...NETW-202 Introduction to Networking with Lab Final Exam Answers Follow Link Below To Get Tutorial https://homeworklance.com/downloads/netw-202-introduction-to-networking-with-lab-final-exam-answers/ NETW-202 Introduction to Networking with Lab Final Exam Answers 1. (TCO 5) _____ is a network-scanning technique used to identify which host IP addresses are operational. (Points : 5) 2. (TCO 5) _____ create(s) noise that interferes with information being transmitted across unshielded copper cabling. (Points : 5) 3. (TCO 5) _____ is used in Ethernet where some pairs of twisted-pair wires are crossed, when comparing the RJ-45 connectors on either end of the cable. These 10BASE-T and 100BASE-T cables connect the pair at pins 1 and 2 on each end to pins 3 and 6 on the other end. (Points : 5) 4. (TCO 5) _____ is a general term referring to any energy signal on a transmission medium that is not part of the signal used to transmit data over that medium. (Points : 5) 5. (TCO 5) _____ are a collection of data that establishes a reference for network performance and behavior over a period of time. (Points : 5) 6. (TCO 5) The ______ provides a physical connection to the network (from the network end (Telco, ISP) of the user-to-network equipment), forwards traffic, and provides a clocking signal used to synchronize data transmission. (Points : 5) 7. (TCO 5) The _______ command will bring up a router interface. (Points : 5) 8. (TCO 5) A(n) _____ is an interference...
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...HELPIDO.COM ----------------------------------------------------------- FOLLOW THE LINK TO GET THE TUTORIAL http://helpido.com/netw-420-ilab-5-of-7/ ----------------------------------------------------------- NETW 420 ILAB 5 OF 7 ________________________________________ 1. Estimate the average number of Database bytes per second traffic that the Hacker received during the Open_Network run. 2. Estimate the average number of Database bytes per second traffic that the Hacker received during the VPN_with_Firewall run. 3. Now compare the two values. Did the VPN_with_Firewall affect the ability of the Hacker to receive Database bytes per second traffic? ß 4. Estimate the average number of HTTP bytes per second traffic that the Online Shopper received during the Open_Network run. 5. Estimate the average number of HTTP bytes per second traffic that the Online Shopper received during the VPN_with_Firewall run. 6. Now compare the two values. Did the VPN_with_Firewall affect the ability of the Online Shopper to receive HTTP bytes per second traffic? 7. Estimate the average time that it takes to download a Web page for the Online Shopper during the Open_Network run. 8. Estimate the average time that it takes to download a Web page for the Online Shopper during the VPN_with_Firewall run. ß 9. Now compare the two values. Did the VPN_with_Firewall increase the time that it took for the Online Shopper to download web pages from the company server...
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...HELPIDO.COM ----------------------------------------------------------- FOLLOW THE LINK TO GET THE TUTORIAL http://helpido.com/netw-420-ilab-5-of-7/ ----------------------------------------------------------- NETW 420 ILAB 5 OF 7 ________________________________________ 1. Estimate the average number of Database bytes per second traffic that the Hacker received during the Open_Network run. 2. Estimate the average number of Database bytes per second traffic that the Hacker received during the VPN_with_Firewall run. 3. Now compare the two values. Did the VPN_with_Firewall affect the ability of the Hacker to receive Database bytes per second traffic? ß 4. Estimate the average number of HTTP bytes per second traffic that the Online Shopper received during the Open_Network run. 5. Estimate the average number of HTTP bytes per second traffic that the Online Shopper received during the VPN_with_Firewall run. 6. Now compare the two values. Did the VPN_with_Firewall affect the ability of the Online Shopper to receive HTTP bytes per second traffic? 7. Estimate the average time that it takes to download a Web page for the Online Shopper during the Open_Network run. 8. Estimate the average time that it takes to download a Web page for the Online Shopper during the VPN_with_Firewall run. ß 9. Now compare the two values. Did the VPN_with_Firewall increase the time that it took for the Online Shopper to download web pages from the company server...
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...NETW320 -- Converged Networks with Lab Lab # 2 Title: Silent Suppression – Cont. Procedure Start OPNET Modeler Open the scenario 1. Select File/Open. 2. Select Project. 3. Open your f: drive. (Note: If you don’t see drive F: listed, you click on “My Computer or “Computer” first.) 4. Open your op_models directory. 5. Open your NETW 320 directory. 6. Open the Lab1_Silent.project folder. 7. Click on Lab1_Silent.prj. 8. Click OK. The project should open. 9. Choose Scenarios > Switch to Scenario > Silent_Suppression. Results analysis 1. We are now ready to look at the results. From the tool bar, select DES > Results > View Results. 2. The Results Browser will appear. You may have to expand the items in the top left panel and click on them to get Global Statistics to appear in the bottom left panel. 3. Expand Global Statistics and select the following (4) statistics: Expand Select DB Query Response Time (sec) HTTP Page Response Time (sec) E-mail Download Response Time (sec) Voice Packet End-to-End Delay (sec) 4. You can adjust the size of the panels as you wish by hovering the cursor over the panel border until it changes to the adjust line cursor, and then hold the left mouse button to set the panel size. 5. Change the view from As Is to Time Average using the dropdown menu on the lower right-hand side. Remember, your results may not be exactly the same but they should be very similar. 6. Click Show. A graph similar...
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...CCNA Routing and Switching: Routing and Switching Essentials Instructor Lab Manual This document is exclusive property of Cisco Systems, Inc. Permission is granted to print and copy this document for non-commercial distribution and exclusive use by instructors in the CCNA Security course as part of an official Cisco Networking Academy Program. Lab L - Initializing and Re g eloading a Rout and S g ter Switch (Instructo or Version) V Instructor No Red font color or Gray highlights ind ote: y dicate text tha appears in the instructor copy only. at Topology T Objectives O Part 1: Se Up Device in the Netw et es work as Show in the To wn opology Part 2: Initialize the Router and Reload R Part 3: Initialize the Switch and Reload S Backgroun / Scenar B nd rio Before sta arting a CCNA hands-on la that makes use of either a Cisco rout or switch, ensure that t A ab s ter the devices in use have be erased an have no st n een nd tartup configu urations prese Otherwise the results of your ent. e, lab may b unpredictab This lab p be ble. provides a de etail procedure for initializin and reload e ng ding a Cisco ro outer and a Cisco sw witch. Note: The routers used with CCNA hands-on lab are Cisco 1 e d bs 1941 Integrate Services R ed Routers (ISRs with s) Cisco IOS Release 15. S .2(4)M3 (univ versalk9 image). The switches used are Cisco Cataly 2960s with Cisco yst h IOS Relea 15.0(2) (lanbasek9 ima ase age). Other ro outers, switch hes, and Cisc IOS version can be use co...
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...138 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 8, NO. 1, FEBRUARY 2012 A Fusion Approach for Efficient Human Skin Detection Wei Ren Tan, Chee Seng Chan, Member, IEEE, Pratheepan Yogarajah, and Joan Condell Abstract—A reliable human skin detection method that is adaptable to different human skin colors and illumination conditions is essential for better human skin segmentation. Even though different human skin-color detection solutions have been successfully applied, they are prone to false skin detection and are not able to cope with the variety of human skin colors across different ethnic. Moreover, existing methods require high computational cost. In this paper, we propose a novel human skin detection approach that combines a smoothed 2-D histogram and Gaussian model, for automatic human skin detection in color image(s). In our approach, an eye detector is used to refine the skin model for a specific person. The proposed approach reduces computational costs as no training is required, and it improves the accuracy of skin detection despite wide variation in ethnicity and illumination. To the best of our knowledge, this is the first method to employ fusion strategy for this purpose. Qualitative and quantitative results on three standard public datasets and a comparison with state-of-the-art methods have shown the effectiveness and robustness of the proposed approach. Index Terms—Color space, dynamic threshold, fusion strategy, skin detection. ...
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...1 Twitter mood predicts the stock market. Johan Bollen1, ,Huina Mao1, ,Xiao-Jun Zeng2 . : authors made equal contributions. arXiv:1010.3003v1 [cs.CE] 14 Oct 2010 Abstract—Behavioral economics tells us that emotions can profoundly affect individual behavior and decision-making. Does this also apply to societies at large, i.e. can societies experience mood states that affect their collective decision making? By extension is the public mood correlated or even predictive of economic indicators? Here we investigate whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time. We analyze the text content of daily Twitter feeds by two mood tracking tools, namely OpinionFinder that measures positive vs. negative mood and Google-Profile of Mood States (GPOMS) that measures mood in terms of 6 dimensions (Calm, Alert, Sure, Vital, Kind, and Happy). We cross-validate the resulting mood time series by comparing their ability to detect the public’s response to the presidential election and Thanksgiving day in 2008. A Granger causality analysis and a Self-Organizing Fuzzy Neural Network are then used to investigate the hypothesis that public mood states, as measured by the OpinionFinder and GPOMS mood time series, are predictive of changes in DJIA closing values. Our results indicate that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific...
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...511-060 Nike Football: World Cup 2010 South Africa Nike Football revenue had grown from $40 million in 1994 to more than $1 billion in 2008. In just under 15 years, it had reached a sales level that took some of its competitors over 50 years to achieve. Although not the end goal, the 2010 World Cup was another unique moment in time for Nike to create separation between the company and its competitors. Edwards knew he had to seize this opportunity and pull his team together to deliver a campaign focused on delivering innovative products and compelling consumer experiences. Creating deep consumer connections during the World Cup would be vital for fueling continued growth for Nike football in the years ahead. Football and the FIFA World Cup Some people believe football is a matter of life and death . . . I assure you, it is much more serious than that. — Bill Shankly, Scottish footballer and legendary Liverpool Manager1 Football was a game played between two teams of 11 players each, 10 field players and a goalkeeper per team. The game lasted 90 minutes, consisting of two 45-minute halves of running time. It was played with a round ball, on a rectangular grass field (often referred to as the “pitch”) with a goal on either end. Excluding the goalkeeper, the ball was controlled only with the feet, legs, torso and head (the use of hands or arms was prohibited) and the team scoring the most goals by the end of the game was the winner. Football was the most popular...
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...5. Industrial procurement. 6. Materials management. I. vfeindl, Peter II. Title. HF5415.13.C533 2007 658.7-dc22 2006004948 \VP/Executive Editor: Mark Pfaltzgraff ii:ditorial Director: Jeff Shelstad ;enior Project Manager: Alana Bradley E:ditorial Assistant: Barbara Witmer Vledia Product Development Manager: Nancy Welcher \VP/Executive Marketing Manager: Debbie Clare Vlarketing Assistant: Joanna Sabella ;enior Managing Editor (Production): Cynthia Regan flroduction Editor: Melissa Feimer flermissions Supervisor: Charles Morris Vlanufacturing Buyer: Michelle Klein Vlanager, Print Production: Christy Mahon Composition/Full-Service Project Management: Karen Ettinger, TechBooks, Inc. flrinter/Binder: Hamilton Printing Company Inc. fypeface: 10/12 Times Ten Roman :::redits and acknowledgments borrowed from other sources and reproduced, with permission, in this textJook appear on appropriate page within text. \.1icrosoft® and Windows® are registered trademarks of the Microsoft Corporation in the U.S.A. and Jther countries. Screen shots and icons reprinted with permission from the Microsoft Corporation. This Jook is not sponsored or endorsed by or affiliated...
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...procurement. 6. Materials management. I. vfeindl, Peter II. Title. HF5415.13.C533 2007 658.7-dc22 2006004948 \VP/Executive Editor: Mark Pfaltzgraff ii:ditorial Director: Jeff Shelstad ;enior Project Manager: Alana Bradley E:ditorial Assistant: Barbara Witmer Vledia Product Development Manager: Nancy Welcher \VP/Executive Marketing Manager: Debbie Clare Vlarketing Assistant: Joanna Sabella ;enior Managing Editor (Production): Cynthia Regan flroduction Editor: Melissa Feimer flermissions Supervisor: Charles Morris Vlanufacturing Buyer: Michelle Klein Vlanager, Print Production: Christy Mahon Composition/Full-Service Project Management: Karen Ettinger, TechBooks, Inc. flrinter/Binder: Hamilton Printing Company Inc. fypeface: 10/12 Times Ten Roman :::redits and acknowledgments borrowed from other sources and reproduced, with permission, in this textJook appear on appropriate page within text. \.1icrosoft® and Windows® are registered trademarks of the Microsoft Corporation in the U.S.A. and Jther countries. Screen shots and icons reprinted with permission from the Microsoft Corporation. This Jook is not...
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...MODELS FOR ESTIMATION OF ISOMETRIC WRIST JOINT TORQUES USING SURFACE ELECTROMYOGRAPHY by Amirreza Ziai B.Eng., Sharif University of Technology, Tehran, 2008 THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE In the School of Engineering Science Faculty of Applied Science © Amirreza Ziai 2011 SIMON FRASER UNIVERSITY Summer 2011 All rights reserved. However, in accordance with the Copyright Act of Canada, this work may be reproduced, without authorization, under the conditions for Fair Dealing. Therefore, limited reproduction of this work for the purposes of private study, research, criticism, review and news reporting is likely to be in accordance with the law, particularly if cited appropriately. APPROVAL Name: Degree: Title of Thesis: Amirreza Ziai M.A.Sc Models for estimation of isometric wrist joint torques using surface electromyography Examining Committee: Chair: Parvaneh Saeedi, P.Eng Assistant Professor – School of Engineering Science ______________________________________ Dr. Carlo Menon, P.Eng Senior Supervisor Assistant Professor – School of Engineering Science ______________________________________ Dr. Shahram Payandeh, P.Eng Supervisor Professor – School of Engineering Science ______________________________________ Dr. Bozena Kaminska, P.Eng Examiner Professor – School of Engineering Science Date Defended/Approved: _________September 2, 2011 ______________ ii ABSTRACT With an aging...
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...How do new technologies impact on workforce organisation? Rapid review of international evidence Report developed by The Evidence Centre for Skills for Health Contents Key Themes ............................................................................................................................................ 3 Scope .................................................................................................................................................................... 3 How are teams being organised?.......................................................................................................... 7 Substituting grades and roles ............................................................................................................................... 7 Reducing staff or team size .................................................................................................................................. 8 Empowering patients............................................................................................................................................. 9 Changing the place of care ................................................................................................................................. 10 Working across organisations ............................................................................................................................. 10 Working across regional areas .........................
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...Collins W ith CD English for Exams Grammar for IELTS Fiona Aish & Jo Tomlinson \ ■L& 11 * . ; P O W E R E D BY C O B U I L D ■ t; j ju B P H Contents Unit 1 O 2 Topic Grammar focus Holidays and travel Free time Exam Page number Grammar practice Sub-skill Simple tenses Present sim ple, past sim ple and present perfect Speaking Part 1 W riting Task 2 6 Continuous tenses Past continuous, present continuous, present perfect W riting Task 1 Reading 10 continuous 3 Fame Past N arrative tenses: past perfect and used to/would Reading Listening Section 2 14 Education Future 1 Witt and going to Listening Section 1 Speaking Part 3 18 The Internet Future 2 Present continuous fo r future and future perfect Listening Section 2 Reading 22 The family Word order and punctuation Subject + verb + object and punctuation W riting Task 2 Speaking Part 2 26 7 The environment Subject/verb agreem ent S ingular + p lu ra l nouns/verbs and determ iners Reading W riting Task 1 30 8 Food Countable/ uncountable nouns Countable and uncountable nouns Speaking Part 2 Listening Section 1 34 9 Employment and finance A rticles Using a, the or no article W riting Task 1 Reading 38 10 Youth Linking words and signposting Giving...
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...THE INDIAN INSTITUTE OF PLANNING AND MANAGEMENT, AHMEDABAD THESIS TOPIC “Critically analyze the customer preference and satisfaction measurement in Indian Telecom Industry” SUBMITTED BY Naman Shah PGP/SS/06-08 ALUMNI REFERENCE ID: SS/06-08/AHD/MKTG/2 SUMISSION DATE: 27th August, 2008 GUIDED BY Prof. Pabitra Ranjan Chakravorty Senior Research Associate (Marketing) IIPM, Ahmedabad. I LETTER OF CONSENT IIPM Ahmedabad 19, Inquilab Society, Gulbai Tekra, Ahmedabad-380015 To, The Dean, IIPM-Ahmedabad Date: November 6, 2007 Respected Sir, Subject: Letter of Consent I, Prof. Pabitra Ranjan Chakravorty, a faculty of Marketing Management of IIPM-Ahmedabad, expressing my interest in guiding for a thesis on “To critically analyze the customer preference and satisfaction measurement in Indian Telecom Industry” to Mr. Naman Shah, a student of PGP/SS/06-08. This is to inform that I shall support him as a guide for his thesis on the above mentioned topic and extend my knowledge and help in all ways possible. Thank You. Yours faithfully, Prof. Pabitra Ranjan Chakravorty. II LETTER OF APPROVAL III PREFACE The customers are very important and play a crucial role in any process of marketing. Today, customers are the kings of the market because the customer loyalty and customer preference are built by the products and the services offered to the customers and they seek for the more benefits and money’s worth for the amount they spend. That is where the...
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...PRENTICE HALL MA NAGEMENT INFORMATION SYSTEMS TITLES MIS: Brown/DeHayes/Hoffer /Martin/Perkins, Managing Information Technology 6/e © 2009 JessuplValacich, Information Systems Today 31e © 2008 Kr oenke, Using MIS 21e © 2009 Kr oenke, Experiencing MIS © 2008 Laudon/Laudon, Management Information Systems 10le © 2007 Laudon/Laudon, Essentials of Management Information Systems 81e © 2009 Luftman et aI., Managing the IT Resource © 2004 Malaga, Information Systems Technology © 2005 McKeen/Smith, IT Strategy in Action © 2009 McLeod/Schell, Management Information Systems 10le © 2007 McNurlin/Spr ague, Information Systems Management In Practice 7Ie © 2006 Miller, MIS Cases: Decision Making with Application Software 41e © 2009 Senn, Information Technology 31e © 2004 Database Management: BordoloilBock, Oracle SOL © 2004 Bordoloi/Bock, SOL for SOL Server © 2004 Fr ost/DaylVanSlyke, Database Design and Development: A Visual Approach © 2006 Hoffer/Prescott/Topi, Modern Database Management 91e © 2009 Kroenke/Auer, Database Concepts 31e © 2007 Kroenke, Database Processing 10Ie © 2006 Perry/Post, Introduction to Oracle10g, © 2007 Per ry/Post, Introduction to SOL Server 2005 © 2007 Systems Analysis and Design: Hoffer /GeorgelValacich, Modern Systems Analysis qnd Design 5'/e © 2008 Kendall/Kendall, Systems Analysis and Design 7Ie © 2008 Valacich/George/Hoffer, Essentials of Systems Analysis and Design 31e © 2006 Object-Oriented Systems Analysis and Design: ...
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