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90 results for “Computational Development”
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Research ArticleOpen accessIn the abstractSmooth Formant Peak Via Discrete Tchebichef TransformNur Azman Abu, Ferda Ernawan, Fadzilah SalimWith the growth in computing power, speech recognition carries a strong potential in the near future. It has even become increasingly popular with the development of mobile devices. Presumably, mobile devices have limited computational power, memory size and battery life. In general, speech recognition operation requires heavy computation due to large samples per window used. Fast Fourier Transfom (FFT) is … …Journal of Computer Science, Vol. 11, Issue 2 · 10 Sep 2014 · 7,187 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL APPROACH FOR INFORMATION SECURITY IN AD HOC NETWORKS THROUGH SECURE KEY MANAGEMENTS. Suma Christal Mary, M. PallikondaRajasekaran, Y. ChrisbinJeevaAd hoc networks provide flexible and adaptive networks with no fixed infrastructure and dynamic topology. Owe to the vulnerability nature of ad hoc network, there are lots of security threats that diminish the development of ad hoc networks. Therefore, to provide security for information of users and to preserve their privacy, it becomes mandatory to use cryptographic techniques to set … …Journal of Computer Science, Vol. 9, Issue 11 · 2 Oct 2013 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure high accuracy in classification using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: (a) The computational burden and … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractCancer Classification using Support Vector Machines and Relevance Vector Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The objective of this study is, to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: The computational burden and noise arising from irrelevant genes are much reduced; the cost for cancer testing … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,593 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Discrete Event Simulation Framework for Utility Accrual Scheduling Algorithm in Uniprocessor EnvironmentIdawaty Ahmad, Shamala Subramaniam, Mohamed Othman, Zuriati ZulkarnainProblem statement: The heterogeneity in the choice of simulation platforms for real time scheduling stands behind the difficulty of developing a common simulation environment. A Discrete Event Simulation (DES) for a real time scheduling domain encompassing event definition, time advancing mechanism and scheduler has yet to be developed. Approach: The study focused on the proposed and the development of an … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 7,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Proportional Integral Controller Design for Induction MotorMohanasundaram Kuppusamy, Rajasekar NatarajanProblem statement: This study has expounded the application of evolutionary computation method namely Genetic Algorithm (GA) for estimation of feedback controller parameters for induction motor. GA offers certain advantages such as simple computational steps, derivative free optimization, reduced number of iterations and assured near global optima. The development of the method is well documented and computed and measured results are … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Zero-Stable Optimal Order Method for Direct Solution of Second Order Differential EquationsKayode Sunday JacobProblem statement: In this study, a numerical method for direct solution of general second order differential equations was considered in order to circumvent the problems of computational burden and computer time wastage associated with method of reduction to system of first order equations. The issue of zero stability of higher order methods is considered in the development of the method. … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractLower-Dimensional Feature Sets for Template-Based Motion Recognition ApproachesMd. Atiqur Rahman Ahad, J. Tan, H. Kim, S. IshikawaProblem statement: In template-based motion recognition approaches, feature sets are computed from the template for classification. Hu invariants are widely employed for this purpose since its inception. However, development of lower-dimensional feature vector sets is required for faster computation along with robust recognition. The concept of reduced size of Hu moment is really interesting. From its inception, seven higher orders … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network Based Accurate Biometric Recognition and Identification of Human Iris PatternsM. Gopikrishnan, T. SanthanamProblem statement: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Approach: Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. However, published … …Journal of Computer Science, Vol. 6, Issue 10 · 10 Aug 2010 · 7,155 accessesView PDFCite