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223 results for “performance prediction”
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Research ArticleOpen accessIn the abstractCOMBINING LONG MEMORY AND NONLINEAR MODEL OUTPUTS FOR INFLATION FORECASTHeri Kuswanto, Irhamah, Laylia AfidahLong memory and nonlinearity have been proven as two models that are easily to be mistaken. In other words, nonlinearity is a strong candidate of spurious long memory by introducing a certain degree of fractional integration that lies in the region of long memory. Indeed, nonlinear process belongs to short memory with zero integration order. The idea of the forecast … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 7 Jul 2014 · 6,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractILLUMINANCE EVALUATION AND ASSESSMENT AT THREE ELEMENTARY SCHOOLSAhmed Cherif Megri, Yao Yu, Akeel Sobers, Alyssa CooperA simplified model for illuminance prediction has been developed to estimate the indoor level of lighting under artificial lighting. As well, illuminance in several locations of three schools has been measured under several conditions: Blinds up/lights on, blinds up/lights off, blinds down/lights on, blinds down/lights off. The experimental data of the case &#34blinds down/lights on&#34 has been compared to the … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 27 Mar 2014 · 7,855 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Distributed Bioinformatics Computing System for DNA Sequence Analysis on Encoding SystemMohammad Ibrahim Khan, Chotan SheelThis study provides an effective design of search technique of a distributed bioinformatics computing system for analysis of DNA sequences using OPTSDNA algorithm. This system could be used for disease detection, criminal forensic analysis, gene prediction, genetic system and protein analysis. Different types of distributed algorithms for the search and identification for DNA segments and repeat pattern in a given … …Current Research in Bioinformatics, Vol. 2, Issue 2 · 20 Dec 2013 · 6,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID INTELLIGENT MODEL FOR SOFTWARE COST ESTIMATIONWei Lin Du, Luiz Fernando Capretz, Ali Bou Nassif, Danny HoAccurate software development effort estimation is critical to the success of software projects. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characteristics. In this study, a hybrid intelligent model combining … …Journal of Computer Science, Vol. 9, Issue 11 · 28 Sep 2013 · 7,745 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation of Thermal Characteristics of a Sintered-Wick Heat Pipe with Double Heat SourcesNattawut Tharawadee, Pradit Terdtoon, Niti Kammuang-lueHeat pipes have been used extensively in the electronic industry for decades especially in laptop computers. For cost-effectiveness, a single heat pipe is designed to simultaneously transfer heat from both the Central Processing Unit (CPU) and the Graphics Processing Unit (GPU) inside the main board to the heat sink. This causes the efficiency of the heat pipe to change without … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Souple Wireless Grid Applications for Horde of Jobs by Sensible Centrality Scheduling with RediteP. Vijaya Karthick, V. VasudevanThe Grid Computing has emerged as a thorny platform to tackle numerous large-scale issues, particularly in science and engineering domains. One of the primary issues related to the economical and effective utilization of heterogeneous resources in a Grid scheduling. It is mainly due to the dynamic nature of grid. Grid scheduling could be subtle higher cognitive process that operates at … …Journal of Computer Science, Vol. 9, Issue 5 · 28 May 2013 · 6,730 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 abstractDesign and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate ArraysMd. Syedul Amin, Md. Mamun, Fazida Hanim Hashim et al.Problem statement: Multiagent system is very proficient and has rules well-suited for financial forecast with its neural network. In financial forecasting, the approach for rules extractions is less pertinent and involves algorithms which are complex. The unsupervised network method lacks in comprehensibility and leads to ambiguity. Approach: The application of neural network technology to real-time processing of financial market analysis … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 12 Sep 2011 · 7,627 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Leakage Current to Predict Insulator Flashover Using Artificial Neural NetworkN. Narmadhai, A. Ebenezer JeyakumarProblem statement: The phenomenon of flashover in polluted insulators has been continued by the study of the characteristics of contaminating layers deposited on the surface of insulators in high voltage laboratories. In the literature, Experimental investigations have been carried out on a real insulator or a flat plate model of insulators under high voltage application. This study proposed the Equivalent … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,618 accessesView PDFCite
Research ArticleOpen accessIn the abstractLinear Genetic Programming for Prediction of Nickel Recovery from Spent Nickel CatalystMona E. Ossman, Walaa Sheta, Y. EltaweelProblem statement: In this study Linear Genetic Programming (LGP) and statistical regression are used in predicting Current Efficiency (CE) of Electro deposition cell used for recovery of nickel from spent nickel catalyst. Approach: The Nickel electro deposition from spent catalyst leachate solutions was studied to determine the effect of the operative conditions such as nickel concentration, temperature, current density and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,345 accessesView PDFCite