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International Workshop on Digital Media and Digital Content Management, DMDCM 2011

作者： Wei, Xiaopeng Xiao, Boxiang Zhang, Qiang Liu, Rui Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China School of Mechanical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9780769544137

A noise data processing algorithm based on rigid structure matching for human motion capture (MoCap) is presented in this paper. The noise model is related to parts of human body, but not to trajectories of markers as most used in traditional approaches. Three issues are addressed in this method: rigid structure matching, semantic restriction and noise reduction, and they are three steps of data processing. First, human body is divided into seven main parts: head, chest, waist, hands and legs, and all parts' candidate parts are generated by algorithm of rigid structure matching from motion data. Missing markers can be automatically reconstructed by existing markers on a same rigid structure. Subsequently, one group of parts with most possibility is determined as initial processed data by semantic restriction. Finally, an impulse noise model is found based on the analysis of data, and the noise has been filtered. At the end, the main conclusions of this research are drawn, and the advantages and limitations of this approach are discussed respectively. The algorithm presented can be easily implemented and performed, and the processed motion data can be expediently used in human body animation. The efficiency of the method is illustrated by the experiments. © 2011 IEEE.

关键词： Rigid structures

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Robotic global path-planning based modified genetic algorithm and A* algorithm

Robotic global path-planning based modified genetic algorith...

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3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011

作者： Zeng, Cen Zhang, Qiang Wei, Xiaopeng Dalian University of Technology Dalian Liaoning116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

ISBN: (纸本)9780769542966

Global path planning for mobile robot using genetic algorithm and A* algorithm is investigated in this paper. The proposed algorithm includes three steps: the MAKLINK graph theory is adopted to establish the free space model of mobile robots firstly, then Dijkstra algorithm is utilized for finding a feasible collision-free path, finally the global optimal path of mobile robots is obtained based on the hybrid algorithm of A* algorithm and genetic algorithm. Experimental results indicate that the proposed algorithm has better performance than Dijkstra algorithm in term of both solution quality and computational time, and thus it is a viable approach to mobile robot global path planning. © 2011 IEEE.

关键词： Mobile robots

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Multi-objective Optimization Conceptual design of Product Structure Based on Variable Length Gene Expression

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Chinese Journal of Mechanical Engineering 2011年第1期24卷 42-49页

作者： WEI Xiaopeng ZHAO Tingting JU Zhenhe ZHANG Shi LI Xiaoxiao School of Management Dalian University of Technology Dalian 116023 China Key Laboratory of Advanced Design and Intelligent Computing of Ministry of Education Dalian University Dalian 116622 China New Energy Center Shenyang Institute of Engineering Shenyang 110136 China Liaoning Solar Energy R＆D Co. Ltd. Shenyang 110136 China Institute of Systems Engineering Northeastern University Shenyang 110004 China

It is a complicated problem for the bottom-to-top adaptive conceptual design of complicated products between structure and function. Reliable theories demand to be found in order to determine whether the structure accords with the requirement of design. For the requirement generally is dynamic variety as time passes, new requirements will come, and some initial requirements can no longer be used. The number of product requirements, the gene length expressing requirements, the structure of the product, and the correlation matrix are varied with individuation of customer requirements of the product. By researching on the calculation mechanisms of dynamic variety, the approaches of gene expression and variable length gene expression are proposed. According to the diversity of structure selection in conceptual design and mutual relations between structure and function as well as structure and structure, the correlation matrixes between structure and function as well as structure and structure are defined. By the approach of making the sum of the elements of correlation matrix maximum, the mathematical models of multi-object optimization for structure design are provided based on variable requirements. An improved genetic algorithm called segment genetic algorithm is proposed based on optimization preservation simple genetic algorithm. The models of multi-object optimization are calculated by the segment genetic algorithm and hybrid genetic algorithm. An example for the conceptual design of a washing machine is given to show that the proposed method is able to realize the optimization structure design fitting for variable requirements. In addition, the proposed approach can provide good Pareto optimization solutions, and the individuation customer requirements for structures of products are able to be resolved effectively.

关键词： gene expression multi-object optimization conceptual design genetic algorithm

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Robotic Global Path-Planning Based Modified Genetic Algorithm and A* Algorithm

Robotic Global Path-Planning Based Modified Genetic Algorith...

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International Conference on Measuring Technology and Mechatronics Automation, ICMTMA

作者： Cen Zeng Qiang Zhang Xiaopeng Wei Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian Dalian University China Dalian University of Technology Dalian Liaoning China

ISBN: (纸本)9781424490103

关键词： Mobile robots Path planning Gallium Genetic algorithms Encoding Algorithm design and analysis

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Speech emotion recognition using mixed model

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ICIC Express Letters 2011年第6期5卷 1987-1994页

作者： Zhao, Lasheng Wei, Xiaopeng Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian Economic Technological Development Zone No. 10 Xuefu Ave Dalian 116622 China

Speech emotion recognition is one of the latest challenges in human-compu-ter interaction. By the comprehensive use of Gaussian mixture model (GMM) and genetic algorithm (GA) techniques, etc., a mixed speech emotion recognition model is presented based on different emotion feature set and multiple classiers combination. First, the different set of features is extracted respectively according to the different speech model, and then, individual classier is designed for each set of features using GMM. Finally, speech emotion is recognized by the combined classier based on GA. Experimental results show that the proposed method can obtain much better performance than the individual classier. © 2011 ISSN 1881-803X.

关键词： Emotion Recognition

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A Rigid Structure Matching-Based Noise Data Processing Approach for Human Motion Capture

A Rigid Structure Matching-Based Noise Data Processing Appro...

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Workshop on Digital Media and Digital Content Management (DMDCM)

作者： Xiaopeng Wei Boxiang Xiao Qiang Zhang Rui Liu Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China School of Mechanical Engineering Dalian University of Technology Dalian China

关键词： Joints Semantics Noise Data processing Data models Noise reduction Humans

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求解丢番图方程的模拟植物生长算法

求解丢番图方程的模拟植物生长算法

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第十四届中国管理科学学术年会

作者： LI Tong 李彤 XIA Zhang-li 夏张莉 SU Wei-ling 宿伟玲 Management College Hangzhou Dianzi UniversityHangzhou 310018China Key Laboratory of Advanced Desig 杭州电子科技大学管理学院浙江杭州 310018 先进设计与智能计算教育部重点实验室辽宁大连 116622 Management College Hangzhou Dianzi UniversityHangzhou 310018China 杭州电子科技大学管理学院浙江杭州 310018 Key Laboratory of Advanced Design and Intelligent Computing Ministry of EducationDalian 116622Chin 先进设计与智能计算教育部重点实验室辽宁大连 116622

基于模拟植物生长算法(PGSA)，提出了一种求解丢番图方程的通用性智能算法。在该算法中，按照L-系统进行三次分型后得到植物初始生长点，将丢番图方程解空间作为植物的生长环境，建立以生长规则为基础的植物系统演绎方式和以植物向光性... 详细信息

基于模拟植物生长算法(PGSA)，提出了一种求解丢番图方程的通用性智能算法。在该算法中，按照L-系统进行三次分型后得到植物初始生长点，将丢番图方程解空间作为植物的生长环境，建立以生长规则为基础的植物系统演绎方式和以植物向光性理论为基础的概率生长模型。通过对典型问题的求解，表明模拟植物生长算法具有搜索精度高，求解稳定性强的特点，本算法尝试改变目前丢番图方程“一种方程一种解法”的研究状况。

关键词：数学规划丢番图方程模拟植物生长算法

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A stratified image-hiding method based on chaos

A stratified image-hiding method based on chaos

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

作者： Li, Ying Zhang, Qiang Ma, Na Key Laboratory of Advanced Design and Intelligent Computing Dalian university Ministry of Education Dalian 116622 China

ISBN: (纸本)9781424464388

This paper presents a stratified image hiding scheme based on chaotic algorithm. In the pretreatment process chaotic sequences are used to encrypt the secret image. The histogram of the processed image is similar to that of white noise. A stratified secret data embedding thought is adopted in the embedding process. As the experimental results show, this algorithm has relatively large embedding capacity, good invisibility and robustness. © 2010 IEEE.

关键词： White noise

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Image encryption algorithm based on DNA biological properties and chaotic systems

Image encryption algorithm based on DNA biological propertie...

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

作者： Wang, Qian Zhang, Qiang Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian 116622 China

ISBN: (纸本)9781424464388

With the rapid development of DNA computing, people began to use DNA technology to encrypt information. In this paper, we combine the biological characteristics of DNA and the improved sequence of Logistic mapping method, encrypt the image. The biological characteristics of DNA can better scramble image pixel, and the improved sequence can better change the pixel values. The encryption effect of this paper is better than traditional encryption, and the correlation of adjacent pixels is very low. © 2010 IEEE.

关键词： DNA

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Image encryption algorithm based on high-dimensional chaotic systems

Image encryption algorithm based on high-dimensional chaotic...

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2010 International Conference on intelligent Control and Information Processing, ICICIP 2010

作者： Yu, Wanbo Chi, Chunjian Wei, Xiaopeng Yang, Xuesong Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University DalianLiaoning 116622 China

ISBN: (纸本)9781424470488

In order to protect image effectively, presented an image encryption algorithm based on wavelet function and four-dimension chaotic system. The algorithm firstly uses Wavelet function chaotic maps to scramble the image pixel location, and then use four-dimension chaotic system disturbs image pixel value. Experimental results show that the algorithm has a good properties that Shannon proposes confusion and diffusion. At the same time, It can resist a strong attack with the large key space, encryption image pixel values has a random uniform distribution and adjacent pixels value has zero correlation. These results show that the proposed scheme has good security characteristics. © 2010 IEEE.

关键词： Chaotic systems

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