Search results for "error"

showing 10 items of 1643 documents

Liberal and Conservative Differential Item Functioning Detection Using Mantel-Haenszel and SIBTEST: Implications for Type I and Type II Error Rates

2004

The aim of this work was to determine, in terms of Type I and Type II error rates, the risks of applying various statistical procedures for evaluating differential item functioning. To this end, the authors carried out a simulation study in which the Mantel-Haenszel and SIBTEST procedures were applied in conjunction. The variables manipulated were sample size and distribution of ability between groups. Results indicated that, although there was a high rate of agreement between the procedures, the joint Type I and Type II error rate may vary substantially from that obtained when each of the procedures was applied separately. Furthermore, the authors analyzed empirical data to obtain informat…

Empirical dataEmpirical researchSample size determinationItem analysisMonte Carlo methodStatisticsDevelopmental and Educational PsychologyEconometricsDifferential item functioningCochran–Mantel–Haenszel statisticsEducationMathematicsType I and type II errorsThe Journal of Experimental Education
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Premio mundial de las artes 2001

2001

Se trata de la transcripción del borrador del discurso de José Vidal-Beneyto en la entrega del Premio Mundial de las Artes a Peter Brook (Encuentro Mundial de las Artes, 2001).

Encuentro Mundial de las ArtesValldignaSociedadGeneralitat ValencianaCulturaSurPazVidal-Beneyto JoséSolidaridadIntervenciones públicasAcciones: Acciones de una vida: Cultura y ArtesBarbarie terroristaMiseriaPremio Mundial de las ArtesPensamientoNorteAbundanciaExcelenciaArteValenciaValores
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Comparison Between Fractional Vegetation Cover Retrievals from Vegetation Indices and Spectral Mixture Analysis: Case Study of PROBA/CHRIS Data Over …

2009

Abstract: In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC) retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the European Space Agency (ESA) Project for On-Board Autonomy (PROBA) platform. The first methodology is based on empirical approaches using Vegetation Indices (VIs), in particular the Normalized Difference Vegetation Index (NDVI) and the Variable Atmospherically Resistant Index (VARI). The second methodology is based on the Spectral Mixture Analysis (SMA) technique, in which a Linear Spectral Unmixing model has been considered in order to retrieve the abundance of the different constituent materials within pixe…

Endmember010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologies550 - Earth sciences02 engineering and technologyLand coverlcsh:Chemical technology01 natural sciencesBiochemistryNormalized Difference Vegetation IndexArticleCHRISAnalytical ChemistryRoot mean squareFractional Vegetation Cover; Vegetation Indices; Spectral Mixture Analysis; PROBA; CHRISPROBAlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentation021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingFractional Vegetation CoverPixelVegetation15. Life on landAtomic and Molecular Physics and OpticsStandard errorSpectral Mixture AnalysisVegetation Indices
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La cultura del miedo

2004

EnemigoCulturaPrecariedadVidal-Beneyto JoséMedios de comunicaciónDisfunciones económicasLibertadesTerrorismoCivilizaciónPolíticaIncapacidadGobernantesPublicaciones: Obra periodística: Columnas y artículos de opiniónCiudadaníaMiedoGlobalizaciónCambio climáticoSegregaciónPobrezaIDEOLOGÍABushESTADOS UNIDOSDemocracia americanaDisfunciones socialesDerechos HumanosInseguridadSociedad del riesgoSociología
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Analysis of operator human errors in hydrogen refuelling stations: Comparison between human rate assessment techniques

2013

Abstract The use of hydrogen as an energy carrier for road transport appears to be an optimal solution for the reduction of greenhouse gas emissions. Nevertheless, the development of this technology depends on the growth and diffusion of production, storage and refuelling infrastructures together with accurate risk analyses to appropriately design the safety and management systems used in these plants. Moreover, to improve safety standards, it is also important to focus attention on the estimation of hazards related to human factors, as this is one of the major causes leading to accidental events, especially in complex industrial technology. The paper reports a case study relevant to operat…

Energy carrierRisk analysisRenewable Energy Sustainability and the EnvironmentComputer scienceFuzzy setFuzzy HEARTEnergy Engineering and Power TechnologySafety standardsCondensed Matter PhysicsHydrogen refuelling stationReliability engineeringRisk analysiFuel TechnologyIndustrial technologyGreenhouse gasManagement systemStorage unitHuman errorHuman error assessment and reduction techniqueCREAMSettore ING-IND/19 - Impianti Nucleari
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Domestic load forecasting using neural network and its use for missing data analysis

2015

Domestic demand prediction is very important for home energy management system and also for peak reduction in power system network. In this work, active and reactive power consumption prediction model is developed and analysed for a typical Southern Norwegian house for hourly power (active and reactive) consumptions and time information as inputs. In the proposed model, a neural network is adopted as a main technique and historical domestic load data of around 2 years are used as input. The available data has some measurement errors and missing segments. Before using the data for training purpose, missing and inaccurate data are considered and then it is used for testing the model. It is ob…

Energy management systemEngineeringElectric power systemObservational errorArtificial neural networkOperations researchbusiness.industryDistribution management systemAC powerMissing databusinessReliability engineeringPower (physics)
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Quality Assurance and Support Measures for Solar Cooling on System Level

2016

Abstract Within the IEA SHC Task 48 “Quality assurance and support measures for Solar Cooling” the analysis and evaluation of the systems has been one of the four main focuses. Here the activities are including the lab- and field-based characterization of the systems, the definition and application of performance figures, a guideline for a reliable monitoring procedure including methods for automated error detection and an updated overview on worldwide installed DEC systems including hints and good practice examples. They are furthermore leading to three different easy-to-use tools for solar cooling systems: The LCA tool considers environmental and energetic values for the evaluation, the P…

Engineering020209 energySystem evaluation02 engineering and technologyTask (project management)Solar air conditioningEnergy(all)Desiccant evaporative cooling0202 electrical engineering electronic engineering information engineeringSystem levelcomputer.programming_languageSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryLCAsystem characterization021001 nanoscience & nanotechnologyPlannerperformance figuresReliability engineering0210 nano-technologybusinessError detection and correctionQuality assurancecomputerdesign toolMonitoring proceduresystem monitoringEnergy Procedia
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An Adaptive Robust Predictive Current Control for Three-Phase Grid-Connected Inverters

2011

This paper presents an adaptive robust predictive current control (RPCC) for grid-connected three-phase inverters that exhibit zero steady-state current error. The error correction is achieved by means of an adaptive strategy that works in parallel with the deadbeat algorithm, therefore preserving the typical fast response of the predictive law. The resulting control adapts to any particular L or LCL filter by estimation of the resistive part of the filter. As a variety of the RPCC class of control, it offers the best tradeoff between robustness and speed. © 2009 IEEE.

EngineeringAdaptive controlThree-phase inverterGrid connected invertersElectric current controlElectric invertersTECNOLOGIA ELECTRONICAControl theoryRobustness (computer science)Active power filteringCurrent-controlled voltage source invertersFast responseElectrical and Electronic EngineeringActive filterAdaptive strategyActive filtersActive power filtering (APF)Power convertersbusiness.industryGrid-connectedPredictive current controlGridSteady-state currentsDeadbeat algorithmModel predictive controlCurrent-controlled voltage source inverter (VSI)Robust predictive current control (RPCC)Three-phaseControl and Systems EngineeringRobust controlLCL filtersError detection and correctionbusinessIEEE Transactions on Industrial Electronics
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Measuring of Geometrical Precision of Some parts Obtained by Asymmetric Incremental Forming Process After Trimming

2007

Asymmetric Incremental Forming exalts the advantages of Incremental Forming process since no dies are strictly necessary. In this way complex geometries may be manufactured with a very simple clamping equipment. On the other hand, this characteristic determines some intrinsic drawbacks which penalise its industrial suitability; first of all, the dimensional control of the manufactured part is a still open point for researchers all over the world. Several approaches have been already proposed in the last years to solve the problem, resulting only in partial solutions. At the same time, up to now, the numerical simulation did not supply significant aid to the designers, due to the problem com…

EngineeringComputer simulationbusiness.industryNumerical analysisForming processesMechanical engineeringControl engineeringTrial and errorFinite element methodClampingPoint (geometry)TrimmingAsymmetric Incremental Forming Processbusiness
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Uncertainty evaluation in the measurements for the electric power quality analysis

2013

The paper deals with the uncertainty estimation in the measurements performed to assess the electric power quality. In a first steps, according to the 'ISO - Guide to Expression of the Uncertainty in Measurements' all the error sources, which give a significant contribution to the combined uncertainty associated to the measurement results, are identified. Successively, in order to analyze how the errors propagate through the measurement chain, a Monte Carlo based approach is proposed. The method exploits an ad-hoc developed simulator of the measurement process, which takes into account the particular way of propagation of all the identified error sources. Eventually, with the aim of validat…

EngineeringElectric power qualitymeasurement standardpower system measurementMeasurement uncertaintyMonte Carlo methodpower supply qualitySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPower measurementpower quality analysisUncertainty analysisObservational errorelectric power quality analysiSeries (mathematics)business.industryProcess (computing)UncertaintyData acquisitionmeasurement uncertainty evaluationerror source identificationCurrent measurementExpression (mathematics)Reliability engineeringmeasurement systemISO standardguide to expression of the uncertainty in measurementMeasurement uncertaintybusinessad hoc developed simulatorNoiseAlgorithmSettore ING-INF/07 - Misure Elettriche E Elettronichemeasurement error
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