Search results for "Dimension"

showing 10 items of 2766 documents

Kinetics of phase separation in polymer blends for deep quenches

1986

Electro microscopy was used to study the phase separation kinetics of a polystyrene/polyvinylmethylether system subjected to a critical deep quench. The size of the phase-separated domains was found to increase linearly with time, implying that hydrodynamic effects control the rate of growth of the domains in the time scale and temperature range under consideration. From these measurements the growth velocity and approximate diffusion constants can be determined for three different temperatures. Comparison of these results with those obtained by light scattering on other systems and with theoretical predictions is possible by replotting in dimensionless units.

QuenchingSpinodalPolymers and PlasticsChemistryKineticsMineralogyThermodynamicsAtmospheric temperature rangeCondensed Matter PhysicsLight scatteringchemistry.chemical_compoundCritical point (thermodynamics)Materials ChemistryPolystyrenePhysical and Theoretical ChemistryDimensionless quantityJournal of Polymer Science Part B: Polymer Physics
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Providing QOS in 3G-WLAN environment with RSVP and DIFFSERV

2006

Here we present the end-to-end QoS mechanism in 3G-multiaccess network environment. As multi-access wireless WLAN and wired xDSL wideband multi-access technologies has emerge and become more popular a need for interoperability with different technologies and domains has become necessity. There is also a need for end-to-end QoS management. We show a scenario where the UE-GGSN connection is covered by RSVP and RAN network part uses partial over dimensioning and real-time controlled ATM queuing. DiffServ covers WLAN-Core QoS and radio interface between WLAN AP and WLAN UE uses IEEE's 802.11e. Our interest is to find out how well 3G traffic classes can survive in different traffic conditions in…

Queueing theorybusiness.industryComputer scienceQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSInteroperabilitylaw.inventionDigital subscriber linelawWirelessWi-FiWidebandbusinessDimensioningComputer network
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Intermolecular potential and rovibrational states of the H2O–D2 complex

2012

International audience; A five-dimensional intermolecular potential for H2O-D-2 was obtained from the full nine-dimensional ab initio potential surface of Valiron et al. [P. Valiron, M. Wernli, A. Faure, L. Wiesenfeld, C. Rist, S. Kedzuch, J. Noga, J. Chem. Phys. 129 (2008) 134306] by averaging over the ground state vibrational wave functions of H2O and D-2. On this five-dimensional potential with a well depth D-e of 232.12 cm (1) we calculated the bound rovibrational levels of H2O-D-2 for total angular momentum J = 0-3. The method used to compute the rovibrational levels is similar to a scattering approach-it involves a basis of coupled free rotor wave functions for the hindered internal r…

ROTATION-TUNNELING STATESWater dimerAb initioGeneral Physics and AstronomyHYDROGEN MOLECULES01 natural sciencesEIGENVALUESAMORPHOUS ICETotal angular momentum quantum numberEXCITATION0103 physical sciencesGRID HAMILTONIAN METHODIsotopologuePhysical and Theoretical ChemistryTheoretical ChemistryWave function010303 astronomy & astrophysicsVIBRATION010304 chemical physicsChemistryIntermolecular forceRotational–vibrational spectroscopyAB-INITIO TREATMENTWATER DIMERAtomic physicsCOUPLED 6-DIMENSIONAL CALCULATIONSGround stateChemical Physics
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Analyzing assessors and products in sorting tasks: DISTATIS, theory and applications

2007

Abstract In this paper we present a new method called distatis that can be applied to the analysis of sorting data. D istatis is a generalization of classical multidimensional scaling which allows one to analyze 3-ways distance tables. When used for analyzing sorting tasks, distatis takes into account individual sorting data. Specifically, when distatis is used to analyze the results of an experiment in which several assessors sort a set of products, we obtain two types of maps: One for the assessors and one for the products. In these maps, the proximity between two points reflects their similarity, and therefore these maps can be read using the same rules as standard metric multidimensiona…

RV coefficientNutrition and DieteticsSimilarity (geometry)GeneralizationSortingcomputer.software_genreSet (abstract data type)Metric (mathematics)sortData miningMultidimensional scalingAlgorithmcomputerFood ScienceMathematicsFood Quality and Preference
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DISTATIS: The Analysis of Multiple Distance Matrices

2006

In this paper we present a generalization of classical multidimensional scaling called DISTATIS which is a new method that can be used to compare algorithms when their outputs consist of distance matrices computed on the same set of objects. The method first evaluates the similarity between algorithms using a coefficient called the RV coefficient. From this analysis, a compromise matrix is computed which represents the best aggregate of the original matrices. In order to evaluate the differences between algorithms, the original distance matrices are then projected onto the compromise. We illustrate this method with a "toy example" in which four different "algorithms" (two computer programs …

RV coefficientSet (abstract data type)Matrix (mathematics)Similarity (network science)Computer scienceGeneralizationbusiness.industryMultidimensional scalingArtificial intelligenceMultidimensional systemsbusinessDistance matrices in phylogeny2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
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Billion-Fold Enhancement in Sensitivity of Nuclear Magnetic Resonance Spectroscopy for Magnesium Ions in Solution

2014

Beta-nuclear magnetic resonance (NMR) spectroscopy is highly sensitive compared to conventional NMR spectroscopy, and may be applied for several elements across the periodic table. Beta-NMR has previously been successfully applied in the fields of nuclear and solid-state physics. In this work, beta-NMR is applied, for the first time, to record an NMR spectrum for a species in solution. 31Mg b-NMR spectra are measured for as few as 10^7 magnesium ions in ionic liquid (EMIM-Ac) within minutes, as a prototypical test case. Resonances are observed at 3882.9 and 3887.2 kHz in an external field of 0.3 T. The key achievement of the current work is to demonstrate that beta-NMR is applicable for the…

RadioisotopesMagnetic Resonance SpectroscopyChemistryCarbon-13 NMR satelliteIonic liquid (EMIM-Ac)Analytical chemistryIonic Liquids31MgNuclear magnetic resonance spectroscopyFluorine-19 NMRNuclear magnetic resonance crystallographyCarbon-13 NMRAtomic and Molecular Physics and OpticsSolutionsnucelar magnetci resonanceSolid-state nuclear magnetic resonanceMagnesiumPräzisionsexperimente - Abteilung BlaumPhysical and Theoretical ChemistryTwo-dimensional nuclear magnetic resonance spectroscopyEarth's field NMR
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Left ventricular hypertrophy or storage disease? the incremental value of speckle tracking strain bull's-eye

2017

Left ventricular hypertrophy (LVH) develops in response to a variety of physical, genetic, and biochemical stimuli and represents the early stage of ventricular remodeling. In patients with LVH, subclinical left ventricular (LV) dysfunction despite normal ejection fraction (EF) may be present before the onset of symptoms, which portends a dismal prognosis. Strain measurement with two-dimensional speckle tracking echocardiography (STE) represents a highly reproducible and accurate alternative to LVEF determination. The present review focuses on current available evidence that supports the incremental value of STE in the diagnostic and prognostic workup of LVH. When assessing the components o…

Radiology Nuclear Medicine and ImagingSpeckle tracking echocardiographyDisease030204 cardiovascular system & hematologyLeft ventricular hypertrophytwo-dimensional strain0302 clinical medicineCardiomegaly Exercise-Induced030212 general & internal medicineanabolic steroidSubclinical infectionamyloidosiEvidence-Based MedicineEjection fractionHypertrophic cardiomyopathyleft ventricular hypertrophyEchocardiographyCardiologyElasticity Imaging TechniquesHypertrophy Left VentricularRadiologyCardiomyopathiesCardiology and Cardiovascular MedicineHumanendocrine systemmedicine.medical_specialtyarterial hypertensionReproducibility of ResultSensitivity and SpecificityDiagnosis Differential03 medical and health sciencesElasticity Imaging TechniqueInternal medicinemedicineathlete's heartHumanscardiovascular diseasesVentricular remodelingspeckle tracking echocardiographyCardiomyopathiebusiness.industryReproducibility of ResultsStroke Volumeaortic stenosiImage Enhancementmedicine.diseasehypertrophic cardiomyopathyDifferential diagnosisMetabolism Inborn ErrorbusinessMetabolism Inborn Errors
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Flow resistance of overland flow on a smooth bed under simulated rainfall

2020

In this paper a recently theoretically deduced flow resistance equation, based on a power-velocity profile, was tested using laboratory measurements by Yoon and Wenzel for an overland flow on a smooth bed under rainfall. These measurements of the Darcy-Weisbach friction factor, corresponding to a wide range of the flow Reynolds number (191–5700), were carried out for an overland flow under a simulated rainfall characterized by different intensity values ranging from 13 to 381 mm h−1. At first, the available measured values of flow velocity, water depth, cross sectional area, wetted perimeter and bed slope were used to calibrate the relationship between the velocity profile parameter Γ, the …

RainfallDimensional analysi010504 meteorology & atmospheric sciencesFlow (psychology)01 natural sciencessymbols.namesakeWetted perimeterOverland flowVelocity profileFroude numberRange (statistics)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0105 earth and related environmental sciencesEarth-Surface ProcessesTurbulenceReynolds number04 agricultural and veterinary sciencesMechanicsSelf-similarityFlow velocityFlow resistance040103 agronomy & agriculturesymbols0401 agriculture forestry and fisheriesGeologyIntensity (heat transfer)
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Inferring networks from high-dimensional data with mixed variables

2014

We present two methodologies to deal with high-dimensional data with mixed variables, the strongly decomposable graphical model and the regression-type graphical model. The first model is used to infer conditional independence graphs. The latter model is applied to compute the relative importance or contribution of each predictor to the response variables. Recently, penalized likelihood approaches have also been proposed to estimate graph structures. In a simulation study, we compare the performance of the strongly decomposable graphical model and the graphical lasso in terms of graph recovering. Five different graph structures are used to simulate the data: the banded graph, the cluster gr…

Random graphClustering high-dimensional dataPenalized likelihoodTheoretical computer scienceConditional independenceDecomposable Graphical Models.Computer scienceCluster graphMixed variablesGraphical modelMutual informationPenalized Gaussian Graphical ModelSettore SECS-S/01 - Statistica
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Dynamic integration of classifiers in the space of principal components

2003

Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble to be successful, it should consist of accurate and diverse base classifiers. However, it is also important that the integration procedure in the ensemble should properly utilize the ensemble diversity. In this paper, we present an algorithm for the dynamic integration of classifiers in the space of extracted features (FEDIC). It is based on the technique of dynamic integration, in which local accuracy estimates are calculated for each base classifier of an ensemble, in the neighborhood of a new instance to be pr…

Random subspace methodInformation extractionComputingMethodologies_PATTERNRECOGNITIONComputer sciencePrincipal component analysisFeature extractionData miningcomputer.software_genrecomputerClassifier (UML)Numerical integrationInformation integrationCurse of dimensionality
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