Development of a Remote Laboratory for Engineering Education

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.

List of contents

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.

About the author

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

Summary

As information technology is constantly progressing, the remote laboratory (RL) development needs to keep up with the brisk pace. To address the needs of the remote laboratory for education and research, the authors have developed a unified framework for virtual and remote laboratory development.

Product details

• Authors: Xuemin Chen, Chen Xuemin, Qianlong Lan, Hamid Parsaei, Gangbing Song, Ning Wang, Ning Lan Wang, Wang Ning
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 13.12.2021
• EAN: 9781032237480
• ISBN: 978-1-0-3223748-0
• No. of pages: 118
• Series: Technology Guides
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; Software Engineering, COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Industrial Engineering, COMPUTERS / Information Technology, COMPUTERS / Networking / General, computer science, COMPUTERS / Computer Engineering, Ethical & social aspects of IT, Engineering: general, Industrial or vocational training, Computer networking & communications, Computer networking and communications