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49 articles for “Algorithm Modification”
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Research ArticleOpen accessIn the abstractPerformance of Unequal Error Protection Using Maximum A- posteriori Probability Algorithm and Modified MAP in Additive White Gaussian Noise and Fading ChannelT. Gnanasekaran, K. DuraiswamyProblem statement: In this study we propose a method to improve the performance of Maximum A-Posteriori Probability Algorithm, which is used in turbo decoder. Previously the performance of turbo decoder is improved by means of scaling the channel reliability value. Approach: A modification in MAP algorithm proposed in this study, which achieves further improvement in forward error correction by means … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Graph Coloring AlgorithmsHussein Al-Omari, Khair E. SabriTwo new heuristic graph-coloring algorithms, based on known heuristic algorithms, have been introduced. One of them is a modification of the Largest Degree Ordering (LDO) algorithm, and the other one is a modification of the Saturation Degree Ordering (SDO) algorithm. The two new algorithms proposed in this paper, were compared empirically, in terms of used colors, with some of the … …Journal of Mathematics and Statistics, Vol. 2, Issue 4 · 31 Dec 2007 · 7,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractLizard Learning Algorithm for Invariant Pattern RecognitionG. M. Rao, G. R. Babu, G. V. KumariResearches are keen to know astonishing and intricate details of the nature. Each creature has its own admiring abilities and performs their routine task in more efficient manner. The bug navigation system has drawn keen attention among research community to know how they are able to perform their routine task in utmost skillful manner. The lizard is capable of identifying … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,489 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevention of Spoofing Attacks in the Infrastructure Wireless NetworksWesam S. Bhaya, Samraa A. AlAsadyProblem statement: Spoofing Attack is one of the vulnerabilities in the wireless networks, which is a situation in which the intruder successfully masquerades as legal one. Spoofing Attacks will decrease the performance of the network and violate many security issues. In the networks that use MAC address based filtering approach to authenticate the clients, the spoofer just needs to get … …Journal of Computer Science, Vol. 8, Issue 10 · 4 Sep 2012 · 7,838 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 · 7,052 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of a Merged DSP Microcontroller for Embedded Systems using Discrete Orthogonal TransformA. K. Rath, P. K. MeherIn this paper we have proposed the design of a DSP microcontroller where the processor load is significantly reduced by relegating the math-intensive DSP algorithm to dedicated transform computing modules. It is shown that the use of such transform modules will facilitate scalability, reusability and flexibility for implementation of wide varieties of DSP functionalities. Moreover, it would be possible to … …Journal of Computer Science, Vol. 2, Issue 5 · 31 Aug 2006 · 6,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractA BIO-SURVEILLANCE SYSTEM USING EFFICIENT ALGORITHM FOR INFORMATION SHARING APPLICATIONSShobhanjaly P. Nair, K. Silambarasan, N. Bindhu, R. SrinivasanBio-Surveillance represents a health information system for public that stores and integrates health related information and data across a variety of data. Bio-surveillance strategies are projected for detection of disease outbreaks from existing diagnostic data, but their performance is typically not understandable. The focus of the paper is to develop a bio-surveillance system which can serve the aim of biosurveillance … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 7,038 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Algorithm Based Multi Objective Service Restoration in Distribution SystemsSathish Kumar Kannaiah, Jayabarathi Thangavel, D. P. KothariProblem statement: A Genetic Algorithm (GA) used here to find exact or approximate solutions to optimization and search problems. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection and crossover. Approach: GA is a method for search and optimization based on the process of natural selection and evolution. … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of a New Network-enabled Solver for the Assignment Problem in Computer-aided EducationAndreou Dimitrios, Paparrizos Konstantinos, Samaras Nikolaos, Sifaleras AngeloThis study present a new learning tool developed for the visualization of an algorithm for the assignment problem. We show how the teaching of an algorithm can be greatly enhanced and the tutor's effort decreased with a visualization tool that provides an interactive and animated view of the subject being taught to the students. This tool makes use of the … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,817 accessesView PDFCite
Research ArticleOpen accessIn the abstractPARALLEL IMPLEMENTATION OF EXPECTATION-MAXIMISATION ALGORITHM FOR THE TRAINING OF GAUSSIAN MIXTURE MODELSG. F. Araújo, H. T. Macedo, M. T. Chella et al.Most machine learning algorithms need to handle large data sets. This feature often leads to limitations on processing time and memory. The Expectation-Maximization (EM) is one of such algorithms, which is used to train one of the most commonly used parametric statistical models, the Gaussian Mixture Models (GMM). All steps of the algorithm are potentially parallelizable once they iterate over … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,937 accessesView PDFCite