Search results for "Quadrat"

showing 10 items of 344 documents

<title>Expanding context against weighted voting of classifiers</title>

2000

In the paper we propose a new method to integrate the predictions of multiple classifiers for Data Mining and Machine Learning tasks. The method assumes that each classifier stands in it's own context, and the contexts are partially ordered. The order is defined by monotonous quality function that maps each context to the value from the interval [0,1]. The classifier that has the context with better quality is supposed to predict better than the classifier from worse quality. The objective is to generate the opinion of `virtual' classifier that stands in the context with quality equal to 1. This virtual classifier must have the best accuracy of predictions due to the best context. To do thi…

business.industryComputer sciencemedia_common.quotation_subjectWeighted votingFeature selectionQuadratic classifiercomputer.software_genreMachine learningInformation extractionComputingMethodologies_PATTERNRECOGNITIONKnowledge extractionVotingMargin classifierArtificial intelligencebusinesscomputerClassifier (UML)media_commonSPIE Proceedings
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Quality based classification of gasoline samples by ATR-FTIR spectrometry using spectral feature selection with quadratic discriminant analysis

2013

Abstract A chemometric approach has been developed for characterization of gasoline samples regarding their quality. Attenuated total reflectance – infrared spectrometric data were processed by genetic algorithm (GA) and successive projection algorithm (SPA) feature selection techniques, being employed as an initial step prior to apply a discriminative tool. It was aimed to classify the fuel samples according to their quality passed/failed data. Chemometric predictive procedures were developed using quadratic discriminant analysis (QDA) combined with GA and SPA as a feature subset and feature selection strategy. Results showed 93.3% and 95.6% accuracy for SPA-QDA and GA-QDA models respectiv…

business.industryGeneral Chemical EngineeringOrganic ChemistryAnalytical chemistryEnergy Engineering and Power TechnologyPattern recognitionFeature selectionQuadratic classifierMass spectrometryFuel TechnologyDiscriminative modelFeature (computer vision)Genetic algorithmArtificial intelligenceGasolinebusinessDykstra's projection algorithmMathematicsFuel
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Points massiques, courbes de Bézier quadratiques et coniques : un état de l'art

2014

It is well known quadratic Bézier curves define conics. The use of massic points permits to define a semi-conic in the Euclidean plane. Moreover, from a given quadratic Bézier curve, we can determine the properties of the underlying conic. Moreover, the choice of an adequat non-degenerate indefinite quadratic form permits to see the non-degenerate central conic as an unitary circle.

coniques[MATH] Mathematics [math][MATH.MATH-MG] Mathematics [math]/Metric Geometry [math.MG]Points massiques[MATH]Mathematics [math]courbes de Bézier rationnelles quadratiques[MATH.MATH-MG]Mathematics [math]/Metric Geometry [math.MG]
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Lower bound limit analysis by bem: Convex optimization problem and incremental approach

2013

Abstract The lower bound limit approach of the classical plasticity theory is rephrased using the Multidomain Symmetric Galerkin Boundary Element Method, under conditions of plane and initial strains, ideal plasticity and associated flow rule. The new formulation couples a multidomain procedure with nonlinear programming techniques and defines the self-equilibrium stress field by an equation involving all the substructures (bem-elements) of the discretized system. The analysis is performed in a canonical form as a convex optimization problem with quadratic constraints, in terms of discrete variables, and implemented using the Karnak.sGbem code coupled with the optimization toolbox by MatLab…

convex optimizationelastoplasticityApplied MathematicsMathematical analysisGeneral EngineeringSGBEMUpper and lower boundsself-equilibrium streNonlinear programmingComputational MathematicsQuadratic equationLimit analysisConvex optimizationCanonical formSettore ICAR/08 - Scienza Delle CostruzioniGalerkin methodBoundary element methodAnalysislower bound limit analysiMathematicsEngineering Analysis with Boundary Elements
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Quadratic least-squares formulation for a local active noise control with stochastic domain and noise source

2012

A local active noise control method that uses stochastic numerical acoustical modeling is introduced. The frequency domain acoustical simulations are performed by a sequence solutions to Helmholtz equations approximated by FEM. The proposed ANC method maps microphone measurements linearly to the output signals of antinoise actuators. The matrix defining the linear mapping is optimized for each frequency to minimize expected value of the noise. The paper concentrates on defining the quadratic least-squares optimization problem for the minimization of the sound pressure field in the silet region. The formulation leads to a robust and accurate noise control in stochastic domains that has a sto…

elementtimenetelmäquadratic optimizationHelmholtz equationpassenger carlocal sound controlstochastic domain
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Electromagnetic wave propagation in non-homogeneous waveguides

2015

We investigate an electromagnetic waveguide, having several cylindrical ends. The waveguide is assumed to be empty and to have a perfectly conductive boundary. We study the electromagnetic field, excited in the waveguide in the presence of charges and currents. The field can be described as a solution of the stationary Maxwell system with conductive boundary conditions and “intrinsic” radiation conditions at infinity. We prove the problem to be well-posed. Electromagnetic waves propagation in the waveguide can be described by means of a scattering matrix. We introduce such a matrix for all values of the spectral parameter k in the waveguide continuous spectrum and study its properties. Moreove…

elliptiset raja-arvo-ongelmatosittaisdifferentiaaliyhtälötnumeeriset menetelmätsähkömagneettiset kentätmatriisilaskentathresholdsPhysics::Opticsexponential convergence ratewaveguidesintrinsic radiation conditionsstable basislimits of the scattering matrix at thresholdssirontamatriisitsähkömagneettinen säteilyelliptic extensionMaxwellin yhtälötthe stationary Maxwell systemradiation principlesirontamethod for approximating the scattering matrixaaltojohtimetminimizer of a quadratic functionalextended scattering matrixscattering matrix
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A Survey of Some Arithmetic Applications of Ergodic Theory in Negative Curvature

2017

This paper is a survey of some arithmetic applications of techniques in the geometry and ergodic theory of negatively curved Riemannian manifolds, focusing on the joint works of the authors. We describe Diophantine approximation results of real numbers by quadratic irrational ones, and we discuss various results on the equidistribution in \(\mathbb{R}\), \(\mathbb{C}\) and in the Heisenberg groups of arithmetically defined points. We explain how these results are consequences of equidistribution and counting properties of common perpendiculars between locally convex subsets in negatively curved orbifolds, proven using dynamical and ergodic properties of their geodesic flows. This exposition…

ergodic theoryMathematics::Dynamical SystemsGeodesicHyperbolic geometry010102 general mathematics05 social sciencesDiophantine approximation01 natural sciencesarithmetic applicationsBianchi group0502 economics and businessHeisenberg groupBinary quadratic formErgodic theorygeometria0101 mathematicsArithmetic050203 business & managementReal numberMathematics
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An optimal local active noise control method based on stochastic finite element models

2013

A new method is presented to obtain a local active noise control that is optimal in stochastic environment. The method uses numerical acoustical modeling that is performed in the frequency domain by using a sequence of finite element discretizations of the Helmholtz equation. The stochasticity of domain geometry and primary noise source is considered. Reference signals from an array of microphones are mapped to secondary loudspeakers, by an off-line optimized linear mapping. The frequency dependent linear mapping is optimized to minimize the expected value of error in a quiet zone, which is approximated by the numerical model and can be interpreted as a stochastic virtual microphone. A leas…

finite element methodmelunvaimennusQuadratic optimizationHelmholtz equationpassenger caractive noise controlmeluntorjuntastochastic domainHelmholtzin yhtälö
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On FE-grid relocation in solving unilateral boundary value problems by FEM

1992

We consider FE-grid optimization in elliptic unilateral boundary value problems. The criterion used in grid optimization is the total potential energy of the system. It is shown that minimization of this cost functional means a decrease of the discretization error or a better approximation of the unilateral boundary conditions, Design sensitivity analysis is given with respect to the movement of nodal points. Numerical results for the Dirichlet-Signorini problem for the Laplace equation and the plane elasticity problem with unilateral boundary conditions are given. In plane elasticity we consider problems with and without friction. peerReviewed

finite element methods [keyword]msc:65N50numerical examples [keyword]FE-grid relocation [keyword]msc:65N30nonlinear optimization [keyword]msc:35J05sequential quadratic programming code [keyword]unilateral boundary value problem [keyword]Poisson equation [keyword]grid relocation [keyword]
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Invasion ecology of the alien tussock grassNardus stricta(Poaceae) at Lake Pukaki, Canterbury, New Zealand

2005

Abstract The European matgrass Nardus stricta has naturalised in New Zealand, often on damp soils within wetlands and grasslands. In this paper, we present for the first time field data on the ecology of this alien invader in New Zealand, from eight kettle‐hole wetlands on lateral moraine along the western side of Lake Pukaki, South Canterbury. The invaded wetland sites were all acidic but varied in other soil characteristics. Nardus stricta was the most dominant species within these wetland communities with 40% of all plots showing more than 50% coverage, and 21% having more than 90% cover. Species richness (including vascular plants and mosses) at some sites was relatively high (c. 40 spe…

geographygeography.geographical_feature_categoryEcologyTussockSpecies diversityWetlandPlant ScienceBiologyInvasive speciesAbundance (ecology)BotanyPoaceaeSpecies richnessQuadratEcology Evolution Behavior and SystematicsNew Zealand Journal of Botany
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