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International Conference on computer and Communication technology (ICCCT)

作者： Nagaraj V. Dharwadkar b. b. Amberker Supriya Prateeksha b. Panchannavar Computer Science & Engineering National Institute of Technology Warangal Andhra Pradesh India Information Science & Engineering B. L. D. A's College of Engg. & Tech Bijapur Karnatak India

The modern telemedicine often lacks in the infrastructure to deploy image security standards. The fragile watermarking scheme provides good security solution to medical images in telemedicine. In this paper, we present a reversible (distortion free), fragile, spatial domain watermarking scheme for medical images. The medical image authenticity and security can be achieved by two modes of watermarking operations. In the first mode, the watermark (fingerprint) is embedded into host image and later, for copyright justification the watermark (fingerprint) is extracted from host image. In the second mode of the operation the watermark (fingerprint) is extracted from unaltered components of the image ie. stored as the key. Later, this key information is used for recovering the watermark. The proposed scheme uses the second mode of operation which extracts the watermark from the unaltered pixel components of image. The extracted watermark is used for copy-right justification. As medical images have zero tolerance for noise our scheme produces noise free watermarked medical images. The scheme is robust to different types of attacks. The fragility and robustness of the scheme is analyzed considering different types of image processing attacks.

关键词： Watermarking Pixel Medical diagnostic imaging Telemedicine Streaming media

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Discontinuous stabilizer of the first order chained system using polar-like coordinates transformation 10

Discontinuous stabilizer of the first order chained system u...

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2009 10th European Control Conference, ECC 2009

作者： Pazderski, Dariusz Kozlowski, Krzysztof Tar, Jozsef K. Faculty of Computer Science and Management Control and Systems Engineering Poznan University of Technology ul. Piotrowo 3a Poznan60-965 Poland John von Neumann Faculty of Informatics Institute of Intelligent Engineering Systems Budapest Tech Bécsi út 96/BH BudapestH-1034 Hungary

ISBN: (纸本)9783952417393

This paper considers problem of stabilization of the first order nonholonomic chained system using polar-like coordinates. A control method considered here can be regarded as an extension of control solution based on polar coordinate transformation in order to apply it to other system than unicycle. Presented control strategy gives possibility to obtain fast convergence of regulation errors without oscillatory behavior. A robustness of the controller in the neighborhood of the desired point is ensured via additional non-smooth techniques. In order to verify usefulness of developed control strategy simulation results are given. © 2009 EUCA.

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Channel surfing- A scheme to tolerate jamming in multiple nodes in wireless sensor networks

Channel surfing- A scheme to tolerate jamming in multiple no...

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International Conference on Wireless Communication, Vehicular technology, Information Theory and Aerospace and Electronic Systems technology (Wireless VITAE)

作者： Amrita Ghosal Subir Halder Sipra Dasbit Department of Computer Science and Engineering Hooghly Engineering and Technology College West Bengal India Department of Computer Science and Engineering Dr. B. C. Roy Engineering College Durgapur West Bengal India Department of Comp. Sc. & Tech. Bengal Engineering and Science University Shibpur West Bengal India

Wireless sensor networks have emerged as an important application area resulting from the advancement of efficient short-range radio communication and miniaturization of computing devices. Nodes in such a network generally remain in an unattended environment and thereby they are prone to attack by adversaries. Therefore, the need of tolerating such attacks is of utmost importance. Firstly, multilevel tier architecture based on clustering of nodes in each tier is introduced. Then the work develops a scheme for WSN to tolerate such attack and maintains connectivity with negligible delay. This scheme is also capable of tolerating attacks in multiple nodes, provided the nodes are located in some specified positions. The claim has been justified with proof.

关键词： Jamming Wireless sensor networks Acoustic sensors Frequency Educational institutions Radio communication Temperature sensors base stations computer networks computer architecture

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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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A method to represent restricted classes of planar graphs in the enhanced spatial relational model PLA, based on Halin graphs

A method to represent restricted classes of planar graphs in...

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INES 2006: 10th International Conference on Intelligent engineering Systems 2006

作者： Novák, Ágnes b. Tuza, Zsolt Faculty of Information Technology Péter Pázmány Catholic University Práter u. 50/A H-1088 Budapest Hungary Bánki Donát Faculty of Mechanical Engineering Budapest Tech. Népszínház u. 8 H-1081 Budapest Hungary Computer and Automation Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary Department of Computer Science Pannon University H-8200 Veszprém Hungary

ISBN: (纸本)0780397088

In this paper we enhance the PLA relational spatial model for storing a special type of planar graphs. The PLA-model is very handy to store 2-connected planar graphs, but it is not capable at all to store some other important classes of planar graphs: trees and, more generally, planar graphs with cut edges. In this paper we propose a method for their representation. The main idea is based on Halin graphs that are planar graphs of minimum degree 3 from which the removal of the boundary edges of the infinite region yields a tree. Our results are to identify Halin graphs from the model, and to represent trees as virtual Halin graphs in order to store them without major alteration of the original PLA-Model. © 2006 IEEE.

关键词： Intelligent systems

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A Method to Represent Restricted Classes of Planar Graphs in the Enhanced Spatial Relational Model PLA, based on Hahn Graphs

A Method to Represent Restricted Classes of Planar Graphs in...

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IEEE International Conference on Intelligent engineering Systems (INES)

作者： A.b. Novak Z. Tuza Faculty of Information Technology Péter Pázmány Catholic University Budapest Hungary Bánki Donát Faculty of Mechanical Engineering Budapest Tech Budapest Hungary Hungarian Academy of Sciences Computer and Automation Institute Budapest Hungary Department of Computer Science Pannon University Veszprém Hungary

关键词： Programmable logic arrays Tree graphs Information technology Automation Mechanical engineering computer science bipartite graph

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Edge preserving image compression technique using adaptive feed forward neural network

Edge preserving image compression technique using adaptive f...

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IASTED International Conference on Internet and Multimedia Systems and Applications, EuroIMSA 2005

作者： Roy, Senjuti basu Kayal, Kausik Sil, Jaya Department of Computer Science and Engineering University of Calcutta 92 APC Road Kolkata-700009 India Department of Computer Sc. and Tech. Bengal Engineering and Science University Shibpur B. Garden Howrah-711103 India

ISBN: (纸本)0889864861

The aim of the paper is to develop an edge preserving image compression technique using one hidden layer feed forward neural network of which the neurons are determined adaptively. Edge detection and multi-level thresholding operations are applied to reduce the image size significantly. The processed image block is fed as single input pattern while single output pattern has been constructed from the original image unlike other neural network based techniques where multiple image blocks are fed to train the network. The paper proposes initialization of weights between the input and lone hidden layer by transforming pixel coordinates of the input pattern block into its equivalent one-dimensional representation. Initialization process exhibits better rate of convergence of the back propagation training algorithm compare to the randomization of initial weights. The proposed scheme has been demonstrated through several experiments including Lena that show very promising results in compression as well as in reconstructed images over conventional neural network based techniques available in the literature.

关键词： Image compression

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Solving interoperability problems on a federation of software process systems

Solving interoperability problems on a federation of softwar...

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ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems

作者： Ahmed-Nacer, Mohamed Mostefai, Med-Amine Computer Science Department Faculty of Electrical Engineering Univ. Sci./Technol. Houari B. BP 32 El-Alia 16123 Bab-Ezzouar Algeria Software Laboratory Ctr. of Res. in Sci. and Tech. Info. 03 frère Aissou Ben Aknoun 16030 Algiers Algeria

ISBN: (纸本)9728865007

Software process components that share information and that cooperate for common tasks lead to multiple problems of interoperability. Some based-interoperability approaches have been proposed. However, more problems remain to be solved to enable the heterogeneous process components interoperability at execution level. This paper presents a process-based approach (architecture) for the federation of software process systems. based on this approach, we focus on its implementation problems for the process execution interoperability. We show how we solve these problems and we discuss their implementation through the main development techniques of distributed applications.

关键词： Software engineering

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On the universality of P systems with minimal symport/antiport rules

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in bioinformatics) 2004年 2950卷 254-265页

作者： Kari, Lila Martín-Vide, Carlos PǍun, Andrei Department of Computer Science University of Western Ontario London Ont. N6A 5B7 Canada Research Group on Mathematical Linguistics Rovira i Virgili University Pl. Imperial Tàrraco 1 43005 Tarragona Spain Department of Computer Science College of Engineering and Science Louisiana Tech. University Ruston P.O. Box 10348 LA 71272 United States

P systems with symport/antiport rules of a minimal size (only one object passes in any direction in a communication step) were recently proven to be computationally universal. The proof from [2] uses systems with nine membranes. In this paper we improve this results, by showing that six membranes suffice. The optimality of this result remains open (we believe that the number of membranes can be reduced by one). © Springer-Verlag 2004.

关键词： Artificial intelligence

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Fast convergence for backpropagation network with magnified gradient function

Fast convergence for backpropagation network with magnified ...

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International Joint Conference on Neural Networks (IJCNN)

作者： S.C. Ng C.C. Cheung S.H. Leung A. Luk School of Science & Tech Open University HK Hong Kong China Department of Computer Engineering & Information Tech City University of Hong Kong Hong Kong China Department of Electronic Eng City University of Hong Kong Hong Kong China St. B and P Neural Investments Pty. Limited Australia

This paper presents a modified back-propagation algorithm using magnified gradient function (MGFPROP), which can effectively speed up the convergence rate and improve the global convergence capability of back-propagation. The purpose of MGFPROP is to increase the convergence rate by magnifying the gradient function of the activation function. From the convergence analysis, it is shown that the new algorithm retains the gradient descent property but gives faster convergence than that of the back-propagation algorithm. Simulation results show that, in terms of the convergence rate and the percentage of global convergence, the new algorithm always outperforms the standard back-propagation algorithm and other competing techniques.

关键词： Convergence Investments Australia Algorithm design and analysis Neural networks Neurons computer hacking Acceleration Error correction Equations

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