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    Router and Switches

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    Router and Switches II In Routers and Switches we learned several things such as: what is a Router‚ why we need Routers‚ what is the importance of a Router. We also learned what VLSM is and how to do it and use it. Throughout CCNA we learned how to configure a Router; the different types of Routing protocols and most importantly what‚ when and how to use those protocols in the field. Finally I will discuss Switches in how they are use to set up a LAN. Throughout this paper these topic will be

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    SIMD Architecture

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    LOVELY PROFESSIONAL UNIVERSITY COMPUTER APPLICATIONS/IT M.SC.COMPUTER SCIENCE TERM PAPER TOPIC: SIMD ARCHITETURE CAP 503: Computer Organization and Architecture November 15th 2012 TABLE OF CONTENT INTRODUCTION 1 Definition 1 Why do we need SIMD? 1 Why

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    Network Planning and Design

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    External Factors II. Planning System Development Methodologies III. Design Techniques 3 4 4 4 5 5 5 5 10 10 12 13 13 13 14 14 18 19 21 21 21 24 24 27 27 27 The Model Network Design Tools and Algorithms Problems: References: Some Capacity Planning and Network Design Tools: APPENDIX A: SOME SIMPLE DESIGN ALGORITHMS A.1 A.2 Topological design Congestion M/M/1 and M/G/1 Queues Little’s Law Summary A.3 Problems References: APPENDIX B SELLING BOOKS‚ ... ONLINE: A CASE STUDY Questions: Web Sites: Acknowledgement:

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    Vanet

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    This article has been accepted for inclusion in a future issue of this journal. Content is final as presented‚ with the exception of pagination. IEEE COMMUNICATIONS SURVEYS & TUTORIALS‚ ACCEPTED FOR PUBLICATION 1 Vehicular Networking: A Survey and Tutorial on Requirements‚ Architectures‚ Challenges‚ Standards and Solutions Georgios Karagiannis‚ Onur Altintas‚ Eylem Ekici‚ Geert Heijenk‚ Boangoat Jarupan‚ Kenneth Lin‚ and Timothy Weil Abstract—Vehicular networking has significant potential

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    C=∑_(i‚j)▒〖(i-j)^2 p(i‚j)〗 (3.5) Correlation - Correlation measures how pixel is correlated to its neighbor over the whole image. C=∑_(i‚j)▒(i-μ_i )(j-μ_j )p(i‚j)/(δ_i δ_j ) (3.6) Entropy - Entropy gives measures of complexity of the image and this complex texture tends

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    Management Information System Assignment Topic: Artificial Intelligent Systems Roll Nos: 3‚4‚5‚62‚63‚68‚69 iNTRODUCTION : The field was founded on the claim that a central property of humans‚ intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine."Can a machine act intelligently?" is still an open problem. Taking "A machine can act intelligently" as a working hypothesis‚ many researchers have attempted to build such a

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    Image Compression

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    decompression. It includes different techniques which help to get the job done. These techniques include Lossless and Lossy compression and they can be used to compress text‚ video‚ audio etc. Keywords—LossyCompression‚ Lossless Compression‚ Huffman Algorithm‚ DCT and JPEG. I. INTRODUCTION Compression is a process by which size of data is reduced. There are two main types of data compression lossless and lossy compression. These are further divided into different methods which are Huffman‚ run-length

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    arti

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    Stuart Russell & Peter Norvig „Artificial Intelligence: A Modern Approach” 1st edition Uzdevumu brošūra Brošūrā apkopoti uzdevumi no pirmā Rasela un Norviga grāmatas izdevuma (1995.g.). Uzdevumi ir oriģinālvalodā‚ saglabājot grāmatā lietoto uzdevumu un attēlu numerāciju. Brošūrā ir pasvītrotas un ar treknrakstu izceltas norādes uz tām grāmatas daļām‚ kuras brošūrā nav iekļautas. Nr. Uzdevums Punktu skaits Intelligent Agents 2.4 While driving‚ which is the best

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    Pareto

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    Functions 6. Pareto Optimization – Definitions 7. Evaluation of Multiobjective Evolutionary Algorithms 8. Concluding Remarks References 2(30) 1 Introduction This report surveys briefly multiobjective nonlinear Pareto-optimization. The focus is on the usage of evolutionary algorithms for multiobjective decision making. The term evolutionary algorithms refer to a class of computationally intelligent algorithms‚ which are based on an artificial model of evolution in nature. When considering multiobjective

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    Nanotechnology and Computer Science a. Khondoker Zahidul Hoossain • b. Dr. Nilay Kumar Dey * * a: ID#: 13103061 Section: M Program: BCSE b: Faculty of Chemistry International University of Business Agriculture and Technology Abstract: Nanotechnology is the engineering of functional systems at the molecular scale. Nanotechnology has been developed with cooperation from researchers in several fields of studies including physics‚ chemistry‚ biology‚ material science‚ engineering

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