References: 1. Rowley‚ H.‚ Baluja‚ S.‚ Kanade‚ T.: Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(1) (1998) 23–38 2. Viola‚ P.‚ Jones‚ M.: Robust real-time face detection. International Journal of Computer Vision 57(2) (2004) 137–154 3 Machine Intelligence
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wireless sensor networks can be promptly understood simply by thinking about what they essentially are: a large number of small sensing self-powered nodes which gather information or detect special events and communicate in a wireless fashion‚ with the end goal of handing their processed data to a base station. Sensing‚ processing and communication are three key elements whose combination in one tiny device gives rise to a vast number of applications [A1]‚ [A2]. Sensor networks provide endless
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Introduction Networks are everywhere. The brain is a sophisticated neural network connected by axons. Society‚ too‚ are networks connected by family‚ friends and professional ties. On a larger scale food webs can be represented as a network of species. Networks have even diffused through our technology such as the World Wide Web where routers and web pages are all interconnected. Even the language we speak today is a network of words connected by syntactic associations. Networks are everywhere
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2011 JWD Network Upgrade Project Manager: Joseph H. Schuessler‚ Ph.D. Telecommunication for Managers December 5‚ 2011 Project Team: Group 3 Rosalie Murphy Jonathan Kisor Marcus Wilson Juan Hernandez 1 About the Authors Rosalie Murphy is a graduate from the University of Cebu in the Philippines with a Bachelor of Science in Information Technology. I am currently enrolled at Tarleton State University and should graduate in May of 2012 with a Master’s of Science in Computer and Information
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THE UNIVERSITY OF RWANDA NETWORK DESIGN PROJECT PROPOSAL BY: NSABIMANA JEAN CLAUDE REG. NUMBER: 11111128 SUPERVISOR: DR TWIZERE CELESTIN INTRODUCTION o Network is the interconnection of devices such that they can communicate one another‚ The university network is designed to link campus so that they have one Data center( ICT Center). o This network will link six campuses in star topology and in each campus there will be another kind of topology because of the structure of the
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Faculty of Engineering Department of Electrical Engineering Undergraduate project Dual Band Mobile Jammer for GSM 900 & GSM 1800 Done by: Ahmed Sudqi Hussein Abdul-Rahman Ahmad Nasr Raja Mohammad Supervised by: Prof. Nihad Dib 1 Table of contents Abstract ………….…...............................................................................................3 1. Introduction ………….................................................................…........................4 2. Jamming Techniques
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TABLE OF CONTENT 1. Introduction 5 2. Business Goals and Technical Goals 6 2.1. Business Goals 6 2.2. Technical Goals 7 3. Organization Unit 8 4. Design Concept 9 4.1. Hierarchical Network Design 9 4.2. Enterprise Network Design 11 5. Local Area Network (LAN) and Wide Area Network (WAN) 12 6. Server Farm 14 7. Topology 16 7.1. Types of Topology 16 7.1.1. Bus Topology 16 7.1.2. Ring Topology 17 7.1.3. Mesh Topology 17 7.1.4. Star Topology 18 7.2. Physical
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Personal Area Network Lito Gonzales April 15‚ 2012 Personal Area Network In the world where an assortment of technology is emerging and is changing not only how human beings live their lives‚ it also extends to how businesses are conducted for a more efficient and effective operations. From the simplifications of computing that evolved from the bulky desktop computer to the handy tablets‚ to the ever improving sophistications of mobile phone usage such as the candy bar handsets to smartphones
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Generation Network Evaluation June 2010 Produced by: Innovations for Scaling Impact and Keystone Accountability With generous support from the International Development Research Center and the Packard Foundation For questions and/or comments on this paper please contact Catrina Lucero at clucero@scalingimpact.net Table of Contents PURPOSE INTRODUCTION AND CONTEXT THE CURRENT FIELD NETWORK METRICS NETWORK TOOLS GAPS IN CURRENT PRACTICE NETWORK THEORIES OF CHANGE NETWORKS AS COMPLICATED
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Personal Statement “Can Machines Think?” – This question proposed by Alan Turing has significantly advanced the field of computer science. Imagine his joy if he’d be able to witness the IBM’s Deep Blue beating the world champion chess player Gary Kasparov. My academic experiences during my undergraduate degree have made me crave to know more‚ learn more. Amongst all the subjects studied‚ it was Artificial Intelligence and Knowledge Discovery that truly piqued my interest for graduate studies. My
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