检索结果-内蒙古大学图书馆

International Colloquium on Signal Processing & Its Applications, CSPA

作者： Mohd Azri Abdul Aziz Mohd Nasir Taib Naimah Mohd Hussin Depanment of System Engineering Universiti Teknologi MARA Shah Alam Selangor Malaysia Computer Science Department Universiti Teknologi MARA Perlis Arau Perlis MALAYSIA

Local optima in optimization problems describes a state where no small modification of the current best solution will produce a solution that is better. This situation will make the optimization algorithm unable to find a way to global optimum and finally the quality of the generated solution is not as expected. This paper proposes an assignment acceptance strategy in a Modified PSO Algorithm to elevate local optima in solving class scheduling problems. The assignments which reduce the value of objective function will be totally accepted and the assignment which increases or maintains the value of objective function will be accepted based on acceptance probability. Five combinations of acceptance probabilities for both types of assignments were tested in order to see their effect in helping particles moving out from local optima and also their effect towards the final penalty of the solution. The performance of the proposed technique was measured based on percentage penalty reduction (%PR). Five sets of data from International Timetabling Competition were used in the experiment. The experimental results shows that the acceptance probability of 1 for neutral assignment and 0 for negative assignments managed to produce the highest percentage of penalty reduction. This combination of acceptance probability was able to elevate the particle stuck at the local optima which is one of the unwanted situations in solving optimization problems.

关键词： Scheduling algorithm Signal processing algorithms Particle swarm optimization Application software Processor scheduling systems engineering and theory computer science Testing Performance analysis Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

The Minimum Principle for Hybrid systems with Partitioned State Space and Unspecified Discrete State Sequence

The Minimum Principle for Hybrid Systems with Partitioned St...

引用

2010 49th IEEE Conference on Decision and Control

作者： Benjamin Passenberg Peter E. Caines Marion Sobotka Olaf Stursberg Martin Buss Institute of Automatic Control Department of Electrical Engineering and Information Technology Technische Universitat Munchen Munchen Germany Department of Electrical and Computer Engineering and the Center for Intelligent Machines McGill University Montreal Canada Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9781424477456

The hybrid minimum principle (HMP) gives necessary conditions to be satisfied for optimal solutions of a hybrid dynamical system. In particular, the HMP accounts for autonomous switching between discrete states that occurs whenever the trajectory hits switching manifolds. In this paper, the existing HMP is extended for hybrid systems with partitioned state space to provide necessary conditions for optimal trajectories that pass through an intersection of switching manifolds. This extension is especially useful for the numerical solution of hybrid optimal control problems as it allows for algorithms with significant reduction of computational complexity. Algorithms based on previous versions of the HMP solve separate optimal control problems for each possible sequence of discrete states. The extension enables us to consider the optimal sequence as subject of optimal control that is varied and finally determined during a single optimization run. A first numerical result illustrates the effectiveness of an algorithm based on the extended HMP.

关键词： state space minimum principle hybrid systems Manifolds Optimal control DYNAMICAL systemS discrete element

来源：评论

学校读者我要写书评

暂无评论

An Algorithm for Discrete State Sequence and Trajectory Optimization for Hybrid systems with Partitioned State Space

An Algorithm for Discrete State Sequence and Trajectory Opti...

引用

2010 49th IEEE Conference on Decision and Control

作者： Benjamin Passenberg Marion Sobotka Olaf Stursberg Martin Buss Peter E. Caines Institute of Automatic Control Department of Electrical Engineering and Information Technology Technische Universitat Munchen Munchen Germany Institute of Control and System Theory Department of Electrical Engineering and Computer Science University of Kassel Kassel Germany Department of Electrical and Computer Engineering and the Center for Intelligent Machines McGill University Montreal Canada

ISBN: (纸本)9781424477456

An algorithm for hybrid optimal control is proposed that varies the discrete state sequence based on gradient information during the search for an optimal trajectory. The algorithm is developed for hybrid systems with partitioned state space. It uses a version of the hybrid minimum principle that allows optimal trajectories to pass through intersections of switching manifolds, which enables the algorithm to vary the sequence. Consequently, the combinatorial complexity of former algorithms can be avoided, since not each possible sequence has to be investigated separately anymore. The convergence of the algorithm is proven and a numerical example demonstrates the efficiency of the algorithm.

关键词： Switches Manifolds Trajectory Complexity theory Partitioning algorithms Convergence Aerospace electronics

来源：评论

学校读者我要写书评

暂无评论

Color component feature selection in feature-level fusion based color face recognition

Color component feature selection in feature-level fusion ba...

引用

IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Seung Ho Lee Jae Young Choi Konstantinos N. Plataniotis Yong Man Ro Image and Video System Laboratory Korea Advanced Institute of Science and Technology Daejeon South Korea School of Computer Science Ryerson University Toronto ONT Canada Department of Electrical and computer Engineering University of Toronto Toronto ONT Canada

In this paper, we propose a new color face recognition (FR) method which effectively employs feature selection algorithm in order to find the set of optimal color components (from various color models) for FR purpose. The proposed FR method is also designed to improve FR accuracy by combining the selected color components at the feature level. The effectiveness of the proposed color FR method has been successfully demonstrated using two public CMU-PIE and Color FERET face databases (DB). In our comparative experiments, traditional grayscale-based FR, previous color-based FR, and popular local binary pattern (LBP) based FR methods were compared with the proposed method. Experimental results show that our color FR method performs better than the aforementioned three different FR approaches. In particular, the proposed method can achieve 7.81% and 18.57% improvement in FR performance on the CMU-PIE and Color FERET DB, respectively, compared to representative color-based FR solutions previously developed.

关键词： Image color analysis Face Classification algorithms Lighting Feature extraction Principal component analysis Optimized production technology

来源：评论

学校读者我要写书评

暂无评论

A detailed design model based on trust chain for seam tracking system of gas metal arc welding

A detailed design model based on trust chain for seam tracki...

引用

International Conference on Information science and engineering (ICISE)

作者： Jing Li Yi Zhuang Fang Li Wei Zhu XiongJian Liao Min Zhang Department of Computer Science& Engineering Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu China Industrial Robot Research Center Industrial Technology and Research Institute Kunshan Jiangsu China Huaheng Welding Equipment and Technical Company Limited Kunshan Jiangsu China

Software development process is the most important part of software project management, and the detailed design model is an important mean of implementing the software process in any software development process. Different to other software process, the optical seam tracking system based on CCD for root pass pipe welding of gas metal arc welding has its special characteristics. We need a system which perhaps can not attain accurate measurement, but must concludes correct calculation, then drive the torch to the center of the groove. Our research proposes some quality improvements in existing software engineering process models through the application of trusted transitive chain. Divide the system into several modules and create the trusted transitive chain, design a kind of integrity measurement of each module, only if the pre-condition is trustworthy, the module has a chance to do next action. The experimental results show the better tracking results.

关键词： Welding Software Feature extraction Robot sensing systems Charge coupled devices Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Domino gate with modified voltage keeper

Domino gate with modified voltage keeper

引用

IEEE International Symposium on Quality Electronic Design

作者： Jinhui Wang Wuchen Wu Na Gong Ligang Hou VLSI and System Laboratory Beijing University of Technology Beijing China Department of Computer Science and Engineering State University of New York University at Buffalo Buffalo NY USA

ISBN: (纸本)9781424464548

Using both the modified supply voltage and body voltage, an optimized keeper technique is presented in this paper to tradeoff the performance of domino OR gates. The simulation results show that the novel technique can highly improve power/speed efficiency and robustness to noise. In addition, because of employment of body biased voltage, the optimized keeper technique enables to minimize effect of the strong process parameter variation.

关键词： Noise robustness Energy consumption Circuit noise Low voltage Crosstalk Leakage current Immune system Logic arrays Logic circuits Very large scale integration

来源：评论

学校读者我要写书评

暂无评论

Using colour local binary pattern features for face recognition

Using colour local binary pattern features for face recognit...

引用

IEEE International Conference on Image Processing

作者： Jae Young Choi Konstantinos N. Plataniotis Yong Man Ro Image and Video System Laboratory Korea Advanced Institute of Science and Technology Daejeon South Korea Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada

In this paper, we propose a novel feature representation based on color-based Local Binary Pattern (LBP) texture analysis for face recognition (FR). The proposed method exploits both color and texture discriminative features of a face image for FR purpose. We evaluate the proposed feature using three public face databases: CMU-PIE, Color FERET, and XM2VTSDB. Experimental results show that the results of the proposed feature impressively better than the results of grayscale LBP and color features. In particular, it is shown that the proposed feature is highly robust against severe variations in illumination and spatial resolution.

关键词： Image color analysis Face Feature extraction Gray-scale Histograms Lighting Pixel

来源：评论

学校读者我要写书评

暂无评论

Two-phase Particle Swarm Optimization with Scale-free Network Model

Two-phase Particle Swarm Optimization with Scale-free Networ...

引用

International Conference on Computational Aspects of Social Networks, CASON

作者： Huaping Mu Changyi Jiao Jianchao Zeng Department of Electronic Information Engineering Hebi College of Vocation and Technology Hebi China Division of System Simulation and Computer Application Taiyuan University of Science and Technology Taiyuan China

Enlightened by the properties of scale-free network model, BA model is extended and introduced into particle swarm optimization, and a novel two-phase particle swarm optimization with scale-free network model (TPSO-SNM) is proposed. At the early stages of the algorithm, particles are randomly distributed in a ring, new particles are continuously added into the structure based on the node degree and the distance between nodes. At the same time, the global optimum in evolution equation is substituted with the average optimal location in neighborhood. Simulation results show that the new method has better ability to find the global optimum solution.

关键词： Particle swarm optimization Heuristic algorithms Convergence Computational modeling Mathematical model Simulation Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Identifying machine query for an intelligent web browser system

Identifying machine query for an intelligent web browser sys...

引用

IEEE Symposium on Web Society, SWS

作者： Tingshao Zhu Xinguo Xu Guohua Liu Chinese Academy and Sciences Beijing China National Computer System Engineering Research Institute of China Beijing China Department of Computing Science University of Alberta Edmonton Canada

This paper describes our research on learning browsing behavior model for predicting the current information need of a web user. This inference is based on a parameterized model of how the sequence of browsing behavior indicates the degree to which page content satisfies the user's information need, and the model parameters can be estimated using standard methods from a labelled corpus. Data from lab experiments demonstrate that the prediction model can effectively identify the information needs of new users, browsing previously unseen pages. The paper concludes with an overview of our WebIC which integrates the model into a web browser, to help the user find the relevant information effectively from the web.

关键词： Search engines Predictive models Training Feature extraction Data models Browsers Testing

来源：评论

学校读者我要写书评

暂无评论

Mining Hierarchical Decision Rules from Hybrid Data with Categorical and Continuous Valued Attributes

引用

浙江海洋学院学报（自然科学版） 2010年第5期29卷 420-427页

作者： MIAO Duo-qian QIAN Jin LI Wen ZHANG Ze-hua Department of Computer＇Science and Technology Tongji University Shanghai 201804 China College of Computer Engineering Jiangsu Teachers University of Technology Changzhou 213015 China Key Laboratory of Embedded System and Service Computing Ministry of Education of China Tongji University Shanghai 201804 China

Decision rules mining is an important issue in machine learning and data ***,most proposed algorithms mine categorical data at single level,and these rules are not easily understandable and really useful for ***,a new approach to hierarchical decision rules mining is provided in this paper,in which similarity direction measure is introduced to deal with hybrid *** approach can mine hierarchical decision rules by adjusting similarity measure parameters and the level of concept hierarchy trees.

关键词： Similarity relation Attribute reduction Hierarchical decision rules Hybrid data

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：