Science and Technology National Chiao-Tung University Hsin-Chu Taiwan

ISBN: (纸本)1424401003

In this paper, a portable real-time wireless embedded brain signal acquisition/processing system is developed. The proposed system integrates electroencephalogram signal amplifier technique, wireless transmission technique, and embedded real-time system. The development strategy of this system contains three parts: First, the Bluetooth protocol is used as a transmission interface and integrated with the bio-signal amplifier to transmit the measured physiological signals wirelessly. Second, the OMAP (Open Multimedia Architecture Platform) is used as a development platform and an embedded operating system for OMAP is also designed. Finally, DSP Gateway is developed as a mechanism to deal with the brain-signal analyzing tasks shared by ARM and DSP. A driver's cognitive-state estimation program has been developed and implemented on the proposed dual core processor-based real time wireless embedded system for demonstration. © 2006 IEEE.

关键词： Signal analysis

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A Study On Iterative Learning control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

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Asian Journal of control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

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A Generalized Acceleration and Deceleration Approach for Continuous Small Line Blocks with Look-ahead

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武汉理工大学学报 2006年第S3期28卷 1052-1058页

作者： LUO Fuyuan~1 ZHOU Yunfei~1 YIN Juan~2 (1.national Technical research center-numerical control system,School of Mechanical Science and engineering,Huazhang University of Science and technology,Wuhan 430074,China, 2.School of Machinery and Automobile engineering,Hefei University of technology,Hefei 234009,China) National Technical Research Center-Numerical Control System School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China School of Machinery and Automobile Engineering Hefei University of TechnologyHefei 234009China

Generally complex 3D contours are divided into a lot of continuous small line blocks by CAD/CAM software. When these small line blocks are used in conventional way,machine tool has to stop at the end of one move before continuing on to the next to meet accuracy requirement,which results in ***-ahead is an intelligent function that aims at adjusting the feed rate automatically to achieve maximum productivity while maintaining *** now most researchers just utilize the simplest linear acceleration(ACC)and deceleration(DEC)to deal with look-ahead intelligence.A generalized ACC/DEC ap- proach and corresponding optimal look-ahead algorithm based on dynamic back tracking along a doubly linked list are *** improved rounding strategy for reducing interpolation errors is also *** using the proposed techniques,arbitrary velocity profiles that offer look-ahead feature and have the desired ACC/DEC characteristics for movement of a lot of continuous line blocks can be generated *** simulations and experiments showed the productivity was dramatically increased without sacri- fice of accuracy.

关键词： acceleration and deceleration numerical control back tracking look-ahead interpolation

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Infrared human face auto locating based on SVM and a smart thermal biometrics system

Infrared human face auto locating based on SVM and a smart t...

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ISDA 2006: Sixth International Conference on Intelligent systems Design and Applications

作者： Xiaoyu, Wang Jihong, Chen Pingjiang, Wang Zhihong, Huang National Numeric Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430070 China

ISBN: (纸本)0769525288

The SARS epidemic resulted in the introduction of IR thermal camera for non-voluntary screening on human face for fever symptoms. However, two major problems emerged. One is the temperature measurement precision, which is not adequate enough. The other is the poor automatic ability. This paper analyses the importance and deals with the second automation problem. We discuss the inherent consistency of SVM with the pattern recognition in infrared image. A smart biometrics system that automatically detects human face in infrared video and performs temperature measurement is implemented. The potential for illumination invariant face recognition using thermal IR imagery is fully utilized. This potentiality is approved by the result of infrared human face detection experiment based on C-SVM. © 2006 IEEE.

关键词： Face recognition

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Driver's drowsiness estimation by combining EEG signal analysis and ICA-based fuzzy neural networks

Driver's drowsiness estimation by combining EEG signal analy...

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IEEE International Symposium on Circuits and systems

作者： Lin, Chin-Teng Liang, Sheng-Fu Chen, Yu-Chieh Hsu, Yung-Chi Ko, Li-Wei Brain Research Center University System of Taiwan Taiwan Dept. of Electrical and Control Engineering National Chiao-Tung University Hsinchu Taiwan Dept. of Biological Science and Technology National Chiao-Tung University Hsinchu Taiwan

ISBN: (纸本)9780780393899

The public security has become an important issue in recent years, especially, the safe manipulation and control of vehicles in preventing the growing number of traffic accident fatalities. Accidents caused by drivers' drowsiness have a high fatality rate due to the decline of drivers' abilities in perception, recognition, and vehicle control abilities while sleepy. Preventing such an accident requires a technique for detecting, estimating, and predicting the level of alertness of a driver and a mechanism to maintain the driver's maximum performance of driving. The ICAFNN is a fuzzy neural network (FNN) capable of parameter self-adapting and structure self-constructing to acquire a small number of fuzzy rules for interpreting the embedded knowledge of a system from the given training data set. Our experiments show that the ICAFNN can achieve significant improvements in the accuracy of drowsiness estimation compared with our previous works.

关键词： Electroencephalography

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Adaptive real-time networks design and simulation based on IC wedge-bonding control system

Adaptive real-time networks design and simulation based on I...

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2006 International technology and Innovation Conference (ITIC 2006)

作者： Tao Huang Ming Zhong YunFei Zhou National Numerical Control System Engineering Research Center Huazhong University of Science & Technology Wuhan 430074 China School of information engineering Wuhan University of Technology 430070 China

Aimed at the real-time requirement of the Ethernet in the IC wedge-bonding control system, a communication system with a neural-network-based adjustment module was presented. This new system consisted of a managing node and many control nodes. In order to reduce the real-time decline resulting from channel conflict, every control node was assigned a default priority and the control nodes with the same priority fell into one group. control nodes communicated among themselves and with the managing node based on the priority groups they belonged to. An adjustment module based on the continuous Hopfield neural network (CHNN) was employed in the managing node. The status data gathered from the control nodes were counted as inputs of the module; thus, through the self-learning function of the module, the priorities of these control nodes could have dynamic adjustments. The adjustment module distributed channel resources by way of dynamic priorities, ensuring not only that there was less communication conflict among nodes at a certain moment, but also that adaptive adjustments of priorities could be achieved to improve transmission efficiency. The analysis and the simulation results demonstrate that the method is correct and efficient.

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