Search results for "Calibration"

showing 10 items of 890 documents

Uncertainty in urban flood damage assessment due to urban drainage modelling and depth-damage curve estimation

2010

Due to the increased occurrence of flooding events in urban areas, many procedures for flood damage quantification have been defined in recent decades. The lack of large databases in most cases is overcome by combining the output of urban drainage models and damage curves linking flooding to expected damage. The application of advanced hydraulic models as diagnostic, design and decision-making support tools has become a standard practice in hydraulic research and application. Flooding damage functions are usually evaluated by a priori estimation of potential damage (based on the value of exposed goods) or by interpolating real damage data (recorded during historical flooding events). Hydrau…

Environmental EngineeringUrban PopulationRainContext (language use)urban floodCivil engineeringModels BiologicalBottlenecklocal foodHydrology (agriculture)HumansGeotechnical engineeringComputer SimulationDrainageuncertaintyUncertainty reduction theoryWater Science and TechnologyData collectionFlood mythSewageDrainage SanitarySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaFlood damageFloodsFlooding (computer networking)flood modellingItalyCalibrationEnvironmental science
researchProduct

Penalization and data reduction of auxiliary variables in survey sampling

2012

Survey sampling techniques are quite useful in a way to estimate population parameterssuch as the population total when the large dimensional auxiliary data setis available. This thesis deals with the estimation of population total in presenceof ill-conditioned large data set.In the first chapter, we give some basic definitions that will be used in thelater chapters. The Horvitz-Thompson estimator is defined as an estimator whichdoes not use auxiliary variables. Along with, calibration technique is defined toincorporate the auxiliary variables for sake of improvement in the estimation ofpopulation totals for a fixed sample size.The second chapter is a part of a review article about ridge re…

Estimateur assisté par un modèleModel-assisted estimatorRégression ridge[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Calage sur composantes principalesPenalized calibration[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]Estimateur basé sur un modèleSurvey sampling[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]Ridge regressionCalage pénaliséModel-based estimatorColinéaritéEstimateur de Horvitz-ThompsonHorvitz-Thompson estimatorSondageMulticollinearityPrincipal component calibration
researchProduct

Calibration and Validation of Algorithms for the Estimation of Chlorophyll-A in Inland Waters with Sentinel-2

2018

The Ocean Color 2 (OC2), Ocean Color 3 (OC3) and Dall'Olmo three-band (TBDO) algorithms used for the estimation of the chlorophyll-a concentration [Chl-a] have been calibrated and validated for Sentinel-2 spectral bands. Measurements of in situ chlorophyll-a, radiometry and simulations with HydroLight have been used for this purpose within the Ecological Status of AQuatic Systems Satellites (ESAQS) Project to estimate water quality in aquatic systems in Spain. The results show that Sentinel-2 spectral bands are suitable for studying the chlorophyll-a concentration in inland waters. The TBDO algorithm have been applied to Sentinel-2 images and satisfactory results have been obtained in Albuf…

EstimationChlorophyll aCalibration and validation02 engineering and technologySpectral bands021001 nanoscience & nanotechnology01 natural sciences010309 opticschemistry.chemical_compoundchemistryOcean color0103 physical sciencesCalibrationEnvironmental scienceRadiometryWater quality0210 nano-technologyAlgorithmIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
researchProduct

Estrategias para la elaboración de modelos estadísticos de regresión

2011

Multivariable regression models are widely used in health science research, mainly for two purposes: prediction and effect estimation. Various strategies have been recommended when building a regression model: a) use the right statistical method that matches the structure of the data; b) ensure an appropriate sample size by limiting the number of variables according to the number of events; c) prevent or correct for model overfitting; d) be aware of the problems associated with automatic variable selection procedures (such as stepwise), and e) always assess the performance of the final model in regard to calibration and discrimination measures. If resources allow, validate the prediction mo…

Estimationbusiness.industryCalibration (statistics)Sample size determinationMultivariable calculusStatisticsMedicineRegression analysisFeature selectionOverfittingCardiology and Cardiovascular MedicinebusinessRegression diagnosticRevista Española de Cardiología
researchProduct

Protocols for UV camera volcanic SO2 measurements

2010

Abstract Ultraviolet camera technology offers considerable promise for enabling 1 Hz timescale acquisitions of volcanic degassing phenomena, providing two orders of magnitude improvements on sampling frequencies from conventionally applied scanning spectrometer systems. This could, for instance enable unprecedented insights into rapid processes, such as strombolian explosions, and non-aliased corroboration with volcano geophysical data. The uptake of this technology has involved disparate methodological approaches, hitherto. As a means of expediting the further proliferation of such systems, we here study these diverse protocols, with the aim of suggesting those we consider optimal. In part…

ExpeditingVignettingSpectrometerSampling (statistics)Settore GEO/08 - Geochimica E Vulcanologiaultraviolet camera; volcanic SO2 monitoring; volcanic gas geochemistryvolcanic SO2 monitoringGeophysicsNarrowbandGeochemistry and PetrologyCalibrationultraviolet cameraAbsorption (electromagnetic radiation)volcanic gas geochemistryOrder of magnitudeGeologyRemote sensingJournal of Volcanology and Geothermal Research
researchProduct

Experimental validation of optimisation strategies in hydroforming of T-shaped tubes

2008

For three dimensional tube hydroforming operations (i.e. T or Y shaped tubes) the calibration of both material feeding history and internal pressure path during the process is crucial and many approaches to such optimization were presented; the authors developed some procedures to optimize pressure paths and punch velocity histories with the application of an integrated method FEM - Gradient based optimization tools. In this paper, an experimental validation campaign of the utilized optimization strategies is presented with the aim to assess the effectiveness of the developed procedures. An optimization procedure (gradient based techniques) was applied on the process parameters leading to t…

Experimental validationEngineeringHydroformingTube hydroformingbusiness.industryProcess (computing)Internal pressureComputational intelligenceStructural engineeringFinite element methodSet (abstract data type)Path (graph theory)CalibrationGeneral Materials ScienceOptimisation algorithmbusinessInternational Journal of Material Forming
researchProduct

Discussion of “Laboratory and field calibration of the Diviner 2000 probe in two types of soil” by J. Haberland, PhD, R. Galvez, C. Kremer, PhD, and …

2014

The authors deal with the quite interesting and actual problem of Diviner 2000 capacitance probe calibration and present some field and laboratory data obtained on two different layers (0-0.26 cm and 0.26-0.50 cm) of the same soil profile, characterized by different textural class. The importance of site-specific calibration of sensors used to monitor soil or plant water status assumes a particular relevance in semi-arid environments where the application of precision irrigation represents an appropriate management strategy aimed to achieve high values of water use efficiency (Cammalleri et al., 2013). Moreover in clay soils, physical properties are strongly influenced by soil water content…

FDR Soil moisture sensor Laboratory and field calibration Diviner 2000 probeSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
researchProduct

Assessment of a calibration procedure to estimate soil water content with Sentek Diviner 2000 capacitance probe

2012

FDR calibrationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
researchProduct

IceTop : the surface component of IceCube

2012

IceTop, the surface component of the IceCube Neutrino Observatory at the South Pole, is an air shower array with an area of 1 km2. The detector allows a detailed exploration of the mass composition of primary cosmic rays in the energy range from about 100 TeV to 1 EeV by exploiting the correlation between the shower energy measured in IceTop and the energy deposited by muons in the deep ice. In this paper we report on the technical design, construction and installation, the trigger and data acquisition systems as well as the software framework for calibration, reconstruction and simulation. Finally the first experience from commissioning and operating the detector and the performance as an …

FLUXNuclear and High Energy PhysicsAir showerPhysics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaAir shower; Cosmic rays; Detector; IceCube; IceTopFOS: Physical sciencesCosmic rayddc:500.27. Clean energy01 natural sciencesIceCube Neutrino ObservatoryIceCubeShowerData acquisitioncosmic raysDIGITIZATION0103 physical sciencesSHOWERSCalibrationddc:530Instrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsInstrumentationCosmic raysRemote sensingPhysicsMuondetector010308 nuclear & particles physicsDetectorAstrophysics::Instrumentation and Methods for AstrophysicsAstronomyDetectorENERGY-SPECTRUMAir showerPhysics and AstronomySIMULATIONIceTopHigh Energy Physics::ExperimentAstrophysics - Instrumentation and Methods for Astrophysics
researchProduct

A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory

2021

Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts to telescopes around the world, powerful and fast reconstruction methods are desired. Deep neural networks can be extremely powerful, and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep learning-based approach an excellent candidate for the application in IceCube. A reconstruction …

FOS: Computer and information sciencesComputer Science - Machine LearningAstrophysics::High Energy Astrophysical Phenomenacs.LGData analysisFOS: Physical sciencesFitting methods01 natural sciencesConvolutional neural networkCalibration; Cluster finding; Data analysis; Fitting methods; Neutrino detectors; Pattern recognitionHigh Energy Physics - ExperimentIceCube Neutrino ObservatoryMachine Learning (cs.LG)High Energy Physics - Experiment (hep-ex)Pattern recognition0103 physical sciencesNeutrino detectors010303 astronomy & astrophysicsInstrumentationMathematical Physics010308 nuclear & particles physicsbusiness.industryhep-exDeep learningCluster findingDetectorNeutrino detectorComputer engineeringOrders of magnitude (time)13. Climate actionCascadeCalibrationPattern recognition (psychology)Artificial intelligencebusiness
researchProduct