Research ArticleOpen accessIn the abstractAn Enhancement of Bayesian Inference Network for Ligand-Based Virtual Screening using Features SelectionAli Ahmed, Ammar Abdo, Naomie SalimProblem statement: Similarity based Virtual Screening (VS) deals with a large amount of data containing irrelevant and/or redundant fragments or features. Recent use of Bayesian network as an alternative for existing tools for similarity based VS has received noticeable attention of the researchers in the field of chemoinformatics. Approach: To this end, different models of Bayesian network have been developed. … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,724 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge Discovery in Biochemical Pathways Using MinepathwaysFord Lumban GaolProblem statement: The advancement of the biochemical research gives profound effect to the collection of biochemical data. Approach: In the recent years, data and networks in biochemical pathways are abundant that allow to do process mining in order to obtain useful information. By using graph theory as a tool to model these interactions, it can be formally find the solution. … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,057 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecurity Challenges in Multicast Communication for Mobile Ad Hoc NetworkS. Gunasekaran, K. DuraiswamyProblem statement: Multicasting communication network accepted a single message from an application and delivered copies of the message to multiple recipients at different locations. Recently, there has been an explosion of research literature on multicast communication environment. The objective of this study were to contribute the complexity of supporting current multicast applications, (i) the lack of reliable multicast transport mechanisms … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,126 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of String Matching Compression AlgorithmsKrishnaveny Nadarajan, Zuriati A. ZukarnainThe improvement rate in microprocessor speed by far exceeds the improvement in DRAM memory. This increasing processor-memory performance gap is the primary obstacle to improved computer system performance. As a result, the size of main memory has increased gradually. To utilize main memory’s resources effectively, data compression can be applied. Through compression, the data can be compressed by eliminating redundant … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Filtering Algorithm for Duplicate Document Based on Concept AnalysisAhmad M. HasnahData bases and web pages contain currently a huge number of duplicate document. It is then fundamental to have a filter which can be embedded, for instance, within an information retrieval system like a search engine in order to prohibit the redundant documents references to appear on the screen as a reply to the user's query. This filter can save … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,745 accessesView PDFCite
Research ArticleOpen accessIn the abstractSplitting Technique Initialization in Local PCAAlok Sharma, Kuldip K. Paliwal, Godfrey C. OnwuboluThe local Principal Component Analysis (PCA) reduces linearly redundant components that may present in higher dimensional space. It deploys an initial guess technique which can be utilized when the distribution of a given multivariate data is known to the user. The problem in initialization arises when the distribution is not known. This study explores a technique that can be easily … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractRedundancy Schemes for High Availability Computer ClustersChristian K. Bassek, Samuel Pierre, Alejandro QuinteroThe primary goal of computer clusters is to improve computing performances by taking advantage of the parallelism they intrinsically provide. Moreover, their use of redundant hardware components enables them to offer high availability services. In this paper, we present an analytical model for analyzing redundancy schemes and their impact on the cluster’s overall performance. Furthermore, several cluster redundancy techniques are … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,236 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Note towards Reshaping Java's FeaturesN. S. Kutti, Z. A. Al-Khanjari, H. A. Ramadhan, J. FiaidhiProgramming Languages continually go through the refinement process due to several findings such as lack of robustness, lack of flexibility, lack of simplicity and lack of standard. This may require pruning undesirable features, sometimes softening of hard nature of some features and adding new features to improve the scope of the languages. Recently Java has emerged as a refined language … …Journal of Computer Science, Vol. 1, Issue 4 · 30 Dec 2005 · 6,499 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN APPROACH FOR TEXT SUMMARIZATION USING DEEP LEARNING ALGORITHMG. PadmaPriya, K. DuraiswamyNow days many research is going on for text summarization. Because of increasing information in the internet, these kind of research are gaining more and more attention among the researchers. Extractive text summarization generates a brief summary by extracting proper set of sentences from a document or multiple documents by deep learning. The whole concept is to reduce or minimize … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,808 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,753 accessesView PDFCite