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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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Emerging topics for industrial engineering curriculum

Emerging topics for industrial engineering curriculum

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113th Annual ASEE Conference and Exposition, 2006

作者： Rabelo, Luis Hernandez, Ethling Crumpton-Young, Lesia Eskandari, Hamidreza Sala-Diakanda, Serge Furterer, Sandra Williams, Kent University of Central Florida United States Department of Industrial Engineering and Management Systems University of Central Florida Orlando FL United States Engineering Management Program College of Engineering and Computer Science Industrial Engineering Society Department of Industrial Engineering and Management Systems College of Engineering and Computer Science University of Central Florida Orlando FL United States Department of Industrial Engineering and Management Systems University of Central Florida United States Industrial Engineering and Management Systems Department College of Engineering and Computer Science University of Central Florida United States

The primary purpose of this study was to identify the desired characteristics of an undergraduate Industrial Engineer as an entry-level employee, and to determine the emerging topic areas that should be incorporated into the reengineered curriculum. This research study will help determine the future focus on curriculum development to be more responsive to the needs and requirements of industry. This paper will explain the process to validate and obtain the different emerging topics. The principal research method employed was a modified three round Delphi study that targeted Industry and Academia. The research findings obtained from the first round of the study are discussed that identify the desired characteristics, and the most important emerging topics to be incorporated into the reengineered curriculum. © American Society for engineering Education, 2006.

关键词： Industrial engineering

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A variable priorities MAC protocol for Broadband Wireless Access with improved channel utilization among stations

A variable priorities MAC protocol for Broadband Wireless Ac...

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International Symposium on Telecommunications

作者： L. F. M. de Moraes P. D. Maciel Systems Engineering and Computer Science Program-COPPE/UFRJ High-Speed Networks Laboratory-RAVEL Rio de Janeiro Brazil

The Broadband Wireless Access (BWA) technology has been proposed to support different traffic classes with distinct quality of service (QoS) requirements in broadband metropolitan area networks. Therefore, as part of its specifications, such a system must properly address the combined requirements of wireless communications and multimedia applications. We propose in this paper an extension to the MAC protocol presented in [1, 2], by assigning variable priorities to the network stations sharing access to the communication channel. An analytical model to evaluate the performance of the proposed protocol is also developed and results obtained for the messages waiting times at different stations are presented. In addition, simulation data are used to compare the results obtained from the analytical model presented previously. It is concluded that the proposed variable priority MAC protocol is able to improve channel utilization and provide throughput and queueing delay fairness among the stations in the network.

关键词： Media Access Protocol Wireless application protocol Access protocols Analytical models Quality of service Telecommunication traffic Traffic control Metropolitan area networks Wireless communication Multimedia communication

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Using regression error characteristic curves for model selection in ensembles of neural networks 14

Using regression error characteristic curves for model selec...

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14th European Symposium on Artificial Neural Networks, ESANN 2006

作者： De Pina, Aloísio Carlos Zaverucha, Gerson Universidade Federal do Rio de Janeiro COPPE/PESC Department of Systems Engineering and Computer Science C.P. 68511 Rio de Janeiro RJCEP. 21945-970 Brazil

ISBN: (纸本)2930307064

Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regression functions simultaneously in a single graph. The objective of this work is to present a new approach for model selection in ensembles of Neural Networks, in which we propose the use of REC curves in order to select a good threshold value, so that only residuals greater than that value are considered as errors. The algorithm was empirically evaluated and its results were analyzed also by means of REC curves. © 2006 *** publication. All rights reserved.

关键词： Neural networks

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A Systematic Review of Cross- vs. Within-Company Cost Estimation Studies 10

A Systematic Review of Cross- vs. Within-Company Cost Estima...

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10th International Conference on Evaluation and Assessment in Software engineering, EASE 2006

作者： Kitchenham, Barbara Mendes, Emilia Travassos, Guilherme H. Department of Computer Science Keele University StaffordshireST5 5GB United Kingdom National ICT Australia Locked Bag 9013 AlexandriaNSW1435 Australia Computer Science Department The University of Auckland Private Bag 92019 Auckland New Zealand UFRJ/COPPE Systems Engineering and Computer Science Program Caixa Postal 68511 RJ Rio de Janeiro21941-972 Brazil

OBJECTIVE – The objective of this paper is to determine under what circumstances individual organisations would be able to rely on cross-company based estimation models. METHOD – We performed a systematic review of studies that compared predictions from cross-company models with predictions from within-company models based on analysis of project data. RESULTS – Ten papers compared cross-company and within-company estimation models, however, only seven of the papers presented independent results. Of those seven, three found that cross-company models were as good as within-company models, four found cross-company models were significantly worse than within-company models. Experimental procedures used by the studies differed making it impossible to undertake formal meta-analysis of the results. The main trend distinguishing study results was that studies with small single company data sets (i.e. © EASE *** rights reserved.

关键词： Cost estimating

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Workshop on imaging science development for cancer prevention and preemption

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Cancer Biomarkers 2007年第1期3卷 1-33页

作者： Kelloff, Gary J. Sullivan, Daniel C. Baker, Houston Clarke, Lawrence P. Nordstrom, Robert Tatum, James L. Dorfman, Gary S. Jacobs, Paula Berg, Christine D. Pomper, Martin G. Birrer, Michael J. Tempero, Margaret Higley, Howard R. Petty, Brenda Gumbs Sigman, Caroline C. Maley, Carlo Sharma, Prateek Wax, Adam Ginsberg, Gregory G. Dannenberg, Andrew J. Hawk, Ernest T. Messing, Edward M. Grossman, H. Barton Harisinghani, Mukesh Bigio, Irving J. Griebel, Donna Henson, Donald E. Fabian, Carol J. Ferrara, Katherine Fantini, Sergio Schnall, Mitchell D. Zujewski, Jo Anne Hayes, Wendy Klein, Eric A. DeMarzo, Angelo Ocak, Iclal Ketterling, Jeffrey A. Tempany, Clare Shtern, Faina Parnes, Howard L. Gomez, Jorge Srivastava, Sudhir Szabo, Eva Lam, Stephen Seibel, Eric J. Massion, Pierre McLennan, Geoffrey Cleary, Kevin Suh, Robert Burt, Randall W. Pfeiffer, Ruth M. Hoffman, John M. Roy, Hemant K. Wang, Thomas Limburg, Paul J. El-Deiry, Wafik S. Papadimitrakopoulou, Vali Hittelman, Walter N. MacAulay, Calum Veltri, Robert W. Solomonzz, Diane Jeronimo, Jose Richards-Kortum, Rebecca Johnson, Karen A. Viner, Jaye L. Stratton, Steven P. Rajadhyaksha, Milind Dhawan, Atam NIH/NCI/DCTD Cancer Imaging Program Bethesda MD United States NIH/NCI/DCTD Cancer Imaging Program NCI-Frederick Frederick MD United States NIH/NCI/DCP Early Detection Research Group Bethesda MD United States The Johns Hopkins University School of Medicine Departments of Radiology Pharmacology and Oncology Division of Neuroradiology Baltimore MD United States NIH/NCI/CCR Cell and Cancer Biology Branch Bethesda MD United States University of California San Francisco Department of Medicine Division of Medical Oncology San Francisco CA United States CCS Associates Inc. Mountain View CA United States Wistar Institute Molecular and Cellular Oncogenesis Program Philadelphia PA United States University of Kansas School of Medicine VA Hospital Kansas City MO United States Duke University Department of Biomedical Engineering Medical Physics Program Durham NC United States University of Pennsylvania School of Medicine Department of Gastroenterology Philadelphia PA United States New York Presbyterian Hospital Weill Medical College of Cornell University New York NY United States NIH/NCI/OD Office of Centers for Training and Resources Bethesda MD United States University of Rochester Medical Center Department of Urology Rochester NY United States University of Texas MD Anderson Cancer Center Department of Urology Houston TX United States Massachusetts General Hospital Abdominal Imaging/Interventional Radiology Boston MA United States Boston University Biomedical Engineering Electrical and Computer Engineering and Physics Boston MA United States NIH/NCI/DCP Gastrointestinal and Other Cancers Research Group Bethesda MD United States The George Washington University Cancer Institute Office of Cancer Prevention and Control Washington DC United States University of Kansas Cancer Center Clinical Oncology Kansas City KS United States University of California Davis Department of Biomedical Engineering Davis CA United States Tufts University De

The concept of intraepithelial neoplasm (IEN) as a near-obligate precursor of cancers has generated opportunities to examine drug or device intervention strategies that may reverse or retard the sometimes lengthy process of carcinogenesis. Chemopreventive agents with high therapeutic indices, well-monitored for efficacy and safety, are greatly needed, as is development of less invasive or minimally disruptive visualization and assessment methods to safely screen nominally healthy but at-risk patients, often for extended periods of time and at repeated intervals. Imaging devices, alone or in combination with anticancer drugs, may also provide novel interventions to treat or prevent precancer.

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Aircraft maintenance technology education: Integrating asynchronous technology & virtual reality

Aircraft maintenance technology education: Integrating async...

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113th Annual ASEE Conference and Exposition, 2006

作者： Sadasivan, Sajay Vembar, Deepak Stringfellow, Paris Washburn, Carl Duchowski, Andrew Gramopadhye, Anand Cemson University Department of Industrial Engineering Clemson University SC United States Department of Computer Science Clemson University SC United States Greenville Tech United States Aircraft Maintenance Program Greenville Technical College United States Department of Computer Science Clemson University United States Industrial Engineering Department Advanced Technology Systems Laboratory Clemson University SC United States

This paper describes a research program with an objective to develop and implement an interactive virtual reality (VR) model of the aircraft inspection maintenance process for asynchronous delivery. Existing approaches have not been able to mimic accurately the complexity of the aircraft maintenance process, reporting limited transfer capabilities and student preparedness for the workplace. This use of virtual reality technology will enable educators to create and students to experience the complex aircraft maintenance environment in an educational classroom, a setting where it has not yet been successfully created using traditional multimedia-based technologies. This model will emphasize the curriculum development and workplace preparedness needed by modern aircraft maintenance technology for local, state and national audiences. The primary objectives of this research are curriculum enhancement and assessment of VR as a pedagogical tool. This innovative approach is the first effort to extend tested VR technology to the aircraft maintenance technology curriculum in a two-year college. The outcome of this research will lead to the following: an innovative, high-impact model for curriculum application in aircraft maintenance technology for college students and industry employees;an increased workplace pool of aircraft maintenance technicians prepared for the transition from learning to workforce;a program providing the use of VR technology as a pedagogical tool. The successful completion of this effort will fill a state and national need for well-prepared students entering the aircraft maintenance industry and will provide a better understanding of the use of VR as a pedagogical tool. © American Society for engineering Education, 2006.

关键词： Aircraft

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Variability modeling in a Component-based Domain engineering Process

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9th International Conference on Software Reuse, ICSR 2006

作者： Blois, Ana Paula Terra Bacelo De Oliveira, Regiane Felipe Maia, Natanael Werner, Cláudia Becker, Karin Federal University of Rio de Janeiro COPPE/UFRJ System Engineering and Computer Science Program P.O. Box 68511 21945-970 - Rio de Janeiro - RJ Brazil PUCRS Catholic University of Rio Grande do Sul Prédio 30 - Bloco 4 90619-900 - Porto Alegre - RS Brazil

ISBN: (纸本)3540346066

Domain engineering (DE) and Component-based Development (CBD) are approaches that focus on reuse. On the one hand, DE methods emphasize variability modeling in analysis phase. On the other hand, most CBD methods gude on the development of components, with a minor focus on reusability properties. This paper presents an approach to support variability modeling, in a Component-based Domain engineering Process. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Software engineering

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Predicting Probability of Mortality in the Neonatal Intensive Care Unit

Predicting Probability of Mortality in the Neonatal Intensiv...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Dajie Zhou Monique Frize Program of Systems Science University of Ottawa Ottawa ONT Canada Department of Systems and Computer Engineering Carleton University and the School of Information Technology and Engineering University of Ottawa Ottawa ONT Canada

Artificial neural networks can be trained to predict outcomes in a neonatal intensive care unit (NICU). This paper expands on past research and shows that neural networks trained by the maximum likelihood estimation criterion will approximate the `a posteriori probability' of NICU mortality. A gradient ascent method for the weight update of three-layer feed-forward neural networks was derived. The neural networks were trained on NICU data and the results were evaluated by performance measurement techniques, such as the Receiver Operating Characteristic Curve and the Hosmer-Lemeshow test. The resulting models applied as mortality prognostic screening tools are presented

关键词： Pediatrics Neural networks Artificial neural networks Maximum likelihood estimation Measurement Testing Feedforward systems Feedforward neural networks Resource management Cities and towns

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A neural model for sonar-based navigation in obstacle fields

A neural model for sonar-based navigation in obstacle fields

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： T.K. Horiuchi Institute for Systems Research & The Neuroscience and Cognitive Science Program Electrical and Computer Engineering Department University of Maryland College Park MD USA

The rapid control of sonar-guided vehicles through obstacle fields has been a goal of robotics for decades. How sensory data is represented strongly affects how obstacles and goal information can be combined to select a direction of travel. While typical approaches combine attractive and repulsive effects to directly determine steering, we are investigating an algorithm that evaluates multiple directions simultaneously followed by a winner-take-all (WTA) function which then guides steering. In this paper we describe a neuromorphic VLSI implementation of this algorithm using the inherent echo delay to create a range-dependent gain in a 'race-to-first-spike' neural WTA circuit. The chip was fabricated in a commercially-available 0.5 mum CMOS process and in this paper we present preliminary test results

关键词： Sonar navigation Robot sensing systems Neurons Automotive engineering Neuroscience Cognitive science Educational institutions Control systems Vehicles Cognitive robotics

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