检索结果-内蒙古大学图书馆

3rd International Conference on Information Computing and Applications, ICICA 2012

作者： Zeng, Jinquan Tang, Weiwen Liu, Caiming Hu, Jianbin Peng, Lingxi School of Computer Science and Engineering University of Electronic Science and Technology of China 610054 Chengdu China Sichuan Communication Research Planning and Designing Co. Ltd. 610041 Chengdu China Laboratory of Intelligent Information Processing and Application Leshan Normal University 614004 Leshan China School of Electronics and Information Nantong University 226019 Nantong China Department of Computer and Education Software Guangzhou University 510006 Guangzhou China

ISBN: (纸本)9783642340611

Negative selection algorithm (NSA) generates the detectors based on the self space. Due to the drawbacks of the current representation of the self space in NSAs, the generated detectors cannot enough cover the non-self space and at the same time, cover some of the self space. In order to overcome the drawbacks, a new scheme of the representation of the self space is introduced with variable-sized self radius, which is called VSRNSA. Using the variable-sized self radius to represent the self space, we can generate the more quality detectors. The algorithm is tested using the well-known real world datasets;preliminary results show that the new approach enhances NSAs in increasing detection rates and decrease false alarm rates, and without increase in complexity. © 2012 Springer-Verlag.

关键词： computers

来源：评论

学校读者我要写书评

暂无评论

An Embedded Co-AdaBoost and Its Application in Classification of software Document Relation

An Embedded Co-AdaBoost and Its Application in Classificatio...

引用

International Conference on Semantics, Knowledge and Grid (SKG)

作者： Jin Liu Juan Li Yuan Xie Jeff Lei Qiping Hu State Key Laboratory of Software Engineering Computer School Wuhan University China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation CAS China Department of Computer Science and Engineering University of Texas Arlington USA International School of Software Wuhan University China

To enhance classification performance by making use of easily available unlabelled data to overcome the scarcity of labelled data, this paper proposes an Embedded Co-Adaboost algorithm that integrates multi-view learning into the Adaboost learning framework and at the same time leverages the advantages of Co-training algorithm for performance enhancement. Experimental results demonstrate the effectiveness of the proposed algorithm in terms of the convergence rate, the accuracy, and the steady performance as compared to the original AdaBoost algorithm, without relying on redundant and sufficient feature sets. As a algorithm application in software engineering, the Embedded Co-AdaBoost has been applied to the classification of software document relations to improve the quality of the architecture design documents and the reusability of design knowledge.

关键词： Classification algorithms Training software Accuracy Partitioning algorithms software algorithms Convergence

来源：评论

学校读者我要写书评

暂无评论

MULTI-FOCUS IMAGE FUSION ALGORITHM BASED ON NSCT

MULTI-FOCUS IMAGE FUSION ALGORITHM BASED ON NSCT

引用

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Yahao Yan Junping Du Qingping Li Min Zuo JangMyung Lee Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer ScienceBeijing University of Posts and Telecommunications School of Computer and Information Engineering Beijing Technology and Business University Department of Electronics Engineering Pusan National University

This paper is aimed at the problem of Multifocus image fusion for the same scene and has proposed a multi-focus image fusion algorithm based on NSCT [1]（The Nonsubsampled Contourlet Transform）.NSCT is the sparse representation of a two-dimension piecewise smooth signals,not only satisfying the anisotropic scaling relation and having the multi-scale,multidirectional characteristics,and shift invariance,but also being able to accurately capture the image information of the contour feature and texture *** proposed algorithm,NSCT transform is first used to decompose source images at each scale and direction to get lowpass sub-band coefficients and band-pass directional sub-band ***,the fusion rule of weighted box-counting dimension is adopted in low-pass subband,as well as the fusion rule of local space frequency in band-pass directional ***,the NSCT inverse transform is employed to get the fused *** check experiment,our algorithm is proved to be simple and effective.

关键词： Image fusion NSCT transform Box-counting dimension Local space frequency

来源：评论

学校读者我要写书评

暂无评论

IMAGE SCALING METHOD BASED ON PROTECTED REGION

IMAGE SCALING METHOD BASED ON PROTECTED REGION

引用

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Lisha Hou Junping Du Lingling Zi Min Zuo Katsunori Shimohara Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer ScienceBeijing University of Posts and Telecommunications School of Computer and Information Engineering Beijing Technology and Business University Department of Information Systems Design Doshisha University

To solve the problem of seriously distortion while enlarging images via seam carving,we proposed an improved method in this ***,we enlarged the image with hierarchical interpolation model to the size of power of two times of original,which is closest to target size,while applying iterative curvature-based interpolation algorithm to protected areas and nearest interpolation to non-protected *** then,some seams to the target size were avoided via seam carving *** the subjective analysis and objective evaluation,the experiment on both standard library images and spatial images showed that the proposed method gave satisfactory results.

关键词： Image scaling ICBI Seam carving Protect region

来源：评论

学校读者我要写书评

暂无评论

STUDY AND IMPLEMENTATION OF PERSONALIZED SEARCHING SYSTEM BASED ON USER'S INTEREST MODEL

STUDY AND IMPLEMENTATION OF PERSONALIZED SEARCHING SYSTEM BA...

引用

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Xue Li Junping Du Lingling Zi Katsunori Shimohara Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer ScienceBeijing University of Posts and Telecommunications School of Electronic and Information Engineering Liaoning Technical University Department of Information Systems Design Doshisha University

The common personalized searching technology can neither make full use of features of domain knowledge,nor understand the user's special needs in this *** at solving this issue,this paper studies personalized searching technology combining the characteristics of *** tourism fields,this paper designs and realizes a user-based personalized searching system,and provides with its general framework and implementation of system *** tourism field knowledge database is firstly *** to the user's browsing history and personal information,this paper builds the user-interest model based on tourism areas,and then realizes the personalized information recommendation technology and information expanding *** results show that the information searching based on domain knowledge and tourism information achieves better results in recall rate,accuracy and recommend function than traditional searching engine.

关键词： Personalized searching Tourism area Regional weight Attractions priority

来源：评论

学校读者我要写书评

暂无评论

A memory enhanced DNSGA-II algorithm for dynamic multi-objective optimization

引用

ICIC Express Letters 2012年第7期6卷 1839-1844页

作者： Liu, Min Zeng, Wenhua Zhao, Jianfeng Cognitive Science Department Xiamen University Xiamen 361005 China Fujian Provincial Key Laboratory of Brain-Like Intelligent Systems Xiamen University Xiamen 361005 China Department of Computer Science and Engineering Zhangzhou Normal University No. 36 Xianqianzhi Street Zhangzhou 363000 China Software School Xiamen University Xiamen 361005 China

Although dynamic non-dominated sorting algorithm II (DNSGA-II) is a well-known dynamic evolutionary multi-objective optimization algorithm, it lacks memory ability. For this reason, we propose a memory enhanced DNSGA-II algorithm (denoted by DNSGA-II-DM). Specifically, a non-dominated set-based memory scheme (NSMS) is designed to reuse past useful information. In the NSMS, whenever there is an environmental change, a bunch of non-dominated individuals are stored into a memory pool by a sample procedure and a store procedure. The past optimal solutions stored in the memory pool are reused to rapidly respond to the new change by a retrieve procedure. In addition, a differential evolution operator is introduced as a new search engine to replace the original genetic operator of DNSGA-II. Simulation results on three benchmark test problems demonstrate that DNSGA-II-DM is able to converge better and find a better spread of solutions than DNSGA-II. © 2012 ICIC International.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

An improved real-valued negative selection algorithm for anomaly detection

引用

International Journal of Advancements in Computing Technology 2012年第16期4卷 453-459页

作者： Zeng, Jinquan Tang, Weiwen Liu, Caiming Hu, Jianbin Peng, Lingxi School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Sichuan Communication Research Planning and Designing Co. ltd Chengdu China Laboratory of Intelligent Information Processing and Application Leshan Normal University Leshan China School of Electronics and Information Nantong University Nantong China Department of Computer and Education Software Guangzhou University Guangzhou China

Conventional classification algorithms need samples for all classes (e.g. normal and abnormal) during the training phase. However, in many anomaly detection application, we can only get a class samples (commonly, normal samples) to train detectors. This paper presents an improved negative selection algorithm (NSA) and its applications to anomaly detection. This approach can only use normal samples to train detectors;at the same time, in order to overcome the drawbacks of the current representation of the self-space in NSAs, a new scheme of the representation of the self-space is introduced with variable-sized self-radius. In our experiments, this approach is tested using the wellknown real world datasets;preliminary results show that the new approach improves the overall performance of detectors and without increase in complexity.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Integrated Approach to Hypersonic Vehicle Modeling

Integrated Approach to Hypersonic Vehicle Modeling

引用

Chinese Control Conference

作者： Xiaofeng Su Yingmin Jia Junping Du Fashan Yu The Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Key Laboratory of Mathematics Informatics and Behavioral Semantics (LMIB) Ministry of Education SMSS Beihang University (BUAA) Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications School of Electrical Engineering and Automation Henan Polytechnic University

ISBN: (纸本)9781467325813

This paper is devoted to the modeling problem of hypersonic vehicle with significant couplings. An integrated approach is developed to analytically model the dynamics of hypersonic vehicle, in which the effects of variable mass, spherical rotating earth, and couplings among the sub-models are considered. Furthermore, a preliminary analysis is conducted using the general data of a hypersonic vehicle. The simulation results show that the maximum of the Coriolis force can reach values up to 7.02% of the vehicle weight, and that the thermal load determined by the nonuniform aerodynamic heating and the properties of the structure has a significant influence on the elastic deformation.

关键词： Hypersonic vehicle modeling Inertial dynamics Aerodynamics Elasticity Heating hypersonic vehicles Aerodynamics elasticity Coriolis force Vehicle weight Heating Couplings Thermal loading elastic deformation

来源：评论

学校读者我要写书评

暂无评论

Stochastic H_2 Optimal Control of Discrete-Time Markov Jump Systems with Periodic Coefficients

Stochastic H_2 Optimal Control of Discrete-Time Markov Jump ...

引用

American Control Conference

作者： Hongji Ma Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781457710957

In this paper, the H_2 optimal state-feedback control problem is investigated for discrete-time Markov jump systems subject to periodic coefficients and multiplicative noise. First of all, an exhaustive analysis is pursued to set up an H_2 performance criterion (H_2 norm), which can be characterized by the periodic solutions of two generalized Lyapunov equations. Based on the obtained H_2 norm, the H_2 optimal state-feedback controller is designed in terms of the stabilizing solution of a discrete-time generalized Riccati equation with periodic coefficients. Moreover, this stabilizing solution can be computed efficiently by the available iterative algorithm.

关键词： Markov processes Noise Educational institutions Riccati equations Optimal control

来源：评论

学校读者我要写书评

暂无评论

Lane Keeping Control for Autonomous 4WS4WD Vehicles Subject to Wheel Slip Constraint

Lane Keeping Control for Autonomous 4WS4WD Vehicles Subject ...

引用

American Control Conference

作者： Changfang Chen Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecom-munications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781457710957

This paper proposes a robust control scheme that prevents an autonomous 4WS4WD vehicle from lane departure and wheel skidding in presence of road curvature and aerodynamic drag. The control objectives can be specified as various closed-loop specifications, such as lane keeping, wheel slip constraint and disturbance attenuation. An LMI approach is used to deal with these objectives simultaneously, which combines the quadratic stabilization technique with constraints on inputs. Simulation results show that the proposed controller effectively limits the combined wheel slip and improves the lane keeping performance.

关键词： Wheels Vehicles Roads Tires Friction Aerodynamics Vehicle dynamics

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：