Search results for "layer"

showing 10 items of 2667 documents

Implementation Aspects of 3D Lattice-BGK: Boundaries, Accuracy, and a New Fast Relaxation Method

1999

In many realistic fluid-dynamical simulations the specification of the boundary conditions, the error sources, and the number of time steps to reach a steady state are important practical considerations. In this paper we study these issues in the case of the lattice-BGK model. The objective is to present a comprehensive overview of some pitfalls and shortcomings of the lattice-BGK method and to introduce some new ideas useful in practical simulations. We begin with an evaluation of the widely used bounce-back boundary condition in staircase geometries by simulating flow in an inclined tube. It is shown that the bounce-back scheme is first-order accurate in space when the location of the non…

Numerical AnalysisPhysics and Astronomy (miscellaneous)Iterative methodApplied MathematicsMathematical analysisReynolds numberGeometryDifferent types of boundary conditions in fluid dynamicsBoundary layer thicknessComputer Science ApplicationsPhysics::Fluid DynamicsComputational MathematicsBoundary conditions in CFDsymbols.namesakeModeling and SimulationFluid dynamicssymbolsNo-slip conditionBoundary value problemMathematics
researchProduct

Classification and retrieval on macroinvertebrate image databases

2011

Aquatic ecosystems are continuously threatened by a growing number of human induced changes. Macroinvertebrate biomonitoring is particularly efficient in pinpointing the cause-effect structure between slow and subtle changes and their detrimental consequences in aquatic ecosystems. The greatest obstacle to implementing efficient biomonitoring is currently the cost-intensive human expert taxonomic identification of samples. While there is evidence that automated recognition techniques can match human taxa identification accuracy at greatly reduced costs, so far the development of automated identification techniques for aquatic organisms has been minimal. In this paper, we focus on advancing …

NymphAquatic OrganismsInsectaDatabases FactualComputer scienceBayesian probabilityta1172Health InformaticsMachine learningcomputer.software_genreData retrievalRiversSupport Vector MachinesImage Processing Computer-AssistedAnimalsMultilayer perceptronsEcosystemta113Network architectureBenthic macroinvertebrateta112Artificial neural networkta213business.industryBayesian networkBayes TheoremPerceptronClassificationRadial basis function networksComputer Science ApplicationsSupport vector machineBiomonitoringBayesian NetworksData miningArtificial intelligenceNeural Networks ComputerbusinesscomputerClassifier (UML)AlgorithmsEnvironmental MonitoringComputers in Biology and Medicine
researchProduct

Harnessing stakeholder input on Twitter: A case study of short breaks in Spanish tourist cities

2019

Abstract Knowledge of how destination marketing organisations (DMOs) use Twitter is still limited. This study aimed to assess how DMOs' Twitter activity affects hotel occupancy in short-break holidays. Key dimensions of Twitter that may affect hotel occupancy in tourist destinations were first identified. A longitudinal study using data for 10 Spanish DMOs was conducted to forecast hotel occupancy. Twitter application programming interfaces were used to gather data on tweets by DMOs and retweets and likes by users. Text mining was used to analyse the tweets by DMOs, differentiating between tweets related to events, attractions, socialisation, and marketing. Data were analysed using artifici…

OccupancyEvent (computing)Computer scienceStrategy and Management05 social sciencesStakeholderTransportationAdvertisingDevelopmentDestination marketingTourist attractionTourism Leisure and Hospitality ManagementMultilayer perceptron0502 economics and businessTourist destinations050211 marketingInformationSystems_MISCELLANEOUS050212 sport leisure & tourismTourismTourism Management
researchProduct

Mycotoxins and mycotoxigenic moulds in nuts and sunflower seeds for human consumption

1991

A survey was carried out to obtain data on the occurrence of mycotoxins and the mycotoxin-producing potential of fungi isolated from nuts (almonds, peanuts, hazelnuts, pistachio nuts) and sunflower seeds in Spain. Thin-layer chromatography was used to separate the toxins. Aflatoxins were detected in one sample of almonds (95 ppb aflatoxin B1 and 15 ppb aflaxtoxin B2) and in one sample of peanuts at a level below 10 ppb of aflatoxin B1. 100% of samples showed variable incidence of fungal contamination. The predominant fungi present in samples were Penicillium spp, Aspergillus niger, A. flavus, A. glaucus and Rhizopus spp. The results showed that isolates of different species were able to pro…

Ochratoxin AAflatoxinVeterinary (miscellaneous)Applied Microbiology and BiotechnologyMicrobiologyPatulinchemistry.chemical_compoundPenicillic acidBotanyHumansNutsFood scienceMycotoxinAnalysis of VariancebiologyFungitechnology industry and agriculturefood and beveragesMycotoxinsbiology.organism_classificationCitrininchemistrySeedsPenicilliumFood MicrobiologyHelianthusChromatography Thin LayerAgronomy and Crop ScienceSterigmatocystinMycopathologia
researchProduct

Digestion of DNA regions to discriminate ochratoxigenic and non-ochratoxigenic strains in the Aspergillus niger aggregate

2005

Abstract Aspergillus strains belonging to the Aspergillus niger aggregate, either isolated from Italian grapes or received from public collections, were analysed in order to discriminate between the ochratoxin A (OTA) producing and the non-producing strains by means of the analysis of Internal Transcribed Spacers (ITS), Intergenic Spacers (IGS) and of a β-tubulin gene portion. A. niger and Aspergillus awamori were identified observing the macro- and microscopic features of the colonies and the strains ochratoxigenicity was evaluated through Thin Layer Chromatography and/or High Performance Liquid Chromatography. PCR amplification of ITS, IGS and β-tubulin gene portion produced 600, 440 and …

Ochratoxin AFood ContaminationMicrobiologyMicrobiologychemistry.chemical_compoundIntergenic regionTubulinVitisDNA FungalOchratoxinChromatography High Pressure LiquidAspergillus awamoriAspergillusIntergenic spacerbiologyAspergillus nigerGene AmplificationSettore AGR/12 - Patologia VegetaleOchratoxin AGeneral MedicineFungi imperfectiAmpliconbiology.organism_classificationOchratoxinsMolecular WeightInternal transcribed spacerchemistryAspergillus awamoriFood Microbiologyβ-tubulinDNA IntergenicAspergillus nigerChromatography Thin LayerFood ScienceInternational Journal of Food Microbiology
researchProduct

Mechanical and electroconductive properties of spatially distributed double stranded DNA arrays on Au (111)

2008

Abstract Conductive AFM was used to investigate electroconductivity through 10 nm long double stranded DNA molecules in mixed monolayers of thioalkylated-DNA and mercaptohexanol (MCH) on Au (111) surface. The distribution of DNA molecules on the surface was analyzed by tapping mode AFM. Measurements performed in lift mode confirmed that the DNA molecules protrude from the surface rather than lie horizontally adsorbed on the interface. The optimal conductivity measurement time, which is shorter than the mechanical relaxation time of oligonucleotide duplexes, was determined. It was concluded that oligonucleotide duplexes have a resistance of the order of ~ 2 Ω ⁎ m at 1 V.

OligonucleotideMetals and AlloysAnalytical chemistrySelf-assembled monolayerSurfaces and InterfacesConductive atomic force microscopyConductivitySurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCrystallographychemistry.chemical_compoundAdsorptionchemistryMonolayerMaterials ChemistryMoleculeDNAThin Solid Films
researchProduct

Semantics driven interaction using natural language in students tutoring

2007

The aim of this work is to introduce a semantic integration between an ontology and a chatbot in an Intelligent Tutoring Systems (ITS) to interact with students using natural language. The interaction process is driven by the use of a purposely defined ontology. In the ontology two types of conceptual relations are defined. Besides the usual relations, which are used to define the domain's structure, another type of relation is used to define the navigation schema inside the ontology according to the need of managing uncertainty. Uncertainty level is related to student knowledge level about the involved concepts. In this work we propose an ITS for the Java programming language called TutorJ…

Ontology Inference LayerComputer sciencecomputer.internet_protocolOntology (information science)Semanticscomputer.software_genreOWL-SIntelligent tutoring systemsLatent semantic analysisNatural language dialogueSemantic driven interactionSemantic navigationSemantic similaritySemantic computingSchema (psychology)Upper ontologySemantic integrationSemantic compressionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionisemantic navigationLatent semantic analysisbusiness.industryOntology-based data integrationKnowledge levelIntelligent Tutoring SystemsOntologylatent semantic analysisArtificial intelligencesemantic driven interactionbusinesscomputernatural language dialogueNatural language processing
researchProduct

A literature review of sensor ontologies for manufacturing applications

2013

The purpose of this paper is to review existing sensor and sensor network ontologies to understand whether they can be reused as a basis for a manufacturing perception sensor ontology, or if the existing ontologies hold lessons for the development of a new ontology. We develop an initial set of requirements that should apply to a manufacturing perception sensor ontology. These initial requirements are used in reviewing selected existing sensor ontologies. Additionally, we present our developed sensor ontology thus far that incorporates a refined list of requirements. This paper describes 1) extending and refining the requirements; 2) proposing hierarchical structures for verifying the purpo…

Ontology Inference LayerDatabaseComputer sciencebusiness.industrycomputer.internet_protocolOntology-based data integrationProcess ontologySuggested Upper Merged OntologyOntology (information science)computer.software_genreOWL-SUpper ontologySoftware engineeringbusinesscomputerOntology alignment2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE)
researchProduct

A Survey on Ontology Evaluation Methods

2015

International audience; Ontologies nowadays have become widely used for knowledge representation, and are considered as foundation for Semantic Web. However with their wide spread usage, a question of their evaluation increased even more. This paper addresses the issue of finding an efficient ontology evaluation method by presenting the existing ontology evaluation techniques, while discussing their advantages and drawbacks. The presented ontology evaluation techniques can be grouped into four categories: gold standard-based, corpus-based, task-based and criteria based approaches.

Ontology Inference Layer[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text ProcessingComputer sciencecomputer.internet_protocolProcess ontology[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)OWL-S[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]020204 information systems0202 electrical engineering electronic engineering information engineeringUpper ontology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]EvaluationInformation retrievalOntologyOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processing[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]computerOntology alignmentSemantic web
researchProduct

Ontology Views for Ontology Change Management

2014

International audience; In the literature, ontology change management systems (OCMS) are direct implementation of the concept of “change management” stated by reference (Klein, 2004). Ontology change management combines ontol- ogy evolution and versioning features to manage ontol- ogy changes and their impacts. Since 2007, many works have combined ontology evolution and versioning into ontology change management systems (OCMS). The evolution subject has been massively studied in these works. They especially addressed the consistence issue for the application of changes on the ontology. These proposals constituted a consequent background for ontology change management but they did not take i…

Ontology Inference Layer[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceProcess ontologyURI[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)computer.software_genreRDFOpen Biomedical Ontologies[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]ontology evolution0202 electrical engineering electronic engineering information engineeringUpper ontologyontologyOWL DLOWLInformation retrievalOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontologymaterialized view020207 software engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[ INFO.INFO-FL ] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]database viewontology mapping020201 artificial intelligence & image processingData miningComputingMethodologies_GENERALontology change managementOntology alignmentcomputer
researchProduct