14 results for “K. Selvi”

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Research ArticleOpen accessIn the author namesBalanced Scheduling of Independent File-Sharing Tasks in Heterogenous EnvironmentR. K. Ponsy, Sathia Bhama, S. Thamarai SelviProblem statement: To examine the strategies for scheduling of independent file-sharing tasks in a heterogeneous environment and the concept of load balancing. Approach: We propose hypergraph partitioning based strategy for the scheduling of non-critical jobs. This is done by scheduling the tasks that share tasks among them to the same processor. The tasks thus scheduled are employed to a load … …Journal of Computer Science, Vol. 7, Issue 12 · 17 Oct 2011 · 6,780 accessesView PDF Cite

Research ArticleOpen accessIn the author namesAn Efficient Age Estimation System based on Multi Linear Principal Component AnalysisV. Tamil Selvi, K. VaniProblem statement: Human age estimation is an active research topic in computer vision. A vital characteristic in establishing identity of the person is the age. Age estimation from face images continues to be an extremely challenging task compared to other cognition problems. Age is a crucial factor in ascertaining the identity of a person. Age is estimated from the human … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,483 accessesView PDF Cite

Research ArticleOpen accessIn the author namesA Hybrid Model for Load Aware Trust Management in GridK. Selvi, R. S.D. Wahida BanuProblem statement: Trust management in a distributed dynamic environment like grid has been very vital since the allocation of appropriate resources to meet user request influences the success of the system. While considering a set of resources which are loaded invariably, balancing the load also contributes for the efficient resource utilization. Approach: This study proposes a trust calculation model, which … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,536 accessesView PDF Cite

Research ArticleOpen accessIn the author namesMining Rare Itemset with Automated Support ThresholdsKanimozhi Selvi Chenniangirivalsu Sadhasivam, Tamilarasi AngamuthuProblem statement: Frequent itemset mining is an important task in data mining to discover the hidden, interesting associations between items in the database based on the user-specified support and confidence thresholds. Approach: In order to find important associations, an appropriate support threshold has to be specified. The support threshold plays a key role in deciding the interesting itemsets. The rare … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,847 accessesView PDF Cite