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95 results for “fuzzy control”
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Research ArticleOpen accessIn the abstractFuzzy Inference System Based Power Factor Correction of Three Phase Diode Rectifier Using Field Programable Gate ArraySundar Rajan Giri Thulasiraman, Christober Asir RajanThis study describes a novel method in improving the input current total harmonic distortion as well as power factor of a three-phase diode rectifier circuit. In this method, three bidirectional switches comprising MOSFET and four diodes are used across the three-phase supply and load. In a three-phase rectifier only two diodes conduct at any given time. As a result, the … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 6,877 accessesView PDFCite
Research ArticleOpen accessIn the abstractMODELING AND SIMULATION OF FUZZY BASED AUTOMATIC INSULIN DELIVERY SYSTEMSunithaKarnam Anantha, Senthil Kumar Natarajan, Subransu Sekar DashThe aim is to design a complete online, automatic, intelligent and independent insulin delivery system. The proposed system calculates the amount of insulin by formulation based upon two linguistic factors i.e. weight and blood glucose levels. These factors have been used to develop a rule based fuzzy system in LabVIEW. The fuzziness brings a better regulation into the regime than … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,623 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Neuro-Fuzzy Inference System-Particle Swarm Optimization Based Stability Maintenance of Power System NetworksR. Latha, J. KanakarajDuring faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) techniques. In … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Development of an Intelligent Control by Using Bee Colony Optimization TechniqueS. Tiacharoen, T. ChatchanayuenyongProblem statement: In the modern industrial manufacturing system, the efficiency of machine control is essential to reduce waste and increase the output. Most of the manufacturing machines employ an induction motor in their driving system. A number of induction motors must be controlled during machine operation. The more accurately these motors are controlled the higher is the quality of the … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 4 Aug 2012 · 6,806 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolving Fuzzy Neural Network for Phishing Emails DetectionAmmar ALmomani, Tat-Chee Wan, Altyeb Altaher et al.One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new … …Journal of Computer Science, Vol. 8, Issue 7 · 4 Jun 2012 · 8,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractConfidence Interval for Cpm Based on Dp,q DistanceBahram Sadeghpour Gildeh, Samaneh AsghariProblem statement: A measurement control system ensures that measuring equipment and measurement processes are fit for their intended use and its importance in achieving product quality objectives. Approach: The manufacturing industries have been making an extensive effort to implement Statistical Process Control (SPC) in their plants and supply bases. Results: Capability indices derived from SPC have received increasing usage not … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 8 Feb 2012 · 7,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Velocity Biased-Ad Hoc on Demand Distance Vector to Improve Throughput in Dynamic Mobile NetworkK. Tamizarasu, M. RajaramProblem statement: With the escalating demand for mobile ad hoc network projects, major challenges to system planners and designers were addressing stability and reliability problems due to frequent change of network topology. Controlling an overhead, which means bandwidth utilization due to control packets, depends on the routing protocol, topology and data traffic. Limiting the network control overheads, of this highly … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,056 accessesView PDFCite
Research ArticleOpen accessIn the abstractSegmentation of Medical Image using Clustering and Watershed AlgorithmsM.C. Jobin Christ, R.M.S. ParvathiProblem statement: Segmentation plays an important role in medical imaging. Segmentation of an image is the division or separation of the image into dissimilar regions of similar attribute. In this study we proposed a methodology that integrates clustering algorithm and marker controlled watershed segmentation algorithm for medical image segmentation. The use of the conservative watershed algorithm for medical image analysis … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 8,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimum Setting of Controller Using Soft Computing Techniques for a Chemical SystemG. Glandevadhas, S. Pushpakumar, S.V. Muruga PrasadProblem statement: The aim of this study is to present an intelligent tuning technique for PID controller that are simple and still result in good closed loop behavior. The idea is to start with a tuned conventional PID controller, replace it with an equivalent intelligent controllers like Fuzzy, ANN, Genetic and PSO techniques implies fine tuned nonlinear PID controller which … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 6 Oct 2011 · 7,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Software Reliability Growth Models for Industrial Applications Using Fuzzy LogicSultan AljahdaliProblem statement: The utilization of Software Reliability Growth Models (SRGM) plays a major role in monitoring progress, accurately predicting the number of faults in the software during both development and testing processes; define the release date of a software product, helps in allocating resources and estimating the cost for software maintenance. This leads to achieving the required reliability level of … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,007 accessesView PDFCite