Online engineering /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Gupta, Navarun (Editor ), Ray, Saikat (Editor ), Sobh, Tarek M. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, Inc., ©2009.
Temas:
Automation.
Automatisation.
automation.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Automation
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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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