Search results for "signal processing"

showing 10 items of 2451 documents

Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures

2021

Hand gestures based sign language digits have several contactless applications. Applications include communication for impaired people, such as elderly and disabled people, health-care applications, automotive user interfaces, and security and surveillance. This work presents the design and implementation of a complete end-to-end deep learning based edge computing system that can verify a user contactlessly using &lsquo

Edge deviceComputer Networks and CommunicationsComputer scienceSpeech recognitionlcsh:TK7800-8360securitySign languageVDP::Teknologi: 500::Elektrotekniske fag: 540edge computingCode (cryptography)ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic EngineeringEdge computingAuthenticationhand gestures recognitionArtificial neural networkbusiness.industryDeep learninglcsh:Electronicsdeep learningneural networkscontactless authenticationHardware and ArchitectureControl and Systems Engineeringcamera based authenticationSignal ProcessingArtificial intelligencebusinessGesture
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Accurate Determination of the Neutron Skin Thickness of Pb208 through Parity-Violation in Electron Scattering

2021

We report a precision measurement of the parity-violating asymmetry A_{PV} in the elastic scattering of longitudinally polarized electrons from ^{208}Pb. We measure A_{PV}=550±16(stat)±8(syst) parts per billion, leading to an extraction of the neutral weak form factor F_{W}(Q^{2}=0.00616  GeV^{2})=0.368±0.013. Combined with our previous measurement, the extracted neutron skin thickness is R_{n}-R_{p}=0.283±0.071  fm. The result also yields the first significant direct measurement of the interior weak density of ^{208}Pb: ρ_{W}^{0}=-0.0796±0.0036(exp)±0.0013(theo)  fm^{-3} leading to the interior baryon density ρ_{b}^{0}=0.1480±0.0036(exp)±0.0013(theo)  fm^{-3}. The measurement accurately co…

Elastic scatteringPhysicsEquation of state (cosmology)media_common.quotation_subjectForm factor (quantum field theory)General Physics and Astronomy01 natural sciencesAsymmetry0103 physical sciencesSaturation (graph theory)NeutronAtomic physics010306 general physicsElectron scatteringEnergy (signal processing)media_commonPhysical Review Letters
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Doubling of α-cluster statesin22Ne

2001

Excitation functions for ${}^{18}\mathrm{O}+\ensuremath{\alpha}$ elastic scattering were measured by a method using inverse kinematics and a thick gas target. An analysis of the data corresponding to the excitation energy regions of 11.8--13.7 MeV and 19.0--22.0 MeV in ${}^{22}\mathrm{Ne}$ was carried out. A surprising splitting of ${1}^{\ensuremath{-}},$ ${3}^{\ensuremath{-}},$ ${7}^{\ensuremath{-}},$ and ${9}^{\ensuremath{-}}$ $\ensuremath{\alpha}$-cluster levels into doublets was found in ${}^{22}\mathrm{Ne}.$

Elastic scatteringPhysicsNuclear and High Energy PhysicsCluster (physics)Astrophysics::Cosmology and Extragalactic AstrophysicsAtomic physicsEnergy (signal processing)ExcitationPhysical Review C
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Combined description of N-barN scattering and annihilation with a hadronic model.

1995

A model for the nucleon-antinucleon interaction is presented which is based on meson-baryon dynamics. The elastic part is the {ital G}-parity transform of the Bonn {ital NN} potential. Annihilation into two mesons is described in terms of microscopic baryon-exchange processes including all possible combinations of {pi},{eta},{rho},{omega},{ital a}{sub 0},{ital f}{sub 0},{ital a}{sub 1},{ital f}{sub 1},{ital a}{sub 2},{ital f}{sub 2},{ital K},{ital K}{sup *}. The remaining annihilation part is taken into account by a phenomenological energy- and state-independent optical potential of Gaussian form. The model enables a simultaneous description of nucleon-antinucleon scattering and annihilatio…

Elastic scatteringPhysicsNuclear and High Energy PhysicsParticle physicsAnnihilationMesonScatteringComputer Science::Information RetrievalNuclear TheoryHadronG-parityBaryonNuclear ExperimentEnergy (signal processing)Physical review. C, Nuclear physics
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Backward spin polarizabilityγπof the proton

2002

Using the Mainz $48\mathrm{cm}\ensuremath{\emptyset}\ifmmode\times\else\texttimes\fi{}64\mathrm{cm}$ NaI(Tl) detector and the segmented G\"ottingen recoil detector SENECA in coincidence, Compton scattering by the proton at ${\ensuremath{\theta}}_{\ensuremath{\gamma}}^{\mathrm{lab}}=136\ifmmode^\circ\else\textdegree\fi{}$ has been measured at MAMI (Mainz) in the energy range from 200 to 470 MeV. The new data confirm the previous observation that there is a systematic discrepancy between MAMI and LEGS (Brookhaven) data leading to different spin polarizabilities ${\ensuremath{\gamma}}_{\ensuremath{\pi}}=\ensuremath{-}38.7\ifmmode\pm\else\textpm\fi{}1.8$ and $\ensuremath{-}27.2\ifmmode\pm\else\…

Elastic scatteringPhysicsNuclear and High Energy PhysicsParticle physicsProton010308 nuclear & particles physicsHadronElementary particle01 natural sciencesOrientation (vector space)Nuclear physicsBaryon0103 physical sciences010306 general physicsNucleonEnergy (signal processing)Physical Review C
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The real part of the elastic-scattering amplitude at the $$S\bar ppS$$ and predictions at LHC and SSCand predictions at LHC and SSC

1994

A precise measurement of\(\bar pp\) elastic scattering in the Coulomb strong-interaction interference region was performed at the CERN\(S\bar ppS\) Collider at a centre-of-mass energy of 541 GeV. The ratio of the real-to-imaginary part of the forward elastic-scattering amplitude was found to be ρ=0.135±0.015. The slope of the exponential fall-off of the strong-interaction part was also measured to beb=15.5±0.1 GeV−2. Using this new result, an overall fit to the data on the total cross-section and on the real part for\(\bar pp\) and pp was performed using dispersion relations. Numerical predictions are presented for total cross-sections at LHC and SSC energies.

Elastic scatteringPhysicsParticle physicsLarge Hadron ColliderBar (music)law.inventionNuclear physicsAmplitudelawDispersion relationCoulombHigh Energy Physics::ExperimentColliderEnergy (signal processing)Il Nuovo Cimento A
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Dynamic Preisach Hysteresis Model for Magnetostrictive Materials for Energy Application

2013

In this paper the magnetostrictive material considered is Terfenol-D. Its hysteresis is modeled by applying the DPM whose identification procedure is performed by using a neural network procedure previously publised [. The neural network used is a multiplayer perceptron trained with the Levenberg-Marquadt training algorithm. This allows to obtain the Preisach distribution function, without any special conditioning of the measured data, owing to the filtering capabilities of the neural network interpolators. The model is able to reconstruct both the magnetization relation and the Field-strain relation. The model is validated through comparison and prediction of data collected from a typical …

Electric machinePreisach model of hysteresisEngineeringbusiness.product_categoryArtificial neural networkbusiness.industryMagnetostrictionGeneral MedicinePerceptronHysteresisTransducerControl theorybusinessEnergy (signal processing)Applied Mechanics and Materials
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Bearing fault diagnosis for inverter-fed motors via resonant filters

2014

Current-based technique is an economic solution to detect bearing faults in drive-trains. Localized faults produce characteristic vibration frequencies. When an electric motor is supplied by a frequency-converter, the current response includes not only the fundamental and fault related frequencies but also higher harmonics from the inverter. This paper introduces a resonant filter to pick up frequency components caused by the localized faults. The bearing fault frequencies are calculated by bearing geometry and motor speeds. The filter frequencies are selected as a function of motor speeds. The filter is independent of the load condition, so it can work at different motor operating points t…

Electric motorEngineeringBearing (mechanical)business.industryFilter (signal processing)Fault (power engineering)law.inventionControl theorylawHarmonicsInverterbusinessActive filterInduction motor2014 International Conference on Mechatronics and Control (ICMC)
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Optimal energy management in the smart grid

2017

The Smart Grid is a modern electricity grid allowing for distributed, renewable intermittent generation, partly owned by consumers. This requires advanced control and communication technologies in order to provide high quality power supply and secure generation, transmission and distribution. This book outlines these emerging technologies. Topics covered include an introduction to smart grid architecture; smart grid communications and standards; measurement and sensing devices for smart grids; smart transmission and wide area monitoring system; bad data detection in smart grids; optimal energy management in smart grids; communication and control for the smart grid; smart consumer systems; i…

Electric power systemEngineeringSmart gridbusiness.industryEnergy managementPower electronicsElectrical engineeringElectric powerbusinessIndustrial engineeringEnergy (signal processing)Energy accountingPower (physics)
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Optimization of a Sea Wave Energy Harvesting Electromagnetic Device

2008

This paper presents the optimization of a permanent magnet linear generator directly coupled to sea waves. In order to maximize energy extraction, the stochastic features of the energy source is included in the mathematical model of the system in order to satisfactorily tackle the problem. An optimization procedure which includes the stochastic features of the model is presented and a machine built on the basis of the results of this procedure is shown.

Electricity generationBasis (linear algebra)Computer scienceControl theoryStochastic processWind waveElectrical and Electronic EngineeringEnergy sourceEnergy harvestingElectric machines permanent magnet (PM) linear generator renewable energy.Mechanical energyEnergy (signal processing)Electronic Optical and Magnetic Materials
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