9 results for “S. Karunakaran”

Research ArticleOpen accessIn the author namesVLSI Implementation of FIR Filter Using Computational Sharing Multiplier Based on High Speed Carry Select AdderS. Karunakaran, N. KasthuriRecent advances in mobile computing and multimedia applications demand high-performance and low-power VLSI Digital Signal Processing (DSP) systems. One of the most widely used operations in DSP is Finite-Impulse Response (FIR) filtering. In the existing method FIR filter is designed using array multiplier, which is having higher delay and power dissipation. The proposed method presents a programmable digital Finite Impulse … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 5 Jan 2013 · 7,187 accessesView PDF Cite

Research ArticleOpen accessIn the author namesWeb Document Segmentation Using Frequent Term Sets for SummarizationChitra Pasupathi, Baskaran Ramachandran, Sarukesi KarunakaranQuery sensitive summarization aims at extracting the query relevant contents from web documents. Web page segmentation focuses on reducing the run time overhead of the summarization systems by grouping the related contents of a web page into segments. At query time, query relevant segments of the web page are identified and important sentences from these segments are extracted to compose … …Journal of Computer Science, Vol. 8, Issue 12 · 19 Dec 2012 · 6,675 accessesView PDF Cite

Research ArticleOpen accessIn the author namesOptimization Techniques To Record DeduplicationDeepa Karunakaran, Rangarajan RangaswamyDuplicate record detection is important for data preprocessing and cleaning. Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. Our approach to duplicate detection is the use of ABC algorithm for generating the optimal similarity measure to decide whether the data is duplicate or not. In … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 7,744 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDeduction of Oral Cancer Using Fuzzy Linear RegressionS. Arulchinnappan, K. Karunakaran, G. RajendranProblem statement: To examine the risk factors of oral cancer at the earlier stage. Smoking, chewing, and drinking are the major risk factors which cause oral cancer considered as input variables. Approach: A case – control study was conducted at JKK Nataraj Dental College and Hospital, during the period from September 2007 to November 2009, in Namakkal District, Tamilnadu, India. … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,857 accessesView PDF Cite

Research ArticleOpen accessIn the author namesTopology Control Using Efficient Power ManagementS. Karunakaran, P. ThangarajProblem statement: Effective Topology control will improve the performance and the capacity of Mobile Ad-hoc networks by building reliable network structure. Approach: Power level is used as the basis for topology control since it reduces spatial interference while increasing the effective channel capacity and network lifetime. Results: In this study, we design a topology control using efficient power management algorithm … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,718 accessesView PDF Cite