检索结果-内蒙古大学图书馆

Convergence analysis and application of the central force optimization algorithm

Science China(information Sciences) 2015年第5期58卷 208-210页

作者： MENG Chao GONG Jing LIU SanMin SUN ZhiXin Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsMinistry of Education College of Mathematics & Physics Nanjing University of Posts and Telecommunications College of Computer and Information Anhui Polytechnic University

Dear editor,The Central Force Optimization(CFO)[1]is a new heuristic *** contrast with the stochastic algorithms such as Particle Swarm Optimization(PSO)[2],Ant Colony Optimization[3]and other such algorithms[4–6],CF... 详细信息

关键词： CFO Convergence analysis and application of the central force optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Point cloud coarse matching method for similar objects

引用

ICIC Express Letters 2016年第9期10卷 2283-2289页

作者： Zhao, Qiang Guo, Xijuan Zhang, Buying Bai, Xinyu Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave. Qinhuangdao066004 China College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao066004 China Technical Center Shenyang Aircraft Corporation Shenyang110850 China

Point cloud matching is much more difficult when an initial estimate of the relative pose is not known. In order to reduce the effect of relative pose on matching operation and improve the computing speed, this article presents a method to fast match the pose of two similar objects through the covariance of their point cloud coordinates. This paper contains three parts. In the first part, a matrix is constructed through the values of point coordinates of one object and then a set of orthogonal vectors will be obtained through eigenvector of the matrix. Rotation matrix will be obtained by comparing the vectors of two similar objects. In the second part, a description of procedures is given and the complexity of the algorithm is analyzed. In the last part, the experiment shows the proposed method has high computing efficiency and the matching results are acceptable. © 2016 ICIC International.

关键词： Covariance matrix

来源：评论

学校读者我要写书评

暂无评论

Background modeling methods in video analysis： A review and comparative evaluation

引用

CAAI Transactions on Intelligence Technology 2016年第1期1卷 43-60页

作者： Yong Xu Jixiang Dong Bob Zhang Daoyun Xu Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology 518055 Shenzhen China Shenzhen Key Laboratory of Network Oriented Intelligent Computation Shenzhen China Department of Computer and Information Science University of Macao Avenida da Universidade Taipa Macao China The College of Computer Science and Technology Guizhou University Guiyang 550025 Guizhou China

Foreground detection methods can be applied to efficiently distinguish foreground objects including moving or static objects from back- ground which is very important in the application of video analysis, especially video surveillance. An excellent background model can obtain a good foreground detection results. A lot of background modeling methods had been proposed, but few comprehensive evaluations of them are available. These methods suffer from various challenges such as illumination changes and dynamic background. This paper first analyzed advantages and disadvantages of various background modeling methods in video analysis applications and then compared their performance in terms of quality and the computational cost. The Change *** （CDnet2014） dataset and another video dataset with different envi- ronmental conditions （indoor, outdoor, snow） were used to test each method. The experimental results sufficiently demonstrated the strengths and drawbacks of traditional and recently proposed state-of-the-art background modeling methods. This work is helpful for both researchers and engineering practitioners. Codes of background modeling methods evaluated in this paper are available ***/***.

关键词： Background modeling Video analysis Comprehensive evaluation

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Library Books Search and Management System Using RFID Technology

Design and Implementation of Library Books Search and Manage...

引用

International Conference on Intelligent networking and Collaborative Systems (INCOS)

作者： Haiming Cheng Ling Huang He Xu Yifan Hu Xu An Wang School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks College of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China Key Laboratory of Information and Network Security Engineering University of Chinese Armed Police Force Xi'an China

Radio Frequency Identification technology (RFID) is the key technology to realize the Internet of things. Currently, using RFID to locate objects indoor is a hot topic in the research on the application of RFID. In this paper, we propose an RFID system based on RFID technology and Wi-Fi wireless communication technology. And we design a corresponding handheld device client software to realize a visual book search and management system. This system can not only greatly improve the efficiency of book search and management but also save the manpower and material resources to a large extent, which has a practical application value.

关键词： Collaboration

来源：评论

学校读者我要写书评

暂无评论

Tensor object classification via multilinear discriminant analysis network

Tensor object classification via multilinear discriminant an...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Rui Zeng Jiasong Wu L. Senhadji Huazhong Shu LIST Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education Nanjing 210096 China

ISBN: (纸本)9781467369985

This paper proposes an multilinear discriminant analysis network (MLDANet) for the recognition of multidimensional objects, knows as tensor objects. The MLDANet is a variation of linear discriminant analysis network (LDANet) and principal component analysis network (PCANet), both of which are the recently proposed deep learning algorithms. The MLDANet consists of three parts: 1) The encoder learned by MLDA from tensor data. 2) Features maps obtained from decoder. 3) The use of binary hashing and histogram for feature pooling. A learning algorithm for MLDANet is described. Evaluations on UCF11 database indicate that the proposed MLDANet outperforms the PCANet, LDANet, MPCA+LDA, and MLDA in terms of classification for tensor objects.

关键词： Deep learning LDANet MLDANet PCANet tensor object classification

来源：评论

学校读者我要写书评

暂无评论

The design and implementation of network attack and defense platform based on cloud desktop

引用

Journal of Physics: Conference Series 2017年第1期887卷

作者： Zining Yan Yunhan Wang Shijiao Shao Boquan Li Embedded System Lab. College of Computer Science and Technology Harbin China Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences Key Laboratory of Network Assessment of Technology Chinese Academy of Sciences Beijing China

This paper discusses the cloud desktop technology, virtualization technology and penetration testing technology used in the network attack and defense training platform, and introduces the design and implementation process of the network attack and defense training platform. This paper focuses on the cloud desktop construction scheme based on B/S structure, and aims to enhance the flexibility and convenience of network attack and defense training platform.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Alternative multiplicative iterative method for projection matrix design in compressive images

International Journal of Signal Processing, Image Processing...

引用

International Journal of Signal Processing, Image Processing and Pattern Recognition 2016年第9期9卷 357-368页

作者： Shujuan, Tian Xiaoping, Fan Jingxiong, Xie Zhetao, Li Youngjune, Choi Hiroo, Sekiya School of Information Science and Engineering Central South University Changsha410075 China The College of Information Engineering Xiangtan University Xiangtan411105 China Key Laboratory of Intelligent Computing & Information Ministry of Education Xiangtan University Xiangtan411105 China Department of Information and Computer Engineering Ajou University Suwon443749 Korea Republic of Graduate School of Advanced Integration Science Chiba University Chiba263-8522 Japan

Projection matrix plays an important role in compressive sensing (CS). Small mutual coherence between a projection matrix and a sparsijying matrix is considered to enhance reconstruction performance in CS. The equiangular tight frame (ETF) was demonstrated with minimum mutual coherence in previous works. However, ETF does not exist for any dimensions. A practical solution is to make the production of a projection matrix and a sparsijying matrix become the nearest one to ETF. Here, the optimization objective is regarded as the minimization of error between them. First, a maximum-likelihood estimation model is presented to crack the minimization problem. Then an alternative multiplicative iteration method is employed to guarantee that the error will converge to the minimum efficiently. Experimental results show that the proposed method obtains smaller mutual coherence with better reconstruction performance compared to existing methods. © 2016 SERSC.

关键词： Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

Mining critical nodes in software execution network based on complex network

引用

ICIC Express Letters, Part B: Applications 2016年第9期7卷 1879-1884页

作者： Wang, Lei Dong, Jun Ren, Jiadong College of Information Science and Engineering Yanshan University No. 360 Hebei Ave Qinhuangdao066004 China E & A College Hebei Normal University of Science and Technology No. 360 Hebei Ave Qinhuangdao066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province No. 438 Hebei Ave Qinhuangdao066004 China

It is significant for measuring the importance of nodes accurately to improve software stability and robustness in software network. A software execution directed network takes function as a node and relationship of function as an edge in this paper. To nd the critical nodes in the network, a novel method is proposed to measure the nodes' importance by means of depth search mining in software execution. According to the principle of cascading failure, a novel critical nodes metrics FID is dened for nodes measuring and sorting. Critical nodes mining (CNM) algorithm is put forward for calculating FID value of each node and sorting. We choose top-ranking nodes as critical nodes which play an important role in software execution process. Experimental results show that CNM algorithm can measure the critical nodes accurately in software network. © 2016 ICIC International.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Tensor object classification via multilinear discriminant analysis network 40

Tensor object classification via multilinear discriminant an...

引用

40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Zeng, Rui Wu, Jiasong Senhadji, Lotfi Shu, Huazhong LIST Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing China INSERM U 1099 Rennes France Laboratoire Traitement du Signal et de l'Image Universit de Rennes 1 Rennes France France

ISBN: (纸本)9781467369978

关键词： Deep learning LDANet MLDANet PCANet tensor object classification

来源：评论

学校读者我要写书评

暂无评论

Multi-path SDN route selection subject to multi-constraints 3

Multi-path SDN route selection subject to multi-constraints

引用

3rd International Conference on Cyberspace Technology, CCT 2015

作者： Pan, Qingfeng Zheng, Xianghan College of Mathematics and Computer Science Fuzhou University Fuzhou350108 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou350108 China

ISBN: (纸本)9781785610899

Multi-constrained optimal routing problem and disjoint path selection are NP-hard problem. The conventional single-path and single constraint routing can not meet people's needs. The reliability of network data transmission and packet loss rate can be decreased when the route or the transmission fails. To solve the problems, we need to study the routing path selection strategies. This paper optimizes the routing path that meets the QoS constraints under the SDN pre planning routing, and proposes a routing mechanism that can solve problems in polynomial time. Firstly, the paper combined with Clustering and Gauss algorithm to simulate the network simulation, obtain the initial experimental data. It can reflect the network status more accurately. Secondly, simplify the multi-objectives based on the AHP, It reduces the complexity of the problem and meets QoS requirements. Finally, select the disjoint communication paths and backup paths with the heuristic algorithms in order to balance the load of network and improve the transmission reliability. The selection mechanism can improve the efficiency of data transmission, and the survival of network communication.

关键词： Heuristic algorithms

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：