Search results for "Transform"

showing 10 items of 3975 documents

Heterogeneous Interactions between Gas-Phase Pyruvic Acid and Hydroxylated Silica Surfaces: A Combined Experimental and Theoretical Study

2019

The adsorption of gas-phase pyruvic acid (CH3COCOOH) on hydroxylated silica particles has been investigated at 296 K using transmission Fourier transform infrared (FTIR) spectroscopy and theoretical simulations. Under dry conditions (<1% relative humidity, RH), both the trans-cis (Tc) and trans-trans (Tt) pyruvic acid conformers are observed on the surface as well as the (hydrogen bonded) pyruvic acid dimer. The detailed surface interactions were further understood through ab initio molecular dynamics simulations. Under higher relative humidity conditions (above 10% RH), adsorbed water competes for surface adsorption sites. Adsorbed water is also observed to change the relative populations …

010304 chemical physicsHydrogenChemistryDimerInorganic chemistrychemistry.chemical_element010402 general chemistry01 natural sciences0104 chemical scienceschemistry.chemical_compoundAdsorption13. Climate action0103 physical sciencesRelative humidityPyruvic acid[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Physical and Theoretical ChemistryFourier transform infrared spectroscopySpectroscopyConformational isomerismComputingMilieux_MISCELLANEOUS
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Matrix isolation and quantum chemical studies on the H2O2–SO2complex

2004

Complexation and photochemical reactions of hydrogen peroxide and sulfur dioxide have been studied in solid Ar, Kr and Xe. Complexes between H2O2 and SO2 are characterized using Fourier transform infrared spectroscopy and ab initio calculations. In solid Ar, the H2O2–SO2 complex absorptions are found at wavenumbers of 3572.8, 3518.7, 3511.2, 3504.3, 1340.3, 1280.2 and 1149.9 cm−1. In Kr and Xe matrices, the bonded OH stretching frequencies deviate from the values in Ar, and we propose that the matrix surrounding influences the structure of the H2O2–SO2 complex. UV photolysis of the H2O2–SO2 was also studied in solid Ar, Kr and Xe. This photolysis produces mainly a complex between sulfur tri…

010304 chemical physicsPhotodissociationMatrix isolationGeneral Physics and Astronomy010402 general chemistry7. Clean energy01 natural sciences0104 chemical scienceschemistry.chemical_compoundMatrix (mathematics)chemistryComputational chemistryAb initio quantum chemistry methods0103 physical sciencesSulfur trioxidePhysical chemistryPhysical and Theoretical ChemistryFourier transform infrared spectroscopyHydrogen peroxideSulfur dioxidePhys. Chem. Chem. Phys.
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Equipping metallo-supramolecular macrocycles with functional groups: Assemblies of pyridine-substituted urea ligands

2012

A series of di-(m-pyridyl)-urea ligands were prepared and characterized with respect to their conformations by NOESY experiments and crystallography. Methyl substitution in different positions of the pyridine rings provides control over the position of the pyridine N atoms relative to the urea carbonyl group. The ligands were used to self-assemble metallo-supramolecular M(2)L(2) and M(3)L(3) macrocycles which are generated in a finely balanced equilibrium in DMSO and DMF according to DOSY NMR experiments and ESI FTICR mass spectrometry. Again, crystallography was used to characterize the assemblies. Methyl substitution in positions next to the pyridine nitrogen prevents coordination, while …

010405 organic chemistryHydrogen bondChemistryStereochemistrySupramolecular chemistryurea ligands; metallo-supramolecular macrocycles; X-ray structure; hydrogen-bonding010402 general chemistryMass spectrometry01 natural sciencesFourier transform ion cyclotron resonance0104 chemical sciencesInorganic ChemistrySubstituted ureaCrystallographychemistry.chemical_compoundPyridineUreaTwo-dimensional nuclear magnetic resonance spectroscopyta116Dalton Transactions
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Corrosion inhibition performance of a structurally well-defined 1,2,3-triazole derivative on mild steel-hydrochloric acid interface

2021

Abstract In the present work, a new 1,4-disubstituted-1,2,3-triazole product, named 4-[1-(4-methoxy-phenyl)-1H-[1,2,3]triazol-4-ylmethyl]-morpholine (MPTM) was successfully synthesized under click chemistry regime. The structure of the new compound that has a rigid triazole moiety and a flexible morpholine ligand has been characterized using 1H NMR, 13C NMR, HRMS, and FTIR spectroscopy. Its inhibition performance for mild steel in acidic medium 1 M HCl has been studied by utilizing a combination of experimental, spectroscopic and computational methods. The electrochemical characterization was carried out by a gravimetric study, electrochemical impedance spectroscopy (EIS), and potentiodynam…

010405 organic chemistryOrganic ChemistryLangmuir adsorption modelCarbon-13 NMR010402 general chemistry01 natural sciences0104 chemical sciencesAnalytical ChemistryDielectric spectroscopyInorganic Chemistrysymbols.namesakechemistry.chemical_compoundAdsorptionchemistryMorpholinesymbolsProton NMRFourier transform infrared spectroscopySpectroscopyDerivative (chemistry)Nuclear chemistryJournal of Molecular Structure
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Optimized Class-Separability in Hyperspectral Images

2016

International audience; Image visualization techniques are mostly based on three bands as RGB color composite channels for human eye to characterize the scene. This, however, is not effective in case of hyper-spectral images (HSI) because they contain dozens of informative spectral bands. To eliminate redundancy of spectral information among these bands, dimensionality reduction (DR) is applied while at the same trying to retain maximum information. In this paper, we propose a new method of information-preserved hyper-spectral satellite image visualization that is based on fusion of unsupervised band selection techniques and color matching function (CMF) stretching. The results show consist…

010504 meteorology & atmospheric sciencesBand SelectionComputer science0211 other engineering and technologiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesTransformation[SPI]Engineering Sciences [physics][ SPI.NRJ ] Engineering Sciences [physics]/Electric powerDisplay[ SPI ] Engineering Sciences [physics]Computer visionclass separabilityFusion021101 geological & geomatics engineering0105 earth and related environmental sciencesColor imagebusiness.industry[SPI.NRJ]Engineering Sciences [physics]/Electric powerHyperspectral imagingPattern recognition[ SDU.STU ] Sciences of the Universe [physics]/Earth SciencesImage segmentationSpectral bandsDimensionality reductionVisualization[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsImaging spectroscopyFull spectral imagingRGB color modelArtificial intelligencehyper-spectral image visualizationbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Efficient remote sensing image classification with Gaussian processes and Fourier features

2017

This paper presents an efficient methodology for approximating kernel functions in Gaussian process classification (GPC). Two models are introduced. We first include the standard random Fourier features (RFF) approximation into GPC, which largely improves the computational efficiency and permits large scale remote sensing data classification. In addition, we develop a novel approach which avoids randomly sampling a number of Fourier frequencies, and alternatively learns the optimal ones using a variational Bayes approach. The performance of the proposed methods is illustrated in complex problems of cloud detection from multispectral imagery.

010504 meteorology & atmospheric sciencesContextual image classificationComputer scienceMultispectral imageData classification0211 other engineering and technologiesSampling (statistics)02 engineering and technology01 natural sciencessymbols.namesakeBayes' theoremFourier transformKernel (statistics)symbolsGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing
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A geological field trip to the Côte d'Ivoire-Ghana transform margin

1998

Abstract During the Equanaute survey (June 1992), fourteen submersible dives were performed between 4950 and 2250 m water depths across the southern slope of the Cote d'Ivoire-Ghana Marginal Ridge (CIGMR), in the eastern Equatorial Atlantic. The CIGMR, a high-standing topographic marginal ridge along the Cote d'Ivoire-Ghana transform margin, is believed to result from a complex structural evolution due to the specific wrench-related rifting between Western Equatorial Africa and Northeastern Brazil, in Early Cretaceous times. In this paper we report and discuss geological observations made during dives, and sample analyses to resolve the lithology, paleoenvironmental conditions, age and orig…

010504 meteorology & atmospheric sciencesCôte d’Ivoire-GhanaLithologyAtlantique EquatorialMid-Atlantic RidgeAquatic ScienceStructural basin010502 geochemistry & geophysicsOceanography01 natural sciencesPaleontology14. Life underwaterGéologieCôte d’lvoire-Ghana0105 earth and related environmental sciencesEquatorial AtlanticgeographyRiftgeography.geographical_feature_categoryMarge transformanteGeology15. Life on landTectonics13. Climate actionRidgeClastic rockSedimentary rockTransform marginGeologyOceanologica Acta
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Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis

2015

In this paper we present an approach to perform relative spectral alignment between optical cross-sensor acquisitions. The proposed method aims at projecting the images from two different and possibly disjoint input spaces into a common latent space, in which standard change detection algorithms can be applied. The system relies on the regularized kernel canonical correlation analysis transformation (kCCA), which can accommodate nonlinear dependencies between pixels by means of kernel functions. To learn the projections, the method employs a subset of samples belonging to the unchanged areas or to uninteresting radiometric differences. Since the availability of ground truth information to p…

010504 meteorology & atmospheric sciencesFeature extraction0211 other engineering and technologiesRelative spectral alignment02 engineering and technology3107 Atomic and Molecular Physics and Optics01 natural sciencesCross-sensorCanonical correlation analysis1706 Computer Science Applications910 Geography & travelComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsGround truthbusiness.industry1903 Computers in Earth SciencesKernel methodsPattern recognitionReal imageAtomic and Molecular Physics and OpticsComputer Science Applications10122 Institute of GeographyTransformation (function)Kernel methodChange detectionFeature extraction2201 Engineering (miscellaneous)Artificial intelligencebusinessCanonical correlationChange detectionCurse of dimensionalityISPRS Journal of Photogrammetry and Remote Sensing
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GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
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High-resolution spectroscopy and analysis of the nu3/2nu4 dyad of CF4

2011

International audience; CF4 is a strong greenhouse gas of both anthropogenic and natural origin [D.R. Worton et al., Environ. Sci. Technol. 41, 2184 (2007)]. However, high-resolution infrared spectroscopy of this molecule has received only a limited interest up to now. Until very recently, the public databases only contained cross-sections for this species, but no detailed line list. We reinvestigate here the strongly absorbing ν3 region around 7.8 μm. New Fourier transform infrared (FTIR) spectra up to a maximal resolution of 0.0025 cm−1 have been recorded: (i) room-temperature spectra in a static cell and (ii) a supersonic expansion jet spectrum at a 23 K estimated temperature. Following …

010504 meteorology & atmospheric sciencesInfraredBiophysicsAnalytical chemistryInfrared spectroscopycarbon tetrafluoride01 natural sciencesSpectral linesymbols.namesake0103 physical sciencesPhysical and Theoretical ChemistryFourier transform infrared spectroscopySpectroscopyMolecular Biologyemi-classical analysis0105 earth and related environmental sciences010304 chemical physicsChemistryResolution (electron density)Condensed Matter Physics[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Fourier transform13. Climate actiongreenhouse gassymbolsinfrared absorption[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]tensorial formalismMicrowave
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