Search results for "Acoustics"

showing 10 items of 984 documents

Modelling, Analysis, and Simulation of the Micro-Doppler Effect in Wideband Indoor Channels with Confirmation Through Pendulum Experiments

2020

This paper is about designing a 3D no n-stationary wideband indoor channel model for radio-frequency sensing. The proposed channel model allows for simulating the time-variant (TV) characteristics of the received signal of indoor channel in the presence of a moving object. The moving object is modelled by a point scatterer which travels along a trajectory. The trajectory is described by the object&rsquo

Computer scienceAcousticsdoppler frequency02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical Chemistry0203 mechanical engineeringInertial measurement unitspectrogramindoor channels0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185micro-doppler effectElectrical and Electronic EngineeringWidebandVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Instrumentationchannel state informationComputer Science::Information Theory3d no n-stationary channels020301 aerospace & aeronauticswi-fi 802.11nPendulum020206 networking & telecommunicationsAtomic and Molecular Physics and Opticsinertial measurement unitsChannel state informationcsiTrajectoryCommunication channelSensors
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Path Integral approach via Laplace’s method of integration for nonstationary response of nonlinear systems

2019

In this paper the nonstationary response of a class of nonlinear systems subject to broad-band stochastic excitations is examined. A version of the Path Integral (PI) approach is developed for determining the evolution of the response probability density function (PDF). Specifically, the PI approach, utilized for evaluating the response PDF in short time steps based on the Chapman–Kolmogorov equation, is here employed in conjunction with the Laplace’s method of integration. In this manner, an approximate analytical solution of the integral involved in this equation is obtained, thus circumventing the repetitive integrations generally required in the conventional numerical implementation of …

Computer sciencePath IntegralMonte Carlo methodMarkov processProbability density function02 engineering and technologyNonstationary response01 natural sciencessymbols.namesake0203 mechanical engineering0103 physical sciencesProbability density functionApplied mathematics010301 acousticsVan der Pol oscillatorLaplace transformMechanical EngineeringEvolutionary excitationLaplace’s methodCondensed Matter PhysicsNonlinear system020303 mechanical engineering & transportsMechanics of MaterialsLaplace's methodPath integral formulationsymbolsSettore ICAR/08 - Scienza Delle Costruzioni
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Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text

2016

International audience; Depression is a major cause of disability world-wide. The present paper reports on the results of our participation to the depression sub-challenge of the sixth Audio/Visual Emotion Challenge (AVEC 2016), which was designed to compare feature modalities ( audio, visual, interview transcript-based) in gender-based and gender-independent modes using a variety of classification algorithms. In our approach, both high and low level features were assessed in each modality. Audio features were extracted from the low-level descriptors provided by the challenge organizers. Several visual features were extracted and assessed including dynamic characteristics of facial elements…

Computer scienceSpeech recognitionPosterior probabilitymultimodal fusionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]AVEC 2016Histogram0202 electrical engineering electronic engineering information engineeringFeature (machine learning)[ SPI ] Engineering Sciences [physics]Affective computingaffective computing[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]speech processing[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]Modality (human–computer interaction)[ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph]pattern recognition020206 networking & telecommunicationsSpeech processingimage processingStatistical classificationdepression assessment13. Climate actionPattern recognition (psychology)020201 artificial intelligence & image processing
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Effect of Footstep Vibrations and Proprioceptive Vibrations Used with an Innovative Navigation Method

2017

This study proposes to investigate the effect of adding vibration feedback to a navigation task in virtual environment. Previous study used footstep vibrations and proprioceptive vibrations in order to decrease the cyber-sickness and increase the sense of presence. In this study, we experiment the same vibration modalities but with a new navigation method. The results show that proprioceptive vibrations do not impact the sense of presence neither the cyber-sickness while footstep vibrations increase sense of presence and decrease in a certain way cyber-sickness. Burgundy region through the JCE funding project

Computer scienceSynthèse d'image et réalité virtuelle [Informatique]InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)AcousticsVibrationsSense of presence02 engineering and technologyWalkingVirtual realityCyber-sickness0202 electrical engineering electronic engineering information engineeringPresence0501 psychology and cognitive sciencesComputer visionComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS050107 human factorsProprioceptionbusiness.industry05 social sciencesComputingMilieux_PERSONALCOMPUTINGVirtual Reality020207 software engineering[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR][INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]VibrationInterface homme-machine [Informatique]Navigation MethodNavigation methodCybersicknessArtificial intelligencebusiness
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Optical method based detection and wavelets based processing of acoustic waves

2020

Acoustic waves (AW) has been used for the testing of static and dynamic structures. They contain the signature about the performance of rotary machines such as cyclic fatigue, friction, turbulence and cavitation. Thus has been extensively used in the condition monitoring and material characterization. In this paper, we present an algorithm based on wavelets to process the transient AW in time and frequency domain both simultaneously to extract its the temporal (e.g. time duration) and spectral properties (e.g. emission frequency). Further, optical method based on optical feedback (OF) is presented for detection of AW providing powerful non-contact, non-destructive diagnostic capabilities, w…

Computer scienceTurbulenceAcoustics010401 analytical chemistryProcess (computing)Condition monitoringAcoustic wave01 natural sciencesSignature (logic)0104 chemical sciences010309 opticsWaveletFrequency domain0103 physical sciencesTransient (oscillation)2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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A Trajectory-Driven SIMO mm-Wave Channel Model for a Moving Point Scatterer

2021

In this paper, we propose a trajectory-based three-dimensional (3D) non-stationary channel model for a millimeter wave (mm-Wave) single-input multiple-output (SIMO) system. The proposed channel model is designed to capture the mobility of a moving point scatterer in an indoor environment. We derive the expression of the time-variant (TV) channel transfer function (CTF). We study the TV Doppler characteristics of the channel, such as the TV Doppler power spectrum and the TV mean Doppler shift. To validate the proposed channel model, we performed a measurement campaign in an indoor environment using a software defined radar operating at 24 GHz. As a moving object, we consider a single swingin…

Computer sciencebusiness.industryAcoustics020208 electrical & electronic engineeringPendulumSpectral density020206 networking & telecommunications02 engineering and technologylaw.inventionsymbols.namesakeSoftwarelawExtremely high frequency0202 electrical engineering electronic engineering information engineeringsymbolsTrajectoryRadarbusinessDoppler effectComputer Science::Information TheoryCommunication channel2021 15th European Conference on Antennas and Propagation (EuCAP)
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Hidden attractors on one path : Glukhovsky-Dolzhansky, Lorenz, and Rabinovich systems

2017

In this report, by the numerical continuation method we visualize and connect hidden chaotic sets in the Glukhovsky-Dolzhansky, Lorenz and Rabinovich systems using a certain path in the parameter space of a Lorenz-like system.

Computer sciencechaosChaoticFOS: Physical sciencesPhysics::Data Analysis; Statistics and ProbabilityParameter space01 natural sciences010305 fluids & plasmasRabinovich systemLorenz system0103 physical sciencesAttractorGlukhovsky–Dolzhansky systemApplied mathematics010301 acousticsEngineering (miscellaneous)kaaosteoriaApplied Mathematicsta111Lorenz-like systemNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNumerical continuationModeling and SimulationPath (graph theory)numeerinen analyysiChaotic Dynamics (nlin.CD)hidden attractorInternational Journal of Bifurcation and Chaos
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Systematical, experimental investigations on LiMgZ (Z= P, As, Sb) wide band gap semiconductors

2011

This work reports on the experimental investigation of the wide band gap compounds LiMgZ (Z = P, As, Sb), which are promising candidates for opto-electronics and anode materials for Lithium batteries. The compounds crystallize in the cubic (C1_b) MgAgAs structure (space group F-43m). The polycrystalline samples were synthesized by solid state reaction methods. X-ray and neutron diffraction measurements show a homogeneous, single-phased samples. The electronic properties were studied using the direct current (DC) method. Additionally UV-VIS diffuse reflectance spectra were recorded in order to investigate the band gap nature. The measurements show that all compounds exhibit semiconducting be…

Condensed Matter - Materials ScienceMaterials scienceAcoustics and UltrasonicsBand gapNeutron diffractionDirect currentWide-bandgap semiconductorAnalytical chemistryMaterials Science (cond-mat.mtrl-sci)FOS: Physical scienceschemistry.chemical_elementCondensed Matter PhysicsSpectral lineSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsIonchemistryLithiumCrystallite
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Searching for hexagonal analogues of the half-metallic half-Heusler XYZ compounds

2008

The XYZ half-Heusler crystal structure can conveniently be described as a tetrahedral zinc blende YZ structure which is stuffed by a slightly ionic X species. This description is well suited to understand the electronic structure of semiconducting 8-electron compounds such as LiAlSi (formulated Li$^+$[AlSi]$^-$) or semiconducting 18-electron compounds such as TiCoSb (formulated Ti$^{4+}$[CoSb]$^{4-}$). The basis for this is that [AlSi]$^-$ (with the same electron count as Si$_2$) and [CoSb]$^{4-}$ (the same electron count as GaSb), are both structurally and electronically, zinc-blende semiconductors. The electronic structure of half-metallic ferromagnets in this structure type can then be d…

Condensed Matter - Materials ScienceMaterials scienceAcoustics and UltrasonicsMagnetoresistanceMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesIonic bondingContext (language use)Electronic structureCrystal structureCondensed Matter PhysicsSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCondensed Matter - Other Condensed MatterCrystallographyFerromagnetismCharge carrierOther Condensed Matter (cond-mat.other)Wurtzite crystal structure
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Arabic Named Entity Recognition: A Feature-Driven Study

2009

The named entity recognition task aims at identifying and classifying named entities within an open-domain text. This task has been garnering significant attention recently as it has been shown to help improve the performance of many natural language processing applications. In this paper, we investigate the impact of using different sets of features in three discriminative machine learning frameworks, namely, support vector machines, maximum entropy and conditional random fields for the task of named entity recognition. Our language of interest is Arabic. We explore lexical, contextual and morphological features and nine data-sets of different genres and annotations. We measure the impact …

Conditional random fieldAcoustics and UltrasonicsComputer sciencebusiness.industryPrinciple of maximum entropycomputer.software_genreMachine learningLinear discriminant analysisCable televisionSupport vector machineDiscriminative modelNamed-entity recognitionEntropy (information theory)Artificial intelligenceElectrical and Electronic EngineeringbusinesscomputerNatural language processingIEEE Transactions on Audio, Speech, and Language Processing
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