Search results for "Names"

showing 10 items of 6843 documents

On numerical simulation of electromagnetic field effects in the combustion process

2018

This paper deals with a simplified model taking into account the interplay of compressible, laminar, axisymmetric flow and the electrodynamical effects due to Lorentz force’s action on the combustion process in a cylindrical pipe. The combustion process with Arrhenius kinetics is modelled by a single step exothermic chemical reaction of fuel and oxidant. We analyze non-stationary PDEs with 6 unknown functions: the 3 components of velocity, density, concentration of fuel and temperature. For pressure the ideal gas law is used. For the inviscid flow approximation ADI method is used. Some numerical results are presented.

Exothermic reactionElectromagnetic fieldMaterials science01 natural sciences010305 fluids & plasmasPhysics::Fluid Dynamicssymbols.namesakeLorentz forceInviscid flow0103 physical sciencesQA1-9390101 mathematicsPhysics::Chemical PhysicsIdeal gas law010102 general mathematicsaxisymmetric flowArrhenius kineticsLaminar flowMechanicslaminarAlternating direction implicit methodModeling and SimulationCompressibilitysymbolsLorentz forceAnalysisMathematicscompressibleMathematical Modelling and Analysis
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Gold nanoparticles/electrochemically expanded graphite composite: A bifunctional platform toward glucose sensing and SERS applications

2019

Abstract An integrated nanogold/expanded graphite based sensor was fabricated by a former electrochemical etching of the pencil lead electrode (PLE) and a later in-situ deposition of gold nanoparticles (AuNPs). The electrochemical pretreatment of PLE (EPLE) created a 3D graphene-like surface, enhanced the electrode surface area and facilitated the electron transfer ability within 5 min without any hazardous chemicals added. The obtained AuNPs/EPLE sensor had an excellent electrochemical response to glucose with a wide linear concentration range, from 0.05 to 38 mM and 38 to 60 mM, and a low detection limit of 5 μM (S/N = 3). Furthermore, the AuNPs/EPLE sensor was successfully employed to de…

Expanded graphiteGeneral Chemical EngineeringNanotechnology02 engineering and technology010402 general chemistryElectrochemistry01 natural sciencesAnalytical ChemistryElectron transfersymbols.namesakechemistry.chemical_compoundElectrochemistryGold nanoparticlesGraphiteBifunctionalDetection limitChemistryGlucose sensorSERS021001 nanoscience & nanotechnology0104 chemical sciencesColloidal goldSettore CHIM/09 - Farmaceutico Tecnologico ApplicativoElectrodesymbols0210 nano-technologyRaman scattering
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The Reinforcement Effect of Strain Gauges Embedded in Low Modulus Materials

2013

The reinforcement effect of electrical resistance strain gauges is well-described in the literature, especially for strain gauges installed on surface. This paper considers the local reinforcement effect of strain gauges embedded within low Young modulus materials. In particular, by using a simple theoretical model, already used for strain gauges installed on the surface, it proposes a simple formula that allows the user to evaluate the local reinforcement effect of a generic strain gauge embedded on plastics, polymer composites, etc. The theoretical analysis has been integrated by numerical and experimental analyses, which confirmed the reliability of the proposed model.

Experimental mechanicsLow modulusMaterials scienceHigh Energy Physics::LatticeMechanical EngineeringYoung's modulussymbols.namesakeElectrical resistance and conductanceMechanics of MaterialssymbolsPolymer compositesComposite materialReinforcementStrain gaugeStrain
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Limitation of carrier fringe methods in digital photoelasticity

2007

The carrier fringes method has been proposed in digital photoelasticity in combination with techniques such as Fourier transform and phase shifting method, without considering the influence of the isoclinics on the isochromatic patterns analysis. Unlike other optical methods as moire and holographic interferometry, in photoelasticity the light intensity emerging from a circular polariscope is related to both the isochromatic retardation and the isoclinic parameter. As it is shown by the theoretical analysis, owing to the misalignment between the principal stresses in the model and in the carrier, the computed retardation is affected by an error which is the same for all photoelastic methods…

Experimental mechanicsPhotoelasticityMaterials sciencebusiness.industryMechanical EngineeringMoiré patternHolographic interferometryAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsLight intensitysymbols.namesakeOpticsFourier transformsymbolsElectrical and Electronic Engineeringbusiness
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Splitting of surface-related phonons in Raman spectra of self-assembled GaN nanowires

2012

cited By 2; International audience; Micro Raman spectroscopy studies have been performed on GaN nanowires grown by Plasma-Assisted Molecular Beam Epitaxy on Silicon (111) substrate. From the analysis of experimental data, the emergence of a two peaks band located near 700 cm-1 has been attributed to the Raman scattering by surface-related phonons. We have analyzed the surface character of these two modes by changing the dielectric constant of the exterior medium and some experimental parameters. Furthermore, a theoretical model describing the nanowires ensemble by means of an effective dielectric function has been used to interpret the Raman scattering results. Those numerical simulations a…

Experimental parametersRaman scatteringMaterials sciencePhononNanowireGallium nitride02 engineering and technologyDielectricDielectric functions01 natural sciencessymbols.namesakechemistry.chemical_compoundCondensed Matter::Materials ScienceExperimental observation0103 physical sciencesTheoretical models010302 applied physicsSilicon (111) substrates[PHYS]Physics [physics]Condensed matter physicsNanowiresSurface phononGallium nitride021001 nanoscience & nanotechnologyCondensed Matter PhysicschemistryDielectric propertiesRaman spectroscopysymbolsPhononsPlasma-assisted molecular beam epitaxyMicro Raman Spectroscopy0210 nano-technologyRaman spectroscopyMolecular beam epitaxyRaman scatteringSurface phononMolecular beam epitaxy
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2020

We explore the potential of Tb- and Yb-doped InVO4, InTaO4, and InNbO4 for applications as phosphors for light-emitting sources. Doping below 0.2% barely change the crystal structure and Raman spec...

Experimental physicssymbols.namesakeMaterials scienceGeneral Chemical EngineeringRare earth ionsDopingAnalytical chemistrysymbolsPhosphorGeneral ChemistryCrystal structureLuminescenceRaman spectroscopyACS Omega
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Has palaeontology answers for some current environmental problems?

2021

History as an irreversible process has no role from a uniformitarian point of view in geology and palaeobiology. Contingency is another trait of history and particle palaeontology has its foundation on such principles. However, new approaches in physics and the theory of systems point out the need to consider a time arrow. Moreover, chance and necessity are interwoven in synergetics and self-organization theory and there may be some possibility of prediction. The global biota has a history resulting from a process of self-organization. A rich fossil record was produced during the Phanerozoic times and this fossil record shows us how life overcame several important crisis. A clear understand…

Extinctionextinction dynamical systems chaos self-organised criticality extinction vulnerability environment gaia hypothesisProcess (engineering)Gaia hypothesisPaleontologyBiotaQE701-760symbols.namesakePaleontologySystems theorysymbolsUniformitarianismContingencySynergetics (Haken)GeologySpanish Journal of Palaeontology
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Search for ultrarelativistic magnetic monopoles with the Pierre Auger Observatory

2016

We present a search for ultra-relativistic magnetic monopoles with the Pierre Auger Observatory. Such particles, possibly a relic of phase transitions in the early universe, would deposit a large amount of energy along their path through the atmosphere, comparable to that of ultrahigh-energy cosmic rays (UHECRs). The air shower profile of a magnetic monopole can be effectively distinguished by the fluorescence detector from that of standard UHECRs. No candidate was found in the data collected between 2004 and 2012, with an expected background of less than 0.1 event from UHECRs. The corresponding 90% confidence level (C.L.) upper limits on the flux of ultra-relativistic magnetic monopoles ra…

FLUORESCENCE YIELDAstronomymagnetic monopolemagnetic fieldAstrophysics7. Clean energy01 natural sciencesObservatoryUHE Cosmic Raysair-showerMonte Carlo010303 astronomy & astrophysicsMagnetic Monopolesmedia_commonPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Settore FIS/01 - Fisica SperimentaleAstrophysics::Instrumentation and Methods for Astrophysicscritical phenomenaFLUORESCENCE YIELD; ENERGY LOSS; DETECTORAugerMagnetic fieldobservatoryLorentz factorComputingMethodologies_DOCUMENTANDTEXTPROCESSINGsymbolsFísica nuclearfluorescenceAstrophysics - High Energy Astrophysical Phenomenaspatial distribution [showers]LorentzENERGY LOSSatmosphere [showers]energyFLUXNuclear and High Energy Physics[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]airmedia_common.quotation_subjectAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]Magnetic monopoleFOS: Physical sciencesCosmic rayNuclear physicssymbols.namesakecosmic rays0103 physical sciencesddc:530High Energy PhysicsDETECTORCiencias Exactasfluorescence [detector]Pierre Auger Observatorybackground010308 nuclear & particles physicsFísicaASTROFÍSICAUniversefluxultrarelativistic magnetic monopolesAir shower13. Climate actionExperimental High Energy PhysicsrelativisticgalaxyENERGY-LOSS
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Spectral band selection for vegetation properties retrieval using Gaussian processes regression

2020

Abstract With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. This paper introduces an automated spectral band analysis tool (BAT) based on Gaussian processes regression (GPR) for the spectral analysis of vegetation properties. The GPR-BAT procedure sequentially backwards removes the least contributing band in the regression model for a given variable until only one band is kept. GPR-BAT is implemented within the framework of the free ARTMO's MLRA (machine learning regression algorithms) toolbox, w…

FOS: Computer and information sciences010504 meteorology & atmospheric sciencesComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesComputer Science - Computer Vision and Pattern Recognition02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesStatistics - Applicationssymbols.namesakeFOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Computers in Earth SciencesGaussian processHyMap021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingGlobal and Planetary ChangeImage and Video Processing (eess.IV)Hyperspectral imagingRegression analysisVegetationSpectral bands15. Life on landElectrical Engineering and Systems Science - Image and Video ProcessingRegressionGeographyGround-penetrating radarsymbolsInternational Journal of Applied Earth Observation and Geoinformation
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Remote Sensing Image Classification with Large Scale Gaussian Processes

2017

Current remote sensing image classification problems have to deal with an unprecedented amount of heterogeneous and complex data sources. Upcoming missions will soon provide large data streams that will make land cover/use classification difficult. Machine learning classifiers can help at this, and many methods are currently available. A popular kernel classifier is the Gaussian process classifier (GPC), since it approaches the classification problem with a solid probabilistic treatment, thus yielding confidence intervals for the predictions as well as very competitive results to state-of-the-art neural networks and support vector machines. However, its computational cost is prohibitive for…

FOS: Computer and information sciences010504 meteorology & atmospheric sciencesComputer scienceMultispectral image0211 other engineering and technologiesMachine Learning (stat.ML)02 engineering and technologyLand cover01 natural sciencesStatistics - ApplicationsMachine Learning (cs.LG)Kernel (linear algebra)Bayes' theoremsymbols.namesakeStatistics - Machine LearningApplications (stat.AP)Electrical and Electronic EngineeringGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingContextual image classificationArtificial neural networkData stream miningProbabilistic logicSupport vector machineComputer Science - LearningKernel (image processing)symbolsGeneral Earth and Planetary Sciences
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