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Journal of Software 2011年第10期6卷 2082-2089页

作者： Huang, Xiongfeng Zhou, Chunjie Qin, Yuanqing Wang, Ye Yang, Mingyue Key laboratory of ministry of education for image processing and intelligent control Department of control science and engineering Huazhong University of Science and Technology Wuhan Hubei 430074 China

Transient faults are hard to be detected and located due to their unpredictable nature and short duration, and they are the dominant causations of system failures, which makes it necessary to consider transient fault-tolerant design in the development of modern safety-critical industrial system. In this paper an approach based on system theory is proposed to tolerate the transient faults in tunnel construction wireless monitoring and control systems (TCWMCS), in which the effects of transient faults are expressed by dysfunction of interactions among software applications. After analyzing the dysfunctional interactions of the system by the operational process model and educing the causes of dysfunction in the functional control diagram, a safety enhancement way is proposed for the designers, in which effictive safety constraints are set up to tolerate the transient faults. The experiment evaluation indicated that the effects of transient faults could be exposed by the causal factors of dysfunctional interactions and system safety could be enhanced by the enforcement of appropriate constraints. © 2011 ACADEMY PUBLISHER.

关键词： System theory

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P Systems with 2D Picture Grammars

P Systems with 2D Picture Grammars

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Tao Song Xiangxiang Zeng Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China

In formal language theory of two-dimensions, 2D picture grammars are powerful tools to generate picture languages. In this work, we incorporate the idea of membrane systems (also called P systems) into 2D picture grammars, thus introducing a new kind of picture language generating devices, named P systems with 2D picture grammars. Inspired by the structure and functioning of living cells, such a system has a hierarchical membrane structure, symbol array objects and evolution rules of 2D picture grammars. In each region delimited by the membrane structure, array objects can evolve in a parallel manner according to evolution rules present in the region, like the way biochemical objects evolve in living cells or organisms. The computational result of P system with 2D picture grammars is the set of pictures (rectangular arrays) present in a specific output membrane when the system halts. We obtain several comparison results, which show that with the membrane structure, the generating power of Siromoney matrix grammar, 2D context-free grammar and basic puzzle grammar can be enlarged.

关键词： Grammar Arrays Biomembranes Power line communications Production Context Silicon compounds

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An Improved Non-local Means Filter for image Denoising

An Improved Non-local Means Filter for Image Denoising

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International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Yi Zhan Mingyue Ding Feng Xiao Xuming Zhang Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

This paper proposes a improved non-local means (NLM) filter for image denoising. Due to the drawback that the similarity is computed based on the noisy image, the traditional NLM method easily generates the artifacts in case of high-level noise. The proposed method first preprocesses the noisy image by Gaussian filter. Then, a moving window at each pixel of the noisy image is chosen as the search window, and meanwhile, a improved calculation method of spatial distance based on the preprocessed image is used for computing the similarity. Finally, combining the improved distance with search window based on the noisy image, the intensity of each pixel is restored as the traditional NLM method. The standard images are used to evaluate restoration performance of the proposed method. Additionally, the application on medical image denoising also demonstrates that our method is practical.

关键词： Noise measurement Noise Noise reduction image denoising image restoration Biomedical imaging image edge detection

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A Tube Length Measurement Device Based on Acoustic Method

A Tube Length Measurement Device Based on Acoustic Method

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International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Yimin Chen Jian Qi Xuming Zhang Mingyue Ding Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

A low-cost device using acoustic method for measuring open-end tube length is developed. The proposed device is aimed to get the length of the tubes which are piled up together, and only one end of which is available in the warehouse or dumping areas. The device contains the emitting and receiving probes to echo the sound pulse and receive the reflection sound wave, and has been developed with discrete component circuits whose key part is the logical control circuit based on ARM. Experiments are performed in the open tubes with the lengths between 0.85 m to 6 m. The measurement error is below 0.5 cm. For the tubes blocked by the cement or earth, the device can detect the location of obstruction automatically. Based on the acoustic method, experiments are also conducted in the blocked tubes based on Matlab software, and the analysis of the reflection wave is given.

关键词： Electron tubes Length measurement Acoustics Acoustic measurements Calibration Earth Measurement uncertainty

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Fabric defect detection using undecimated wavelet transform

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Information Technology Journal 2011年第9期10卷 1701-1708页

作者： Bi, Mingde Sun, Zhigang Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology 1037 Luoyu Road 430074 Hubei Wuhan China

In this study, a new fabric defect detection algorithm base on undecimated wavelet transform is proposed. The selection scheme of wavelet decomposition scales is investigated to set the decomposition scales adaptively to the fabric texture. The objective of the scheme is to enhance the energy of defective region and attenuate the energy of non-defective region. And the performance of detection results with different number of decomposition scales is also discussed. A simple and computationally effective data fusion scheme combined with amplitudes division of wavelet coefficients is used to fuse data from multiple scales together. And several features based on defective energy estimation are extracted from fused image. By examining the extracted features the proposed algorithm can provide not only the location of defects but also some detailed information about them which can be used for defect recognition and classification. Experimental results of real fabric defects are provided to validate the effectiveness and robustness of the defect detection algorithm. © 2011 Asian Network for Scientific Information.

关键词： Wavelet decomposition

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control of Upper-Limb Power-Assist Exoskeleton Based on Motion Intention Recognition

Control of Upper-Limb Power-Assist Exoskeleton Based on Moti...

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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Yongji Wang Jian Huang Weiguang Huo Jun Wu Lei Cheng Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Educa

Recognizing the user motion intention plays an important role in the study of power-assist robots. An intention-guided control strategy is proposed for the upper-limb power-assist exoskeleton. A force sensor system comprised of force sensing resistors (FSRs) is designed to online estimate the motion intention of user upper limb. A new concept called “intentional reaching direction (IRD)” is proposed to quantitatively describe this intention. Both the state model and the observation model of IRD are obtained by enumerating the upper limb behavior modes and analyzing the relationship between the measured force signals and the motion intention. Based on these two models, the IRD can be online inferred by applying filtering technology. Guided by the estimated IRD, an admittance control strategy is assumed to control the motions of three DC motors in the joints of the robotic arm. The effectiveness of the proposed approaches is finally confirmed by the experiments on a 3-DOF robotic exoskeleton.

关键词： Joints Exoskeletons Force Humans Robot sensing systems Jacobian matrices

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Echo state Networks Based Method for Harmonic Extraction in Shunt Active Power Filters

Echo State Networks Based Method for Harmonic Extraction in ...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Jinbang Xu Jun Yang Feng Liu Zhixiong Zhang Anwen Shen Department of Control Science & Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science & Technology Wuhan China

With the wide use of power conversion devices, harmonic currents are being injected into the power grid. Shunt Active Power Filters (SAPF) is a power electronic device to compensate the harmonic currents caused by nonlinear loads. As the foundation of the harmonics recognition and compensation, harmonic extraction techniques are becoming more and more important. This paper proposes a new harmonic extraction method based on the Echo state Networks (ESN). ESN is a new type of Recurrent Neural Networks (RNN), which has much faster training speed than other types of RNN. To evaluate the dynamic system modeling capability of the ESN, the ESN with different dynamic reservoir size are discussed. The performance of the ESN based harmonic extraction method is compared with traditional methods and method based on multilayer perceptron networks (MLP). The ESN algorithm is trained and tested in MATLAB.

关键词： Harmonic analysis Power harmonic filters Training Training data Reservoirs Neurons

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ANN-based control Method Implemented in a Voltage Source Converter for Industrial Micro-grid

ANN-based Control Method Implemented in a Voltage Source Con...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Jinbang Xu Zhizhuo Wu Xuan Yang Jie Ye Anwen Shen Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science & Technology Huazhong University of Science & Technology Wuhan China

With more and more attention on the grid current harmonic in recent years, many control schemes of the Pulse Width Modulation Voltage Source Converter (PWM-VSC) have been investigated. Conventional PI controller has shown limitations such as sensitivity to load and system parameter variation. Even the stability of the system can be threatened under a large and sudden load change. In this paper, the practical situation of a VSC for industrial Micro Grid (MG) is considered and an Artificial neural network (ANN) based control method is employed to solve the problem. Meanwhile, an on-line parameter tuning algorithm is introduced for its advantage of self-tuning and system character identification. The proposed control scheme is verified through simulation based on SABER software. The simulation results have shown the advantage of the proposed method and the performance of the parameter tuning session.

关键词： Voltage control Artificial neural networks Power conversion Regulators Voltage measurement Frequency control

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Deformation prediction of landslide based on genetic-simulated annealing algorithm and BP neural network

Deformation prediction of landslide based on genetic-simulat...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Huangqiong Chen Zhigang Zeng Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

In this paper, a modified method for landslide prediction is presented. This method is based on the back propagation neural network(BPNN), and we use the combination of genetic algorithm and simulated annealing algorithm to optimize the weights and biases of the network. The improved BPNN modeling can work out the complex nonlinear relation by learning model and using the present data. This paper demonstrates that the revised BPNN modeling can be used to predict and calculate landslide deformation, quicken the learning speed of network and improve the predicting precision. Applying this thinking and method into research of some landslide in the Three Gorges reservoir, the validity and practical value of this model can be demonstrated. And it also shows that the dynamic prediction of landslide deformation is very crucial.

关键词： Terrain factors Prediction algorithms Biological neural networks Artificial neural networks Annealing Predictive models Simulated annealing

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Spiking Neural P Systems for Arithmetic Operations

Spiking Neural P Systems for Arithmetic Operations

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Xiangxiang Zeng Tao Song Linqiang Pan Xingyi Zhang Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei Anhui China

Recently, Gutierrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.

关键词： Neurons Tin Encoding Adders Educational institutions Generators Computational modeling

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