Lingfeng Wang & Kay CHen Tan 
Modern Industrial Automation Software Design 

* The main subjects in this book relate to software development
using cutting-edge technologies for real-world industrial
automation applications

* A hands-on approach to applying a wide variety of emerging
technologies to modern industrial practice problems

* Explains key concepts through clear examples, ranging from
simple to more complex problem domains, and all based on real-world
industrial problems

* A useful reference book for practicing engineers as well as an
updated resource book for researchers

Table of Content

Preface.

Acknowledgments.

Acroyms.

Part I. Design Principles of Modern Industrial Automation
Systems.

1. Introduction.

2. Virtual Instrumentation.

3. Component-Based Measurement Systems.

4. Object-Oriented Software Engineering.

5. Graphical User Interface Design.

6. Database Management.

7. Software Testing.

Part II. Real-World Applications.

8. Overview.

9. An Object-Oriented Reconfigurable Software.

10. Flexible Measurement Point Management.

11. A Blending System Using Multithreaded Programming.

12. A Flexible Automatic Test System for Rotating Turbine
Machinery.

13. An Internet-Based Online Real-Time Condition Monitoring
System.

14. Epilog.

Index.

About the author

L. F. Wang received his B.Eng degree in measurement and
instrumentation from Zhejiang University, China in 1997, a M.Eng
degree in instrumentation science and engineering from Zhejiang
University, China in 2000, and a M.Eng degree in electrical and
computer engineering from National University of Singapore,
Singapore in 2002. Currently he is a researcher in the
Electrical and Computer Engineering Department at
the University of Virginia, U.S.A. He has published over 40
technical papers in the fields of industrial measurement, testing,
and supervision, fault-tolerant control, and autonomous agents. He
has served as a technical program committee member for some
international conferences. He is also an active reviewer for many
leading international journals and conferences. He was ‘one
of the valued and trusted contributors’ in AUTOTESTCON 2000.
His current research interests include networked and embedded
software technology for aerospace applications, and adaptive
resource management in real-time systems.

K. C. Tan received the B.Eng. degree with first class
honors in electronics and electrical engineering and the Ph.D.
degree from the University of Glasgow, Glasgow, Scotland, in 1994
and 1997, respectively. He was with the Center for Systems &
Control and the Evolutionary Computing Group, Glasgow, Scotland,
before joining the Department of Electrical and Computer
Engineering, National University of Singapore, as an Assistant
Professor in 1997. He has authored or coauthored more than 100
journal and conference publications and has served as a program
committee or organizing member for many international conferences.
He currently holds Associate Editor appointments in IEEE
Transactions on Evolutionary Computation and International Journal
of Systems Science (Taylor and Francis, London). His current
research interests include computational intelligence, evolutionary
computing, intelligent control, and engineering designs
optimization.