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1st International Conference on Advances and Trends in Engineering Materials and their Applications, AES-ATEMA'2007

作者： Coates, Cameron W. Hashemi, Ray R. Daniell, Darryl W. Engineering Studies Program Armstrong Atlantic State University Savannah GA 31419 United States Dept. of Computer Science Armstrong Atlantic State University Savannah GA 31419 United States

ISBN: (纸本)0978047907

An inverse method using strain values obtained at finite locations is used to predict coefficients of an unknown continuous static load function applied to a composite sandwich plate. The strain values obtained from a Finite Element Model (FEM) are used to simulate strain sensor readings. A Back-Propagation Neural Network (BPNN) is developed in order to predict optimum strain sensor locations necessary for accurate load function coefficient recovery using the inverse method. Coefficient values output from the inverse method, as well as material, and geometrical properties are used as input into the BPNN. The BPNN utilizes a back propagation algorithm that incorporates a linear transfer function. The BPNN developed predicts locations for sensor placement such that load function coefficients are recovered by the inverse method with good accuracy. © AES-Advanced Engineering Solutions.

关键词： Neural networks

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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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Personal digital collections

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Proceedings of the Association for Information science and Technology 2007年第1期43卷 1-7页

作者： Luz M. Quiroga Deborah Barreau William Jones Christine Borgman Cathy Marshall (Organizer) University of Hawaii. Information and Computer Science Dept. Library and Information Science Program School of Information and Library Science University of North Carolina at Chapel Hill Information Studies University of California Los Angeles The Information School University of Washington Microsoft and The Center for the Study of Digital Libraries at Texas A&M University

The vast growth in digital content generated by individuals marks a new social trend known as “Generation C” ( ***/trends/GENERATION_*** ). Personal content ranges from informal to formal, and includes scholarly papers, blogs, genealogical records, personal webpages, photo albums, family videos, music collections, power point presentations, bookmarks, personal correspondence, articles, computer programs, audio recordings (e.g. research interviews), spaces in collaborative systems, and personal digital libraries. Digital storage available for personal use continues to increase dramatically in capacity while declining in cost. Panelists will address challenges in the design of personal digital collections such as gathering, organizing, preserving, segmenting, accessing, and using digital content. Panelists are leaders in their field, representing an array of perspectives.

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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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Education for digital librarianship: Employers' needs and how they can be addressed

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Proceedings of the Association for Information science and Technology 2007年第1期43卷 1-7页

作者： June Abbas Kyung-Sun Kim Barbara M. Wildemuth Youngok Choi Javed Mostafa Kristine Brancolini Jeffrey Pomerantz Abby Clobridge (Organizer and Moderator) School of Informatics State University of New York at Buffalo (Organizer) School of Library and Information Studies University of Wisconsin-Madison School of Information and Library Science University of North Carolina at Chapel Hill Dept. of Computer Science State University of New York at Oswego School of Library and Information Science Indiana University Digital Library Program Indiana University School of Information and Library Science University of North Carolina Information Services & Resources Bucknell University

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A process modeling system aimed at large-scale collaborative design over networks

A process modeling system aimed at large-scale collaborative...

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19th International Conference on computer Applications in Industry and Engineering, CAINE 2006

作者： Wisniewski, Thomas Feng, Wenying Computer Science/Studies Program Trent University Peterborough ON K9J 7B8 Canada

This paper introduces MERIT Quality Process Manager, a system designed for large-scale process modeling for TS 16949-compliant diagrams over a local area network. This system focuses on efficient version control of di... 详细信息

ISBN: (纸本)9781604236750

关键词： Python

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A new modeling notation for system design and workflow patterns

A new modeling notation for system design and workflow patte...

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19th International Conference on computer Applications in Industry and Engineering, CAINE 2006

作者： Wisniewski, Thomas Feng, Wenying Computer Science/Studies Program Trent University Peterborough ON K9J 7B8 Canada

ISBN: (纸本)9781604236750

GPMN, a new workflow notation, is introduced. GPMN removes the limitations of modern Petri-net-based notations such as YAWL by allowing for templates and design patterns while simplifying the underlying notation. This along with complex workflow control makes GPMN very suitable for software modeling. GPMN is shown to produce sound models, is shown capable of modeling behavioural AJAX design patterns and Turing machines.

关键词： Turing machines

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Waters network's potential to transform environmental engineering education

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

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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

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Integration of QoS queuing schedules to QoS caching schemes

Integration of QoS queuing schedules to QoS caching schemes

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5th IEEE/ACIS International Conference on computer and Information science, ICIS 2006. In conjunction with 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse, COMSAR 2006

作者： Zhang, Yong Feng, Wenying Hurley, Richard Computer Science/Studies Program Trent University Peterborough Ont. K9J 7B8 Canada

ISBN: (纸本)0769526136

Previously, QoS queueing schedule algorithms for web servers and QoS Web caching were studied individually. In this paper, we examine the combination of both algorithms aimed at an optimal QoS solution for both clients and the server. By integrating one of the three schedule rules: Best Effort, DiffServ (Differentiated Services) and WSPT (Weighted Shortest Processing Time), with one of the two caching replacement algorithms: LRU (Least Recently Used) and LLP (Least Level Property) respectively, we develop six simulation models to compare their performance with the three metrics for QoS measures: Timeliness, Precision and Accuracy. © 2006 IEEE.

关键词： Quality of service

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Transforming K-12 education via the collaborative large-scale engineering analysis network for environmental research (CLEANER) project

Transforming K-12 education via the collaborative large-scal...

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113th Annual ASEE Conference and Exposition, 2006

作者： Eschenbach, Elizabeth Johnson, James H. 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 Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States Board of Scientific Counselors Executive Committee U.S. Environmental Protection Agency Office of Research and Development United States EPA's Science Advisory Board Department of Energy-sponsored HBCU/MI Environmental Technology Consortium Board Environmental Studies and Toxicology and the Engineering Council of the American Society for Engineering Education 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 ot Technology U.S. Air Forcer United States Army's Aberdeen Proving Ground NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Civil Engineering Washington University St. Louis United States Environmental Engineering Science 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 U.S. EPA Office of Research and Development United States National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University of Illinois United States

The Collaborative Large-scale Engineering Analysis Network for Environmental Research (CLEANER) Project Office has been established with funding from the National science Foundation (NSF) to the University of Illinois Urbana-Champaign (UIUC) and a coalition of 11 other institutions. The project office is coordinating the creation of a strategic plan consisting of research, cyberinfrastructure, and education plans that set forth a roadmap for the collaborative engineering analysis network for the study of environmental problems. This report will be completed by July 2007 and requires input from K-12 educators, administrators and other stakeholders in K-12 education. This paper describes the CLEANER project, provides an example of the CLEANER Education Committee's vision for the K-12 area and lists contacts for further information. The intention of this paper is to elicit input from the K-12 engineering education community, including K-12 educators, on how the CLEANER Education Plan could better meet the future needs of K-12 students and educators © American Society for Engineering Education, 2006.

关键词： Engineering education

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