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2009 Design, Automation and Test in Europe Conference and Exhibition, DATE '09

作者： Graeb, H. Balasa, F. Castro-Lopez, R. Chang, Y.-W. Fernandez, F.V. Lin, P.-H. Strasser, M. Dept. of Computer Science and Information Systems Southern Utah University United States Institute of Microelectronics of Sevilla CSIC University of Sevilla Spain Graduate Institute of Electronics Engineering National Taiwan University Taiwan Institute for EDA Technische Universitaet Muenchen Germany

ISBN: (纸本)9783981080155

This paper gives an overview of some recent advances in topological approaches to analog layout synthesis and in layout-aware analog sizing. The core issue in these approaches is the modeling of layout constraints for an efficient exploration process. This includes fast checking of constraint compliance, reducing the search space, and quickly relating topological encodings to placements. Sequence-pairs, B*-trees, circuit hierarchy and layout templates are described as advantageous means to tackle these tasks. © 2009 EDAA.

关键词： Topology

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Multispectral image fusion using Walidlet transform

Advances in Modelling and Analysis B

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Advances in Modelling and Analysis B 2009年第1-2期52卷 1-20页

作者： Al-Heladi, A.H.M. Mahmmoud, W.A. Hali, H.A. Fadhel, A.F. Software Engineering and Computer Information Systems Dept. Al-Isra Private University P.O.B. 22 Amman 11622 Jordan University of Baghdad College of Engineering Baghdad Iraq

In various mapping and remote sensing applications, fusion technique might be adopted in order to obtain a better understanding of a scene, high spatial/high spectral resolutions images by combining multispectral and panchromatic images is very important issue. Recently, various wavelet-based image fusion techniques were developed to provide high quality of the spectral content in fused image. But, these wavelet-based methods have a drawback in spatial resolution of the fused result In this paper, a new method of image fusion is introduced. The proposed method is based on a Hybrid transform called Walidlet transform (WLT), which is an extensions of Ridge let transform. It uses multiwavelet transform instead of wavelet transform in the final steps of Ridgelet transform. Since edges and noise play a fundamental role in image understanding, hence this Walidlet transform is a good way to enhance the edges and reduce the noise. The proposed method of fusion provides richer information in spatial and spectral domains simultaneously as well as it has reached an optimum fusion result.

关键词： Remote sensing

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Methodologies for Self-Organising systems: A SPEM Approach

Methodologies for Self-Organising Systems: A SPEM Approach

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Mariachiara Puviani Giovanna Di Marzo Serugendo Regina Frei Giacomo Cabri Dept. of Information Engineering Univ. of Modena and Reggio Emilia Modena Italy Computer Science and Information Systems BBK College London United Kingdom

We define ’SPEM fragments’ of five methods for developing self-organising multi-agent systems. Self-organising traffic lights controllers provide an application scenario.

关键词： Intelligent agent Lighting control Control systems Unified modeling language Multiagent systems Microscopy Conferences computer science information systems Educational institutions

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Duplex narrowcasting operations for multipresent groupware avatars on mobile devices

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International Journal of Wireless and Mobile Computing 2009年第4期3卷 280-287页

作者： Cohen, Michael Fernando, Owen Noel Newton Duminduwardena, Uresh Chanaka Kawaguchi, Makoto Spatial Media Group University of Aizu Aizu-Wakamatsu Fukushima 965-8580 Japan Dept. of Computer and Information Systems Graduate School of Computer Science and Engineering University of Aizu Japan Software Engineering Services Dialog Telekom PLC Colombo Sri Lanka Japan Research Institute Tokyo Japan

The apparent paradoxes of multipresence, having avatars in multiple places simultaneously, are resolvable by an 'autofocus' feature, which uses reciprocity to project overlaid soundscapes and simulate the precedence effect to consolidate the display. We have developed an interface for narrowcasting functions for networked mobile devices deployed in a Collaborative Virtual Environment. Featuring multiple icons in a '2.5D' application, the interface can be used to control motion, sensitivity, and audibility of avatars in a teleconference. The interface is integrated with other clients through a 'servent' (server/client hybrid) HTTP-TCP/IP bridge, interoperating with a heterogeneous groupware suite including stereographic panoramic browsers and spatial audio backends and speaker arrays. Copyright © 2009 Inderscience Enterprises Ltd.

关键词： Groupware

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Towards sustainable infrastructure management: Knowledge-based service-oriented computing framework for visual analytics

Towards sustainable infrastructure management: Knowledge-bas...

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SPIE Defense, Security, and Sensing

作者： Vatcha, Rashna Lee, Seok-Won Murty, Ajeet Tolone, William Wang, Xiaoyu Dou, Wenwen Chang, Remco Ribarsky, William Liu, Wanqiu Chen, Shen-En Hauser, Edd Dept. of Software and Information Systems University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States Dept. of Computer Science University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States Charlotte Visualization Center University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States Dept. of Civil Engineering University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States

ISBN: (纸本)9780819476128

Infrastructure management (and its associated processes) is complex to understand, perform and thus, hard to make efficient and effective informed decisions. The management involves a multi-faceted operation that requires the most robust data fusion, visualization and decision making. In order to protect and build sustainable critical assets, we present our on-going multi-disciplinary large-scale project that establishes the Integrated Remote Sensing and Visualization (IRSV) system with a focus on supporting bridge structure inspection and management. This project involves specific expertise from civil engineers, computer scientists, geographers, and real-world practitioners from industry, local and federal government agencies. IRSV is being designed to accommodate the essential needs from the following aspects: 1) Better understanding and enforcement of complex inspection process that can bridge the gap between evidence gathering and decision making through the implementation of ontological knowledge engineering system;2) Aggregation, representation and fusion of complex multi-layered heterogeneous data (i.e. infrared imaging, aerial photos and ground-mounted LIDAR etc.) with domain application knowledge to support machine understandable recommendation system;3) Robust visualization techniques with large-scale analytical and interactive visualizations that support users' decision making;and 4) Integration of these needs through the flexible Service-oriented Architecture (SOA) framework to compose and provide services on-demand. IRSV is expected to serve as a management and data visualization tool for construction deliverable assurance and infrastructure monitoring both periodically (annually, monthly, even daily if needed) as well as after extreme events. © 2009 SPIE.

关键词： Decision making

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Directing Web Search Engines using a Knowledge Amplification by Structured Expert Randomization Architecture 1

Directing Web Search Engines using a Knowledge Amplification...

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1st International Conference on Sensor Networks and Applications, SNA 2009

作者： Rubin, S.H. Lombera, Isaí Michel Armella, Michael Conn, Jeremy Chen, S.C. Lee, G. SPAWAR - Systems Center 53560 Hull Street San DiegoCA92152-5001 United States Dept. of Electrical and Computer Engineering San Diego State Univ San DiegoCA92182 United States School of Computing and Information Science Florida Int'l University ECS 362 MiamiFL33199 United States

ISBN: (纸本)9781615676675

The capability to dynamically retrieve detailed multimedia which may come from knowledge bases as well as sensor information in response to specific user queries offers the potential to create decision support systems of unprecedented utility. Such systems can learn from user feedback;by minimizing the system training required of the knowledge engineer, we can more effectively process vast free-text databases of knowledge for minimal development cost. Furthermore, these bases may be concurrently created and maintained and search algorithms can run on parallel processors connected in heterogeneous distributed networks. This paper presents an approach to web searching using knowledge amplification by structured expert randomization platform. Creativity, training, and decision support via just-in-time knowledge are fused in a system that provides the intelligence analyst with critical information where and when it is needed and in a user-friendly format. In this paper, national security examples are selected;extension to a plethora of other domains for decision support and training is inevitable. Copyright © (2009) by the International Society for computers and Their Applications. All rights reserved.

关键词： Decision support systems

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Mobile living labs 09: Methods and tools for evaluation in the wild

Mobile living labs 09: Methods and tools for evaluation in t...

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Living in a world as colorful as you - 11th International Conference on Human-computer Interaction with Mobile Devices and Services, MobileHCI 2009

作者： Hofte, Henri Ter Jensen, Kasper Løvborg Nurmi, Petteri Froehlich, Jon Novay P.O. Box 589 7500 AN Enschede Netherlands Dept. of Electronic Systems Aalborg University Niels Jernes Vej 12 9220 Aalborg Denmark Helsinki Institute for Information Technology HIIT University of Helsinki P.O. Box 68 FI-00014 Helsinki Finland DUB Institute Computer Science and Engineering University of Washington Seattle WA 98195 United States

ISBN: (纸本)9781605582818

In a Mobile Living Lab, mobile devices are used to evaluate concepts and prototypes in real-life settings. In other words, the lab is brought to the people. This workshop provides a forum for researchers and practitioners to share experiences and issues with methods and tools for Mobile Living Labs. In particular, we seek to bring together people who have applied methods for Mobile Living Labs and people who build tools for those methods. The aim of the workshop is twofold. First, to make an up-to-date overview of current methods and tools for conducting user studies in Mobile Living Labs - highlighting their individual strengths and weaknesses. Second, to uncover challenges that are not adequately addressed by current methods and tools and to come up with ideas and requirements that could fill this gap thus serving as beacons for further research and development in this area.

关键词： Laboratories

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Mobile data protection using handheld usage context matching 09

Mobile data protection using handheld usage context matching

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2009 10th International Conference on Mobile Data Management: systems, Services and Middleware, MDM 2009

作者： Hu, Wen-Chen Zuo, Yanjun Kaabouch, Naima Yang, Hung-Jen Department of Computer Science University of North Dakota Grand Forks ND 58202-9015 United States Dept. of Information Systems and Business Education University of North Dakota Grand Fork ND 58202-8363 United States Department of Electrical Engineering University of North Dakota Grand Forks ND 58202-7165 United States Department of Industrial Technology Education National Kaohsiung Normal University Kaohsiung City 802 Taiwan

ISBN: (纸本)9780769536507

Handheld devices are easily lost because of their small sizes and high mobility. Personal data like addresses and telephone numbers stored in the devices are revealed when the devices are lost or used by unauthorized persons. This research proposes a novel approach for handheld data protection by using handheld usage context matching. The proposed system consists of five components: (i) usage data gathering, (ii) usage data preparation, (iii) usage pattern discovery, (iv) usage pattern analysis and visualization, and (v) usage pattern applications. Handheld usage context data is collected before applying this method. The usage context is then used to check device usage. When an unusual usage context such as an unlawful user trying to access the handheld data is detected, the device will automatically lock itself down until an action, like entering a password, is taken. Experimental results show this method is effective and convenient for mobile data protection. © 2009 IEEE.

关键词： Data privacy

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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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Using PSU for Early Prediction of COSMIC Size of Functional and Non-functional Requirements

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Joint Meeting of the International Workshop on software Measurement (IWSM)/MetriKon/Mensura 2008

作者： Buglione, Luigi Ormandjieva, Olga Daneva, Maya École de Technologie Supérieure (ETS) / Engineering.it Computer Science and Software Dept. Concordia University Information Systems Group University of Twente

ISBN: (纸本)9783540894025

The project effort calculation with a functional size measurement method such as COSMIC can only be properly performed after the "Requirements Analysis" phase in a Project Life Cycle. The goal of this research is to investigate an early and project-level tuned prediction of the product size with the intent to reduce the effect of the 'cone of uncertainty' phenomenon. The lack of size measurement methods which take into account the effect of the product non-functional requirements (NFR) on size also contributes to the above phenomenon. We propose to use the Project Size Unit (PSU) technique for predicting the product (FUR and NFR) size measured in COSMIC functional size units. Such early prediction will lower the cost of size counting the project and minimize the estimation error in the requirements phase. Furthermore, the PSU calculation procedure can be automated, which would further reduce the cost of size counting. The expected advantage of jointly using PSU and COSMIC is the ability to get early estimates of the whole project effort.

关键词： Project Size Prediction COSMIC Project Size Unit (PSU) Functional User Requirements (FUR) Non-Functional Requirements (NFR)

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