Search results for "Ultrasonics"

showing 6 items of 326 documents

Assessing the Open Trenches in Screening Railway Ground-Borne Vibrations by Means of Artificial Neural Network

2009

Reducing ground borne vibrations in urban areas is a very challenging task in railway transportation. Many mitigation measures can be considered and applied; among these open trenches are very effective. This paper deals with the study of the effect, in terms of reduction of vertical and horizontal displacements and velocities, of the open trenches. 2D FEM simulations have been performed and several open trench configurations have been analysed varying the main geometric features such as width and depth, distance from the rail, thickness of the soil layer over the rigid bedrock, type of the ground, ratio between the depth of the trench, and the thickness of the soil layer. For quantifying t…

open trencheEngineeringgeographygeography.geographical_feature_categoryAcoustics and UltrasonicsArtificial neural networkArticle Subjectbusiness.industryBedrockRailwaylcsh:QC221-246Railway transportationground-borne vibrationBuilding and ConstructionStructural engineeringVibrationMechanics of MaterialsTrenchlcsh:Acoustics. SoundSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeotechnical engineeringbusinessReduction (mathematics)artificial neural networkFem simulationsAdvances in Acoustics and Vibration
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Numerical methods for a nonlinear impact model: A comparative study with closed-form corrections

2011

A physically based impact model-already known and exploited in the field of sound synthesis-is studied using both analytical tools and numerical simulations. It is shown that the Hamiltonian of a physical system composed of a mass impacting on a wall can be expressed analytically as a function of the mass velocity during contact. Moreover, an efficient and accurate approximation for the mass outbound velocity is presented, which allows to estimate the Hamiltonian at the end of the contact. Analytical results are then compared to numerical simulations obtained by discretizing the system with several numerical methods. It is shown that, for some regions of the parameter space, the trajectorie…

sound synthesis0209 industrial biotechnologyMathematical optimizationnumerical analysisaudio signal processingAcoustics and UltrasonicsDiscretizationComputer sciencePhysical system02 engineering and technologyParameter spaceEnergy conservationsymbols.namesake020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringComputer simulationSettore INF/01 - Informaticasound synthesis; numerical analysis; audio signal processingNumerical analysisMathematical analysisphysics computing020207 software engineeringimpact modelingimpact soundsEnergy conservationNonlinear systemnumerical simulationsymbolsnonlinear dynamical systemHamiltonian (quantum mechanics)
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Spin caloric transport from density-functional theory

2019

Spin caloric transport refers to the coupling of heat with spin transport. Its applications primarily concern the generation of spin currents and control of magnetisation by temperature gradients for information technology, known by the synonym spin caloritronics. Within the framework of ab initio theory, new tools are being developed to provide an additional understanding of these phenomena in realistic materials, accounting for the complexity of the electronic structure without adjustable parameters. Here, we review this progress, summarising the principles of the density-functional-based approaches in the field and presenting a number of application highlights. Our discussion includes th…

spintronicsMaterials scienceAcoustics and UltrasonicsSpintronicsCondensed matter physicsthermal spin torqueCaloric theory02 engineering and technologyPhysik (inkl. Astronomie)021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesspin Nernst effectSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialsspin Seebeck effectdensity functional calculations0103 physical sciencesspin caloritronicsDensity functional theoryCondensed Matter::Strongly Correlated Electronsmagneto-Seebeck effect010306 general physics0210 nano-technologySpin-½
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Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music

2011

Classification of musical audio signals according to expressed mood or emotion has evident applications to content-based music retrieval in large databases. Wrapper selection is a dimension reduction method that has been proposed for improving classification performance. However, the technique is prone to lead to overfitting of the training data, which decreases the generalizability of the obtained results. We claim that previous attempts to apply wrapper selection in the field of music information retrieval (MIR) have led to disputable conclusions about the used methods due to inadequate analysis frameworks, indicative of overfitting, and biased results. This paper presents a framework bas…

ta113Acoustics and UltrasonicsComputer sciencebusiness.industryDimensionality reductionEmotion classificationFeature selectionOverfittingMachine learningcomputer.software_genreNaive Bayes classifierFeature (machine learning)Music information retrievalGeneralizability theoryArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerIEEE Transactions on Audio, Speech, and Language Processing
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Acoustic detection and classification of river boats

2011

We present a robust algorithm to detect the arrival of a boat of a certain type when other background noises are present. It is done via the analysis of its acoustic signature against an existing database of recorded and processed acoustic signals. We characterize the signals by the distribution of their energies among blocks of wavelet packet coefficients. To derive the acoustic signature of the boat of interest, we use the Best Discriminant Basis method. The decision is made by combining the answers from the Linear Discriminant Analysis (LDA) classifier and from the Classification and Regression Trees (CART) that is also accompanied with an additional unit, called Aisles, that reduces fal…

ta113Acoustics and UltrasonicsNetwork packetbusiness.industryPattern recognitionLinear discriminant analysisRegressionWaveletDiscriminantAcoustic signatureProcess controlArtificial intelligencebusinessClassifier (UML)MathematicsApplied Acoustics
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LOCAL CONTROL OF SOUND IN STOCHASTIC DOMAINS BASED ON FINITE ELEMENT MODELS

2011

A numerical method for optimizing the local control of sound in a stochastic domain is developed. A three-dimensional enclosed acoustic space, for example, a cabin with acoustic actuators in given locations is modeled using the finite element method in the frequency domain. The optimal local noise control signals minimizing the least square of the pressure field in the silent region are given by the solution of a quadratic optimization problem. The developed method computes a robust local noise control in the presence of randomly varying parameters such as variations in the acoustic space. Numerical examples consider the noise experienced by a vehicle driver with a varying posture. In a mod…

ta113Stochastic domainAcoustics and UltrasonicsComputer scienceApplied MathematicsAcousticsNoise reductionNumerical analysisstokastinen aluekvadraattinen optimointipassenger carFinite element methodhenkilöautoelementtimenetelmäAcoustic spacequadratic optimizationNoiseFrequency domainNoise controlHelmholtz equationQuadratic programmingpaikallinen äänenhallintaäärellisten elementtien menetelmäHelmholtzin yhtälölocal sound controlJournal of Computational Acoustics
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