Search results for "Simulation."

showing 10 items of 4779 documents

Simulation of a realistic residential development with the integration of two existing models

2017

International audience

[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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An Agent based model for the transmission and control of the COVID-19 in Dijon

2020

International audience

[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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OntoVersionGraph : a change management methodology dedicated to formal ontologies and their user views in a collaborative context

2014

The world changes over time, impacting the knowledge of every subdomain it contains. Therefore systems describing the knowledge of a certain domain should be able to consider changes occurred to keep its knowledge representation up-to-date. Formal ontologies are one of them: they explicitly and formally represent the knowledge of a domain in all its forms and modes of existence. Collaboratively developed, a formal ontology allows the domain users to understand each other by sharing the same terminology despite the different assumptions they have on the domain conceptualization. However, due to its completeness, the complexity of its conceptualization can sometimes make the domain knowledge …

[INFO.INFO-WB] Computer Science [cs]/WebOntology VersioningFormal OntologyGestion du changement dans les ontologiesDescription LogicOntologie formelleOntology EvolutionLogique de descriptionKnowledge ManagementOntoVersionGraphEvolution d'ontologieOntology Change ManagementGestion du changementVersioning d'ontologieWeb sémantique[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSemantic WebOWL[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]
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Modeling Cooperation of Information Systems

2001

International audience

[INFO]Computer Science [cs][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO] Computer Science [cs][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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Statistics of transitions for Markov chains with periodic forcing

2013

The influence of a time-periodic forcing on stochastic processes can essentially be emphasized in the large time behaviour of their paths. The statistics of transition in a simple Markov chain model permits to quantify this influence. In particular the first Floquet multiplier of the associated generating function can be explicitly computed and related to the equilibrium probability measure of an associated process in higher dimension. An application to the stochastic resonance is presented.

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Markov chain mixing timeMarkov kernelMarkov chainProbability (math.PR)Markov chainlarge time asymptoticStochastic matrixcentral limit theoremMarkov process[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]symbols.namesakeMarkov renewal processModeling and SimulationFloquet multipliersStatisticsFOS: MathematicssymbolsMarkov propertyExamples of Markov chainsstochastic resonance60J27 60F05 34C25[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilityMathematics
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Exact simulation of diffusion first exit times: algorithm acceleration

2020

In order to describe or estimate different quantities related to a specific random variable, it is of prime interest to numerically generate such a variate. In specific situations, the exact generation of random variables might be either momentarily unavailable or too expensive in terms of computation time. It therefore needs to be replaced by an approximation procedure. As was previously the case, the ambitious exact simulation of exit times for diffusion processes was unreachable though it concerns many applications in different fields like mathematical finance, neuroscience or reliability. The usual way to describe exit times was to use discretization schemes, that are of course approxim…

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Probability (math.PR)primary 65C05 secondary:60G40 68W20 68T05 65C20 91A60 60J60diffusion processes[MATH] Mathematics [math]Exit timeExit time Brownian motion diffusion processes rejection sampling exact simulation multi-armed bandit randomized algorithm.randomized algorithm[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]exact simulationFOS: MathematicsBrownian motionmulti-armed banditMathematics - ProbabilityRejection sampling
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Interpretation of the depths of maximum of extensive air showers measured by the Pierre Auger Observatory

2013

To interpret the mean depth of cosmic ray air shower maximum and its dispersion, we parametrize those two observables as functions of the first two moments of the ln A distribution. We examine the goodness of this simple method through simulations of test mass distributions. The application of the parameterization to Pierre Auger Observatory data allows one to study the energy dependence of the mean ln A and of its variance under the assumption of selected hadronic interaction models. We discuss possible implications of these dependences in term of interaction models and astrophysical cosmic ray sources.

[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Ciencias FísicasAstronomyAstrophysics::High Energy Astrophysical PhenomenaHadronFOS: Physical sciencesCosmic rayultra high energy cosmic rays01 natural sciencesultra high energy cosmic rayInterpretation (model theory)//purl.org/becyt/ford/1 [https]Nuclear physics0103 physical sciencesPARTICLES010306 general physicsDispersion (water waves)High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsPierre Auger ObservatoryCOMPOSICIÓN DE MASAEXPERIMENTO AUGER010308 nuclear & particles physicsPhysics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Astrophysics::Instrumentation and Methods for AstrophysicsAstronomy and AstrophysicsObservableASTROFÍSICA//purl.org/becyt/ford/1.3 [https]RAYOS COSMICOSAstronomíaENERGY COSMIC-RAYSMODELDistribution (mathematics)Air showerParticlesUltra High Energy Cosmic RaysExperimental High Energy PhysicsSIMULATIONComputingMethodologies_DOCUMENTANDTEXTPROCESSINGEnergy cosmic-raysFísica nuclearcosmic ray experimentsAstrophysics - High Energy Astrophysical PhenomenaCIENCIAS NATURALES Y EXACTASSimulationcosmic ray experiments; ultra high energy cosmic raysModel
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The Lateral Trigger Probability function for the Ultra-High Energy Cosmic Ray Showers detected by the Pierre Auger Observatory

2011

In this paper we introduce the concept of Lateral Trigger Probability (LTP) function, i.e., the probability for an Extensive Air Shower (EAS) to trigger an individual detector of a ground based array as a function of distance to the shower axis, taking into account energy, mass and direction of the primary cosmic ray. We apply this concept to the surface array of the Pierre Auger Observatory consisting of a 1.5 km spaced grid of about 1600 water Cherenkov stations. Using Monte Carlo simulations of ultra-high energy showers the LTP functions are derived for energies in the range between 1017 and 1019 eV and zenith angles up to 65. A parametrization combining a step function with an exponenti…

[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE][PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]AstronomyAstrophysics::High Energy Astrophysical PhenomenaExtensive air showerUltra-high Energy Cosmic RayMonte Carlo methodFOS: Physical sciencesCosmic rayEXTENSIVE AIR-SHOWERSTrigger performance01 natural sciences7. Clean energyUltra-high Energy Cosmic Rays; Pierre Auger Observatory; Extensive air showers; Trigger performance; Surface detector; Hybrid detectorHigh Energy Physics - ExperimentAugerNuclear physicsHigh Energy Physics - Experiment (hep-ex)0103 physical sciencesUltra-high-energy cosmic ray010303 astronomy & astrophysicsCiencias ExactasZenithCherenkov radiationUltra-High Energy Cosmic RaysPhysicsPierre Auger ObservatoryHigh Energy Astrophysical Phenomena (astro-ph.HE)010308 nuclear & particles physicsPhysicsHybrid detector[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Surface detectorAstrophysics::Instrumentation and Methods for AstrophysicsFísicaAstronomy and AstrophysicsPierre Auger ObservatoryUltra-high Energy Cosmic Rays[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Air showerExperimental High Energy PhysicsSIMULATIONComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearExtensive Air ShowersAstrophysics - High Energy Astrophysical PhenomenaRAIOS CÓSMICOS
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Atmospheric effects on extensive air showers observed with the Surface Detector of the Pierre Auger Observatory

2009

Atmospheric parameters, such as pressure (P), temperature (T) and density (ρ ∝ P/T), affect the development of extensive air showers initiated by energetic cosmic rays. We have studied the impact of atmospheric variations on extensive air showers by means of the surface detector of the Pierre Auger Observatory. The rate of events shows a ∼ 10% seasonal modulation and ∼ 2% diurnal one. We find that the observed behaviour is explained by a model including the effects associated with the variations of P and ρ. The former affects the longitudinal development of air showers while the latter influences the Molière radius and hence the lateral distribution of the shower particles. The model is val…

[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]: 96.50.sdRadiación CósmicaIMPACTAstronomyExtensive air showerFOS: Physical sciencesCosmic rayAstrophysicsExtensive air showers; UHECR; Atmosphere; Weather01 natural sciencesCOSMIC-RAY CASCADESAugerAtmosphereENERGYObservatory0103 physical sciencesExtensive air showersRECONSTRUCTION96.50.sf010303 astronomy & astrophysicsMolière radiusWeatherInstrumentation and Methods for Astrophysics (astro-ph.IM)96.50.sbPierre Auger ObservatoryPhysics010308 nuclear & particles physicsAtmosphereUHECRDetectorFísicaAstronomy and AstrophysicsPresión AtmosféricaPROFILES[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Longitudinal developmentATMOSFERA (ESTUDO)13. Climate actionExperimental High Energy PhysicsSIMULATIONComputingMethodologies_DOCUMENTANDTEXTPROCESSINGClimaAstrophysics - Instrumentation and Methods for Astrophysics
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Fracture of Honeycombs Produced by Additive Manufacturing

2022

Publisher Copyright: © 2021 World Scientific Publishing Europe Ltd. Lattice materials, such as honeycombs, are remarkable in their ability to combine high stiffness, strength and toughness at low density. In addition, the recent and pervasive development of additive manufacturing technologies makes it easier to produce these cellular materials and opens new possibilities to improve their properties by implementing small modifications to their microstructure. Such developments open new opportunities towards the design of new classes of architectured materials. For example, recent computational studies have shown that honeycombs with lattice density gradients have a fracture energy under tens…

[PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]3D printed lattices bio-inspired materials fracture mechanicsfracture mechanicsModeling and Simulation3D printed lattices[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]bio-inspired materials[PHYS.MECA.MSMECA]Physics [physics]/Mechanics [physics]/Materials and structures in mechanics [physics.class-ph]Settore ING-IND/04 - Costruzioni E Strutture AerospazialiComputer Science Applications
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