Search results for "Modélisation"

showing 10 items of 222 documents

Introducing the Human Factor in Predictive Modelling: a Work in Progress

2012

International audience; In this paper we present the results of a study into integrating socio-cultural factors into predictive modelling. So far, predictive modelling has largely neglected the social and cultural dimensions of past landscapes. To maintain its value for archaeological research, therefore, it needs new methodologies, concepts and theories. For this study, we have departed from the methodology developed in the 1990s during the Archaeomedes Project. In this project, cross-regional comparisons of settlement location factors were made by analyzing the environmental context of Roman settlements in the French Rhône Valley. For the current research, we expanded the set of variables…

010506 paleontologyOperations researchregional comparison[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer sciencefacteurs socio-culturelsSubject (philosophy)0211 other engineering and technologies02 engineering and technology01 natural sciencesdiachronic comparisonCultural heritage managementcomparaison diachronique0601 history and archaeology0105 earth and related environmental sciences021101 geological & geomatics engineeringcomparaison régionale[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory060102 archaeologyPredictive modellingRoman period.Cultural resources managementpériode romaine.06 humanities and the artsWork in processPopularityEpistemologysocio-cultural factors[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryCriticismArchaeological heritageModélisation prédictivePredictive modelling
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Economic modelling as a tool to support macroalgal bloom management: a case study (Sacca di Goro, Po river delta)

2003

During the last 20, years, intensive mollusk farming has been developed in coastal waters, mostly in sheltered bays and lagoons. Often, mollusk stocks are threatened by frequent anoxic events from macroalgal blooms. Here, a decision support tool is described to select the optimal short-term strategy to control algal biomasses. Even though long-term and detailed studies of the lagoon systems are required to provide reliable, biologically based policies, we have here developed a simplified analysis that overlooks most of the ecological complexity, but explicitly includes environmental variability and uncertainty in parameter estimation in the economic assessment of the performances of differe…

0106 biological sciences010501 environmental sciencesAquatic Sciencealgal bloom managementOceanography01 natural sciencesAquaculture14. Life underwaterGestion d'une floraison macroalgalebioeconomic analysis0105 earth and related environmental sciencesBiomass (ecology)geographyRiver deltageography.geographical_feature_categorybusiness.industryEcologyIntensive farming010604 marine biology & hydrobiologyAnalyse bio-économiqueUlva rigidaAnoxic watersModélisation stochastiqueFisheryTapes philippinarumAgricultureThreatened speciesEnvironmental sciencestochastic modellingbusinessBloomOceanologica Acta
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An ecological multi-Level theory of competition for resources used to analyse density-dependence effects in fruit production

2014

International audience; Lescourret and Génard (2003) developed a multi-level theory of competition for resources applied to fruit production, considering that any collection of unit parts (cells or seeds in a fruit, fruits in an infructescence or in a tree...) can form a population and the population is subject to competition, whatever the level of organization. The principles of the theory are that the mass of each unit decreases when the number of units in the population increases and that the total mass of the population increases as the number of units increases until it reaches a maximum, after which it decreases. A three-parameter model based on that theory was used to analyse the lev…

0106 biological sciences[SDE] Environmental SciencesPomologymodèle multicouchesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]PopulationCell volumepopulationpomologymasse végétaleHorticultureculture fruitière01 natural sciencesCompetition (biology)modellingProduction (economics)[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyeducationdensité dépendanceComputingMilieux_MISCELLANEOUSMathematicsmedia_commonmodélisationeducation.field_of_study[ SDV ] Life Sciences [q-bio]EcologyPopulation sizefood and beveragesmésocarpemodelingfruitcellproduction fruitière010601 ecology[SDV] Life Sciences [q-bio]HorticultureDensity dependencedensity dependencegénotype végétalInfructescence[SDE]Environmental Sciencesmassmulti‐levelcompetition010606 plant biology & botany
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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GeneSys-Beet: A model of the effects of cropping systems on gene flow between sugar beet and weed beet

2008

A weedy form of the genus Beta, i.e. Beta vulgaris ssp. vulgaris (hence ''weed beet'') frequently found in sugar beet is impossible to eliminate with herbicides because of its genetic proximity to the crop. It is presumed to be the progeny of accidental hybrids between sugar beet (ssp. vulgaris) and wild beet (ssp. maritima), or of sugar beet varieties sensitive to vernalization and sown early in years with late cold spells. In this context, genetically modified (GM) sugar beet varieties tolerant to non-selective herbicides would be interesting to manage weed beet. However, because of the proximity of the weed to the crop, it is highly probable that the herbicide-tolerance transgene would b…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_890PopulationSoil ScienceContext (language use)H60 - Mauvaises herbes et désherbageFlux de gènesGenetically modified01 natural sciencesF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_9000024Crophttp://aims.fao.org/aos/agrovoc/c_37331http://aims.fao.org/aos/agrovoc/c_34285[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_2018Cropping systemeducation2. Zero hungereducation.field_of_studybiologyU10 - Informatique mathématiques et statistiquesModélisation des culturesfungifood and beverages04 agricultural and veterinary sciences15. Life on landbiology.organism_classificationWeed controlGene flowTillagePratique culturalehttp://aims.fao.org/aos/agrovoc/c_8347AgronomyOrganisme génétiquement modifié040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetBeta vulgarisWeedAgronomy and Crop ScienceMauvaise herbeModelCropping system010606 plant biology & botanyField Crops Research
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Feasibility Analysis For Constrained Model Predictive Control Based Motion Cueing Algorithm

2019

International audience; This paper deals with motion control for an 8-degree-of-freedom (DOF) high performance driving simulator. We formulate a constrained optimal control that defines the dynamical behavior of the system. Furthermore, the paper brings together various methodologies for addressing feasibility issues arising in implicit model predictive control-based motion cueing algorithms.The implementation of different techniques is described and discussed subsequently. Several simulations are carried out in the simulator platform. It is observed that the only technique that can provide ensured closed-loop stability by assuring feasibility over all prediction horizons is a braking law t…

0209 industrial biotechnology021103 operations researchComputer scienceDriving simulationControl (management)0211 other engineering and technologiesStability (learning theory)Driving simulator02 engineering and technologyModélisation et simulation [Informatique]Motion controlOptimal control[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAutomatique / Robotique [Sciences de l'ingénieur]Motion (physics)[SPI.AUTO]Engineering Sciences [physics]/AutomaticModel predictive controlAcceleration020901 industrial engineering & automationMotion Cueing AlgorithmAlgorithmModel Predictive Control
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A systems-wide understanding of photosynthetic acclimation in algae and higher plants

2017

The ability of phototrophs to colonise different environments relies on robust protection against oxidative stress, a critical requirement for the successful evolutionary transition from water to land. Photosynthetic organisms have developed numerous strategies to adapt their photosynthetic apparatus to changing light conditions in order to optimise their photosynthetic yield, which is crucial for life on Earth to exist. Photosynthetic acclimation is an excellent example of the complexity of biological systems, where highly diverse processes, ranging from electron excitation over protein protonation to enzymatic processes coupling ion gradients with biosynthetic activity, interact on drasti…

0301 basic medicine[SDV.BIO]Life Sciences [q-bio]/BiotechnologyPhysiologyAcclimatizationContext (language use)PhD traininginterdisciplinary trainingPlant Science: Biochemistry biophysics & molecular biology [F05] [Life sciences]BiologyacclimationPhotosynthesisAcclimatizationModels Biologicalmodelling03 medical and health sciencesAlgaeChlorophytaapplication industrielle[SDV.BV]Life Sciences [q-bio]/Vegetal Biologymathematical modellingPhotosynthesis: Biochimie biophysique & biologie moléculaire [F05] [Sciences du vivant]biodiversitymodélisationmicro-alguePhototrophphotosynthetic systemEcologyNon-photochemical quenchingSystems Biologyacclimatation photosynthétiquephotosynthetic optimisationPlanktonPlantsanalyse rétrospectivebiology.organism_classificationindustrial applicationEuropean Training Network030104 developmental biologyAcclimation; European Training Network; PhD training; biodiversity; interdisciplinary training; mathematical modelling; microalgal cultivation; non-photochemical quenching; photosynthetic optimisationPhotosynthetic acclimationadaptation à la lumièremicroalgal cultivationappareil photosynthétiqueBiochemical engineeringnon-photochemical quenching
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Les mobilités urbaines et leur impact sur l’exposition au bruit : simulation de scénarios prospectifs appliqués à la ville de Besançon

2015

Le modele MobiSim a teste le lien entre la modification de l’offre de transport et l’exposition au bruit dans ses dimensions spatiales et temporelles, le test etant applique a l’agglomeration de Besancon. C’est la desynchronisation des activites, le report modal et les changements dans les grilles horaires des transports collectifs qui produisent des effets reduisant ou bien augmentant l’exposition au bruit selon les lieux et les moments, les populations concernees etant elles-memes socialement diversifiees.

050210 logistics & transportationmobilité quotidienne020209 energy[SHS.GEO] Humanities and Social Sciences/Geography05 social sciences[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studies[ SHS.GEO ] Humanities and Social Sciences/Geography[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie[SHS.ENVIR] Humanities and Social Sciences/Environmental studies[SHS.ENVIR]Humanities and Social Sciences/Environmental studies0502 economics and business0202 electrical engineering electronic engineering information engineeringmodèle multi-agent[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieévaluation de l'exposition au bruitpollution sonoreComputingMilieux_MISCELLANEOUSmodélisation
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Microbiology and atmospheric processes: research challenges concerning the impact of airborne micro-organisms on the atmosphere and climate

2011

 Cet article a fait l'objet d'une discussion dans "Morris, C. E., Sands, D. C., Bardin, M., Jaenicke, R., Vogel, B., Leyronas, C., Ariya, P. A., and Psenner, R.: Microbiology and atmospheric processes: an upcoming era of research on bio-meteorology, Biogeosciences Discuss., 5, 191-212, doi:10.5194/bgd-5-191-2008, 2008."; International audience; For the past 200 years, the field of aerobiology has explored the abundance, diversity, survival and transport of micro-organisms in the atmosphere. Micro-organisms have been explored as passive and severely stressed riders of atmospheric transport systems. Recently, an interest in the active roles of these micro-organisms has emerged along with prop…

AIRBORNE DISSEMINATION010504 meteorology & atmospheric sciencesMeteorologyAEROBIOLOGY;BIOLOGICAL AEROSOLS;BIO-METEOROLOGY;TRANSPORT;AIRBORNE DISSEMINATION;BIOLOGICAL PROPERTIES;ATMOSPHERIC PROCESSES;BIOSPHERE;CLIMATE CHANGEEarth scienceBiomeCLIMATE CHANGEBiological particleslcsh:Lifemodélisation spatialeBIOSPHERE010501 environmental sciencesBiologyAtmosphere (architecture and spatial design)01 natural sciencesBIO-METEOROLOGYATMOSPHERIC PROCESSESBIOLOGICAL AEROSOLSlcsh:QH540-549.5AEROBIOLOGYddc:550microbiologieEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface Processeschangement climatiquemicroorganismeBIOLOGICAL PROPERTIESclimatlcsh:QE1-996.5microorganisme aerienRadiative forcingTRANSPORT[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biomolecules [q-bio.BM]lcsh:GeologyEarth sciencesatmosphèrelcsh:QH501-53113. Climate actionAtmospheric chemistrylcsh:EcologyMetabolic activityBiogeosciences
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Degradation mechanisms under hydro-thermo-mechanical loads of natural fibers-reinforced biocomposites : application to the development of lightweight…

2018

With the current environmental concerns, research turns to alternative solutions to synthetic fibres. Vegetal fibers appears as good candidates, with good mechanical properties. However, their low durability is a major issue, especially when the composites are exposed to hydro(hygro)thermal loadings.The purpore of this thesis is to analyse and understand the degradation mechanisms when hydro-thermo-mechanical loadings are applied, in order to implement a predictive modelisation of the composite durability.The manufacturing process wasstudied and optimised to produce reproducible and strong composites. Two materials were produced. Their only difference is their volumetric fiber contents (37.…

AgeingModélisationModelisationFlax fibresFibres de lin[SPI.GCIV.EC] Engineering Sciences [physics]/Civil Engineering/Eco-conception[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph][SPI.MAT] Engineering Sciences [physics]/Materials[SPI.MECA] Engineering Sciences [physics]/Mechanics [physics.med-ph]VieillissementFatigue[SPI.MAT]Engineering Sciences [physics]/Materials[SPI.GCIV.EC]Engineering Sciences [physics]/Civil Engineering/Eco-conception
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