Search results for "Gradient"

showing 10 items of 725 documents

Color Correction for Image Stitching by Monotone Cubic Spline Interpolation

2015

This paper proposes a novel color correction scheme for image stitching where the color map transfer is modelled by a monotone Hermite cubic spline and smoothly propagated into the target image. A three-segments monotone cubic spline minimizing color distribution statistics and gradient differences with respect to both the source and target images is used. While the spline model can handle non-linear color maps, the minimization over the gradient differences limits strong alterations on the image structure. Adaptive heuristics are introduced to reduce the minimization search space and thus computational time. Experimental comparisons with respect to the state-of-the-art linear mapping model…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniImage stitchingDemosaicingSettore INF/01 - Informaticabusiness.industryColor correctionMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMonotone cubic interpolationPhotometric blendingCubic Hermite splineSmoothing splineColor transferComputer visionArtificial intelligenceColor transfer image stitching photometric blendingbusinessSpline interpolationThin plate splineAlgorithmImage gradientComputingMethodologies_COMPUTERGRAPHICSMathematics
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Non-cooperative Aerial Base Station Placement via Stochastic Optimization

2019

Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, damaged, or absent. Use cases comprise emergency response, wildfire suppression, surveillance, and cellular communications in crowded events to name a few. A central problem to enable this technology is to place such aerial base stations (AirBSs) in locations that approximately optimize the relevant communication metrics. To alleviate the limitations of existing algorithms, which require intensive and reliable communications among AirBSs or between the AirBSs and a central controller, this paper leverages stochastic…

Signal Processing (eess.SP)Computer scienceQuality of serviceDistributed computing05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyNetwork utilityCellular communicationBase station0508 media and communicationsControl theoryOptimization and Control (math.OC)0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringFOS: MathematicsStochastic optimizationUse caseElectrical Engineering and Systems Science - Signal ProcessingGradient descentMathematics - Optimization and Control
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Intrapulmonary 3He Gas Distribution Depending on Bolus Size and Temporal Bolus Placement

2008

OBJECTIVE: Dynamic ventilation (3)He-MRI is a new method to assess pulmonary gas inflow. As differing airway diameters throughout the ventilatory cycle can influence gas inflow this study intends to investigate the influence of volume and timing of a He gas bolus with respect to the beginning of the tidal volume on inspiratory gas distribution. MATERIALS AND METHODS: An ultrafast 2-dimensional spoiled gradient echo sequence (temporal resolution 100 milliseconds) was used for dynamic ventilation (3)He-MRI of 11 anesthetized and mechanically ventilated pigs. The applied (3)He gas bolus was varied in volume between 100 and 200 mL. A 150-mL bolus was varied in its application time after the beg…

Signal delayMaterials sciencePulmonary Gas ExchangeSwineVolume variationGeneral MedicineInflowHeliumMagnetic Resonance ImagingBolus (medicine)IsotopesRise timeAnesthesiaTemporal resolutionAdministration InhalationAnimalsRadiology Nuclear Medicine and imagingPulmonary VentilationLungSoftwareTidal volumeGradient echoBiomedical engineeringInvestigative Radiology
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Al-27 and Si-29 Solid-State NMR Characterization of Calcium-Aluminosilicate-Hydrate

2012

International audience; Calcium silicate hydrate (C-S-H) is the main constituent of hydrated cement paste and determines its cohesive properties. Because of the environmental impact of cement industry, it is more and more common to replace a part of the clinker in cement by secondary cementitious materials (SCMs). These SCMs are generally alumina-rich and as a consequence some aluminum is incorporated into the C-S-H. This may have consequences on the cohesion and durability of the material, and it is thus of importance to know the amount and the location of Al in C-S-H and what the parameters are that control these features. The present paper reports the Si-29 and Al-27 MAS NMR analyses of …

Silicon0211 other engineering and technologiesAnalytical chemistryMineralogychemistry.chemical_element02 engineering and technologyClinker (cement)Inorganic Chemistrychemistry.chemical_compound021105 building & constructionDISORDERED SOLIDSPhysical and Theoretical ChemistryCalcium silicate hydrateNUCLEAR-MAGNETIC-RESONANCECementPORTLAND CEMENTSSPECTROSCOPYELECTRIC-FIELD GRADIENTSResonanceCalcium aluminosilicateMQ-MAS NMR021001 nanoscience & nanotechnologyTRICALCIUM-SILICATEC-S-HALchemistrySolid-state nuclear magnetic resonance0210 nano-technologyHydrateALUMINUM INCORPORATION
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Diffuse and focused carbon dioxide and methane emissions from the Sousaki geothermal system, Greece

2006

[1] We report first data on chemical composition of the gas emitted by the geothermal system of Sousaki, Greece. Gas manifestations display typical geothermal gas composition with CO2 as the main component and CH4 and H2S as minor species. Soil gas composition derives from the mixing of two end-members (atmospheric air and geothermal gas). Soil CO2 fluxes range from<2 to 33,400 g m−2 d−1. The estimated diffuse output of hydrothermal CO2, estimated for an area of 0.015 km2, is about 630 g s−1, while a tentative estimation of CH4 diffuse output gave a value of about 1.15 g s−1. Point sources accounted for lower flux values of ∼26 g s−1 of CO2, ∼0.1 g s−1 of CH4 and ∼0.02 g s−1 of H2S.

Soil gasSettore GEO/07 - Petrologia E PetrografiaMineralogysoussaki carbon dioxide emissionsMethanechemistry.chemical_compoundGeophysicschemistryGreenhouse gasCarbon dioxideSoil waterGeneral Earth and Planetary SciencesEnvironmental scienceGas compositionChemical compositionGeothermal gradientGeophysical Research Letters
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Changes in fluid geochemistry and physico-chemical conditions of geothermal systems caused by magmatic input: The recent abrupt outgassing off the is…

2005

Abstract Hydrothermal systems and related vents can exhibit dramatic changes in their physico-chemical conditions over time as a response to varying activity in the feeding magmatic systems. Massive steam condensation and gas scrubbing processes of thermal fluids during their ascent and cooling cause further compositional changes that mask information regarding the conditions evolving at depth in the hydrothermal system. Here we propose a new stability diagram based on the CO2-CH4-CO-H2 concentrations in vapor, which aims at calculating the temperatures and pressures in hydrothermal reservoirs. To filter gas scrubbing effects, we have also developed a model for selective dissolution of CO2-…

Southern EuropeEastern HemisphereWorldPanareaGeochemistryHydrothermal circulationEuropeOutgassingItalyGeochemistry and PetrologyMagmaMessina [Sicily]EurasiaSeawaterSicilyVolatilesGeothermal gradientDissolutionGeologyLipari IslandThermal fluidsGeochimica et Cosmochimica Acta
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A method to transform a nonlocal model into a gradient one within elasticity and plasticity

2014

Abstract A method based on the principle of the virtual power (PVP) is presented, by which a mechanical problem of nonlocal elasticity, or plasticity, is transformed into one of gradient nature. Different Taylor series expansion techniques are applied to the driving local strain fields of the nonlocal problem, either full spatial expansion within the bulk volume, or uni-directional expansion along the normal to the thin boundary layer. This, at the limit when the boundary layer thickness tends to zero, makes the PVP of the nonlocal model transform itself into one featuring a counterpart gradient model. Also, for a class of “associated” nonlocal and gradient elasticity models (i.e. the kerne…

Spatial expansionNonlocal and gradient elasticity Nonlocal and gradient plasticity Higher order boundary conditionsMechanical EngineeringMathematical analysisGeneral Physics and AstronomyPlasticityBoundary layer thicknessMechanical ProblemBoundary layersymbols.namesakeMechanics of MaterialsVirtual powerTaylor seriessymbolsGeneral Materials ScienceElasticity (economics)Settore ICAR/08 - Scienza Delle CostruzioniMathematics
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Experimental Realization of a Dirac Monopole through the Decay of an Isolated Monopole

2017

We experimentally observe the decay dynamics of deterministically created isolated monopoles in spin-1 Bose-Einstein condensates. As the condensate undergoes a change between magnetic phases, the isolated monopole gradually evolves into a spin configuration hosting a Dirac monopole in its synthetic magnetic field. We characterize in detail the Dirac monopole by measuring the particle densities of the spin states projected along different quantization axes. Importantly, we observe the spontaneous emergence of nodal lines in the condensate density that accompany the Dirac monopole. We also demonstrate that the monopole decay accelerates in weaker magnetic field gradients.

Spin statesmagneetitHigh Energy Physics::LatticeQC1-999Magnetic monopoleFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmasQuantization (physics)Atomic and Molecular Physics0103 physical sciences010306 general physicskvanttifysiikkamagnetsSpin-½PhysicsCondensed Matter::Quantum Gasesta114PhysicsMagnetic field gradientMagnetic fieldQuantum Gases (cond-mat.quant-gas)quantum physicsQuantum electrodynamicsParticleCondensed Matter - Quantum GasesRealization (systems)Physical Review X
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Hunting active Brownian particles: Learning optimal behavior

2021

We numerically study active Brownian particles that can respond to environmental cues through a small set of actions (switching their motility and turning left or right with respect to some direction) which are motivated by recent experiments with colloidal self-propelled Janus particles. We employ reinforcement learning to find optimal mappings between the state of particles and these actions. Specifically, we first consider a predator-prey situation in which prey particles try to avoid a predator. Using as reward the squared distance from the predator, we discuss the merits of three state-action sets and show that turning away from the predator is the most successful strategy. We then rem…

Statistical Mechanics (cond-mat.stat-mech)Single clusterComputer scienceFOS: Physical sciencesCondensed Matter - Soft Condensed MatterSmall setActive matterSoft Condensed Matter (cond-mat.soft)Reinforcement learningStatistical physicsConcentration gradientSensory cueCondensed Matter - Statistical MechanicsBrownian motionPhysical Review E
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A fast and recursive algorithm for clustering large datasets with k-medians

2012

Clustering with fast algorithms large samples of high dimensional data is an important challenge in computational statistics. Borrowing ideas from MacQueen (1967) who introduced a sequential version of the $k$-means algorithm, a new class of recursive stochastic gradient algorithms designed for the $k$-medians loss criterion is proposed. By their recursive nature, these algorithms are very fast and are well adapted to deal with large samples of data that are allowed to arrive sequentially. It is proved that the stochastic gradient algorithm converges almost surely to the set of stationary points of the underlying loss criterion. A particular attention is paid to the averaged versions, which…

Statistics and ProbabilityClustering high-dimensional dataFOS: Computer and information sciencesMathematical optimizationhigh dimensional dataMachine Learning (stat.ML)02 engineering and technologyStochastic approximation01 natural sciencesStatistics - Computation010104 statistics & probabilityk-medoidsStatistics - Machine Learning[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]stochastic approximation0202 electrical engineering electronic engineering information engineeringComputational statisticsrecursive estimatorsAlmost surely[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]0101 mathematicsCluster analysisComputation (stat.CO)Mathematicsaveragingk-medoidsRobbins MonroApplied MathematicsEstimator[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]stochastic gradient[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]MedoidComputational MathematicsComputational Theory and Mathematicsonline clustering020201 artificial intelligence & image processingpartitioning around medoidsAlgorithm
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