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120 articles for “polynomial”
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Research ArticleOpen accessIn the abstractAnt Colony Optimization for Load Management Based on Load Shifting in the Textile IndustryChaimongkon Chokpanyasuwan, Tika Bunnag, Ratthasak PrommasThe textile industry is a complicated manufacturing industry because it is a fragmented and heterogeneous sector dominated by Small and Medium Enterprises (SMEs). There are various energy-efficiency opportunities that exist in every textile plant. However, even cost-effective options often are not implemented in textile plants mostly because of limited information on how to implement energy-efficiency measures. This paper presents the … …American Journal of Applied Sciences, Vol. 12, Issue 2 · 9 Apr 2015 · 7,116 accessesView PDFCite
Research ArticleOpen accessIn the abstractRESPONSE SURFACE METHODOLOGY ANALYSIS OF POLYPHENOL RECOVERY FROM ARTICHOKE WASTEAntonio ZuorroLarge amounts of a solid waste consisting mainly of outer bracts and stems are produced from the industrial processing of artichokes. In this study, the recovery of polyphenols from the two waste components was investigated. Extraction experiments were carried outby an environmentally friendly procedure using aqueous ethanol as solvent. The total polyphenol content, expressed as mg of GAE per g … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 3 Jul 2014 · 7,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractKRETSCHMANN INVARIANT AND RELATIONS BETWEEN SPACETIME SINGULARITIES ENTROPY AND INFORMATIONIoannis Gkigkitzis, Ioannis Haranas, Omiros RagosCurvature invariants are scalar quantities constructed from tensors that represent curvature. One of the most basic polynomial curvature invariants in general relativity is the Kretschmann scalar. This study is an investigation of this curvature invariant and the connection of geometry to entropy and information of different metrics and black holes. The scalar gives the curvature of the spacetime as a … …Physics International, Vol. 5, Issue 1 · 28 Mar 2014 · 11,910 accessesView PDFCite
Research ArticleOpen accessIn the abstractPLANT RECOGNITION USING STEREO LEAF IMAGE USING GRAY-LEVEL CO-OCCURRENCE MATRIXHermawan Syahputra, Agus Harjoko, Retantyo Wardoyo, Reza PulunganAdequate knowledge, such as information about the unique characteristics of each plant, is necessary to identify plant. Researchers have made plant recognition based on leaf characteristics. The leaf image-based plant recognition in view of different angles is a new challenge. In this study, the research on the plant recognition was conducted based on leaf images resulted from 3D stereo camera. … …Journal of Computer Science, Vol. 10, Issue 4 · 24 Dec 2013 · 8,116 accessesView PDFCite
Research ArticleOpen accessIn the abstractSMOOTHING SPLINE IN SEMIPARAMETRIC ADDITIVE REGRESSION MODEL WITH BAYESIAN APPROACHRita Diana, I. Nyoman Budiantara, Purhadi, Satwiko DarmestoSemiparametric additive regression model is a combination of parametric and nonparametric regression models. The parametric components are not linear but following a polynomial pattern, while the nonparametric components are unknown pattern and assumed to be contained in the Sobolev space. The nonparametric components can be approximated by smoothing spline functions. In the development of smoothing spline, the classical statistical approach … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 12 Jun 2013 · 7,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Multiresponse Semiparametric Regression ModelSri Haryatmi, I. Nyoman Budiantara, Wahyu WibowoThe modeling between predictors and response in statistics sometimes deals with more than one response or multiresponse situation. Furthermore, it can be happen that some predictors have linear relationship with the responses and the others predictor have unknown relationship. To overcome this modeling problem we proposed multiresponse semiparametric regression model. This model has more than one response and contains both … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 20 Feb 2013 · 7,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow ForecastingMohammad Valipour, Mohammad Ebrahim Banihabib, Seyyed Mahmood Reza BehbahaniIn this study the ability of Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA) models in forecasting the monthly inflow of Dez dam reservoir located in Teleh Zang station in Dez dam upstream is estimated. ARIMA model has found a widespread application in many practical sciences. In addition, dam reservoir inflow forecasting is done by some methods such … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 30 Aug 2012 · 17,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a New Elliptic Curve Cryptosystem with Factoring ProblemE. S. Ismail, M. S. HijaziProblem statement: The security of elliptic curve cryptosystems are based on elliptic curve discrete logarithm problem (ECDLP). However, if an attacker finds a solution to ECDLP, the elliptic curve-based systems will no longer be secure. Approach: To improve this, we develop a new elliptic curve cryptosystem using one of the old/novel problem in computational number theory; factoring problem (FAC). Specifically, … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 2 Aug 2012 · 6,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of the Configuration of the Screw Fixation on the Interfragmentary StrainBoonthum WongchaiProblem statement: The interfragmentary strain (εIF) is the important parameter for femur fracture healing. The Dynamic Compression Plate (DCP) is commonly used in femur fracture. The DCP and the fractured femur are fixed by using the conventional screws. Approach: This research is proposed to investigate the effect of configuration of the screw fixation on the interfragmentary stain by using Finite … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 15 Mar 2012 · 7,031 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeatures Extraction Based on Linear Regression TechniqueKhalid W. MagldProblem statement: The matching problem of complex objects is one of the most difficult task in the pattern recognition field. These problems are made difficult by seemingly infinite varieties of shapes and classes which are used. The difficulties are related to absolute shape measurement, given the impossibility of directly mapping shapes, as such, into a feature space. Approach: In this … …Journal of Computer Science, Vol. 8, Issue 5 · 25 Feb 2012 · 7,050 accessesView PDFCite