| Autore |
Gupta Navarun
|
| Edizione | [1st ed.] |
| Pubbl/distr/stampa |
Hauppauge, N.Y., : Nova Science, c2009
|
| Descrizione fisica |
1 online resource (213 p.)
|
| Disciplina |
620
|
| Altri autori (Persone) |
RaySaikat
SobhTarek M
|
| Soggetto topico |
Automation
|
| ISBN |
1-61728-555-2
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Intro -- ONLINE ENGINEERING -- ONLINE ENGINEERING -- CONTENTS -- LIST OF TABLES -- LIST OF FIGURES -- EDITORIAL -- PREFACE -- Chapter 1 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 Networks -- 3. 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 Experiments -- 3.7.1. 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 LAB ENVIRONMENTS -- REFERENCES -- Chapter 2 MANAGING OPTIMALITY IN MULTI-SENSOR DATA FUSION CONSISTENCY USING INTERSECTION AND LARGEST 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 Algorithm -- CONCLUSION -- REFERENCES -- Chapter 3 LINKING RESERVATION SYSTEMS FOR REMOTE 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 -- 5.1. Design of the Interface -- 5.2. Functionality of the Interface -- Function 1: Get Available Labs -- Function 2: Get Lab Status -- Function 3: Get Free Time Slots -- Function 4: Make Reservation -- Function 5: Cancel Reservation -- Function 6: Effectuate Reservation -- Function 7: Get URL of Lab Results -- Function 8: Report that a Reservation Was Cancelled -- Function 9: Report that a Lab Was Removed -- 5.3. Implementation Choices -- 5.4. Security -- 5.5. Requirements to Participating Reservation Systems -- Requirements for Lab Providers -- Requirements for Consumers -- 5.6. Dealing with Different Policies.
Implementation Results -- Network of Reservation Systems -- CONCLUSIONS -- REFERENCES -- Chapter 4 TELEROBOTIC SYSTEM WITH A VIRTUAL REALITY HUMAN-MACHINE INTERFACE -- 1. INTRODUCTION -- 2. PREVIOUS WORK -- 3. MUMATE TELEROBOTIC EXPERIMENT -- 3.1. Remote Robotics Laboratory Set-Up -- 3.2. Software Organization -- 3.3. Interface to MuMaTE Server -- 3.4. Robot Task File -- 3.5. Interface between the VRML Robot Model and Vraniml Browser -- 3.6. VRaniML Browser and V-Collide Software Interface -- 3.7. Conclusion -- 4. RLAB TELEROBOTIC EXPERIMENT -- 4.1. Robotic Arm's System -- 4.2. Communication between the Robotic Arm's Executive Server and User Using The xPC Target Operating System -- 4.3. Remote Rapid Robot Control Prototyping -- 4.4. Remote-Robot Control with Rlab -- 4.5. Collision Detection in Rlab Environment -- 4.6. Experimental Remarks -- 4.7. Conclusions -- 5. FURTHER DEVELOPMENT -- 5.1. Increasing the Local Autonomy of a Telerobot -- 5.2. Adding a Haptic Device in a Telerobot System with a Human Operator in the Closed Feedback Loop -- 5.3. Including Dynamical Changes of the Virtual Robotic Arm's Environment -- 5.4. Conclusions -- REFERENCES -- Chapter 5 ONLINE ENGINEERING IN UNIVERSITY ENVIRONMENT -- 1. GRAPHICAL PROGRAMMING -- 1.1. LabVIEW -- 1.2. VEE-Pro -- 2. ONLINE ENGINEERING AND EXPERIMENTS -- 2.1. Local or Remote Laboratories -- 2.2. DataSocket Technology -- 2.3. TCP-IP Technology -- 2.4. LXI Standard -- 3. WIRELESS COMMUNICATIONS IN REMOTE LABS -- 3.1. Wireless Technologies -- 3.2. ZigBee Protocol -- 3.3. Radio Frequency Identification (RFID) -- Inventory management -- Asset tracking -- Assembly automation -- 3.4. WI-FI Tag - WiFi Sensor TAG -- 4. GOOD PRACTICE EXAMPLES -- 4.1. Introduction -- 4.2. The Bluetooth Communication and the Remote Control -- 4.2.1. The Bluetooth in Medical Application -- The System Setup.
The Application -- 4.3. ZigBee Used in Control and Monitoring -- The System's Structure -- 4.4. Software Application -- 4.5. WiTAG a New Wireless Technology -- 4.5.1. The First Scenario -- 4.5.2. The Second Scenario -- 5. REMOTE ENGINEERING AS A NEW TEACHING/LEARNING METHODOLOGY -- 5.1. Generalities about Remote Engineering -- 5.2. Some Remarks about Remote Engineering and Education System -- 5.3. REMOTE ENGINEERING AS A PART OF THE E-LEARNING -- CONCLUSIONS -- REFERENCES -- Chapter 6 ADVANCED RESERVATION NETWORK ARCHITECTURES FOR SCIENTIFIC APPLICATIONS: AN ALGORITHMIC PERSPECTIVE -- ABSTRACT -- 1. NEW ARCHITECTURES FOR HIGH-THROUGHPUT APPLICATIONS -- 2. BACKGROUND -- 2.1. High-Throughput Applications -- 2.2. Existing High-Bandwidth Testbeds -- 2.3. Literature Review on Advanced Reservation Scheduling Algorithms -- 3. NOTATION AND MODEL -- 4. DERIVATION OF CAPACITY BOUNDS -- 5. GRADED CHANNEL RESERVATION (GCR) -- 5.1. Path Grading -- 5.1.1. Motivation -- 5.1.2. Basic Algorithm -- 5.1.3. Other grading criteria -- 5.2. Path Switching -- 5.2.1. Motivation -- 5.2.2. Algorithm -- 5.2.3. Minimum Path Switching -- 5.2.4. Bounded Path Switching -- 6. SIMULATION AND PERFORMANCE EVALUATION -- 6.1. Simulation Parameters -- 6.2. Simulation Results -- CONCLUSION AND FUTURE WORK -- 7.1. Competitive Approach -- 7.2. Distributed ACR -- 7.3. Conclusion -- APPENDIX -- REFERENCES -- INDEX -- Blank Page.
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| Record Nr. | UNINA-9910812388703321 |
Info
Online engineering [[electronic resource] /] / Navarun Gupta, Saikat Ray, and Tarek Sobh, editors
