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4th International Workshop on Web and Wireless Geographical Information Systems, W2GIS 2004

作者： Kim, Jong-Woo Kim, Chang-Soo Gautam, Arvind Lee, Yugyung PuKyong National University Interdisciplinary Program of Information Security 599-1 Daeyeon3-Dong Nam-Gu Pusan 608-737 Korea Republic of University of Missouri at Kansas City School of Computing and Engineering Kansas City MO 64110 United States

Location-Based Service(LBS) is a wireless application service that uses geographic information to serve a mobile user. Recent research on the LBS focuses on context sensitive computing and visualization. Location is the core context in context sensitive LBS and the use of the map is the most efficient way to visualize the geographic information. Many existing researches, however, has limited capability to provide dynamic map services and realistic information acquired from the Web. The goals of our research are to fully access geographical information and incorporate it with the LBS services. For the purpose, it is important to extract semantically relevant geographical information from the Web and efficiently present it to mobile users. In this paper, we present an effective LBS approach based on advance Mobile GIS and Web technologies. We design and implement the prototype of the Tour Guide System as a motivating application of LBS. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Geographic information systems

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Effects of participating in a GK-12 program on the graduate students' programs of study

Effects of participating in a GK-12 program on the graduate ...

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2005 ASEE Annual Conference and Exposition: The Changing Landscape of engineering and Technology Education in a Global World

作者： Lyons, Jed S. Fisher, Steve Thompson, Stephen University of South Carolina Columbia United States University of South Carolina United States South Carolina Center for Engineering and Computing Education United States College of Education's Office of Program Evaluation Department of Elementary Education University of South Carolina United States

The NSF Graduate Teaching Fellows in K-12 Education program at the University of South Carolina supports engineering and computer science graduate students to serve as content resources in local schools. This paper analyzes how participation in the GK-12 program affected the Fellows' university research and program of study. Qualitative and quantitative assessment data were collected from the Fellows and from the Fellow's advisors, evaluated and used to identify intended as well as unintended effects. The time commitment for many of the Fellows often exceeded what was expected or required. However, the majority of Fellows and advisors did not report that participating delayed their graduation. In many cases, participation enhanced their ability to conduct research and present the results. The results indicate that the benefits to the Fellows of participating in the program outweighed any negative consequences.

关键词： engineering education

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Utilization of truegrid in building a hexahedral femur mesh

Utilization of truegrid in building a hexahedral femur mesh

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2005 Summer Bioengineering Conference

作者： Schonning, Alexandra Oommen, Binu Ionescu, Irina Conway, Ted Program of Mechanical Engineering University of North Florida Jacksonville FL United States Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA United States Scientific Computing and Imaging Institute University of Utah Salt Lake City UT United States Mechanical Materials and Aerospace Engr. University of Central Florida Orlando FL United States

No abstract available

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Large-scale modeling of the mechanical behavior of multicellular constructs

Large-scale modeling of the mechanical behavior of multicell...

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2005 Summer Bioengineering Conference

作者： Guilkey, James E. Hoying, James B. Weiss, Jeffrey A. Department of Mechanical Engineering University of Utah Salt Lake City UT 84112 United States Regenerative Medicine Program BIOS Institute University of Arizona Tucson AZ 85724 United States Department of Bioengineering Scientific Computing and Imaging Institute University of Utah Salt Lake City UT 84112 United States

No abstract available

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Network management in new realms: Wireless sensor networks

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International Journal of Network Management 2005年第4期15卷 219-221页

作者： Boulis, Athanassios Jha, Sanjay School of Computer Science and Engineering University of New South Wales Sydney NSW 2052 Australia National ICT Australia Networks and Pervasive Computing Program Sydney NSW Australia School of Computer Science and Engineering University of New South Wales Sydney NSW Australia

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Handling Data Sparseness in Gene Network Reconstruction

Handling Data Sparseness in Gene Network Reconstruction

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IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)

作者： G.B. Bezerra T.V. Barra F.J. von Zuben L.N. de Castro Laboratory of Bioinformatics and Bio-Inspired Computing (LBiC) Department of Computer Engineering and Industrial Automation State University of Campinas-UNICAMP Sao Paulo Brazil Graduate Program on Informatics Catholic University of Santos Sao Paulo Brazil

One of the main problems related to regulatory network reconstruction from expression data concerns the small size and low quality of the available dataset. When trying to infer a model from little information it is necessary to give much more precedence to generalization, rather than specificity, otherwise, any attempt will be fated to overfitting. In this paper we address this issue by focusing on data sparseness and noisy information, and propose a density estimation technique that achieves regularized curves when data is scarce. We first compare the proposed method with the EM algorithm for mixture models on density estimation problems. Next, we apply the method, together with Bayesian networks, on realistic simulations of static gene networks, and compare the obtained results with the standard discrete Bayesian network model. We intend to demonstrate that adopting a discrete approach is not justifiable when only a small amount of information is available.

关键词： Intelligent networks Bayesian methods Genetics Bioinformatics Computer networks Reverse engineering Cellular networks Noise robustness Laboratories Data engineering

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Scientific models management in computational grids

Scientific models management in computational grids

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17th International Conference Scientific and Statistical Database Management, SSDBM 2005

作者： De Brito, Halisson Matos Strauch, Julia De Souza, Jano Moreira Osthoff, Carla COPPE/UFRJ Systems Engineering and Computer Science Program Federal University of Rio de Janeiro PO Box 68511 ZIP Code: 21945-970 Rio de Janeiro RJ Brazil ENCE /IBGE National School of Statistical Sciences 106 S. 401 ZIP Code: 20231-050 R. André Cavalcanti Rio de Janeiro RJ Brazil LNCC National Laboratory for Scientific Computing Av. Getulio 333 Quitandinha Vargas Petrópolis RJ Brazil IM/UFRJ Institute of Mathematics Federal University of Rio de Janeiro PO Box 68511 ZIP Code: 21945-970 Rio de Janeiro RJ Brazil

This paper presents MODENA, an architecture for scientific models management using Computational Grid platform. This architecture is comprised of two systems: ModManager and ModRunner. ModManager deals with knowledge management about scientific models, acting as a scientific models library allowing for cataloguing, searching, reutilization and generation of new models. To achieve this, a metamodel is proposed to classify models, in order to support the organization, searching and retrieving of models. ModRunner manages the execution of models in a Grid environment allowing for model composition to generate a scientific Grid Workflow to be executed by distributed services offered by Grid Services. An initial prototype of ModManager is presented.

关键词： Knowledge management

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Appointments for 2005-2006 term

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IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2005年第7期13卷 773-782页

作者： Ranganathan, Nagarajan Agrawal, Vishwani D. Chakradhar, Srimat T. Chakrabarty, Krishnendu Courtois, Bernard DeMara, Ronald Hu, Xiaobo Sharon Ismail, Yehea I. Jha, Niraj K. John, Lizy Kurian Ker, Ming-Dou Koren, Israel Liu, Bin-Da Marculescu, Diana Marculescu, Radu Narayanan, Vijaykrishnan Nassif, Sani R. Nowick, Steven M. Sapatnekar, Sachin S. Sherlekar, Sunil Sylvester, Dennis Vemuri, Ranga Pham, Michael Department of Computer Science and Engineering University of South Florida Tampa FL 33620 United States Department of Computer Science and Engineering Nanomaterials and Nanomanufacturing Research Center University of South Florida Tampa United States IEEE United States Systems United States Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ United States IETE India ACM NEC Laboratories America Inc. Princeton NJ United States Duke University Durham NC United States ACM SIGDA Sigma Xi United States Laboratory of Techniques of Informatics and Microelectronics for Computer Architectecture ASME IMAPS IEEE Computer Society University of Central Florida Orlando United States Computer Engineering Program SEECS Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Northwestern University Evanston IL United States Department of Electrical Engineering Princeton University Princeton NJ United States Association for Computing Machinery Austin United States UT Austin Engineering Foundation United States Department of Electronics Engineering National Chiao-Tung University Taiwan Department of Electrical and Computer Engineering University of Massachusetts Amherst United States Department of Electrical Engineering Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering Faculty Carnegie Mellon University Pittsburgh PA United States Computer Science and Engineering Department Pennsylvania State University University Park United States IBM Austin Research Laboratory Austin TX United States Columbia University New York NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis United States Tata Consultancy Services Centre of Excellence for Embedded Systems India Department of Electrical Engineering IIT Bombay India Department of Electrical Engineering Uni

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Journal of Information Science and engineering: Editorial notice

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Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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Leveraging expertise in time of economic constraints

Leveraging expertise in time of economic constraints

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ASEE 2004 Annual Conference and Exposition, "engineering Researchs New Heights"

作者： Thongsamak, Sasima Scales, Glenda R. Peed, Cheryl Virginia Tech. Industrial Engineering Department Virginia Tech. Distance Learning and Computing College of Engineering Cmw. Graduate Engineering Program Instructional and Research Services College of Engineering

To address the need to improve the Commonwealth Graduate engineering program (CGEP) at Virginia Tech, the college relied upon the expertise of students completing graduate theses and group projects in the Industrial and Systems engineering Department. This arrangement allowed graduate students to work on real problems as well as conduct applied research projects for an organization - the College of engineering. The students benefited from the experience and the college benefited from the result. CGEP is a coalition of five Virginia universities that deliver engineering graduate degree programs through distance learning. Three years ago this program was under review by the State Council of Higher Education for Virginia. Given that the CGEP director and administrators were new to this program, it was a high priority to establish metrics to determine the program's success. Another high priority was to search for expertise in the area of performance measurements. During the past three years, progress has been made in creating a continuous-process improvement plan for the program through the application of management systems methodologies. This paper discusses how graduate student expertise was used to assist with improving administrative aspects of the CGEP. It also describes the progression of projects and how data was analyzed and used to establish future direction. The concept described in this paper is traditional, yet the success of the methods used to improve the Commonwealth Graduate engineering program offers a new way to apply management system methodologies.

关键词： engineering education

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