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    A passive optical network (PON) is a telecommunications network that uses point-to-multipoint fiber to the premises in which unpowered optical splitters are used to enable a single optical fiber to serve multiple premises. A PON consists of an optical line terminal (OLT) at the service provider’s central office and a number of optical network units (ONUs) near end users. A PON reduces the amount of fiber and central office equipment required compared with point-to-point architectures. A passive optical

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    How could these social networking sites be a threat to a company’s security? In today’s world it seems the human race could not live without information technology in the workplace. More importantly‚ social networks like Facebook and Twitter are becoming very popular tools for business development in today’s world. There are dozens of social network sites and more popping up every day. It is astounding the number of hours that people waste on such sites. Updating‚ checking in and sending out

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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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    MARKETING IN A CONNECTED WORLD IMPACT OF SOCIAL NETWORKS ON PROMOTION AND ADVERTISING STRATEGY Existing literature on impact of social networks‚ their underlying structure‚ characteristics of consumer in context of these network and process of contagion is reviewed in this paper and analysis on the impact of various concepts discussed above on advertising and promotion strategy of product and services is performed. BHARAT SINGHAL 27-Feb-14 ACKNOWLEDGEMENT The present work is an effort to throw

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    Nortel Networks Case

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    Nortel Networks Case CheckPoint Nortel enters into guarantees that are defined and meet guidelines as laid out in FIN 45. Nortel typically indemnifies the purchaser of business that is conducted by Nortel in the event that a third party asserts a claim against the purchaser which would become a liability that is retained by Nortel as defined in their agreement. Nortel is has been unable to estimate the potential for maximum liability‚ since these type of indemnifications of guarantees do not have

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    2012‚ 2009‚ 2007 by University of Phoenix. All rights reserved. Course Description This foundational course covers local area network topics including rationale for networking‚ the open systems interconnection (OSI) model‚ common network topologies and architecture‚ client/server concepts‚ basic hardware devices and usage‚ and basic networking security concepts. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following

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    important in an industry? Describe the various types of inspection methods. (c) 2. How the quality of a service organization can be improved? Discuss the Deming’s 14 points for managing never-ending improvement. Discuss the various human factors that may affect the quality of a manufacturing organization. Attempt any two parts of the following: (a) ME - 016 (10x2=20) What do you mean by cost of quality? Discuss various types of cost related to quality. How the total quality

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    Gsm Network Jammer

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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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    Neural Networks for Financial Application J.T Gunasekara Index Number:09002006 Registration Number:2009cs200 Email: jgtharindu@gmail.com Phone:0714771759 Supervisor: H.D Premarathne University of Colombo School of Computing September 6‚ 2012 Declaration I hear by declare that this literature survey report has been prepared by J.T Gunasekara based on mainly the reference material listed under the bibliography of this report. No major components (sentences/paragraphs etc. ) of other publications

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    SEGMENTATION WITH NEURAL NETWORK B.Prasanna Rahul Radhakrishnan Valliammai Engineering College Valliammai Engineering College prakrish_2001@yahoo.com krish_rahul_1812@yahoo.com Abstract: Our paper work is on Segmentation by Neural networks. Neural networks computation offers a wide range of different algorithms for both unsupervised clustering (UC) and supervised classification (SC). In this paper we approached an algorithmic method that aims to

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