Search results for "Uncertainty"

showing 10 items of 1010 documents

Review of clinical brachytherapy uncertainties: Analysis guidelines of GEC-ESTRO and the AAPM

2014

Background and purpose: A substantial reduction of uncertainties in clinical brachytherapy should result in improved outcome in terms of increased local control and reduced side effects. Types of uncertainties have to be identified, grouped, and quantified. Methods: A detailed literature review was performed to identify uncertainty components and their relative importance to the combined overall uncertainty. Results: Very few components (e.g., source strength and afterloader timer) are independent of clinical disease site and location of administered dose. While the influence of medium on dose calculation can be substantial for low energy sources or non-deeply seated implants, the influence…

OncologyRadiology Nuclear Medicine and imagingNeoplasmsDosimetryPractice Guidelines as TopicBrachytherapyUncertaintyHumansHematologyDose Fractionation RadiationGuidelinesUncertaintiesTreatment planning
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Corrigendum to “Registration of surfaces minimizing error propagation for a one-shot multi-slit hand-held scanner” [Pattern Recognition 41 (6) 2055–2…

2009

One shotScannerPropagation of uncertaintybusiness.industryComputer scienceHand heldPattern recognitionSlitArtificial IntelligenceSignal ProcessingPattern recognition (psychology)Computer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwarePattern Recognition
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On the Reliability of Optimization Results for Trigeneration Systems in Buildings, in the Presence of Price Uncertainties and Erroneous Load Estimati…

2016

Cogeneration and trigeneration plants are widely recognized as promising technologies for increasing energy efficiency in buildings. However, their overall potential is scarcely exploited, due to the difficulties in achieving economic viability and the risk of investment related to uncertainties in future energy loads and prices. Several stochastic optimization models have been proposed in the literature to account for uncertainties, but these instruments share in a common reliance on user-defined probability functions for each stochastic parameter. Being such functions hard to predict, in this paper an analysis of the influence of erroneous estimation of the uncertain energy loads and pric…

OptimizationMathematical optimizationEngineeringenergy loadControl and OptimizationLinear programming020209 energyEnergy Engineering and Power TechnologyPrice02 engineering and technologycogeneration; trigeneration; buildings; optimization; linear programming; stochastic; uncertainty; sensitivity; energy loads; priceslcsh:TechnologyCogenerationbuildingSettore ING-IND/10 - Fisica Tecnica Industriale0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEngineering (miscellaneous)Integer programminglcsh:TTrigenerationRenewable Energy Sustainability and the Environmentbusiness.industryUncertaintylinear programmingcogenerationsensitivitybuildingsStochasticPower (physics)energy loadsProfitability indexStochastic optimizationElectricitybusinesspricesEnergy (miscellaneous)Efficient energy useEnergies; Volume 9; Issue 12; Pages: 1049
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Respondent Uncertainty and Ordering Effect on Willingness to Pay for Salt Marsh Conservation in the Brest Roadstead (France)

2017

International audience; This paper explores the potential link between the sensitivity of willingness to pay (WTP) to the order of presenting bid amounts in contingent valuation questions (ordering effect) and respondent uncertainty. The resource being valued is a public project to protect salt marshes against the spread of an invasive aquatic plant in the Brest roadstead (France). Valuation uncertainty is captured through a variant of payment card format where respondents are given the opportunity to report their WTP as either a single value (Option A) or an interval of values (Option B). The ordering effect is tested using both parametric models that ignore and control for the potential s…

Ordering effectEconomics and Econometricsmedia_common.quotation_subject010501 environmental sciences01 natural sciencesWillingness to paySalt marsh conservation0502 economics and businessEconomicsContingent valuationPreference uncertainty0105 earth and related environmental sciencesGeneral Environmental Sciencemedia_commonValuation (finance)Selection biasContingent valuationgeographyActuarial sciencegeography.geographical_feature_category05 social sciences[SHS.ECO]Humanities and Social Sciences/Economics and FinancePayment cardPayment card formatSalt marshRespondent[SDE]Environmental Sciences050202 agricultural economics & policyWelfare
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Comparing Boosting and Bagging for Decision Trees of Rankings

2021

AbstractDecision tree learning is among the most popular and most traditional families of machine learning algorithms. While these techniques excel in being quite intuitive and interpretable, they also suffer from instability: small perturbations in the training data may result in big changes in the predictions. The so-called ensemble methods combine the output of multiple trees, which makes the decision more reliable and stable. They have been primarily applied to numeric prediction problems and to classification tasks. In the last years, some attempts to extend the ensemble methods to ordinal data can be found in the literature, but no concrete methodology has been provided for preference…

Ordinal dataBoosting (machine learning)Preference learningEnsemble methodsComputer sciencebusiness.industryDecision tree learningDecision treesDecision treeLibrary and Information SciencesMachine learningcomputer.software_genreEnsemble learningBoostingMathematics (miscellaneous)RankingPattern recognition (psychology)Psychology (miscellaneous)Artificial intelligencePreference learningStatistics Probability and UncertaintybusinesscomputerRankings
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A Robustness Approach to Reliability

2012

Reliability of products is here regarded with respect to failure avoidance rather than probability of failure. To avoid failures, we emphasize variation and suggest some powerful tools for handling failures due to variation. Thus, instead of technical calculation of probabilities from data that usually are too weak for correct results, we emphasize the statistical thinking that puts the designers focus on the critical product functions. Making the design insensitive to unavoidable variation is called robust design and is handled by (i) identification and classification of variation, (ii) design of experiments to find robust solutions, and (iii) statistically based estimations of proper safe…

P-diagramsafety factorsSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologicavariationreliability predictionuncertaintySettore SECS-S/01 - Statistica
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Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets

2018

Actual land evapotranspiration (ET) is a key component of the global hydrological cycle and anessential variable determining the evolution of hydrological extreme events under different climate change scenarios. However, recently available ET products show persistent uncertainties thatare impeding a precise attribution of human-induced climate change. Here, we aim at comparing arange of independent global monthly land ET estimates with historical model simulations from theglobal water, agriculture, and biomes sectors participating in the second phase of the Inter-SectoralImpact Model Intercomparison Project (ISIMIP2a). Among the independent estimates, we use theEartH2Observe Tier-1 dataset …

PARAMETERIZATION010504 meteorology & atmospheric sciences0208 environmental biotechnologyREANALYSIS DATA02 engineering and technologyForcing (mathematics)01 natural sciencesISIMIP2aEnvironmental Science(all)Evapotranspirationddc:550Range (statistics)Cluster AnalysisMeteorology & Atmospheric SciencesWATERWater cycleuncertaintyGeneral Environmental ScienceUncertaintyVariance (accounting)Explained variationGLOBAL TERRESTRIAL EVAPOTRANSPIRATIONVariable (computer science)[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyPhysical SciencesLife Sciences & BiomedicinePROJECTHYDROLOGICAL MODELSevapotranspirationClimate changeEnvironmental Sciences & EcologySOIL-MOISTUREhydrological extreme eventsLAND-SURFACE MODELhydrological extreme events ; cluster analysis ; uncertainty ; ISIMIP2a ; evapotranspiration[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/HydrologyHydrological extreme events0105 earth and related environmental sciencesScience & TechnologyRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthPOTENTIAL EVAPOTRANSPIRATION020801 environmental engineeringEarth sciencesISIMIP2a; evapotranspiration; uncertainty; cluster analysis; hydrological extreme events13. Climate actionEnvironmental scienceEnvironmental SciencesHIGH-RESOLUTIONcluster analysis
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Uncertainty management in the measurements for the electric power quality analysis

2014

The paper deals with the uncertainty estimation in the measurements performed to assess the electric power quality. In a first steps, 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 combine and propagate through the measurement chain, four approaches are proposed and validated. These approaches entail a greater and greater uncertainty overestimation, but, at the same time, require less and less time and resources. Therefore, the four methodologies are perfectly adequate for the implementation of the PUMA (Procedure for Uncertainty Management) metho…

PUMA methodProcedure for Uncertainty Management methodEngineeringerror sourcemechanical measurementElectric power qualityMeasurement uncertaintypower supply qualitySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricimeasurement chainiterative methodUncertainty estimationmeasurement uncertainty managementSensitivity analysisPower measurementUncertainty analysiselectric power quality analysibusiness.industryUncertaintyData acquisitionInstrumentgeometrical measurementCurrent measurementiterative techniqueStandardPower quality analysiReliability engineeringmeasurement systemMeasuring instrumentMeasurement uncertaintybusinessSettore ING-INF/07 - Misure Elettriche E Elettroniche2014 IEEE International Energy Conference (ENERGYCON)
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Precise measurement of the neutrino mixing parameter θ23 from muon neutrino disappearance in an off-axis beam

2014

New data from the T2K neutrino oscillation experiment produce the most precise measurement of the neutrino mixing parameter theta_{23}. Using an off-axis neutrino beam with a peak energy of 0.6 GeV and a data set corresponding to 6.57 x 10^{20} protons on target, T2K has fit the energy-dependent nu_mu oscillation probability to determine oscillation parameters. Marginalizing over the values of other oscillation parameters yields sin^2 (theta_{23}) = 0.514 +0.055/-0.056 (0.511 +- 0.055), assuming normal (inverted) mass hierarchy. The best-fit mass-squared splitting for normal hierarchy is Delta m^2_{32} = (2.51 +- 0.10) x 10^{-3} eV^2/c^4 (inverted hierarchy: Delta m^2_{13} = (2.48 +- 0.10) …

Particle physicsGeneral PhysicsPhysics MultidisciplinaryMODELSGeneral Physics and AstronomyFOS: Physical sciencesMASS01 natural sciences09 EngineeringHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Physics and Astronomy (all)0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]SCATTERINGMuon neutrino010306 general physicsNeutrino oscillationDETECTORMixing (physics)01 Mathematical SciencesPhysicsNeutronsScience & Technology02 Physical Sciences010308 nuclear & particles physicsScatteringOscillationhep-exPhysicsFísicaT2K CollaborationPhysical SciencesSYMMETRIESHigh Energy Physics::ExperimentNeutrinoHigh energy physics Mixing Parameter estimation Parameter extractionConfidence limit Energy dependent Neutrino oscillations Off-axis neutrino beam Oscillation parameters Oscillation probabilities Precise measurements Statistical uncertaintyBeam (structure)Energy (signal processing)
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Recent results on the meson and baryon spectrum from lattice QCD

2017

Recent lattice results on the meson and baryon spectrum with a focus on the determination of hadronic resonance masses and widths using a combined basis of single-hadron and hadron-hadron interpolating fields are reviewed. These mostly exploratory calculations differ from traditional lattice QCD spectrum calculations for states stable under QCD, where calculations with a full uncertainty estimate are already routinely performed. Progress and challenges in these calculations are highlighted.

Particle physicsMesonQC1-999High Energy Physics::LatticeLattice field theoryHadronNuclear TheoryFOS: Physical sciences01 natural sciencesUncertainty estimateHigh Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)Lattice (order)0103 physical sciences010306 general physicsNuclear ExperimentPhysicsQuantum chromodynamics010308 nuclear & particles physicsPhysicsHigh Energy Physics::PhenomenologyHigh Energy Physics - Lattice (hep-lat)Lattice QCDBaryonHigh Energy Physics - PhenomenologyHigh Energy Physics::Experiment
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