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
Premium Virtual private network
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
Premium Neural network Artificial neural network Output
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
Premium Computer network Network topology
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
Premium
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
Premium Artificial neural network Neural network
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
Premium Project management
Managing TCP/IP Networks: Techniques‚ Tools and Security Considerations. Gilbert Held Copyright & 2000 John Wiley & Sons Ltd Print ISBN 0-471-80003-1 Online ISBN 0-470-84156-7 MANAGING TCP/IP NETWORKS Managing TCP/IP Networks: Techniques‚ Tools and Security Considerations. Gilbert Held Copyright & 2000 John Wiley & Sons Ltd Print ISBN 0-471-80003-1 Online ISBN 0-470-84156-7 MANAGING TCP/IP NETWORKS: TECHNIQUES‚ TOOLS‚ AND SECURITY CONSIDERATIONS Gilbert Held 4 Degree Consulting Macon
Free OSI model Internet Protocol Suite
around and wait for the token‚ hence the flat-out of its performance. 2) What are the standards used for the various layers in an Ethernet-based network that is managed by the Internet management protocol? Assume that the Ethernet runs on 10 Mbps on an unshielded twisted-pair cable? A) The standards used for the various layers in an Ethernet-based network that is managed by the Internet management protocol are : a. Organizational Model b. Information Model c. Communication Model d. Functional
Premium Ethernet Internet Protocol
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
Premium Wireless network Wireless networking Wireless LAN
and generating awareness formed part of activities of SASE. A vast network of high altitude observatories was also established. Planned reconnaissance of avalanche prone axes in J&K‚ HP was conducted and Avalanche Atlases were prepared. Cold Laboratory was established in 1990 and research on snow physics and mechanics was initiated. In nineties‚ the installation of Automatic Weather Stations (AWS) was initiated to densify the network of weather observation station in Himalaya. SASE steadily stood
Premium Wireless sensor network Sensor node Routing