Development of a Remote Laboratory for Engineering Education

Ning Wang

ISBN 10: 1032237481 / ISBN 13: 9781032237480

Published by CRC Press, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781032237480

Bibliographic Details

• Title: Development of a Remote Laboratory for Engineering Education
• Publisher: CRC Press
• Publication Date: 2021
• Language: English
• ISBN 10: 1032237481
• ISBN 13: 9781032237480
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 216W x 140H x 7D millimeters 216 millimeters width by 140 millimeters height by 7 millimeters depth
• Weight: 160 grams

About this title

Synopsis

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.

About the Author

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