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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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功耗约束下的3D多核芯片芯核级测试调度算法

功耗约束下的3D多核芯片芯核级测试调度算法

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第七届中国测试学术会议

作者： Wang Wei 王伟 Lin Zhuo-wei 林卓伟 Chen Tian 陈田 Liu Jun 刘军 Fang Fang 方芳 Wu Xi 吴玺 AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine HeFei AnHui H 合肥工业大学情感计算与先进智能机器安徽省重点实验室安徽合肥230009 合肥工业大学计算机与信息学院安徽合肥230009 School of Management Hefei University of Technology HeFei 230009 合肥工业大学管理学院安徽合肥230009

三维堆叠集成电路测试中的一个关键的挑战是在功耗约束下,在绑定前测试和绑定后测试中,协同优化测试应用时间和测试硬件开销.将传统的二维芯片的绑定前和绑定后测试调度方法运用于三维堆叠集成电路的测试调度会导致测试应用时间的延长.... 详细信息

三维堆叠集成电路测试中的一个关键的挑战是在功耗约束下,在绑定前测试和绑定后测试中,协同优化测试应用时间和测试硬件开销.将传统的二维芯片的绑定前和绑定后测试调度方法运用于三维堆叠集成电路的测试调度会导致测试应用时间的延长.我们分别针对未堆叠的集成电路和N(N≥2)层芯片堆叠的3D-SICs,提出了一种功耗约束下的测试调度优化算法.在ITC'02基准电路的实验结果表明,算法在功耗约束下,测试应用时间和测试数据寄存器个数分别减少多达33.8％和28.6％,证明算法能有效地权衡测试应用时间和硬件开销.

关键词：集成电路测试测试调度优化算法功耗约束

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Context-specific miRNA regulation network predicts cancer prognosis

Context-specific miRNA regulation network predicts cancer pr...

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IEEE International Conference on Systems Biology

作者： Xionghui Zhou Juan Liu Changning Liu Simon Rayner Fengji Liang Jingfang Ju Yinghui Li Shanguang Chen Jianghui Xiong School of Computer Science Wuhan University Wuhan China Bioinformatics Research Group Key Laboratory of Intelligent Information Processing Advanced Computing Research Laboratory Institute of Computing Technology Chinese Academy of Sciences (CAS) Beijing China Bioinformatics Group State Key Laboratory of Virology Wuhan Institute of Virology Chinese Academy of Sciences (CAS) Wuhan China Bioinformatics Group and Data Coordination Center State Key Laboratory of Space Medicine Fundamentals and Application China Astronaut Research and Training Center Beijing China Department of Pathology Stony Brook University Medical Center New York USA

MicroRNAs can regulate hundreds of target genes and play a pivotal role in a broad range of biological process. However, relatively little is known about how these highly connected miRNAs-target networks are remodelled in the context of various diseases. Here we examine the dynamic alteration of context-specific miRNA regulation to determine whether modified microRNAs regulation on specific biological processes is a useful information source for predicting cancer prognosis. A new concept, Context-specific miRNA activity (CoMi activity) is introduced to describe the statistical difference between the expression level of a miRNA's target genes and non-targets genes within a given gene set (context).

关键词： Breast cancer Context Correlation Biological processes Metastasis Tumors

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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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