Search results for "RESOLUTION"

showing 10 items of 1928 documents

ATLAS

2020

The book provides a comprehensive overview of high-resolution and high-definition anorectal manometry (HRAM/HDAM), showing the possible benefits of a wider use of these techniques in clinical practice, as well as their limitations. Although these techniques provide fresh insights into anorectal function and offer a new perspective on the pathophysiologic mechanisms of many defecation disturbances, there is a need to clarify whether their use has beneficial effects on clinical management compared to conventional manometry. There is still a considerable way to go to gain the clinical diffusion of esophageal HRM, which has become the gold standard in studying esophageal motility. Indeed, many …

Settore MED/18 - Chirurgia GeneraleANORECTAL MANOMETRY HIGH RESOLUTION HIGH DEFINITION
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Accretion shock on CTTSs and its X-ray emission

2009

High spectral resolution X-ray observations of classical T Tauri stars (CTTSs) demonstrate the presence of plasma at T~2-3×10^6 K and ne~10^11-10^13 cm-3. Stationary models suggest that this emission is due to shock-heated accreting material. We address this issue by a 1-D hydrodynamic model of the impact of the accretion flow onto a chromosphere of a CTTS with the aim of investigating the stability of accretion shock and the role of the chromosphere. Our simulations include the effects of gravity, radiative losses from optically thin plasma, the thermal conduction and a detailed modeling of the stellar chromosphere. Here we present the results of a simulation based on the parameters of the…

Shock wavePhysicsPlanetary bow shocksAstrophysics::High Energy Astrophysical Phenomenainterplanetary shocksPlasmaAstrophysicsNumerical approximation and analysisThermal conductionAccretion (astrophysics)T Tauri starSettore FIS/05 - Astronomia E AstrofisicaX-ray emission spectra and fluorescenceRadiative transferHydrodynamicsAstrophysics::Solar and Stellar AstrophysicsAstrophysics::Earth and Planetary AstrophysicsSpectral resolutionChromosphereAstrophysics::Galaxy Astrophysics
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Estrategias emocionales en educación física a través del aprendizaje servicio: aplicación del programa siente jugando en alumnado de primaria

2019

Las emociones, la inteligencia emocional y la competencia socioemocional son algunos de los contenidos transversales que podemos desarrollar desde la Educación Física escolar. El juego motor es una fuente de estímulos y vivencias que favorece el desarrollo de las estructuras físicas y cerebrales que el alumnado de Primaria utilizará en su presente y futuro. El objeto de este estudio fue analizar las estrategias utilizadas para la resolución de conflictos tras la puesta en práctica de un programa de intervención denominado “Siente Jugando”, haciendo uso de la metodología Aprendizaje Servicio. La muestra estuvo formada por 93 participantes de Educación Primaria Obligatoria (EPO), de edades co…

Siente JugandoEarly childhood educationService-learningEmotional intelligencemedia_common.quotation_subjectEmotionsPrimary educationService-learningEmpathyEducationDevelopmental psychologyPhysical educationAprendizaje ServicioEmocionesConflict resolutionEducación FísicaDevelopmental and Educational PsychologyPhysical EducationPsychologyCompetence (human resources)Feel while playingmedia_commonPUBLICACIONES
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Multi-temporal and Multi-source Remote Sensing Image Classification by Nonlinear Relative Normalization

2016

Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignments of all kinds, and this hampers re-using models built for one image to be used successfully in other scenes. In order to adapt and transfer models across image acquisitions, one must be able to cope with datasets that are not co-registered, acquired under different illumination and atmospheric conditions, by different sensors, and with scarce ground references. Traditionally, methods based on histogram matching have been used. However, they fail when densities have very different shapes or when there is no corres…

Signal Processing (eess.SP)FOS: Computer and information sciences010504 meteorology & atmospheric sciencesHyperspectral imagingComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesNormalization (image processing)Computer Science - Computer Vision and Pattern Recognition02 engineering and technology3107 Atomic and Molecular Physics and Optics01 natural sciencesLaboratory of Geo-information Science and Remote SensingComputer vision910 Geography & travelMathematicsDomain adaptationContextual image classificationImage and Video Processing (eess.IV)1903 Computers in Earth SciencesPE&RCClassificationAtomic and Molecular Physics and OpticsComputer Science ApplicationsKernel method10122 Institute of GeographyKernel (image processing)Feature extractionFeature extractionVery high resolutionGraph-based methods1706 Computer Science ApplicationsFOS: Electrical engineering electronic engineering information engineeringLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesElectrical Engineering and Systems Science - Signal ProcessingEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingManifold alignmentbusiness.industryNonlinear dimensionality reductionHistogram matchingKernel methodsPattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingManifold learningArtificial intelligence2201 Engineering (miscellaneous)businessISPRS Journal of Photogrammetry and Remote Sensing
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Synergistic integration of optical and microwave satellite data for crop yield estimation

2019

Developing accurate models of crop stress, phenology and productivity is of paramount importance, given the increasing need of food. Earth observation (EO) remote sensing data provides a unique source of information to monitor crops in a temporally resolved and spatially explicit way. In this study, we propose the combination of multisensor (optical and microwave) remote sensing data for crop yield estimation and forecasting using two novel approaches. We first propose the lag between Enhanced Vegetation Index (EVI) derived from MODIS and Vegetation Optical Depth (VOD) derived from SMAP as a new joint metric combining the information from the two satellite sensors in a unique feature or des…

Signal Processing (eess.SP)FOS: Computer and information sciencesEarth observationCoefficient of determinationTeledetecció010504 meteorology & atmospheric sciencesEnhanced vegetation index0208 environmental biotechnologyFOS: Physical sciencesSoil Science02 engineering and technologyStatistics - Applications01 natural sciencesArticleModerate resolution imaging spectroradiometer (MODIS)Robustness (computer science)Machine learningLinear regressionFOS: Electrical engineering electronic engineering information engineeringFeature (machine learning)Kernel ridge regressionCrop yield estimationVegetation optical depthApplications (stat.AP)Electrical Engineering and Systems Science - Signal ProcessingComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerCrop yieldProcessos estocàsticsGeologyEnhanced vegetation indexAgro-ecosystems020801 environmental engineeringPhysics - Data Analysis Statistics and ProbabilityMetric (mathematics)Soil moisture active passive (SMAP)Data Analysis Statistics and Probability (physics.data-an)Imatges Processament
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Interpolation and Gap Filling of Landsat Reflectance Time Series

2018

Products derived from a single multispectral sensor are hampered by a limited spatial, spectral or temporal resolutions. Image fusion in general and downscaling/blending in particular allow to combine different multiresolution datasets. We present here an optimal interpolation approach to generate smoothed and gap-free time series of Landsat reflectance data. We fuse MODIS (moderate-resolution imaging spectroradiometer) and Landsat data globally using the Google Earth Engine (GEE) platform. The optimal interpolator exploits GEE ability to ingest large amounts of data (Landsat climatologies) and uses simple linear operations that scale easily in the cloud. The approach shows very good result…

Signal Processing (eess.SP)Image fusion010504 meteorology & atmospheric sciencesComputer scienceMultispectral image0211 other engineering and technologies02 engineering and technology01 natural sciencesReflectivitySpectroradiometerFOS: Electrical engineering electronic engineering information engineeringTime seriesElectrical Engineering and Systems Science - Signal ProcessingScale (map)Image resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingInterpolationDownscaling
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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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Improving the performance of acousto-optic tunable filters in imaging applications

2010

Acousto-optic tunable filters (AOTFs) can be used as spectral filters for the implementation of multispectral imaging systems. However, obtaining quality images is challenging. In this work, we propose several improvements that enable the use of these systems in quantitative spectroscopic imaging applications. The improvements are based on three pillars: 1. a finer spectral bandpass shaping by dynamically optimizing the radio frequency (rf) driving signal, 2. an extensive calibration process, and 3. careful image preprocessing that uses calibration data to correct some well known AOTF issues in imaging applications. A novel multispectral imaging instrument is built using commercial off-the-…

Signal generatorComputer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingSignalAtomic and Molecular Physics and OpticsComputer Science ApplicationsBand-pass filterElectronic engineeringComputer visionArtificial intelligenceRadio frequencyElectrical and Electronic EngineeringbusinessOptical filterImage resolutionJournal of Electronic Imaging
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Cell-average WENO with progressive order of accuracy close to discontinuities with applications to signal processing

2020

In this paper we translate to the cell-average setting the algorithm for the point-value discretization presented in S. Amat, J. Ruiz, C.-W. Shu, D. F. Y\'a\~nez, A new WENO-2r algorithm with progressive order of accuracy close to discontinuities, submitted to SIAM J. Numer. Anal.. This new strategy tries to improve the results of WENO-($2r-1$) algorithm close to the singularities, resulting in an optimal order of accuracy at these zones. The main idea is to modify the optimal weights so that they have a nonlinear expression that depends on the position of the discontinuities. In this paper we study the application of the new algorithm to signal processing using Harten's multiresolution. Se…

Signal processing0209 industrial biotechnologyDiscretizationComputer science02 engineering and technologyClassification of discontinuitiesCell-averageMathematics::Numerical Analysis020901 industrial engineering & automationImproved adaption to discontinuitiesNew optimal weightsPosition (vector)Multiresolution schemesFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - Numerical AnalysisSignal processingWENO65D05 65D17 65M06 65N0612 MatemáticasApplied MathematicsOrder of accuracyMatemática Aplicada020206 networking & telecommunicationsNumerical Analysis (math.NA)Expression (mathematics)Computational MathematicsNonlinear systemGravitational singularityAlgorithmApplied Mathematics and Computation
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Continuous Refocusing for Integral Microscopy with Fourier Plane Recording

2018

Integral or light field imaging is an attractive approach in microscopy, as it allows to capture 3D samples in just one shot and explore them later through changing the focus on particular depth planes of interest. However, it requires a compromise between spatial and angular resolution on the 2D sensor recording the microscopic images. A particular setting called Fourier Integral Microscope (FIMic) allows maximizing the spatial resolution for the cost of reducing the angular one. In this work, we propose a technique, which aims at reconstructing the continuous light field from sparse FIMic measurements, thus providing the functionality of continuous refocus on any arbitrary depth plane. Ou…

Signal processingMicroscopebusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstruction113 Computer and information scienceslaw.inventionLens (optics)symbols.namesakeOpticsFourier transformShearletlawMicroscopy0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingAngular resolutionbusinessImage resolutionLight field
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