Search results for "Names"

showing 10 items of 6843 documents

Nonintrusive monitoring and quantitative analysis of strong laser-field-induced impulsive alignment

2004

We report the observation of impulsive alignment of $\mathrm{C}{\mathrm{O}}_{2}$ molecules produced through their interaction with a nonresonant, strong laser pulse. The periodic alignment is monitored using a polarization technique generally employed in optical Kerr effect experiments; the birefringence produced by alignment of the molecular sample is measured with a weak pulse, time-delayed with respect to the alignment pulse. The technique provides a signal proportional to $⟨{\mathrm{cos}}^{2}\phantom{\rule{0.2em}{0ex}}\ensuremath{\theta}⟩\ensuremath{-}\frac{1}{3}$, where $\ensuremath{\theta}$ is the polar angle between the molecular axis and the strong-field polarization axis. Experimen…

DYNAMICSPhysicsI-2BirefringenceKerr effectWave packetWAVE-PACKETSALIGNING MOLECULESPOLARIZABILITYPolarization (waves)Electromagnetic radiationAtomic and Molecular Physics and OpticsPULSESSchrödinger equationMOLECULAR ALIGNMENTMOLECULESsymbols.namesakeREVIVAL STRUCTURESPolarizabilityIonizationQuantum mechanicssymbolsAtomic physicsPhysical Review A
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Long-Range and Short-Range Structure of Proton-Conducting Y:BaZrO3

2011

Yttrium-doped barium zirconate (BZY) is the most promising candidate for proton-conducting ceramics and has been extensively studied in recent years. The detailed features of the crystal structure, both short-range and long-range, as well as the crystal chemistry driving the doping process, are largely unknown. We use very high resolution X-ray diffraction (HR-XRD) to resolve the crystal structure, which is very slightly tetragonally distorted in BZY, while the local environment around Zr4+ and Y3+ is probed with extended X-ray absorption fine structure (EXAFS), and the symmetry and vibrations are investigated by using Raman spectroscopy. It is found that barium zirconate shows some degree …

DYNAMICSRAMAN-SCATTERINGMaterials scienceCrystal chemistryGeneral Chemical EngineeringYTTRIUMRAMAN-SCATTERING; LOCAL ENVIRONMENT; BARIUM CERATE; SPECTROSCOPY; YTTRIUM; BAZR0.9Y0.1O2.95; STRONTIUM; DYNAMICS; DEFECTS; OXIDESCrystal structuresymbols.namesakeSTRONTIUMMaterials ChemistryLOCAL ENVIRONMENTBAZR0.9Y0.1O2.95OXIDESSpectroscopyProton conductorSPECTROSCOPYExtended X-ray absorption fine structureDopingDEFECTSGeneral ChemistryCrystallographysymbolsRaman spectroscopyBARIUM CERATERaman scatteringChemistry of Materials
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Application of time-resolved spectroscopy to concentration measurements in gas mixtures

2001

1296-2147; Concentration measurements using femtosecond Raman Induced Polarization Spectroscopy (RIPS) are performed in binary gas mixtures CO2-N2 and CO2-N2O at room temperature. The principle of these measurements is based on the nonlinear rotational time response of each molecular component of the mixture, The general form of this molecular response is a series of periodic transients with a period related to the rotational constant Be The relative strength of the individual responses allows an accurate determination of the concentration. Two techniques are presented using either two pulses (one pump and one probe) or three pulses (two pumps and one probe). (C) 2001 Academie des sciences/…

DYNAMICSmolecular concentrationMaterials scienceAnalytical chemistryGeneral Physics and Astronomy01 natural sciencesInduced polarizationsymbols.namesakeINDUCED POLARIZATION SPECTROSCOPYfemtosecond laser0103 physical sciencesMOLECULE010306 general physicsSpectroscopyPOPULATIONINTERFERENCE010304 chemical physicsTriatomic moleculeFEMTOSECONDDiatomic moleculeINVERSE RAMAN-SPECTROSCOPYROTATIONAL COHERENCEFemtosecondsymbolsCO2Rotational spectroscopyTime-resolved spectroscopyRaman spectroscopystimulated Raman effect
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A theoretically-based overland flow resistance law for upland grassland habitats

2022

Abstract Sediments conveyed from interrill areas to rills are transported by a thin flow (overland flow) and the knowledge of overland flow resistance is useful to evaluate overland flow velocity and sediment transport capacity. The aim of this paper was to verify the applicability of a theoretical overland flow resistance law, based on a power-velocity distribution, using field measurements for four upland grassland types used in different management strategies (Hay Meadows, Low-density Grazing, Rushes and Rank Grassland). Particular attention was deserved to the effects of vegetation growth cycles on the surface roughness and the corresponding reduction of overland flow velocity. The rela…

Darcy–Weisbach friction factor Flow resistance Grassland Overland flowgeographygeography.geographical_feature_categoryHydraulicsFlow (psychology)Reynolds numberVegetationSeasonalitymedicine.diseaseGrasslandlaw.inventionsymbols.namesakeLawFroude numbersymbolsmedicineEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSurface runoffEarth-Surface Processes
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Streamlining distributed Deep Learning I/O with ad hoc file systems

2021

With evolving techniques to parallelize Deep Learning (DL) and the growing amount of training data and model complexity, High-Performance Computing (HPC) has become increasingly important for machine learning engineers. Although many compute clusters already use learning accelerators or GPUs, HPC storage systems are not suitable for the I/O requirements of DL workflows. Therefore, users typically copy the whole training data to the worker nodes or distribute partitions. Because DL depends on randomized input data, prior work stated that partitioning impacts DL accuracy. Their solutions focused mainly on training I/O performance on a high-speed network but did not cover the data stage-in pro…

Data setWorkflowDistributed databaseProcess (engineering)Computer sciencebusiness.industryDeep learningDistributed computingComputer data storageData deduplicationArtificial intelligenceGlobal Namespacebusiness2021 IEEE International Conference on Cluster Computing (CLUSTER)
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Unusually high frequency natural VLF radio emissions observed during daytime in Northern Finland

2016

Geomagnetic field variations and electromagnetic waves of different frequencies are ever present in the Earth's environment in which the Earth's fauna and flora have evolved and live. These waves are a very useful tool for studying and exploring the physics of plasma processes occurring in the magnetosphere and ionosphere. Here we present ground-based observations of natural electromagnetic emissions of magnetospheric origin at very low frequency (VLF, 3–30 kHz), which are neither heard nor seen in their spectrograms because they are hidden by strong impulsive signals (sferics) originating in lightning discharges. After filtering out the sferics, peculiar emissions are revealed in these dig…

Daytime010504 meteorology & atmospheric sciencesWhistlerRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthMagnetosphereRadio atmosphericGeophysicsAtmospheric sciences01 natural sciencesPhysics::Geophysicssymbols.namesakeEarth's magnetic fieldVan Allen radiation beltPhysics::Space Physics0103 physical sciencessymbolsIonosphereVery low frequency010303 astronomy & astrophysics0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental Research Letters
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Optical calibration of a multispectral imaging system based on interference filters

2005

We present a new approach to optically calibrate a multispectral imaging system based on interference filters. Such a system typically suffers from some blurring of its channel images. Because the effectiveness of spectrum reconstruction depends heavily on the quality of the acquired channel images, and because this blurring negatively affects them, a method for deblurring and denoising them is required. The blur is modeled as a uniform intensity distribution within a circular disk. It allows us to characterize, quantitatively, the degradation for each channel image. In terms of global reduction of the blur, it consists of the choice of the best channel for the focus adjustment according to…

DeblurringComputer sciencebusiness.industryNoise reductionWiener filterMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringImage processingReal imageAtomic and Molecular Physics and OpticsMultispectral pattern recognitionsymbols.namesakeComputer Science::GraphicsInterference (communication)Computer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionArtificial intelligenceOptical filterFocus (optics)businessImage restorationOptical Engineering
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Building energy performance forecasting: A multiple linear regression approach

2019

Abstract Different ways to evaluate the building energy balance can be found in literature, including comprehensive techniques, statistical and machine-learning methods and hybrid approaches. The identification of the most suitable approach is important to accelerate the preliminary energy assessment. In the first category, several numerical methods have been developed and implemented in specialised software using different mathematical languages. However, these tools require an expert user and a model calibration. The authors, in order to overcome these limitations, have developed an alternative, reliable linear regression model to determine building energy needs. Starting from a detailed …

Decision support systemComputer scienceCalibration (statistics)020209 energy02 engineering and technologyManagement Monitoring Policy and LawBuilding energy demandsymbols.namesake020401 chemical engineeringLinear regression0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)0204 chemical engineeringReliability (statistics)Multiple linear regressionSettore ING-IND/11 - Fisica Tecnica AmbientaleMechanical EngineeringBuilding and ConstructionIndustrial engineeringPearson product-moment correlation coefficientDynamic simulationIdentification (information)Black box methodGeneral EnergysymbolsForecast methodSensitivity analysisDynamic simulation
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Multivariate Gaussian criteria in SMAA

2006

Abstract We consider stochastic multicriteria decision-making problems with multiple decision makers. In such problems, the uncertainty or inaccuracy of the criteria measurements and the partial or missing preference information can be represented through probability distributions. In many real-life problems the uncertainties of criteria measurements may be dependent. However, it is often difficult to quantify these dependencies. Also, most of the existing methods are unable to handle such dependency information. In this paper, we develop a method for handling dependent uncertainties in stochastic multicriteria group decision-making problems. We measure the criteria, their uncertainties and…

Decision support systemInformation Systems and ManagementGeneral Computer ScienceOperations researchStochastic processStochastic modellingContext (language use)Management Science and Operations ResearchIndustrial and Manufacturing Engineeringsymbols.namesakeJoint probability distributionModeling and SimulationStochastic simulationsymbolsProbability distributionGaussian processMathematicsEuropean Journal of Operational Research
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An automated image analysis methodology for classifying megakaryocytes in chronic myeloproliferative disorders

2008

This work describes an automatic method for discrimination in microphotographs between normal and pathological human megakaryocytes and between two kinds of disorders of these cells. A segmentation procedure has been developed, mainly based on mathematical morphology and wavelet transform, to isolate the cells. The features of each megakaryocyte (e.g. area, perimeter and tortuosity of the cell and its nucleus, and shape complexity via elliptic Fourier transform) are used by a regression tree procedure applied twice: the first time to find the set of normal megakaryocytes and the second to distinguish between the pathologies. The output of our classifier has been compared to the interpretati…

Decision treeReproducibility of ResultHealth InformaticsMathematical morphologySensitivity and SpecificityWavelet analysiPattern Recognition Automatedsymbols.namesakeWaveletMegakaryocyteMegakaryocyteArtificial IntelligenceImage Interpretation Computer-AssistedmedicineAnimalsHumansRadiology Nuclear Medicine and imagingComputer visionSegmentationMyeloproliferative DisorderCells Cultured1707MathematicsHealth InformaticMyeloproliferative DisordersSettore INF/01 - InformaticaRadiological and Ultrasound TechnologyAnimalbusiness.industryMorphometryReproducibility of ResultsWavelet transformPattern recognitionAutomatic classification; Elliptic Fourier transform; Morphometry; Wavelet analysis; Animals; Cells Cultured; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Megakaryocytes; Myeloproliferative Disorders; Pattern Recognition Automated; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Artificial Intelligence; Computer Graphics and Computer-Aided Design; 1707; Radiology Nuclear Medicine and Imaging; Health Informatics; Radiological and Ultrasound TechnologyImage EnhancementComputer Graphics and Computer-Aided DesignAlgorithmFourier transformmedicine.anatomical_structuresymbolsAutomatic classificationElliptic Fourier transformComputer Vision and Pattern RecognitionArtificial intelligencebusinessMegakaryocytesClassifier (UML)AlgorithmsHumanMedical Image Analysis
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