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74th ARFTG Microwave Measurement Conference - System Modeling and Measurement for High Accuracy Verification

作者： Baylis, Charles Perry, Joseph Moldovan, Matthew Marks II, Robert J. Dunleavy, Lawrence Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco TX 76798 United States Center for Wireless and Microwave Information Systems Department of Electrical Engineering University of South Florida Tampa FL 33620 United States Modelithics Inc. Tampa FL 33612 United States

ISBN: (纸本)9781424457137

In a previous ARFTG paper, we presented the measurement of the thermally-induced transient drain voltage response of a power Si MOSFET to a step excitation in gate voltage. The data was fit by assuming the drain voltage takes an exponential shape. This relies on the assumption that the drain current is a step function, which is actually only approximate due to the dependence of the drain current on temperature. In this work, we show that the exponential approximation actually possesses the same asymptotic behavior of a more accurate, model-based solution we have obtained that incorporates thermal feedback. We show that the more theoretically accurate solution and exponential approximation of the solution both provide excellent fits to measured data for the Si MOSFET. © 2009 IEEE.

关键词： Power MOSFET

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Rapid modeling and analysis with QGENIE

Rapid modeling and analysis with QGENIE

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International Multiconference on computer Science and information Technology, IMCSIT

作者： Marek J. Drużdżel Faculty of Computer Science Białystok Technical University (BTU) Bialystok Poland Decision Systems Laboratory School of Information Sciences and Intelligent Systems Program University of Pittsburgh Pittsburgh PA USA

QGENIE is a specialized interface to GENIE, a decision modeling environment developed by the Decision systems Laboratory, University of Pittsburgh. QGENIE allows for rapid construction of graphical models in which all variables are propositional, almost no numerical probabilities are displayed at the user interface, and degrees of truth of propositions are displayed by means of node colors. All numerical parameters, such as prior probability distributions over variables and strengths of influences between variables, are entered by means of graphical sliders. While the underlying computations are all numerical and based on Bayesian updating, QGENIE makes the impression of a qualitative, ¿order of magnitude¿ type system that aids rapid model building and an approximate analysis of systems.

关键词： Bayesian methods User interfaces Probability distribution Random variables Business Brain modeling computer science Graphical models Predictive models information technology

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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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74th ARFTG Microwave Measurement Conference - System Modeling and Measurement for High Accuracy Verification

作者： Meena, Sivalingam Somasundaram Baylis, Charles Dunleavy, Lawrence Marbell, Marvin Center for Wireless and Microwave Information Systems Department of Electrical Engineering University of South Florida Tampa FL United States Modelithics Inc. Tampa FL United States Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco TX United States Modelithics Inc. United States Infineon Technologies Morgan Hill CA United States

ISBN: (纸本)9781424457137

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 (

关键词： Equivalent circuits

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Passive construction of diagnostic decision models: An empirical evaluation

Passive construction of diagnostic decision models: An empir...

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International Multiconference on computer Science and information Technology, IMCSIT

作者： Parot Ratnapinda Marek J. Druzdzel Decision Systems Laboratory School of Information Science University of Pittsburgh Pittsburgh PA USA Faculty of Computer Science Białystok Technical University (BTU) Bialystok Poland Decision Systems Laboratory School of Information Science and Intelligent Systems Program University of Pittsburgh Pittsburgh PA USA

Bayesian networks have proven their value in solving complex diagnostic problems. The main bottleneck in applying Bayesian networks to diagnosis is model construction. In our earlier work, we proposed passive construction of diagnostic models based on observation of diagnosticians solving diagnostic cases. This idea has never been tested in practice. In this paper, we describe an experiment that tests an interactive prototype system called MARILYN on implementation of a system based on passive construction of diagnostic model, by inputting four hundred help desk cases collected at the University of Pittsburgh campus computing lab. We show that while the system's diagnostic accuracy continues to increase with the number of cases, it reaches very reasonable levels after merely tens of cases.

关键词： Bayesian methods Probability distribution Light emitting diodes computer science Laboratories Testing Prototypes computer networks Hardware Buildings

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Use of a step-response approximation for thermal transient modeling in power MOSFETs

Use of a step-response approximation for thermal transient m...

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ARFTG Conference

作者： Charles Baylis Joseph Perry Matthew Moldovan Robert J. Marks Lawrence Dunleavy Wireless and Microwave Circuits and Systems Program Department of Electrical and Computer Engineering Baylor University Waco Waco TX USA Center of Wireless and Microwave Information Systems Department of Electrical Engineering University of South Florida Tampa FL USA

关键词： MOSFETs Temperature Time measurement Electrothermal effects Thermal resistance Electrical resistance measurement Power measurement Voltage measurement Thermal engineering Power system modeling

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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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Modeling considerations for GaN HEMT devices

Modeling considerations for GaN HEMT devices

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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

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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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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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

No abstract available

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