Search results for "Spectral"

showing 10 items of 3116 documents

Singularities for Prandtl's equations.

2006

We used a mixed spectral/finite-difference numerical method to investigate the possibility of a finite time blow-up of the solutions of Prandtl's equations for the case of the impulsively started cylinder. Our toll is the complex singularity tracking method. We show that a cubic root singularity seems to develop, in a time that can be made arbitrarily short, from a class of data uniformely bounded in H^1.

Prandtl’s equations Separation Spectral methods Complex singularities Blow–up time Regularizing viscosity.Settore MAT/07 - Fisica Matematica
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Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

2022

Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote sensing technologies have provided tools to increase our understanding of stress-related physiological processes. Therefore, this study aimed to provide an overview of the main spectral technologies and retrieval approaches for detecting crop stress in agriculture. Firstly, we present integrated views on: i) biotic and abiotic stress factors, the phases of stress, and respective plant responses, and ii) the affected traits, appropriate spectral domains and corresponding methods for measuring traits remotely. Secondly, representative result…

Precision agriculturemultispectralbiotic and abiotic stresatelliteSoil Sciencesolar induced fluorescenceGeologymulti-modalPrecision agriculture multi-modal solar-induced fluorescence satellite hyperspectral multispectral biotic and abiotic stressUNESCO::CIENCIAS TECNOLÓGICASITC-HYBRIDhyperspectralITC-ISI-JOURNAL-ARTICLEddc:550Computers in Earth Sciences
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Minimal learning machine in hyperspectral imaging classification

2020

A hyperspectral (HS) image is typically a stack of frames, where each frame represents the intensity of a different wavelength of light. Each spatial pixel has a spectrum. In the classification of the HS image, each spectrum is classified pixel-by-pixel. In some of the real-time applications, the amount of the HS image data causes performance challenges. Those issues relate to the platforms (e.g. drones) payload restrictions, the issues of the available energy and to the complexity of the machine learning models. In this study, we introduce the minimal learning machine (MLM) as a computationally cheap training and classification machine learning method for the hyperspectral imaging classificatio…

Principal Component AnalysisMinimal Learning MachineArtificial neural networkPixelComputer sciencebusiness.industryFrame (networking)Payload (computing)spektrikuvausHyperspectral imagingPattern recognitionHyperspectral ImagingClassificationRandom forestSupport vector machineData pointkoneoppiminenkuvantaminenDistance LearningArtificial intelligencebusiness
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Substituent effects on the photophysical properties of fluorescent 2-benzoylmethylenequinoline difluoroboranes: A combined experimental and quantum c…

2013

Abstract In this study, we demonstrate a successful synergy between theory and experiment and report on the photophysical properties of a recently synthesized series of substituted 2-benzoylmethylenequinoline difluoroboranes with a view towards the effect of substitution on their properties. In general difluoroboranes are known to have a bright fluorescence but for some analogs the properties are not fully understood. Quantum chemistry methods have been applied in order to explain a complex structure of the absorption and emission spectra and to gain an insight into the charge redistribution upon the excitation of the investigated molecules. We demonstrate that the spectra of this important…

Process Chemistry and TechnologyGeneral Chemical EngineeringSubstituentFluorescenceQuantum chemistrySpectral linechemistry.chemical_compoundchemistryComputational chemistryTheoretical chemistryMoleculeRedistribution (chemistry)Emission spectrumta116Dyes and Pigments
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Hyperspectral image classification using CNN: Application to industrial food packaging

2021

Abstract During food tray packaging, some contamination may exist due to the presence of undesired objects. It is essential to detect anomalies during the packaging process in order to discard the faulty tray and avoid human consumption. This study demonstrates the on-line classification feasibility when using hyperspectral imaging systems for real-time food packaging control by using Convolutional Neural Networks (CNN) as a classifier in heat-sealed food trays. A hyperspectral camera is used to capture individual food tray information and fed to a CNN classifier to detect faulty food trays with object contamination. The proposed system is able to detect up to eleven different contamination…

Production linebusiness.industryComputer scienceProcess (computing)Hyperspectral imagingPattern recognitionConvolutional neural networkFault detection and isolationFood packagingTrayFactory (object-oriented programming)Artificial intelligencebusinessFood ScienceBiotechnologyFood Control
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Characterization of the atmospheric muon flux in IceCube

2015

Muons produced in atmospheric cosmic ray showers account for the by far dominant part of the event yield in large-volume underground particle detectors. The IceCube detector, with an instrumented volume of about a cubic kilometer, has the potential to conduct unique investigations on atmospheric muons by exploiting the large collection area and the possibility to track particles over a long distance. Through detailed reconstruction of energy deposition along the tracks, the characteristics of muon bundles can be quantified, and individual particles of exceptionally high energy identified. The data can then be used to constrain the cosmic ray primary flux and the contribution to atmospheric …

Prompt leptonsleptonAtmospheric muons; Cosmic rays; Prompt leptons; Astronomy and AstrophysicsPhysics::Instrumentation and DetectorsHadronAtmospheric muonsprimary [cosmic radiation]PROTON01 natural sciencesIceCubesurface [detector]atmosphere [muon]NEUTRINO TELESCOPEproduction [muon]PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)ELEMENTAL GROUPSDetectormodel [interaction]Astrophysics::Instrumentation and Methods for AstrophysicsCOSMIC-RAY MUONSENERGY-SPECTRUMvector mesonstatisticsINTRINSIC CHARMddc:540Physique des particules élémentaireshigh [energy]Astrophysics - High Energy Astrophysical Phenomenaatmosphere [showers]Atmosperic muonsexceptionalairflux [muon]Astrophysics::High Energy Astrophysical Phenomenaspectrum [multiplicity]energy spectrumFOS: Physical sciencesCosmic rayatmosphere [cosmic radiation]Nuclear physicscosmic rays0103 physical sciencesARRIVAL DIRECTIONSVector meson010306 general physicsCosmic raysZenithANISOTROPYMuon010308 nuclear & particles physicsAstronomy and AstrophysicsSpectral componenttracksMODELPhysics and Astronomy13. Climate actionTEVspectralHigh Energy Physics::ExperimenthadronLepton
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Local spectral theory for Drazin invertible operators

2016

Abstract In this paper we investigate the transmission of some local spectral properties from a bounded linear operator R, as SVEP, Dunford property (C), and property (β), to its Drazin inverse S, when this does exist.

Property (philosophy)Spectral theoryApplied MathematicsMathematics::Rings and Algebras010102 general mathematicsSpectral propertiesDrazin inverse01 natural sciencesBounded operatorlaw.invention010101 applied mathematicsAlgebraInvertible matrixTransmission (telecommunications)lawSettore MAT/05 - Analisi MatematicaDrazin invertible operators local spectral subspaces SVEP Dunford’s property (C) and Bishop’s property (β).0101 mathematicsAnalysisMathematics
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"Design and application of a data-independent precursor and product ion repository."

2012

The functional design and application of a data-independent LC-MS precursor and product ion repository for protein identification, quantification, and validation is conceptually described. The ion repository was constructed from the sequence search results of a broad range of discovery experiments investigating various tissue types of two closely related mammalian species. The relative high degree of similarity in protein complement, ion detection, and peptide and protein identification allows for the analysis of normalized precursor and product ion intensity values, as well as standardized retention times, creating a multidimensional/orthogonal queryable, qualitative, and quantitative spac…

ProteomicsRelational databaseTandem mass spectrometryMass SpectrometryPRI BIOS Applied Genomics & ProteomicsIonprotein identificationStructural BiologyLiquid chromatography–mass spectrometryspectral librarytandem mass-spectrometryInstrumentation (computer programming)large-scale proteomicsDatabases ProteinPeptide sequenceSpectroscopylc-msComplement (set theory)IonsChemistryProteinsReproducibility of Resultsacquisitionresolutionms/ms spectraCombinatorial chemistryquantificationIdentification (information)Database Management SystemsPeptidesBiological systemChromatography Liquidpeptide identificationJournal of the American Society for Mass Spectrometry
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Substituted methyl 5β-cholan-24-oates II.13C NMR spectral assignment

1994

The 13C NMR spectra were recorded and assigned for nine derivatives of methyl 5β-cholan-24-oates (esters of bile acids) including hydroxy, oxo and/or acetyloxy groups. Assignments were based on the empirical substituent-induced chemical shifts (SCS), spectral comparison with compounds of similar structure, distortionless enhancement by polarization transfer (DEPT) and proton coupled 13C NMR measurements.

ProtonCarbon-13 NMR satelliteChemistryStereochemistryChemical shiftGeneral Materials ScienceGeneral ChemistryCarbon-13 NMRDEPTSpectral lineMagnetic Resonance in Chemistry
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Three nuclei n.m.r. spectroscopy of dimethoate compounds. A large solvent effect on the31PSC1H vicinal coupling

1977

Proton, phosphorus and carbon magnetic resonance spectra of dimethoate, dimethoxon, des-N-methyldimethoate, ω-hydroxydimethoate, trimethyldithiophosphate and O,O-dimethyldithiophosphate in different solvents have been measured. Most of the n.m.r. parameters were characteristic of the structural environment of the corresponding nucleus and solvent-independent. However, in the amide structures dimethoate, dimethoxon, des-N-methyldimethoate and ω-hydroxydimethoate the 31PSC1H vicinal coupling showed an unusually large solvent effect of a 2.3 to 6.5 Hz decrease when CDCI3 was replaced by acetone-d6 or DMSO-d6.

Protonchemistry.chemical_elementGeneral ChemistryPhotochemistrySpectral linechemistry.chemical_compoundCrystallographychemistryAmideGeneral Materials ScienceSolvent effectsSpectroscopyCarbonDimethoateVicinalOrganic Magnetic Resonance
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