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Development of a Remote Laboratory for Engineering Education [Mīkstie vāki]

, (Professor, University of Houston, TX), (Professor, University of Houston, TX), (Texas A&M University), (Broadcom Corporation, San Diego, California, USA)
  • Formāts: Paperback / softback, 118 pages, height x width: 216x138 mm, weight: 149 g, 10 Illustrations, black and white
  • Sērija : Technology Guides
  • Izdošanas datums: 13-Dec-2021
  • Izdevniecība: CRC Press
  • ISBN-10: 1032237481
  • ISBN-13: 9781032237480
  • Mīkstie vāki
  • Cena: 31,30 €
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  • Formāts: Paperback / softback, 118 pages, height x width: 216x138 mm, weight: 149 g, 10 Illustrations, black and white
  • Sērija : Technology Guides
  • Izdošanas datums: 13-Dec-2021
  • Izdevniecība: CRC Press
  • ISBN-10: 1032237481
  • ISBN-13: 9781032237480
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.

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.

 

Preface ix
Author Biographies xi
Introduction xv
1 Introduction of Remote Laboratory Technology
1(17)
1.1 Introduction
1(2)
1.2 Current Status of the RL Technology
3(3)
1.3 The Development of RL Systems
6(12)
1.3.1 Cloud Computing Technology for RL Systems' Implementation
8(3)
1.3.2 Mobile RL Applications Development
11(4)
1.3.3 Social Computing Technology for RL System Implementation
15(3)
2 A Novel Flexible Framework for Rapidly Integrating Offline Experiment into Remote Laboratory System
18(10)
2.1 Introduction
18(2)
2.2 Methodology
20(4)
2.2.1 Social IM Application Architecture
20(1)
2.2.2 Node.js Web Engine
21(1)
2.2.3 Data Transmission Protocol Selection
22(2)
2.3 The Design of the Novel Flexible Framework
24(2)
2.3.1 Client Web Module
24(1)
2.3.2 Server Module
25(1)
2.3.3 The New-Version LtoN Protocol
25(1)
2.4 Summary
26(2)
3 Cloud-Based RLaaS-Frame Framework for Rapid Deployment of Remote Laboratory Systems
28(10)
3.1 Introduction
28(1)
3.2 RLaaS-Frame Architecture
29(4)
3.2.1 Experimental Application as a Service (EAaaS) Layer
30(1)
3.2.2 Experimental Development Framework and Running Environment as a Service (EFEaaS) Layer
30(1)
3.2.3 Basic Experimental Resources as a Service (BERaaS) Layer
31(1)
3.2.4 Characteristic of the RLaaS-Frame
32(1)
3.3 The Reference Deployment Process of the RLaaS-Frame
33(4)
3.3.1 Application Service
33(1)
3.3.2 Platform and Framework Service
34(1)
3.3.3 Resource Aggregation Service
35(1)
3.3.4 Detail Reference Deployment Process
35(2)
3.4 Summary
37(1)
4 A Novel Mobile-Optimized Remote Laboratory Application Architecture
38(6)
4.1 Introduction
38(1)
4.2 Novel Mobile-Optimized Application Architecture
39(3)
4.2.1 Mobile-Optimized Application Layer
39(2)
4.2.2 Unified Framework Layer
41(1)
4.2.3 Characteristics of the New Mobile-Optimized Application Architecture
42(1)
4.3 Summary
42(2)
5 A Novel Online Programmable Platform for Remote Programmable Control Experiment Development
44(8)
5.1 Introduction
44(3)
5.1.1 Programmable Logic Controllers for Experimental Device Control
45(1)
5.1.2 Software in Workstation for Experimental Device Control
46(1)
5.1.3 Server-Based Programmable Environment for Experimental Equipment Control
47(1)
5.2 Online Programmable Experiment Platform Architecture
47(4)
5.2.1 Ul Layer
48(1)
5.2.2 Platform Kernel Layer
49(1)
5.2.3 System Layer
50(1)
5.2.4 Advantages of the Novel Online Programmable Experiment Platform
50(1)
5.3 Summary
51(1)
6 Wiki-Based Remote Laboratory Platform for Engineering Education
52(8)
6.1 Introduction
52(1)
6.2 Wiki-Based RL System Architecture
53(4)
6.2.1 Client Layer
55(1)
6.2.2 Platform Layer
55(2)
6.2.3 Database Layer
57(1)
6.3 The Implementation Process of the Wiki-Based RL Platform
57(2)
6.4 Summary
59(1)
7 Case Studies
60(16)
7.1 Introduction
60(1)
7.2 A Remote Shape Memory Alloy (SMA) Experiment
60(6)
7.2.1 Methodology
61(2)
7.2.2 Experimental Implementation
63(1)
7.2.2.1 Hardware Setup
63(1)
7.2.2.2 Software Implementation
64(2)
7.2.3 Results and Discussion
66(1)
7.3 A Remote Proportional-Derivative-lntegral (PID) Motor Speed Control Experiment
66(5)
7.3.1 Methodology
66(1)
7.3.2 Experimental Implementation
67(1)
7.3.2.1 Hardware Setup
67(1)
7.3.2.2 Software Implementation
68(1)
7.3.3 Results and Discussion
69(2)
7.4 A Programmable Remote Robot Control Experiment
71(4)
7.4.1 Methodology
71(1)
7.4.2 Experimental Implementation
72(1)
7.4.2.1 Hardware Setup
72(1)
7.4.2.2 Software Implementation
73(1)
7.4.3 Results and Discussion
74(1)
7.5 Summary
75(1)
8 Conclusions and Future Works
76(3)
8.1 Conclusions
76(1)
8.2 Future Works
77(2)
References 79(16)
Index 95
Ning Wang, Qianlong Lan, Xuemin Chen, Gangbing Song, Hamid Parsaei