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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Chang Liu Xinhan Huang Min Wang Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China Departm Key Laboratory of Image Processing and IntelligentControl of Ministry of Education of China Departme

Visual servoing has been around for decades, but the time delay is still one of the most troublesome problems to achieve maneuvering target *** circumvent the problem, in this paper, the Kalman filter is employed to estimate future position of the maneuvering *** order to introduce the Kalman filter, the accurate time delays, which include the processing lag and the motion lag, need to be ***, the delays of the visual control servoing systems are discussed, and a generic timing model for the system are ***, we present a current statistical model for maneuvering *** adaptive Kalman filter, which is evolved from the Kalman filter, is put forward based on the current statistical *** results show that the modified adaptive filter can improve the ability of maneuvering target tracking.

关键词： Kalman filter Timing Model Target Tracking Micro Maniputlation

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Research on evolutionary multi-objective optimization algorithms

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Ruan Jian Xue Bao/Journal of Software 2009年第2期20卷 271-289页

作者： Gong, Mao-Guo Jiao, Li-Cheng Yang, Dong-Dong Ma, Wen-Ping Institute of Intelligent Information Processing Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding Xidian University Xi'an 710071 China

Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-objective optimization problems by evolutionary computation, has become a hot topic in evolutionary computation community. After summarizing the EMO algorithms before 2003 briefly, the recent advances in EMO are discussed in details. The current research directions are concluded. On the one hand, more new evolutionary paradigms have been introduced into EMO community, such as particle swarm optimization, artificial immune systems, and estimation distribution algorithms. On the other hand, in order to deal with many-objective optimization problems, many new dominance schemes different from traditional Pareto-dominance come forth. Furthermore, the essential characteristics of multi-objective optimization problems are deeply investigated. This paper also gives experimental comparison of several representative algorithms. Finally, several viewpoints for the future research of EMO are proposed. © by Institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Multiobjective optimization

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Changes in spectrum mapping in rhythmic movement involved in walking after spinal cord injury

Changes in spectrum mapping in rhythmic movement involved in...

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2013 IEEE International Conference on Medical Imaging Physics and Engineering

作者： Li Wei Yan Zhiqiao Huang Yue Xu Jiang Image Processing and Intelligent Control Key Laboratory of Education Ministry of China School of Automation Huazhong University of Science and Technology Rehabilitation Department Tongji HospitalWuhan

ISBN: (纸本)9781467358873

Spectrum mapping reflects the strength of brain electrical activity in different frequency *** current study analyzes changes in electroencephalography(EEG) after spinal cord injury(SCI) on the basis of spectrum *** spectrum mappings of SCI patients and normal subjects,the fact that beta rhythm dominated in brain electrical activity during walking period was *** addition,the proportion of delta wave increased and slightly exceeded that of beta wave after spinal cord injury and power values in delta band of SCI patients performed greater than that of normal subjects.

关键词： Spectrum mapping,Spinal cord injury,Frequency band

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Accelerated algorithm to incomplete nonnegative matrix factorization

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2011年第2期39卷 291-295页

作者： Shi, Jia-Rong Jiao, Li-Cheng Shang, Fan-Hua Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an Shaanxi 710071 China

Nonnegative matrix factorization (NMF) is an increasingly popular technique for data processing and analysis. For an incomplete data matrix, the weighted nonnegative matrix factorization (WNMF) is employed to decompose it. But the searching step size in WNMF is not optimal along the given searching direction. This paper studies the incomplete nonnegative matrix factorization (INMF) and proposes an accelerated algorithm. First, INMF is transformed into solving alternatively two nonnegative least squares (NNLS) problems. For each NNLS problem, the exact step size is chosen along the searching direction. Then, the complexity of NNLS problems is analyzed. Finally, experimental results show that the proposed method outperforms WNMF.

关键词： Matrix algebra

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Sufficient and necessary conditions for Lyapunov stability of Lorenz system and their application

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Science China(Information Sciences) 2010年第8期53卷 1574-1583页

作者： LUO Qi 1 , LIAO XiaoXin 2 & ZENG ZhiGang 2 1 College of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, China 2 Department of Control Science and Engineering, Huazhong University of Science and Technology, image processing and intelligent Control key laboratory of Education Ministry of China, Wuhan 430074, China 1. College of Information and Control Nanjing University of Information Science and Technology Nanjing 210044 China2. Department of Control Science and Engineering Huazhong University of Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Wuhan 430074 China

The sufficient and necessary conditions for Lyapunov stability of the zero equilibrium point of Lorenz system are discussed, and some brief criteria are presented for globally exponential stability, globally asymptotical stability and instability. Furthermore, the behavior of the non-zero equilibrium point of Lorenz system is also investigated, and several sufficient and necessary conditions are provided for locally exponential stability and instability. The established theorems in this paper develop and extend the existing achievements on Lyapunov stability of Lorenz system. In conclusion, by applying the obtained results, some less conservative feedback-control laws are derived to guarantee the globally exponential stability of the chaos control of Chen system, Lu¨ system, Yang-Chen system and Yu-Xia Li system.

关键词： Lorenz system Lyapunov stability sufficient and necessary condition bifurcation values globally exponential synchronization

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Task Allocation and Path Planning for Multiple Destinations Oriented Towards Task Updates 6

Task Allocation and Path Planning for Multiple Destinations ...

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Yang, Yong He, Dingxin Mao, Huantao Chen, Hong Wu, Hongtao Liu, Zhi-Wei Huazhong University of Science and Technology School of Artificial Intelligence and Automation China Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan430074 China

ISBN: (纸本)9798350356618

This study addresses the complexities of orchestrating multi-target transportation tasks within multi-agent systems, constrained by load capacity. The primary objective is to engineer an advanced path planning framework that assures collision avoidance and optimal load distribution. Diverging from conventional single-path strategies, this research incorporates load factors and requires continuous dynamic multi-target point and path planning to ensure agents can efficiently navigate through a series of predetermined key points. To address this complex requirement, a two-stage multi-agent task allocation and path planning method is proposed. First, an initial solution is obtained using a suboptimal algorithm, followed by optimization iterations using the large neighborhood search algorithm to improve task allocation. In the second stage, an accelerated algorithm based on priority search is used to plan optimal paths for each agent in a predetermined order. The proposed algorithm's effectiveness is comprehensively evaluated through a series of experimental evaluations and comparisons with the commercial solver Gurobi within a limited time. The results show that the proposed method achieves optimality in both running time and minimum path cost while ensuring the load balance of agents. © 2024 IEEE.

关键词： Motion planning

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image fusion algorithm using nonsubsampled contourlet transform

Image fusion algorithm using nonsubsampled contourlet transf...

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MIPPR 2007: Multispectral image processing

作者： Yang, Xiao Zhiguo, Cao Kai, Wang Zhengxiang, Xu Institute of Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong Uni. of Sci. and Tech. Wuhan 430074 China

ISBN: (纸本)9780819469519

In this paper, a pixel-level image fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) has been proposed. Compared with Contourlet Transform, NSCT is redundant, shift-invariant and more suitable for image fusion. Each image from different sensors could be decomposed into a low frequency image and a series of high frequency images of different directions by multi-sacle NSCT. For low and high frequency images, they are fused based on local-contrast enhancement and definition respectively. Finally, fused image is reconstructed from low and high frequency fused images. Experiment demonstrates that NSCT could preserve edge significantly and the fusion rule based on region segmentation performances well in local-contrast enhancement.

关键词： image fusion

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The application of support vector machines and improved particle swarm optimization

The application of support vector machines and improved part...

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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Hu Zhang Min Wang Xinhan Huang Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing and IntelligentControl of Education Department of Control Science Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science

ISBN: (纸本)9781467315241

Parameters selection of support vector machine is the key issue that impacts its accurate performance.A method for support vector regression machine with standard particle swarm optimization (SPSO) algorithm is proposed in this ***, in order to improve the performance of the SPSO algorithm, the concept of the particles’ average distance and fitness variance is proposed to make the efficiency of algorithm ***, the improve algorithm was also applied in this *** two different models using SPSO and IPSO respectively were used to forecast the density of the acid-lead battery *** experimental results indicate that both SPSO and IPSO have high prediction accuracy and *** time of the parametric searching by IPSO is obviously decreased to that of *** mean squared error (MSE) of the prediction model using SPSO is about 2.02056×10-4, Meanwhile, the MSE of the model using IPSO is only about 1.9324×***, the IPSO algorithm has more superior performance on convergence speed and global optimization.

关键词： support vector regression particle swarm optimization average particle distance fitness variance

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A Novel Small Dim Infrared Target Detecting Method based on Grayscale Merging and Connected Components Analysis

A Novel Small Dim Infrared Target Detecting Method based on ...

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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Ying Zhang Min Wang Shaoqing Niu Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing and IntelligentControl of Education Department of Control Science Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science

Target detecting algorithm in infrared image is drawing extensive attention both at home and abroad, expecially when the infrared images own complex backgrounds and low *** to make sure of the accuracy of infrared dim-small target detecting is the key point during the processing *** this paper, a novel region of interest detecting algorithm is proposed for aerial small dim infrared target with clutter *** from traditional region of interest extraction method, we extract region of interest based on the grayscale merging algorithm and connected components analysising ***, the infrared image is reconstructed by separating the grayscale into several interval sections, then binarization is used to segment the processed image according to estimate the threshold value using minimum error probability;finally, analysis and select the connected components, to sift the accurate connected domain which contain the *** validity of the proposed approach is demonstrated by experiment of infrared target region extraction.

关键词： Infrared small-dim target object detection connected component minimum error probability

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Zhang, Zhujin Wang, Shuo Zhang, Xingyi Zhang, Zheng Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China School of Computer and Information Science University of South Australia Adelaide SA 5095 Australia Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424464388

Randí et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n2), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species. © 2010 IEEE.

关键词： DNA sequences

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