Wang / Lan / Chen | Development of a Remote Laboratory for Engineering Education | Buch | 978-1-032-23748-0 | sack.de

Buch, Englisch, 118 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 160 g

Reihe: Technology Guides

Wang / Lan / Chen

Development of a Remote Laboratory for Engineering Education

Buch, Englisch, 118 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 160 g

Reihe: Technology Guides

ISBN: 978-1-032-23748-0
Verlag: CRC Press


The field of information technology continues to advance at a brisk pace, including the use of Remote Laboratory (RL) systems in education and research. To address the needs of remote laboratory development for such purposes, the authors present a new state-of-the-art unified framework for RL system development. Included are solutions to commonly encountered RL implementation issues such as third-party plugin, traversing firewalls, cross platform running, and scalability, etc.

Additionally, the book introduces a new application architecture of remote lab for mobile-optimized RL application development for Mobile Learning (M-Learning). It also shows how to design and organize the remote experiments at different universities and make available a framework source code.

The book is intended to serve as a complete guide for remote lab system design and implementation for an audience comprised of researchers, practitioners and students to enable them to rapidly and flexibly implement RL systems for a range of fields.
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Professional

Weitere Infos & Material


1. Introduction. 2. Introduction of Remote Laboratory Technology. 3. A Novel Flexible Framework for Rapid Integrating Offline Experiment into Remote Laboratory System. 4. Cloud-based RLaaS-Frame Framework for Remote Laboratory System Rapid Deployment. 5. A Novel Mobile Optimized Remote Laboratory Application Architecture. 6. A Novel Online Programmable Platform for Remote Programmable Control Experiment Development. 7. Wiki-based Remote Laboratory Platform for Engineering Education. 8. Case Studies. 9. Conclusions and Future Works.


Ning Wang, Qianlong Lan, Xuemin Chen, Gangbing Song, Hamid Parsaei


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