Search results for "modelling"

showing 10 items of 1353 documents

The kinetics of defect aggregation: A novel lattice formalism

1995

We introduce a stochastic model for the A + B → O reaction on a discrete lattice. The system may include mono- and bimolecular steps (i. e. reaction and diffusion steps). The resulting infinite chain of equations is truncated at a certain level via a modified Kirkwood approximation.

Nuclear and High Energy PhysicsRadiationChemistryStochastic modellingKineticsThermodynamicsCondensed Matter PhysicsCrystallographic defectFormalism (philosophy of mathematics)Lattice (order)Kirkwood approximationMaster equationGeneral Materials ScienceStatistical physicsAgrégationRadiation Effects and Defects in Solids
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Fuzzy modelling of HEART methodology: application in safety analyses of accidental exposure in irradiation plants

2009

The present paper refers to the obtained results by using Fuzzy Fault Tree analyses of accidental scenarios which entail the potential exposure of operators working in irradiation industrial plants. For these analyses the HEART methodology, a first generation of the Human Reliability Analysis method, has been employed to evaluate the probability of human erroneous actions. This technique has been modified by us on the basis of fuzzy set concept to more directly take into account the uncertainties of the so called error-promoting factors, on which the method is grounded. The results allow also to provide some recommendations on procedures and safety equipments to reduce the radiological expo…

Nuclear and High Energy PhysicsRisk analyses Irradiation plant Human error Fuzzy Fault Tree.RadiationBasis (linear algebra)Settore ING-IND/20 - Misure E Strumentazione NucleariComputer scienceHuman errorFuzzy setCondensed Matter PhysicsFuzzy fault treeReliability engineeringAccidental exposureFuzzy modellingSafety EquipmentGeneral Materials ScienceSettore ING-IND/19 - Impianti NucleariHuman reliabilityRadiation Effects and Defects in Solids
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Stochastic 0-dimensional Biogeochemical Flux Model: Effect of temperature fluctuations on the dynamics of the biogeochemical properties in a marine e…

2021

Abstract We present a new stochastic model, based on a 0-dimensional version of the well known biogeochemical flux model (BFM), which allows to take into account the temperature random fluctuations present in natural systems and therefore to describe more realistically the dynamics of real marine ecosystems. The study presents a detailed analysis of the effects of randomly varying temperature on the lower trophic levels of the food web and ocean biogeochemical processes. More in detail, the temperature is described as a stochastic process driven by an additive self-correlated Gaussian noise. Varying both correlation time and intensity of the noise source, the predominance of different plank…

Numerical AnalysisBiogeochemical cycleStatistical Mechanics (cond-mat.stat-mech)Stochastic modellingStochastic processApplied MathematicsRandom processesFluxFOS: Physical sciencesPlanktonAtmospheric sciencesNoise (electronics)symbols.namesakeGaussian noiseModeling and SimulationPlankton dynamicsStochastic differential equationssymbolsEnvironmental scienceQuantitative Biology::Populations and EvolutionMarine ecosystemCondensed Matter - Statistical MechanicsMarine ecosystems
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Ability of software SWMM to simulate sewer smooth pressurization transient

2010

As a consequence of heavy rainfall events or network malfunctioning, filling of sewers (pressurization) and network overflowing may occur. Several models are commonly used to simulate floods in drainage networks and their results are usually thought to be reliable and robust. Actually, mathematical models based on the momentum equation appear to be more suitable in correctly simulating the pressurization moving jump but models based on the energy equation are much more popular because of their greater simplicity in comparison to the former ones. In this paper, on the basis of laboratory pipe tests, the ability of software SWMM (Storm Water Management Model, probably the most popular softwar…

Numerical modelling Pressurization Transition Unsteady flow Urban drainageSettore ICAR/01 - Idraulica
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SPH NUMERICAL MODELLING OF WAVE-STRUCTURE INTERACTION

The present thesis aims at contributing to a better understanding and modelling of flow driven by wave propagation approaching artificial or natural structures. From a physical point of view, a simplistic descrip- tion of the interaction of sea waves with a coastal structure can be given as the result of all processes felt by the waves which, propagating from offshore to nearshore, impact on the structure itself. Indeed, as sea waves approach a shore, the motion they generate deep down begins to interact with the sea bed. This slows the waves down and causes the crests in a series of waves to bunch up; this effect is called shoaling. The period of the waves does not change, but their height…

Numerical modellingSPHWaveSettore ICAR/01 - Idraulica
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Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and …

2022

Several optical imaging techniques have been developed to ease the burden of skin cancer disease on our health care system. Hyperspectral images can be used to identify biological tissues by their diffuse reflected spectra. In this second part of a three-phase pilot study, we used a novel hand-held SICSURFIS Spectral Imager with an adaptable field of view and target-wise selectable wavelength channels to provide detailed spectral and spatial data for lesions on complex surfaces. The hyperspectral images (33 wavelengths, 477–891 nm) provided photometric data through individually controlled illumination modules, enabling convolutional networks to utilise spectral, spatial, and skin-surface mo…

OPTICAL COHERENCE TOMOGRAPHYskin cancerhyperspectral imagingskin imagingphotometric stereoMELANOMAGeneral Medicineneuroverkotdiagnostiikkabiomedical optical imagingnon-invasive imagingDIAGNOSISCANCERoptical modellingkarsinoomatCLASSIFICATIONihosyöpäkoneoppiminenSDG 3 - Good Health and Well-beingbiomedical optical imaging; convolutional neural networks; hyperspectral imaging; non-invasive imaging; optical modelling; photometric stereo; skin cancer; skin imaging3121 General medicine internal medicine and other clinical medicineconvolutional neural networks/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingmelanoomahyperspektrikuvantaminen
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Prospects of territorial intelligence tool Catalyse according to governance

2013

Catalysis method has been developed since 1989 as a scientific tool for territorial intelligence and governance. It is currently undergoing major adjustments that are presented in this paper. Catalysis was immediately concerted as a tool for territorial stakeholders' cooperation and citizen participation in local initiatives . It allows a stakeholder partnership to confront the needs of a given population with resource inventory and indicators of a territory as to predict and assess the evolution of these elements. It mobilized for this purpose a set of basic project management and and evaluation techniques, survey processing , data analysis and spatial information. It includes tools for ac…

Observation territorialeTerritorial GovernancegouvernancegovernanceTerritorial Observationintelligence territorialeterritorial intelligenceGouvernance territorialeCatalyseModellingmodélisation
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Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study

2021

Abstract It is still unclear how genetic information, provided as single‐nucleotide polymorphisms (SNPs), can be most effectively integrated into risk prediction models for coronary heart disease (CHD) to add significant predictive value beyond clinical risk models. For the present study, a population‐based case‐cohort was used as a trainingset (451 incident cases, 1488 noncases) and an independent cohort as testset (160 incident cases, 2749 noncases). The following strategies to quantify genetic information were compared: A weighted genetic risk score including Metabochip SNPs associated with CHD in the literature (GRSMetabo); selection of the most predictive SNPs among these literature‐co…

Oncologymedicine.medical_specialtyEpidemiologyFramingham Risk Score ; Metabochip ; Coronary Heart Disease ; Genomic Risk Prediction ; Priority-lassoPopulationCoronary DiseaseSingle-nucleotide polymorphismKoronare HerzkrankheitPolymorphism Single NucleotideRisk AssessmentCohort Studies03 medical and health sciencesRisk FactorsInternal medicinemedicineHumansgenomic risk predictionddc:610coronary heart diseaseMetabochipGenetikeducationGenotypingGenetics (clinical)030304 developmental biologypriority‐Lasso0303 health scienceseducation.field_of_studyFramingham Risk ScoreModels GeneticProportional hazards modelbusiness.industry030305 genetics & heredityGenomicsConfidence intervalddc:Coronary disease; GeneticsRisk factorsCohortFramingham risk scorebusinessDDC 610 / Medicine & healthPredictive modelling
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Modeling Changes for SHOIN(D) Ontologies: An Exhaustive Structural Model

2013

Ontology development starts with a rigorous ontological analysis that provides a conceptualization of the domain to model agreed by the community. An ontology, specified in a formal language, approximates the intended models of this conceptualization. It needs then to be revised and refined until an ontological commitment is found. Also ulterior updates, responding to changes in the domain and/or the conceptualization, are expected to occur throughout the ontology life cycle. To handle a consistent application of changes, a couple of ontology evolution methodologies have been proposed. Maintaining the structural consistency is one of the ontology evolution criteria. It implies modeling chan…

Ontology Inference Layer[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceProcess ontology030303 biophysicsData_MISCELLANEOUS[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)computer.software_genre03 medical and health sciencesOntology chart[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]SHOIN(D) Description LogicOntology components0202 electrical engineering electronic engineering information engineeringUpper ontologyOWL DL[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]0303 health sciencesbusiness.industryOntology-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]Structural ConsistencyOntology EvolutionIEEE[ INFO.INFO-FL ] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Ontology Model020201 artificial intelligence & image processing[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]Artificial intelligenceComputingMethodologies_GENERALChange ModellingbusinesscomputerNatural language processing
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Improving efficiency and discharge power of acid-base flow battery via a bi-objective optimisation

2023

OptimizationElectro-chemical energy storageBipolar membrane (reverse) electrodialysiFlow batteryRenewable Energy Sustainability and the EnvironmentBipolar membrane (reverse) electrodialysisEnergy Engineering and Power TechnologyIon-exchange membraneElectrical and Electronic EngineeringElectro-chemical energy storage Ion-exchange membrane Flow battery Bipolar membrane (reverse) electrodialysis Modelling OptimizationModellingJournal of Energy Storage
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