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43 results for “inference problem”
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Research ArticleOpen accessIn the abstractA Neuro Fuzzy Technique for Process Grain Scheduling of Parallel JobsS. V. Sudha, K. ThanushkodiProblem statement: We present development of neural network based fuzzy inference system for scheduling of parallel Jobs with the help of a real life workload data. The performance evaluation of a parallel system mainly depends on how the processes are co scheduled? Various co scheduling techniques available are First Come First Served, Gang Scheduling, Flexible Co Scheduling and Agile Algorithm … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,457 accessesView PDFCite
Research ArticleOpen accessIn the abstractTakagi-Sugeno Fuzzy Gains Scheduled PI Controller for Enhancement of Power System StabilityLokman H. Hassan, M. Moghavvemi, Haider A.F. MohamedProblem statement: Power system oscillations affect system stability and may lead to failure if not properly controlled. Approach: A Takagi-Sugeno Fuzzy Gains Scheduled Proportional and Integral (FGPI) controller was proposed for a Thyristor Controlled Series Capacitor (TCSC)-based stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters on-line in different … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Diversity Analysis of the Gohilwari Breed of Indian Goat (Capra hircus) Using Microsatellite MarkersSubodh Kumar, S. P. Dixit, N. K. Verma et al.Problem statement: Gohilwari breed of goat is a multipurpose goat mainly for milk and meat purposes and best suited in its harsh climatic condition. This breed is inadequately characterized till now at DNA level. So the present study was undertaken for population genetic analysis at molecular level to exploit the breed for planning sustainable improvement, conservation and utilization, which subsequently … …American Journal of Animal and Veterinary Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Enhancement of Underwater Target Tracking by Fusing Data of Array of Global Positioning System SonobuoysAhmed El-Shafie, Abdallah Osman, Aboelmagd Noureldin, Aini HussainProblem statement: An accurate knowledge of geographic positions of sonobuoys is critical for the conduct of antisubmarine warfare operations and detected target localization. Deployed from an airborne platform or a surface vessel, arrays of sonobuoys could be used to efficiently track and localize submarines. Lastly, some sonobuoys were being equipped with GPS for improving system accuracy and potentially allowing networked … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Weighted Rank CorrelationTahani A. Maturi, Ezz H. AbdelfattahProblem Statement: There have been many cases in real life where two independent sources have ranked n objects, with the interest focused on agreement in the top rankings. Spearman's rho and Kendall's tau coefficients assigned equal weights to all rankings. As a result, the literature proposed several weighted correlation coefficients with emphasis on the top rankings, including the top-down, weighted … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 8,826 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Inferences of the Rest Lifetimes of Ball Bearings' Residual Lifetimes Based on Rayleigh Residual Type II Censored DataGhassan K. Abufoudeh, Omar M. Bdair, Raed R. Abu AwwadIn this study, we consider statistical inference problems for the residual life data that come from the Rayleigh model based on type II censored data. Maximum likelihood and Bayesian approaches are used to estimate the scale and location parameters for the Rayleigh model, the Gibbs sampling procedure is used to draw Markov Chain Monte Carlo (MCMC) samples and MCMC samples … …Journal of Mathematics and Statistics, Vol. 12, Issue 3 · 1 Aug 2016 · 7,161 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA New Self-Adaptive Neuro Fuzzy Inference System for the Removal of Non-Linear Artifacts from the Respiratory SignalA. Bhavani Sankar, D. Kumar, K. SeethalakshmiProblem statement: In this study, a new ANFIS-based adaptive filter is proposed to remove the non-linear artifacts from the respiratory signal measured using MEMS based accelerometer sensor. The data recorded from the abdomen movement includes the respiratory signal, electromyogram, 50Hz power line interference and the random electrode noise. In order to avoid convergence into local extremes, the system employs ANFIS … …Journal of Computer Science, Vol. 8, Issue 5 · 16 Feb 2012 · 6,891 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Fuzzy Based Mechanism For Allocation of Grid ResourcesM. Poonguzhali, S. ShanmugavelOne of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth) to the tasks submitted by users. In our previous work a technique to allocate resources in a grid environment using predicted data has been proposed. We propose utilization of the predicted data the resources were classified into three types; they are permanent resources, semi-permanent … …Journal of Computer Science, Vol. 9, Issue 5 · 23 May 2013 · 6,772 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCurrent Trust Inference Mechanisms in Web Based Social NetworksZeinab Dehghan, Yahya AlMurtadha, Lai Ngan Kuen, Zailan Abdul SalamProblem statement: Nowadays, web based social networks have gained a lot of attention. Over one billion users participate, communicate and share information on these networks based on trust. Approach: One important issue on online social networks is how much one person can trust another person in the network whom they are not directly connected. Scholars around the world have introduced … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 7,031 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFault Detection of Computer Communication Networks Using an Expert SystemIbrahiem M.M. El Emary, Adanan I. Al RabiaThe main objective of this study was to build an expert system for assisting the network administrator in his work of management and administration of the computer communication network. Theory of operation of the proposed expert system depends on using a time series model capable of forecasting the various performance parameters as: delay, utilization and collision frequency. When the expert … …American Journal of Applied Sciences, Vol. 2, Issue 10 · 31 Oct 2005 · 7,125 accessesView PDFCite