Search results for "NEURAL NETWORK"

showing 10 items of 1385 documents

Computer simulation of models for orientational glasses

1991

Abstract Monte Carlo studies of two- and three-dimensional lattice models where quadrupoles interact with a nearest-neighbor Gaussian coupling are reviewed. None of these models has a thermodynamic glass phase transition at non-zero temperature like the Ising spin glass: rather, phase transitions at zero temperature occur that exhibit a dynamical freeze-in spread out over a wide temperature range and are characterized by a strongly non-exponential relaxation. The time-dependent glass order parameter, q(t), decays with time, t, compatible with a stretched exponential decay q(t) ∼ exp [− (t/τ)y] with a strongly temperature-dependent exponent. While the static glass ‘susceptibility’ for isotro…

Phase transitionMaterials scienceCondensed matter physicsIsotropyAtmospheric temperature rangeCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksElectronic Optical and Magnetic MaterialsExponential functionLattice (order)Materials ChemistryCeramics and CompositesExponentExponential decayCritical dimensionJournal of Non-Crystalline Solids
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Intervalley-scattering-induced electron-phonon energy relaxation in many-valley semiconductors at low temperatures

2005

We report on the effect of elastic intervalley scattering on the energy transport between electrons and phonons in many-valley semiconductors. We derive a general expression for the electron-phonon energy flow rate at the limit where elastic intervalley scattering dominates over diffusion. Electron heating experiments on heavily doped n-type Si samples with electron concentration in the range $3.5-16.0\times 10^{25}$ m$^{-3}$ are performed at sub-1 K temperatures. We find a good agreement between the theory and the experiment.

PhononphononsGeneral Physics and AstronomyFOS: Physical sciences02 engineering and technologyElectronsemiconductors01 natural sciences0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)010306 general physicsPhysicsElastic scatteringRange (particle radiation)Condensed Matter - Mesoscale and Nanoscale PhysicsCondensed matter physicsScatteringbusiness.industryRelaxation (NMR)Disordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks021001 nanoscience & nanotechnologySemiconductorelectron-phonon interactionsElectron temperature0210 nano-technologybusinesslow temperaturesPhysical Review Letters
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Conformational disorder and optical properties of point defects in vitreous silica

2004

Abstract Disordered systems are characterized by the presence of local conformational heterogeneity, which reflects the complex landscape of the potential energy of the vitreous state. Optical properties of defects embedded in a vitreous matrix are also determined by the interaction with the surrounding environment; so the conformational disorder of the system induces spectral inhomogeneity. As a consequence, detailed experimental investigation of absorption and photoluminescence bands can give information on configurational substates around the chromophore. We focused our attention on B-type optical activity in silica glasses, characterized by a singlet emission and a triplet emission, conne…

PhotoluminescenceIntersystem crossingAbsorption spectroscopyChemical physicsChemistryPhononAnalytical chemistrySinglet stateActivation energyChromophoreCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksPotential energy
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Isoelectronic series of oxygen deficient centers in silica: experimental estimation of homogeneous and inhomogeneous spectral widths

2008

We report nanosecond time-resolved photoluminescence measurements on the isoelectronic series of oxygen deficient centers in amorphous silica related to silicon, germanium and tin atoms, which are responsible of fluorescence activities at approximately 4 eV under excitation at approximately 5 eV. The dependence of the first moment of their emission band on time and that of the radiative decay lifetime on emission energy are analyzed within a theoretical model able to describe the effects introduced by disorder on the optical properties of the defects. We obtain separate estimates of the homogeneous and inhomogeneous contributions to the measured emission line width, and we derive homogeneou…

PhotoluminescenceMaterials scienceOscillator strengthTemperatureFOS: Physical sciencesSilicaElectronsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksNanosecondSilicon DioxideMolecular physicsCrystallographic defectOxygen Deficient CenterOxygenLaser linewidthMolecular vibrationAtomLuminescent MeasurementsInhomogeneous Spectral WidthPhysical and Theoretical ChemistryExcitation
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Homogeneous and inhomogeneous contributions to the luminescence linewidth of point defects in amorphous solids: Quantitative assessment based on time…

2008

The article describes an experimental method that allows to estimate the inhomogeneous and homogeneous linewidths of the photoluminescence band of a point defect in an amorphous solid. We performed low temperature time-resolved luminescence measurements on two defects chosen as model systems for our analysis: extrinsic Oxygen Deficient Centers (ODC(II)) in amorphous silica and F+ 3 centers in crystalline Lithium Fluoride. Measurements evidence that only defects embedded in the amorphous matrix feature a dependence of the radiative decay lifetime on the emission energy and a time dependence of the first moment of the emission band. A theoretical model is developed to link these properties to…

PhotoluminescenceMaterials sciencebusiness.industryLithium fluorideFOS: Physical sciencessilica time-resolved luminescence spectral widthDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsMolecular physicsCrystallographic defectElectronic Optical and Magnetic MaterialsAmorphous solidLaser linewidthchemistry.chemical_compoundCondensed Matter::Materials ScienceOpticschemistrybusinessLuminescenceSpectroscopyEnergy (signal processing)
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Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

2021

The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as the Surface Detector (SD). The SD samples the secondary particle content (mostly photons, electrons, positrons and muons) of extensive air showers initiated by cosmic rays with energies ranging from $10^{17}~$eV up to more than $10^{20}~$eV. Measuring the independent contribution of the muon component to the total registered signal is crucial to enhance the capability of the Observatory to estimate the mass of the cosmic rays on an event-by-event basis. However, with the current design of the SD, it is difficult to straightfo…

PhotonPhysics::Instrumentation and DetectorsAstronomyElectron01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)mass [cosmic radiation]surface [detector]Observatory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]photon: cosmic radiationInstrumentationMathematical PhysicsPhysicsAGASAPhysicsSettore FIS/01 - Fisica SperimentaleDetectorcosmic radiation [photon]Astrophysics::Instrumentation and Methods for AstrophysicsMonte Carlo [numerical calculations]electromagnetic [showers]Augerobservatorycosmic radiation [electron]Analysis and statistical methodsnumerical calculations: Monte CarloAnalysis and statistical methodperformancepositron: cosmic radiationatmosphere [showers]Cherenkov detectordata analysis methodAnalysis and statistical methods; Calibration and fitting methods; Cherenkov detectors; Cluster finding; Large detector systems for particle and astroparticle physics; Pattern recognitionCherenkov counter: waterairneural networkAstrophysics::High Energy Astrophysical Phenomena610FOS: Physical sciencesCosmic raycosmic radiation [positron]cosmic radiation: massCalibration and fitting methodNuclear physicsstatistical analysisPattern recognition0103 physical sciencesshowers: electromagneticddc:530ddc:610High Energy Physics010306 general physicsZenithPierre Auger ObservatoryCalibration and fitting methodscosmic radiation [muon]Muonshowers: atmosphere010308 nuclear & particles physicsdetector: surfacehep-exLarge detector systems for particle and astroparticle physicswater [Cherenkov counter]Cherenkov detectorsCluster findingelectron: cosmic radiationRecurrent neural networkmuon: cosmic radiationLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::ExperimentRAIOS CÓSMICOSexperimental results
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Enhanced Current Loop PI Controllers with Adaptive Feed-Forward Neural Network via Estimation of Grid Impedance: Application to Three-Phase Grid-Tied…

2022

This paper describes a single-stage grid-connected three-phase photovoltaic inverter feeding power to the grid. Using the Recursive Least Squares (RLS) Estimator, an online grid impedance technique is proposed in the stationary reference frame. The method iteratively estimates the grid resistance and inductance values and is effective in detecting inverter islanding according to IEEE standard 929-2000. An Adaptive Feedforward Neural (AFN) Controller has also been developed using the inverse of the system to improve the performance of the inner-loop Proportional-Integral controllers under dynamical conditions and provide better DC link voltage stability. The neural network weights are comput…

Photovoltaic System Adaptive Feedforward Grid Connected Inverter Grid Impedance Neural Network and Recursive Least Squares Estimation.
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A framework for sign language sentence recognition by common sense context

2007

This correspondence proposes a complete framework for sign language recognition that integrates a commonsense engine in order to deal with sentence recognition. The proposed system is based on a multilevel architecture that allows modeling and managing of the knowledge of the recognition process in a simple and robust way. The final abstraction level of this architecture introduces the semantic context and the analysis of the correctness of a sentence given in a sequence of recognized signs. Experimentations are presented using a set of signs from the Italian sign language (LIS) for domotic applications. The implemented system maintains a high recognition rate when the set of signs grows, c…

PhraseItalian Sign LanguageComputer scienceSpeech recognitionNatural language interfaceneural networks.Context (language use)Image motion analysiSign languagecomputer.software_genreimage motion analysisKnowledge-based systemsElectrical and Electronic EngineeringCommonsense reasoningbusiness.industryCommonsense reasoningnatural language interfaceslanguage.human_languageComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringGesture recognitionlanguageArtificial intelligencebusinesscomputerSoftwareSentenceNatural languageNatural language processingNeural networksInformation Systems
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Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks

2008

Behavioural processes like those in sports, motor activities or rehabilitation are often the object of optimization methods. Such processes are often characterized by a complex structure. Measurements considering them may produce a huge amount of data. It is an interesting challenge not only to store these data, but also to transform them into useful information. Artificial Neural Networks turn out to be an appropriate tool to transform abstract numbers into informative patterns that help to understand complex behavioural phenomena. The contribution presents some basic ideas of neural network approaches and several examples of application. The aim is to give an impression of how neural meth…

Physical neural networkArtificial Intelligence Systembusiness.industryTime delay neural networkComputer scienceDeep learningNeocognitronMachine learningcomputer.software_genreCellular neural networkArtificial intelligenceTypes of artificial neural networksbusinesscomputerNervous system network models
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Artificial neural networks in motor control research

2004

Physical neural networkArtificial neural networkbusiness.industryComputer scienceBiophysicsMotor controlOrthopedics and Sports MedicineArtificial intelligencebusinessClinical Biomechanics
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