检索结果-内蒙古大学图书馆

Abstracts for the 6th Congress of Asian Sleep Research Society

Sleep and Biological Rhythms 2009年第4期7卷 A1-A49页

作者： Seog Ju Kim In Kyoon Lyoo Yu-Jin Lee Do-Un Jeong Hirohiko Kanai Masanori Ookubo Atsushi Yoshimura Masako Okawa Noto Yamada Takeshi Munezawa Yoshitaka Kaneita Yoneatsu Osaki Hideyuki Kanda Tadahiro Ohtsu Masumi Minowa Kenji Suzuki Susumu Hijuchi Hiroyuki Suzuki Takashi Ohida Takashi Abe Yoko Komada Shoichi Asaoka Yuichi Inoue Jin-Seong Lee Sang-Yong Cho Deependra Kumar Hruda N. Mallick Velayudhan M. Kumar Mahesh K. Kaushik Akihiro Karashima Noiihiro Katayama Mitsuyuki Nakao Ravindra P. Nagendra Sathiamma Sulekha Sathyaprabha T. Narasappa Pradhan Nityanadan Bindu M. Kutty M. Nirmala P. N. Ravindra Basavaraj Ramappa Tubaki T. N. Sathyaprabha D. Sudhakar G. S. Lavekar C. R. Chandrashekar Kazuyoshi Kitaoka Mika Shimizu Sachiko Chikahisa Kazuo Yoshizaki Hiroyoshi Sei Jong-Won Kim Misa Takegami Shin Yamazaki Yasuaki Hayashino Rei Ono Koji Otani Miho Sekiguchi Shinichi Konno Shunichi Fukuhara Antonia J. Jakobson Paul Fitzgerald Russell Conduit Xin Shirley Li Siu Ping Joyce Lam Wai Man Mandy Yu Yun Kwok Wing Kazue Okamoto-Mizuno Koh Mizuno Mituaki Yamamoto Shuichiro Shirakawa Hirokazu Doi Mikako Kato Kazuyuki Shinohara Masako Tamaki Shiori Matsuda Katsuo Yamazaki Tadao Hori Keiko Ogawa Kazumi Takahashi Kunio Kitahama Katuo Yamazaki Yoshimasa Koyama Kohei Shioda Yugo Ueda Yukiko Nakamura Clara Inoue Kazushige Goto Sunao Uchida Yuko Morita Yoshiko Honda Tohru Kodama Mari Hagihara Toru Nakajima Masato Saito Yoshihiko Koga Shinichiro Tanaka Hiroshi Yamadera Madoka Takahara Sachiko Suwa Minoru Onozuka Sadao Sato Fumiharu Togo Taiki Komatsu Takeshi Mitani Jongbae Choi Bin Zhang Taeko Sasai Hiromi Mitsubayashi Mitsuhiro Ohtsu Isao Hasegawa Tatsuya Ishii Akira Komori Asami Suzuki Yue Nakahara Mitsuyasu Hiroki Mariko Nakauma Nobuo Someya Tomomasa Ochiai Shouhei Komori Rayleigh Ping-Ying Chiang Zai-Ting Yeh Seong T. Kim Seung H. Yoon Jeong S. Kwon Jong H. Choi Hyung J. Ahn Youngsoo Kim Bolortuya Yunren Lichao Chen Radhika Basheer Robert W. Mccarley Robert E. Strecker Makoto Honda Tetsuaki Arai Miyuki Fukazawa Yutaka Honda Kuniaki T Department of Psychiatry Gachon University of Medicine and Science Incheon Republic of Korea Department of Psychiatry Seoul National University Seoul Republic of Korea Department of Neuropsychiatry and Center for Sleep and Chronobiology Seoul National University Hospital Seoul Republic of Korea Department of Neuropsychiatry Seoul National University Hospital Seoul Republic of Korea Seoul National University Hospital Seoul Republic of Korea Department of Psychiatry Shiga University of Medical Science Otsu Japan Division of Public Health Department of Social Medicine Nihon University School of Medicine Tokyo Japan Department of Public Health Nihon University School of Medicine Tokyo Japan Division of Environmental and Preventive Medicine Department of Social Medicine Faculty of Medicine Tottori University Yonago Japan Department of Hygiene and Preventive Medicine Fukushima Medical University Fukushima Japan Department of Public Health Showa University School of Medicine Tokyo Japan Faculty of Humanities Seitoku University Matsudo Japan Section on Behavioral Science Division of Clinical Research National Hospital Organization Kurihama Alcoholism Center Yokosuka Japan Department of Otolaryngology Second Hospital Fujita Health University Nagoya Japan National Hospital Organization Kurihama Alcoholism Center Kanagawa Japan Metropolitan Police Department Criminal Investigation Laboratory Tokyo Japan Japan Somnology Center Neuropsychiatrie Research Institute Tokyo Japan Department of Somnology Tokyo Medical University Tokyo Japan Japan Somnology Center Neuropsychiatric Research Institute Tokyo Japan Department of Somnology Tokyo Medical and Dental University Tokyo Japan Center for Sleep and Chronobiology Department of Psychiatry and Behavioral Science Seoul National University College of Medicine Seoul Republic of Korea Department of Psychiatry and Behavioral Science Center for Sleep and Chronobiology Seoul Republic of Korea Department of Physiology Al

来源：评论

学校读者我要写书评

暂无评论

Cascade of genetic algorithm and decision tree for cancer classification on gene expression data

Cascade of genetic algorithm and decision tree for cancer cl...

引用

37th International Conference on Computers and Industrial Engineering 2007

作者： Yeh, Jinn-Yi Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department and Graduate Program of BioIndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)9781627486811

Cancer classification through gene expression data analysis has emerged as an active area of research recently. Gene expression is the process of transcribing a gene's DNA sequence into RNA. A gene's expression level indicates the approximate number of copies of that gene's RNA produced in a cell. This is thought to correlate with the amount of the corresponding protein made. The expression of a gene provides a measure of activity of a gene under certain biochemical conditions. For example, cancers are usually reflected in the change of the expression values of certain genes. Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. This implies that we must deal with a huge number of irrelevant genes. An efficient algorithm is required to reduce the computational overhead. The other challenge is from the presence of noise inherent in the data set. It makes accurate classification of data more difficult when the sample size is small. This paper applies genetic algorithms (GA) for selecting a group of relevant genes from cancer microarray data. Then the decision tree based cancer classifier is built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods (e.g., t-statistics, GS method, and information gain) using the publicly available gene expression data set such as Colon, Leukemia, Lymphoma, Lung and central nervous system (CNS). Experimental results indicate that the cascade of GA and decision tree has the highest accuracy rate among different methods.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

A usability study on personalized EPG (pEPG) UI of digital TV

引用

12th International Conference on Human-Computer Interaction, HCI International 2007

作者： Myo, Ha Kim Sang, Min Ko Jae, Seung Mun Yong, Gu Ji Moon, Ryul Jung Cognitive Science Program Graduate School Yonsei University Department of Information and Industrial Engineering Yonsei University Department of Media Technology Sogang University

ISBN: (纸本)9783540731085

As the use of digital television (D-TV) has spread across the globe, usability problems on D-TV have become an important issue. However, so far, very little has been done in the usability studies on D-TV. The aim of this study is developing evaluation methods for the user interface (UI) of a personalized electronic program guide (pEPG) of D-TV, and evaluating the UI of a working prototype of pEPG using this method. To do this, first, the structure of the UI system and navigation for a working prototype of pEPG was designed considering the expanded channel. Secondly, the evaluation principles as the usability method for a working prototype of pEPG were developed. Third, labbased usability testing for a working prototype of pEPG was conducted with these evaluation principles. The usability problems founded by usability testing were reflected to improve the UI of a working prototype of pEPG. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Digital television

来源：评论

学校读者我要写书评

暂无评论

Applying data mining techniques for cancer classification from gene expression data

Applying data mining techniques for cancer classification fr...

引用

2nd International Conference on Convergent information technology, ICCIT 07

作者： Yeh, Jinn-Yi Wu, Tai-Shi Wu, Min-Che Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department of Business Administration National Taipei University Taiwan Department and Graduate Program of Biolndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)0769530389

Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. It makes accurate classification of data more difficult. This paper applies genetic algorithms (GA) with an initial solution provided by t-statistics (t-GA) for selecting a group of relevant genes from cancer microarray data. The decision tree based cancer classifier is then built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods using the publicly available gene expression datasets. Experimental results indicate that t-GA has the highest accurate rate among different methods. The Z-score figure also shows that the gene selection operation provided by t-GA is reproducible. © 2007 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Interpreting cabinet approval ratings by neural networks

Interpreting cabinet approval ratings by neural networks

引用

IASTED International Conference on Artificial Intelligence and Applications, AIA 2007

作者： Kamimura, Ryotaro Yoshida, Fumihiko Kitajima, Ryozo Information Science Laboratory Information Technology Center Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan Department of Media Studies Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan Graduate Program in Computer Sciences Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan

ISBN: (纸本)9780889866317

In this paper, we try to estimate Japan's cabinet approval ratings by using neural networks. In addition, we try to extract the important features in input patterns. This is the first attempt to use neural networks and to interpret the mechanism of inference for approval estimation in a comprehensive way. Experimental results show that neural networks have much better performance than that obtained by the standard regression analysis in terms of training and testing errors. The information loss analysis reveals that the first variable, that is, the previous ratings should play the most important role in inference. Though the experimental result here shown is a preliminary one, it certainly suggests a possibility of the automatic inference of cabinet approval ratings.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Technique to develop effective e-learning software to simulate a teacher using SCORM based interactive multimedia RLO for non-linear teaching

引用

International Journal of information technology and Management 2007年第1期6卷 105-116页

作者： Dharaskar, Rajiv V. Thakare, Vilas M. Department of Computer Technology MP Institute of Engineering and Technology Gondia Maharashtra 441614 India Department of Computer Science Amravati University Amravati Maharashtra 444602 India Department of Computer and Information Technology MP. Institute of Engineering and Technology Gondia Maharashtra India Post Graduate Department of Computer Science Faculty of Engineering and Technology Amravati University India

The Reusable Learning Objects (RLO) are small, self-contained modules of learning that tackle a single concept, information, procedure or fact that can be delivered independently. To develop independent RLO for linear teaching method is a straightforward job. But the process becomes tedious for non-linear Funnel approach teaching because of two characteristics of RLO namely reusability and independent nature. The interactive multimedia is a better choice for developing e-learning software. To use these technologies for effective e-learning solutions, the developer should have in-depth knowledge of e-pedagogy, which makes the process more complicated. To develop web-based e-learning solutions the Learning Management System (LMS) is essential. The SCORM compatible RLOs are needed for LMS, which adds further overheads. The magnitude of complexity increases if these RLOs are used to simulate the teacher of programming languages. This paper describes a special technique to do this job. Copyright © 2007 Inderscience Enterprises Ltd.

关键词： E-learning

来源：评论

学校读者我要写书评

暂无评论

information-Theoretic Variable Selection in Neural Networks

Information-Theoretic Variable Selection in Neural Networks

引用

IEEE Symposium on Foundations of Computational Intelligence, FOCI

作者： Ryotaro Kamimura Fumihiko Yoshida Yamashita Toshie Ryozo Kitajima Information Technology Center Information Science Laboratory Japan Department of Media Studies Tokai University Hiratsuka Kanagawa Japan Graduate Program in Computer Sciences Tokai University Hiratsuka Kanagawa Japan

In this paper, we propose a new type of information-theoretic approach to variable selection. Many approaches have been proposed in estimating the importance of input variables. The majority of these approaches have focused upon output errors. We here introduce an approach concerning internal representations. First, we delete an input unit with corresponding connection weights. Then, by examining some change in hidden unit activation with and without a input variable, we can extract an important variable. We apply this method to an artificial data in which the number of hidden units is redundantly increased so as to clearly show improved performance and the stability of our method. Then, we apply the method to the cabinet approval ratings in which better interpretation of input variables can be given

关键词： Input variables Neural networks Computational intelligence Computer networks information theory Data mining Standards development Measurement units information science Laboratories

来源：评论

学校读者我要写书评

暂无评论

Applying Data Mining Techniques for Cancer Classification from Gene Expression Data

Applying Data Mining Techniques for Cancer Classification fr...

引用

International Conference on Convergence information technology

作者： Jinn-Yi Yeh Tai-Shi Wu Min-Che Wu Der-Ming Chang Department of Management Information Systems National Chiayi University Taiwan Department of Business Administration National Taipei University Taiwan Department and Graduate Program of BioIndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)9780769530383

Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. It makes accurate classification of data more difficult. This paper applies genetic algorithms (GA) with an initial solution provided by t- statistics (t-GA) for selecting a group of relevant genes from cancer microarray data. The decision tree based cancer classifier is then built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods using the publicly available gene expression datasets. Experimental results indicate that t-GA has the highest accurate rate among different methods. The Z-score figure also shows that the gene selection operation provided by t-GA is reproducible.

关键词： Data mining Cancer Gene expression RNA DNA Sequences Genetic algorithms Decision trees Classification tree analysis Fluorescence

来源：评论

学校读者我要写书评

暂无评论

Designing for uncertainty

引用

Proceedings of the Association for information Science and technology 2007年第1期43卷 1-9页

作者： Theresa Dirndorfer Anderson Marcia J. Bates Jennifer Berryman Sanda Erdelez Jannica Heinstrom (Moderator) Information and Knowledge Management Program Faculty of Humanities and Social Sciences University of Technology Sydney (UTS) P.O. Box 123 Broadway NSW 2007 Australia Department of Information Studies Graduate School of Education and Information Studies University of California Los Angeles (UCLA) Los Angeles CA Information and Knowledge Management Program Faculty of Humanities and Social Sciences University of Technology Sydney (UTS) Australia School of Information Science and Learning Technologies University of Missouri - Columbia Columbia MO The Center for International Scholarship in School Libraries (CISSL) Rutgers The State University New Brunswick NJ

Our highly digitized world brings us into contact with networked information systems with the potential to help us locate information quickly and easily at the touch of a button. But it is far from easy to quickly find the exact information we need. Every new resource added increases the time needed to locate the right information. The increasing scale of resource collections continues to drive the need for innovative methods of organizing and providing access to the information within these collections (Bates, 1999 ). This panel will discuss the prospect of designing for uncertainty - that is creating information systems based on the premise that (in certain situations) uncertainty can be a powerful mediating strategy for people.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Waters network's potential to transform environmental engineering education

Waters network's potential to transform environmental engine...

引用

114th Annual ASEE Conference and Exposition, 2007

作者： Eschenbach, Elizabeth Montgomery, Jami Johnson, James Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States WATERS Network - CLEANER Project Office Network Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States American Academy of Environmental Engineers United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute of Technology United States National Research Council U. S. Air Force United States NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Energy Environmental and Chemical Engineering Washington University St. Louis United States Environmental Studies Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States Education Planning Committee National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University or Illinois United States Knowledge and Learning Systems Group NCSA United States

The WATERS Network (WATer and Environmental Research Systems Network) will be an integrated real-time distributed observing system which will enable academic and government scientists, engineers, educators, and practitioners to advance effective management of our nation's water resources by understanding human interactions with water and the natural and built environment. WATERS will provide easily accessible real time environmental data as well as analysis tools to engineers, scientists, educators, K- graduate students and policymakers so they can better understand how water quantity, quality and related components of the hydrologic cycle are impacted by natural and human influences. The WATERS strategic plan will be completed by July 2007 and requires constituent input. This paper describes the draft Conceptual Design and the Education Plan of WATERS Network. This paper will highlight the potential impact of WATERS on undergraduate and graduate environmental engineering education in order to elicit input from the environmental engineering education community on how WATERS Network could better meet the future needs of undergraduate and graduate students and educators. More information can be found at ***. © American Society for Engineering Education, 2007.

关键词： Water resources

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：