Development of a Remote Laboratory for Engineering Education

Ning Wang, Qianlong Lan (Professor, University of Houston, TX), Xuemin Chen (Broadcom Corporation, San Diego, California, USA) , Gangbing Song (Professor, University of Houston, TX)

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English

CRC Press
13 December 2021

Industrial or vocational training; Engineering: general; Software Engineering; Computer networking & communications; Computer science

Series: Technology Guides

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.

By: Ning Wang, Qianlong Lan (Professor, University of Houston, TX), Xuemin Chen (Broadcom Corporation, San Diego, California, USA), Gangbing Song (Professor, University of Houston, TX), Hamid Parsaei (Texas A&M University)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 216mm, Width: 138mm,
Weight: 149g
ISBN: 9781032237480
ISBN 10: 1032237481
Series: Technology Guides
Pages: 118
Publication Date: 13 December 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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