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OverviewThe 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. Full Product DetailsAuthor: Ning Wang , Qianlong Lan (Professor, University of Houston, TX) , Xuemin Chen (Broadcom Corporation, San Diego, California, USA) , Gangbing Song (Professor, University of Houston, TX)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.254kg ISBN: 9780367334413ISBN 10: 0367334410 Pages: 98 Publication Date: 15 April 2020 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. 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.ReviewsAuthor InformationNing Wang, Qianlong Lan, Xuemin Chen, Gangbing Song, Hamid Parsaei Tab Content 6Author Website:Countries AvailableAll regions |
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