Virtual Private Network IS 311 Dr. Gray Tuesday 7pm November 19‚ 2002 By: Germaine Bacon Lizzi Beduya Jun Mitsuoka Betty Huang Juliet Polintan Table of Contents I. Introduction ……………………………………………….. 1 - 2 II. VPN Topology……………………………………………... 2 - 3 III. Types of VPNs……………………………………………... 3 - 5 IV. Components of VPNs………………………………………. 5 - 7 V. Productivity and Cost Benefit…………………………….... 7 - 9 VI. Quality of Service………………………………………….. 9 VII. The Future
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Qarran Alamrei 201008179 Col240 Section 3 Social networking is all about the new generation. Nowadays‚ children and adults love to spend their time on Internet websites that connect them with each other‚ and these websites was called social networks. “Any Web locale that permits communal contact is believed a communal mass media locale‚ encompassing communal networking locations such as Facebook‚ MySpace‚ and Twitter”( Schurgin.G‚ Clarke.K). These websites take a long time from humans’ lives
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An Introduction to Neural Networks Vincent Cheung Kevin Cannons Signal & Data Compression Laboratory Electrical & Computer Engineering University of Manitoba Winnipeg‚ Manitoba‚ Canada Advisor: Dr. W. Kinsner May 27‚ 2002 Neural Networks Outline ● Fundamentals ● Classes ● Design and Verification ● Results and Discussion ● Conclusion Cheung/Cannons 1 Classes Fundamentals Neural Networks What Are Artificial Neural Networks? ● An extremely simplified model of
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NETWORK Computer Network also called Network is a group of computers and other devices connected to each other to share resources electronically. Networks can be as small as two computers or many thousand computers that are connected to one another. These computers are usually connected to one another through wires‚ satellite‚ and modems. Each device connected to the network is called a “node”‚ and the computer that is connected to the network is called a workstation. There are several ways
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POST GRADUATE CENTRE MSc. COMPUTER NETWORKING Network Administration Title: Network Management/Maintenance Models Lecturer: Mr. Sharif Salem Lecturer: Mr. Shahir Title: Network Management/Maintenance Models Lecturer: Mr. Sharif Salem Lecturer: Mr. Shahir Names : Usama Musa Hamdan Student ID# : 110030807 Semester : 2 Academic Honesty Policy Statement I‚ hereby attest that contents of this attachment are my own work
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REAL TIME POWER SYSTEM SECURITY ASSESSMENT USING ARTIFICIAL NEURAL NETWORKS REAL TIME POWER SYSTEM SECURITY ASSESSMENT USING ARTIFICIAL NEURAL NETWORKS Abstract Contingency analysis of a power system is a major activity in power system planning and operation. In general an outage of one transmission line or transformer may lead to over loads in other branches and/or sudden system voltage rise or drop. The traditional approach of security analysis known as exhaustive security analysis involving
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Advantage Energy Technology Data Center Migration* Brian Smith‚ electronic network administrator at Advanced Energy Technology (AET)‚has been given the responsibility of implementing the migration of a large data center to a new office location. Careful planning is needed beca aim AET operates in the highly competitive petroleum industry. AET is one of five field computer software companies that provide an accounting and business management box for oil jobbers and gasoline distributors. A few years
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Social Networks Adrian Moses Felan INF 103 Computer Literacy Dr. Mark Zecca 12/22/14 Social Networks Social Networks used to not have the same meaning as they do today. They have always been a social structure made up of individuals‚ made up of their interactions and personal relationships. From the sewing circles of yesteryear‚ to the fixation we have with our digital social life‚ social networks have taken on a new form in the 21st century‚ and have begun to impact our lives in many ways. Our
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Network Design Companies have issues when designing a network that provides access to data and information in a safe and secure environment. A small retail chain store Kudler Fine Foods sells various products and is upgrading the network to monitor and secure information. Kudler Fine Foods has three locations and needs to communicate data quickly so that customer’s accounts are updated and stores can manage inventory. The central network server is located at the home office in La Jolla‚ California
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Security 5 Beta Testing 7 Equipment 8 Budget 12 Conclusion 12 Bibliography 14 Appendix A: TECHNICAL TERMS 15 Executive Summary The Athletes Shack (TAS) is a chain of sporting goods stores that is looking into adding a wireless network (WLAN) to their current network. TAS has 10 retail distribution stores in the area and would like all the stores to be able to see live inventory suing mobile devices. The management team at Athletes Shack has realized that their success depends on exceptional customer
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