Search results for "distribution function"

showing 10 items of 348 documents

Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model

2015

Abstract The early detection of decay caused by fungi in citrus fruit is a primary concern in the post-harvest phase, the automation of this task still being a challenge. This work reports new progress in the automatic detection of early symptoms of decay in citrus fruit after infection with the pathogen Penicillium digitatum using laser-light backscattering imaging. Backscattering images of sound and decaying parts of the surface of oranges cv. ‘Valencia late’ were obtained using laser diode modules emitting at five wavelengths in the visible and near-infrared regions. The images of backscattered light captured by a camera had radial symmetry with respect to the incident point of the laser…

Laser diodeChemistrybusiness.industryScatteringDimensionality reductionFeature vectorLinear discriminant analysisLaserlaw.inventionWavelengthOpticsDistribution functionlawbusinessFood Science
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Classical and ab-initio molecular dynamic simulation of an amorphous silica surface

2001

We present the results of a classical molecular dynamic simulation as well as of an ab initio molecular dynamic simulation of an amorphous silica surface. In the case of the classical simulation we use the potential proposed by van Beest et al. (BKS) whereas the ab initio simulation is done with a Car-Parrinello method (CPMD). We find that the surfaces generated by BKS have a higher concentration of defects (e.g. concentration of two-membered rings) than those generated with CPMD. In addition also the distribution functions of the angles and of the distances are different for the short rings. Hence we conclude that whereas the BKS potential is able to reproduce correctly the surface on the …

Length scaleSurface (mathematics)Car–Parrinello molecular dynamicsMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Ab initioFOS: Physical sciencesGeneral Physics and AstronomyDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksApproxCondensed Matter::Disordered Systems and Neural NetworksMolecular dynamicsDistribution functionHardware and ArchitectureChemical physicsAmorphous silicaCondensed Matter - Statistical MechanicsComputer Physics Communications
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Simulating Term Structure of Interest Rates with Arbitrary Marginals

2007

Decision models under uncertainty need to be feeded with scenarios of the interest rate curve. Such scenarios have to comply, as close as possible, with the empirical distribution of each rate. Simulation models of the term structure usually assume that the conjugate distribution of the interest rates is lognormal. Dynamic models, like vector auto-regression, implicitly postulate that the logarithm of the interest rates is normally distributed. Statistical analyses have, however, shown that stationary transformations (yield changes) of the interest rates are substantially leptokurtic, thus posing serious doubts on the reliability of the available models. We propose in this paper a vector au…

LogarithmAutoregressive modelShort-rate modelComputer sciencemedia_common.quotation_subjectLog-normal distributionEconometricsYield curveEmpirical distribution functionInterest ratemedia_commonTerm (time)SSRN Electronic Journal
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A DERIVATION OF THE VLASOV-NAVIER-STOKES MODEL FOR AEROSOL FLOWS FROM KINETIC THEORY

2016

This article proposes a derivation of the Vlasov-Navier-Stokes system for spray/aerosol flows. The distribution function of the dispersed phase is governed by a Vlasov-equation, while the velocity field of the propellant satisfies the Navier-Stokes equations for incompressible fluids. The dynamics of the dispersed phase and of the propellant are coupled through the drag force exerted by the propellant on the dispersed phase. We present a formal derivation of this model from a multiphase Boltzmann system for a binary gaseous mixture, involving the droplets/dust particles in the dispersed phase as one species, and the gas molecules as the other species. Under suitable assumptions on the colli…

MSC: 35Q20 35B25 (82C40 76T15 76D05)aerosolVlasov-Navier-Stokes systemGeneral Mathematics01 natural sciencesPhysics::Fluid DynamicsBoltzmann equationsymbols.namesakeMathematics - Analysis of PDEsThermal velocityPhase (matter)35Q20 35B25 (82C40 76T15 76D05)SpraysFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicsSettore MAT/07 - Fisica MatematicaPhysicsPropellantAerosolsGas mixtureApplied Mathematics010102 general mathematicsMechanicsMass ratioBoltzmann equationAerosol010101 applied mathematicsDistribution functionsprayBoltzmann constantsymbolsHydrodynamic limitAnalysis of PDEs (math.AP)
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Microstructure Design for Fast Lifetime Measurements of Magnetic Tunneling Junctions

2019

The estimation of the reliability of magnetic field sensors against failure is a critical point concerning their application for industrial purposes. Due to the physical stochastic nature of the failure events, this can only be done by means of a statistical approach which is extremely time consuming and prevents a continuous observation of the production. Here, we present a novel microstructure design for a parallel measurement of the lifetime characteristics of a sensor population. By making use of two alternative designs and the Weibull statistical distribution function, we are able to measure the lifetime characteristics of a CoFeB/MgO/CoFeB tunneling junction population. The main param…

Materials science530 PhysicsPopulationMgO02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistrytunneling barrierstressCritical point (thermodynamics)sensor0103 physical sciencesElectronic engineeringlcsh:TP1-1185Electrical and Electronic EngineeringeducationInstrumentationWeibull distribution010302 applied physicseducation.field_of_studyreliabilityTime evolutionFailure rate021001 nanoscience & nanotechnologyMicrostructure530 PhysikAtomic and Molecular Physics and OpticsMagnetic fieldfailureDistribution functionTMRWeibull0210 nano-technologyMTJSensors (Basel, Switzerland)
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Solvent features of cluster single-wall C, BC2N and BN nanotubes, cones and horns

2013

Graphical abstractDisplay Omitted Highlights? It is discussed single-wall carbon, BC2N and BN nanocones in organic solvents in cluster form. ? Theory is developed based on a cluster bundlet model describing distribution function by size. ? There is explanation in which (BC2N/BN-)SWNC free energy is combined from two components. ? Bundlet model enables describing the distribution function of (BC2N/BN-)SWNC clusters by size. ? From purely geometrical differences, bundlet and droplet models predict different behaviours. It is discussed the existence of single-wall carbon nanocones (SWNCs), especially nanohorns (SWNHs), and BC2N/boron nitride (BN) analogues in organic solvents in cluster form; …

Materials scienceCarbon nanotubeDisclinationCondensed Matter PhysicsMolecular physicsAtomic and Molecular Physics and OpticsSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialslaw.inventionchemistry.chemical_compoundDistribution functionchemistryComputational chemistryBoron nitridelawCluster (physics)MoleculeLigand cone angleElectrical and Electronic EngineeringCarbon nanoconeMicroelectronic Engineering
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EDA: EXAFS data-analysis software package

2021

The EXAFS data-analysis software package EDA consists of a suite of programs running under a Windows operating system environment that is designed to perform all steps of conventional EXAFS data analysis such as extraction of the XANES/EXAFS parts of the X-ray absorption coefficient, Fourier filtering and EXAFS fitting using the Gaussian and cumulant models. The package also includes two advanced approaches which allow the reconstruction of the radial distribution function (RDF) from EXAFS based on the regularization-like method and the calculation of configuration-averaged EXAFS using a set of atomic configurations obtained from molecular-dynamics or Monte Carlo simulations.---- / / / ----…

Materials scienceComputer scienceGaussianCarry (arithmetic)Monte Carlo methodFOS: Physical sciencesMaximum entropy method02 engineering and technologyRadial distribution function01 natural sciencesComputational scienceSet (abstract data type)symbols.namesakeCondensed Matter::Materials ScienceCondensed Matter::Superconductivity0103 physical sciences:NATURAL SCIENCES:Physics [Research Subject Categories]Analysis softwareElectrical and Electronic Engineering010306 general physics010302 applied physicsCondensed Matter - Materials ScienceExtended X-ray absorption fine structureComputer programImproved algorithmMaterials Science (cond-mat.mtrl-sci)021001 nanoscience & nanotechnologyCondensed Matter PhysicsXANESElectronic Optical and Magnetic MaterialsEXAFSIBM PC compatibleMicrosoft Windowssymbols0210 nano-technology
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Description of Relaxor State in Na1/2Bi1/2TiO3-SrTiO3-PbTiO3 System of Solid Solutions

2011

Vogel-Fulcher law, traditionally applied to describe dispersion of dielectric permittivity in relaxor ferroelectrics, requires introduction of two different relaxation mechanisms above and below freezing temperature correspondingly. Extending distribution function of relaxation times, previously known for low-temperature region, allows creating common description of relaxation in all range, where distribution function of relaxation times can be regarded as wide, without freezing at certain temperature.

Materials scienceCondensed matter physicsDielectric permittivityState (functional analysis)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsCondensed Matter::Materials ScienceDistribution functionControl and Systems EngineeringDispersion (optics)Materials ChemistryCeramics and CompositesRange (statistics)Relaxation (physics)Electrical and Electronic EngineeringSolid solutionCole–Cole equationIntegrated Ferroelectrics
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Chemical strain effects and changed lattice dynamic in (Sr1-1.5xBix)TiO3ceramics (x ≤ 0.15)

2016

ABSTRACTIn this work lattice strain (induced by chemical Bi substitution on A-site) effects on the lattice dynamic of SrTiO3 ceramics were investigated by broadband dielectric spectroscopy in the very broad frequency range from 10 mHz up to 30 GHz and temperatures from 30 K to 500 K. Obtained results confirmed predicted induce of the ferroelectricity and suppression of the structural phase transition due to substitution of A-site ions – chemical straining of the lattice, both happening at the local scale but evident in macroscopic dielectric spectroscopy measurements. Calculated relaxation time distribution function broadens towards the longest relaxation times with temperature decrease and…

Materials scienceCondensed matter physicsRelaxation (NMR)Doping02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesFerroelectricityElectronic Optical and Magnetic MaterialsDielectric spectroscopyIonCondensed Matter::Materials ScienceDistribution functionNuclear magnetic resonanceLattice (order)visual_art0103 physical sciencesvisual_art.visual_art_mediumCeramic010306 general physics0210 nano-technologyFerroelectrics
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Cooling-rate effects in amorphous silica: A computer-simulation study

1996

Using molecular dynamics computer simulations we investigate how in silica the glass transition and the properties of the resulting glass depend on the cooling rate with which the sample is cooled. By coupling the system to a heat bath with temperature $T_b(t)$, we cool the system linearly in time, $T(t)=T_i-\gamma t$, where $\gamma$ is the cooling rate. We find that the glass transition temperature $T_g$ is in accordance with a logarithmic dependence on the cooling rate. In qualitative accordance with experiments, the density shows a local maximum, which becomes more pronounced with decreasing cooling rate. The enthalpy, density and the thermal expansion coefficient for the glass at zero t…

Materials scienceDistribution functionCoordination numberCondensed Matter (cond-mat)EnthalpyFOS: Physical sciencesOrder (ring theory)ThermodynamicsCondensed MatterCoupling (probability)Radial distribution functionGlass transitionThermal expansionPhysical Review B
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