Search results for "Vector"

showing 10 items of 2660 documents

THE ROLE OF UNBOUNDED TIME-SCALES IN GENERATING LONG-RANGE MEMORY IN ADDITIVE MARKOVIAN PROCESSES

2013

Any additive stationary and continuous Markovian process described by a Fokker–Planck equation can also be described in terms of a Schrödinger equation with an appropriate quantum potential. By using such analogy, it has been proved that a power-law correlated stationary Markovian process can stem from a quantum potential that (i) shows an x-2 decay for large x values and (ii) whose eigenvalue spectrum admits a null eigenvalue and a continuum part of positive eigenvalues attached to it. In this paper we show that such two features are both necessary. Specifically, we show that a potential with tails decaying like x-μ with μ < 2 gives rise to a stationary Markovian process which is not p…

Stochastic processGeneral MathematicsAutocorrelationNull (mathematics)Mathematical analysisSpectrum (functional analysis)Quantum potentialstochastic processes survival probabilityGeneral Physics and AstronomyMarkov processStochastic processeSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Schrödinger equationsymbols.namesakelong range correlationsymbolsEigenvalues and eigenvectorsMathematicsFluctuation and Noise Letters
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Digital generation of multivariate wind field processes

2001

Abstract A very efficient procedure for the generation of multivariate wind velocity stochastic processes by wave superposition as well as autoregressive time series is proposed in this paper. The procedure starts by decomposing the wind velocity field into a summation of fully coherent independent vector processes using the frequency dependent eigenvectors of the Power Spectral Density matrix. It is shown that the application of the method allows to show some very interesting physical properties that allow to reduce drastically the computational effort. Moreover, using a standard finite element procedure for approximating the frequency dependent eigenvectors, the generation procedure requi…

Stochastic processMechanical EngineeringUnivariateAerospace EngineeringSpectral densityOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsWind speedMatrix (mathematics)Superposition principleNuclear Energy and EngineeringAutoregressive modelCalculusApplied mathematicsSafety Risk Reliability and QualityEigenvalues and eigenvectorsCivil and Structural EngineeringMathematics
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Molecular Co-operation between Protein PAM and Streptokinase for Plasmin Acquisition by Streptococcus pyogenes

1998

Bacterial surface-associated plasmin formation is believed to contribute to invasion, although the underlying molecular mechanisms are poorly understood. To define the components necessary for plasmin generation on group A streptococci we used strain AP53 which exposes an M-like protein ("PAM") that contains a plasminogen-binding sequence with two 13-amino acid residues long tandem repeats (a1 and a2). Utilizing an Escherichia coli-streptococcal shuttle vector, we replaced a 29-residue long sequence segment of Arp4, an M-like protein that does not bind plasminogen, with a single (a1) or the combined a1a2 repeats of PAM. When expressed in E. coli, the purified chimeric Arp/PAM proteins both …

Streptococcus pyogenesPlasminRecombinant Fusion Proteinsmedicine.medical_treatmentStreptokinasemedicine.disease_causeBiochemistryMicrobiologyBacterial Proteinsstomatognathic systemShuttle vectorTandem repeatEscherichiaparasitic diseasesmedicineStreptokinaseFibrinolysinMolecular BiologyGeneAntigens BacterialProteasebiologyPlasminogenCell Biologybiology.organism_classificationBiochemistryStreptococcus pyogenesTransformation BacterialCarrier ProteinsBacterial Outer Membrane Proteinsmedicine.drugJournal of Biological Chemistry
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Influence of data input in the evaluation of Stress Intensity Factors from Thermoelastic Stress Analysis

2021

Abstract Thermoelastic Stress Analysis (TSA) is applied to evaluate the Stress Intensity Factor (SIF), T-stress and J-Integral in a Single-Edge-Notched-Tension sample undergoing fatigue cycling. The Williams’ series stress formulation and a least-square fitting (LSF) procedure are used to obtain the SIF and the T-stress. The evaluation is carried out with the aim to investigate the influence of the input data in the system of equations solved with the LSF, and in particular: the number of coefficients used in the Williams’ series and the choice and position of the fitted experimental data points. Three algorithms for the determination of the crack tip position are also evaluated: a coarse g…

Stress (mechanics)Thermoelastic dampingSeries (mathematics)Position (vector)Mathematical analysisGrid method multiplicationSystem of linear equationsImage resolutionStress intensity factorMathematicsIOP Conference Series: Materials Science and Engineering
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Constrained and unconstrained problems in location theory and inner products

1997

In a real normed space X the optimization problem associated to a finite subset and to a family of positive weights with the objective function [UM0001] has some well known properties when X is an ...

Strictly convex spaceEnergetic spaceMathematical optimizationInner product spaceControl and OptimizationOptimization problemSignal ProcessingApplied mathematicsLocation theoryAnalysisComputer Science ApplicationsNormed vector spaceMathematicsNumerical Functional Analysis and Optimization
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The impact of economic and policy uncertainty shocks in Spain

2020

The purpose of this research is to quantify the impact of economic uncertainty shocks in Spain by using a structural vector autoregression (SVAR) approach with data from the first quarter of 2001 u...

Structural vector autoregressionEconomic uncertainty0502 economics and business05 social sciences050602 political science & public administrationEconometricsEconomics050207 economicsBusiness and International ManagementQuarter (United States coin)General Economics Econometrics and Finance0506 political scienceJournal of Economic Policy Reform
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Researches Regarding the Use of Fuzzy Controllers within CNC Feed Drives

2015

This paper presents some simulation based upon a dynamic model of a feed-drive within the structure of a CNC machine tool. A DC servomotor was considered as actuation device for the feed drive. For a given set of parameters for the position controller, two fuzzy types of fuzzy controllers were tested by means of simulation. The first fuzzy controller was a proportional one, with one input and one output, while the second one was a two variables one, with two inputs and one outputp.

Structure (mathematical logic)Set (abstract data type)EngineeringControl theoryPosition (vector)business.industryNumerical controlControl engineeringGeneral MedicineServomotorbusinessMotion controlFuzzy logicApplied Mechanics and Materials
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Semi-supervised Hyperspectral Image Classification with Graphs

2006

This paper presents a semi-supervised graph-based method for the classification of hyperspectral images. The method is designed to exploit the spatial/contextual information in the im- ages through composite kernels. The proposed method produces smoother classifications with respect to the intrinsic structure collectively revealed by known labeled and unlabeled points. Good accuracy in high dimensional spaces and low number of labeled samples (ill-posed situations) are produced as compared to standard inductive support vector machines.

Structured support vector machineContextual image classificationbusiness.industryHyperspectral imagingPattern recognitionGraphRelevance vector machineSupport vector machineComputingMethodologies_PATTERNRECOGNITIONKernel (image processing)Artificial intelligencebusinessCluster analysisMathematics2006 IEEE International Symposium on Geoscience and Remote Sensing
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Including invariances in SVM remote sensing image classification

2012

This paper introduces a simple method to include invariances in support vector machine (SVM) for remote sensing image classification. We rely on the concept of virtual support vectors, by which the SVM is trained with both the selected support vectors and synthetic examples encoding the invariance of interest. The algorithm is very simple and effective, as demonstrated in two particularly interesting examples: invariance to the presence of shadows and to rotations in patchbased image segmentation. The improved accuracy (around +6% both in OA and Cohen's κ statistic), along with the simplicity of the approach encourage its use and extension to encode other invariances and other remote sensin…

Structured support vector machineContextual image classificationbusiness.industryPattern recognitionImage segmentationENCODESupport vector machineSimple (abstract algebra)Encoding (memory)Computer visionArtificial intelligencebusinessStatisticRemote sensingMathematics2012 IEEE International Geoscience and Remote Sensing Symposium
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Existence, nonexistence and uniqueness of positive solutions for nonlinear eigenvalue problems

2017

We study the existence of positive solutions for perturbations of the classical eigenvalue problem for the Dirichlet $p-$Laplacian. We consider three cases. In the first the perturbation is $(p-1)-$sublinear near $+\infty$, while in the second the perturbation is $(p-1)-$superlinear near $+\infty$ and in the third we do not require asymptotic condition at $+\infty$. Using variational methods together with truncation and comparison techniques, we show that for $\lambda\in (0, \widehat{\lambda}_1)$ -$\lambda>0$ is the parameter and $\widehat{\lambda}_1$ being the principal eigenvalue of $\left(-\Delta_p, W^{1, p}_0(\Omega)\right)$ -we have positive solutions, while for $\lambda\geq \widehat{\…

Sublinear functionMonotonic functionLambda01 natural sciencesOmegaDirichlet distributionsymbols.namesakeFirst eigenvalueP-LaplacianUniqueness0101 mathematicsEigenvalues and eigenvectorsMathematical physicsNonlinear regularityPhysicsApplied Mathematics010102 general mathematicsMathematical analysisVariational methodAnalysiFirst eigenvalue; Generalized picone's identity; Nonlinear maximum principle; Nonlinear regularity; P-Laplacian; Variational methods; Analysis; Applied MathematicsGeneral Medicine010101 applied mathematicsp-LaplaciansymbolsNonlinear maximum principleGeneralized picone's identityAnalysis
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