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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Zhihua Chen Jin Xu Xiaolong Shi Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China School of Electronics Engineering and Computer Science Peking University Beijing China

The potential use of molecular computation in attacking the Data Encryption Standard (DES) is already known, but the used computing models are not autonomous and require many tedious laboratory steps to execute. In this paper, a description of attacking DES using tile self assembly models in Θ(1) distinct tile types is given theoretically. The computation takes advantage of tiles' autonomy and the characteristic of highly distributed parallel computation. Each assembly configuration yields the ciphertext in linear time with respect to the times of the round function included in DES. The feasibility of finding the main key of DES in tile assembly models has been discussed. Analysis indicates that the tile assembly models might succeed by using a little of DNA under low error rate.

关键词： Tiles Assembly Computational modeling Encryption Self-assembly IP networks Mathematical model

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Compressed Sensing for RF Signal Reconstruction in B-model Ultrasound imaging

Compressed Sensing for RF Signal Reconstruction in B-model U...

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

作者： Shaoyan Hua Ming Yuchi Mingyue Ding Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Biomedical Engineering Department School of life Science and Technology Huazhong University of Science and Technology Wuhan China

This paper proposed the a compressed sensing (CS)technique to ultrasound imaging and address the feasibility of compressive sensing theory for RF signal reconstruction in B-model medical ultrasound. with partial Fourier sampling, we compare different reconstruction algorithm to the simulation RF signal. reconstruction from 50% of the samples of original numerical cyst phantom show temperate information loss and feasibility of application CS in medical ultrasound.

关键词： Ultrasonic imaging Image reconstruction RF signals Compressed sensing Biomedical imaging Minimization

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Adaptive Tracking control of Rigid-Link Flexible-Joint Robot Manipulator with Uncertainties

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IFAC Proceedings Volumes 2011年第1期44卷 10300-10306页

作者： Chao Liu Xianbo Xiang Philippe Poignet LIRMM French Nation Center for Scientific Research (C.N.R.S.) Montpellier 34095 France Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology 430074 P.R.China

Abstract Joint flexibility is an important factor to consider in the robot control design if high performance is expected for the robot manipulators. In this paper, we propose an adaptive tracking control method which can deal with the kinematics uncertainty and uncertainties in both link and actuator dynamics of the rigid-link flexible-joint (RLFJ) robot system. Adaptive observers are designed to avoid acceleration measurements due to the fourth-order overall system dynamics. Convergence of both end-effector tracking errors and observing errors are proven and sufficient conditions are presented to guarantee system's asymptotic stability.

关键词： Robot manipulator flexible joint adaptive control observer

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Tuning of Auto-Disturbance Rejection controller Based on the Invasive Weed Optimization

Tuning of Auto-Disturbance Rejection Controller Based on the...

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

作者： Zhihua Chen Shuo Wang Zhonghua Deng Xuncai Zhang Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China School of Electrical and Electronic Engineering Zhengzhou University of Light Industry Zhengzhou China

Auto-Disturbance Rejection controller (ADRC) has been proved to be a capable replacement of PID with unmistakable advantage in performance and practicality. But it is difficult to obtain a set of optimal parameters, for ADRC controller has too many parameters and has no deterministic rules to compute the parameters. In this paper, Objective function is constructed based on the control system performance indexes. Combined with experienced parameters of ADRC, an invasive weed optimization algorithm (IWO) is employed to obtain a set of key parameters. The simulation results show the validity of the IWO algorithm.

关键词： Tuning Optimization Mathematical model control systems Robustness Search problems Simulation

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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 ...

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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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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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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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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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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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