Search results for " Normal"

showing 10 items of 336 documents

Extra tension at electrode-nanowire adhesive contacts in nano-electromechanical devices

2017

Abstract We report a strong tangential component of the reaction force at electrode to nanowire adhesive contact which was previously established using electrostatic attraction. The reaction force tangential component absolute value was found to be comparable to or even bigger than the corresponding normal component. This effect is important for understanding of the mechanics of nano-electromechanical devices. Both the experiment and the corresponding theory are presented. Fitting of the obtained analytical solutions to experimental data was used to measure the reaction force acting at the contact for several nanowire-electrode configurations.

Materials scienceNanowire deflectionTension (physics)Mechanical EngineeringNanowireGeneral Physics and AstronomyAbsolute valueNanotechnology02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesNano-electromechanical switchReactionMechanics of MaterialsElectrodeNano-General Materials ScienceNano-electromechanical contactAdhesiveComposite material0210 nano-technologyTangential and normal componentsEuropean Journal of Mechanics - A/Solids
researchProduct

Non-linear systems under parametric white noise input: digital simulation and response

2005

Abstract Monte Carlo technique is constituted of three steps. Therefore, improving such technique in practice means, improving the procedure used in one of the three following steps: (i) sample paths of the stochastic input process, (ii) calculation of the outputs corresponding to the generated input samples by using methods of classical dynamics and (iii) estimating statistics of the output process from sample outputs related to the previous step. For linear and non-linear systems driven by parametric impulsive inputs such as normal or non-normal white noises, a general integration method requires a considerable reduction of the integration step when the impulse occurs, treating the impuls…

Mathematical optimizationApplied MathematicsMechanical EngineeringMonte Carlo methodα-stable white noiseParametric impulseWhite noiseImpulse (physics)Poissonian white noiseWindow functionα-stable white noise; Normal white noise; Parametric impulse; Poissonian white noiseNonlinear systemMechanics of MaterialsMonte Carlo integrationQuasi-Monte Carlo methodAlgorithmParametric statisticsMathematicsNormal white noise
researchProduct

How to simulate normal data sets with the desired correlation structure

2010

The Cholesky decomposition is a widely used method to draw samples from multivariate normal distribution with non-singular covariance matrices. In this work we introduce a simple method by using singular value decomposition (SVD) to simulate multivariate normal data even if the covariance matrix is singular, which is often the case in chemometric problems. The covariance matrix can be specified by the user or can be generated by specifying a subset of the eigenvalues. The latter can be an advantage for simulating data sets with a particular latent structure. This can be useful for testing the performance of chemometric methods with data sets matching the theoretical conditions for their app…

Mathematical optimizationCovariance functionCovariance matrixProcess Chemistry and TechnologyMathematicsofComputing_NUMERICALANALYSISMultivariate normal distributionCovarianceComputer Science ApplicationsAnalytical ChemistryEstimation of covariance matricesScatter matrixMatrix normal distributionCMA-ESAlgorithmComputer Science::DatabasesSpectroscopySoftwareMathematicsChemometrics and Intelligent Laboratory Systems
researchProduct

Statistical validation of rival models for observable stochastic process and its identification

2011

In this paper, for statistical validation of rival (analytical or simulation) models collected for modeling observable process in stochastic system (say, transportation or service system), a uniformly most powerful invariant (UMPI) test is developed from the generalized maximum likelihood ratio (GMLR). This test can be considered as a result of a new approach to solving the Behrens-Fisher problem when covariance matrices of multivariate normal populations (compared with respect to their means) are different and unknown. The test makes use of an invariant statistic whose distribution, under the null hypothesis, does not depend on the unknown (nuisance) parameters. The sample size and thresho…

Mathematical optimizationCovariance matrixStochastic processMultivariate normal distributionCovarianceInvariant (mathematics)Null hypothesisBehrens–Fisher problemStatisticMathematics2011 Baltic Congress on Future Internet and Communications
researchProduct

Adaptive Gaussian particle method for the solution of the Fokker-Planck equation

2012

The Fokker-Planck equation describes the evolution of the probability density for a stochastic ordinary differential equation (SODE). A solution strategy for this partial differential equation (PDE) up to a relatively large number of dimensions is based on particle methods using Gaussians as basis functions. An initial probability density is decomposed into a sum of multivariate normal distributions and these are propagated according to the SODE. The decomposition as well as the propagation is subject to possibly large numeric errors due to the difficulty to control the spatial residual over the whole domain. In this paper a new particle method is derived, which allows a deterministic error…

Mathematical optimizationPartial differential equationApplied MathematicsGaussianComputational MechanicsBasis functionProbability density functionMultivariate normal distributionResidualsymbols.namesakeOrdinary differential equationsymbolsApplied mathematicsFokker–Planck equationMathematicsZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
researchProduct

A Highly Flexible Trajectory Model Based on the Primitives of Brownian Fields—Part II: Analysis of the Statistical Properties

2016

In the first part of our paper, we have proposed a highly flexible trajectory model based on the primitives of Brownian fields (BFs). In this second part, we study the statistical properties of that trajectory model in depth. These properties include the autocorrelation function (ACF), mean, and the variance of the path along each axis. We also derive the distribution of the angle-of-motion (AOM) process, the incremental traveling length process, and the overall traveling length. It is shown that the path process is in general non-stationary. We show that the AOM and the incremental traveling length processes can be modeled by the phase and the envelope of a complex Gaussian process with no…

Mathematical optimizationUniform distribution (continuous)Applied MathematicsGaussianAutocorrelationMathematical analysis020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyComputer Science ApplicationsComplex normal distributionsymbols.namesake0203 mechanical engineeringLog-normal distribution0202 electrical engineering electronic engineering information engineeringsymbolsTrajectoryElectrical and Electronic EngineeringGaussian processRandom variableMathematicsIEEE Transactions on Wireless Communications
researchProduct

The squared symmetric FastICA estimator

2017

In this paper we study the theoretical properties of the deflation-based FastICA method, the original symmetric FastICA method, and a modified symmetric FastICA method, here called the squared symmetric FastICA. This modification is obtained by replacing the absolute values in the FastICA objective function by their squares. In the deflation-based case this replacement has no effect on the estimate since the maximization problem stays the same. However, in the symmetric case we obtain a different estimate which has been mentioned in the literature, but its theoretical properties have not been studied at all. In the paper we review the classic deflation-based and symmetric FastICA approaches…

Mathematical optimizationaffine equivarianceminimum distance indexMathematics - Statistics TheoryIndependent component analysis02 engineering and technologyEstimating equationsStatistics Theory (math.ST)01 natural sciences010104 statistics & probabilityMatrix (mathematics)0202 electrical engineering electronic engineering information engineeringFOS: MathematicsApplied mathematics62H10 62H120101 mathematicsElectrical and Electronic EngineeringMathematicsta113ta112ta111EstimatorContrast (statistics)riippumattomien komponenttien analyysi020206 networking & telecommunicationsMaximizationIndependent component analysisNonlinear systemControl and Systems EngineeringSignal ProcessingFastICAComputer Vision and Pattern Recognitionlimiting normalitySoftware
researchProduct

Normal forms and embeddings for power-log transseries

2016

First return maps in the neighborhood of hyperbolic polycycles have their asymptotic expansion as Dulac series, which are series with power-logarithm monomials. We extend the class of Dulac series to an algebra of power-logarithm transseries. Inside this new algebra, we provide formal normal forms of power-log transseries and a formal embedding theorem. The questions of classifications and of embeddings of germs into flows of vector fields are common problems in dynamical systems. Aside from that, our motivation for this work comes from fractal analysis of orbits of first return maps around hyperbolic polycycles. This is a joint work with Pavao Mardešić, Jean-Philippe Rolin and Vesna Župano…

Mathematics::Dynamical Systems[ MATH.MATH-CA ] Mathematics [math]/Classical Analysis and ODEs [math.CA]TransseriesGeneral Mathematics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]MSC: 34C20 37C10 39B12 46A19 28A75 58K50 26A12[MATH.MATH-CA]Mathematics [math]/Classical Analysis and ODEs [math.CA]Normal forms01 natural sciencesIteration theory ; Dulac map ; normal forms ; embedding in a flow ; transseries.0101 mathematicsAlgebra over a fieldMathematicsSeries (mathematics)Dulac mapIteration theoryformal normal forms parabolic transseriesMathematics::History and Overview010102 general mathematicsPower (physics)010101 applied mathematicsAlgebraEmbeddingEmbedding in a flowIteration theoryAdvances in Mathematics
researchProduct

On finite T-groups

2003

[EN] Characterisations of finite groups in which normality is a transitive relation are presented in the paper. We also characterise the finite groups in which every subgroup is either permutable or coincides with its permutiser as the groups in which every subgroup is permutable.

Mathematics::Group TheoryMathematics::CombinatoricsFinite soluble groupTransitive normalityMATEMATICA APLICADAMatemàtica
researchProduct

Parameter optimization for amplify-and-forward relaying with imperfect channel estimation

2009

Cooperative diversity is a promising technology for future wireless networks. In this paper, we consider a cooperative communication system operating in an amplify-and-forward (AF) mode with an imperfectly-known relay fading channel. It is assumed that a pilot symbol assisted modulation (PSAM) scheme with linear minimum mean square estimator (LMMSE) is used for the channel estimation. A simple and easy-to-evaluate asymptotical upper bound (AUB) of the symbol-error-rate (SER) is derived for uncoded AF cooperative systems with quadrature amplitude modulation (QAM) constellations. Based on the AUB, we propose a criterion for the choice of parameters in the PSAM scheme, i.e., the pilot spacing …

Mean squared errorChannel state informationControl theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552EstimatorFadingUpper and lower boundsAlgorithmQuadrature amplitude modulationComplex normal distributionCooperative diversityMathematics
researchProduct