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29 results for “optimal knowledge”
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Research ArticleOpen accessIn the abstractINJECT AN ELASTIC GRID COMPUTING TECHNIQUES TO OPTIMAL RESOURCE MANAGEMENT TECHNIQUE OPERATIONSR. Surendran, B. Parvatha VarthiniEvaluation of sharing on the Internet well- developed from energetic technique of grid computing. Dynamic Grid Computing is Resource sharing in large level high performance computing networks at worldwide. Existing systems have a Limited innovation for resource management process. In proposed work, Grid Computing is an Internet based computing for Optimal Resource Management Technique Operations (ORMTO). ORMTO are Elastic scheduling … …Journal of Computer Science, Vol. 9, Issue 8 · 9 Jul 2013 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Rotor Capacitive Reactance Control for Energy Efficient Wound Rotor Induction MotorK. Ranjith Kumar, S. Palaniswami, K. Siva KumarProblem statement: The Rotor reactance control by inclusion of external capacitance in the rotor circuit has been in recent research for improving the performances of Wound Rotor Induction Motor (WRIM). The rotor capacitive reactance is adjusted such that for any desired load torque the efficiency of the WRIM is maximized. The rotor external capacitance can be controlled using a dynamic … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 7,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractModerators of the Effectiveness of Adult Learning Method PracticesCarl J. Dunst, Carol M. TrivetteProblem statement: The purpose of the analyses reported in this study was to identify the moderators of the effectiveness of evidence-based adult learning method practices. Approach: The particular practices that were found most effective in 58 randomized controlled design studies of four adult learning methods were examined to identify the conditions under which learner outcomes were optimized. Results: Thirteen different … …Journal of Social Sciences, Vol. 8, Issue 2 · 18 Feb 2012 · 11,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractImbedding the Multiplier in a Discretized Optimal Control Problem With Real Coefficients Via the Penalty and Multiplier MethodsO. OlotuProblem statement: Many earlier schemes, particularly the Function Space Algorithm (FSA) which sidetracks the knowledge of operator, for solving quadratic optimal control problems have been computationally involving and iteratively high. Approach: Though, some of these earlier schemes developed operators consisting of complicated integrals still very difficult to evaluate. Here, objectively, a new scheme, Discretized Continuous Algorithm (DCA), is proposed with … …Journal of Mathematics and Statistics, Vol. 6, Issue 1 · 31 Mar 2010 · 7,041 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of the Agricultural Water Management Mechanisms in Zarindasht County, Fars Province, IranAli Asadi, Yaser Mohammadi, Hossein Shabanali FamiProblem statement: Both sequential droughts and lack of water optimal consumption in Zarindasht county, have created scarcity problem that caused agricultural yield’s loss in this county. So according to lack of optimal consumption of agricultural water in this county, the main purpose of this study was to investigate agricultural water management mechanisms in three fields of irrigation sources, water transfer … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 2 · 30 Jun 2009 · 7,958 accessesView PDFCite
Research ArticleOpen accessIn the abstractLog data Approach to Acquisition of Optimal Bayesian Learner ModelChoo-Yee Ting, Somnuk Phon-AmnuaisukLog data provide valuable insight into observable behavioural patterns, which could be inferred to study a learner’s cognitive processes, levels of motivation and levels of knowledge acquisition. To date, most of the research work has been devoted to study the different methods to analyze and interpret log data. Little attention, however, has been given to use log data as a … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 7,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractInverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear DeterminismR.J. Bhansali, L. IppolitiFor a discrete-time vector linear stationary process, {X(t)}, admitting forward and backward autoregressive representations, the variance matrix of an optimal linear interpolator of X(t), based on a knowledge of {X(t-j), j≠0}, is known to be given by Ri(0)-1 where Ri(0) denotes the inverse variance of the process. Let A=Is-1Ri(0)ˉ1R(0)ˉ1, where R(0) denotes the variance matrix of {X(t)} and Is an … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtraction, Partial Identification and Bioactivities of Total Flavonoids from Carex meyeriana KunthHongbiao Wang, Penghui Wang, Xiudong Yang et al.To date, knowledge associated with extraction, chemical constituents and bioactivities of Total Flavonoids from Carex meyeriana Kunth (TFCMK) that remains unclear. Therefore, this paper was designed to optimize the ethanol reflux extraction method by response surface methodology and determine the chemical constituents by Liquid Phase-Mass Spectrometry (HPLC-MS); additionally, the bioactivities including antioxidant, antibacterial and hemolysis test were also explored. The … …American Journal of Biochemistry and Biotechnology, Vol. 15, Issue 3 · 7 Aug 2019 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,392 accessesView PDFCite