Search results for "Bust"

showing 10 items of 1000 documents

Systematic handling of missing data in complex study designs : experiences from the Health 2000 and 2011 Surveys

2016

We present a systematic approach to the practical and comprehensive handling of missing data motivated by our experiences of analyzing longitudinal survey data. We consider the Health 2000 and 2011 Surveys (BRIF8901) where increased non-response and non-participation from 2000 to 2011 was a major issue. The model assumptions involved in the complex sampling design, repeated measurements design, non-participation mechanisms and associations are presented graphically using methodology previously defined as a causal model with design, i.e. a functional causal model extended with the study design. This tool forces the statistician to make the study design and the missing-data mechanism explicit…

Statistics and Probabilitymultiple imputationComputer sciencecomputer.software_genre01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicinenon-responseSampling design030212 general & internal medicine0101 mathematicsCausal modelta112Clinical study designInverse probability weightingSampling (statistics)non-participationMissing dataData sciencedoubly robust methodsSurvey data collectionData miningStatistics Probability and Uncertaintycomputerinverse probability weightingStatisticiancausal model with designJournal of Applied Statistics
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Stochastic algorithms for robust statistics in high dimension

2016

This thesis focus on stochastic algorithms in high dimension as well as their application in robust statistics. In what follows, the expression high dimension may be used when the the size of the studied sample is large or when the variables we consider take values in high dimensional spaces (not necessarily finite). In order to analyze these kind of data, it can be interesting to consider algorithms which are fast, which do not need to store all the data, and which allow to update easily the estimates. In large sample of high dimensional data, outliers detection is often complicated. Nevertheless, these outliers, even if they are not many, can strongly disturb simple indicators like the me…

Stochastic AlgorithmsAlgorithmes StochastiquesAlgorithmes RécursifsRecursive AlgorithmsStatistique RobusteAlgorithmes de Gradient StochastiquesAveragingStochastic Gradient AlgorithmsMoyennisationGrande DimensionRobust StatisticsFunctional DataDonnées Fonctionnelles[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]Geometric MedianHigh DimensionMédiane Géométrique
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Robust linear quadratic mean-field games in crowd-seeking social networks.

2013

We consider a social network where opinions evolve following a stochastic averaging process under the influence of adversarial disturbances. We provide a robust mean-field game model in the spirit of H∞-optimal control, establish existence of a mean-field equilibrium, and analyze its stochastic stability.

Stochastic controlContinuous-time stochastic processMathematical optimizationSocial networkStochastic processbusiness.industryControl (management)mean field gamesRobust controlStochastic neural networkbusinessGame theoryMathematical economicsMathematics
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A stochastic method for robustness analysis in sorting problems

2009

ELECTRE TRI is a multiple criteria decision aiding sorting method with a history of successful real-life applications. In ELECTRE TRI, values for certain parameters have to be provided. We propose a new method, SMAA-TRI, that is based on stochastic multicriteria acceptability analysis (SMAA), for analyzing the stability of such parameters. The stability analysis can be used for deriving robust conclusions. SMAA-TRI allows ELECTRE TRI to be used with uncertain, arbitrarily distributed values for weights, the lambda cutting level, and profiles. The method consists of analyzing finite spaces of arbitrarily distributed parameter values. Monte Carlo simulation is applied in this in order to desc…

Stochastic multicriteria acceptability analysisMathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer sciencebusiness.industryMonte Carlo methodManagement Science and Operations ResearchMultiple-criteria decision analysisIndustrial and Manufacturing EngineeringRisk analysis (business)Distributed parameter systemRobustness (computer science)Modeling and SimulationMultiple criteriaArtificial intelligenceELECTREbusinessRisk assessmentEuropean Journal of Operational Research
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Structural Stability

2020

The notion of structural stability was first introduced by the Russian math- ematicians Alexandr Andronov and Lev Pontryagin (cf. Andronov and Potryangin 1937). However, there are traces of such a concept in the work of the French math- ematician Henry Poincaré (cf. Poincaré 1880). In more recent years, interesting developments about structural stability included writings of important math- ematicians like Mauricìo Peixoto (cf. at least Peixoto 1960), Stephen Smale (cf. at least Smale 1971) and René Thom (1972, 1980) (see structural morpho- dynamics). From an intuitive point of view, structural stability refers to a particular systemic property known as robustness. Put in general terms, a s…

Structural Stability Pattern Robustness dynamical systems attractorsSettore M-FIL/05 - Filosofia E Teoria Dei Linguaggi
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Study of low-pressure suspension plasma spray nanostructured coating : structural characteristics and application in solid oxide fuel cell

2021

Suspension plasma spraying (SPS) has attracted more and more attention in terms of the preparation of nanostructured / sub-microstructured ceramic coatings. However, conventional SPS techniques are conducted under atmospheric pressure, which inevitably causes some disadvantages. Recently, a novel suspension spraying technology – low-pressure suspension plasma spraying (LPSPS) – was proposed, in which the sus-pension spraying process is conducted under low environmental pressure. Benefit from the significant impact of low pressure on the coating deposition, LPSPS is expected to improve the disadvantage of SPS as well as to obtain distinct coating structures not achievable in conventional SPS…

Structural characteristicsSpraying conditionsConditions de projectionSolid oxide fuel cellRevêtement céramique nanostructuréNanostructured ceramic coatingPile à combustible à oxyde solide[SPI.MAT] Engineering Sciences [physics]/MaterialsProjection plasma de suspension sous basse pressionCaractéristiques structurellesLow-Pressure suspension plasma spraying
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Hybrid Energy Storage for Underground Mining EV

2021

One of the main concerns when it comes to contributions to the carbon footprint is the consumption of fuel by vehicles, more specifically that of mining vehicles. One solution to this problem is replacing the combustion engine vehicles with electric vehicles. This also poses the problem of low power density. This paper proposes a solution of using supercapacitors and hybrid capacitors with the aim of investigating how they can affect the performance of electric vehicles. For this purpose, a background of fuel consumption and alternative solutions to the problem are discussed, a prototype was designed and built. It was found that when supercapacitors and hybrid capacitors were used in combin…

SupercapacitorBattery (electricity)Computer sciencebusiness.industryFossil fuelUnderground mining (hard rock)CombustionAutomotive engineeringlaw.inventionCapacitorHardware_GENERALlawFuel efficiencyCarbon footprintbusiness2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
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Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography

2018

The gold standard method to monitor heart rate variability (HRV) comprises measuring the time series of interbeat interval durations from electrocardiographic (ECG) recordings. However, due to the widespread use, simplicity and usability of photoplethysmographic (PPG) techniques, monitoring pulse rate variability (PRV) from pulse wave recordings has become a viable alternative to standard HRV analysis. The present study investigates the accuracy of PRV, measured as a surrogate of HRV, for the quantification of descriptive indexes computed in the time domain (mean, variance), frequency domain (low-to-high frequency power ratio LF/HF, HF band central frequency) and information domain (entropy…

Supine positionEntropy0206 medical engineeringBiomedical EngineeringHealth Informatics02 engineering and technologySettore ING-INF/01 - ElettronicaRobust regressionElectrocardiography03 medical and health sciences0302 clinical medicineHeart RatePhotoplethysmogramStatisticsHumansHeart rate variabilityTime domainPhotoplethysmographyMathematicsConditional entropyReproducibility of Results020601 biomedical engineeringFrequency domainSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E Informatica030217 neurology & neurosurgeryInterbeat interval
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Definition and Performance Evaluation of a Robust SVM Based Fall Detection Solution

2012

We propose an automatic approach to detect falls in home environment. A Support Vector Machine based classifier is fed by a set of selected features extracted from human body silhouette tracking. The classifier is followed by filtering operations taking into account the temporal nature of a video. The features are based on height and width of human body bounding box, the user's trajectory with her/his orientation, Projection Histograms and moments of order 0, 1 and 2. We study several combinations of usual transformations of the features (Fourier Transform, Wavelet transform, first and second derivatives), and we show experimentally that it is possible to achieve high performance using a si…

Support vector machineDiscrete wavelet transformWaveletMinimum bounding boxComputer sciencebusiness.industryRobustness (computer science)Margin classifierFeature extractionWavelet transformPattern recognitionArtificial intelligencebusiness2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
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HD-RTI: an adaptive multi-light imaging approach for the quality assessment of manufactured surfaces

2021

International audience; Reflectance Transformation Imaging (RTI) is a technique for estimating surface local angular reflectance from a set of stereo-photometric images captured with variable lighting directions. The digitization of this information fully fits into the industry 4.0 approach and makes it possible to characterize the visual properties of a surface. The proposed method, namely HD-RTI, is based on the coupling of RTI and HDR imaging techniques. This coupling is carried out adaptively according to the response at each angle of illumination. The proposed method is applied to five industrial samples which have high local variations of reflectivity because of their heterogeneity of…

Surface (mathematics)0209 industrial biotechnologyGeneral Computer ScienceComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyMachine visionSet (abstract data type)020901 industrial engineering & automationQuality (physics)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingRobustness (computer science)0202 electrical engineering electronic engineering information engineeringComputer visionComputingMethodologies_COMPUTERGRAPHICSCouplingbusiness.industryQuality assessmentGeneral Engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Variable (computer science)Quality inspection020201 artificial intelligence & image processingArtificial intelligenceMaterial AppearancebusinessPolynomial texture mapping
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