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IEEE Annual Conference on Wireless and Microwave Technology (WAMICON)

作者： Charles Baylis Lawrence Dunleavy Rick Connick Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco TX USA Center of Wireless and Microwave Information Systems Department of Electrical Engineering University of South Florida Tampa FL USA Modelithics Inc. Tampa FL USA

The success of simulation-based design of power amplifiers for wireless communications is limited by the accuracy of nonlinear models that are used to represent the transistors. This paper provides some considerations that should be taken into account in measurement-based modeling of GaN transistors. With GaN modeling, particular attention needs to be paid to thermal and trapping issues. The use of pulsed measurements as part of the modeling process is critical to obtaining reliable GaN models. Established models such as EEHEMT, Angelov, and CFET can be successfully used in representing GaN devices.

关键词： Gallium nitride HEMTs Pulse measurements Equations Power system modeling Current measurement Power measurement Microwave devices Power amplifiers Testing

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Duty cycle dependent pulsed IV simulation and thermal time constant model fitting for LDMOS transistors

Duty cycle dependent pulsed IV simulation and thermal time c...

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ARFTG Conference

作者： Sivalingam Somasundaram Meena Charles Baylis Lawrence Dunleavy Marvin Marbell Center of Wireless and Microwave Information Systems Department of Electrical Engineering University of South Florida Tampa FL USA Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco TX USA Modelithics Inc. Tampa FL USA

A pulsed simulation approach is demonstrated for prediction of duty-cycle dependent thermal effects in transistors. Also a novel method is shown for fitting and/or validating electro-thermal models using pulsed IV measurements and pulsed IV simulations. A commercial LDMOS device is used to demonstrate the new methods. After extracting the thermal time constant, good agreement is achieved between measured and simulated pulsed IV results under a wide range of different pulse conditions including DC, very short (<0.1%) duty cycles, and varied pulse widths between these extremes. A three-pole electro-thermal equivalent circuit model was shown to improve the model data fitting for intermediate pulse widths.

关键词： Pulse measurements Space vector pulse width modulation Predictive models MOSFETs Thermal resistance Heating Pulse circuits Circuit simulation Computer simulation Thermal engineering

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AAAI 2008 workshop reports

AAAI 2008 workshop reports

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作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;Intelligent Techniques for Web Personalization and Recommender systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and Robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Abstracts from the 2011 Joint Annual Meeting of the Society for Northwestern Vertebrate Biology and Washington Chapter of the Wildlife Society, Held at the Wesley Inn, Gig Harbor, Washington, March 23–25, 2011

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Northwestern Naturalist 2011年第2期92卷 136-166页

作者： Michael J. Adams Christopher A. Pearl Jessica Y. Adkins Daniel D. Roby Ladd Bayliss Peter J. Loschl Donald E. Lyons Yasuko Suzuki Hannah E. Anderson Sarah T. Hamman Keith B. Aubry Catherine M. Raley John J. Rohrer Eric C. Lofroth Scott H. Fitkin Michael L. Best Hartwell H. Welsh Jamie B. Bettaso Don T. Ashton Hartwell H. Welsh Scott McBain Lindsay M. Biga Andrew R. Blaustein Susan F. Brady R. Steven Wagner Daniel J. Selski James E. Johnson R. Bruce Bury Wynn W. Cudmore Hartwell H. Welsh Nathan D. Chelgren Tara Chestnut Chaucney W. Anderson Julie Kirshtein Megan T. Cook Tiffany S. Garcia Stephen Corn Erin Muths Amanda Kissel Rick Scherer Eric Delvin Jonathan D. Bakker Peter W. Dunwiddie Diana L. Dishman Deborah A. Duffield Harriet R. Huber Dyanna M. Lambourn Karen M. Dvornich Greg Falxa Gary M. Fellers Patrick M. Kleeman David Miller Brandon Fessler Jason T. Irwin Daniel D. Beck R. Steven Wagner Marc P. Hayes John A. Frew Christian E. Grue Chris R. Friesen Robert T. Mason Stevan J. Arnold Suzanne Estes Tiffany S. Garcia Katie M. Dugger Josh Johnson Mike Rochelle A. J. Kroll Stephanie S. Gervasi Caren S. Goldberg Dan Davis Erica Bree Rosenblum Bill Bosworth Lisette P. Waits Purnima Govindarajulu Gregory A. Green Steve Negri Jennifer R. Griffiths Daniel E. Schindler Christian E. Grue Karen M. Dvornich Adam G. Hansen David A. Beauchamp Casey M. Baldwin Marc P. Hayes Gretchen Padgett-Flohr Blake R. Hossack Winsor H. Lowe Paul Stephen Corn Aaron N. Johnston Kris Kendell Dave Prescott Scott Stevens Peter M. Kiffney Carol Volk Kerensa A. King Christian E. Grue James M. Grassley Andrew J. Kroll Matt Hane Josh Johnston Mike Rochelle Stuart Farber Niels Leuthold Michael J. Adams John P. Hayes Bo Li Michael T. Brett Kent B. Livezey Ilon E. Logan Teresa J. Lorenz Kimberly A. Sullivan Amanda V. Bakian Deanna Lynch Nancy Thomas Krysten Schuler Steven Jeffries Joshua Malt Kelly R. McAllister Joanne P. Schuett-Hames Aimee P. McIntyre Jay E. Jones Eric M. Lund Frithiof T. Waterstrat Jack N. Giovanini Stephen D. Duke Marc P. Hayes US Forest Service Pacific Northwest Research Station Olympia WA 98512 kaubry@fs.fed.us US Forest Service Okanogan-Wenatchee National Forest Methow Valley Ranger District Winthrop WA 98862 British Columbia Ministry of Environment Victoria BC V8W9M1 Washington Department of Fish and Wildlife Winthrop WA 98862 Humboldt State University 1 Harpst St. Arcata CA 95521 addsmike14@*** US Forest Service Pacific Southwest Research Station 1700 Bayside Dr. Arcata CA 95521 hwelsh@fs.fed.us US Fish and Wildlife Service Arcata Field Office 1655 Heindon Road Arcata CA 95521 jamie_bettaso@fws.gov Redwood Sciences Laboratory US Forest Service1700 Bayview Drive Arcata CA 99521 dashton@fs.fed.us hwelsh@fs.fed.us McBain &amp Trush 980 7th Street Arcata CA 95521 scott@*** Oregon State University Environmental Sciences Graduate Program Corvallis OR 97331 lindsay.biga@science.oregonstate.edu Oregon State University Department of Zoology Corvallis OR 97331 US Geological Survey Forest and Rangeland Ecosystem Science Center 3200 SW Jefferson Way Corvallis OR 97331 buryb@usgs.gov Life Science Department Chemeketa Community College Salem OR 97309 wynn.cudmore@chemeketa.edu US Forest Service Redwood Sciences Laboratory 1700 Bayview Drive Arcata CA 95521 hwelsh@fs.fed.us USGS Oregon Water Science Center 2130 SW 5th Avenue Portland OR 97207 chestnut@usgs.gov USGS Headquarters 12201 Sunrise Valley Drive Reston VA 20192 US Geological Survey Northern Rocky Mountain Science Center Aldo Leopold Wilderness Research Institute 790 E. Beckwith Avenue Missoula MT 59801 scorn@usgs.gov US Geological Survey Fort Collins Science Center 2150 Centre Avenue Building C Fort Collins CO 80526 Department of Biological Sciences Simon Fraser University Burnaby BC V5A 1S6 Colorado State University Department of Fishery and Wildlife Biology Fort Collins CO 80523 The Nature Conservancy 120 Union Ave SE Olympia WA 98501 edelvin@tnc.org School of Forest Resources University of Washington Seattle WA

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Predicting Leptodactylus (Amphibia, Anura, Leptodactylidae) Distributions: Broad-Ranging Versus Patchily Distributed Species Using a Presence-Only Environmental Niche Modeling Technique

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South American Journal of Herpetology 2009年第2期4卷 103-116页

作者： Miguel Fernández Daniel Cole W. Ronald Heyer Steffen Reichle Rafael O. De Sá 1Center for Biodiversity and Research California Academy of Sciences 55 Music Concourse Drive Gol 2Environmental Systems Graduate Group School of Engineering University of California Merced PO B 3Information Technology Office National Museum of Natural History MRC 136 PO Box 37012 Smithsoni 4Amphibians and Reptiles National Museum of Natural History MRC 162 PO Box 37012 Smithsonian Ins 5The Nature Conservancy Southern Andes Conservation Program Avenida 2 de Agosto/4. Anillo Bolfor 6Rafael O. de Sá Department of Biology University of Richmond Richmond Virginia 23173 USA.

Locality data available for many, if not most, species of Neotropical frogs are based on written descriptions of the collecting sites, not on GPS device determined coordinate data. The pre-GPS device data are imprecise relative to GPS data. Niche modeling is a powerful technique for predicting geographic distributions that provides the best results when the locality data are precise. The purpose of this study is to determine whether imprecise historical locality data are sufficient such that niche modeling techniques can yield realistic new insights to species-level distributions. Two sets of frogs of the genus Leptodactylus that have known different kinds of distributions are evaluated: two species with broad, presumably continuous distributions, and four species known to occur in patchy, disjunct habitats in South America. BIOCLIM, a presence-only environmental niche modeling algorithm,was used to define suitable occupancy areas based on multiple sets of environmental parameters that include: monthly mean, max, and min temperatures, and monthly precipitation. A Nature Conservancy — Natureserve ecoregion layer and a high resolution elevation layer were also included in the analyses. Our analyses yield new realistic insights and questions regarding distributions of the Leptodactylus species we evaluated. We recommend incorporation of the Nature Conservancy — Natureserve layer to evaluate Neotropical distributions, as the layer gave much more robust results than use of only the climatic variable analyses.

关键词： environmental niche modeling Leptodactylus. locality data precision

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Building an entrepreneurial engineering ecosystem for future generations: The Kern Entrepreneurship Education Network

Building an entrepreneurial engineering ecosystem for future...

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2008 ASEE Annual Conference and Exposition

作者： Blessing, Jeffrey Mekemson, Kristen Pistrui, David Milwaukee School of Engineering Management Information Systems Program Milwaukee School of Engineering Kern Family Foundation Illinois Institute of Technology Chicago IL United States Department of Business IIT Acumen Dynamics LLC

The integration of entrepreneurship and innovation into undergraduate engineering education has been found to enhance student performance and improve retention rates (Ohland, 2004). It also prepares graduating engineers to work in rapidly changing environments defined by a competitive global marketplace. Industry is asking for engineers with better communication and teamwork skills, and most importantly, a broader understanding of how to solve real world problems and create value in the marketplace. While some engineering schools are beginning to integrate entrepreneurship and business concepts into the curriculum, many ABET-accredited schools are slow to react to the needs of industry and the marketplace. Recognizing that this problem is threatening the quality of U.S. engineering talent, the Kern Family Foundation established the Kern Entrepreneurship Education Network (KEEN) with the mission to create an action-oriented, entrepreneurial mindset among engineering, science and technical undergraduates. The KEEN initiative, launched in 2005, represents a new and unique entrepreneurial approach to improving undergraduate education in the U.S. This paper shows how building an entrepreneurial ecosystem within and among engineering schools, as exemplified by KEEN, will provide a strong foundation for graduating engineers entering organizations operating in an innovation-based economy. Ecosystems can be defined as environments with interconnected relationships influenced by a variety of factors. An entrepreneurial ecosystem links people by vision, commitment, passion, and innovation surrounding the achievement of a common goal. The paper has five objectives: (1) establish the need for an innovative and entrepreneurial talent pool coming out of U.S. engineering schools;(2) identify critical skills and abilities that can be taught to fulfill this need;(3) describe KEEN from its inception, documenting how new and innovative entrepreneurship-based undergraduate engineering e

关键词： Ecosystems

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information technology literacy for non-engineers

Information technology literacy for non-engineers

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2008 ASEE Annual Conference and Exposition

作者： Suchan, William Schwartz, Susan Sobiesk, Edward United States Military Academy Information Technology Core Program Department of Electrical Engineering and Computer Science United States Military Academy Information Technology Core Program Department of Electrical Engineering and Computer Science United States Military Academy Course IT305-Theory and Practice of Military IT Systems Department of Electrical Engineering and Computer Science United States Military Academy

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Influence of cognitively distracting activity on driver’s eye movement during preparation of changing lanes

Influence of cognitively distracting activity on driver’s e...

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SICE Annual Conference

作者： Huiping Zhou Makoto Itoh Toshiyuki Inagaki Doctoral Program in Risk Engineering Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan Department of Risk Engineering Faculty of Systems and Information Engineering University of Tsukuba Tsukuba Japan

ISBN: (纸本)9784907764302

This paper investigates driverpsilas behavior of checking a traffic situation by analyzing driverpsilas eye movement when the driver is cognitively distracted during preparation of changing lanes. We made an experiment with a motion-based driving simulator under conditions of several types of secondary tasks. Collected data resulted in lower detection rates of intent of changing lanes, less checking behaviors and longer time length of checking behavior. These facts clarified that there are discrepancies between secondary tasks and no secondary one. It showed an influence of cognitively distracting activity on driverpsilas behavior.

关键词： Eye movement Distraction Driver behavior Intent inference Changing lanes Eye Movements Driver Behavior distractability Lanes Drivers detection rate (DR) activity driver circuits

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Achieving compelling student comprehension of complex information structures for both on-site and on-line courses

Achieving compelling student comprehension of complex inform...

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2008 ASEE Annual Conference and Exposition

作者： Uhlig, Ronald Farahani, Alireza Viswanathan, Shekar Evans, Howard Sotelo, Mark National University Department of Computer Science and Information Systems School of Engineering and Technology National University Wireless Communications for the Master ot Science in Wireless Communications Program International Telecommunications Academy School of Engineering and Technology Department of Applied Engineering Lead Faculty for Engineering Management and Homeland Security and Safety Engineering Academic Computing for National University

Teaching engineering and technology subjects involves conveying understanding of abstract information structures and processes such as complex telecommunications protocols, complex mathematical concepts, and data structures. These are multidimensional and can be difficult to grasp quickly. Supported by a Hewlett-Packard (HP) Technology for Teaching grant, the School of engineering and Technology at National University has embarked on a project to enable students to grasp these complex concepts more quickly and easily, using continuous dialog among students and instructors as the structures are first introduced and then examined from multiple perspectives through real-time interaction among students, small groups, and instructors. HP Wireless Tablet PCs are used to discuss and experiment with diagrams and processes in realtime. This allows combining lectures and problem-solving sessions into a single class session. Our hypothesis is that: 1) an in-depth learning of theory is accomplished, and 2) student engagement is enhanced. Presentation of theory by the instructor is integrated with application while the theory is still in the student's short-term memory. Students no longer have to wait for a separate session such as a recitation session to apply the concepts. This approach often takes less time. In addition to accelerating the learning process, expert instructors find this approach more rewarding as students grasp new concepts more quickly. Analysis of data captured from both students and instructors are presented to support our hypotheses, and our results are compared with similar research carried out by other universities. In addition, the level of interaction enabled by the use of HP Tablets in on-line classes is discussed. The best teaching tools available in existing on-line teaching platforms are compared with the additional tools available in on-site courses when every student has a wireless Tablet PC and specific recommendations are made to on-line teachi

关键词： Students

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Recommending mobile content using content diffusion and user preference transition

Recommending mobile content using content diffusion and user...

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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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