Search results for "Data analysi"

showing 10 items of 391 documents

Changes in power curve shapes as an indicator of fatigue during dynamic contractions.

2010

The purpose of this study was to analyze exercise-induced leg fatigue during a dynamic fatiguing task by examining the shapes of power vs. time curves through the combined use of several statistical methods: B-spline smoothing, functional principal components and (supervised and unsupervised) classification. In addition, granulometric size distributions were also computed to allow for comparison of curves coming from different subjects. Twelve physically active men participated in one acute heavy-resistance exercise protocol which consisted of five sets of 10 repetition maximum leg press with 120 s of rest between sets. To obtain a smooth and accurate representation of the data, a basis of …

AdultMaleMultivariate statisticsBiomedical EngineeringBiophysicsKinematicsPower lawModels BiologicalStatisticsHumansOrthopedics and Sports MedicineComputer SimulationMuscle SkeletalMathematicsLegbusiness.industryRehabilitationFunctional data analysisContrast (statistics)Pattern recognitionPrincipal component analysisMuscle FatiguePhysical EnduranceArtificial intelligencebusinessSmoothingCurse of dimensionalityMuscle ContractionJournal of biomechanics
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Observation of time-invariant coherence in a room temperature quantum simulator

2015

The ability to live in coherent superpositions is a signature trait of quantum systems and constitutes an irreplaceable resource for quantum-enhanced technologies. However, decoherence effects usually destroy quantum superpositions. It has been recently predicted that, in a composite quantum system exposed to dephasing noise, quantum coherence in a transversal reference basis can stay protected for indefinite time. This can occur for a class of quantum states independently of the measure used to quantify coherence, and requires no control on the system during the dynamics. Here, such an invariant coherence phenomenon is observed experimentally in two different setups based on nuclear magnet…

Quantum PhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics - Data Analysis Statistics and ProbabilityMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesNuclear Experiment (nucl-ex)Quantum Physics (quant-ph)Nuclear ExperimentData Analysis Statistics and Probability (physics.data-an)
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Do firms share the same functional form of their growth rate distribution? A statistical test

2014

We introduce a new statistical test of the hypothesis that a balanced panel of firms have the same growth rate distribution or, more generally, that they share the same functional form of growth rate distribution. We applied the test to European Union and US publicly quoted manufacturing firms data, considering functional forms belonging to the Subbotin family of distributions. While our hypotheses are rejected for the vast majority of sets at the sector level, we cannot rejected them at the subsector level, indicating that homogenous panels of firms could be described by a common functional form of growth rate distribution.

Economics and EconometricsControl and OptimizationFOS: Physical sciencesDistribution (economics)Heterogeneous firmEDF testsFOS: Economics and businessMicroeconomicsGrowth rate distribution of individual firmEconomicsmedia_common.cataloged_instanceEuropean unionScalingmedia_commonStatistical hypothesis testingSettore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e FinanziarieStatistical Finance (q-fin.ST)EDF testbusiness.industryApplied MathematicsSettore FIS/01 - Fisica SperimentaleQuantitative Finance - Statistical FinanceProbability and statisticsVariance (accounting)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)North American Industry Classification SystemHeterogeneous firmsPhysics - Data Analysis Statistics and ProbabilityNull hypothesisbusinessData Analysis Statistics and Probability (physics.data-an)
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Girsanov Theorem for Multifractional Brownian Processes

2017

In this article we will present a new perspective on the variable order fractional calculus, which allows for differentiation and integration to a variable order, i.e. one differentiates (or integrates) a function along the path of a regularity function. The concept of multifractional calculus has been a scarcely studied topic within the field of functional analysis in the last 20 years. We develop a multifractional derivative operator which acts as the inverse of the multifractional integral operator. This is done by solving the Abel integral equation generalized to a multifractional order. With this new multifractional derivative operator, we are able to analyze a variety of new problems,…

Statistics and ProbabilityMathematics - Functional AnalysisModeling and SimulationProbability (math.PR)FOS: MathematicsPhysics::Data Analysis; Statistics and ProbabilityVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Mathematics - ProbabilityFunctional Analysis (math.FA)
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A fast algorithm for muon track reconstruction and its application to the ANTARES neutrino telescope.

2011

An algorithm is presented, that provides a fast and robust reconstruction of neutrino induced upward-going muons and a discrimination of these events from downward-going atmospheric muon background in data collected by the ANTARES neutrino telescope. The algorithm consists of a hit merging and hit selection procedure followed by fitting steps for a track hypothesis and a point-like light source. It is particularly well-suited for real time applications such as online monitoring and fast triggering of optical follow-up observations for multi-messenger studies. The performance of the algorithm is evaluated with Monte Carlo simulations and various distributions are compared with that obtained …

Optical telescopesAMANDASelection proceduresRobust reconstructionMonte Carlo methodAtmospheric muonsReal-time applicationNeutrino telescope01 natural sciencesHigh Energy Physics - ExperimentFast algorithmsHigh Energy Physics - Experiment (hep-ex)High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsDetectorMonte Carlo SimulationMonte Carlo methodsComputer simulationLIGHTddc:540Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaAlgorithmAlgorithmsFLUXOnline monitoring[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaNeutrino telescopeFOS: Physical sciencesTrack reconstructionOptical telescopeNuclear physicsMuon tracks0103 physical sciencesAngular resolutionLight sources010306 general physicsOptical follow-upDETECTORInstrumentation and Methods for Astrophysics (astro-ph.IM)MuonANTARESneutrino telescope; track reconstruction010308 nuclear & particles physicsCharged particlesTrack (disk drive)track reconstructionAstronomy and Astrophysics[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Physics - Data Analysis Statistics and ProbabilityFISICA APLICADAATMOSPHERIC NEUTRINOSNeutrino telescopesSYSTEMData Analysis Statistics and Probability (physics.data-an)
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Levy flights in confining environments: Random paths and their statistics

2013

We analyze a specific class of random systems that are driven by a symmetric L\'{e}vy stable noise. In view of the L\'{e}vy noise sensitivity to the confining "potential landscape" where jumps take place (in other words, to environmental inhomogeneities), the pertinent random motion asymptotically sets down at the Boltzmann-type equilibrium, represented by a probability density function (pdf) $\rho_*(x) \sim \exp [-\Phi (x)]$. Since there is no Langevin representation of the dynamics in question, our main goal here is to establish the appropriate path-wise description of the underlying jump-type process and next infer the $\rho (x,t)$ dynamics directly from the random paths statistics. A pr…

Chemical Physics (physics.chem-ph)Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)LogarithmFOS: Physical sciencesProbability density functionContext (language use)Mathematical Physics (math-ph)Function (mathematics)Condensed Matter PhysicsStability (probability)Lévy flightPhysics - Chemical PhysicsPhysics - Data Analysis Statistics and ProbabilityStatisticsMaster equationInvariant (mathematics)Data Analysis Statistics and Probability (physics.data-an)Condensed Matter - Statistical MechanicsMathematical Physics
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Hidden attractors on one path : Glukhovsky-Dolzhansky, Lorenz, and Rabinovich systems

2017

In this report, by the numerical continuation method we visualize and connect hidden chaotic sets in the Glukhovsky-Dolzhansky, Lorenz and Rabinovich systems using a certain path in the parameter space of a Lorenz-like system.

Computer sciencechaosChaoticFOS: Physical sciencesPhysics::Data Analysis; Statistics and ProbabilityParameter space01 natural sciences010305 fluids & plasmasRabinovich systemLorenz system0103 physical sciencesAttractorGlukhovsky–Dolzhansky systemApplied mathematics010301 acousticsEngineering (miscellaneous)kaaosteoriaApplied Mathematicsta111Lorenz-like systemNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNumerical continuationModeling and SimulationPath (graph theory)numeerinen analyysiChaotic Dynamics (nlin.CD)hidden attractorInternational Journal of Bifurcation and Chaos
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Status of the EPIC thin and medium filters on-board XMM-Newton after more than 10 years of operation II: analysis of in-flight data

2013

After more than ten years of operation of the EPIC camera on board the X-ray observatory XMM-Newton we have reviewed the status of its thin and medium filters by performing both analysis of data collected in-flight and laboratory measurements on on-ground back-up filters. We have investigated the status of the EPIC thin and medium filters by performing an analysis of the optical loading in the PN offset maps to gauge variations in the optical and UV transmission of the filters. We both investigated repeated observations of single optically bright targets and performed a statistical analysis of the extent of loading versus visual magnitude at different epochs. We report the results of these …

Physicsgenetic structuresbusiness.industryAstrophysics::High Energy Astrophysical PhenomenaX-Rays: XMM-Newton - X-rays: instrumentation - X-rays: filtersEPICXMM-Newton - X-rays: instrumentation - X-rays: filters [X-Rays]eye diseasesOn boardOpticsApparent magnitudeSettore FIS/05 - Astronomia E AstrofisicaTransmission (telecommunications)ObservatoryData analysisStatistical analysissense organsbusinessFlight data
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Study and Comparison of Surface Roughness Measurements

2014

Journées du Groupe de Travail en Modélisation Géométrique (GTMG'14), Lyon; This survey paper focus on recent researches whose goal is to optimize treatments on 3D meshes, thanks to a study of their surface features, and more precisely their roughness and saliency. Applications like watermarking or lossy compression can benefit from a precise roughness detection, to better hide the watermarks or quantize coarsely these areas, without altering visually the shape. Despite investigations on scale dependence leading to multi-scale approaches, an accurate roughness or pattern characterization is still lacking, but challenging for those treatments. We think there is still room for investigations t…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]watermarking.quality assessmentsaliencywatermarking[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]simplificationvisual perceptionsmoothing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingfeature-preservingcompression[ PHYS.PHYS.PHYS-DATA-AN ] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]multi-scale analysisvisual masking3D mesh[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an][PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an][ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]roughness[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Hydrogen non-equilibrium ionisation effects in coronal mass ejections

2020

This research has received funding from the Science and Technology Facilities Council (UK) through the consolidated grant ST/N000609/1 and the European Research Council (ERC) under the European Union Horizon 2020 research and innovation program (grant agreement No. 647214). D.H.M. would like to thank both the UK STFC and the ERC (Synergy grant: WHOLE SUN, grant Agreement No. 810218) for financial support. D.H.M. and P.P. would like to thank STFC for IAA funding under grant number SMC1-XAS012. This work used the DiRAC@Durham facility man-aged by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk. The equipment was funded by BEIS capital fundin…

Magnetohydrodynamics (MHD)010504 meteorology & atmospheric sciencesHydrogenSun: coronal mass ejections (CMEs)FOS: Physical scienceschemistry.chemical_elementAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics01 natural sciences7. Clean energycoronal mass ejections (CMEs) [un]Ionization0103 physical sciencesCoronal mass ejectionAstrophysics::Solar and Stellar AstrophysicsQB Astronomydata analysis [Methods]Sun: magnetic fields010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)QCQB0105 earth and related environmental sciencesPhysicsUV radiation [Sun]Sun: coronaAstronomy and Astrophysics3rd-DASPlasmaMagnetic fluxSolar windQC PhysicsAstrophysics - Solar and Stellar AstrophysicschemistrySpace and Planetary SciencePhysics::Space PhysicsPlasma diagnosticsMagnetohydrodynamicsAstronomy & Astrophysics
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