Search results for " approximation"

showing 10 items of 575 documents

A non-linear Ritz method for the analysis of low velocity impact induced dynamics in variable angle tow composite laminates

2021

Abstract Variable angle tow (VAT) laminates feature composite layers reinforced by fibres following continuous curved paths and offer a wide structural design space for the manufacturing of composite components. In this work, a formulation for the analysis of the impact-induced dynamics in VAT laminated plates is proposed, implemented and tested in this work. The method is based on the adoption of first order shear deformation kinematics and includes von Karman non-linear strains. The discrete system is obtained by employing a pb-2 Ritz series expansion into the Hamilton’s variational statement, while the impact loading is modelled through Hertzian contact law. The resulting non-linear gove…

Work (thermodynamics)Mathematical analysisKinematicsComposite laminatesRitz methodDiscrete systemFirst-order shear deformation theory Low velocity impact modelling Non-linear plate dynamics Ritz method Variable angle tow (VAT) laminates Von Karman approximationNonlinear systemContact mechanicsCeramics and CompositesSeries expansionSettore ING-IND/04 - Costruzioni E Strutture AerospazialiCivil and Structural EngineeringMathematics
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Localized magnetic moments in the Heusler alloy Rh2MnGe

2009

X-ray magnetic circular dichroism (XMCD) of core-level absorption (x-ray absorption spectroscopy, XAS) spectra in the soft x-ray region has been measured for the ferromagnetic Heusler alloy Rh2MnGe at the Rh M3,2 and Mn L3,2 edges. The ratio of Rh and Mn spin moments amounts to 0.05 which is smaller than the ratio of 0.1 determined by a local density approximation electronic band structure calculation. We have found that the orbital moments of the Rh 4d and Mn 3d states are very small. The observed Rh 2p XAS spectrum can be understood on the basis of the Rh 3d partial density of unoccupied states as is typical for metals. The observed features of the Mn 2p XAS and XMCD spectra are dominated…

X-ray absorption spectroscopyAcoustics and UltrasonicsCondensed matter physicsAbsorption spectroscopyMagnetic momentMagnetic circular dichroismHeisenberg modelChemistryCondensed Matter PhysicsSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCondensed Matter::Materials ScienceMagnetizationFerromagnetismCondensed Matter::Strongly Correlated ElectronsLocal-density approximationJournal of Physics D: Applied Physics
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Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)

2020

The plant-pathogenic bacterium Xylella fastidiosa was first reported in Europe in 2013, in the province of Lecce, Italy, where extensive areas were affected by the olive quick decline syndrome, caused by the subsp. pauca. In Alicante, Spain, almond leaf scorch, caused by X. fastidiosa subsp. multiplex, was detected in 2017. The effects of climatic and spatial factors on the geographic distribution of X. fastidiosa in these two infested regions in Europe were studied. The presence/absence data of X. fastidiosa in the official surveys were analyzed using Bayesian hierarchical models through the integrated nested Laplace approximation (INLA) methodology. Climatic covariates were obtained from …

Xylella fastidiosa0106 biological scienceshierarchical Bayesian modelsDiurnal rangeLeaf scorchPlant Sciencelcsh:Plant cultureBayesian inference01 natural sciences010104 statistics & probabilityCovariatemedicinelcsh:SB1-11100101 mathematicsspecies distribution modelsXylella fastidiosabiologySpatial structurealmond leaf scorchintegrated nested Laplace approximation15. Life on landbiology.organism_classificationmedicine.diseaseConfounding effectstochastic partial differential equationGeographyolive quick declineSampling distributionXylella fastidiosaCartography010606 plant biology & botanyFrontiers in Plant Science
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Reliable numerical solution of a class of nonlinear elliptic problems generated by the Poisson-Boltzmann equation

2020

We consider a class of nonlinear elliptic problems associated with models in biophysics, which are described by the Poisson-Boltzmann equation (PBE). We prove mathematical correctness of the problem, study a suitable class of approximations, and deduce guaranteed and fully computable bounds of approximation errors. The latter goal is achieved by means of the approach suggested in [S. Repin, A posteriori error estimation for variational problems with uniformly convex functionals. Math. Comp., 69:481-500, 2000] for convex variational problems. Moreover, we establish the error identity, which defines the error measure natural for the considered class of problems and show that it yields computa…

a priori error estimatesClass (set theory)Correctness010103 numerical & computational mathematics01 natural sciencesMeasure (mathematics)guaranteed and efficient a posteriori error boundsFOS: MathematicsApplied mathematicsPolygon meshMathematics - Numerical Analysis0101 mathematicserror indicators and adaptive mesh refinementMathematicsNumerical AnalysisApplied MathematicsRegular polygonNumerical Analysis (math.NA)convergence of finite element approximationsLipschitz continuity010101 applied mathematicsComputational MathematicsNonlinear systemexistence and uniqueness of solutionssemilinear partial differential equations65J15 49M29 65N15 65N30 65N50 35J20MathematikA priori and a posterioriPoisson-Boltzmann equationdifferentiaaliyhtälöt
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Nitrogen Adsorption on Graphene Sponges Synthesized by Annealing a Mixture of Nickel and Carbon Powders

2017

The present research has been supported by the National Research Programme for 2014–2017 “Multifunctional Materials and Composites, Photonics and Nanotechnologies”.

bet approximationAnnealing (metallurgy)QC1-999nitrogen adsorptionBET approximationGeneral Physics and Astronomychemistry.chemical_elementspecific surface area02 engineering and technologyNitrogen adsorption010402 general chemistry01 natural sciences7. Clean energylaw.inventionlawSpecific surface area:NATURAL SCIENCES:Physics [Research Subject Categories]graphene spongebusiness.industryGraphenePhysicsGeneral Engineering021001 nanoscience & nanotechnology0104 chemical sciencesNickelchemistryChemical engineeringPhotonics0210 nano-technologybusinessLatvian Journal of Physics and Technical Sciences
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Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery

2021

Abstract Fires or electrical hazards and accidents can occur if vegetation is not controlled or cleared around overhead power lines, resulting in serious risks to people and property and significant costs to the community. There are numerous blackouts due to interfering the trees with the power transmission lines in hilly and urban areas. Power distribution companies are facing a challenge to monitor the vegetation to avoid blackouts and flash-over threats. Recently, several methods have been developed for vegetation monitoring; however, existing methods are either not accurate or could not provide better disparity map in the textureless region. Moreover, are not able to handle depth discon…

business.industryComputer science020209 energy05 social sciences02 engineering and technologySparse approximationBelief propagationConvolutional neural networkDynamic programmingDiscontinuity (linguistics)Electric power transmissionManagement of Technology and Innovation0502 economics and business0202 electrical engineering electronic engineering information engineeringmedicineOverhead (computing)Computer visionArtificial intelligenceBusiness and International Managementmedicine.symptombusinessVegetation (pathology)050203 business & managementApplied PsychologyTechnological Forecasting and Social Change
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Feature extraction from remote sensing data using Kernel Orthonormalized PLS

2007

This paper presents the study of a sparse kernel-based method for non-linear feature extraction in the context of remote sensing classification and regression problems. The so-called kernel orthonormalized PLS algorithm with reduced complexity (rKOPLS) has two core parts: (i) a kernel version of OPLS (called KOPLS), and (ii) a sparse (reduced) approximation for large scale data sets, which ultimately leads to rKOPLS. The method demonstrates good capabilities in terms of expressive power of the extracted features and scalability.

business.industryComputer scienceFeature extractionContext (language use)Regression analysisPattern recognitionSparse approximationcomputer.software_genreKernel principal component analysisKernel (linear algebra)Kernel embedding of distributionsKernel (statistics)Radial basis function kernelArtificial intelligenceData miningbusinesscomputerRemote sensing2007 IEEE International Geoscience and Remote Sensing Symposium
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A Support Vector Machine Signal Estimation Framework

2018

Support vector machine (SVM) were originally conceived as efficient methods for pattern recognition and classification, and the SVR was subsequently proposed as the SVM implementation for regression and function approximation. Nowadays, the SVR and other kernel‐based regression methods have become a mature and recognized tool in digital signal processing (DSP). This chapter starts to pave the way to treat all the problems within the field of kernel machines, and presents the fundamentals for a simple, framework for tackling estimation problems in DSP using support vector machine SVM. It outlines the particular models and approximations defined within the framework. The chapter concludes wit…

business.industryComputer scienceSystem identificationArray processingMachine learningcomputer.software_genreSupport vector machineFunction approximationKernel (statistics)Pattern recognition (psychology)Artificial intelligenceTime seriesbusinesscomputerDigital signal processing
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Helical Shift Mechanics of Rubber V-Belt Variators

2011

A very common configuration of V-belt variators for motorcycles considers the correction of the belt tensioning depending on the resistant torque by means of suitable helical-shaped tracks allowing the driven half-pulleys to close/open. The theoretical model for belt-pulley coupling is rather complex for this configuration, where one half-pulley may run in advance and the other one behind with respect to the belt, and requires the repeated numerical solution of a strongly nonlinear differential system by a sort of shooting technique, until all the operating conditions are fulfilled (angular contact extent, torque, and axial force). After solving the full equations, the present study develop…

business.product_categoryNumerical solutionThrustResistant torqueStrongly nonlinearPulleyAxial thrustNatural rubberTorqueBoundary value problemAxial forceTheoretical modelTension levelCouplingPhysicsOperating conditionTension (physics)Mechanical EngineeringMechanicsComputer Graphics and Computer-Aided DesignSettore ING-IND/13 - Meccanica Applicata Alle MacchineComputer Science ApplicationsClosed form approximationVariatorsClosure (computer programming)Mechanics of Materialsvisual_artShooting techniquevisual_art.visual_art_mediumAstrophysics::Earth and Planetary Astrophysicsbusiness
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Approximation of pore space with ellipsoids: a comparison of a geometrical method with a statistical one.

2018

International audience; We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations.…

curve skeletonsegmentationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO] Computer Science [cs][SPI.MAT] Engineering Sciences [physics]/Materials[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]GeneralLiterature_MISCELLANEOUSPhysics::Geophysics[SPI.MAT]Engineering Sciences [physics]/Materialsellipsoids[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO]Computer Science [cs]Pore space approximationComputingMethodologies_COMPUTERGRAPHICS
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