Search results for " modelling"

showing 10 items of 1055 documents

Technical assessment and evaluation of environmental models and software: Letter to the Editor

2011

International audience; This letter details the collective views of a number of independent researchers on the technical assessment and evaluation of environmental models and software. The purpose is to stimulate debate and initiate action that leads to an improved quality of model development and evaluation, so increasing the capacity for models to have positive outcomes from their use. As such, we emphasize the relationship between the model evaluation process and credibility with stakeholders (including funding agencies) with a view to ensure continued support for modelling efforts. Many journals, including EM&S, publish the results of environmental modelling studies and must judge the w…

Environmental impact analysis--Software--EvaluationEnvironmental Engineering010504 meteorology & atmospheric sciencesComputer scienceProcess (engineering)[SDV]Life Sciences [q-bio]Best practicemedia_common.quotation_subject0207 environmental engineeringEnvironmental modelling02 engineering and technology01 natural sciencesEnvironmental impact analysis--Computer simulation--EvaluationModel credibilitySoftware verificationCredibilityEnvironmental impact assessmentQuality (business)Environmental software020701 environmental engineeringModel evaluationPublication0105 earth and related environmental sciencesmedia_commonEnvironmental sciences--Computer simulation--EvaluationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleEnvironmental assessmentManagement sciencebusiness.industryEcological ModelingAction (philosophy)Risk analysis (engineering)Environmental sciences--Software--EvaluationbusinessSoftwareSoftware verificationEnvironmental Modelling & Software
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Modelling PM10 Crisis Peaks Using Multi-agent Based Simulation: Application to Annaba City, North-East Algeria

2015

The paper describes a MAS (multi-agent system) simulation approach for controlling PM10 (Particulate Matter) crisis peaks. A dispersion model is used with an Artificial Neural Network (ANN) to predict the PM10 concentration level. The dispersion and ANN models are integrated into a MAS system. PM10 source controllers are modelled as software agents. The MAS is composed of agents that cooperate with each other for reducing their emissions and control the air pollution peaks. Different control strategies are simulated and compared using data from Annaba (North-East Algeria). The simulator helps to compare and assess the efficiency of policies to control peaks in PM10.

Environmental modellingEconomyMeteorologyArtificial neural networkSoftware agentMulti-agent systemAir pollutionmedicineEnvironmental scienceStatistical dispersionNorth eastmedicine.disease_causeAir quality index
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Probabilistic stability analysis of social obesity epidemic by a delayed stochastic model

2014

Abstract Sufficient conditions for stability in probability of the equilibrium point of a social obesity epidemic model with distributed delay and stochastic perturbations are obtained. The obesity epidemic model is demonstrated on the example of the Region of Valencia, Spain. The considered nonlinear system is linearized in the neighborhood of the positive point of equilibrium and a sufficient condition for asymptotic mean square stability of the zero solution of the constructed linear system is obtained.

Equilibrium pointMathematical optimizationStochastic modellingApplied MathematicsLinear systemGeneral EngineeringProbabilistic logicZero (complex analysis)Computer Science::Social and Information NetworksGeneral MedicineQuantitative Biology::OtherStability (probability)Computational MathematicsNonlinear systemApplied mathematicsEpidemic modelGeneral Economics Econometrics and FinanceAnalysisMathematicsNonlinear Analysis: Real World Applications
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Volatility transmission patterns and terrorist attacks

2009

The objective of this study is to analyze volatility transmission between the US and Eurozone stock markets considering the effects of the September 11, March 11 and July 7 financial crises. In order to do this, we use a multivariate GARCH model and take into account the asymmetric volatility phenomenon, the non-synchronous trading problem and the crises themselves. Moreover, a graphical analysis of the Asymmetric Volatility Impulse-Response Functions (AVIRF) is introduced, which takes into consideration the crisis effect. Results suggest that there is bidirectional and asymmetric volatility transmission and show the different impact that terrorist attacks had on both markets. El objetivo d…

Estadística matemàticaTheorieanwendungtransmissions de volatilitatFinancial economicsEconomicsAutoregressive conditional heteroskedasticitymercados financieros internacionalesMercados financieros internacionales; Crisis financieras; GARCH multivariante; Transmisión de volatilidad. International financial markets; Stock market crisis; Multivariate GARCH; Volatility spillovers.theory applicationMultivariate garch modelOrder (exchange)Volatility swapFinances internacionalsEconomicsEconometricsddc:330multivariate GARCHcrisis del mercado de valorescrisi del mercat de valorsRisk managementInternational financeStock (geology)Economic Statistics Econometrics Business InformaticsMercat Investigacióvolatility spilloversmercats financers internacionalsbusiness.industryinternational financial marketsFinancial marketWirtschaftstock market crisisjel:C32jel:F30Political EconomyMathematical statisticsjel:G15Estadística matemáticaVolatility Modelling Multivariate Volatility GARCH models International Finance International Asset Pricing Risk ManagementVolkswirtschaftslehreTerrorismWirtschaftsstatistik Ökonometrie WirtschaftsinformatikGraphical analysisVolatility (finance)businessVolatility transmissionGeneral Economics Econometrics and FinanceFinancederrames de volatilidad
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Critical comments on EEG sensor space dynamical connectivity analysis

2019

Many different analysis techniques have been developed and applied to EEG recordings that allow one to investigate how different brain areas interact. One particular class of methods, based on the linear parametric representation of multiple interacting time series, is widely used to study causal connectivity in the brain. However, the results obtained by these methods should be interpreted with great care. The goal of this paper is to show, both theoretically and using simulations, that results obtained by applying causal connectivity measures on the sensor (scalp) time series do not allow interpretation in terms of interacting brain sources. This is because (1) the channel locations canno…

FOS: Computer and information sciencesComputer scienceSocial SciencesTransfer functionStatistics - Applications050105 experimental psychology03 medical and health sciences0302 clinical medicinegranger causalityMVARHumansApplications (stat.AP)Computer Simulation0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingBrain connectivityEEGTime domainSpurious relationshipRepresentation (mathematics)Mixing (physics)Parametric statisticsBrain MappingRadiological and Ultrasound TechnologySeries (mathematics)05 social sciencesbrain connectivitysource modellingElectroencephalographyNeurologyFOS: Biological sciencesFrequency domainQuantitative Biology - Neurons and CognitionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityDirected transfer functionNeurons and Cognition (q-bio.NC)Neurology (clinical)AnatomyAlgorithm030217 neurology & neurosurgery
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

2019

Abstract Satellite remote sensing has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. Existing remote sensing-based methods to estimate gross primary productivity (GPP), which is an important variable to indicate crop photosynthetic function and stress, typically rely on empirical or semi-empirical approaches, which tend to over-simplify photosynthetic mechanisms. In this work, we take advantage of all parallel developments in mechanistic photosynthesis modeling and satellite data availability for an advanced monitoring of crop productivity. In particular, we combine process-based modeling with …

FOS: Computer and information sciencesLandsat 8Earth observation010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0208 environmental biotechnologyComputer Science - Computer Vision and Pattern RecognitionSoil Science02 engineering and technologyGross primary productivity (GPP)Sentinel-2 (S2)Machine learningcomputer.software_genre01 natural sciencesRadiative transfer modeling (RTM)Atmospheric radiative transfer codesSoil-canopy-observation of photosynthesis and the energy balance (SCOPE)Computers in Earth SciencesC3 crops0105 earth and related environmental sciencesRemote sensing2. Zero hungerArtificial neural networkbusiness.industryEmpirical modellingNeural networks (NN)GeologyVegetationMachine learning (ML)15. Life on landHybrid approach22/4 OA procedure020801 environmental engineeringVariable (computer science)ITC-ISI-JOURNAL-ARTICLEEnvironmental scienceSatelliteArtificial intelligenceScale (map)businesscomputerRemote sensing of environment
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Towards realistic artificial benchmark for community detection algorithms evaluation

2013

Many algorithms have been proposed for revealing the community structure in complex networks. Tests under a wide range of realistic conditions must be performed in order to select the most appropriate for a particular application. Artificially generated networks are often used for this purpose. The most realistic generative method to date has been proposed by Lancichinetti, Fortunato and Radicchi (LFR). However, it does not produce networks with some typical features of real-world networks. To overcome this drawback, we investigate two alternative modifications of this algorithm. Experimental results show that in both cases, centralisation and degree correlation values of generated networks…

FOS: Computer and information sciencesPhysics - Physics and Societypreferential attachmentComputer Networks and CommunicationsComputer science[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]FOS: Physical sciencesvirtual communitiesPhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmasEducation0103 physical sciencescommunity detectionbenchmarking010306 general physicsSocial and Information Networks (cs.SI)CommunicationComputer Science - Social and Information Networkscomplex networksweb based communitiesonline communitiesconfiguration modellingIdentification (information)LFR benchmarkBenchmark (computing)[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]community structureAlgorithmtopological propertiesSoftware
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Reliability analysis of processes with moving cracked material

2015

Abstract The reliability of processes with moving elastic and isotropic material containing initial cracks is considered in terms of fracture. The material is modelled as a moving plate which is simply supported from two of its sides and subjected to homogeneous tension acting in the travelling direction. For tension, two models are studied: (i) tension is constant with respect to time, and (ii) tension varies temporally according to an Ornstein–Uhlenbeck process. Cracks of random length are assumed to occur in the material according to a stochastic counting process. For a general counting process, a representation of the nonfracture probability of the system is obtained that exploits condi…

FOS: Computer and information sciencesStochastic modellingBoundary (topology)02 engineering and technologyComputational Engineering Finance and Science (cs.CE)0203 mechanical engineeringfirst passage timeComputer Science - Computational Engineering Finance and Sciencestochastic modelMathematics040101 forestryta214Counting processTension (physics)Applied Mathematicsta111Mathematical analysisIsotropyOrnstein–Uhlenbeck process04 agricultural and veterinary sciencesmoving material020303 mechanical engineering & transportsfractureModeling and Simulation0401 agriculture forestry and fisheriesOrnstein-Uhlenbeck processFirst-hitting-time modelConstant (mathematics)Applied Mathematical Modelling
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Concrete columns confined with fibre reinforced cementitious mortars: Experimentation and modelling

2014

Abstract The structural behaviour of concrete columns strengthened with a system made up of fibre nets embedded in an inorganic stabilized cementitious matrix under an uniaxial load was investigated. Medium size specimens with circular and square cross-section were cast and subjected to monotonic uniaxial compression, to investigate the efficiency of a p-Phenylene BenzobisOxazole (PBO) Fibre Reinforced Cementitious Mortar (FRCM) system in increasing both strength and ductility. The experimental results show that the confinement system adopted produced a noticeable increment in strength and ductility, though the low mechanical ratios of fibre considered were not always able to ensure hardeni…

FRCM Confinement Fibres Laminates Strength Mechanical testing Analytical modelling Reinforced concreteMaterials sciencebusiness.industryUniaxial compressionBuilding and ConstructionStructural engineeringReinforced concreteSettore ICAR/09 - Tecnica Delle CostruzioniAnalytical modelling; Confinement; PBO fibres; fiber reinforced cementitiuos matrix (FRCM); Laminates; Mechanical testing; Reinforced concrete; StrengthHardening (metallurgy)General Materials ScienceCementitiousMortarComposite materialUniaxial loadbusinessCementitious matrixCivil and Structural Engineering
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Environmental suitability model for the lanner falcon Falco biarmicus feldeggii: planning, study and monitoring the Sicilian population

2017

The identification of suitable areas, by spatially explicit distribution models, is crucial for conservation of threatened species as the lanner falcon Falco biarmicus feldeggii. Monitoring and collecting data on lanner falcon during years has proven to be essential for better defining the areas of species environmental suitability. Recent research shows that breeding performances of this species are strongly influenced by bioclimatic factors, especially monthly temperature and rainfall, or linked to landscape morphology, such as the slope of territories. These environmental parameters combined with species productivity (number of fledged juveniles per checked pair) of geo-referenced breedi…

Falco biarmicus feldeggii environmental suitability predictive modelling GISSettore BIO/05 - Zoologia
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