Search results for "Uncertainty"

showing 10 items of 1010 documents

Measurement uncertainty impact on simplified load flow analysis in MV smart grids

2018

This work is focused on the measurement uncertainty impact on load flow analysis in medium voltage (MV) distribution networks. In more detail, the paper presents the uncertainty evaluation of a simplified load flow algorithm, which is based on the load power measurements at each secondary substation and one voltage measurement at the slack bus (i.e. the voltage at the MV bus bars of the primary substation). To reduce the costs of the monitoring system, the load flow algorithm makes use of LV load power measurements for all the substations except those of MV users, where MV transducers are usually already installed. The uncertainties on the algorithm input quantities (load powers and slack b…

MonitoringBusbar020209 energyMonte Carlo methodElectric load flowAdvanced metering infrastructure (AMI)02 engineering and technologySmart gridUncertainty evaluationElectric power system measurementPower quality analyzerSlack buspower system monitoringElectric power transmission networksControl theory0202 electrical engineering electronic engineering information engineeringpower quality analyzers (PQA)MedicinePower-flow studyload flow analysiSafety Risk Reliability and QualityInstrumentationbusiness.industryElectric power distributionPower (physics)Smart gridPower system measurementMeasurement uncertaintybusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheVoltage
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Montekarlo metodes pielietojums mērījumu nenoteiktības novērtēšanā

2022

Mērījumu nenoteiktība pastāv visiem mērījumiem. Darbā tiek aprakstītas mērījumu nenoteiktības novērtēšanas metodes. Tiek apskatīta metode, kas tiek aprakstīta GUM (Guide to the Expression of Uncertainty in Measurement) standartos un metode, kas balstīta uz Montekarlo simulācijām. Abas metodes tiek salīdzinātas gan ar kvantitatīvām, gan kvalitatīvām metodēm, izmantojot praktiskus piemērus.

Montekarlo metodeMontecarlo methodMērījumu nenoteiktībaMatemātikaMeasurment uncertainty
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The analytic hierarchy process with stochastic judgements

2014

The analytic hierarchy process (AHP) is a widely-used method for multicriteria decision support based on the hierarchical decomposition of objectives, evaluation of preferences through pairwise comparisons, and a subsequent aggregation into global evaluations. The current paper integrates the AHP with stochastic multicriteria acceptability analysis (SMAA), an inverse-preference method, to allow the pairwise comparisons to be uncertain. A simulation experiment is used to assess how the consistency of judgements and the ability of the SMAA-AHP model to discern the best alternative deteriorates as uncertainty increases. Across a range of simulated problems results indicate that, according to c…

Multicriteria decisionInformation Systems and ManagementGeneral Computer ScienceAnalytic network processAnalytic hierarchy processmulticriteriaMulticriteriaManagement Science and Operations ResearchDecision analysisIndustrial and Manufacturing EngineeringConsistency (database systems)EconometricsQA MathematicsuncertaintyQAta512ta218analytic hierarchy processMathematicsta212decision analysisStochastic multicriteria acceptability analysista214Analytic hierarchy processUncertaintysimulationRange (mathematics)Modeling and SimulationPairwise comparisonSimulationDecision analysisEuropean Journal of Operational Research
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Multivariate nonparametric tests in a randomized complete block design

2003

AbstractIn this paper multivariate extensions of the Friedman and Page tests for the comparison of several treatments are introduced. Related unadjusted and adjusted treatment effect estimates for the multivariate response variable are also found and their properties discussed. The test statistics and estimates are analogous to the traditional univariate methods. In test constructions, the univariate ranks are replaced by multivariate spatial ranks (J. Nonparam. Statist. 5 (1995) 201). Asymptotic theory is developed to provide approximations for the limiting distributions of the test statistics and estimates. Limiting efficiencies of the tests and treatment effect estimates are found in the…

Multivariate Friedman testStatistics and ProbabilityMultivariate statisticsNumerical AnalysisMultivariate analysisUnivariateNonparametric statisticsMultivariate normal distributionPitman efficiencyRotation invarianceMultivariate analysis of varianceFriedman testAffine invarianceStatisticsTest statisticSpatial rankStatistics Probability and UncertaintyMultivariate Page testMathematicsJournal of Multivariate Analysis
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Association between climate and new daily diagnoses of COVID-19

2020

AbstractBackgroundAlthough evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks, uncertainty remains concerning the real impact of climate factors on viral transmission. Methods. The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region, while information on daily weather parameters in the same area was downloaded from IlMeteo website, a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 to November 11, 2020. The number of new daily COVID-19 cases and meteorological da…

Multivariate analysisCoronavirus disease 2019 (COVID-19)Leadership and ManagementStrategy and Management2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity1% decrease in humidityWind speedmin and max temperatureand influence the likelihood or course of local COVID-19 outbreaks. Preventive measuresHealth Information Managementa renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11mean air temperature1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with &ltHealth Policy1 km/h increase in wind speed and day with rainfall were independently associated with 1.0%Significant differencehumidityUnivariateOutbreakHumidityand inversely correlated with meanmean wind speed and number of days with rainfall. Days of lockdownwhile information on daily weather parameters in the same area was downloaded from IlMeteo websitetesting policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.Background: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks0.3%uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto RegionGeography100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmissionAir temperaturemean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperatureBackground: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region while information on daily weather parameters in the same area was downloaded from IlMeteo website a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11 2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity and inversely correlated with mean min and max temperature mean wind speed and number of days with rainfall. Days of lockdown mean air temperature humidity mean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperature 1% decrease in humidity 1 km/h increase in wind speed and day with rainfall were independently associated with 1.0% 0.3% 1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with <100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmission and influence the likelihood or course of local COVID-19 outbreaks. Preventive measures testing policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.DemographyJournal of Hospital Management and Health Policy
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Probabilistic Flood Hazard Mapping Using Bivariate Analysis Based on Copulas

2017

This study presents a methodology to extract probabilistic flood hazard maps in an area subject to flood risk, taking into account uncertainties in the definition of design hydrographs. Particularly, the authors present a new method to produce probabilistic inundation and flood hazard maps in which the hydrological input (i.e., synthetic flood design event) to a 2D hydraulic model has been obtained by using a bivariate statistical analysis (copulas) to generate flood peak discharges and volumes. This study also aims to quantify the contribution of boundary conditions’ uncertainty in order to evaluate the effect of this uncertainty source on probabilistic flood hazard mapping. Different comb…

Multivariate statisticsFlood myth0208 environmental biotechnologyCopula (linguistics)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaProbabilistic logicHydrograph02 engineering and technologyBuilding and ConstructionBivariate analysisFlood Risk Mapping020801 environmental engineeringRisk managementFlood hazard mapping100-year floodStatisticsEconometricsEnvironmental scienceFlood risk and hazard mapping; Uncertainty analysis; Copula; Sicily.Uncertainty analysisSafety Risk Reliability and QualityUncertainty analysisCivil and Structural Engineering
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Position coding effects in a 2D scenario: the case of musical notation.

2013

How does the cognitive system encode the location of objects in a visual scene? In the past decade, this question has attracted much attention in the field of visual-word recognition (e.g., "jugde" is perceptually very close to "judge"). Letter transposition effects have been explained in terms of perceptual uncertainty or shared "open bigrams". In the present study, we focus on note position coding in music reading (i.e., a 2D scenario). The usual way to display music is the staff (i.e., a set of 5 horizontal lines and their resultant 4 spaces). When reading musical notation, it is critical to identify not only each note (temporal duration), but also its pitch (y-axis) and its temporal seq…

Musical notationCognitive systemsComputer sciencemedia_common.quotation_subjectBigramExperimental and Cognitive PsychologyENCODEcomputer.software_genreTransposition (music)Arts and Humanities (miscellaneous)PerceptionDevelopmental and Educational PsychologyReaction TimeHumansCritical conditionmedia_commonCommunicationbusiness.industryMusic psychologyUncertaintyGeneral MedicineReadingVisual PerceptionArtificial intelligencebusinesscomputerNatural language processingMusicActa psychologica
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Characters of relative p'-degree over normal subgroups

2013

Let Z be a normal subgroup of a finite group G , let ??Irr(Z) be an irreducible complex character of Z , and let p be a prime number. If p does not divide the integers ?(1)/?(1) for all ??Irr(G) lying over ? , then we prove that the Sylow p -subgroups of G/Z are abelian. This theorem, which generalizes the Gluck-Wolf Theorem to arbitrary finite groups, is one of the principal obstacles to proving the celebrated Brauer Height Zero Conjecture

Normal subgroupDiscrete mathematicsFinite groupConjectureBrauer's theorem on induced charactersSylow theoremsZero (complex analysis)Prime numberMathematics::Group TheoryMathematics (miscellaneous)Statistics Probability and UncertaintyAbelian groupMathematics::Representation TheoryMathematicsAnnals of Mathematics
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I comportamenti virtuosi tra rispetto delle norme e aspettative sociali

2020

Il capitolo si sofferma sull’azione rispetto alle norme spiegando come le aspettative sociali ricoprano un ruolo cruciale nella gestione delle informazioni utili per muoverci nell’ambiente in cui viviamo, giacchè ci consentono di ridurre l’incertezza derivante dall’assunzione di determinate scelte, di stimare quali possibili effetti avrà una nostra azione in un determinato tempo e in uno specifico contesto, o ancora di valutare quali possono essere le strategie che possiamo mettere in campo per ridurre la probabilità di una risposta indesiderata da parte degli altri. The chapter focuses on action with respect to the rules, explaining how social expectations play a crucial role in the man…

Norme aspettative sociali azione sociale incertezza legalità criminalitàSettore SPS/12 - Sociologia Giuridica Della Devianza E Mutamento SocialeNorms social expectations social action uncertainty legality crime
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Limits on entropic uncertainty relations

2010

We consider entropic uncertainty relations for outcomes of the measurements of a quantum state in 3 or more mutually unbiased bases (MUBs), chosen from the standard construction of MUBs in prime dimension. We show that, for any choice of 3 MUBs and at least one choice of a larger number of MUBs, the best possible entropic uncertainty relation can be only marginally better than the one that trivially follows from the relation by Maassen and Uffink for 2 bases.

Nuclear and High Energy PhysicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsState (functional analysis)Prime (order theory)Theoretical Computer ScienceCombinatoricsComputational Theory and MathematicsDimension (vector space)Entropic uncertaintyNuclear ExperimentMathematical PhysicsMutually unbiased basesMathematicsQuantum Information and Computation
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