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Articles by K.L. Shunmuganathan
Total Records ( 3 ) for K.L. Shunmuganathan
  K.L. Shunmuganathan and V. Vasudevan
  We propose an appearance-based facial recognition system based on multi-agents. By this method a person can be identified and verified using his face. Each RETSINA agent performs the facial recognition with its own small training sets and its stops other agents when it finds a match by communicating through ACL. Experimental results suggest that the proposed multi-agent based Facial recognition method provides a better recognition rate and achieves less time complexity. The worst case analysis shows proposed multi-agent based facial recognition is 80% better than ordinary facial recognition.
  K.L. Shunmuganathan , V.V. Asudevan and P. Yogesh
  Road traffic is very much affected by time based traffic light controllers. When waiting for a traffic light, the driver looses time and the vehicle uses fuel. Hence, reducing waiting times before traffic lights can save billions of dollars annually. Agent is a concept derived from Artificial intelligence. Agent is a computer system capable of autonomous action in some environment. In certain applications like web browsing, single agent canít do a task. In such situations we go for multiple agents. For many computer environments, witness the Internet, Social ability in agents is the ability to interact with other agents through Agent Communication Language (ACL). In this study, a multi-agent based traffic light controller system is simulated and its efficiency is tested against ordinary time based traffic controller system and human traffic controlling system.
  K.L. Shunmuganathan , K.V. Deeba and K. Deepika
  Peer-to-peer networks continue to grow in popularity. However network resource discovery still remains a substantial problem within them. In this paper we will cover some of the more popular current solutions to this problem. We will then propose a JADE Mobile Agent based solution to allow for dynamic network resource discovery.
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