Search results for "methodologies"

showing 10 items of 2106 documents

Numerical Study of Two Sparse AMG-methods

2003

A sparse algebraic multigrid method is studied as a cheap and accurate way to compute approximations of Schur complements of matrices arising from the discretization of some symmetric and positive definite partial differential operators. The construction of such a multigrid is discussed and numerical experiments are used to verify the properties of the method.

Numerical AnalysisMathematical optimizationDiscretizationApplied MathematicsNumerical analysisMathematicsofComputing_NUMERICALANALYSISPositive-definite matrixFinite element methodComputational MathematicsMultigrid methodModeling and SimulationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONSchur complementApplied mathematicsPartial derivativeAnalysisMathematicsSparse matrixESAIM: Mathematical Modelling and Numerical Analysis
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Mellin transform approach for the solution of coupled systems of fractional differential equations

2015

In this paper, the solution of a multi-order, multi-degree-of-freedom fractional differential equation is addressed by using the Mellin integral transform. By taking advantage of a technique that relates the transformed function, in points of the complex plane differing in the value of their real part, the solution is found in the Mellin domain by solving a linear set of algebraic equations. The approximate solution of the differential (or integral) equation is restored, in the time domain, by using the inverse Mellin transform in its discretized form.

Numerical AnalysisMellin transformLaplace transformApplied MathematicsMathematical analysisMulti degree of freedom systemsRamanujan's master theoremIntegral equationFractional differential equationWiener–Hopf methodsymbols.namesakeModeling and SimulationLaplace transform applied to differential equationsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONsymbolsMellin inversion theoremTwo-sided Laplace transformMellin transformMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Monotonic solution of heterogeneous anisotropic diffusion problems

2013

Anisotropic problems arise in various areas of science and engineering, for example groundwater transport and petroleum reservoir simulations. The pure diffusive anisotropic time-dependent transport problem is solved on a finite number of nodes, that are selected inside and on the boundary of the given domain, along with possible internal boundaries connecting some of the nodes. An unstructured triangular mesh, that attains the Generalized Anisotropic Delaunay condition for all the triangle sides, is automatically generated by properly connecting all the nodes, starting from an arbitrary initial one. The control volume of each node is the closed polygon given by the union of the midpoint of…

Numerical AnalysisPhysics and Astronomy (miscellaneous)Anisotropic diffusionDelaunay triangulationApplied MathematicsMathematical analysisMonotonic functionGeometryMidpointFinite element methodComputer Science ApplicationsSettore ICAR/01 - IdraulicaComputational MathematicsModeling and SimulationPolygonTriangle meshanisotropic diffusion heterogeneous medium M-matrix Delaunay mesh affine transformation edge swapGalerkin methodComputingMethodologies_COMPUTERGRAPHICSMathematics
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Monotone cubic spline interpolation for functions with a strong gradient

2021

Abstract Spline interpolation has been used in several applications due to its favorable properties regarding smoothness and accuracy of the interpolant. However, when there exists a discontinuity or a steep gradient in the data, some artifacts can appear due to the Gibbs phenomenon. Also, preservation of data monotonicity is a requirement in some applications, and that property is not automatically verified by the interpolator. Hence, some additional techniques have to be incorporated so as to ensure monotonicity. The final interpolator is not actually a spline as C 2 regularity and monotonicity are not ensured at the same time. In this paper, we study sufficient conditions to obtain monot…

Numerical AnalysisSmoothnessApplied MathematicsMathematicsofComputing_NUMERICALANALYSISOrder of accuracyMonotonic functionNumerical Analysis (math.NA)Gibbs phenomenonComputational Mathematicssymbols.namesakeDiscontinuity (linguistics)Spline (mathematics)Monotone polygonFOS: MathematicssymbolsApplied mathematicsMathematics - Numerical AnalysisSpline interpolationMathematicsComputingMethodologies_COMPUTERGRAPHICS
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BOGENVI: A Biomedical Ontology for Modelling Gene*Environment Interactions on Intermediate Phenotypes in Nutrigenomics Research

2008

Nutritional Genomics is demanding computing models and technological platforms in order to support acquisition, storage, management and presentation of all the information generated coming from heterogeneous sources: genotypes, environmental factors (diet and other life-style factors) and phenotypes (intermediate and final phenotypes). Our aim is to build a biomedical ontology in order to modelling gene*environment interactions on intermediate phenotypes by means of formalising and integrating genomic, environmental and phenotypic data, in the field of research on Nutritional Genomics applied to cardiovascular diseases and associated phenotypes. This ontology is part of a Health Information…

Nutritional genomicsbusiness.industryComputer scienceGenomicsWeb engineeringOntology (information science)computer.software_genreData scienceHealth informaticsComputingMethodologies_PATTERNRECOGNITIONNutrigenomicsInformation systemWeb servicebusinesscomputer2008 21st IEEE International Symposium on Computer-Based Medical Systems
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Object Recognition and Modeling Using SIFT Features

2013

In this paper we present a technique for object recognition and modelling based on local image features matching. Given a complete set of views of an object the goal of our technique is the recognition of the same object in an image of a cluttered environment containing the object and an estimate of its pose. The method is based on visual modeling of objects from a multi-view representation of the object to recognize. The first step consists of creating object model, selecting a subset of the available views using SIFT descriptors to evaluate image similarity and relevance. The selected views are then assumed as the model of the object and we show that they can effectively be used to visual…

Object RecognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSIFT.business.industryComputer science3D single-object recognitionObject Recognition; Pose Estimation; Object Model; SIFT.ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognition3D pose estimationObject (computer science)Object-oriented designPose EstimationHaar-like featuresObject modelViola–Jones object detection frameworkComputer visionArtificial intelligencebusinessPoseObject Model
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UPC++ for bioinformatics: A case study using genome-wide association studies

2014

Modern genotyping technologies are able to obtain up to a few million genetic markers (such as SNPs) of an individual within a few minutes of time. Detecting epistasis, such as SNP-SNP interactions, in Genome-Wide Association Studies is an important but time-consuming operation since statistical computations have to be performed for each pair of measured markers. Therefore, a variety of HPC architectures have been used to accelerate these studies. In this work we present a parallel approach for multi-core clusters, which is implemented with UPC++ and takes advantage of the features available in the Partitioned Global Address Space and Object Oriented Programming models. Our solution is base…

Object-oriented programmingComputingMethodologies_PATTERNRECOGNITIONComputer scienceComputationSingle-coreGenome-wide association studyPartitioned global address spaceParallel computingBioinformaticsSupercomputer2014 IEEE International Conference on Cluster Computing (CLUSTER)
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RADIOMETRIC CALIBRATION OF A MULTISPECTRAL CAMERA

2006

We describe in detail a method for calibrating a multispectral imaging system based on interference filters. The calibration aims to remove systematic noises introduced by the sensor, and optic and/or filters from multispectral images. After which, we can correct the non-linearity of the sensor response. Systematic noises are measured through a rigorous protocol for acquiring offset, and thermal, and Flat-Field images. The methods for acquiring Flat-Field image, and linearizing sensor response are novel and particularly efficient in the case of a multispectral imaging system. Indeed, in such a system, the reconstruction of a spectrum for each pixel comes from the set of values taken by this…

Offset (computer science)Pixelbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInverse problemMultispectral pattern recognitionComputer Science::Computer Vision and Pattern RecognitionCalibrationComputer visionArtificial intelligencebusinessRadiometric calibrationRemote sensing
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Higher Education Learning Methodologies and Technologies Online, 4th International Conference, HELMeTO 2022, Palermo, Italy, September 21–23, 2022, R…

2023

This volume of Communications in Computer and Information Science (CCIS) contains the post-proceedings of HELMeTO 2022, the fourth International Conference on Higher Education Learning Methodologies and Technologies Online, which took place during September 21–23, 2022 in Palermo, Italy

Online Higher Education MethodologiesOnline Higher Education technologies
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GRAPH-BASED RULES FOR XML DATA CONVERSION TO OWL ONTOLOGY

2010

International audience; The paper presents a flexible method to enrich and populate an existing OWL ontology from XML data based on graph-based rules. These rules are defined in order to populate automatically a new version of an OWL ontology. Today, most of data exchanged between information systems is done with the help of the XML document. Leading researches in the domain of database systems are moving to semantic model in order to store data and its semantics definition. This flexible method consists in populating an existing OWL ontology from XML data. In paper we present such a method based on the definition of a graph which represents rules that drive the populating process.

Ontolog population[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]ontology enrichment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]XML dataComputingMethodologies_DOCUMENTANDTEXTPROCESSING[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]OWL ontologysemantic annotationRDF
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