Search results for "simulation"

showing 10 items of 5095 documents

UV And X-Ray Emission from Impacts of Fragmented Accretion Streams on Classical T Tauri Stars

2016

According to the magnetoshperic accretion scenario, during their evo- lution, Classical T Tauri stars accrete material from their circumstellar disk. The accretion process is regulated by the stellar magnetic eld and produces hot and dense post-shocks on the stellar surface as a result of impacts of the downfalling material. The impact regions are expected to strongly radiate in UV and X-rays. Several lines of evidence support the magnetospheric accretion scenario, especially in optical and infrared bands. However several points still remain unclear as, for instance,where the complex-pro le UV lines originate, or whether and how UV and X-ray emission is produced in the same shock region. Th…

AccretionPlasmaSettore FIS/05 - Astronomia E AstrofisicaAccretion accretion disks Stars: pre-main sequence Stars: variables: T Tauri Herbig Ae/BeT Tauri StarsdiskMagnetohydrodinamicMHD simulation
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Objective Amplitude of Accommodation Computed from Optical Quality Metrics Applied to Wavefront Outcomes

2009

Purpose: We studied the accuracy and precision of 32 objective wavefront methods for finding the amplitude of accommodation obtained in 180 eyes. Methods: Ocular accommodation was stimulated with 0.5 D steps in target vergence spanning the full range of accommodation for each subject. Subjective monocular amplitude of accommodation was measured using two clinical methods, using negative lenses and with a custom Badal optometer. Results: Both subjective methods gave similar results. Results obtained from the Badal optometer where used to test the accuracy of the objective methods. All objective methods showed lower amplitude of accommodation that the subjective ones by an amount that varied …

Accuracy and precisionamplitude of accommodationgenetic structuresComputer scienceAcousticssubjective methods050105 experimental psychology03 medical and health sciencesimage quality metricsobjective methods0302 clinical medicinelcsh:Ophthalmologymedicineamplitud de acomodaciónlcsh:QC350-4670501 psychology and cognitive sciencesmétodos subjetivosSimulationWavefrontmétricas de calidad de imagenmétodos objetivos05 social sciencespresbiciaPresbyopiamedicine.diseaseOptical qualityAmplitude of accommodationlcsh:RE1-994030221 ophthalmology & optometrypresbyopiaOriginal Articlelcsh:Optics. LightOptometryJournal of Optometry
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Application of the General Model "Biological Nutrient Removal Model No.1" to upgrade two full-scale WWTPs

2012

In this paper, two practical case studies for upgrading two wastewater treatment plants (WWTPs) using the general model BNRM1 (Biological Nutrient Removal Model No. 1) are presented. In the first case study, the Tarragona WWTP was upgraded by reducing the phosphorus load to the anaerobic digester in order to minimize the precipitation problems. Phosphorus load reduction was accomplished by mixing the primary sludge and the secondary sludge and by elutriating the mixed sludge. In the second case study, the Alcantarilla WWTP, the nutrient removal was enhanced by maintaining a relatively low dissolved oxygen concentration in Stage A to maintain the acidogenic bacteria activity. The VFA produce…

AcidogenesisBiological nutrient removalWATER TREATMENT PLANTSAerobic bacteriachemistry.chemical_elementActivated sludge modelPhosphatesWater PurificationWASTE-WATERBNRM1Environmental ChemistryAnaerobiosisOrganic ChemicalsWaste Management and DisposalTECNOLOGIA DEL MEDIO AMBIENTEWater Science and TechnologyCALIBRATIONSewagePhosphorusEnvironmental engineeringGeneral MedicineModels TheoreticalASM2DAerobiosisACTIVATED-SLUDGE MODELActivated sludge modelsEnhanced biological phosphorus removalWastewaterchemistrySIMULATIONPlant-wide mathematical modellingEnvironmental scienceSewage treatmentWater treatmentSanitary EngineeringWWTP upgrading
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Modeling solid waste decomposition.

2004

The hydrolysis rate coefficients of sorted municipal waste were evaluated from the biochemical methane potential tests using non-linear regression. A distributed mathematical model of anaerobic digestion of rich (food) and lean (non-food) solid wastes with greatly different rates of polymer hydrolysis/acidogenesis was developed to describe the balance between the rates of hydrolysis/acidogenesis and methanogenesis. The model was calibrated using previously published experimental data [Biores. Technol. 52 (1995) 245] obtained upon various initial food waste loadings. Simulations of one- and two-stage digestion systems were carried out. The results showed that initial spatial separation of fo…

AcidogenesisEnvironmental EngineeringMunicipal solid wasteTime FactorsWaste managementRenewable Energy Sustainability and the EnvironmentMethanogenesisChemistryHydrolysisBioengineeringGeneral MedicineBiodegradationModels TheoreticalDecompositionMethaneRefuse DisposalFood wasteAnaerobic digestionchemistry.chemical_compoundBacteria AnaerobicRegression AnalysisComputer SimulationWaste Management and DisposalAcidsMethaneBioresource technology
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Estimation of fibre orientation from digital images

2001

In this paper, estimation of fibre orientation is studied for fibre systems observable as a blurred greyscale image. The estimation method is based on scaled variograms observed along a set of sampling lines in different directions. The parameters of the orientation distribution are obtained numerically. Simulated data are used to study the statistical properties of the method.

Acoustics and UltrasonicsMaterials Science (miscellaneous)General MathematicsGrayscaleSet (abstract data type)Digital imageimage analysisRadiology Nuclear Medicine and imagingComputer visionInstrumentationMathematicslcsh:R5-920Boolean modelbusiness.industryOrientation (computer vision)lcsh:MathematicsSampling (statistics)Boolean modelObservablesimulationlcsh:QA1-939Distribution (mathematics)fibre orientationdigitizationComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingstereologyComputer Vision and Pattern RecognitionArtificial intelligencebusinesslcsh:Medicine (General)Biotechnology
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The modelling of the cathode sheath of an electrical arc in vacuum

2003

This paper presents a simple model of the fragment in the cathode electrical arc root taking into account the physical phenomena occuring on the cathode surface and the sheath. The goal is the obtainment of characteristics values of the heat flux, the electrons, and atoms density in the sheath. Computation is carried out on a one-dimensional model with a coupling between the equation obtained in the sheath and an enthalpy model of the cathode to describe the temperature evolution. In the modelling, we introduce a friction zone above the sheath edge to characterize the heavy particle interactions. Numerical simulation shows that the ionic friction phenomenon deriving from ion–atom collision …

Acoustics and UltrasonicsvacuumIonic bondingarc rootheat fluxElectroncathode sheatharc01 natural sciences010305 fluids & plasmaslaw.inventionElectric arcCross section (physics)lawPhysics::Plasma Physics[PHYS.PHYS.PHYS-PLASM-PH]Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph]0103 physical sciences010306 general physicsCouplingComputer simulationChemistryMechanics[ PHYS.PHYS.PHYS-PLASM-PH ] Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph]Condensed Matter PhysicsCathodeSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsHeat flux
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Global-Local model for guided wave scattering problems with application to defect characterization in built-up composite structures

2020

Abstract Predicting scattering of elastic guided waves in multi-layered solid plates with geometrical and/or material discontinuities is of great interest to many fields, including ultrasonic-based Non-Destructive Testing (NDT) and health monitoring of critical structural components (SHM). The problem is complicated by the multimode and dispersive behaviour of the guided waves. This paper describes a unified Global-Local (GL) approach that is computationally efficient in cases that can be very complex in terms of geometry and/or material properties. One example of this is a composite built-up structure. The proposed GL procedure discretizes the “local” region with the scattering discontinui…

AcousticsNon-destructive testingClassification of discontinuitiesScatteringNondestructive testingGlobal-Local methodGeneral Materials ScienceGuided elastic wavePhysicsStructural health monitoringGuided wave testingScatteringbusiness.industryApplied MathematicsMechanical EngineeringCondensed Matter PhysicsFinite element methodDiscontinuity (linguistics)Mechanics of MaterialsComposite structureModeling and SimulationReflection (physics)Ultrasonic sensorSettore ICAR/08 - Scienza Delle CostruzionibusinessSemi-analytical finite element methodInternational Journal of Solids and Structures
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Obtención de los principales parámetros del agua residual urbana empleados en los modelos matemáticos de fangos activados a partir de una caracteriza…

2017

El tratamiento de las aguas residuales se ha realizado en España mediante procesos biológicos como el comúnmente utilizado de fangos activados. Estos procesos han sido descritos mediante modelos matemáticos que describen la eliminación de los contaminantes presentes en el agua (materia orgánica, nitrógeno y fósforo). La utilización de estos modelos requiere de una caracterización detallada de los contaminantes presentes en el agua residual urbana (ARU). La caracterización de un ARU es clave para el uso de estos modelos de simulación, tanto en el diseño como en la simulación de las Estaciones Depuradoras de Aguas Residuales (EDAR). Este trabajo ha utilizado y considerado los parámetros propu…

Activated sludgeWastewaterAigües residualsSimulation modelingEnvironmental engineeringEnvironmental scienceSewage treatmentAigua Qualitat
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Active Learning for Monitoring Network Optimization

2012

Kernel-based active learning strategies were studied for the optimization of environmental monitoring networks. This chapter introduces the basic machine learning algorithms originated in the statistical learning theory of Vapnik (1998). Active learning is closer to an optimization done using sequential Gaussian simulations. The chapter presents the general ideas of statistical learning from data. It derives the basics of kernel-based support vector algorithms. The active learning framework is presented and machine learning extensions for active learning are described in the chapter. Kernel-based active learning strategies are tested on real case studies. The chapter explores the use of a c…

Active learningComputer scienceActive learning (machine learning)Kernel-based support vector algorithmsMachine learningGaussian simulationsData scienceMonitoring network optimization
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Integrated simulation and optimization models for tracking international fixed income indices

2001

Portfolio managers in the international fixed income markets must address jointly the interest rate risk in each market and the exchange rate volatility across markets. This paper develops integrated simulation and optimization models that address these issues in a common framework. Monte Carlo simulation procedures generate jointly scenarios of interest and exchange rates and, thereby, scenarios of holding period returns of the available securities. The portfolio manager’s risk tolerance is incorporated either through a utility function or a (modified) mean absolute deviation function. The optimization models prescribe asset allocation weights among the different markets and also resolve b…

Actuarial scienceGeneral MathematicsFinancial marketAsset allocationStocastich optimization portfolio modelling montecarlo simulationInterest rate riskFixed incomeEconometricsBond marketPortfolioProject portfolio managementVolatility (finance)SoftwareMathematics
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