Search results for " Applications"

showing 10 items of 4541 documents

Common fixed point theorems for families of occasionally weakly compatible mappings

2011

We prove some common fixed point theorems in probabilistic semi-metric spaces for families of occasionally weakly compatible mappings. We also give a common fixed point theorem for mappings satisfying an integral-type implicit relation.

Discrete mathematicsWeakly compatibleRelation (database)010102 general mathematicsProbabilistic logicOccasionally weakly compatible mappingProbabilistic metric spaceCommon fixed point01 natural sciencesProbabilistic metric spaceComputer Science Applications010101 applied mathematicsLeast fixed pointSettore MAT/05 - Analisi MatematicaModelling and SimulationModeling and SimulationCommon fixed point0101 mathematicsCoincidence pointCommon fixed point theoremMathematicsMathematical and Computer Modelling
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Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition.

2019

Abstract Background and objective It is challenging to conduct real-time identification of myocardial infarction (MI) due to artifact corruption and high dimensionality of multi-lead electrocardiogram (ECG). In the present study, we proposed an automated single-beat MI detection and localization system using dual-Q tunable Q-factor wavelet transformation (Dual-Q TQWT) denoising algorithm. Methods After denoising and segmentation of ECG, a fourth-order wavelet tensor (leads × subbands × samples × beats) was constructed based on the discrete wavelet packet transform (DWPT), to represent the features considering the information of inter-beat, intra-beat, inter-frequency, and inter-lead. To red…

Discrete wavelet transformComputer scienceNoise reductionMyocardial InfarctionWavelet AnalysisHealth InformaticsHilbert–Huang transform030218 nuclear medicine & medical imaging03 medical and health sciencesAutomationElectrocardiography0302 clinical medicineWaveletHumansSegmentationPrincipal Component Analysisbusiness.industryReproducibility of ResultsPattern recognitionSignal Processing Computer-AssistedMultilinear principal component analysisComputer Science ApplicationsCase-Control StudiesArtificial intelligencebusinessClassifier (UML)030217 neurology & neurosurgerySoftwareAlgorithmsComputer methods and programs in biomedicine
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Application of principal component analysis and wavelet transform to fatigue crack detection in waveguides

2010

Ultrasonic Guided Waves (UGWs) are a useful tool in structural health monitoring (SHM) applications that can benefit from built-in transduction, moderately large inspection ranges and high sensitivity to small flaws. This paper describes a SHM method based on UGWs, discrete wavelet transform (DWT), and principal component analysis (PCA) able to detect and quantify the onset and propagation of fatigue cracks in structural waveguides. The method combines the advantages of guided wave signals processed through the DWT with the outcomes of selecting defect-sensitive features to perform a multivariate diagnosis of damage. This diagnosis is based on the PCA. The framework presented in this paper …

Discrete wavelet transformstructural healthEngineeringGuided wave testingSettore ICAR/07 - Geotecnicabusiness.industryWavelet transformTransduction (psychology)principal component analysiultrasonic guided waveComputer Science ApplicationsControl and Systems EngineeringPrincipal component analysisElectronic engineeringUltrasonic sensorSensitivity (control systems)Structural health monitoringElectrical and Electronic Engineeringbusinessfatigue crack detection
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The symmetric boundary element method for unilateral contact problems

2008

Abstract On the basis of the boundary integral equation method, in its symmetric formulation, the frictionless unilateral contact between two elastic bodies has been studied. A boundary discretization by boundary elements leads to an algebraic formulation in the form of a linear complementarity problem. In this paper the process of contact or detachment is obtained through a step by step analysis by using generalized (weighted) quantities as the check elements: the detachment or the contact phenomenon may happen when the weighted traction or the weighted displacement is greater than the weighted cohesion or weighted minimum reference gap, respectively. The applications are performed by usin…

DiscretizationIterative methodMechanical EngineeringTraction (engineering)Mathematical analysisComputational MechanicsGeneral Physics and AstronomyUnilateral contactBoundary (topology)Frictionless contactSymmetric BEMStep by step analysis.Linear complementarity problemDisplacement (vector)Computer Science ApplicationsMacro-elementMechanics of MaterialsSymmetric BEM Frictionless contact Iterative technique Macro-elements Step by step analysis.Iterative techniqueSettore ICAR/08 - Scienza Delle CostruzioniBoundary element methodMathematicsComputer Methods in Applied Mechanics and Engineering
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The indirect force method

1990

Abstract It is known that the matrix force method shows some advantages over the displacement method for certain classes of problems, particularly in optimization and in the stress concentration analysis. Notwithstanding this, few efforts have been made to employ this method in engineering problems. In this paper, within the elastic analysis of frames and trusses, the indirect force method, utilizing beam-node type finite elements, is proposed. This method is based on the kinematical and mechanical study of nodes and of beams, the latter connected with the nodes by their first extremes according to a preliminary arrangement. In this formulation kinematical singularities are included, in the…

DiscretizationMechanical EngineeringMathematical analysisFrame (networking)Structure (category theory)TrussGeometryFinite element methodComputer Science ApplicationsMatrix (mathematics)Modeling and SimulationGeneral Materials ScienceGravitational singularityCivil and Structural EngineeringEquation solvingMathematicsComputers & Structures
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A coupled Finite Volume–Smoothed Particle Hydrodynamics method for incompressible flows

2016

Abstract An hybrid approach is proposed which allows to combine Finite Volume Method (FVM) and Smoothed Particle Hydrodynamics (SPH). The method is based on the partitioning of the computational domain into a portion discretized with a structured grid of hexahedral elements (the FVM-domain ) and a portion filled with Lagrangian particles (the SPH-domain ), separated by an interface made of triangular elements. A smooth transition between the solutions in the FVM and SPH regions is guaranteed by the introduction of a layer of grid cells in the SPH-domain and of a band of virtual particles in the FVM one (both neighboring the interface), on which the hydrodynamic variables are obtained throug…

DiscretizationSPHComputational MechanicsGeneral Physics and AstronomyCoupled FVM–SPH approachBoundary condition01 natural sciences010305 fluids & plasmasSettore ICAR/01 - IdraulicaSmoothed-particle hydrodynamicsPhysics and Astronomy (all)0103 physical sciencesComputational mechanicsMechanics of Material0101 mathematicsMirror particleComputational MechanicPhysicsFinite volume methodMechanical EngineeringMathematical analysisSmoothed Particle HydrodynamicComputer Science Applications1707 Computer Vision and Pattern RecognitionGridComputer Science ApplicationsComputational physics010101 applied mathematicsMechanics of MaterialsCompressibilityReduction (mathematics)Interpolation
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A review of health assessment techniques for distribution transformers in smart distribution grids

2020

Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. This paper will review the literature in the area, analyze the latest techniques as well as highlight the advantages and disadvantages of current methodologies.

Distribution (number theory)Computer science020209 energy02 engineering and technologyDistribution transformer01 natural scienceslcsh:Technologylcsh:Chemistry0103 physical sciences0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencedistribution transformerInstrumentationlcsh:QH301-705.5Transformer (machine learning model)010302 applied physicsFluid Flow and Transfer Processeslcsh:TProcess Chemistry and TechnologyGeneral Engineeringreal-time assessmentTransformer healthtransformer failureslcsh:QC1-999Computer Science ApplicationsReliability engineeringSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaHealth assessmentlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Distribution gridlcsh:Engineering (General). Civil engineering (General)lcsh:Physicstransformer failure
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Robust stabilisation of 2D state-delayed stochastic systems with randomly occurring uncertainties and nonlinearities

2013

This paper is concerned with the state feedback control problem for a class of two-dimensional (2D) discrete-time stochastic systems with time-delays, randomly occurring uncertainties and nonlinearities. Both the sector-like nonlinearities and the norm-bounded uncertainties enter into the system in random ways, and such randomly occurring uncertainties and nonlinearities obey certain mutually uncorrelated Bernoulli random binary distribution laws. Sufficient computationally tractable linear matrix inequality–based conditions are established for the 2D nonlinear stochastic time-delay systems to be asymptotically stable in the mean-square sense, and then the explicit expression of the desired…

Distribution (number theory)Linear matrix inequality (LMI)Linear matrix inequality2D stochastic systems; Linear matrix inequality (LMI); Randomly occurring nonlinearities; Randomly occurring uncertainties; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionBinary numberComputer Science Applications1707 Computer Vision and Pattern RecognitionExpression (computer science)Randomly occurring nonlinearitiesComputer Science ApplicationsTheoretical Computer ScienceNonlinear systemBernoulli's principleControl and Systems EngineeringControl theoryStability theory2D stochastic systemsRandomly occurring uncertaintiesMathematicsInternational Journal of Systems Science
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Programming languages for data-Intensive HPC applications: A systematic mapping study

2020

This work is a result of activities from COST Action 10406 High -Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology. FCT, Portugal for grants: NOVA LINCS Research Laboratory Ref. UID/ CEC/ 04516/ 2019); INESC-ID Ref. UID/CEC/50021/2019; BioISI Ref. UID/MULTI/04046/2103; LASIGE Research Unit Ref. UID/CEC/00408/ 2019. A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity…

Domain-Specific language (DSL)High performance computing (HPC)Computer scienceComputer Networks and CommunicationsBig data; Data-intensive applications; Domain-Specific language (DSL); General-Purpose language (GPL); High performance computing (HPC); Programming languages; Systematic mapping study (SMS)Systematic mapping study (SMS)Big dataData-intensive applicationsContext (language use)computer.software_genreTheoretical Computer ScienceSoftware portabilityBig dataSoftwareArtificial Intelligencebusiness.industryProgramming languageSoftware developmentGeneral-Purpose language (GPL)UsabilityProgramming languagesDigital libraryComputer Graphics and Computer-Aided DesignHardware and ArchitecturebusinesscomputerSoftware
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Drivers, barriers and impacts of digitalisation in rural areas from the viewpoint of experts

2022

Abstract Context: The domain of rural areas, including rural communities, agriculture, and forestry, is going through a process of deep digital transformation. Digitalisation can have positive impacts on sustainability in terms of greater environmental control, and community prosperity. At the same time, it can also have disruptive effects, with the marginalisation of actors that cannot cope with the change. When developing a novel system for rural areas, requirements engineers should carefully consider the specific socio-economic characteristics of the domain, so that potential positive effects can be maximised, while mitigating negative impacts. Objective: The goal of this paper is to sup…

Driversinterviewstuottavuus02 engineering and technologyRural areas12. Responsible consumptionempirical studymetsätalousInterviewstaloudelliset vaikutuksetmaatalousSustainability requirements0502 economics and businesssustainability requirements0202 electrical engineering electronic engineering information engineeringmaaseutudigitalisationdigitalisaatioRequirements Engineeringkestävä kehitys05 social sciencesSoftware Engineering020207 software engineeringAgricultureForestryteknologinen kehityskehittäminenSoftware engineering Requirements engineering Sustainability requirements Interviews Digitalisation Empirical studyEmpirical studyComputer Science ApplicationsDigitalisationympäristövaikutuksetImpactsaluekehitysrequirements engineeringohjelmistokehitys050203 business & managementSoftwareBarriersInformation Systemssoftware engineering
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