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SOFT
COMPUTING
Soft
Computing Approach to Develop Intelligent Systems
- - A C Ojha
Soft
Computing (SC) is a relatively new paradigm in the field of
computing. It attempts to model human cognition in software
systems. Soft computing is likely to play a significant role
in science, engineering and business in future. Developers
should embrace it to showcase software systems that are supposed
to display human-like intelligence through learning from environment.
This article provides useful insights into soft computing
and its constituent technologies to develop intelligent systems
©
2006 IUP . All Rights Reserved.
DATA
CLUSTERING
Genetic
K-medoid Clustering
- - Satchidananda Dehuri, Ashish Ghosh and Rajib Mall
Clustering
is an unsupervised task. It is useful in several exploratory
pattern analyses, document grouping, image segmentation and
decision-making in data mining. Combinatorially, data clustering
is a difficult problem. Further, traditional methods such
as k-means and its variants use an iterative procedure and
yield a local minimum. K-means algorithm is also very sensitive
to noisy and outlier's data point, which are frequently encountered
in data mining field. Though k-medoid algorithm was found
to be better than k-means for outliers or other extreme values,
it may be trapped in numerous local minima. In order to overcome
its shortcomings, this article presents a genetic k-medoid
data clustering algorithm. This algorithm brings out several
improvements over the k-medoid algorithm. The experimental
results confirm the superiority of this algorithm over k-medoid
algorithms
©
2006 IUP . All Rights Reserved.
EXPERT
SYSTEM
Expert
System Using JESS
- - A C Ojha and Pinesh Shah
Expert System is a class of software systems that emulates
the knowledge and behavior of human experts to solve a problem.
The expert system has a long history in the field of computing
since 1970. It was hyped in a big way, in its initial days
of evolution but could not keep its promises in the subsequent
years. With successful developments in computational intelligence
technologies, expert system and other AI systems have made
a comeback to find a meaningful place in information systems,
which are becoming more and more intelligent with every passing
day. This article provides a refreshing introduction to expert
system and discusses how to develop it using JESS
©
2006 IUP . All Rights Reserved
DOCUMENT
PROCESSING
Some
Issues in Document Analysis and Recognition
- - K Chandra Sekharaiah and Upakaram Gopal
In this article, various issues related to document processing
are explored. Document processing is related with language
processing. It has been found that the present document processing
software is inadequate to process idioms and phrases in the
documents in interlingual translation
©
2006 IUP . All Rights Reserved
SOFTWARE
AGENTS
Multi-agent
System for Web Mining
- - A C Ojha
Rapid
developments in Information Technology and its huge popularity
have brought exponential growth to the World Wide Web as an
information super highway. Millions of people across the world
have pervasive access to a phenomenal amount of information
on the Web. The distributed and dynamic nature of the Web
has thrown challenges to information retrieval on this complex
information space. To cope with such environment, the promises
of software agent technology seem to be highly attractive.
Agents, being autonomous, collaborative and adoptive software
entities, are suitable for solving complex problems in this
domain. This article provides a conceptual architecture of
agent-based system for web content mining and claims to improve
search experience through efficiency and usability
©
2006 IUP . All Rights Reserved
IT
IN RESEARCH
Developing
IT for Research Support
- - Achintya Singhal, Navita Srivastava and Rakesh Mishra
The ability to visualize time-varying phenomena is absolutely
essential to ensure correct interpretation and analysis, provoke
insights, and communicate those insights to others. State-of-the-art
scientific computing technologies allow accurate numerical
modeling, animation sequences, etc., of many physical and
chemical processes in their spatial and temporal domains,
letting scientists to freely explore the domains. The fast
understanding of every domain and sub-domain of research and
facilitation in day-to-day working by development of complex
algorithms and continuous improvement for increasing efficacy,
and reducing time and space (distance) are the key of IT revolution.
This article is oriented towards the current IT developments
and evolving standards for the research support in the areas
of biology, chemistry, ecology, etc. Initially, the article
highlights various emerging fields and their affinity areas,
and in the subsequent sections, it focuses on the various
ongoing IT researches
©
2006 IUP . All Rights Reserved
DATA
STORAGE
SAN:
Storage Solution
- - Vishakha Munshi
Technologies
which constantly deliver improvements in performance, capacity,
size, functionality and so on, are continuously developing.
Many of these developments enable us to redefine the ways
of doing things and go about our everyday business. The advent
of Storage Area Network (SAN) is one such development, which
can lead to a paradigm shift in the way we organize and use
the IT infrastructure of an enterprise. SAN is a cutting edge
technology that can provide solutions for most challenging
business requirements. It can protect critical data and, at
the same time, provide faster data access. This article discusses
the evolution of SAN, its benefits and applications.
©
2006 IUP . All Rights Reserved.
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