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94 articles for “Computational Models”

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Research ArticleOpen accessIn the abstractTHE USE OF DIFFERENT LEVELS OF MULTI-ROOM MODELING APPROACH-APPLICATION TO BUILDING POLLUTION TRANSPORT AND EFFICIENCY OF OFF-HOUR VENTILATIONAhmed Cherif MegriSeveral building simulation programs have been developed for design, analysis and prediction of the distribution of temperature, airflow and heat transfer between inside and outside of a building and/or between different zones of the same building. These programs are categorized as mono-zone models, multi-room models, zonal models, Computational Fluid Dynamics (CFD) models and multi-zone models. The number of computer programs … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 25 Mar 2014 · 7,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL PRESSURIZED ZONAL MODEL USING THE MOMENTUM EQUATIONYao Yu, Ahmed Cherif MegriZonal models combine the simplicity of single and multi-zone models with the comprehensiveness of Computational Fluid Dynamics (CFD) models and thus become a better substitute to predict detailed thermal and airflow behaviors in building. Based on a geometric partitioning of a room into a number of subzones, these models give more accurate and detailed results than the single or multi-zone … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 25 Mar 2014 · 8,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVING FAULT TOLERANT RESOURCE OPTIMIZED AWARE JOB SCHEDULING FOR GRID COMPUTINGK. Nirmala Devi, A. TamilarasiWorkflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes inefficient schedules of application distributed resources and it also worsens the utilization of various resources including network bandwidth and computational cycles. Furthermore considering the literature, all of these existing brokering systems primarily evolved around models of centralized hierarchical or client/server. In such models, vital responsibility such … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 6,904 accessesView PDFCite
Research ArticleOpen accessIn the abstractSteel Plates Faults Diagnosis with Data Mining ModelsMahmoud Fakhr, Alaa M. ElsayadProblem statement: Over the last two decades, Fault Diagnosis (FD) has a major importance to enhance the quality of manufacturing and to lessen the cost of product testing. Actually, quick and correct FD system helps to keep away from product quality problems and facilitates precautionary maintenance. FD may be considered as a pattern recognition problem. It has been gaining more … …Journal of Computer Science, Vol. 8, Issue 4 · 31 Jan 2012 · 11,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling Heterogeneity in Phase II Clinical TrialsChristopher N. Barnes, Shesh N. RaiProblem statement: The common assumption in non-randomized Phase II clinical trials is a homogeneous population with homogeneous response. This assumption is at odds with many trials today; a heterogeneous response due to the existence of subgroups. Approach: In order to examine the effects of heterogeneity on the trial outcome, a systematic platform is developed to quantify the range and classes … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 10,131 accessesView PDFCite
Research ArticleOpen accessIn the abstractColor Image Reconstruction Using A New R'G'I ModelAkram A. Moustafa, Ziad A. AlqadiProblem statement: A new color model for digital image was discussed; this model can be used to separate low and high frequencies in the image without loosing any information from the image. Approach: A comparative study between different color models (RGB, HSI) applied to a very large microscopic image analysis and the proposed model was presented. Such analysis of different … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,493 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Probabilistic Motif Discovery in Unaligned Biological SequencesM. Hemalatha, K. VivekanandanFinding motif in biosequences is the most important primitive operation in computational biology. There are many computational requirements for a motif discovery algorithm such as computer memory space requirement and computational complexity. To overcome the complexity of motif discovery, we propose an alternative solution integrating genetic algorithm and Fuzzy Art machine learning approaches for eliminating multiple sequence alignment process. Problem … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,730 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Analysis of Pulsatile Blood Flow in a Stented Human Coronary Artery with a Flow DividerVahab Dehlaghi, Mohammad Tafazoli Shadpoor, Siamak NajarianShear stress is known to play a central role in restenosis formation and is sensitive to stent geometry. Local flow alterations created by a different stents without and with flow divider were studied to compare the hemodynamic effects of Stent design properties on restenosis in stented human coronary artery. Blood pressure and shear stress values were computed in three different … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 6,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractNelder-Mead Method with Local Selection Using Neighborhood and Memory for Stochastic OptimizationNoocharin Tippayawannakorn, Juta PichitlamkenWe consider the Nelder-Mead (NM) simplex algorithm for optimization of discrete-event stochastic simulation models. We propose new modifications of NM to reduce computational time and to improve quality of the estimated optimal solutions. Our means include utilizing past information of already seen solutions, expanding search space to their neighborhood and using adaptive sample sizes. We compare performance of these extensions … …Journal of Computer Science, Vol. 9, Issue 4 · 10 May 2013 · 6,126 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Capacitated Vehicle Routing Problem by Nested Particle Swarm OptimizationKaruppusamy Kanthavel, Paruchuri PrasadProblem statement: Vehicle routing problem determines the optimum route for each vehicle as a sequence of visiting cities. The problem has been defined as NP-hard and exact solution is relatively difficult to achieve for real time large scale models. Though several attempts to solve the problem were made in the literature, new approaches may be tried to solve the problem … …American Journal of Applied Sciences, Vol. 8, Issue 2 · 28 Feb 2011 · 7,987 accessesView PDFCite