UCSY's Research Repository

Browsing Sixth Local Conference on Parallel and Soft Computing by Title

Browsing Sixth Local Conference on Parallel and Soft Computing by Title

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  • Traffic Light Control System using fuzzy Control Rules 
    Bo, May Myint; Htoon, Ei Chaw; Maw, Aung Htein (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Traffic congestion is a severe problem in many modern cities around the world. This system presents the simulation model of traffic light control for the four sets of traffic lights at the traffic crossing at junctions. ...
  • Training Neuarl Network with Partical Swarm Optimization 
    Moe, Khin Thant Zin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Feed-forward networks are one of the most used neural networks in various domains because of their universal approximation capability. One of the popular algorithms for training multilayer feed-forward network is ...
  • Trusted Center based Data Transfer System using RSA Digital Signature 
    War, Pan; Aye, Zin May (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents data transfer system between two users by applying a Trusted Center acts as a third party between two entities and it allows users to transfer data more reliable than other system by using its owns ...
  • Web based Multi-Agent System for Real Estate 
    Aung, Su Thandar; Sandar, Khin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    A multi-agent system is a collection of multiple intelligent agents that interact with other agents or environments to achieve its goal by communication, coordination and cooperation. The agent acts like a personal assistant ...
  • Web Document Clustering using Genetic Algorithm 
    Hein, Pyae Sandi; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering (or cluster analysis) is one of the main data analysis techniques and deals with the organization of a set of objects in a multidimensional space into cohesive groups, called clusters. Each cluster contains ...
  • XML Documents Classification using Composite SVM Kernel 
    Soe, Htet Khine (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    More and more structured or semistructured data is stored and exchange in XML format. XML mining becomes increasingly important, especially the study of classification of XML documents. As the number of XMLdocuments on the ...

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