Search results for "Invariant"

showing 10 items of 783 documents

Convergence Analysis of Extended Kalman Filter for Sensorless Control of Induction Motor

2015

This paper deals with convergence analysis of the extended Kalman filters (EKFs) for sensorless motion control systems with induction motor (IM). An EKF is tuned according to a six-order discrete-time model of the IM, affected by system and measurement noises, obtained by applying a first-order Euler discretization to a six-order continuous-time model. Some properties of the discrete-time model have been explored. Among these properties, the observability property is relevant, which leads to conditions that can be directly linked with the working conditions of the machine. Starting from these properties, the convergence of the stochastic state estimation process, in mean square sense, has b…

observability analysiProcess (computing)Kalman filterMotion controlInvariant extended Kalman filterExtended Kalman filterSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryinduction motor (IM)Convergence (routing)sensorless controlextended Kalman filter (EKF)ObservabilityElectrical and Electronic EngineeringConvergence analysiInduction motorMathematicsIEEE Transactions on Industrial Electronics
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Image classification based on 2D feature motifs

2013

The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…

pattern discoveryContextual image classificationProbabilistic latent semantic analysisExploitComputer sciencebusiness.industryScale-invariant feature transformPattern recognitioncomputer.software_genreDigital imageComputingMethodologies_PATTERNRECOGNITIONclassificationimage analysisVisual WordArtificial intelligenceData miningbusinessClassifier (UML)computerImage compression
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Visual saliency by keypoints distribution analysis

2011

In this paper we introduce a new method for Visual Saliency detection. The goal of our method is to emphasize regions that show rare visual aspects in comparison with those showing frequent ones. We propose a bottom up approach that performs a new technique based on low level image features (texture) analysis. More precisely, we use SIFT Density Maps (SDM), to study the distribution of keypoints into the image with different scales of observation, and its relationship with real fixation points. The hypothesis is that the image regions that show a larger distance from the mode (most frequent value) of the keypoints distribution over all the image are the same that better capture our visual a…

saliency visual attentiontexture SIFTComputer sciencebusiness.industryFixation (visual)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVisual attentionScale-invariant feature transformPattern recognitionComputer visionTop-down and bottom-up designArtificial intelligencebusinessVisual saliency
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Space-by-Time Modular Decomposition Effectively Describes Whole-Body Muscle Activity During Upright Reaching in Various Directions

2017

The modular control hypothesis suggests that motor commands are built from precoded modules whose specific combined recruitment can allow the performance of virtually any motor task. Despite considerable experimental support, this hypothesis remains tentative as classical findings of reduced dimensionality in muscle activity may also result from other constraints (biomechanical couplings, data averaging or low dimensionality of motor tasks). Here we assessed the effectiveness of modularity in describing muscle activity in a comprehensive experiment comprising 72 distinct point-to-point whole-body movements during which the activity of 30 muscles was recorded. To identify invariant modules o…

single-trial analysisModularity (networks)business.industryComputer sciencetask discriminationNeuroscience (miscellaneous)Pattern recognitionModular designInvariant (physics)Task (project management)Modular decompositionReduction (complexity)Cellular and Molecular Neurosciencemuscle synergiesspace-by-time decompositionwhole-body pointingArtificial intelligencebusinessRepresentation (mathematics)modularityNeuroscienceOriginal ResearchCurse of dimensionality
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ETAT TOPOLOGIQUE DE L'ESPACE TEMPS A L'ECHELLE 0

2002

We propose in this research a new solution regarding the existence and the content of the initial spacetime singularity. In the context of topological field theory we consider that the initial singularity of space-time corresponds to a zero size singular gravitational instanton characterized by a Riemannian metric configuration (++++) in dimension D = 4. Connected with some unexpected topological data corresponding to the zero scale of space-time, the initial singularity is thus not considered in terms of divergences of physical fields but can be resolved in the frame of topological field theory. We get this result from the physical observation that the pre-spacetime is in a thermal equilib…

singularité initiale[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]amplitude topologique PACS : 0420D04.60.-m05.45.-a[PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph]État KMSinstanton gravitationnel singulierthéorie topologique des champsinvariant de singularité04.65.+e[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph][MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]02.40.Xx
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Broglie and Young, visionaries who shed light in the polar topology that grounds our reality: a hypothesis

2020

Una observación matemática que relaciona los patrones fractales y la operación de convolución en el contexto del procesamiento de imágenes digitales interrumpió una investigación que nos lleva a plantear la hipótesis de que el concepto de onda de materia (o dualidad onda-partícula) se encuentra en la dicotomía entre el par débil y un topología fuerte en el ámbito del marco de atractores singulares continuos en ninguna parte diferenciables y el concepto de fotón-solitón de Vigier. Tal inferencia parece ser más evidente en la interpretación de Broglie-Bohm de la mecánica cuántica en el cruce de características locales x globales. De esto se deduce también que la relación de los fenómenos natu…

staircase functionsreproducing kernelnormally hyperbolic invariant manifoldsnormal topologyUNESCO::FÍSICAtotal variation filteringconvergence of power seriessmall-divisorssurface of controlevel-set methods:FÍSICA [UNESCO]lebesgue-cantor measurearithmetic physicsinteracting ieldperturbation theory
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Representing compact sets of compact operators and of compact range vector measures

1987

symbols.namesakeApproximation propertyNuclear operatorGeneral MathematicsHilbert spacesymbolsFinite-rank operatorCompact operatorTopologyInvariant subspace problemContinuous functions on a compact Hausdorff spaceCompact operator on Hilbert spaceMathematicsArchiv der Mathematik
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New Invariant Domain Preserving Finite Volume Schemes for Compressible Flows

2021

We present new invariant domain preserving finite volume schemes for the compressible Euler and Navier–Stokes–Fourier systems. The schemes are entropy stable and preserve positivity of density and internal energy. More importantly, their convergence towards a strong solution of the limit system has been proved rigorously in [9, 11]. We will demonstrate their accuracy and robustness on a series of numerical experiments.

symbols.namesakeEntropy (classical thermodynamics)Finite volume methodSeries (mathematics)Convergence (routing)Euler's formulasymbolsApplied mathematicsLimit (mathematics)Invariant (mathematics)Domain (mathematical analysis)Mathematics
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$$\mathscr {K}$$-Convergence of Finite Volume Solutions of the Euler Equations

2020

We review our recent results on the convergence of invariant domain-preserving finite volume solutions to the Euler equations of gas dynamics. If the classical solution exists we obtain strong convergence of numerical solutions to the classical one applying the weak-strong uniqueness principle. On the other hand, if the classical solution does not exist we adapt the well-known Prokhorov compactness theorem to space-time probability measures that are generated by the sequences of finite volume solutions and show how to obtain the strong convergence in space and time of observable quantities. This can be achieved even in the case of ill-posed Euler equations having possibly many oscillatory s…

symbols.namesakeFinite volume methodSpacetimeCompactness theoremsymbolsApplied mathematicsObservableUniquenessInvariant (physics)Euler equationsMathematicsProbability measure
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A Leibniz variety with almost polynomial growth

2005

Abstract Let F be a field of characteristic zero. In this paper we study the variety of Leibniz algebras V ˜ 1 defined by the identity y 1 ( y 2 y 3 ) ( y 4 y 5 ) ≡ 0 . We give a complete description of the space of multilinear identities in the language of Young diagrams through the representation theory of the symmetric group. As an outcome we show that the variety V ˜ 1 has almost polynomial growth, i.e., the sequence of codimensions of V ˜ 1 cannot be bounded by any polynomial function but any proper subvariety of V ˜ 1 as polynomial growth.

symbols.namesakePure mathematicsAlgebra and Number TheoryInvariant polynomialSymmetric polynomialAlternating polynomialLeibniz formula for determinantsHomogeneous polynomialsymbolsElementary symmetric polynomialPolarization of an algebraic formMathematicsSquare-free polynomialJournal of Pure and Applied Algebra
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