Wang, Ning (Research scientist),

Development of a remote laboratory for engineering education / Ning Wang, Qianlong Lan, Xuemin Chen, Gangbing Song, and Hamid Parsaei. - 1 online resource. - Technology guides. Advancing capacity building in contemporary organizations .

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Author Biographies -- Introduction -- 1 Introduction of Remote Laboratory Technology -- 1.1 Introduction -- 1.2 Current Status of the RL Technology -- 1.3 The Development of RL Systems -- 1.3.1 Cloud Computing Technology for RL Systems' Implementation -- 1.3.2 Mobile RL Applications Development -- 1.3.3 Social Computing Technology for RL System Implementation -- 2 A Novel Flexible Framework for Rapidly Integrating Offline Experiment into Remote Laboratory System -- 2.1 Introduction 2.2 Methodology -- 2.2.1 Social IM Application Architecture -- 2.2.2 Node.js Web Engine -- 2.2.3 Data Transmission Protocol Selection -- 2.3 The Design of the Novel Flexible Framework -- 2.3.1 Client Web Module -- 2.3.2 Server Module -- 2.3.3 The New-Version LtoN Protocol -- 2.4 Summary -- 3 Cloud-Based RLaaS-Frame Framework for Rapid Deployment of Remote Laboratory Systems -- 3.1 Introduction -- 3.2 RLaaS-Frame Architecture -- 3.2.1 Experimental Application as a Service (EAaaS) Layer -- 3.2.2 Experimental Development Framework and Running Environment as a Service (EFEaaS) Layer 3.2.3 Basic Experimental Resources as a Service (BERaaS) Layer -- 3.2.4 Characteristic of the RLaaS-Frame -- 3.3 The Reference Deployment Process of the RLaaS-Frame -- 3.3.1 Application Service -- 3.3.2 Platform and Framework Service -- 3.3.3 Resource Aggregation Service -- 3.3.4 Detail Reference Deployment Process -- 3.4 Summary -- 4 A Novel Mobile-Optimized Remote Laboratory Application Architecture -- 4.1 Introduction -- 4.2 Novel Mobile-Optimized Application Architecture -- 4.2.1 Mobile-Optimized Application Layer -- 4.2.2 Unified Framework Layer 4.2.3 Characteristics of the New Mobile- Optimized Application Architecture -- 4.3 Summary -- 5 A Novel Online Programmable Platform for Remote Programmable Control Experiment Development -- 5.1 Introduction -- 5.1.1 Programmable Logic Controllers for Experimental Device Control -- 5.1.2 Software in Workstation for Experimental Device Control -- 5.1.3 Server-Based Programmable Environment for Experimental Equipment Control -- 5.2 Online Programmable Experiment Platform Architecture -- 5.2.1 UI Layer -- 5.2.2 Platform Kernel Layer -- 5.2.3 System Layer 5.2.4 Advantages of the Novel Online Programmable Experiment Platform -- 5.3 Summary -- 6 Wiki-Based Remote Laboratory Platform for Engineering Education -- 6.1 Introduction -- 6.2 Wiki-Based RL System Architecture -- 6.2.1 Client Layer -- 6.2.2 Platform Layer -- 6.2.3 Database Layer -- 6.3 The Implementation Process of the Wiki-Based RL Platform -- 6.4 Summary -- 7 Case Studies -- 7.1 Introduction -- 7.2 A Remote Shape Memory Alloy (SMA) Experiment -- 7.2.1 Methodology -- 7.2.2 Experimental Implementation -- 7.2.2.1 Hardware Setup -- 7.2.2.2 Software Implementation

"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, and scalability, etc. Additionally, the book introduces a new application architecture of remote lab for mobile-based 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 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"--

9780429326455 0429326459 9781000050141 1000050149 9781000050127 1000050122 9781000050103 1000050106


Engineering experiment stations.
Engineering--Study and teaching.
Distance education.
TECHNOLOGY / Manufacturing
COMPUTERS / Computer Science
COMPUTERS / Information Technology

TA416

620.0071/1
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