Search results for "Modelling and simulation"

showing 10 items of 97 documents

A wavelet-based tool for studying non-periodicity

2010

This paper presents a new numerical approach to the study of non-periodicity in signals, which can complement the maximal Lyapunov exponent method for determining chaos transitions of a given dynamical system. The proposed technique is based on the continuous wavelet transform and the wavelet multiresolution analysis. A new parameter, the \textit{scale index}, is introduced and interpreted as a measure of the degree of the signal's non-periodicity. This methodology is successfully applied to three classical dynamical systems: the Bonhoeffer-van der Pol oscillator, the logistic map, and the Henon map.

Dynamical systems theoryFOS: Physical sciencesLyapunov exponentDynamical Systems (math.DS)37D99 42C40WaveletsDynamical systemMeasure (mathematics)symbols.namesakeWaveletModelling and SimulationFOS: MathematicsApplied mathematicsMathematics - Dynamical SystemsContinuous wavelet transformMathematicsMathematical analysisNonlinear Sciences - Chaotic DynamicsNon-periodicityHénon mapNonlinear Sciences::Chaotic DynamicsComputational MathematicsComputational Theory and MathematicsModeling and SimulationsymbolsLogistic mapChaotic Dynamics (nlin.CD)Chaotic dynamical systems
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Pathway network inference from gene expression data

2014

[EN] Background: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems Biology discipline. Analysis and interpretation of gene expression data has evolved from the gene to the pathway and interaction level, i.e. from the detection of differentially expressed genes, to the establishment of gene interaction networks and the identification of enriched functional categories. Still, the understanding of biological systems requires a further level of analysis that addresses the characterization of the interaction between functional modules. Results: We presen…

ESTADISTICA E INVESTIGACION OPERATIVAGene regulatory networkGene ExpressionInferenceSister chromatidsOxidative Phosphorylation//purl.org/becyt/ford/1 [https]Structural BiologyEstadística e Investigación OperativaGene Regulatory NetworksTopology (chemistry)Alzheimers-DiseaseGeneticsDIBUJOBiological systemsApplied MathematicsSystems BiologyCell Cycle//purl.org/becyt/ford/1.2 [https]Computer Science ApplicationsMicroarray experimentsModeling and SimulationIdentification (biology)Functional assessmentDNA-replicationFunctional connectionsGlycolysisCIENCIAS NATURALES Y EXACTASPathway NetworkDNA ReplicationSaccharomyces-CervisiaeBioinformaticsS-phaseSystems biologyGenomicsComputational biologySaccharomyces cerevisiaeBiologyGene interactionAlzheimer DiseaseModelling and SimulationGenomic dataPANAPathwaysMolecular BiologyUbiquitinResearchGene Expression ProfilingR packageGluconeogenesisGene expression profilingComputingMethodologies_PATTERNRECOGNITIONPurinesCiencias de la Computación e InformaciónProteolysisGene expression dataCiencias de la Información y BioinformáticaUbiquitin conjugationPathwayBMC Systems Biology
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Nonlinear extended thermodynamics of a dilute nonviscous gas

2002

This paper deals with further developments of a nonlinear theory for a nonviscous gas in the presence of heat flux, which has been proposed in previous papers, using extended thermodynamics. The fundamental fields used are the density, the velocity, the internal energy density, and the heat flux. Using the Liu procedure, the constitutive theory is built up without approximations and the consistence of the model is showed: it is shown that the model is determined by the choice of three scalar functions which must satisfy a system of partial differential equations, which always has solutions. Different changes of field variables are carried out, using different Legendre transformations, passi…

Entropy (classical thermodynamics)Partial differential equationInternal energyHeat fluxModeling and SimulationModelling and SimulationNon-equilibrium thermodynamicsThermodynamicsThermodynamic temperatureExtended irreversible thermodynamicsAbsolute zeroMathematicsComputer Science ApplicationsMathematical and Computer Modelling
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A Simulation-Based Failure Mode Analysis of SARS-CoV-2 Infection Control and Prevention in Emergency Departments

2020

Background Severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2, the causative agent of coronavirus disease 2019 (COVID-19)] outbreak has been declared a global pandemic by the World Health Organization. The COVID-19 pandemic has highlighted problems of sustainable infection prevention and control measures worldwide, particularly the emerging issues with an insufficient supply of personal protective equipment. The aim of this study was to provide an action plan for mitigation of occupational hazards and nosocomial spread of SARS-CoV-2 through a failure mode analysis based on observations during in situ simulations. Methods A multicenter, cross-sectional, observational, simulation-bas…

EpidemiologyHealth PersonnelMedicine (miscellaneous)EducationModelling and SimulationHealth carePandemicMedicineInfection controlHumansPersonal protective equipmentPandemicsInfection Controlbusiness.industrySARS-CoV-2COVID-19medicine.diseaseCross-Sectional StudiesModeling and SimulationPreparednessAction planObservational studyMedical emergencybusinessEmergency Service HospitalFailure mode and effects analysisSimulation in Healthcare: The Journal of the Society for Simulation in Healthcare
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Mathematical modeling and parameters estimation of a car crash using data-based regressive model approach

2011

Author's version of an article in the journal: Applied Mathematical Modelling. Also available from the publisher at: http://dx.doi.org/10.1016/j.apm.2011.04.024 n this paper we present the application of regressive models to simulation of car-to-pole impacts. Three models were investigated: RARMAX, ARMAX and AR. Their suitability to estimate physical system parameters as well as to reproduce car kinematics was examined. It was found out that they not only estimate the one quantity which was used for their creation (car acceleration) but also describe the car's acceleration, velocity and crush. A virtual experiment was performed to obtain another set of data for use in further research. An A…

Estimationregressive models parameters estimation viscoelastic modeling virtual experimentComputer sciencebusiness.industrySpeech recognitionApplied MathematicsVDP::Technology: 500::Mechanical engineering: 570CrashMachine learningcomputer.software_genreVDP::Mathematics and natural science: 400::Mathematics: 410Modeling and SimulationModelling and SimulationVirtual experimentArtificial intelligencebusinesscomputerApplied Mathematical Modelling
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Forward and backward diffusion approximations for haploid exchangeable population models

2001

Abstract The class of haploid population models with non-overlapping generations and fixed population size N is considered such that the family sizes ν1,…,νN within a generation are exchangeable random variables. A criterion for weak convergence in the Skorohod sense is established for a properly time- and space-scaled process counting the number of descendants forward in time. The generator A of the limit process X is constructed using the joint moments of the offspring variables ν1,…,νN. In particular, the Wright–Fisher diffusion with generator Af(x)= 1 2 x(1−x)f″(x) appears in the limit as the population size N tends to infinity if and only if the condition lim N→∞ E((ν 1 −1) 3 )/(N Var …

Exchangeable random variablesStatistics and ProbabilityDualityPopulation geneticsCoalescent theoryDiffusion approximationModelling and SimulationQuantitative Biology::Populations and EvolutionNeutralityWright–Fisher diffusionHille–Yosida theoremWeak convergenceMathematicsWeak convergenceApplied MathematicsMathematical analysisHeavy traffic approximationCommutative diagramHille–Yosida theoremPopulation modelDiffusion processModeling and SimulationAncestorsDescendantsExchangeabilityCoalescentStochastic Processes and their Applications
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Supporting fine-grained generative model-driven evolution

2010

Published version of an article in the journal: Software and Systems Modeling. Also available on SpringerLink:http://dx.doi.org/10.1007/s10270-009-0144-1 In the standard generative Model-driven Architecture (MDA), adapting the models of an existing system requires re-generation and restarting of that system. This is due to a strong separation between the modeling environment and the runtime environment. Certain current approaches remove this separation, allowing a system to be changed smoothly when the model changes. These approaches are, however, based on interpretation of modeling information rather than on generation, as in MDA. This paper describes an architecture that supports fine-gra…

Generative developmentARCHITECTUREInterpretation (logic)VDP::Technology: 500::Information and communication technology: 550::Computer technology: 551Traceabilitybusiness.industryComputer scienceEvolutionDistributed computingADAPTIVE OBJECT-MODELSLANGUAGESOFTWAREModel-driven developmentFRAMEWORKInterpretive developmentGenerative modelSoftwareDevelopment (topology)Modeling and SimulationModelling and SimulationArtificial intelligenceGenerative DesignArchitecturebusinessGenerative grammarJournal of Software and Systems Modelling
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On critical behaviour in systems of Hamiltonian partial differential equations

2013

Abstract We study the critical behaviour of solutions to weakly dispersive Hamiltonian systems considered as perturbations of elliptic and hyperbolic systems of hydrodynamic type with two components. We argue that near the critical point of gradient catastrophe of the dispersionless system, the solutions to a suitable initial value problem for the perturbed equations are approximately described by particular solutions to the Painlevé-I (P $$_I$$ I ) equation or its fourth-order analogue P $$_I^2$$ I 2 . As concrete examples, we discuss nonlinear Schrödinger equations in the semiclassical limit. A numerical study of these cases provides strong evidence in support of the conjecture.

Hamiltonian PDEsFOS: Physical sciencesSemiclassical physicsPainlevé equationsArticleSchrödinger equationHamiltonian systemsymbols.namesakeMathematics - Analysis of PDEs37K05Modelling and SimulationGradient catastrophe and elliptic umbilic catastrophe34M55FOS: MathematicsInitial value problemSettore MAT/07 - Fisica MatematicaEngineering(all)Mathematical PhysicsMathematicsG100Partial differential equationConjectureNonlinear Sciences - Exactly Solvable and Integrable SystemsHyperbolic and Elliptic systemsApplied MathematicsMathematical analysisQuasi-integrable systemsGeneral EngineeringMathematical Physics (math-ph)35Q55Nonlinear systemModeling and SimulationsymbolsExactly Solvable and Integrable Systems (nlin.SI)Hamiltonian (quantum mechanics)Gradient catastrophe and elliptic umbilic catastrophe; Hamiltonian PDEs; Hyperbolic and Elliptic systems; Painlevé equations; Quasi-integrable systemsAnalysis of PDEs (math.AP)
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Forward acceleration of the centre of mass during ski skating calculated from force and motion capture data

2016

The purpose of this paper was to present and evaluate a methodology to determine the contribution of bilateral leg and pole thrusts to forward acceleration of the centre of mass (COM) of cross-country skiers from multi-dimensional ground reaction forces and motion capture data. Nine highly skilled cross-country (XC) skiers performed leg skating and V2-alternate skating (V2A) under constant environmental conditions on snow, while ground reaction forces measured from ski bindings and poles and 3D motion with high-speed cameras were captured. COM acceleration determined from 3D motion analyses served as a reference and was compared to the results of the proposed methodology. The obtained value…

Highly skilled3d motion analysisMechanical Engineering0206 medical engineeringBiomedical EngineeringPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciences02 engineering and technologyGeodesy020601 biomedical engineeringMotion captureMean differenceMotion (physics)03 medical and health sciencesAcceleration0302 clinical medicineClassical mechanicsPosition (vector)Mechanics of MaterialsModeling and SimulationModelling and SimulationOrthopedics and Sports MedicineGround reaction forceMathematicsSports Engineering
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Geographical variation in pharmacological prescription

2009

Promoting rational drug administration in treatments is one of the most important issues in Public Health. Bayesian hierarchical models are a very useful tool for incorporating geographical information into the analysis of pharmacological prescription data. They allow the mapping of spatial components which express the trend of geographical variation. In addition, these models are able to deal with uncertainty in a sequential way through prior distributions on parameters and hyperparameters. Bayes' theorem combines all types of information and provides the posterior distribution which is computed through Markov Chain Monte Carlo (MCMC) simulation methods. Simulated data for pharmacological …

HyperparameterMarkov chainBayesian probabilityPosterior probabilityLinear modelMarkov chain Monte CarloGeneralized linear mixed modelComputer Science Applicationssymbols.namesakeBayes' theoremModelling and SimulationModeling and SimulationEconometricssymbolsMathematicsMathematical and Computer Modelling
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