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检索条件"机构=Key Laboratory of Image Processing and Intelligent Control"

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Notice of Retraction: A Wearable System for Epidural Spinal Cord Stimulation in Freely Moving Rats

Notice of Retraction: A Wearable System for Epidural Spinal ...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Hui Zhou Qi Xu Jiping He Hangkong Ren Houlun Zhou Kejia Zheng Key Laboratory of Image Processing and Intelligent Control Department of Control Science & Engineering Huazhong University of Science and Technology Wuhan China Department of Anatomy Tongji medical college Huazhong University of Science and Technology Wuhan China

This article has been retracted by the publisher.

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Forward simulation of remaining oil exploration in cross-well by time domain electromagnetic method

Forward simulation of remaining oil exploration in cross-wel...

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IEEE International Conference on Communication Software and Networks

作者： Xi-Jin, Song Rui-Rong, Dang Bao-Long, Guo Xue-Long, Wang Key Laboratory of Photoelectric Logging and Detecting of Oil and Gas Ministry of Education Xi'An Shiyou University Xi'an China Institute of Intelligent Control and Image Engineering Xidian University Xi'an China College of Computer Science and Technology Xi'An University of Technology Xi'an China

ISBN: (纸本)9781612844855

Based on electromagnetic field theory, this paper derived the general expressions of time domain responses for cross-well electromagnetic logging. The emission waveform may be chosen as bipolar square wave by calculating the spectrums of three types of transmit signals. And the effects of thickness, magnetic permeability and electrical conductivity of the casing on time domain electromagnetic logging responses were analyzed. The computation results show that the casing change whether thinner or thicker has an obvious effect on the time domain logging responses. The simulation results also indicate the higher the casing electrical conductivity, the lower the response signal amplitude;and the lower the magnetic permeability, the more easy the electromagnetic signals through the casing. Furthermore, the sensitivity analysis of the time domain electromagnetic responses to the formation resistivity indicates that the electromagnetic responses are fairly sensitive to the formation resistivity. This result proved the feasibility and effectiveness of cross-well time domain electromagnetic logging technology applies to the field of oil and gas exploration. © 2011 IEEE.

关键词： Magnetic permeability

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A Uniform Solution to Common Algorithmic Problem by Tissue P Systems with Cell Division

A Uniform Solution to Common Algorithmic Problem by Tissue P...

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

作者： Yunyun Niu Linqiang Pan Mario J. Perez-Jimenez Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Sevilla Spain

Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model which has two basic characters: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount of cells in linear time and to design cellular solutions to computationally hard problems in polynomial time. We here present an effective solution to the common algorithmic decision problem using a family of recognizer tissue P systems with cell division.

关键词： Manganese Polynomials Biomembranes Computer science Bismuth Radiation detectors Educational institutions

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Statistical Boundary Extraction Base on Quantum Particle Motion

Statistical Boundary Extraction Base on Quantum Particle Mot...

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

作者： Yangguang Sun Mingyue Ding College of Computer Science South-Central University for Nationalities Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China

A novel statistical method was proposed for boundary extraction of interested objects in this letter. The proposed method was inspired by the physical nature of quantum and the statistical property of wave function. By introducing the polymer representation of quantum particle and based on quantum particle motion in the gradient-based image potential field, the boundary extraction was realized in our method. Experimental results demonstrated that our method has the capability to make the boundary extraction with arbitrary initialization and topology changes possible.

关键词： Quantum mechanics Wave functions Educational institutions Polymers Monte Carlo methods Deformable models Probability distribution

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Improving strategies on PSO for suborbit launch vehicle trajectory optimization

Improving strategies on PSO for suborbit launch vehicle traj...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Fuqiang Xie Ye Yang Songtao Chang Yongji Wang School of Electric Engineering University of South China Hengyang China Beijing AeroSpace Automatic Control Institute Beijing China Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

Solving the optimal control problem with a free final time, such as suborbital launch vehicle (SLV) trajectory optimization with two control variables and multi-constraints ones based on particle swarm optimization (PSO), the smoothness of control variable can not be satisfied by linear interpolation method. A novel method including some improving strategies based on PSO for trajectory optimization is proposed, named LCPSO which is a kind of Cooperate PSO based on Legendre orthogonal polynomials. An additional control variable is introduced and transcribes the original optimal problem to a problem with fixed final time, and one dimension searching method based on interval analysis is used to optimize the additional control variable. Furthermore, a theorem on how to find the boundaries of the coefficient of polynomials is proved. Compared with basic PSO, LCPSO has traits of lower dimensions and smoother control variable. An example of trajectory optimization shows the effectiveness of the LCPSO algorithm.

关键词： Polynomials Optimization Switches Trajectory Optimal control Vehicles Approximation methods

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Quantitative Study on Despeckle Methods of Medical Ultrasound images

Quantitative Study on Despeckle Methods of Medical Ultrasoun...

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

作者： Runxia Ma Xuming Zhang Mingyue Ding Qi Liu Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Life College of Science and Technology Huazhong University of Science and Technology Wuhan China School of Electrical Information Engineering Sichuan University Chengdu China

Speckle is a granular noise that inherently exists in all types of coherent imaging systems. This paper presents a quantitative study on five despeckling methods such as frost filter, kuan filter, speckle reducing an isotropic diffusion, homomorphic filter and wavelet filter. We select six objective evaluation parameters, such as signal-to-ratio, contrast signal-to-noise ratio, figure of merit, least absolute error, edge protection factor, signal-to-minimum mean square error ratio, to quantify the performance of these filters. The comparative study will provide some parameter comparative reference for selecting a suitable filter in the ultrasound image processing.

关键词： Nonlinear filters Maximum likelihood detection Ultrasonic imaging Noise Speckle Gabor filters Digital filters

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A Research of Heart Rate Prediction Model Based on Evolutionary Neural Network

A Research of Heart Rate Prediction Model Based on Evolution...

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

作者： Feng Xiao Ming Yuchi Mingyue Ding Jun Jo Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Life College of Science and Technology Huazhong University of Science and Technology Wuhan China School of Information and Communication Technology Griffith University QLD Australia

Heart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. A method of Evolutionary Neural Network - Neuro-evolution of Augmenting Topologies (NEAT) is used to build a PA-based HR predictor model. Through special coding, crossover and mutation operator, NEAT can implement network topology and connectivity weights evolution simultaneously. The common problem in evolutionary neural network, like competing conventions, how to protect the new innovation are effectively solved. The experimental results demonstrated the application potential of the approach.

关键词： Heart rate Biological neural networks Training Monitoring Neurons Encoding Biomedical monitoring

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Analysis of a memristor-based switching network

Analysis of a memristor-based switching network

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International Conference on Information Science and Technology (ICIST)

作者： Ailong Wu Yi Shen Zhigang Zeng Jine Zhang Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan China School of Basic Science East China Jiao Tong University Nanchang China

ISBN: (纸本)9781424494408

In this paper, we formulate and investigate a memristor-based switching network which is directly extended from Itoh and Chua's chaotic circuit. Conditions are derived which ensure the existence of an equilibrium point and the uniformly stable for state trajectories of the memristor-based switching network. The analysis in the paper employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. It is believed that the criteria in this paper is also valuable in the design of memristor-based switching network which can be used to solve efficiently classes of optimization problems arising in practical engineering applications.

关键词： Chaos Switches

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Voxel based treatment prediction using diffusion anisotropy indices and spatial information in Glioblastoma Multiform tumor

Voxel based treatment prediction using diffusion anisotropy ...

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2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011

作者： Sabahi, Hadi Soltanian-Zadeh, Hamid Scarpace, Lisa Mikkelsen, Tom Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States Hermelin Brain Tumor Research Center Neurosurgery Department Henry Ford Health System Detroit MI 48202 United States

ISBN: (纸本)9781467310055

In this paper, we propose a method to predict the outcome of Bevacizumab therapy on Glioblastoma Multiform (GBM) tumors. The method uses diffusion anisotropy indices (DAI) and spatial information to predict the treatment response of each tumor voxel. These DAIs are Fractional Anisotropy, Mean Diffusivity, Relative Anisotropy, and Volume Ratio, extracted from Diffusion Tensor Imaging (DTI) data before treatment. The spatial information is considered as the distance of each tumor voxel from the tumor center, extracted from pre-treatment post-contrast T1-weighted Magnetic Resonance images (pc-T1-MRI). DAIs and spatial information of each tumor voxel are considered as feature vector. DTI and pc-T1-MRI are gathered before and after the treatment of seven GBM patients. First, DAIs of all brain voxels and the distance of each tumor voxel from the tumor center are calculated. Second, the method registers pre-treatment DAI maps and post-treatment pc-T1-MRI to pre-treatment pc-T1-MRI. Next, the tumor is segmented using thresholding technique from pc-T1-MRI. Then, Gd-enhanced voxels of the pre- and post-treatment pc-T1-MRI are compared to label the feature vectors. Three classifiers were evaluated, including Support Vector Machine, K-Nearest Neighbor, and Artificial Neural Network. Classification results show a preference for K-Nearest Neighbor based on well-established performance measures. © 2011 IEEE.

关键词： Tumors

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Reliability assessments of Chinese high speed railway network

Reliability assessments of Chinese high speed railway networ...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Jianhua Zhang Liu Hong Shuliang Wang Xiaoming Xu Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Department of Control Science and Engineering Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Shanghai Academy of System Science University of Shanghai for Science and Technology Shanghai China

With the economic developments, high speed railway has been paid many attentions in China and medium- short term planning of Chinese high speed railway network has been formed and most of the railways have been started into operations. In this paper, graph theory and complex network theory are adopted to assess the reliability of Chinese high speed railway network. The topological characteristics and real distances between pairs of stations are discussed to investigate the reliability of Chinese high-speed rail network. Several parameters are presented to investigate the topological characteristics and the reliability and robustness of the network subject to failures. The parameter called unit degree betweenness is proposed to assess the transport capacity of lines connecting with the nodes. The largest degree node-based attacks and the highest betweenness node-based attacks are involved into Chinese high speed railway network to assess the topological reliability and robustness. The results show that the highest betweenness node-based attacks are more effective to destroy the network than the largest degree node-based attacks. Moreover, the cumulative degree distribution and the real mileages of railways between pairs of stations can be fitted by Gauss functions, and the distribution of real shortest distances over all pairs of stations of the network is fitted by a normal distribution function. By the simulations, the critical stations, Guangzhou Station, Zhengzhou Station and Jinan Station for the largest degree node-based attacks, and Wuhan Station, Xuzhou Station and Shijiazhuang Station for the highest betweenness node-based attacks, can be obtained in this paper.

关键词： Artificial neural networks Robustness Rail transportation

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