Search results for "Computational Engineering"

showing 10 items of 60 documents

A SYMMETRIC AND POSITIVE DEFINITE BEM FOR 2-D FORCED VIBRATIONS

1997

A BEM formulation for 2D elastodynamics in the time domain has been presented. The formulation gives a resolving system that involves boundary displacements only. The stiffness and mass matrices of the boundary discretized body are frequency independent, symmetric and positive definite

Acoustics and UltrasonicsDiscretizationMechanical EngineeringMathematical analysisStiffnessBoundary (topology)Positive-definite matrixCondensed Matter PhysicsVibrationComputer Science::Computational Engineering Finance and ScienceMechanics of MaterialsmedicineTime domainmedicine.symptomBoundary element methodMathematicsJournal of Sound and Vibration
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A fuzzy ranking strategy for portfolio selection applied to the Spanish stock market

2007

In this paper we present a fuzzy ranking procedure for the portfolio selection problem. The uncertainty on the returns of each portfolio is approximated by means of a trapezoidal fuzzy number. The expected return and risk of the portfolio are then characteristics of that fuzzy number. A rank index that accounts for both expected return and risk is defined, allowing the decision-maker to compare different portfolios. The paper ends with an application of that fuzzy ranking strategy to the Spanish stock market.

Actuarial scienceMathematics::General MathematicsComputer sciencebusiness.industryDecision theoryFuzzy setEfficient frontierStatistics::Other StatisticsComputer Science::Computational Engineering Finance and ScienceReplicating portfolioGenetic algorithmEconometricsPortfolioFuzzy numberExpected returnStock marketPost-modern portfolio theoryQuadratic programmingPortfolio optimizationbusinessRisk managementModern portfolio theory2007 IEEE International Fuzzy Systems Conference
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Regularized RBF Networks for Hyperspectral Data Classification

2004

In this paper, we analyze several regularized types of Radial Basis Function (RBF) Networks for crop classification using hyperspectral images. We compare the regularized RBF neural network with Support Vector Machines (SVM) using the RBF kernel, and AdaBoost Regularized (ABR) algorithm using RBF bases, in terms of accuracy and robustness. Several scenarios of increasing input space dimensionality are tested for six images containing six crop classes. Also, regularization, sparseness, and knowledge extraction are paid attention.

Artificial neural networkbusiness.industryComputer scienceMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imagingPattern recognitionSupport vector machineComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computational Engineering Finance and ScienceRobustness (computer science)Computer Science::Computer Vision and Pattern RecognitionRadial basis function kernelRadial basis functionArtificial intelligenceAdaBoostbusinessCurse of dimensionality
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Toward Parametrization of Precipitating Shallow Cumulus Cloud Organization via Moisture Variance

2021

The influence of the initial vertical moisture profile on precipitating shallow cumulus cloud organization in terms of the column‐averaged moisture variance is investigated using large‐eddy simulations. Five idealized simulations based on the Rain in Cumulus over the Ocean field experiment with different initial moisture profiles are investigated. All cases simulate precipitating shallow cumulus convection in a marine sub‐tropical region under large‐scale subsidence. The results show that the moisture variance is mainly generated through the interaction of the moisture flux and the moisture gradient in the gradient production term at the top of the boundary layer. The development is charact…

Atmospheric ScienceMoisturePlanetary boundary layerCumulus cloudVariance (accounting)Atmospheric sciencesComputer Science::OtherPhysics::GeophysicsGeophysicsddc:551.5Space and Planetary ScienceComputer Science::Computational Engineering Finance and ScienceEarth and Planetary Sciences (miscellaneous)Environmental scienceParametrization (atmospheric modeling)Physics::Atmospheric and Oceanic PhysicsLarge eddy simulation
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Nanoscale ear drum: graphene based nanoscale sensors.

2012

The difficulty in determining the mass of a sample increases as its size diminishes. At the nanoscale, there are no direct methods for resolving the mass of single molecules or nanoparticles and so more sophisticated approaches based on electromechanical phenomena are required. More importantly, one demands that such nanoelectromechanical techniques could provide not only information about the mass of the target molecules but also about their geometrical properties. In this sense, we report a theoretical study that illustrates in detail how graphene membranes can operate as nanoelectromechanical mass-sensor devices. Wide graphene sheets were exposed to different types and amounts of molecul…

Chemical Physics (physics.chem-ph)FOS: Computer and information sciencesCondensed Matter - Materials ScienceMaterials scienceDopantGrapheneDopingDetectorNanoparticleMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesNanotechnologylaw.inventionComputational Engineering Finance and Science (cs.CE)Molecular dynamicslawDirect methodsPhysics - Chemical PhysicsGeneral Materials ScienceComputer Science - Computational Engineering Finance and ScienceNanoscopic scaleNanoscale
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Blow-up collocation solutions of nonlinear homogeneous Volterra integral equations

2011

In this paper, collocation methods are used for detecting blow-up solutions of nonlinear homogeneous Volterra-Hammerstein integral equations. To do this, we introduce the concept of "blow-up collocation solution" and analyze numerically some blow-up time estimates using collocation methods in particular examples where previous results about existence and uniqueness can be applied. Finally, we discuss the relationships between necessary conditions for blow-up of collocation solutions and exact solutions.

CollocationApplied MathematicsMathematical analysisMathematics::Analysis of PDEsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Numerical Analysis (math.NA)Volterra integral equationIntegral equationMathematics::Numerical AnalysisComputational MathematicsNonlinear systemsymbols.namesakeMathematics - Analysis of PDEs45D05 45G10 65R20 34A12HomogeneousComputer Science::Computational Engineering Finance and ScienceCollocation methodFOS: MathematicssymbolsOrthogonal collocationUniquenessMathematics - Numerical AnalysisAnalysis of PDEs (math.AP)Mathematics
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Improving computation efficiency using input and architecture features for a virtual screening application

2023

Virtual screening is an early stage of the drug discovery process that selects the most promising candidates. In the urgent computing scenario it is critical to find a solution in a short time frame. In this paper, we focus on a real-world virtual screening application to evaluate out-of-kernel optimizations, that consider input and architecture features to improve the computation efficiency on GPU. Experiment results on a modern supercomputer node show that we can almost double the performance. Moreover, we implemented the optimization using SYCL and it provides a consistent benefit with the CUDA optimization. A virtual screening campaign can use this gain in performance to increase the nu…

Computational Engineering Finance and Science (cs.CE)FOS: Computer and information sciencesComputer Science - Distributed Parallel and Cluster ComputingHardware Architecture (cs.AR)Distributed Parallel and Cluster Computing (cs.DC)Computer Science - Computational Engineering Finance and ScienceComputer Science - Hardware Architecture
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Seam Puckering Objective Evaluation Method for Sewing Process

2015

The paper presents an automated method for the assessment and classification of puckering defects detected during the preproduction control stage of the sewing machine or product inspection. In this respect, we have presented the possible causes and remedies of the wrinkle nonconformities. Subjective factors related to the control environment and operators during the seams evaluation can be reduced using an automated system whose operation is based on image processing. Our implementation involves spectral image analysis using Fourier transform and an unsupervised neural network, the Kohonen Map, employed to classify material specimens, the input images, into five discrete degrees of quality…

Computational Engineering Finance and Science (cs.CE)FOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer Science - Computational Engineering Finance and Science
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Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion Models

2016

European options can be priced by solving parabolic partial(-integro) differential equations under stochastic volatility and jump-diffusion models like the Heston, Merton, and Bates models. American option prices can be obtained by solving linear complementary problems (LCPs) with the same operators. A finite difference discretization leads to a so-called full order model (FOM). Reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD). The early exercise constraint of American options is enforced by a penalty on subset of grid points. The presented numerical experiments demonstrate that pricing with ROMs can be orders of magnitude faster within a given model p…

Computational Engineering Finance and Science (cs.CE)FOS: Computer and information sciencesFOS: Economics and businessQuantitative Finance - Computational FinanceEuropean optionlinear complementary problemComputational Finance (q-fin.CP)reduced order modelAmerican optionComputer Science - Computational Engineering Finance and Scienceoption pricing
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Modeling Business

2003

Business concepts are studied using a metamodel-based approach, using UML 2.0. The Notation Independent Business concepts metamodel is introduced. The approach offers a mapping between different business modeling notations which could be used for bridging BM tools and boosting the MDA approach.

Computational Engineering Finance and Science (cs.CE)FOS: Computer and information sciencesJ.1Software_SOFTWAREENGINEERINGI.6.5Computer Science - Computational Engineering Finance and ScienceI.6.5; J.1
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