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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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Learning to parse bilingual sentences using bilingual corpus and monolingual CFG

Learning to parse bilingual sentences using bilingual corpus...

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18th Conference on Computational Linguistics and Speech Processing, ROCLING 2006

作者： Huang, Chung-Chi Chang, Jason S. Dept. of Information Systems and Application Taiwan International Graduate Program National Tsing Hua University Hsin Chu Taiwan Taiwan International Graduate Program Academia Sinica Nankang Taiwan Dept. of Computer Science National Tsing Hua University Hsin Chu Taiwan

We present a new method for learning to parse a bilingual sentence using Inversion Transduction Grammar trained on a parallel corpus and a monolingual treebank. The method produces a parse tree for a bilingual sentence, showing the shared syntactic structures of individual sentence and the differences of word order within a syntactic structure. The method involves estimating lexical translation probability based on a word-aligning strategy and inferring probabilities for CFG rules. At runtime, a bottom-up CYK-styled parser is employed to construct the most probable bilingual parse tree for any given sentence pair. We also describe an implementation of the proposed method. The experimental results indicate the proposed model produces word alignments better than those produced by Giza++, a state-of-the-art word alignment system, in terms of alignment error rate and F-measure. The bilingual parse trees produced for the parallel corpus can be exploited to extract bilingual phrases and train a decoder for statistical machine translation.

关键词： Forestry

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Building an English-Iraqi Arabic machine translation system for spoken utterances with limited resources

Building an English-Iraqi Arabic machine translation system ...

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INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

作者： Riesa, Jason Mohit, Behrang Knight, Kevin Marcu, Daniel Department of Computer Science Johns Hopkins University Baltimore MD 21218 United States Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States Information Sciences Institute University of Southern California Marina del Rey CA 90292 United States

ISBN: (纸本)9781604234497

This paper presents an English-Iraqi Arabic speech-to-speech statistical machine translation system using limited resources. In it, we explore the constraints involved, how we endeavored to mitigate such problems as a non-standard orthography and a highly inflected grammar, and discuss leveraging existing plentiful resources for Modern Standard Arabic to assist in this task. These combined techniques yield a reduction in unknown words at translation time by over 40% and a +3.65 increase in BLEU score over a previous state-of-the-art system using the same parallel training corpus of spoken utterances.

关键词： computer aided language translation

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Challenges associated with privacy in health care industry: Implementation of HIPAA and the security rules

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Journal of Medical systems 2006年第1期30卷 57-64页

作者： Choi, Young B. Capitan, Kathleen E. Krause, Joshua S. Streeper, Meredith M. Department of Computer Information Systems and Management Science James Madison University Harrisonburg VA 22807-0001 United States Communication Sciences and Disorders Program James Madison University Harrisonburg VA 22807-0001 United States Department of Integrated Science and Technology James Madison University Harrisonburg VA 22807-0001 United States

This paper discusses the challenges associated with privacy in health care in the electronic information age based on the Health Insurance Portability and Accountability Act (HIPAA) and the Security Rules. We examine the storing and transmission of sensitive patient data in the modern health care system and discuss current security practices that health care providers institute to comply with HIPAA Security Rule regulations. Based on our research results, we address current outstanding issues that act as impediments to the successful implementation of security measures and conclude the discussion and offer possible avenues of future research. © Springer Science+Business Media, Inc. 2006.

关键词： Electronic data interchange (EDI) Health Insurance Portability and Accountability Act (HIPAA) Protected health information (PHI) Security rule

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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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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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Managing Distributed Denial-Of-Service Attacks

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EDPACS 2006年第5期30卷 7-20页

作者： Tommie Singleton Ph.D., CPA, CISA, CITP Professor of accounting and computer information systems (CIS) at the University of North Alabama (UNA) and director of the forensic accounting program. Prior to obtaining his doctorate Singleton was president of a small value-added dealer of accounting information systems and microcomputers for 11 years. Over the past decade Singleton has published numerous articles in journals related to information technology or accounting and has presented numerous papers at regional national and international conferences.

For electronic commerce (E-commerce) entities, security incidents continue to be the most significant risk (in terms of costs) associated with their businesses. Distributed denial-of-service (DDoS) attacks have a debilitating effect on commercial transactions because commerce entities cannot do any legitimate business. Although it is impossible to completely stop all DDoS attacks, there are some tools to assist auditors and security professionals in the management of this critical threat. This article attempts to provide information, tools, and techniques that can minimize the DDoS risk, to the degree possible.

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Ontology Modelling and Engineering for Product Development Process Description and Integration

Ontology Modelling and Engineering for Product Development P...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Q. Z. Yang C. Y. Miao Y. Zhang R. Gay PLM Program Singapore Institute of Manufacturing Technology Singapore School of Computer Engineering Nanyang Technological University Singapore Computing and Information Systems Stansfield College Singapore School of EEE Nanyang Technological University Singapore

This paper presents an ontology modeling and engineering approach to semantic description and integration of product development processes. Using OWL and OWL-S, the proposed method formalizes the underlying semantic representations of the product development process in domain object ontologies and the generic problem solving structures in domain task ontologies. Both the domain object and task ontologies are incorporated in the OWL-S based application service ontologies to facilitate the semantic process description and semantic service discovery, composition in the integration of product development processes. The approach has been applied to the development of ontological models for the consumer product development process in a pilot project of a national research program in Singapore namely the Integrated Manufacturing and Service systems (IMSS).

关键词： Ontologies Product development Terminology Collaboration OWL Standardization Resource description framework computer aided manufacturing Manufacturing processes Virtual manufacturing

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A high - Speed reclosing operation with fault current limiter

A high - Speed reclosing operation with fault current limite...

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IASTED International Conference on Energy and Power systems

作者： Fujita, Junya Iwatsuki, Toshiharu Yukita, Kazuto Hosoe, Tadashi Goto, Yasuyuki Ichiyanagi, Katsuhiro Hoshino, Yukio Yamamoto, Nobuyuki Sugimoto, Shigeyuki Avatchanakorn, Vichit Department of Electrical and Electronics Engineering Aichi Institute of Technology 1247 Yagusa Yachigusa Toyota Aichi 470-0392 Japan Research and Development Division Chubu Electric Power Co. Inc. 20-1 Kitasekiyama Ohdaka-cho Midori-ku Nagoya 459-8522 Aichi Japan Program in Computer Information Systems Assumption University ABAC Ramkhamhaeng Soi 24 Hua Mark Bangkok 10240 Thailand

ISBN: (纸本)0889865868

This paper proposes a new high-speed reclosing operation method to improve the stability in power system with the fault current limiter. From an angular velocity, a field system voltage and a phase of the generator, the proposed operation method calculates the optimum reclosing time domain. The fault current limiter is used the reactance type or the resistive type. The examination was carried out using the Inst. of Electrical Engineers of Japan one-machine infinite bus system model in order to demonstrate the effectiveness of the proposed method. The Impact Ver2.3 was used in the computer simulation.

关键词： Limiters

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Data Storage Media Sanitization Procedures at the U.S. Agency For International Development (USAID)

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EDPACS 2006年第8期29卷 11-19页

作者： James Craft William Cleveland The Information Systems Security Officer at the United States Agency for International Development (USAID) Bureau for Management Information Resources Management (M/IRM) Information Systems Security Team. He has a BS in business management from George Mason University and has 22 years of experience focusing primarily on systems engineering cybersecurity and enterprise operations. He has played a major role in the implementation of the U.S. Government's Model Information Security Policy. The USAID PRIME Security Program Manager Computer Sciences Corporation in Arlington Virginia. He has MS degrees in information and telecommunications systems management and in military science. Cleveland has over 20 years of experience in the planning and management of a wide variety of functions including business process reengineering and IT security.

This article is derived from a Best Security Practice (BSP) developed by the U.S. Agency for International Development (USAID), Bureau for Management, information Resources Management (M/IRM), information systems Security Team. The USAID is an independent agency that provides economic, development, and humanitarian assistance around the world in support of the foreign policy goals of the United States. It is located in the Ronald Reagan Building in Washington, D.C.

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