Search results for "MODELISATION"

showing 10 items of 24 documents

Laser ablation of a turbid medium : Modeling and experimental results.

2006

International audience; Q -switched Nd:YAG laser ablation of a turbid medium (paint) is studied. The optical properties (absorption coefficient, scattering coefficient, and its anisotropy) of a paint are determined with a multiple scattering model (three-flux model), and from measurements of reflection-transmission of light through thin layers. The energy deposition profiles are calculated at wavelengths of 532 nm and 1.064 $\mu$m. They are different from those described by a Lambert-Beer law. In particular, the energy deposition of the laser beam is not maximum on the surface but at some depth inside the medium. The ablated rate was measured for the two wavelengths and compared with the en…

Materials scienceInteraction laser-matiere / Ablation de peinture/ modelisationPhysics::Medical PhysicsGeneral Physics and AstronomyPhysics::Optics02 engineering and technology[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesLight scatteringlaw.invention010309 opticsOpticslaw0103 physical sciencesThin filmAbsorption (electromagnetic radiation)Laser ablationbusiness.industryScattering[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]021001 nanoscience & nanotechnologyLaserQ-switchingAttenuation coefficient0210 nano-technologybusiness
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Suitability Of Cellular Network Signaling Data For Origin-Destination Matrix Construction: A Case Study Of Lyon Region (France)

2019

TRB 2019, 98th Annual Meeting Transportation Research Board, Washigton, D.C., ETATS-UNIS, 13-/01/2019 - 17/01/2019; Spatiotemporal data, and more specifically origin-destination matrices, are critical inputs to mobility studies for transportation planning and urban management purposes. In this paper, we propose a methodology to infer origin-destination (O-D) matrices based on passively-collected cellular signaling data of millions of anonymized mobile phone users in the Rhône-Alpes region, France. This dataset, which consists of records time-stamped with users' unique identifier and tower locations, is used to first analyze the cell phone activity degree indicators of each user in orde…

PASSIVE CELLULAR SIGNALING DATAPLANIFICATIONLYONTRAITEMENT DES DONNEESZONE URBAINERESEAU DE TRANSPORTTELEPHONE MOBILERESEAU DE TELECOMMUNICATIONS[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationMODELISATIONITINERAIRE ROUTIERHOME DETECTIONORIGIN-DESTINATION MATRICESDETECTIONTRAITEMENT DU SIGNALTECHNOLOGIE SANS FILLOCALISATIONVOYAGERECUEIL DE DONNEESSIMULATION[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationTRAVEL SURVEYTRIP EXTRACTION
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Paysage visible et paysage sonore : modélisation intégrée du cadre de vie.

2018

International audience

Paysage sonore[SHS.GEO] Humanities and Social Sciences/GeographyModelisation[SHS.GEO]Humanities and Social Sciences/GeographyPaysage visibleComputingMilieux_MISCELLANEOUS[ SHS.GEO ] Humanities and Social Sciences/Geography
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Optimizing Fuel Consumption and Pollutant Emissions of a Spark Ignition Engine for Eco-driving Applications

2018

VPPC 2018, Vehicle Power and Propulsion Conference, Chicago, ETATS-UNIS, 27-/08/2018 - 30/08/2018; The transportation sector is a major contributor to both air pollution and greenhouse gas emissions. While optimizing fuel consumption reduces CO2 emissions, it can increase fuel-rich operation and cause higher HC and CO emissions. A simplified emissions model is thus introduced in order to account for the impact of air/fuel ratio on both the exhaust concentration of regulated pollutants and the catalyst efficiency. This model is used to solve the eco-driving problem with dynamic programming and a weighted objective function. An emission-centered and a consumption-centered scenario are compare…

Pollution[SPI] Engineering Sciences [physics]020209 energymedia_common.quotation_subjectAir pollution02 engineering and technologyPOLLUTANT EMISSIONSmedicine.disease_cause7. Clean energy[SPI]Engineering Sciences [physics]CONSOMMATIONPOLLUTIONSpark-ignition engine11. Sustainability0202 electrical engineering electronic engineering information engineeringmedicineNOxmedia_commonPollutantEnvironmental engineeringECO-DRIVINGMODELISATIONPREVENTIONCONDUITE (VEH)DYNAMIC PROGRAMMING13. Climate actionGreenhouse gasFuel efficiencyAIR/FUEL RATIOPOLLUTION ATMOSPHERIQUEEnvironmental scienceAir–fuel ratioEMISSIONECO CONDUITE
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WAM tomography in the southern Tyrrhenian region : petrological inferences and hypothesis on the fluid circulation in the subducting Ionian slab and …

2008

SUBDUCTIONMANTEAUTOMOGRAPHIEtomographyMAGMATISMEMODELISATIONROCHE ULTRABASIQUEDESHYDRATATIONLITHOSPHERE
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A measurement-based channel model for vehicular communications in tunnels

2014

Wireless Communications and Networking Conference (WCNC), 2014 IEEE, Istanbul, TURQUIE, 06-/04/2014 - 09/04/2014; In this paper, we present a new version of the iterative nonlinear least square approximation (INLSA) algorithm for the design of measurement-based channel simulators. The proposed method aims to match the time-variant impulse response (TVIR) of the simulation model to that of the measured channel. The propagation delays are discerned directly from the measurements, whereas the gains, the Doppler frequencies, and the phases are computed iteratively by minimizing a matching error norm. We evaluate the performance of the proposed method in terms of the approximation of the transfe…

Spatial correlationCHANNEL SOUNDINGComputer scienceMIMOITERATIVE OPTIMIZATIONPROPAGATIONCOMMUNICATIONTransfer functionPrecodingTRAITEMENT DU SIGNALTECHNOLOGIE SANS FILChannel capacityImpulse responseSimulationANTENNEEmulationOPTIMISATIONCHANNEL MODELINGMOBILE FADING CHANNELSMODELISATIONTUNNELChannel state informationTRANSMISSION DES DONNEESTUNNEL CHANNELSAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingCommunication channel
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Dynamiques de populations en milieu hétérogène : modèles et estimation de paramètres

2017

Prod 2017-344i SPE équipe EA GESTAD INRA; National audience; Cet exposé traite de (i) la modélisation de dynamiques de populations dans des paysages hétérogènes, (ii) la modélisation des paysages eux-mêmes, (iii) l'estimation des paramètres de ces modèles à partir de données d'abondance ou de données génétiques. Nous nous concentrerons sur deux grandes classes de modèles de dynamique des populations : les modèles individu-centrés basés sur des équations différentielles stochastiques, et les modèles de réaction-diffusion. Après une introduction du lien entre ces approches, 5 illustrations issues des projets sont présentées: - modélisation de paysages hétérogènes fragmentés, via l’outil MULTI…

[SDE] Environmental Sciencesmodelisation du paysage[SDV]Life Sciences [q-bio]modeles de reaction-diffusiondonnees genetiquesmodeles discrets/continus;[MATH] Mathematics [math][INFO] Computer Science [cs][SDV] Life Sciences [q-bio]equations aux derivees partiellesmodeles 2d/1d[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyapproches mecanisticostatistiques[INFO]Computer Science [cs]equations differentielles stochastiques[MATH]Mathematics [math]
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Assessing environmental noise exposure: does the size of the neighbourhood matter?

2013

International audience; In environmental epidemiology, studies rely on the quantification of subject'sexposures in a surface defined as the subject exposure area. For outdoor exposure, this area is often considered as the subject's neighbourhood. But, depending on the authors, the size and the nature of this neighbourhood differs, making difficult to compare results. In order to study the impact of the sampling surface on the noise exposure values affected to a subject, a high definition environmental noise model has been builton a middle-sized French city. Outdoor neighbourhood noise indices were computed at 10,394 residential buildings, using eight different sizes of buffers defined by di…

[SDV.EE]Life Sciences [q-bio]/Ecology environmentNeighborhoodsampling techniqueEnvironmental exposureEnvironmental exposure[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentNoise[SDV.EE] Life Sciences [q-bio]/Ecology environmentGeography13. Climate actionEnvironmental health11. SustainabilityGeneral Earth and Planetary SciencesEnvironmental noiseNoiseNeighbourhood (mathematics)CartographyExposure modelisationGeneral Environmental ScienceEnvironmental epidemiology
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Evaluation de la pertinence de l'utilisation de mélanges d'herbicides pour le contrôle et la gestion des populations d'adventices résistantes

2008

Diplôme : Dr. d'Universite

[SDV] Life Sciences [q-bio][SDE] Environmental SciencesRESISTANCE AUX HERBICIDES[SDV]Life Sciences [q-bio][SDE]Environmental SciencesGESTION DES ADVENTICESMODELISATIONDIVERSITE DES PRATIQUES CULTURALESEVOLUTIONMELANGES
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Modélisation de la dispersion de transgènes à l'échelle de paysages agricoles

2006

Rapport scientifique de fin de contrat. Appel d'offres : impact des OGM

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[INFO]Computer Science [cs][SHS] Humanities and Social Sciences[MATH] Mathematics [math][INFO] Computer Science [cs][MATH]Mathematics [math]COLZAMODELISATION DE PAYSAGESCOEXISTENCE OGM/NON OGM[SHS]Humanities and Social Sciences
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