Search results for "Computer Science Applications"

showing 10 items of 3993 documents

Hierarchical fast BEM for anisotropic time-harmonic 3-D elastodynamics

2012

The paper presents a fast boundary element method for anisotropic time-harmonic 3-D elastodynamic problems. The approach uses the hierarchical matrices format and the ACA algorithm for the collocation matrix setup and a preconditioned GMRES solver for the solution. The development of this approach for the anisotropic case presents peculiar aspects which deserve investigation and are studied in the paper leading to the employed computational strategy and its effective tuning. Numerical experiments are presented to assess the method accuracy, performances and numerical complexity. The method ensures adequate accuracy allowing remarkable reductions in computation time and memory storage.

Fast BEMMathematical optimizationCollocationTime harmonicMechanical EngineeringComputationSolverLarge scale computationsGeneralized minimal residual methodComputer Science ApplicationsMatrix (mathematics)Modeling and SimulationGeneral Materials ScienceAnisotropyAnisotropic elastodynamicAlgorithmBoundary element methodCivil and Structural EngineeringMathematics
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A Survey on Proxy Mobile IPv6 Handover

2016

[EN] As wireless technologies have been improving in recent years, a mobility management mechanism is required to provide seamless and ubiquitous mobility for end users who are roaming among points of attachment in wireless networks. Thus, Mobile IPv6 was developed by the Internet Engineering Task Force (IETF) to support the mobility service. However, Mobile IPv6 is unable to fulfill the requirements of real-time applications, such as video streaming service and voice over IP service, due to its high handover (HO) latency. To address this problem, Proxy Mobile IPv6 (PMIPv6) has been introduced by the IETF. In PMIPv6, which is a network-based approach, the serving network controls mobility m…

Fast localized Proxy Mobile IPv6 (PMIPv6) handover (HO) procedureEngineeringMobility modelComputer Networks and CommunicationsReactive mode0211 other engineering and technologiesMobile computing02 engineering and technologyPMIPv6 with partial bicastingPMIPv60202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringProxy Mobile IPv6Mobility management021103 operations researchbusiness.industryWireless networkComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPredictive modeHO in PMIPv6020206 networking & telecommunicationsINGENIERIA TELEMATICAComputer Science ApplicationsHandoverControl and Systems EngineeringMobile IPRoamingbusinessTelecommunicationsInformation SystemsComputer networkIEEE Systems Journal
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Classification of Heart Sounds Using Convolutional Neural Network

2020

Heart sounds play an important role in the diagnosis of cardiac conditions. Due to the low signal-to-noise ratio (SNR), it is problematic and time-consuming for experts to discriminate different kinds of heart sounds. Thus, objective classification of heart sounds is essential. In this study, we combined a conventional feature engineering method with deep learning algorithms to automatically classify normal and abnormal heart sounds. First, 497 features were extracted from eight domains. Then, we fed these features into the designed convolutional neural network (CNN), in which the fully connected layers that are usually used before the classification layer were replaced with a global averag…

Feature engineeringComputer science0206 medical engineeringconvolutional neural networkneuroverkot02 engineering and technologyOverfittingConvolutional neural networklcsh:Technologylcsh:Chemistry0202 electrical engineering electronic engineering information engineeringFeature (machine learning)General Materials ScienceSensitivity (control systems)sydäntauditInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrylcsh:TProcess Chemistry and TechnologyDeep learning020208 electrical & electronic engineeringGeneral EngineeringPattern recognitiondiagnostiikkaMatthews correlation coefficientautomatic heart sound classification020601 biomedical engineeringlcsh:QC1-999Computer Science Applicationsfeature engineeringkoneoppiminenlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Heart soundsArtificial intelligencetiedonlouhintabusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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More restrictive Gray codes for some classes of pattern avoiding permutations

2009

In a recent article [W.M.B. Dukes, M.F. Flanagan, T. Mansour, V. Vajnovszki, Combinatorial Gray codes for classes of pattern avoiding permutations, Theoret. Comput. Sci. 396 (2008) 35-49], Dukes, Flanagan, Mansour and Vajnovszki present Gray codes for several families of pattern avoiding permutations. In their Gray codes two consecutive objects differ in at most four or five positions, which is not optimal. In this paper, we present a unified construction in order to refine their results (or to find other Gray codes). In particular, we obtain more restrictive Gray codes for the two Wilf classes of Catalan permutations of length n; two consecutive objects differ in at most two or three posit…

Fibonacci number010103 numerical & computational mathematics0102 computer and information sciences01 natural sciencesComputer Science ApplicationsTheoretical Computer ScienceCatalan numberCombinatoricsGray codePermutation010201 computation theory & mathematics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Signal ProcessingOrder (group theory)0101 mathematicsComputingMilieux_MISCELLANEOUSBinomial coefficientInformation SystemsMathematicsInformation Processing Letters
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Local electrical characterisation of human atrial fibrillation

2002

The rate of success of radio-frequency catheter ablation in the treatment of atrial fibrillation may be significantly improved by evaluating the local electrical properties of the atrial tissue. The aim of this study is the development of an automatic procedure for the characterisation of the local electrical activity during atrial fibrillation and the comparison of its performance with the manual analysis. The adopted procedures were the semi-automatic measurement of the local fibrillation intervals (A-A intervals) and the manual electrogram classification following the criteria suggested by Wells (1978) or Konings (1997). Two methods have been used: Principal Component Analysis and Cluste…

Fibrillationmedicine.medical_specialtymedicine.diagnostic_testbusiness.industrymedicine.medical_treatmentComputer Science Applications1707 Computer Vision and Pattern RecognitionAtrial fibrillationCatheter ablationAtrial tissuemedicine.diseaseInternal medicineSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaClinical valueCardiologyMedicinemedicine.symptomCardiology and Cardiovascular MedicinebusinessElectrocardiographyComputers in Cardiology 2000. Vol.27 (Cat. 00CH37163)
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A symmetric Galerkin boundary/domain element method for finite elastic deformations

2000

Abstract The Symmetric Galerkin Boundary Element Method (SGBEM) is reformulated for problems of finite elasticity with hyperelastic material and incompressibility, using fundamental solutions related to a (fictitious) homogeneous isotropic and compressible linear elastic material. The proposed formulation contains, besides the standard boundary integrals, domain integrals which account for the problem's nonlinearities through some (fictitious) initial strain and stress fields required to satisfy appropriate “consistency” equations. The boundary/domain integral equation problem so obtained is shown to admit a stationarity principle (a consequence of the Hu-Washizu one), which covers a number…

Fictitious domain methodMechanical EngineeringLinear elasticityMathematical analysisComputational MechanicsGeneral Physics and AstronomyMixed boundary conditionComputer Science ApplicationsMechanics of MaterialsHyperelastic materialFree boundary problemMethod of fundamental solutionsGalerkin methodBoundary element methodMathematicsComputer Methods in Applied Mechanics and Engineering
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Multi-frequency orthogonality sampling for inverse obstacle scattering problems

2011

We discuss a simple non-iterative method to reconstruct the support of a collection of obstacles from the measurements of far-field patterns of acoustic or electromagnetic waves corresponding to plane-wave incident fields with one or few incident directions at several frequencies. The method is a variant of the orthogonality sampling algorithm recently studied by Potthast (2010 Inverse Problems 26 074015). Our theoretical analysis of the algorithm relies on an asymptotic expansion of the far-field pattern of the scattered field as the size of the scatterers tends to zero with respect to the wavelength of the incident field that holds not only at a single frequency, but also across appropria…

Field (physics)Applied MathematicsMathematical analysisInverseSampling (statistics)Inverse problemElectromagnetic radiationComputer Science ApplicationsTheoretical Computer ScienceWavelengthOrthogonalitySignal ProcessingAsymptotic expansionMathematical PhysicsMathematicsInverse Problems
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Testing the X-IFU calibration requirements: an example for quantum efficiency and energy resolution

2018

With its array of 3840 Transition Edge Sensors (TESs) operated at 90 mK, the X-Ray Integral Field Unit (X-IFU) on board the ESA L2 mission Athena will provide spatially resolved high-resolution spectroscopy (2.5 eV FWHM up to 7 keV) over the 0.2 to 12 keV bandpass. The in-flight performance of the X-IFU will be strongly affected by the calibration of the instrument. Uncertainties in the knowledge of the overall system, from the filter transmission to the energy scale, may introduce systematic errors in the data, which could potentially compromise science objectives - notably those involving line characterisation e.g. turbulence velocity measurements - if not properly accounted for. Defining…

Field (physics)FOS: Physical sciencesCondensed Matter Physic01 natural sciences7. Clean energyX-raySettore FIS/05 - Astronomia E AstrofisicaBand-pass filter0103 physical sciencesCalibrationAthenaElectrical and Electronic Engineering010306 general physics010303 astronomy & astrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)ComputingMilieux_MISCELLANEOUSPhysicsX-IFU[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Electronic Optical and Magnetic MaterialDetectorAstrophysics::Instrumentation and Methods for AstrophysicsComputer Science Applications1707 Computer Vision and Pattern RecognitionFilter (signal processing)Computational physicsApplied MathematicPerformance verificationTransmission (telecommunications)CalibrationQuantum efficiencyAstrophysics - Instrumentation and Methods for AstrophysicsEnergy (signal processing)
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The performance of the ATHENA X-ray Integral Field Unit

2018

The X-ray Integral Field Unit (X-IFU) is a next generation microcalorimeter planned for launch onboard the Athena observatory. Operating a matrix of 3840 superconducting Transition Edge Sensors at 90 mK, it will provide unprecedented spectro-imaging capabilities (2.5 eV resolution, for a field of view of 5') in the soft X-ray band (0.2 up to 12 keV), enabling breakthrough science. The definition of the instrument evolved along the phase A study and we present here an overview of its predicted performances and their modeling, illustrating how the design of the X-IFU meets its top-level scientific requirements. This article notably covers the energy resolution, count-rate capability, quantum …

Field (physics)X-ray Integral Fiel UnitPhase (waves)Field of viewCondensed Matter Physicmicrocalorimeter01 natural sciencesX-rayMatrix (mathematics)Settore FIS/05 - Astronomia E AstrofisicaObservatory0103 physical sciencesAthenaAerospace engineeringElectrical and Electronic Engineering010306 general physicsPhysics010308 nuclear & particles physicsbusiness.industryElectronic Optical and Magnetic MaterialResolution (electron density)Computer Science Applications1707 Computer Vision and Pattern RecognitionApplied MathematicQuantum efficiencybusinessEnergy (signal processing)performance
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Commercial and financial policies in family firms: The small business growth management flight simulator

2000

An interactive learning environment (ILE) was built to reproduce the budgeting process of a small family-owned entrepreneurial firm and to capture how current decisions affect business growth in a longer time horizon. The ILE matches the accounting-related perspective through which spreadsheet-based budgets are drawn up, with the system dynamics (SD) view. Such a goal has been pursued through a connection of traditional Excel spreadsheets with POWERSIM SD models. Playing the SMALL BUSINESS GROWTH MANAGEMENT FLIGHT SIMULATOR allows one to learn how (a) to draw up a budget based on an SD perspective, (b) long-term goals may be affected by current decisions, (c) business/family survival and gr…

FinanceGrowth managementbusiness.industryArtifact-centric business process model05 social sciencesEquity (finance)General Social SciencesTime horizonBusiness process modelingSmall businesssimulationsmall business management decision makingComputer Science ApplicationsSystem dynamicsorganizational learning0502 economics and businessOrganizational learning050211 marketingmanagement flight simulatorbusiness050203 business & management
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