Search results for "Data model"

showing 10 items of 162 documents

Theoretical space-time modelling of the diffusion of raw materials and manufactured objects

2013

International audience; Workgroup 3 of ArchaeDyn II programme focuses its study on the diffusion systems of ancient products. In order to be able to structure data in GIS in an appropriate way, we propose a general theoretical modelling integrating the different components of the diffusion systems, and identifying their interactions and the factors affecting the location of products and their transfers. Three dimensions are considered: the Time, the Space and the Function of places. A product's pathway can be apprehended efficiently by distinguishing spatial entities as well as functional entities. This modelling highlights the fact that the approach through the simple notion of "site" is n…

function[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistoryTheoretical modelling[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistorylife-cycleplaceconceptual data modelgeodatabasespacediffusion systemstime
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E-maintenance platform: a business process modelling approach

2014

Las tecnologías de la información y la comunicación (TIC) se utilizan cada vez más en la sociedad y en los negocios. Las TIC se han convertido en un elemento clave para el desarrollo empresarial y la mejora de las actividades en todos los departamentos de una organización. Análogamente, la creciente importancia de los Sistemas de Gestión de Mantenimiento asistido por Ordenador (CMMS), Mantenimiento Basado en la Condición (CBM), y la aplicación de dispositivos remotos y funciones como el e-mantenimiento, han abierto grandes posibilidades para la optimización del mantenimiento. Estas técnicas han dado lugar a la aparición de retos tecnológicos, tales como la interoperabilidad entre diferentes…

lcsh:TN1-9970209 industrial biotechnologyEngineeringCBMInteroperabilityContext (language use)02 engineering and technologylcsh:Technology020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringlcsh:Mining engineering. MetallurgyE-Maintenancebusiness.industrylcsh:TCMMS CBM E-Maintenance UML MIMOSACondition-based maintenanceGeneral EngineeringCMMSBusiness process modelingUMLEngineering managementData modelInformation and Communications TechnologyComputerized maintenance management systemSystems architectureSystems engineering020201 artificial intelligence & image processingbusinessMIMOSA.
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Estimating Programming Exercise Difficulty using Performance Factors Analysis

2020

This Work in Progress Paper studies student and exercise modelling based on pass/fail log data gathered from an introductory programming course. Contemporary education capitalizes on the communications technology and remote study. This can create distance between the teacher and students and the resulting lack of awareness of the difficulties students encounter can lead to low student satisfaction, dropout and poor grades. In many cases, various technological solutions are used to collect individual exercise submissions, but there are little resources for indexing or modelling the exercises in depth. Exercise specific feedback from students may not be easily obtainable either. In the presen…

opintomenestysmallintaminenopiskelijatComputer science05 social scienceslearning factors analysis050301 education020207 software engineering02 engineering and technologytietotekniikkaData scienceData modelingperformance factors analysisInformation and Communications Technologyintelligent tutortyytyväisyysexercise modellingopiskelu0202 electrical engineering electronic engineering information engineeringComputingMilieux_COMPUTERSANDEDUCATIONohjaus (neuvonta ja opastus)0503 educationarviointiDropout (neural networks)
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Practices and Infrastructures for Machine Learning Systems : An Interview Study in Finnish Organizations

2022

Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems. Peer reviewed

organizationscomputational modelingliiketoimintaprosessitGeneral Computer Scienceinterviewsbusiness practicesohjelmistotuotantoorganisaatiotmonitorointitekoäly113 Computer and information sciencesartificial intelligencelearning systemsdata modelsmonitoringmachine learningkoneoppiminenälytekniikkahaastattelututkimussoftware engineering
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A spatial origin‐destination approach for the analysis of local tourism demand in Italy

2023

The article assesses the competitiveness of tourist destinations, while accounting for spatial features of tourism and information on both the origin and the destination of tourists. Using a dynamic spatial panel data model with common factors within the origin-destination framework, it explores unilateral inbound tourism flows in 110 Italian regions from 23 European origin countries over the period 2004-2017. The estimation and test results confirm the need to consider this advanced spatial econometric model. In an empirical application measuring tourism resilience of regions based on this model, the results demonstrate the importance of promoting coordinated actions between neighbouring d…

origin-destination approachSettore SECS-S/03 - Statistica EconomicaGeography Planning and Developmentdestination competitivenesstourism resilienceEnvironmental Science (miscellaneous)dynamic spatial panel data modelPapers in Regional Science
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Simulating retail locations using GIS and an agents decision model for urban planning

1998

Chinese University of Hong Kong, IGU, Commission on Modelling Geographical Systems; International audience; This paper focuses on a methodological approach which intends to simulate subsequent transformations of urban patterns within a GIS. We describe conceptual models of data and process dedicated to a problem interfacing actors and territory: location strategy of retail outlets.

retailingdata modellingComputingMilieux_THECOMPUTINGPROFESSION[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyGISGeneralLiterature_MISCELLANEOUSlocation[ SHS.GEO ] Humanities and Social Sciences/Geography
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On the use of multi-temporal series of COSMO-SkyMed data for LANDcover classification and surface parameter retrieval over agricultural sites

2011

The objective of this paper is to report on the activities carried out during the first year of the Italian project “Use of COSMO-SkyMed data for LANDcover classification and surface parameters retrieval over agricultural sites” (COSMOLAND), funded by the Italian Space Agency. The project intends to contribute to the COSMO-SkyMed mission objectives in the agriculture and hydrology application domains.

retrieval algorithmsContextual image classificationbusiness.industryCOSMO-SkyMedCOSMO-SkyMed classification retrieval algorithmsClassificationData modelingStatistical classificationHydrology (agriculture)AgricultureClassification; COSMO-SkyMed; retrieval algorithmsEnvironmental scienceTerrain mappingbusinessRetrieval algorithmRemote sensing
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Two‐sample problems in statistical data modelling

2010

A common problem in mathematical statistics is to check whether two samples differ from each other. From modelling point of view it is possible to make a statistical test for the equality of two means or alternatively two distribution functions. The second approach allows to represent the two‐sample test graphically. This can be done by adding simultaneous confidence bands to the probability‐probability (P — P) or quantile‐quantile (Q — Q) plots. In this paper we compare empirically the accuracy of the classical two‐sample t‐test, empirical likelihood method and several bootstrap methods. For a real data example both Q — Q and P — P plots with simultaneous confidence bands have been plotted…

simultaneous bandsMathematical statisticstwo‐sample problemt‐testempirical likelihoodData modelingquantile‐quantile plotEmpirical likelihoodDistribution functionprobability‐probability plotModeling and SimulationStatisticsQA1-939Point (geometry)Two sampleQ–Q plotAnalysisMathematicsStatistical hypothesis testingMathematicsMathematical Modelling and Analysis
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Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition

2019

The characterization of dynamic electrophysiological brain activity, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method with tensor decomposition for measuring the task-induced oscillations in the human brain using electroencephalography (EEG). The time frequency representation of source-reconstructed singletrail EEG data constructed a third-order tensor with three factors of time ∗ trails, frequency and source points. We then used a non-negative Canonical Polyadic decomposition (NCPD) to identify the temporal, spectral and spatial changes in electrophysiological brain activity. We validate …

source localizationoscillatorsBrain activity and meditationComputer scienceneural oscillationsPhysics::Medical Physics02 engineering and technologyElectroencephalographyTask (project management)03 medical and health sciencestensor decomposition0302 clinical medicineTensor (intrinsic definition)0202 electrical engineering electronic engineering information engineeringmedicineEEGTensorta515ta113Quantitative Biology::Neurons and Cognitionmedicine.diagnostic_testbusiness.industrybrain modelingPattern recognitionHuman brainoskillaattoritdata modelsElectrophysiologymedicine.anatomical_structuretask analysis020201 artificial intelligence & image processingArtificial intelligencebusinesstietomallitelectroencephalography030217 neurology & neurosurgeryICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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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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