Search results for "moments"

showing 10 items of 151 documents

1D antiferromagnetism in spin‐alternating bimetallic chains

1990

The magnetic and thermal properties of the ordered bimetallic chain CoNi(EDTA)⋅6H2O in the very low‐temperature range are reported. The magnetic behavior does not exhibit the characteristic features of 1D ferrimagnets, but a continuous decrease of χmT towards zero at absolute zero. This 1D antiferromagnetic behavior results from an accidental compensation between the moments located at the two sublattices. This behavior, as well as the specific‐heat results, are modeled on the basis of an Ising‐exchange model that considers both alternating spins and Landé factors, and a zero‐field splitting on the Ni site. Eugenio.Coronado@uv.es ; Fernando.Sapina@uv.es

Magnetic PropertiesEdtaExchange InteractionsGeneral Physics and AstronomyNickel CompoundsCobalt Compounds ; Nickel Compounds ; Edta ; Hydrates ; Magnetic Properties ; One−Dimensional Systems ; Ultralow Temperature ; Antiferromagnetism ; Magnetic Moments ; Exchange Interactions ; Ising Model ; Anisotropy ; Specific HeatMagnetic MomentsAntiferromagnetism:FÍSICA [UNESCO]AntiferromagnetismHydratesAnisotropyBimetallic stripAbsolute zeroSpin-½Condensed matter physicsMagnetic momentSpinsChemistryUNESCO::FÍSICAOne−Dimensional SystemsUltralow TemperatureSpecific HeatIsing ModelAnisotropyCondensed Matter::Strongly Correlated ElectronsIsing modelCobalt Compounds
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The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria

2013

Author's version of an article in the journal: Pattern Recognition. Also available from the publisher at: http://dx.doi.org/10.1016/j.patcog.2012.07.004 The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature space from each class, the optimal Bayesian strategy would be to achieve this based on the (Mahalanobis) distance from the corresponding means. The reader should observe that, in this context, the mean, in one sense, is the most central point in the respective distribution. In this paper, we shall show that we can obtain opti…

Mahalanobis distanceVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412Feature vectorOrder statisticBayesian probabilityclassification by moments of order statistics020206 networking & telecommunicationsVDP::Technology: 500::Information and communication technology: 55002 engineering and technologyprototype reduction schemesNaive Bayes classifierBayes' theoremExponential familypattern classificationorder statisticsArtificial IntelligenceSignal Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAlgorithmSoftwarereduction of training patternsMathematicsParametric statistics
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Effects of medially posted insoles on foot and lower limb mechanics across walking and running in overpronating men.

2017

Anti-pronation orthoses, like medially posted insoles (MPI), have traditionally been used to treat various of lower limb problems. Yet, we know surprisingly little about their effects on overall foot motion and lower limb mechanics across walking and running, which represent highly different loading conditions. To address this issue, multi-segment foot and lower limb mechanics was examined among 11 over-pronating men with normal (NORM) and MPI insoles during walking (self-selected speed 1.70 +/- 0.19 m/s vs 1.72 +/- 0.20 m/s, respectively) and running (4.04 +/- 0.17 m/s vs 4.10 +/- 0.13 m/s, respectively). The kinematic results showed that MPI reduced the peak forefoot eversion movement in …

MaleMOTIONKnee JointOrthoticsKinematicsWalkingORTHOTICSRunning0302 clinical medicineMOMENTSOrthopedics and Sports Medicineta315Rehabilitationmulti-segment foot kinematicsBiomechanicsta3141MechanicsBiomechanical Phenomenamedicine.anatomical_structureKNEEmedicine.medical_specialtyOrthotic DevicesMovementBiomedical EngineeringBiophysicspronationmedially posted insolesjuoksuwalking03 medical and health sciencesmedicinePressureHumansPronationTibiaKINEMATICSTibiabusiness.industryFootForefootANKLE030229 sport sciences217 Medical engineeringORTHOSESBIOMECHANICSbody regionsKineticskineticsREARFOOTCoronal planeAnklebusinesshuman activities030217 neurology & neurosurgeryAnkle JointCenter of pressure (fluid mechanics)Journal of biomechanics
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A numerical method for imaging of biological microstructures by VHF waves

2014

Imaging techniques give a fundamental support to medical diagnostics during the pathology discovery as well as for the characterization of bio-medical structures. The imaging methods involve electromagnetic waves in a frequency range that spans from some Hz to GHz and over. Most of these methods involve ionizing waves and scanning of a large human body area even if only a focused inspection is needed. In this paper, a numerical method to evaluate the shape of microstructures for application in the medical field, with a very low invasiveness for the human body, is proposed. In particular, the tooth’s root canal is considered. In fact, this is one of the hot topics in the endodontic procedure…

Mathematical optimizationMedical diagnosticAcousticsRoot canalElectromagnetic radiationSettore MAT/08 - Analisi NumericaRobustness (computer science)medicineMethod of MomentLevenberg–Marquardt methodMethod of MomentsMathematicsNon-linear modelApplied MathematicsNumerical analysisBiological microstructureNon ionizing waveInverse problemMicrostructureMagnetic fieldSettore ING-IND/31 - ElettrotecnicaComputational Mathematicsmedicine.anatomical_structureLevenberg-Marquardt methodInverse problemSettore MED/36 - Diagnostica Per Immagini E RadioterapiaJournal of Computational and Applied Mathematics
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A fast recursive algorithm for the computation of axial moments

2002

This paper describes a fast algorithm to compute local axial moments used for the detection of objects of interest in images. The basic idea is grounded on the elimination of redundant operations while computing axial moments for two neighboring angles of orientation. The main result is that the complexity of recursive computation of axial moments becomes independent of the total number of computed moments in a given point, i.e. it is of the order O(N) where N is the data size. This result is of great importance in computer vision since many feature extraction methods are based on the computation of axial moments. The experimental results confirm the time complexity and accuracy predicted b…

Mathematical optimizationSettore INF/01 - InformaticaComputational complexity theoryVelocity MomentsOrientation (computer vision)ComputationFeature extractionA fast recursive algorithm for the computation of axial momentsPoint (geometry)Time complexityAlgorithmObject detectionMathematicsProceedings 11th International Conference on Image Analysis and Processing
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Dimensional reduction for energies with linear growth involving the bending moment

2008

A $\Gamma$-convergence analysis is used to perform a 3D-2D dimension reduction of variational problems with linear growth. The adopted scaling gives rise to a nonlinear membrane model which, because of the presence of higher order external loadings inducing a bending moment, may depend on the average in the transverse direction of a Cosserat vector field, as well as on the deformation of the mid-plane. The assumption of linear growth on the energy leads to an asymptotic analysis in the spaces of measures and of functions with bounded variation.

Mathematics(all)Asymptotic analysis49J45 49Q20 74K35dimension reductionGeneral Mathematics01 natural sciencesMathematics - Analysis of PDEsTangent measures; bending moments; dimension reductionFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicsScalingFunctions of bounded variationMathematicsDeformation (mechanics)Applied Mathematics010102 general mathematicsMathematical analysisTangent measures010101 applied mathematicsNonlinear systemΓ-convergenceDimensional reductionBounded variationBending momentbending momentsVector fieldMSC: 49J45; 49Q20; 74K35Analysis of PDEs (math.AP)
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Cross-correlation and cross-power spectral density representation by complex spectral moments

2017

Abstract A new approach to provide a complete characterization of normal multivariate stochastic vector processes is presented in this paper. Such proposed method is based on the evaluation of the complex spectral moments of the processes. These quantities are strictly related to the Mellin transform and they are the generalization of the integer-order spectral moments introduced by Vanmarcke. The knowledge of the complex spectral moments permits to obtain the power spectral densities and their cross counterpart by a complex series expansions. Moreover, with just the aid of some mathematical properties the complex fractional moments permit to obtain also the correlation and cross-correlatio…

Mellin transformField (physics)Cross-correlationApplied MathematicsMechanical EngineeringCross-correlationMathematical analysisCross power spectral densitySpectral density020101 civil engineering02 engineering and technologyWhite noise01 natural sciencesProbability vectorComplex spectral moment010305 fluids & plasmas0201 civil engineeringMechanics of Materials0103 physical sciencesComplex spectral moments Mellin transform cross power spectral density cross-correlationMechanics of MaterialRepresentation (mathematics)Series expansionMellin transformMathematics
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Riesz fractional integrals and complex fractional moments for the probabilistic characterization of random variables

2012

Abstract The aim of this paper is the probabilistic representation of the probability density function (PDF) or the characteristic function (CF) in terms of fractional moments of complex order. It is shown that such complex moments are related to Riesz and complementary Riesz integrals at the origin. By invoking the inverse Mellin transform theorem, the PDF or the CF is exactly evaluated in integral form in terms of complex fractional moments. Discretization leads to the conclusion that with few fractional moments the whole PDF or CF may be restored. Application to the pathological case of an α -stable random variable is discussed in detail, showing the impressive capability to characterize…

Mellin transformFractional spectral momentDiscretizationCharacteristic function (probability theory)Mechanical EngineeringCharacteristic functionMathematical analysisAerospace EngineeringComplex order momentOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionFractional calculuCondensed Matter PhysicsFractional calculusNuclear Energy and EngineeringProbability density functionApplied mathematicsFractional momentRandom variableCumulantMellin transformCivil and Structural EngineeringMathematicsTaylor expansions for the moments of functions of random variablesProbabilistic Engineering Mechanics
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Estimation of the mean crystal size and the moments of the crystal size distribution in batch crystallization processes

2016

International audience; A cascade high gain observer is designed to estimate the first four leading moments of the crystal size distribution (CSD) and the mean crystal size in batch crystallization processes. The proposed observer is based on a well-known transformation of the partial differential equation describing the CSD to a set of ordinary differential equations (the method of moments). Due to numerical difficulties resulting from the important differences in the magnitudes of the moments, a set of new variables is computed to allow a good estimation of the moments and thus the mean crystal size. In this work, only solute concentration and crystallizer temperature are used to estimate…

Model-Predictive ControlIdentification[ INFO ] Computer Science [cs]Observer (quantum physics)population balance equations02 engineering and technologyMethod of moments (statistics)high gain observer[SPI.AUTO]Engineering Sciences [physics]/Automaticlaw.inventionCrystalCrystallization processes020401 chemical engineeringFbrmControl theorylawBeam Reflectance Measurement[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[INFO]Computer Science [cs]L-Glutamic Acid0204 chemical engineeringCrystallizationComputingMilieux_MISCELLANEOUSMathematicsParticle-SizePartial differential equationmethod of momentsMathematical analysisShape021001 nanoscience & nanotechnologyImage-Analysiscrystal size distributionTransformation (function)CascadeOrdinary differential equation0210 nano-technologyProduct
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Electronic excited states of conjugated cyclic ketones and thioketones : A theoretical study

2002

Absorption spectra of a series of cyclic conjugated ketones and thioketones have been computed at the multiconfigurational second-order multistate perturbation level of theory, the CASSCF/MS-CASPT2 method. Excitation energies, transition dipole moments, oscillator strengths, and static dipole moments are reported and discussed for excited states with energies lower than ≈ 7–8 eV. The main bands of the spectra have been assigned and characterized in most cases for the first time. The spectroscopy of the different systems is compared in detail. Thioketones in particular have low-energy and intense ππ∗ transitions which suggest corresponding enhanced nonlinear molecular optical properties. Add…

Molecular MomentsAbsorption spectroscopyChemistryOrganic CompoundsTransition MomentsGeneral Physics and AstronomyOscillator StrengthsExcited StatesConjugated systemSCF CalculationsSpectral lineUNESCO::FÍSICA::Química físicaDipoleExcited stateTheoretical chemistryPhysical and Theoretical ChemistryAtomic physicsOrganic Compounds ; Excited States ; SCF Calculations ; Molecular Moments ; Oscillator Strengths ; Transition MomentsSpectroscopy:FÍSICA::Química física [UNESCO]Excitation
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