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|a Online engineering /
|c Navarun Gupta, Saikat Ray and Tarek Sobh, editors.
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| 264 |
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|a New York :
|b Nova Science Publishers, Inc.,
|c ©2009.
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|a 1 online resource
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|a text
|b txt
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|a computer
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|2 rdamedia
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|a online resource
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|a Includes bibliographical references and index.
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|a Print version record and CIP data provided by publisher.
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|a ONLINE ENGINEERING; CONTENTS; EDITORIAL; PREFACE; ONLINE LABORATORIES; ABSTRACT; 1. LABS; 1.1. Learning in Lab Environments; 1.2. Learning in Online Lab Environments; 1.3. Reasons for Using Online Labs in Educational Institutions and the Industry; 2. EXAMPLES OF GOOD PRACTICES; 2.1. The MIT iLabs; 2.2. The VELO Environment as a Realization of a Virtual Lab; 2.3. WebLab; 2.4. The REL Environment as a realization of a Remote Lab; 2.5. Remote Lab for e-learning in Microprocessors; 2.6. WebLab Deusto; 2.7. VISIR Project.
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|a 2.8. Grid-Based Virtual Laboratory Experiments for a Graduate Course on Sensor Networks3. SYSTEMATIZATION AND ARCHITECTURE OF ONLINE LABS; 3.1. Online Labs; 3.2. Distributed Laboratories; 3.3. Hybrid Laboratories; 3.4. Lab Grids; 3.5. Virtual Laboratories; 3.5.1. Web-Based Simulations in Virtual Labs; 3.5.2. Non Web Based Simulations in Virtual Labs1; 3.6. Remote Laboratories; 3.6.1. Remote Labs with Real Instruments; 3.6.2. Remote Labs with Data Acquisition Cards; Generation and Acquisition of Analog Signals; 3.6.3. Remote Laboratories based on Embedded Web Servers.
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|a 3.7. Technologies for Delivering Online Experiments3.7.1. ActiveX Controls; 3.7.2. LabVIEW Web Server and Runtime Engine; 3.7.3. Applet View; 3.7.4. AJAX; 4. PRESENT AND FUTURE TRENDS; 4.1. Mobile Labs; 4.2. Remote Sensing; 4.3. MashUps; 5. USEFUL TOOLS; 5.1. Interactive XML Templates; 5.2. Lab Reverse Proxy Server; 5.3. Switch Board; 6. PORTAL AND RESERVATION SYSTEMS FOR ONLINE LABS; 6.1. Overview of Existing Solutions; 6.2. Open Source Portal for Online Laboratories; 6.2.1. Content Management System; 6.2.2. The Structure of the Network; 6.2.3. Typical Workflow -- Setup Scenario.
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|a 7. DIDACTICAL APPROACHES FOR EDUCATIONAL ONLINE LABENVIRONMENTSREFERENCES; MANAGING OPTIMALITY IN MULTI-SENSOR DATAFUSION CONSISTENCY USING INTERSECTION ANDLARGEST ELLIPSOID ALGORITHMS; ABSTRACT; 1. INTRODUCTION; 2. SENSORS NETWORK ARCHITECTURE; 2.1. Decentralized Sensors Network; 2.2. The General Structure of Decentralized Architecture; 2.3. The Problem of Data Consistency in Sensor Networks; 3. THE KALMAN'S FILTER; 4. COVARIANCE INTERSECTION; 5. THE COVARIANCE INTERSECTION ALGORITHM; 6. LARGEST ELLIPSOID ALGORITHM; 6.1. The Intersection Problem; 6.2. Covariance Ellipses.
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|a 6.3. Largest Ellipsoid AlgorithmCONCLUSION; REFERENCES; LINKING RESERVATION SYSTEMS FORREMOTE LABS; ABSTRACT; 1. INTRODUCTION; 2. WHEN A RESERVATION SYSTEM FOR REMOTE LABS IS NEEDED; 3. FUNCTIONALITY OF REMOTE LAB RESERVATION SYSTEMS; 3.1. Life Cycle of a Reservation; 3.2. Access Control; Implementation Example; 3.3. Reservation Policies; Implementation Examples; 3.4. Logging of Actions and Data; Implementation Example; 3.5. Monitoring of Labs; Implementation Example; 4. ARCHITECTURE OF REMOTE LAB RESERVATION SYSTEMS; 5. GENERIC INTERFACE FOR REMOTE LAB RESERVATION SYSTEMS.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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|a Automation.
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|a Automatisation.
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|a automation.
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|a TECHNOLOGY & ENGINEERING
|x Engineering (General)
|2 bisacsh
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|a TECHNOLOGY & ENGINEERING
|x Reference.
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|a Automation
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| 700 |
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|a Gupta, Navarun,
|e editor.
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| 700 |
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|a Ray, Saikat,
|e editor.
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| 700 |
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|a Sobh, Tarek M.,
|e editor.
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| 758 |
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|i has work:
|a Online engineering (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFrJDHRvfrJRB9dxX3H9WC
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Print version:
|t Online engineering.
|d New York : Nova Science Publishers, Inc., ©2009
|z 1607411660
|w (DLC) 2009003915
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