Search results for "value"

showing 10 items of 5321 documents

A Novel Solution to Find the Dynamic Response of an Euler–Bernoulli Beam Fitted with Intraspan TMDs under Poisson Type Loading

2020

This contribution considers a virtual experiment on the vibrational response of rail and road bridges equipped with smart devices in the form of damping elements to mitigate vibrations. The internal damping of the bridge is considered a discontinuity that contain a dashpot. Exact complex eigenvalues and eigenfunctions are derived from a characteristic equation built as the determinant of a 4 x 4 matrix

Computer science020101 civil engineeringPoissonian Loading02 engineering and technologylcsh:TechnologyDashpot0201 civil engineeringDamper0203 mechanical engineeringTuned mass damperGeneral Materials ScienceEigenvalues and eigenvectorsCivil and Structural EngineeringGeneralized functionTuned Mass Damperlcsh:TMathematical analysisCharacteristic equationBuilding and ConstructionWhite noiseGeotechnical Engineering and Engineering GeologyComputer Science ApplicationsVibration020303 mechanical engineering & transportsEuler Bernoulli BeamEuler Bernoulli beam Poissonian loading Tuned mass damperSettore ICAR/08 - Scienza Delle CostruzioniInfrastructures
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A Meshfree Solver for the MEG Forward Problem

2015

Noninvasive estimation of brain activity via magnetoencephalography (MEG) involves an inverse problem whose solution requires an accurate and fast forward solver. To this end, we propose the Method of Fundamental Solutions (MFS) as a meshfree alternative to the Boundary Element Method (BEM). The solution of the MEG forward problem is obtained, via the Method of Particular Solutions (MPS), by numerically solving a boundary value problem for the electric scalar potential, derived from the quasi-stationary approximation of Maxwell’s equations. The magnetic field is then computed by the Biot-Savart law. Numerical experiments have been carried out in a realistic single-shell head geometry. The p…

Computer scienceBiomagnetics magnetoencephalography (MEG) method of fundamental solutions (MFS) meshfree methodsScalar potentialInverse problemSolverBoundary knot methodElectronic Optical and Magnetic MaterialsSettore ING-IND/31 - ElettrotecnicaSettore MAT/08 - Analisi NumericaClassical mechanicsApplied mathematicsMethod of fundamental solutionsBoundary value problemElectrical and Electronic EngineeringBoundary element method
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DORA algorithm for network flow models with improved stability and convergence properties

2001

A new methodology for the solution of shallow water equations is applied for the computation of the unsteady-state flow in an urban drainage network. The inertial terms are neglected in the momentum equations and the solution is decoupled into one kinematic and one diffusive component. After a short presentation of the DORA (Double ORder Approximation) methodology in the case of a single open channel, the new methodology is applied to the case of a sewer network. The transition from partial to full section and vice versa is treated without the help of the Preissmann approximation. The algorithm also allows the computation of the diffusive component in the case of vertical topographic discon…

Computer scienceComputationMechanical EngineeringLinear systemSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaFlow networkOpen-channel flowFlow (mathematics)Convergence (routing)Boundary value problemAlgorithmShallow water equationsWater Science and TechnologyCivil and Structural Engineering
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The impact of sample reduction on PCA-based feature extraction for supervised learning

2006

"The curse of dimensionality" is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimensions. In this paper, different feature extraction (FE) techniques are analyzed as means of dimensionality reduction, and constructive induction with respect to the performance of Naive Bayes classifier. When a data set contains a large number of instances, some sampling approach is applied to address the computational complexity of FE and classification processes. The main goal of this paper is to show the impact of sample reduction on the process of FE for supervised learning. In our study we analyzed the conventional PC…

Computer scienceCovariance matrixbusiness.industryDimensionality reductionFeature extractionSupervised learningNonparametric statisticsSampling (statistics)Pattern recognitionStratified samplingNaive Bayes classifierSample size determinationArtificial intelligencebusinessEigenvalues and eigenvectorsParametric statisticsCurse of dimensionalityProceedings of the 2006 ACM symposium on Applied computing
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Emphasizing visualization and physical applications in the study of eigenvectors and eigenvalues

2016

Computer scienceGeneral Mathematics05 social sciences050301 educationEducationVisualizationAlgebraComputer software0501 psychology and cognitive sciencesArchitectural educationAlgebra over a fieldMathematics instruction0503 educationEigenvalues and eigenvectors050104 developmental & child psychologyTeaching Mathematics and its Applications
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(Approximate) Low-Mode Averaging with a new Multigrid Eigensolver

2015

We present a multigrid based eigensolver for computing low-modes of the Hermitian Wilson Dirac operator. For the non-Hermitian case multigrid methods have already replaced conventional Krylov subspace solvers in many lattice QCD computations. Since the $\gamma_5$-preserving aggregation based interpolation used in our multigrid method is valid for both, the Hermitian and the non-Hermitian case, inversions of very ill-conditioned shifted systems with the Hermitian operator become feasible. This enables the use of multigrid within shift-and-invert type eigensolvers. We show numerical results from our MPI-C implementation of a Rayleigh quotient iteration with multigrid. For state-of-the-art lat…

Computer scienceHigh Energy Physics::LatticeHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesRayleigh quotient iterationKrylov subspaceDirac operatorComputer Science::Numerical AnalysisHermitian matrixsymbols.namesakeHigh Energy Physics - LatticeMultigrid methodComputer Science::Mathematical SoftwaresymbolsApplied mathematicsSelf-adjoint operatorEigenvalues and eigenvectorsInterpolationProceedings of The 33rd International Symposium on Lattice Field Theory — PoS(LATTICE 2015)
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Intertwining operators between different Hilbert spaces: connection with frames

2009

In this paper we generalize a strategy recently proposed by the author concerning intertwining operators. In particular we discuss the possibility of extending our previous results in such a way to construct (almost) isospectral self-adjoint operators living in different Hilbert spaces. Many examples are discussed in details. Many of them arise from the theory of frames in Hilbert spaces, others from the so-called g-frames.

Computer scienceHilbert spaceFOS: Physical sciencesStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Operator theoryConnection (mathematics)Mathematical OperatorsAlgebrasymbols.namesakeIntertwining operatorsIsospectralOperator (computer programming)Linear algebrasymbolsMathematics::Metric GeometryFrameSettore MAT/07 - Fisica MatematicaEigenvalues and eigenvectorsMathematical Physics
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Feature Dimensionality Reduction for Mammographic Report Classification

2016

The amount and the variety of available medical data coming from multiple and heterogeneous sources can inhibit analysis, manual interpretation, and use of simple data management applications. In this paper a deep overview of the principal algorithms for dimensionality reduction is carried out; moreover, the most effective techniques are applied on a dataset composed of 4461 mammographic reports is presented. The most useful medical terms are converted and represented using a TF-IDF matrix, in order to enable data mining and retrieval tasks. A series of query have been performed on the raw matrix and on the same matrix after the dimensionality reduction obtained using the most useful techni…

Computer scienceLatent semantic analysisbusiness.industryDimensionality reductionData managementCosine similarityPattern recognitionLatent Semantic Analysis (LSA)02 engineering and technologySingular Value Decomposition (SVD)Medical Application03 medical and health sciencesMatrix (mathematics)0302 clinical medicineFeature Dimensionality ReductionFeature (computer vision)Singular value decompositionPrincipal component analysis0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing030212 general & internal medicineArtificial intelligencebusinessPrincipal Component Analysis (PCA)
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Investigation of Finite-Size Effects in the Determination of Interfacial Tensions

2014

The interfacial tension between coexisting phases of a material is an important parameter in the description of many phenomena such as crystallization, and even today its accurate measurement remains difficult. We have studied logarithmic finite-size corrections in the determination of the interfacial tension with large scale Monte Carlo simulations, and have identified several novel contributions which not only depend on the ensemble, but also on the type of the applied boundary conditions. We present results for the Lennard-Jones system and the Ising model, as well as for hard spheres, which are particularly challenging. In the future, these findings will contribute to the understanding a…

Computer scienceMonte Carlo methodNucleationHard spheresMechanicsColloidal crystallaw.inventionCondensed Matter::Soft Condensed MatterSurface tensionlawIsing modelLaplace pressureBoundary value problemClassical nucleation theoryCrystallization
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Error mitigation using RaptorQ codes in an experimental indoor free space optical link under the influence of turbulence

2015

In free space optical (FSO) communications, several factors can strongly affect the link quality. Among them, one of the most important impairments that can degrade the FSO link quality and its reliability even under the clear sky conditions consists of optical turbulence. In this work, the authors investigate the generation of both weak and moderate turbulence regimes in an indoor environment to assess the FSO link quality. In particular, they show that, due to the presence of the turbulence, the link experiences both erasure errors and packet losses during transmission, and also compare the experimental statistical distribution of samples with the predicted Gamma Gamma model. Furthermore,…

Computer scienceOptical linkReliability (computer networking)Optical linksTelecommunication network reliabilityRytov variance valueSettore ING-INF/01 - ElettronicaTelecomunicacióRaptorQ codesRedundancy (information theory)Indoor free space optical linkFSO communicationsStatisticsTEORIA DE LA SEÑAL Y COMUNICACIONESRedundancy (engineering)Gamma Gamma modelrateless codeElectrical and Electronic Engineeringpacket error rate (PER)Error-free transmissionNetwork packetbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ING-INF/02 - Campi ElettromagneticiÒpticaComputer Science ApplicationsTransmission (telecommunications)Bit error rateErasureProbability distributionFree Space Optical (FSO) communicationTelecommunicationsbusinessOptical turbulenceFSO link reliabilityindoor linkError mitigation
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