Search results for "driven"

showing 10 items of 224 documents

Domain knowledge integration and semantical quality management -A biology case study

2008

International audience; The management of semantical quality is a major challenge in the context of knowledge integration. In this paper, we describe a new approach to constraint management that emphasizes constraint traceability when moving from the semantical level to the operational one.Our strategy for management of semantical quality is related to a metamo-deling-based approach to knowledge integration. We carry out knowledge integration “on the fly” by using transformations applied to models belonging to our metamodeling architecture. The resulting integrated models access available resources through web services whose input and output parameters are guarded by constraints. Integrated…

business.industryComputer science020207 software engineeringContext (language use)02 engineering and technologycomputer.software_genreMetamodelingConstraint (information theory)Knowledge integration020204 information systemsTheory of constraints0202 electrical engineering electronic engineering information engineeringDomain knowledge[INFO]Computer Science [cs]Data miningWeb serviceModel-driven architectureSoftware engineeringbusinesscomputercomputer.programming_language
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Facial animation by reverse morphing on a sequence of real images: application to film and video production

2000

Research on facial animation is as vast as the many interests and needs that can be found in the general public, television or film production. For Mac Guff Ligne, a company specialized in the fabrication of special effects and computer generated images, the needs and the constraints on such a topic are very big. Morphing is often used in facial animation, and consists in mixing several expression models. As we will discover, the advantages in using morphing are numerous, but the animation workload remains long and time-consuming. Our goal is to propose a fast and reliable animation tool that is based on the same morphing technique with which the graphic artists are familiar. Our method is …

business.industryComputer scienceFacial motion captureComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAnimationMotion captureGeneralLiterature_MISCELLANEOUSComputer graphics (images)Interactive skeleton-driven simulationSkeletal animationComputer visionArtificial intelligenceElectrical and Electronic EngineeringPhysically based animationbusinessComputer facial animationComputer animationComputingMethodologies_COMPUTERGRAPHICSAnnales Des Télécommunications
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Sub-symbolic Mapping of Cyc Microtheories in Data-Driven “Conceptual” Spaces

2007

The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of subsymbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he want…

business.industryComputer scienceSimilarity (psychology)Conceptual spaceArtificial intelligenceOntology (information science)Layer (object-oriented design)businesscomputer.software_genrecomputerNatural language processingData-driven
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On marrying ontological and metamodeling technical spaces

2007

In software engineering, the use of models and metamodeling approaches (e.g., MDA with MOF/UML) for purposes such as software design or software validation is an established practice. Ontologies constitute domain models formalized using expressive logic languages for class definitions and rules. Hence, when seen from an abstract point of view, the two paradigms and their various technological spaces seem closely related. However, in the state-of-the-art research and practice the two technologies are just beginning to converge and the relationship between the two is still under exploration. In this paper, we give an outline of current ontology technologies, such as the Semantic Web standards…

business.industryComputer sciencecomputer.internet_protocolWeb Ontology LanguageOntology (information science)OWL-SMetamodelingUnified Modeling LanguageSystems engineeringDomain engineeringIDEF5Model-driven architectureSoftware engineeringbusinesscomputercomputer.programming_language
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Spatial Demixing of Ring and Chain Polymers in Pressure-Driven Flow

2019

We investigate mixtures of ring and linear polymers in solution at various number ratios, ranging from pure chains to pure rings, and at densities around the overlap concentration. In bulk and at r...

chemistry.chemical_classification0303 health sciencesMaterials scienceMathematics::Commutative AlgebraPolymers and PlasticsLinear polymerOrganic ChemistryPressure-driven flow02 engineering and technologyPolymer021001 nanoscience & nanotechnologyRing (chemistry)Inorganic Chemistry03 medical and health sciencesChain (algebraic topology)chemistryChemical physicsMaterials Chemistry0210 nano-technology030304 developmental biologyMacromolecules
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Reactivity of bis(cyclohexylammonium) 4-nitrophenylphosphate with SnMe3 Cl. X-ray structure of 4-NO2 C6 H4 PO4(SnMe3)2·H2 O

2014

The reaction of bis(cyclohexylammonium) 4-nitrophenylphosphate with Me3 SnCl (1:2) under reflux in ethanol yielded the title compound 4-NO2 C6 H4 PO4(SnMe3)2H2 O (1). The X-ray crystallographic analysis achieved on single crystals obtained by slow evaporation at room temperature revealed the formation of an unexpected supramolecular coordination network. The elementary building block can be viewed as two Me3 Sn moieties linked by a bridging 4-nitrophenylphosphate ligand. The two tin atoms are five-coordinated and describe a trans-Me3 SnO2 geometry in a trigonal bipyramidal arrangement. However, the Sn atoms are distinct, exhibiting two different environments. Thus, one is linked to two axia…

coordination-driven self-assemblyHydrogen bondChemistryStereochemistryIntermolecular forceMetals and AlloysSupramolecular chemistryX-raychemistry.chemical_elementGeneral Chemistryhydrogen bondingCondensed Matter PhysicsChemistryCrystallographyX-ray crystallographyAtomtrimethyltin(iv) 4-nitrophenylphosphatoMaterials ChemistryMoleculeTinQD1-999x-ray crystallographyMain Group Metal Chemistry
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DEMAND DRIVEN SUPPLY CHAIN ED INNOVAZIONE: IL SISTEMA LOGISTICO-PRODUTTIVO PER LA SODDISFAZIONE DEI BISOGNI DEL CLIENTE

2008

La produzione di beni e servizi, per il soddisfacimento dei bisogni, con il oiettarsi nel tempo e nello spazio, determina incertezza e rischi in vario odo correlati a due diversi aspetti: uno di carattere tecnico inerente la ma della capacità produttiva di cui disporre, l’altro di natura più icamente economica, dovuto al fatto che i bisogni, che le produzioni sono stinate a soddisfare, si proiettano nel futuro con caratteri di significativa utabilità e variabilità2 . Anche se l’impresa dedica rilevanti risorse per la evisione della domanda, al fine di allinearla con l’offerta, non sempre iene i risultati attesi. Nonostante i cospicui investimenti, i sistemi di evisione non riescono infatti …

dEAMND DRIVEN SCM INNOVAZIONESettore SECS-P/08 - Economia E Gestione Delle Imprese
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Barriers to Data-Driven Decision-Making Among Online Retailers

2022

This study investigates the barriers to data-driven decision-making among online retailers. The study seeks to deepen the previous knowledge by considering data-driven decision-making as a process and identifying the critical obstacles within its different (6) stages. Qualitative interview data (N=10) collected from Finnish e-commerce professionals are analyzed. The findings show that barriers to data-driven decision-making occur at all stages during the decision-making process. The barriers are mostly related to the employees’ and the management’s expertise in collecting, organizing, analyzing, summarizing, synthesizing, and prioritizing data. In addition, attitudinal, technical, and strat…

data-driven decision-makingtietoperustainen johtaminenasiakkaatonline retailersverkkokauppapäätöksentekovähittäiskauppiaate-commercekuluttajakäyttäytyminendata analyticsesteetyrityksetasiantuntijuus
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Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

2019

In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results. peerReviewed

data-driven optimizationMathematical optimizationOptimization problemComputer scienceboreal forest managementComputer Science::Neural and Evolutionary Computationpäätöksenteko0211 other engineering and technologiesMathematicsofComputing_NUMERICALANALYSISdecision maker02 engineering and technologypreference informationSpace (commercial competition)Multi-objective optimizationComputingMethodologies_ARTIFICIALINTELLIGENCEData-drivenklusteritoptimointi0202 electrical engineering electronic engineering information engineeringCluster analysis021103 operations researchsurrogatesComputingMethodologies_PATTERNRECOGNITIONboreaalinen vyöhyke020201 artificial intelligence & image processingmetsänhoitoCluster basedclustering
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Data-Driven Evolutionary Optimization: An Overview and Case Studies

2019

Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…

data-driven optimizationMathematical optimizationOptimization problemmodel managementevoluutiolaskenta02 engineering and technologymatemaattinen optimointiEvolutionary computationTheoretical Computer ScienceData modelingData-drivenModel managementkoneoppiminenComputational Theory and MathematicsdatatiedeoptimointiTaxonomy (general)Constraint functionsalgoritmit0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingsurrogateevolutionary algorithmsSoftware
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