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International Workshop on Intelligent Systems and Applications, ISA

作者： Yulin Zhang Zhuqing Jiao Department of Electric Information Engineering Huaiyin Institute of Technology Huaian China School of Communication and Control Engineering Jiangnan University Wuxi China

Based on analyzing the structure characteristics of a multivariable grey model, a novel design method of grey prediction PID control is proposed according to the control requirements of a discrete system. Combining the grey system theory with digital PID control, a grey model GM (0, N) of the discrete system is constructed and in the initial stage the control effect is directly determined by a digital PID controller. Meanwhile, the parameters of the GM (0, N) model are estimated via generating operation. Then the compensation controller is employed to eliminate the influence of uncertain parts on system performance by utilizing the prediction control variable due to parameter estimation. Finally, a simulation experiment for the control system is taken on Matlab. Simulation results demonstrate the effectiveness and the practicability of this control method for a discrete system.

关键词： Three-term control control systems Mathematical model communication system control Predictive models Digital control control system synthesis Design methodology Process control System performance

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Modified Particle Filter for Object Tracking in Low Frame Rate Video

Modified Particle Filter for Object Tracking in Low Frame Ra...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Tao Zhang Shumin Fei Hong Lu Xiaodong Li the Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationInstitute of AutomationSoutheast University the Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Institute of AutomationSoutheast University School of Automation Nanjing Institute of Technology

Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,Particle filtering use motion transitions to model the movement of the ***,in object tracking with low frame rate sequences,it is very difficult to model significant random jumps of *** key notion of our solution is that using the object detection and extraction to locate the tracked object,while not using the dynamical *** propagate the sample set around the detected regions,which the samples are assumed to be uniformly distributed in the neighborhoods of the detected *** is similar to the general particle filter to propagate *** we compute the likelihood between the target model and the candidate regions,which are based on color histogram *** extensive experiments show that the proposed algorithm performs robustly in a large variety of tracking scenarios.

关键词： frame filter Modified Particle Filter for Object Tracking in Low Frame Rate Video Object Filter

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New delay-dependent stability criteria for linear stochastic systems with time-varying delay

New delay-dependent stability criteria for linear stochastic...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Jianjiang Yu Kanjian Zhang Shumin Fei the Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Information Science and Technology Yancheng Teachers University the School of Automation Southeast University

In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in the new LyapunovKrasovskii functional, the delay-dependent sufficient criterion is derived in terms of linear matrix inequalities(LMIs). Neither model transformations nor bounding techniques for cross terms is employed, so the derived criterion is less conservative than the most existing results. Meanwhile, the computational complexity of the obtained stability conditions is reduced because less variables are involved. A numerical example is given to show the application of the proposed method.

关键词： New delay-dependent stability criteria for linear stochastic systems with time-varying delay

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Enhanced cognitive resource management for QoS-guaranteed service provisioning in home/office network

Enhanced cognitive resource management for QoS-guaranteed se...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： Shahnaza Tursunova Son Tran Trong Bong-Kyun Lee Eun-Young Cho You-Hyeon Jeong Young-Tak Kim Department of Information and Communication Engineering Graduate School Korea Network Control Technology Research Team ETRI Yeungnam University South Korea

ISBN: (纸本)9781424434862

In this paper, we propose an enhanced cognitive resource management for QoS-aware service provisioning in wired and wireless home/office network. We enhance QoS-aware customer network management (Q-CNM) system. The Q-CNM controls overall management process in home/office network, gathers network information, and processes incoming requests through QoS-aware resource allocation with connection admission control (CAC) function. Especially the cognitive management process at the Q-CNM provides load redistribution, optimized resource utilization for QoS-guaranteed differentiated service provisioning based on obtained knowledge about network. The detailed analysis of QoS-aware resource allocation and cognitive management process at the Q-CNM are explained. The network performance and QoS parameters are analyzed based on experimental implementation of the proposed management scheme in a real testbed environment and ns-2 network simulator.

关键词： Resource management Wireless LAN Performance analysis Testing Analytical models Ethernet networks Quality of service Intelligent networks Admission control Multimedia systems

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Ground water level measurements using a segmented resistance sensor

Ground water level measurements using a segmented resistance...

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IEEE Instrumentation and measurement technology Conference

作者： Xianhua Yao Ying-mei Zhang Lin Gao Wuliang Yin Juan Yang Chao Wang The Institute of Measurement and Control Technology University of Technology Taiyuan Shanxi China School of Electrical Engineering and Automation Tianjin University TJU Shanxi China School of Environment and Development University of Manchester Institute of Science and Technology UK

Ground water level measurements are very important for a wide range of applications in geosciences, agriculture, environment monitoring and mining industry. Currently, reliable and automatic ground water level measurements have not been realized. This paper presents the simulation and design of a segmented resistance sensor for measuring ground water level. Based on this sensor design, we have developed an instrument that can automatically log the ground water level. Finite element simulations were performed to optimize the sensor design and to gain insight into its response. Experimental results in the lab and field have verified the usefulness of the sensor.

关键词： Level measurement Geology Agriculture Monitoring Mining industry Electrical resistance measurement Instruments Finite element methods Design optimization Performance gain

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A fast motion estimation algorithm based on Diamond and Hexagon Search patterns

A fast motion estimation algorithm based on Diamond and Hexa...

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Joint Conferences on Pervasive Computing (JCPC)

作者： Yun Cheng Lin Yang Zhiwen Fang Hailiang Hou Ganxin Chen School of Information Science and Engineering Central South University Changsha China Department of Communication and Control Engineering Hunan Institute of Humanities Science and Technology Loudi China

ISBN: (纸本)9781424452279;9781424452286

Based on the directional characteristic of SAD (Sum of Absolute Difference) distribution and the center-biased characteristic of motion vectors, a fast BMA(block-matching motion estimation algorithm), DHS (Diamond and Hexagon Search), is proposed in this paper. DHS employs HP to locate the best matching block with large motion vector, and diamond search pattern (DP) to refine the motion vector. Although the proposed DHS may also be trapped in local minima, the experimental results show that it is faster than UMHexagonS (Unsymmetrical-cross multi-hexagon-grid Search), while its encoding efficiency is better than DS and it is almost the same as that of UMHexagonS.

关键词： Motion estimation Pattern matching Encoding control engineering Automatic voltage control Testing Electrostatic discharge Spread spectrum communication Video sequences Shape

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Study on flue gas turbine fault diagnosis technology based on EMD and VPRS

Study on flue gas turbine fault diagnosis technology based o...

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International Conference on Reliability, Maintainability and Safety,ICRMS

作者： Hongjun Wang Hongfeng Wang School of Mechanical & Electronic Engineering Key Laboratory of Modern Measurement & Control Technology S and T University Beijing China Yantai State Economic Technology Development Zone Yantai China

A novel intelligent fault diagnosis model for flue gas turbine based on EMD (Empirical mode decomposition) and VPRS (Variable precision rough set) theories, is proposed in order to solve the difficult problems of knowledge information acquisition and improve fault diagnosis accuracy in practice. This model combines EMD and VPRS techniques. First EMD signal processing technique is employed to excavate the underlying fault information from dynamic signals. The features that reflect the equipment operation conditions from the EMD analysis of the dynamic original vibration signals are extracted and the series of IMFs (intrinsic mode function) feature sets are obtained. Then the energy features of the calculated IMFs are using as the condition attributes of the knowledge acquisition decision table while the fault modes are using as the decision attributes respectively. The decision table is deal with through the attributes' reduction, attributes' value reduction and the rules' reduction based on VPRS theory. The system fault diagnosis rules are extracted on the condition that the model classification ability remains and the redundancy information is removed. The model is applied for the flue gas turbine diagnosis knowledge acquisition and fault diagnosis in Yanshan. The desired diagnosis effect is obtained via the fault diagnosis model based on EMD and VPRS. Moreover, the application result also validates the power and the practice of the model.

关键词： Flue gases Turbines Fault diagnosis Signal processing Knowledge acquisition Power system modeling Signal analysis Data mining Feature extraction Educational technology

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Nonlinear predictive control based on online support vector machine

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Journal of Computational Information Systems 2009年第4期5卷 1165-1170页

作者： Du, Zhiyong Wang, Xianfang Henan Mechanical and Electrical Engineering College Henan Xinxiang 453002 China Henan Institute of Science and Technology Xinxiang 453003 China School of Communication and Control Engineering Jiangnan University Wuxi 214122 China

It is difficult to build an accurate model using the traditional predictive control algorithm for a nonlinear system. Because of the nonlinearity, time variation, the control quality is not ideal. A nonlinear predictive control algorithm based on online support vector machines model was proposed. The nonlinear model of the nonlinear system was obtained by online support vector machine to train a sequence data of input and output, and we can improve the system model accuracy online. The simulation results illustrate that the nonlinear predictive control using online SVM is effective. © 2009 Binary Information Press August, 2009.

关键词： Nonlinear systems

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Implementation and Evaluation of a Ubiquitous Health Monitoring System

Implementation and Evaluation of a Ubiquitous Health Monitor...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Akira Yamazaki Akio Koyama Junpei Arai Leonard Barolli Department of Informatics Graduate School of Science and Engineering Yamagata University Japan Department of Information and Control Engineering Yamagata College of Industry and Technology Japan Department of Information and Communication Engineering Fukuoka Institute of Technology Japan

ISBN: (纸本)9781424435692

In recent years, because of the birthrate declining and the elderly peoplepsilas population growing, the lack of doctors and the increase of the medical cost is becoming a big problem. One of solution for this problem is to prevent the humans from diseases in order to reduce the medical cost (e.g. by using the hospital as few times as possible). In this research, we have developed a wearable vital sensor which can be used anywhere without disrupting the everyday life of the patient. Furthermore, we have implemented a ubiquitous health monitoring system, which can confirm and share the sensor information received from a cellular phone attached to the wearable vital sensor immediately through the browser. This system can also send emergency report based on sensor information to the family and the doctor. In addition, we verified the system effectiveness by evaluating the implemented system.

关键词： Biomedical monitoring Wearable sensors Sensor systems Costs Senior citizens Humans Diseases Hospitals Patient monitoring Cellular phones

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Feature extraction of electroencephalogram of photic evoked spikes with slow burst and its automatic detection

Feature extraction of electroencephalogram of photic evoked ...

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ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009

作者： Nishida, Shigeto Sugi, Takenao Ikeda, Akio Nagamine, Takashi Shibasaki, Hiroshi Nakamura, Masatoshi Department of Computer and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Neurology Kyoto University School of Medicine Kyoto Japan Department of System Neuroscience Sapporo Medical University Sapporo Japan Takeda General Hospital Kyoto Japan Department of Advanced Systems Control Engineering Saga University Saga Japan

ISBN: (纸本)9784907764333

A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the time domain. The slow burst was detected by using pole of AR model in the frequency domain. The proposed method was applied for the photic evoked EEG data containing spikes and slow burst, and brought satisfactory coincidence with the results interpreted by a qualified electroencephalographer. © 2009 SICE.

关键词： Electroencephalography

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