Search results for "model."

showing 10 items of 23664 documents

THE EXPLORED ARCHITECTURE. THE VIRTUAL MODEL OF A HISTORICAL STRATIFICATION

2010

The present study deepens -through documents of historical iconography and critical studies on morphological, geometrical and structural aspects- spatial and volumetric relationships between the medieval Torre Pisana of Palazzo Reale to Palermo (also known as Palazzo dei Normanni) and the Astronomical Observatory, site on the summit of the tower. A brief historical and architectural description of the evolution of the tightly correlated structure to the historical-cultural vicissitudes, to the advancement of the scientific theories and to the innovation of the tools of observation and of survey, is a deepening of knowledge for the conservation and safeguard of the architectural testimony. T…

spatial and volumetric relationships historical stratification digital modelSettore ICAR/17 - Disegno
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On the spatial configuration of scatterers for given delay-angle distributions

2014

Published version of an article in the journal: Engineering Letters. Also available from the publisher at: http://www.engineeringletters.com/issues_v22/issue_1/EL_22_1_05.pdf. Open access This paper investigates the distribution of scatterers located around the mobile station (MS) for given delay-angle distributions. The delay-angle distribution function represents the joint probability density function (PDF) of the time-ofarrival (TOA) and angle-of-arrival (AOA). Given such a joint PDF, we first derive a general expression for the distribution of the scatterers in both polar and Cartesian coordinates. We then analyze an important special case in which the TOA and the AOA follow the multipl…

spatial configurationdelay-angle distributionscatterer distributionVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552channel modellingmultiple negative exponentialscatter diagram
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Continuum: A spatiotemporal data model to represent and qualify filiation relationships

2013

International audience; This work introduces an ontology-based spatio-temporal data model to represent entities evolving in space and time. A dynamic phenomenon generates a complex relationship network between the entities involved in the process. At the abstract level, the relationships can be identity or topological filiations. The existence of an identity filiation depends on whether the object changes its identity or not. On the other hand, topological filiations are based exclusively on the spatial component, like in the case of growth, reduction, merging or splitting. When combining identity and topological filiations, six filiation relationships are obtained, forming a second abstrac…

spatial dynamicsTheoretical computer sciencefiliationintegrity constraintsSpatio-temporal modelingspatio-temporal evolutionComputer scienceOntology (information science)Object (computer science)computer.software_genreSemantic data modelConsistency (database systems)[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Data modelData integrityI.2.4 [ARTIFICIAL INTELLIGENCE]: Knowledge Representation Formalisms and Methods - Semantic networks. I.2.3 [ARTIFICIAL INTELLIGENCE]: Deduction and Theorem Proving - Inference engines.Identity (object-oriented programming)semanticreasoningData mining[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]computerSemantic Web
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La modélisation de l'information spatio-temporelle

2012

spatial dynamicsdynamiques spatiales[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryespace-tempsfonctions urbainesspaceHistorical sciencestemporalitémodellingurban functionspace-timeespace[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistorycityGeographical information systemtempsSystème d'information géographique[SHS.STAT] Humanities and Social Sciences/Methods and statisticsvilleSciences historiques[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticstimemodélisation
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Understanding Urban Fabric with the OH_FET model based on Social Use, Space and Time

2008

The proposed principle for understanding the urban fabric is based on considering the town as a set of complex objects, taking a systemic approach. The town system used to study the urban fabric over large time spans is composed of three sub-systems relating to historical objects from the level of the excavation to that of the former urban space: function (social use), space (location, surface area and morphology) and time (dating, duration and chronology). The historical object is the analytical unit of the space studied. It is the Cartesian product of the three sets, Social use, Space and Time, from which it stems. On the basis of this process, the Historical Object (OH) is broken down in…

spatial dynamicshistorical sciences[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryspacemodellingurban functioncity[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.STAT] Humanities and Social Sciences/Methods and statisticsGIS and cartographySurvey and excavationsSpace-time[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticstimegeographical information system
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Archaedyn - Workshop 1 - The dynamics of agricultural areas in the long term

2019

spatial modellingLidarlandscape archaeologyespace rural[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistoryspatial analysisarchéologie du paysagerural spaceprospectionfieldwalking surveyanalyse spatialemodélisation
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Archaedyn - Workshop 1 - The dynamics of agricultural areas in the long term

2019

Document destiné à être publié dans l’ouvrage ARCHAEDYN. Dynamique spatiale des territoires de la Préhistoire au Moyen Âge, auteurs : BERTONCELLO, F., FAVORY, F., GAUTHIER, E., GEORGES-LEROY, M., NUNINGER, L., POIRIER, N., WELLER, O., à paraître aux PUFC, Besançon, collection Cahiers de la MSHE, série Dynamiques territoriales.

spatial modellingLidarlandscape archaeologyespace ruralspatial analysisarchéologie du paysage[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryrural spaceprospectionfieldwalking surveyanalyse spatialemodélisation
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Sharing and disseminating knowledge of advanced spatial modelling. Presentation of an action carried out by the European research group S4 (spatial s…

2006

International audience; The European research group S4 (Spatial simulation for social sciences) gathers researchers in geography as well as in geographical information sciences coming from about 30 European research centres. One action of the European research group S4 consists in sharing and disseminating knowledge of advanced spatial modelling. We propose here to describe several aspects of this action that are of interest considering the objectives of the CAENTI. The first aim of the action is to improve the diffusion of the results of the research in advanced spatial modelling, particularly in direction of regional and urban management and planning. The second aim is the development of …

spatial simulationspatial modellingInternet[SHS.SOCIO]Humanities and Social Sciences/Sociology[SHS.SOCIO] Humanities and Social Sciences/Sociology[SHS.GEO] Humanities and Social Sciences/Geographysimulation spatialeknowledge dissemination[ SHS.SOCIO ] Humanities and Social Sciences/Sociology[SHS.GEO]Humanities and Social Sciences/Geographygeography[ SHS.HISPHILSO ] Humanities and Social Sciences/History Philosophy and Sociology of Sciences[ SHS.GEO ] Humanities and Social Sciences/Geographygéographie[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of SciencesTerritorial Intelligence[SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of SciencesComputingMilieux_MISCELLANEOUSIntelligence territorialeIntelligence Territorial
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Bayesian temporal and spatio-temporal Markov switching models for the detection of influenza outbreaks

2017

Influenza is a disease which affects millions of people every year and causes hundreds of thousends of deads every year. This disease causes substantial direct and indirect costs every year. The influenza epidemic have a particular behavior which shapes the statistical methods for their detection. Seasonal epidemics happen virtually every year in the temperate parts of the globe during the cold months and extend throughout whole regions, countries and even continents. Besides the seasonal epidemics, some nonseasonal epidemics can be observed at unexpected times, usually caused by strains which jump the barrier between animals and humans, as happened with the well known Swine Flu epidemic, w…

spatio-temporal models:MATEMÁTICAS::Estadística ::Técnicas de inferencia estadística [UNESCO]outbreaks detectionbayesianUNESCO::MATEMÁTICAS::Estadística ::Técnicas de inferencia estadísticamarkov switching modelsinfluenza
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SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra

2017

Progress in advanced radiative transfer models (RTMs) led to an improved understanding of reflectance (R) and sun-induced chlorophyll fluorescence (SIF) emission throughout the leaf and canopy. Among advanced canopy RTMs that have been recently modified to deliver SIF spectral outputs are the energy balance model SCOPE and the 3D models DART and FLIGHT. The downside of these RTMs is that they are computationally expensive, which makes them impractical in routine processing, such as scene generation and retrieval applications. To bypass their computational burden, a computationally effective technique has been proposed by only using a limited number of model runs, called emulation. The idea …

spectroscopy010504 meteorology & atmospheric sciencesComputer sciencesun-induced fluorescence0211 other engineering and technologiesEnergy balanceemulation02 engineering and technology01 natural scienceschemistry.chemical_compoundradiative transfer modellingSCOPERadiative transferlcsh:Sciencescene generationChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesEmulationArtificial neural networkFluorescencemachine learningLatin hypercube samplingchemistryChlorophyllGeneral Earth and Planetary Scienceslcsh:QAlgorithmRemote Sensing
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