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2008 International Conference on e-Learning, e-Business, Enterprise information Systems, and e-Government, EEE 2008

作者： Lee, Tong Queue Lee, Eunchang Park, Young Park, Yongtae Department of Mobile Internet Dongyang Technical College Seoul Korea Republic of Graduate Program in Technology and Management Seoul National University Seoul Korea Republic of Department of Computer Science and Information Systems Bradley University Peoria IL United States Department of Industrial Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)1601320639

Recommendation accuracy is especially important in mobile e-commerce environments due to the limited screen size of mobile devices and relatively expensive connection costs. Mobile content tends to be fashionable and are geared for young users. This paper presents a novel method of building a more accurate recommender system for mobile content in a mobile ecommerce environment. The method is based on collaborative filtering, and models content diffusion and user preference transition and incorporates them in constructing pseudo ratings from implicit feedback data. In a variety of experiments, recommender systems based on the method showed significantly better recommendation accuracy than a pure collaborative filtering-based recommender system.

关键词： Collaborative filtering

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Using Bayesian Network for planning course registration model for undergraduate students

Using Bayesian Network for planning course registration mode...

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Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST

作者： Pathom Pumpuang Anongnart Srivihok Prasong Praneetpolgrang Somchai Numprasertchai Department of Computer Science Faculty of Science Kasetsart University Bangkok Thailand Master of Science Program in Information Technology Graduate School Sripatum University Bangkok Thailand Department of Computer Engineering Faculty of Engineer Kasetsart University Bangkok Thailand

ISBN: (纸本)9781424414895

The objective of this study is to propose a model for planning course registration by using a data mining technique: Bayesian network. The proposed model can be used to predict the sequences of courses to be registered by undergraduate students whose majors are computer science or engineering. The data set was obtained from student enrollments and include GPA and grades in each subject for first and second year students from a private university in Thailand. Evaluations show that the predictive power of this model is acceptable. The implications from this studypsilas findings suggest that the model can be applied for advising students in planning courses to be registered in each semester. Further, the model appears to be useful for improving curriculum development in order to fit both studentspsila and university requirements.

关键词： Bayesian methods Biological system modeling Computers Education Computational modeling Brain modeling Brain models

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Preface: Marine and coastal applications in landscape ecology

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Landscape Ecology 2008年第SUPPL. 1期23卷 1-5页

作者： Hinchey, Elizabeth K. Nicholson, Matthew C. Zajac, Roman N. Irlandi, Elizabeth A. U.S. Environmental Protection Agency National Health and Environmental Effects Research Laboratory Atlantic Ecology Division Narragansett RI 02882 27 Tarzwell Dr United States Illinois-Indiana Sea Grant College Program Purdue University Chicago IL 60604 77 West Jackson Blvd. (G-17J) United States U.S. Environmental Protection Agency Environmental Information and Analysis Branch Environmental Assessment and Innovation Division Philadelphia PA 19103-2029 1650 Arch Street United States Graduate Program in Environmental Science Department of Biology and Environmental Science University of New Haven West Haven CT 06516 300 Boston Post Road United States Department of Marine and Environmental Systems Florida Institute of Technology Melbourne FL 32901 150 West University Boulevard United States

Landscape ecology traditionally has been limited to the study of terrestrial systems;however, the questions and methods defining the science are equally relevant for marine and coastal systems. The reciprocal relationship between spatial pattern and ecological processes and the overarching effect of scale on this relationship was being explored in some marine and coastal settings as the general discipline of landscape ecology was evolving throughout the latter two decades of the last century. As with all components of the biosphere, an understanding of these relationships is critical for successful management of marine and coastal systems. In these systems, widely dispersed field or ship-based observations and lack of broad scale data have historically precluded quantification of large-scale patterns and processes and hindered management efforts. However, relatively recent advances in geographic information systems, remote sensing and computer technologies have begun to address these issues and are now permitting assessments of pattern and process in oceans. The intent of this special issue is to highlight research that is adapting the tools of landscape ecology to answer ecological questions within marine and coastal systems, to address the unique challenges faced in these landscapes, and to stimulate an exchange of ideas and solutions to common problems. Inspiration for this special issue of Landscape Ecology began with a special session on "Marine and Coastal Applications in Landscape Ecology" that was held at the 19th Annual Symposium of the United States Regional Association of the International Association for Landscape Ecology, March 31-April 2, 2004 in Las Vegas, Nevada. © 2007 Springer science+Business Media B.V.

关键词： Benthic landscapes Habitat fragmentation Landscape ecology Larval dispersal Marine coral reef reserves Polychaete species diversity Reef fish communities Seagrass landscape pattern Sediment metal concentrations

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

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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

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Primates in Peril: The World's 25 most endangered primates 20082010

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Primate Conservation 2009年第1期24卷 1-57页

作者： Mittermeier, Russell A. Wallis, Janette Rylands, Anthony B. Ganzhorn, Jörg U. Oates, John F. Williamson, Elizabeth A. Palacios, Erwin Heymann, Eckhard W. Kierulff, M. Cecília M. Yongcheng, Long Supriatna, Jatna Roos, Christian Walker, Sally Cortés-Ortiz, Liliana Schwitzer, Christoph Bearder, Simon K. Bergl, Richard Bracebridge, Claire E. Brockelman, Warren Y. Butynski, Thomas M. Cornejo, Fanny M. Das, Jayantha Davenport, Tim R. B. De Luca, Daniela W. DeLuycker, Anneke M. Dolch, Rainer Hai, Dong Thanh Dunn, Andrew Peng-Fei, Fan Geissman, Thomas Guillen, Rosamira Long, Ha Thang Honess, Paul E. Islam, Awar Johnson, Steig Jones, Trevor Lamilla, Iader Larney, Eileen Quyet, Le Khac Sanchez, Karmele Llano Yoncheng, Long Louis Jr., Edward E. MacHaga, Sophy J. Martin, Sara K. Mbora, David McGraw, W. Scott Moisson, Pierre Molur, Sanjay Morales-Jiménez, Alba Lucia Morgan, Bethan Mpunga, Noah E. Nadler, Tilo Nekaris, K. Anna I. Nicholas, Aaron Nijman, Vincent Nkembi, Louis Pacheco, Victor Paciulli, Lisa M. Patel, Erik R. Perkin, Andrew Thuc, Phan Duy Quintana, Heidi Rabarivola, Clment J. Rafaliarison, Radoniana R. Raffel, Martina Ralainasolo, Fidimalala Randriatahina, Guy H. Ratsimbazafy, Jonah Ravoarimanana, Iary B. Rudran, Rasanayagam Rumpler, Yves Salim, Agus Savage, Anne Schrudde, Daniela Schwitzer, Nora Shekelle, Myron Singleton, Ian Soto, Luis Stevens, Nancy Sunderland-Groves, Jacqueline Thorn, James S. Urbani, Bernardo Volampeno, Sylviane N. M. Wanasinghe, Ananda Warren, Ymke Weerakoon, Kanchana Werre, J. Lodewijk Wich, Serge A. Winarti, Indah Wright, Patricia C. Andriamaharoa, Hubert Zaramody, Alphonse Carretero-Pinzon, Xyomara Ruiz-Garcia, Manuel Defler, Thomas R. Missouri Botanical Garden Research and Conservation Madagascar Program Antananarivo 101 B.P. 3391 Madagascar Department of Anthropology School of Social Science and Law Oxford Brookes University Oxford 0X3 OBP United Kingdom North Carolina Zoological Park Asheboro NC 27205 4401 Zoo Parkway United States Wildlife Conservation Society Mbeya PO Box 1475 Tanzania Applied Ecology Group Department of Environmental and Geographical Sciences Manchester Metropolitan University Manchester Ml 5GD Chester Street United Kingdom Center for Conservation Biology Institute of Science and Technology for Research and Development Mahidol University Salaya Nakhon Pathom 73170 Phuttthamon-thon 4 Road Thailand Bioko Biodiversity Protection Program Drexel University 10400 Nanyuki PO Box 149 Kenya Museo de Historia Natural Universidad Nacional Mayor de San Marcos Lima 11 Av. Arenales 1256 Peru Museum of Zoology Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor MI 48109-1079 138 Museums Annex 1109 Geddes Avenue United States Wildlife Areas Development and Welfare Trust Guwahati Assam 781 001 M.G. Road India Department of Anthropology Washington University St. Louis MO 63130 United States Prolemur Research Project Association Mitsinjo Andasibe Madagascar Department of Wildlife Management Faculty of Forest Resources and Environmental Management Vietnam Forestry Uiversity Xuan Mai Chuong My Hanoi Viet Nam Wildlife Conservation Society Calabar Cross River State GPO Box 796 Nigeria Kunming Institute of Zoology Chinese Academy of Sciences Kunming Graduate School of the Chinese Academy of Sciences Beijing China Jingdong Nature Reserve Management Bureau Jingdong China Institute of Zoology Ecology and Conservation 20146 Hamburg Martin Luther King Platz 3 Germany Anthropological Institute University Zurich-Irchel CH-8057 Zurich Winterthurerstr. 190 Switzerland Fundacion Proyecto Titi Barranquilla Carrera 56 # 68-85 Colombia Wildlife Research

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Abstracts for the 6th Congress of Asian Sleep Research Society

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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

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Interpreting cabinet approval ratings by neural networks

Interpreting cabinet approval ratings by neural networks

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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

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Pedestrian tracking from a mobile robot using a laser range finder

Pedestrian tracking from a mobile robot using a laser range ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Takehiro Horiuchi Simon Thompson Satoshi Kagami Yoshihiro Ehara Graduate School of Information Science Nara Institute of Science and Technology Ikoma Nara Japan Digital Human Research Center National Institute for Advanced Industrial Science and Technology Koto Tokyo Japan CREST Program Japan Science and Technology Agency Japan

This paper describes a pedestrian tracking system for a mobile robot. The system detects human position by finding pairs of legs using a laser range finder. It distinguishes between pedestrians and human like static objects by using a static environment map which indicates places of static objects in the environment in which the robot operates. The map is made from the past 200 frames (about 2.6 seconds) of data from a laser range finder. An experiment is reported which confirms the ability of the system to track pedestrians from on board a mobile robot in a daily use environment, even when the robot is in motion. The results also show that the system can distinguish between pedestrians and human like static objects.

关键词： Mobile robots Humans Legged locomotion Leg Orbital robotics Tracking Robot vision systems Cameras Service robots Object detection

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information-Theoretic Variable Selection in Neural Networks

Information-Theoretic Variable Selection in Neural Networks

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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

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Designing for uncertainty

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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.

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