8 results for “S. P. Karuppiah”

Research ArticleOpen accessIn the author namesAN INNOVATIVE MORPHOLOGICAL APPROACH FOR NOISE REMOVAL CUM EDGE DETECTION FOR DIGITIZED PAINTINGSS. P. Karuppiah, S. K. SrivatsaThe older paintings suffer from breaks in the substrate, the paint, or the varnish. When we digitized these paintings, they can be modified using mathematical algorithms and cracks are eliminated so as to maintain the quality. The field of computer vision is concerned with extracting features and information from images in order to make analysis of images easier, so that … …Journal of Computer Science, Vol. 10, Issue 8 · 19 Jun 2014 · 6,698 accessesView PDF Cite

Research ArticleOpen accessIn the author namesSIGNED GRAPH APPROACH IN ADAPTIVE TRANSMISSION POWER TO ENHANCE THE LIFETIME OF WIRELESS SENSOR NETWORKSA. Babu Karuppiah, S. RajaramA Wireless Sensor Network (WSN) comprises a collection of sensor nodes networked for applications like surveillance, battlefield, monitoring of habitat. Nodes in a WSN are usually highly energy-constrained and expected to operate for long periods from limited on-board energy reserves. When a node transmits data to a destination node the data is overheard by the nodes that are in the … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 13 May 2014 · 6,729 accessesView PDF Cite

Research ArticleOpen accessIn the author namesINTELLIGENT SEARCH ENGINE-BASED UNIVERSAL DESCRIPTION, DISCOVERY AND INTEGRATION FOR WEB SERVICE DISCOVERYTamilarasi Karuppiah, M. RamakrishnanWeb Services standard has been broadly acknowledged by industries and academic researches along with the progress of web technology and e-business. Increasing number of web applications have been bundled as web services that can be published, positioned and invoked across the web. The importance of the issues regarding their publication and innovation attains a maximum as web services multiply and … …Journal of Computer Science, Vol. 10, Issue 9 · 26 Apr 2014 · 6,781 accessesView PDF Cite

Research ArticleOpen accessIn the author namesAn Improved Face Recognition Technique Based on Modular LPCA ApproachMathu Soothana S. Kumar, Retna Swami, Muneeswaran KaruppiahProblem statement: A face identification algorithm based on modular localized variation by Eigen Subspace technique, also called modular localized principal component analysis, is presented in this study. Approach: The face imagery was partitioned into smaller sub-divisions from a predefined neighborhood and they were ultimately fused to acquire many sets of features. Since a few of the normal facial features of … …Journal of Computer Science, Vol. 7, Issue 12 · 22 Oct 2011 · 6,950 accessesView PDF Cite