CTDT - Anna University

Brief Write up of Most Successful Research Projects:

Development of Front End Tools for Semantic Grid Services

We developed a semantic component that enables semantic description of grid resources with the help of ontology template. A semantic grid architecture was described by implementing knowledge layer at the top of grid bus broker architecture and thereby enabling broker to discover resources semantically. The description of grid services was also done semantically thereby enabling easier and efficient discovery of grid services. Further a matchmaking system that performs matchmaking of requested grid services with that of advertised ones to discover best suitable service was also developed. The matchmaking algorithm implemented considers functionality of the requested service as critical factor for faster and accurate discovery of services. The developed semantic module was successfully integrated with the GARUDA – our national grid and it is operational.

Areas of application : Computational Grids, Metaschedulers
: Semantic component was developed and deployed in GARUDA Grid

Development of Trust Components for Secured Commercial Grid Services

The project developed an architecture that addresses the issue of Security requirements for Enterprise grid services. The architecture does not require Kerberos client software in the client side and is implemented as grid service that supports Service Oriented Architecture. This portable nature of the authentication mechanism proposed facilitates the use of grid environment for commercial grid services and also for utility computing. A Multi-dimensional Trust model which is based on parameters such as service, Transaction, Technology, Institutional, Social and Consumer Behavioral dimensions of a resource was developed. The Trust Management System (TMS) was successful in representing and quantifying the trust which was earlier subjective in terms. The framework suits in evaluating the trustworthiness of various entities viz Service provides, Customers, Trust Manager in commercial applications.

Areas of application : Commercial Grids

Missile Defense and Interceptor Allocation Using Neural Network Approach

This project is to propose a solution methodology for a missile defense problem involving the sequential allocation of defense resources over a series of engagements. The problem is computationally complex due to the presence of enormous state space. This paper proposes a reinforcement learning control approach for overcoming the complex state space issues. A new block architecture is proposed and implemented by using the LVQ-RBF multi agent Hybrid neural architecture. An artificial neural network (ANN) serves as the learning structure, and Q-learning as the learning method. The new architecture improvises the learning performance due to the local and global error criterion. The new architecture enables better simulation by increasing the number of assets and the number of categorization of the priorities used in simulation. The state space is explored by initial coarse partitioning and fine partitioning of the state space is performed by using the multi agent RBF neural network.

Areas of application : Artificial Intelligence

Development of Knowledge Based Wind Tunnel Test Data Management System

The project objective is to design a framework for the development of Knowledge Base Management System for aerodynamic domain using Wind Tunnel Test data. It provides the facility to create efficient storage for the raw test data used in the testing of aircraft, missiles and requisite correlation with mission performance data. This data base encompasses a variety of test result with wide range of aerodynamic parametric variations and has been performed in different wind tunnels. In the development of missile a large amount of wind tunnel test results has been produced. This wind tunnel test data is a valuable asset for designing missiles by similarity and design improvement. The existing Wind Tunnel Test data can be transformed to better Knowledge Management System for better utilization and in future improvement of Aerodynamic design

Areas of application : Data Management System

Design and Development of Caching System based on Client Web Trace Characterisation

Today millions of clients are accessing thousands of websites on a daily basis, with relatively a few popular sites supplying a large proportion of the traffic. Almost all of this traffic in WWW is to deliver the web object to the indented client or the user, and the ancillary traffic is to locate that web object. A great deal of WWW traffic comprises of unwanted re-fetching from remote sites of popular web objects. This project is aimed at reducing the volume of network traffic produced by web clients and servers and also to improve the response time for the users.

Areas of application : Computer networks and Caching Systems

Design and development of Enhanced OS for a Flosolver series of Parallel Processor having Floswitch

The Sixth version of Flosolver parallel computer Mark-6 which is based on distributed memory system is located at National Aerospace Laboratories, Bangalore. The main application of Mark-6 includes prediction of monsoon, cyclone track, and weather. The objective is to implementation of two approaches for the better performance of Mark-6. The first approach is design and implementation of an efficient algorithm for data pipelining to improve the efficiency of communication between processing elements. The second approach involves development of integrated computing environment and allowing multiple job execution. By incorporating the two methodologies ( pipelining and multitasking) a time reduction is achieved in the weather forecast computation.

Areas of application : Super computer OS and Parallel systems

Design and Establishment of Wireless Sensor Network

In a sensor Network, Data gathered by the sensor nodes is utilized by a top level application The use of these sensor networks has provided scientists and end users with the means to extract more detailed data, in terms of time and space, from field studies. Traditional efforts at monitoring environmental parameters such as soil moisture, temperature and humidity have seen remote sensing (from aircraft satellites0and personnel using hand-held instrumentation as the main methods of data collecting. Deploying a WSN to replace these methods will improve current data acquisition techniques by providing considerably more localized measurements, thus overcoming the limitations in scope, detail and frequency of monitoring with previous sensing technologies. This will also reduce the monetary and ecological cost of personnel in monitoring areas.

Areas of application : Sensor Network

Centre for Advanced computing Research and Education (CARE)

The centre was formed with the main objectives

• To provide intelligent solutions for computational/data intensive applications in the distributed environment.
• To develop skilled human resources in the area of High Performance computing

The technology focus is to add values to the existing grid architecture by contributing some more features to it. The support of virtualization for grid environment, by developing a dynamic grid framework, support for workflow, additional security mechanisms and tools for data and computational grids are the key areas of concentration. Realization of SLA which will be the significant component that can help the commercial realization of grids, semantic support for resource discovery and management are some other aspects that are also developed.

Areas of application : e-science applications (health and medicine, genomics, chemistry, material science)

Name and highest qualification	Designation	Expertise
Dr.S.Thamarai Selvi Ph.D	Professor & Head	Neural network & Grid computing
Dr.P.Anandha Kumar Ph.D	Assistant Professor	Multimedia Soft computing, Image Processing
Dr.D.Sridharan	Assistant Professor	Computer Networks and Real Time Systems
Ms.P.Jayashree M.E	SG .Lecturer	Network Security, Object Technology
Mr.R.Muthuraj M.E	Lecturer	Web Technology Computer Networks
Mr.Dhananjaykumar M.Tech	Lecturer	DSP Mobile Computing
Ms.C.Valliyammai M.Tech	Lecturer	Object oriented Analysis and Designs Network Management
Mrs.Radha Senthil kumar M.E	Lecturer	Query Optimization in Structured XML Document
Ms.P.Kola Sujatha M.E	Lecturer	Data Base Management Systems
Mr.K.Raja Ph.D	Lecturer	Knowledge Based Systems
Ms.M.R.Sumalatha M.E	Lecturer	DBMS Distributed Computing Web Services
Ms.R.K.Ponsy Sathiyabama M.E	Lecturer	Architecture Grid Computing
Ms.P.Varalakshmi M.Tech	Lecturer	Grid Computing Compiler Design
Mr.R.Gunasekaran M.E	Lecturer	Mobile and Ad Hoc Networks
Mr.R. Sivakumar M.Tech	Lecturer	Object Oriented Systems
Mr.Vijaya Kumar G Dhas M.E	Visiting Faculty	Network – load balancing
Ms.Mangalam Ravi M.E	Visiting Faculty	Networks Communication
Ms.V.Berlin Hency M.E	Visiting Faculty	VoIP and Wireless Communication
Mr.C.Sunil Retmin Raj M.E	Visiting Faculty	Medical Image Denoising (Image Processing)
Mr.B.Siva Selvan M.Tech	Visiting Faculty	Data Mining
Mr.G.Rajesh M.E	Visiting Faculty	Networks and Image Process
Ms.K.Suganthi M.E	Visiting Faculty	Web Services, Real Time systems

Project Title Amount	Agency
Development of Front End Tools for Semantic Grid Services	CDAC
Development of Trust Components for Secured Commercial Grid Services	DIT-MCIT
Missile Defense and Interceptor Allocation Using Neural Network Approach	DRDO
Development of Knowledge Based Wind Tunnel Test Data Management System	DRDO
Design and Development of Caching System based on Client Web Trace Characterization	DST
Design and development of Enhanced OS for a Flosolver series of Parallel Processor having Floswitch	CSIR
Design and Establishment of Wireless Sensor Network	MAE
Centre for Advanced Computing Research and Education(CARE)	DIT-MCIT