检索结果-内蒙古大学图书馆

Congress on Evolutionary Computation

作者： Luyi Wang Hiroyuki Ishida Tomoyuki Hiroyasu Mitsunori Miki Department of Knowledge Engineering and Computer Science Doshisha University Japan

A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these methods involve probabilistic algorithms, there is no guarantee that the global search will be conducted in the design variable space. In such cases, there are unsearched areas in the design variable space, and the obtained Pareto solutions may not be truly optimal. In this paper, we propose an optimization method called NSDIRECT-GA to conduct a global search over the design variable space as much as possible, which improves the reliability of the obtained Pareto solutions. The effectiveness of NSDIRECT-GA was examined through numerical experiments. NSDIRECT-GA can obtain not only Pareto solutions, but also grasp the landscape of the search space, which results in higher reliability of the obtained solutions compared to MOGAs.

关键词： Optimization Distance measurement Optimization methods Algorithm design and analysis Reliability Reliability engineering Evolutionary computation

来源：评论

学校读者我要写书评

暂无评论

Clonal Selection Based Memetic Algorithm for Job Shop Scheduling Problems

引用

Journal of Bionic engineering 2008年第2期5卷 111-119页

作者： Jin-hui Yang Liang Sun Heow Pueh Lee Yun Qian Yan-chun Liang College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Changchun 130012 P. R. China Institute of High Performance Computing Singapore 117528 Singapore Department of Mechanical Engineering National University of Singapore Singapore 117576 Singapore Institute of Electric and Information Engineering Beihua University Jilin 13202 l P. R. China

A clonal selection based memetic algorithm is proposed for solving job shop scheduling problems in this paper. In the proposed algorithm, the clonal selection and the local search mechanism are designed to enhance exploration and exploitation. In the clonal selection mechanism, clonal selection, hypermutation and receptor edit theories are presented to construct an evolutionary searching mechanism which is used for exploration. In the local search mechanism, a simulated annealing local search algorithm based on Nowicki and Smutnicki＇s neighborhood is presented to exploit local optima. The proposed algorithm is examined using some well-known benchmark problems. Numerical results validate the effectiveness of the proposed algorithm.

关键词： job shop scheduling problem clonal selection algorithm simulated annealing global search local search

来源：评论

学校读者我要写书评

暂无评论

Experiments with english-Persian text retrieval

Experiments with english-Persian text retrieval

引用

2nd ACM Workshop on Improving Non English Web Searching, iNEWS'08, Co-located with the 17th ACM Conference on Information and knowledge Management, CIKM 2008

作者： AleAhmad, Abolfazl Amiri, Hadi Rahgozar, Masoud Oroumchian, Farhad Database Research Group School of Electrical and Computer Engineering University of Tehran North Kargar St. Tehran Iran Department of Computer Science University of Wollongong in Dubai Knowledge Village Dubai United Arab Emirates

ISBN: (纸本)9781605584164

As the number of non-English documents is increasing dramatically on the web nowadays, the study and design of information retrieval systems for these languages is very important. The Persian language is the official language of Iran, Afghanistan and Tajikistan and is also spoken in some other countries in the Middle East, so there are significant amount of Persian documents available on the web. In this study, we will present and compare our English-Persian cross language text retrieval experiments on Hamshahri text collection. Also, we will present Combinatorial Translation Probability (CTP) calculation method for query translation that estimates translation probabilities based on the collection itself. Copyright 2008 ACM.

关键词： Information retrieval systems

来源：评论

学校读者我要写书评

暂无评论

STAN: Social, trusted annotation network

引用

3rd Asian Semantic Web Conference, ASWC 2008

作者： Namgoong, Hyun Yang, Kyoung-Mo Yang, Sung-Kwon Borchert, Charles Kim, Hong-Gee Biomedical Knowledge Engineering Lab. Seoul National University Seoul Korea Republic of Department of Computer Science Frank.Holzwarth SunMoon University Asan Chungnam Korea Republic of

ISBN: (纸本)3540897038

Annotated data play an important role in enhancing the usability of information resources. Single users can be easily frustrated by the task of annotating. Collaborative approaches to annotation have been applied to web resources, but have not yet been applied to the task of local documents, due in part to the lack of a uniform identification method. In this paper, we use hash-based virtual URIs for identifying documents, and introduce the concept of a STAN (Social, Trusted Annotation Network), which enables collaborative annotation of documents through their URIs. STAN also incorporates quantitative trust rates between users in social networks based on their interactions with each other. The STAN framework is described, demonstrating how these trust networks are constructed through collaborative annotation. Finally, we evaluate the usefulness of collaborative annotation and the feasibility of the resulting trust rates through empirical experiment. © 2008 Springer Berlin Heidelberg.

关键词： Semantic Web

来源：评论

学校读者我要写书评

暂无评论

Translating query for deep web using ontology

Translating query for deep web using ontology

引用

International Conference on computer science and Software engineering, CSSE 2008

作者： Hao, Hang Wanli, Zuo Fei, Ren Junhua, Wang College of Computer Science and Technology Jilin University Department of Information Science and Technology Changchun Taxation College Changchun 130117 China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China

ISBN: (纸本)9780769533360

The E-commerce information on the Surface Web is supported by the Deep Web, which can not be accessed directly by the search engines or the web crawlers. The only way to access the backend database is through query interface. Extracting valid attributes from the query forms and automatic translating the source query into a target query is a solvable way for addressing the current limitations in accessing Deep Web data sources. To generate a valid query, we have to reconcile the key attributes and their semantic relation. We present our framework to solve the problem. To enrich the set of attributes contained in the semantic form, we use the WordNet as kinds of ontology technique and we try to find the semantic relation of the attributes in the same query from and different forms. Extensive experiments over real-word domains show the utility of our query translation framework. © 2008 IEEE.

关键词： Ontology

来源：评论

学校读者我要写书评

暂无评论

IEEE Transactions on Haptics: Editorial

引用

IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

No abstract available

关键词：

来源：评论

学校读者我要写书评

暂无评论

Feature Exploration for Mining Coronal Loops from Solar Images

Feature Exploration for Mining Coronal Loops from Solar Imag...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Nurcan Durak Olfa Nasraoui Knowledge Discovery & Web Mining Laboratory Department of Computer Engineering and Computer Science University of Louisville USA

Coronal loops are especially important in analyzing some important phenomena related to the Sun such as the controversial coronal heating problem. The analysis requires astrophysicists to manually sift through thousands of images in order to acquire images containing coronal loops. Thus, the motivation to detect these loops automatically. Since coronal loops do not have a perfect shape and are easy to confuse with other solar events, feature selection to learn characteristics of loops requires special care. In this study, we explore standard image features as well as specialized image features considering coronal loop characteristics. Our experiments confirm the success of our explored features in coronal loop detection.

关键词： Shape Image analysis Sun Image retrieval Tomography Feature extraction Noise shaping Data mining Artificial intelligence Web mining

来源：评论

学校读者我要写书评

暂无评论

An Incremental Hough Transform for Detecting Ellipses in Image Data Streams

An Incremental Hough Transform for Detecting Ellipses in Ima...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Sofiane Sellah Olfa Nasraoui Knowledge Discovery & Web Mining Laboratory Department of Computer Engineering & Computer Science University of Louisville USA

In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Transform (RHT) to compute the curve parameters from sampled image points and uses a density-based robust stream clustering algorithm to discover the potential parameters from the Hough space. Finally we apply density and similarity tests to eliminate weak and redundant candidates. Being totally incremental, and not requiring the typically huge memory costs of Hough accumulator arrays or image pixels, our method reduces the number of computations performed and the memory used. The proposed method is tested on both synthetic and real images, including solar images captured by various instruments onboard NASA and ESA satellites.

关键词： Streaming media Clustering algorithms Testing Shape Robustness Costs Pixel Instruments NASA Satellites

来源：评论

学校读者我要写书评

暂无评论

Power conservation for strongly connected topology control in wireless sensor network

Power conservation for strongly connected topology control i...

引用

1st ACM International Workshop on Foundations of Wireless Ad Hoc and Sensor Networking and Computing 2008, FOWANC'08

作者： Li, Deying Du, Hongwei Chen, Wenping School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering Beijing 100872 China Department of Computer Science City University of Hong Kong Kowloon Hong Kong School of Information Renmin University of China Beijing 100872 China

ISBN: (纸本)9781605581491

Topology control is one of the most elementary topics in wireless sensor networks. Typically, most of the research only considered the bidirectional communication and symmetric weighted communication model, while the real wireless world contains not only bidirectional but also unidirectional communication links and asymmetric weighted communication model. In this paper, we present two heuristics for the minimum power topology control problem on general model, i.e., given a set of sensors in the Euclidean plane and a transmission power threshold for each directed pair of sensors, to find a power assignment for each sensor to achieve a strong connectivity with minimum total transmission power. Extensive results in simulation evaluate the efficiency of the proposed algorithms. Copyright 2008 ACM.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Semantic Information Retrieval for Personalized E-Learning

Semantic Information Retrieval for Personalized E-Learning

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Leyla Zhuhadar Olfa Nasraoui Knowledge Discovery and Web Mining Laboratory Department of Computer Engineering and Computer Science University Of Louisville Louisville KY USA

We present an approach for personalized retrieval in an e-learning platform, that takes advantage of semantic Web standards to represent the learning content and the user/learner profiles as ontologies, and that re-ranks search results/lectures based on how the contained terms map to these ontologies. One important aspect of our approach is the combination of an authoritatively supplied taxonomy by the colleges, with the data driven extraction (via clustering) of a taxonomy from the documents themselves, thus making it easier to adapt to different learning platforms, and making it easier to evolve with the document/lecture collection. Our experimental results show that the learner's context can be effectively used for improving the precision and recall in e-learning content retrieval, particularly by re-ranking the search results based on the learner's past activities.

关键词： Information retrieval Electronic learning Educational institutions Ontologies Content based retrieval Semantic Web Web mining knowledge engineering computer science Taxonomy

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：