ENGINEERING PRACTICES ON
FUZZY LOGIC, NEURAL NETWORKS
AND HYBRID INTELLIGENT SYSTEMS
Organised by
DEPARTMENT OF MATHEMATICS & DEPARTMENT OF EEE
NATIONAL INSTITUTE OF TECHNOLOGY
TIRUCHIRAPPALLI – 620 015
TAMILNADU, INDIA.
COURSE OBJECTIVES
After the development of fuzzy logic and
neural networks, there has been a tremendous
change in all branches of engineering and
medicine. Using them, several engineering
problems have been solved by its accuracy and
usefulness. Recently applications in these areas and
integration of these systems synergise the overall
problem solving capability. So this induction
training programme gives a comprehensive package
in the area of fuzzy logic and neural network
fundamentals with applications ranging in the
engineering field. Also a concise package on bioinspired
intelligent systems will be dealt.
The objectives of this SDP are
Enriching the knowledge of fuzzy logic,
neural networks and hybrid intelligent
systems with engineering applications for
academicians, researchers and students.
Participants can interact with nationwide
experts.
COURSE CONTENTS
The following topics will be covered in the course:
♦ Fuzzy set theory
♦ Fuzzy fixed point theory
♦ Intuitionistic fuzzy set theory
♦ Fuzzy mathematical modeling
♦ Intuitionistic fuzzy mathematical modeling
♦ Neural networks, Algorithms and
Applications
♦ Demo of fuzzy logic and neural networks
using MATLAB
♦ Bio-inspired intelligent algorithms and
programming
♦ Hybrid intelligent systems
ADDRESS FOR CORRESPONDENCE
Dr. V. Lakshmana Gomathi Nayagam /
Dr. Sishaj P Simon
The Coordinator,
AICTE - Staff Development Programme
Department of Mathematics / Department of
Electrical and Electronics Engineering,
National Institute of Technology,
Tiruchirappalli – 620 015
Tamilnadu, India.
Mobile: 09443881718, 09944073421
Fax : 0431– 2500133
Email : velulakshmanan@nitt.edu,
sishajpsimon@nitt.edu
Sunday, April 26, 2009
DATA WAREHOUSING AND DATA MINING 25th May, 2009 – 6th June, 2009
DATA WAREHOUSING
AND
DATA MINING
25th May, 2009 – 6th June, 2009
SDP on Data Warehousing and Data Mining
Department of Computer Applications
National Institute of Technology
Tiruchirappalli – 15.
Phone: 9486001177/ 9442601978/9443781597
Fax: 0431 – 2500133
Email: ramjeevan@nitt.edu
sangeetha@nitt.edu
reddy@nitt.edu
PREAMBLE
Data warehousing and data mining is one of the most advanced fields of computer science which involves use of Mathematics, Statistics, Information Technology and information Sciences in discovering new information and knowledge from large databases It is a new emerging interdisciplinary area of research and development which has created interest among scientists of various disciplines like computer science, mathematics, statistics, information technology etc. It has also been incorporated in the curriculum of B.Tech., M.Tech., MCA and PhD Courses in the areas of computer science, Information Technology, Bio Informatics etc. One of the problems that the country is facing is lack of trained man power in this area. Also the faculty is teaching only theory of data warehousing and data mining in colleges and the practical aspect of the subject is missing. In view of this it is proposed to organize short term/refresher course on data warehousing and data mining at NIT, Tiruchirappalli to update the knowledge of the faculty. Thus this program will be highly relevant for technical education especially for participants from Computer Science, Information Technology and Computer Applications etc.. Further this program will be of great national interest, as it will provide a platform for sharing knowledge, expertise and resources, in the area of data warehousing and data mining.
COURSE CONTENT
The topics to be covered in the training program are Large Databases, Data Warehousing concepts tools & techniques, Data mining concepts, methods and techniques, Association rule mining, Clustering Fuzzy Modeling and neural networks, Classification and web mining.
AND
DATA MINING
25th May, 2009 – 6th June, 2009
SDP on Data Warehousing and Data Mining
Department of Computer Applications
National Institute of Technology
Tiruchirappalli – 15.
Phone: 9486001177/ 9442601978/9443781597
Fax: 0431 – 2500133
Email: ramjeevan@nitt.edu
sangeetha@nitt.edu
reddy@nitt.edu
PREAMBLE
Data warehousing and data mining is one of the most advanced fields of computer science which involves use of Mathematics, Statistics, Information Technology and information Sciences in discovering new information and knowledge from large databases It is a new emerging interdisciplinary area of research and development which has created interest among scientists of various disciplines like computer science, mathematics, statistics, information technology etc. It has also been incorporated in the curriculum of B.Tech., M.Tech., MCA and PhD Courses in the areas of computer science, Information Technology, Bio Informatics etc. One of the problems that the country is facing is lack of trained man power in this area. Also the faculty is teaching only theory of data warehousing and data mining in colleges and the practical aspect of the subject is missing. In view of this it is proposed to organize short term/refresher course on data warehousing and data mining at NIT, Tiruchirappalli to update the knowledge of the faculty. Thus this program will be highly relevant for technical education especially for participants from Computer Science, Information Technology and Computer Applications etc.. Further this program will be of great national interest, as it will provide a platform for sharing knowledge, expertise and resources, in the area of data warehousing and data mining.
COURSE CONTENT
The topics to be covered in the training program are Large Databases, Data Warehousing concepts tools & techniques, Data mining concepts, methods and techniques, Association rule mining, Clustering Fuzzy Modeling and neural networks, Classification and web mining.
Enum Technology
Enum Technology
ABSTRACT
ENUM is a solution to the question of how network elements can find services on the Internet using only a telephone number, and how telephones, which have an input mechanism limited to twelve keys on a keypad, can be used to access Internet services. It will provide cost savings and revenue opportunities for both carriers and customers, and it will solve many of the interoperability problems faced by the Voice over IP (VoIP) industry.
ENUM at its most basic is the convergence of the Public Switched Telephone Network (PSTN) and Internet Protocol (IP) networks; it is the mapping of a telephone number from the PSTN to Internet functionalities. ENUM takes a complete, international telephone number and resolves it to a fully qualified domain name address using a Domain Name Service (DNS)-based architecture.
ABSTRACT
ENUM is a solution to the question of how network elements can find services on the Internet using only a telephone number, and how telephones, which have an input mechanism limited to twelve keys on a keypad, can be used to access Internet services. It will provide cost savings and revenue opportunities for both carriers and customers, and it will solve many of the interoperability problems faced by the Voice over IP (VoIP) industry.
ENUM at its most basic is the convergence of the Public Switched Telephone Network (PSTN) and Internet Protocol (IP) networks; it is the mapping of a telephone number from the PSTN to Internet functionalities. ENUM takes a complete, international telephone number and resolves it to a fully qualified domain name address using a Domain Name Service (DNS)-based architecture.
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