检索结果-内蒙古大学图书馆

2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014

作者： Zeng, Wei He, Yong Le Zheng, Xiao Jun China North Vehicle Research Institute Beijing 100072 China School of Mechanical Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

ISBN: (纸本)9783038350996

Multi-depot vehicle routing problem (MDVRP for short) is complex and a typical NP-Hard problem in manufactories, especially in assembly plant. We herein present an ant colony algorithm with memory grouping list (ACMGL for short) to solve this problem. To handle affiliation between clients and depots, we present certain point grouping (CP Grouping) and uncertain point grouping (UP Grouping) and obtain variable grouping purposes, make a grouping memory list for each depot store the optimal value and path of uncertain grouping after UP grouping, and thus improve the efficiency of the operation. Experimental results verified our algorithm in the computational efficiency. © (2014) Trans Tech Publications, Switzerland.

关键词： Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

A new method for motif mining in biological networks

引用

Evolutionary Bioinformatics 2014年第2014期10卷 155-163页

作者： Xu, Yuan Zhang, Qiang Zhou, Changjun Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China

Network motifs are overly represented as topological patterns that occur more often in a given network than in random networks, and take on some certain functions in practical biological applications. Existing methods of detecting network motifs have focused on computational efficiency. However, detecting network motifs also presents huge challenges in computational and spatial complexity. In this paper, we provide a new approach for mining network motifs. First, all sub-graphs can be enumerated by adding edges and nodes progressively, using the backtracking method based on the associated matrix. Then, the associated matrix is standardized and the isomorphism sub-graphs are marked uniquely in combination with symmetric ter-nary, which can simulate the elements (−1,0,1) in the associated matrix. Taking advantage of the combination of the associated matrix and the backtracking method, our method reduces the complexity of enumerating sub-graphs, providing a more efficient solution for motif mining. From the results obtained, our method has shown higher speed and more extensive applicability than other similar methods. © the authors, publisher and licensee Libertas Academica Limited.

关键词： Associated matrix Backtracking Sub-graphs mark Symmetric ternary

来源：评论

学校读者我要写书评

暂无评论

Watermarking embedding algorithm for archive image based on image normalization and principal component analysis

引用

Journal of Computational and Theoretical Nanoscience 2014年第9期11卷 1947-1953页

作者： Wang, Ling Zhou, Changjun Archives of Dalian University Dalian 116622 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

In this paper, an algorithm that embed watermarking into archive image based on image normalization and PCA is proposed, which is based on image normalization and invariant centroid theory. For the purpose of enhancing the invisibility and resistance to geometric attack of watermarking, we first encrypt the watermarking with chaotic method before information embedding, and then eliminate the effect of geometric change to archive image by utilizing image normalization. Finally, PCA was applied to embed the watermarking in subspace. Corresponding, we perform inverse transform to the archive image which is attacked by geometric transformation before extracting the watermarking. Thus, we can prove the truth of the attacked archive image by the extracted watermarking which is recognizable. Copyright © 2014 American Scientific Publishers All rights reserved.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Abstracts

引用

BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

来源：评论

学校读者我要写书评

暂无评论

A novel and fast chaotic cryptosystem for image encryption

引用

Journal of Computational and Theoretical Nanoscience 2014年第3期11卷 731-738页

作者： Wang, Bin Wei, Xiaopeng Zhang, Qiang School of Mechanical and Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

In recent years, there has been growing interesting in image encryption based on chaotic systems. In order to improve the effect of encryption, a large amount of operations are implemented in the most chaos-based cryptosystems. However, the runtime of chaos-based cryptosystems would be increased with the rise of operations. In this paper, a novel algorithm is proposed to generate cipher key for the permutation-diffusion architecture. The cipher key not only relates to the plain-image, but also the generated time of cipher key is shorter than the conventional method. On the premise of security, a novel and fast permutation-diffusion architecture based on chaotic systems and variable control conditions is proposed. For the sake of increasing the key space and enhancing the security of proposed architecture, variable control conditions used in this cryptosystem as the parameter and initial value of same chaotic system are generated from the cipher key related to the plain-image. So the proposed algorithm can effectively resist the most attacks against permutation-diffusion architectures. Finally, theoretical analyses and numerical experimental results show that the proposed chaos-based cryptosystem possesses high security and sound time of image encryption, which is suitable for protecting the image information Copyright © 2014 American Scientific Publishers.

关键词： Chaotic systems

来源：评论

学校读者我要写书评

暂无评论

Simulating an AGV scheduling in job workshop for optimal configuration

Simulating an AGV scheduling in job workshop for optimal con...

引用

2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014

作者： Wang, Jian Bin Hou, Lu Yang Li, Wei Zheng, Xiao Jun China North Vehicle Research Institute Beijing 100072 China School of Mechanical Engineering Dalian University of Technology Dalian 116024 China CMPC Bohai Dring Engineering Company Limited Tianjin 300457 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

ISBN: (纸本)9783038350996

We herein simulate the scheduling process of automatic guided vehicle (AGV for short) with Plant Simulation, and try to obtain an optimal configuration for meeting practical engineering requirement in one assembly plant. We defined the predetermined loading station, unloading station and walking path simulation, and obtain a specific simulation time. Then, we build AGV simulation model, import data, define procedures and run the simulation process. By running the model repeatedly, we obtained the cost time and utilization rate of AGVs in each group in the process, and compared the simulation time to obtain the appropriate number of AGVs. The machine utilization results verified our simulated AGV configuration. © (2014) Trans Tech Publications, Switzerland.

关键词： Automatic guided vehicles

来源：评论

学校读者我要写书评

暂无评论

On the simulation of expressional animation based on facial MoCap

引用

Science China(Information Sciences) 2013年第10期56卷 265-276页

作者： FANG XiaoYong WEI XiaoPeng ZHANG Qiang ZHOU ChangJun Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education School of Management Dalian University of Technology

MoCap(motion capture)-based animation is a hot issue in computer animation research *** on the optical MoCap system,this paper proposes a novel cross-mapping based facial expression simulating *** overcome the problem of the false upper and lower jaw correlation derived from the facial global RBFbased cross-mapping method,we construct a functional partition based RBF cross-mapping *** model animating,enhanced markers are added and animated by our proposed skin motion *** addition,based on the enhanced markers,an improved RBF-based animating approach is raised to derive realistic facial *** more,a pre-computing algorithm is presented to reduce computational cost for real-time *** experiments proved that the method can not only map the MoCap data of one subject to diferent personalized faces but generate realistic facial animation.

关键词： facial animation cross-mapping functional partition motion mechanism RBF

来源：评论

学校读者我要写书评

暂无评论

Scattered data processing approach based on optical facial motion capture

引用

Applied Bionics and Biomechanics 2013年第2-3期10卷 75-87页

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

In recent years, animation reconstruction of facial expressions has become a popular research field in computer science and motion capture-based facial expression reconstruction is now emerging in this field. Based on the facial motion data obtained using a passive optical motion capture system, we propose a scattered data processing approach, which aims to solve the common problems of missing data and noise. To recover missing data, given the nonlinear relationships among neighbors with the current missing marker, we propose an improved version of a previous method, where we use the motion of three muscles rather than one to recover the missing data. To reduce the noise, we initially apply preprocessing to eliminate impulsive noise, before our proposed three-order quasi-uniform B-spline-based fitting method is used to reduce the remaining noise. Our experiments showed that the principles that underlie this method are simple and straightforward, and it delivered acceptable precision during reconstruction. © 2013 - IOS Press and the authors. All rights reserved.

关键词： Noise abatement

来源：评论

学校读者我要写书评

暂无评论

Plant growth simulation algorithm for solving bilevel symbiosis optimization between manufacturing enterprise and logistics enterprise

引用

ICIC Express Letters 2014年第2期8卷 629-636页

作者： Li, Tong Jiang, Yufei Chen, Chouyong Ji, Tongcai Management College Hangzhou Dianzi University No. 2 St Hangzhou 310018 China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu St. Jinzhou New District Dalian 116622 China

An intelligence optimization algorithm for solving nonlinear bilevel programming is proposed herein. In this algorithm, the upper solution space and lower reaction set of bilevel programming are looked as two growth environments of plants. Then the plant system evolution style based on growth regulation and the probability growth model based on plant phototropism theory are established. The optimization model combined with above two has realized the evolution of artificial plant from initial status to whole final status (that means no new branch growing), thus the optimal solutions of bilevel programming can be found. The algorithm herein shows its high accuracy and strong astringency. This article solves the problem of bilevel symbiosis optimization between manufacturing enterprise and logistics enterprise by using this algorithm, and the result shows that Plant Growth Simulation Algorithm (PGSA) has good effectiveness and feasibility. © 2014 ISSN 1881-803X.

关键词： Optimization

来源：评论

学校读者我要写书评

暂无评论

Face recognition based on independent component analysis image reconstruction and linear discriminant analysis

引用

ICIC Express Letters 2014年第9期8卷 2457-2462页

作者： Zhou, Changjun Wang, Lan Lv, Ling Zheng, Xuedong Wei, Xiaopeng Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu Street Jinzhou Xinqu Dalian 116622 China Department of Mechanical Engineering Dalian Institute of Science and Technology No. 999-26 Bingang Road Lvshun District Dalian 116052 China

Independent Component Analysis (ICA) and Linear Discriminant Analysis (LDA) are two conventional methods in feature extraction. In this paper, we propose a novel face recognition method which is based on ICA image reconstruction, LDA and SVM. Firstly, we use the inner-classes covariance matrix as generating matrix, and then we can obtain eigenvectors from each person and the reconstructed images through ICA method. Secondly, the residual images are computed by subtracting reconstructed images from original face images. Furthermore, the residual images are applied by LDA to obtain the coefficient matrices. Finally, the features are utilized to train and test SVMs for face recognition. The experimental results on the ORL face database are presented to demonstrate the efficacy of the proposed method. © 2014 ISSN 1881-803X.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：