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10th Annual Joint Conference on Digital Libraries, JCDL 2010

作者： Cassel, Lillian N. Fox, Edward A. Furuta, Richard Delcambre, Lois m.L. Villanova University Dept. of Computing Sciences Villanova PA 19085 United States Virginia Tech. Dept. Computer Science Blacksburg VA 24061 United States Texas A and M University Dept. of Computer Science and Engineering College Station TX 77843 United States Portland State University Computer Science Dept. Portland OR 97207-0751 United States

ISBN: (纸本)9781450300858

The Ensemble computing education portal is part of the US NSF's National science Digital Library (NSDL). The underlying assumption in Ensemble's design is that people will not come just because we build something new. The information must be available from wherever potential users are. This poster describes early efforts to provide multiple community oriented entry points to multiple sources relevant to computing educators.

关键词： Portals

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Localized Energy Conservation Algorithm

Localized Energy Conservation Algorithm

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2010 3rd IEEE International Conference on computer science and Information technology—ICCSIT 2010

作者： Richa Goyal Suneeta Agarwal Saurabh Jain Corresponding author and M.Tech Ⅳ Semester Student Faculty member Department of Computer Science and Engineering Motilal Nehru National Institute of Technology Allahabad-211004India Software Engineer Zensar Technologies LTDPune-411014MaharashtraIndia

＜正＞Energy is one of the most important metric when we talk about mobile ad-hoc *** order to increase the system’s life-time,energy consumption has to be minimized. Here we will look at some energy saving *** initial analysis tells us that LECA conserves more energy than SPAN or any other *** present a Localized Energy Conservation Algorithm（LECA）[3]for routing in mobile Adhoc Networks（mANETs）,to reduce energy consumption while being able to maintain performance *** LECA a small subset of nodes,called coordinators,is selected to participate in routing while the others are put off to conserve *** number of coordinators selected is lower than the corresponding number in the existing *** makes it possible for the network to attain high performance levels although a sparse set of coordinators are elected to reduce energy consumption to the bare minimum,we proposed a localized algorithm for conservation of energy in mANETs, without compromising the system *** algorithm presented here（LECA） selects minimum number of coordinators which constitute a connected backbone.

关键词： mobile Ad-Hoc networks Networking technologies SPAN（An Energy-Efficient corrdination algorithmn）.Planner and Non-Planner system

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A structured approach to fuzzy abduction based on contraposition property of propositional logic

A structured approach to fuzzy abduction based on contraposi...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Aruna Chakraborty Amit Konar Atulya K. Nagar Visiting Faculty in the M.Tech Course on Intelligent Automation and Robotics Jadavpur University Calcutta India Artificial Intelligence Laboratory Department of Electronics and Telecommunication Engineering Jadavpur University Calcutta India Department of Computer Science Liverpool Hope University Liverpool UK

The paper proposes a new approach to fuzzy abduction by extending the contraposition rule of propositional logic. The main difficulty of fuzzy abduction is due to the restriction of single antecedent clause in a fuzzy production rule. When more than one antecedent clause occurs jointly in a fuzzy rule, the membership value of the derived antecedent clauses become equal, which should not be the case in general. The paper overcomes this problem and demonstrates a simple but elegant method to compute premises in a multi-chained reasoning system.

关键词： Production Firing Cognition Fuzzy sets Electronic mail computer science

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Outstanding performance of a nanofilm microstrip antenna

Outstanding performance of a nanofilm microstrip antenna

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2010 4th IEEE Nanotechnology materials and Devices Conference, NmDC2010

作者： Urbani, Fabio Stollberg, David W. Verma, Amit Department of Engineering University of Texas at Brownsville Brownsville TX 78520 United States Georgia Tech. Research Institute Georgia Institute of Technology Atlanta GA 30332 United States Department of Electrical Engineering and Computer Science Texas A and M University-Kingsville Kingsville TX 78363 United States

ISBN: (纸本)9781424488964

We report on the fabrication of a microstrip antenna with an ultra-thin Iron film patch with thickness of approximately 10 nm. The antenna showed excellent response in terms of performance and reliability. In addition, the antenna demonstrated potential for ultra-wide band applications. Such antennas may therefore have significant promise for system-on-chip, space application, and other specialized applications. © 2010 IEEE.

关键词： microstrip antennas

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Binary Neural Network Classifier and it's Bound for the Number of Hidden Layer Neurons

Binary Neural Network Classifier and it's Bound for the Numb...

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International Conference on Control, Automation, Robotics and Vision

作者： Narendra S. Chaudhari Aruna Tiwari Computer Science and Engineering Indian Institute of Technology Indore M-Block IET-DAVV campus Khandwa Road Indore 452017 (MP) India Computer Engineering Shri G. S. Inst. Of Tech. and Science Indore India

ISBN: (纸本)9781424478149

In this paper, a Binary Neural Network Classifier (BNNC) is proposed in which hidden layer training is done in parallel. Learning Algorithm for the BNNC is described, which is based on the principle of Fast Covering Learning Algorithm (FCLA) proposed by Wang and Chaudhari [1]. The BNNC offers high degree of parallelism in hidden layer formation. Each module in the hidden layer of BNNC is exposed to the patterns of only one class. For achieving better accuracy, issue of overlapped classes are also handled. The method is tested on few benchmark datasets, accuracies are within the acceptable range. Due to parallelism at hidden layer level, training time is decreased, therefore, it can be used for voluminous realistic database. An analytical formulation is developed to evaluate the number of hidden layer neurons, it is in the O(log(N)), where N represents the number of inputs.

关键词： BNN Hypersphere overlapped classes Lower bound

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Outstanding performance of a nanofilm microstrip antenna

Outstanding performance of a nanofilm microstrip antenna

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IEEE Nanotechnology materials and Devices Conference (NmDC)

作者： Fabio Urbani David W. Stollberg Amit Verma Department of Engineering University of Texas Brownsville Brownsville TX USA Georgia Institute of Technology Georgia Tech Research Institute Georgia Institute of Technology Atlanta GA USA Department of Electrical Engineering and Computer Science Texas A and M University Kingsville Kingsville TX USA

关键词： microstrip antennas Iron microstrip microwave antennas Films Antenna radiation patterns

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Charting out the octopus connectome at submicron resolution using the knife-edge scanning microscope

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BmC Neuroscience 2010年第1期11卷 1-2页

作者： Yoonsuck Choe John Keyser Daniel miller Louise C Abbott Jaerock Kwon Giovanna Ponte Anna maria Grimaldi Graziano Fiorito David mayerich Donghyeop Han David B Edelman Jeffrey L mcKinstry Department of Computer Science Texas A&M University College Station TX 77843 USA Department of Veterinary Integrative Biosciences Texas A&M University College Station TX 77843 USA Stazione Zoologica Anton Dohrn Naples Italy Department of Electrical and Computer Engineering Kettering University Flint MI 48504 USA Beckman Inst. for Advanced Sci. and Tech. University of Illinois at Urbana -Champaign Urbana IL 61801 USA Samsung Electronics Seoul Korea The Neurosciences Institute San Diego CA 92121 USA

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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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Impact sensitivity of variable density composite energetic materials

Impact sensitivity of variable density composite energetic m...

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Nano- and microscale materials-mechanical Properties and Behavior under Extreme Environments

作者： Hunt, Emily Pantoya, michelle L. Engineering and Computer Science West Texas A and M University Canyon TX 79015 United States Mechanical Engineering Department Texas Tech University Lubbock TX 79409-1021 United States

ISBN: (纸本)9781615673865

High density intermetallic composites are being considered as a replacement for kinetic energy projectiles in ordnance applications. These composites release a large amount of chemical energy upon penetration and provide an enhanced blast effect on the target;in comparison to inert projectiles. A fundamental understanding of the response to mechanical initiation as a function of the composite's compositional and bulk density are presented for aluminum-based intermetallics. Composites ranged in compositional density from 3.5 to 17.9 g/cc and included Al-Ti, Al-Ni, AlW, Al-Hf, Al-Zn pressed to bulk densities that ranged from 50 to 80 % of the theoretical maximum. Aluminum particle size was also investigated and ranged from nanometer to micronscale spherical diameters. Ignition was stimulated via a modified type-12 impact tester used to measure the sensitivity of the composite to drop-weight impact. The tests were recorded using high-speed thermal imaging to ensure a positive reaction. Results show that the nano Al particle composites are more sensitive to impact ignition than their micron scale counterparts. Generally, as bulk density increases, the samples become increasingly sensitive to ignition and display on average a 70% decrease in ignition energy. Compositional density also plays a critical role in ignition energy, As the density of the composite increases, regardless of the Al particle size, the composites become more sensitive to ignition. Results show that at the same bulk density, higher density composites such as Al-W require 80% less ignition energy than lower density composites such as Al-Ti (1.01 cm compared with 0.34 cm, respectively). © 2009 materials Research Society.

关键词： Binary alloys

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multijunction fault-tolerance architecture for nanoscale crossbar memories

Multijunction fault-tolerance architecture for nanoscale cro...

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作者： Coker, Ayodeji Taylor, Valerie Bhaduri, Debayan Shukla, Sandeep Raychowdhury, Arijit Roy, Kaushik Department of Computer Science Texas A and M University College Station TX 77843-3112 United States Department of Electrical and Computer Engineering Virginia Tech. Blacksburg VA 24061-0111 United States Department of Electrical and Computer Engineering Purdue University West Lafayette IN 47907-2035 United States

Nanoscale elements are fabricated using bottom-up processes, and as such are prone to high levels of defects. Therefore, fault-tolerance is crucial for the realization of practical nanoscale devices. In this paper, we investigate a fault-tolerance scheme that utilizes redundancies in the rows and columns of a nanoscale crossbar molecular switch memory array. In particular, we explore the performance tradeoffs of time delay, power, and reliability for different amounts of redund-ancies. The results indicate an increase in fault-tolerance with small increases in delay and area utility. © 2008 IEEE.

关键词： Data storage equipment

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