Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications

479 Pages·2006·12.3 MB·English

by  Xuan F. Zha

Artificial Intelligence
and Integrated Intelligent
Information Systems:
Emerging Technologies
and Applications
Xuan F. Zha
National Institute of Standards and Technology,
University of Maryland, USA & Shanghai JiaoTong University, China
IdEA Group publIShInG
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Library of Congress Cataloging-in-Publication Data
Artificial intelligence and integrated intelligent information systems : emerging technologies and applications /
Xuan F. Zha, editor.
p. cm.
Summary: “This book presents the recent advances in multi-mobile agent systems, the product development
process, fuzzy logic systems, neural networks and ambient intelligent environments among many other innova-
tions in this exciting field”--Provided by publisher.
Includes bibliographical references and index.
ISBN 1-59904-249-5 -- ISBN 1-59904-250-9 (pbk.) -- ISBN 1-59904-251-7 (eISBN)
1. Expert systems (Computer science) 2. Soft computing. 3. Artificial intelligence. I. Zha, Xuan F., 1965-
QA76.76.E95A75 2007
006.3’3--dc22
2006027707
British Cataloguing in Publication Data
A Cataloguing in Publication record for this book is available from the British Library.
All work contributed to this book is new, previously-unpublished material. The views expressed in this book are
those of the authors, but not necessarily of the publisher.
Artificial Intelligence
and Integrated Intelligent
Information Systems:
Emerging Technologies
and Applications
Table of Contents
Foreword.......................................................................................................................vii
Preface............................................................................................................................ix
Section.I:.
Emerging.Intelligent.Technologies.and.Applications
Chapter.I
Human-Based.Models.for.Ambient.Intelligence.Environments................................1
Giovanni Acampora, Università degli Studi di Salerno, Italy
Vincenzo Loia, Università degli Studi di Salerno, Italy
Michele Nappi, Università degli Studi di Salerno, Italy
Stefano Ricciardi, Università degli Studi di Salerno, Italy
Chapter.II
Intelligent.Ant.Colony.System.for.Traveling.Salesman.Problem.
and.Clustering..............................................................................................................18
Shu-Chuan Chu, Cheng Shiu University, Taiwan
Jeng-Shyang Pan, Kaohsiung University of Applied Sciences, Taiwan, &
Harbin Institute of Technology, China
Chapter.III
Information.Networks.as.Complex.Systems:.
A.Self-Repair.and.Regulation.Model.........................................................................43
Yoshiteru Ishida, Toyohashi University of Technology, Japan
Chapter.IV
Soft.Statistical.Decision.Fusion.for.Distributed.Medical.Data.on.Grids................59
Yu Tang, Georgia State University, USA
Yan-Qing Zhang, Georgia State University, USA
Section.II:.
Hybrid.Intelligent.Systems.and.Applications
Chapter.V
Designing.Layers.in.Hierarchial.Fuzzy.Logic.Systems.
Using.Genetic.Algorithms............................................................................................76
Masoud Mohammadian, University of Canberra, Australia
Russel Stonier, Central Queensland University, Australia
Chapter.VI
Intelligent.Text.Mining:.Putting.Evolutionary.Methods.and.
Language.Technologies.Together................................................................................88
John Atkinson, Universidad de Concepción, Chile
Chapter.VII
An.Evolutionary.Framework.for.Nonlinear.Time-Series.Prediction.
with.Adaptive.Gated.Mixtures.of.Experts...............................................................114
André L. V. Coelho, University of Fortaleza (Unifor), Brazil
Clodoaldo A. M. Lima, State University of Campinas (Unicamp), Brazil
Fernando J. Von Zuben, State University of Campinas (Unicamp), Brazil
Chapter.VIII
Applications of Artifical Intelligence in the Process Control of
Electro.Chemical.Discharge.Machining.(ECDM)..................................................139
T. K. K. R. Mediliyegedara, Glasgow Caledonian University, UK
A. K. M. De Silva, Glasgow Caledonian University, UK
D. K. Harrison, Glasgow Caledonian University, UK
J. A. McGeough, The University of Edinburgh, UK
Section.III:.
Innovative.Intelligent.Computing,.Information,.and.Control
Chapter.IX
Neural.Networks.and.3D.Edge.Genetic.Template.Matching.
for.Real-Time.Face.Detection.and.Recognition......................................................164
Stephen Karungaru, University of Tokushima, Japan
Minoru Fukumi, University of Tokushima, Japan
Norio Akamatsu, University of Tokushima, Japan
Chapter.X
Colored.Local.Invariant.Features.for.Distinct.Object.Description.
in.Vision-Based.Intelligent.Systems..........................................................................178
Alaa E. Abdel-Hakim, University of Louisville, USA
Aly A. Farag, University of Louisville, USA
Chapter.XI
Automated.Object.Detection.and.Tracking.for.
Intelligent.Visual.Surveillance.Based.on.Sensor.Network.....................................206
Ruth Aguilar-Ponce, University of Louisiana - Lafayette, USA
Ashok Kumar, University of Louisiana - Lafayette, USA
J. Luis Tecpanecatl-Xihuitl, University of Louisiana - Lafayette, USA
Magdy Bayoumi, University of Louisiana - Lafayette, USA
Mark Radle, University of Louisiana - Lafayette, USA
Chapter.XII
Fuzzy.Coach-Player.System.for.Controlling.a.Robot.Manipulator......................229
Chandimal Jayawardena, Saga University, Japan
Keigo Watanabe, Saga University, Japan
Kiyotaka Izumi, Saga University, Japan
Section.IV:.
Modeling.and.Development.of.Intelligent.Information.Systems
Chapter.XIII
Multi-Level.Modeling.of.Multi-Mobile.Agent.Systems..........................................252
Ernesto López-Mellado, CINVESTAV Unidad Guadalajara, Mexico
Chapter.XIV
Development.of.an.Intelligent.Information.System.
for.Object-Oriented.Software.Design......................................................................273
Gary P. Moynihan, The University of Alabama, USA
Bin Qiao, The University of Alabama, USA
Matthew E. Elam, The University of Alabama, USA
Joel Jones, The University of Alabama, USA
Chapter.XV
An.Agent.Based.Formal.Approach.for.Modeling.and.Verifying.
Integrated.Intelligent.Information.Systems............................................................287
Leandro Dias da Silva, Federal University of Campina Grande, Brazil
Elthon Allex da Silva Oliveira, Federal University of Campina Grande, Brazil
Hyggo Almeida, Federal University of Campina Grande, Brazil
Angelo Perkusich, Federal University of Campina Grande, Brazil
Chapter.XVI
Intelligent.Remote.Monitoring.and.Maintenance.Systems....................................303
Chengliang Liu, Shanghai JiaoTong University, China
Xuan F. Zha, National Institute of Standards and Technology,
University of Maryland, USA & Shanghai JiaoTong University, China
Section.V:.
Integrated.Intelligent.Product.Design.and.Development
Chapter.XVII
An.Integrated.Intelligent.System.Model.and.Its.Applications.
in.Virtual.Product.Design.and.Development...........................................................342
Xuan F. Zha, National Institute of Standards and Technology,
University of Maryland, USA & Shanghai JiaoTong University, China
Chapter.XVIII
Document-Driven.Design.for.Distributed.CAD.Services.......................................371
Yan Wang, University of Central Florida, USA
Chapter.XIX
Towards.a.Design.Process.for.Integrating.Product.
Recommendation.Services.in.E-Markets.................................................................398
Nikos Manouselis, Informatics Laboratory,
Agricultural University of Athens, Greece
Constantina Costopoulou, Informatics Laboratory,
Agricultural University of Athens, Greece
Chapter.XX
A.Stage.Model.for.NPD.Process.Maturity.and.IKMS.Implementation................418
Nassim Belbaly, UCLA Anderson Business School of Management, USA
Hind Benbya, UCLA Anderson Business School of Management, USA
About.the.Authors......................................................................................................438
Index............................................................................................................................449
vii
Foreword
At the start of the 20th century, national economies on the international scene were, to a
large extent, agriculturally based. This was, perhaps, the dominant reason for the protrac-
tion on the international scene of the Great Depression, which began with the Wall Street
stock market crash of October 1929. After World War II, the trend away from agriculturally
based economies and toward industrially based economies continued and strengthened.
Indeed, today, in the United States, approximately only 1% of the population is involved
in the agriculture requirements of the U.S. and, in addition, provides significant agriculture
exports. This, of course, is made possible by the greatly improved techniques and technolo-
gies utilized in the agriculture industry.
The trend toward industrially based economies after World War II was, in turn, followed by
a trend toward service-based economies. In the United States today, roughly more than 70%
of the employment is involved with service industries — and this percentage continues to
increase. Separately, the electronic computer industry began to take hold in the early 1960s,
and thereafter always seemed to exceed expectations. For example, the first large-scale sales
of an electronic computer were of the IBM 650. At that time, projections were that the total
sales for the United States would be 25 IBM 650 computers. Before the first one came off
the production line, IBM had initial orders for more than 30,000. That was thought to be
huge by the standards of that day, and today it is a very miniscule number, to say nothing of
the fact that its computing power was also very miniscule by today’s standards. Computer
mainframes continued to grow in power and complexity. At the same time, Gordon Moore, of
“Moore’s Law” fame, and his colleagues founded INTEL. Then, around 1980, MICROSOFT
was founded, but it was not until the early 1990s, not that long ago, that WINDOWS was
created — incidentally, after the APPLE computer family started. The first browser was the
NETSCAPE browser, which appeared in 1995, also not that long ago. Of course, computer
networking equipment, most notably CISCO’s, also appeared about that time. Toward the
end of the last century the dot.com “bubble” occurred and “burst” around 2000.
Coming to the new millennium, for most of our history the wealth of a nation was limited
by the size and stamina of the workforce. Today, national wealth is measured in intellectual
capital. Nations possessing skillful people in such diverse areas as science, medicine, busi-
ness, and engineering produce innovations that drive the nation to a higher quality of life. To
better utilize these valuable resources, intelligent systems technology has evolved at a rapid
viii
and significantly expanding rate, and can be utilized by nations to improve their medical
care, advance their engineering technology, and increase their manufacturing productivity,
as well as play a significant role in a wide variety of other areas of activity of substantive
significance.
The breadth of the major application areas of intelligent systems technology is very im-
pressive. These include the following, among other areas: agriculture, electronics, business
engineering, chemistry, environment, communications, geology, computer systems, image
processing, education, information, management, military, law mining, manufacturing,
power systems, mathematics, science, medicine, space technology, meteorology, and trans-
portation.
It is difficult now to imagine an area that will not be touched by intelligent systems tech-
nology.
Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technolo-
gies and Applications edited by Xuan F. Zha, a leading contributor to intelligent systems
technology, consists of five well-integrated broad subject area sections. There are four
chapters in each section and, in all, there are 38 coauthors. These coauthors from academia
and government institutions are among the leading contributors to intelligent systems tech-
nology on the international scene.
Intelligent systems technology has come a long way in a relatively short time. The early days
were spent in a somewhat probing fashion, where researchers looked for ways to develop
methods that captured human intelligence. After considerable struggle, they fortunately
met with success. Armed with an understanding of how to design an intelligent system,
they went on to solve real-world problems. At this point, intelligent systems took on a very
meaningful role in the broad area of information technology. Along the way, there were a
few individuals who saw the importance of publishing the accomplishments of intelligent
systems technology, thus providing guidance to advance the field. Among this small group,
I believe that Dr. Zha has made among the largest contributions to this effort. I believe his
latest work in this volume he created and edited is one of his most valuable contributions
to date and should be in the possession of all individuals involved in the field of intelligent
systems technology.
Cornelius T. Leondes
Cornelius T. Leondes is an emeritus professor at the School of Engineering and Applied Science,
University of California, Los Angeles. He has served as a member or consultant on numerous national
blue ribbon technical panels and scientific advisory boards, including the first five-man advisory board
on the “Man on The Moon” project. He served as a consultant for numerous Fortune 500 companies
and international corporations. He has published more than 200 technical journal articles and has
edited and/or co-authored more than 120 books on high technology advances. He is a Guggenhein
fellow, Fulbright research scholar, and IEEE fellow, as well as a recipient of the IEEE Baker Prize
award and the Barry Carlton Award of the IEEE. He is regarded as a world-renowned expert in the
theory and application of computer and control systems technology.
ix
preface
For most of our history the wealth of a nation was limited by the size and stamina of the
work force. Today, national wealth is measured in intellectual capital. Nations possessing
skillful people in such diverse areas as science, medicine, business, and engineering produce
innovations that drive the nation to a higher quality of life. Artificial intelligence (AI) has
been studying the science and engineering of constructing intelligent systems. It is extensively
used by combining with information science and technology. To better utilize these valuable
resources, artificial intelligence (AI) technology has evolved at a rapid and significantly
expanding rate. Nowadays, it is difficult to imagine the development of the modern world
without extensive use of the AI and information technology and their integration that are
rapidly transforming the global, knowledge-based economy as well as entire societies.
Overview.on.Recent.Advances,.Issues.and.
Challenges.in..AI.and.IIIS
Most work in AI has focused on components of the overall system — such as learning,
planning, knowledge representation, perception, and action. Information system/technology
and intelligent knowledge management are playing an increasing role in business, science
and technology. The breadth of the major application areas of intelligent, knowledge-based
systems, and integrated intelligent information systems technologies is very impressive.
These include, among other areas: agriculture, business, chemistry, communications, com-
puter systems, education, electronics, engineering, environment, geology, image processing,
information management, law, manufacturing, mathematics, medicine, metrology, military,
mining, power systems, science, space technology, and transportation.
In recent years, with the advancement of artificial intelligence (AI) and information science
and technology, there has been a resurgence of work in combining individual intelligent sys-
tems (knowledge-based systems, fuzzy logic, neural networks, genetic algorithms, case-based
reasoning, machine learning and knowledge discovery, data mining algorithms, intelligent