Search results for "vector"

showing 10 items of 2660 documents

Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning

2017

Parameter-less ventricular fibrillation detection with time-frequency representation.Time-frequency representations are treated as images for a classifier.A comparison for four classifiers demonstrates the validity of the proposed method.The proposed technique could be applied to any signal and research field.This is a novel approach to signal analysis. Background and objectiveTo safely select the proper therapy for Ventricullar Fibrillation (VF) is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms. Provided that the required therapy would not be the same, an erroneous detection might lead to serious injuries to the patient or even cause Ventricular Fibr…

TachycardiaSupport Vector MachineComputer scienceSpeech recognition0206 medical engineeringDatasets as TopicHealth Informatics02 engineering and technologyVentricular tachycardiaMachine learningcomputer.software_genreMachine LearningElectrocardiographyTachycardia0202 electrical engineering electronic engineering information engineeringmedicineHumansFibrillationbusiness.industrySignal Processing Computer-AssistedPattern recognitionmedicine.disease020601 biomedical engineeringComputer Science ApplicationsVentricular FibrillationVentricular fibrillation020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligencemedicine.symptombusinessClassifier (UML)computerSoftwareComputer Methods and Programs in Biomedicine
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Spacelike energy of timelike unit vector fields on a Lorentzian manifold

2004

On a Lorentzian manifold, we define a new functional on the space of unit timelike vector fields given by the L2 norm of the restriction of the covariant derivative of the vector field to its orthogonal complement. This spacelike energy is related with the energy of the vector field as a map on the tangent bundle endowed with the Kaluza–Klein metric, but it is more adapted to the situation. We compute the first and second variation of the functional and we exhibit several examples of critical points on cosmological models as generalized Robertson–Walker spaces and Godel universe, on Einstein and contact manifolds and on Lorentzian Berger’s spheres. For these critical points we have also stu…

Tangent bundleMathematical analysisGeneral Physics and AstronomyOrthogonal complementCongruence (general relativity)ManifoldCovariant derivativeGeneral Relativity and Quantum CosmologyDifferential geometryUnit vectorVector fieldMathematics::Differential GeometryGeometry and TopologyMathematical PhysicsMathematicsMathematical physicsJournal of Geometry and Physics
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A historical account on characterizations ofC1-manifolds in Euclidean spaces by tangent cones

2014

Abstract A historical account on characterizations of C 1 -manifolds in Euclidean spaces by tangent cones is provided. Old characterizations of smooth manifold (by tangent cones), due to Valiron (1926, 1927) and Severi (1929, 1934) are recovered; modern characterizations, due to Gluck (1966, 1968) and Tierno (1997) are restated. All these results are consequences of the Four-cones coincidence theorem due to [1] .

Tangent bundlePure mathematicsApplied MathematicsMathematical analysisTangent coneTangentManifoldVertical tangentTangent spacePushforward (differential)Mathematics::Differential GeometryTangent vectorAnalysisMathematicsJournal of Mathematical Analysis and Applications
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Rectifiability, weak linear approximation and tangent measures

1995

Tangent measureMathematical analysisTangent vectorLinear approximationMathematics
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Robust g-filter using support vector method

2004

This Letter presents a new approach to time series modelling using the support vector machines (SVM). Although the g filter can provide stability in several time series models, the SVM is proposed here to provide robustness in the estimation of the g filter coefficients. Examples in chaotic time series prediction and channel equalization show the advantages of the joint SVM g filter. Publicado

TelecomunicacionesChannel equalizationGamma filterIterated predictionSuuport vector machines
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Learning non-linear time-scales with kernel -filters

2009

A family of kernel methods, based on the @c-filter structure, is presented for non-linear system identification and time series prediction. The kernel trick allows us to develop the natural non-linear extension of the (linear) support vector machine (SVM) @c-filter [G. Camps-Valls, M. Martinez-Ramon, J.L. Rojo-Alvarez, E. Soria-Olivas, Robust @c-filter using support vector machines, Neurocomput. J. 62(12) (2004) 493-499.], but this approach yields a rigid system model without non-linear cross relation between time-scales. Several functional analysis properties allow us to develop a full, principled family of kernel @c-filters. The improved performance in several application examples suggest…

TelecomunicacionesSupport vector machinesbusiness.industryCognitive NeuroscienceNonlinear System IdentificationPattern recognitionKernel principal component analysisComputer Science ApplicationsKernel methodMercer's KernelArtificial IntelligenceVariable kernel density estimationString kernelKernel embedding of distributionsPolynomial kernelRadial basis function kernelGamma-FiltersArtificial intelligenceTree kernelbusinessMathematicsNeurocomputing
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Robust γ-filter using support vector machines

2009

This Letter presents a new approach to time-series modelling using the support vector machines (SVM). Although the g-filter can provide stability in several time-series models, the SVM is proposed here to provide robustness in the estimation of the g-filter coefficients. Examples in chaotic time-series prediction and channel equalization show the advantages of the joint SVM g-filter. Teoría de la Señal y Comunicaciones

Telecomunicacionesbusiness.industryComputer scienceCognitive NeuroscienceChaoticPattern recognitionComputer Science ApplicationsSupport vector machineFilter designArtificial IntelligenceRobustness (computer science)3325 Tecnología de las TelecomunicacionesArtificial intelligencebusinessNeurocomputing
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A model of oil burnout from glass fabric

1997

A mathematical model is proposed for the process of the removal (by burning) of oil contained in a glass fibre insulation fabric manufactured in Latvia. The small aspect ratio of the fabric allows simplifications to the modelling which reduce the problem to a single nonlinear ordinary differential equation. When the effects of reflected radiation are also included, the differential equation is supplemented by two integral equations. Predictions of the position of the ‘burning zone’ accord well with observations made at the factory. The effect of the inclusion of extra heating chambers is also examined, and it is found that the temperature gradient in the fabric may be greatly decreased in t…

Temperature gradientMaterials sciencePosition (vector)Differential equationGlass fabricGlass fiberComposite materialNonlinear differential equationsIntegral equationAspect ratio (image)
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Estimates for Sums of Eigenvalues of the Free Plate via the Fourier Transform

2017

Using the Fourier transform, we obtain upper bounds for sums of eigenvalues of the free plate.

Tension (physics)Applied MathematicsSums of eigenvaluesMathematical analysisFree plate35P15 35J40 74K20General MedicineMathematics::Spectral TheoryDomain (mathematical analysis)Ambient spaceMathematics - Spectral TheoryPhysics::Fluid Dynamicssymbols.namesakeFourier transformVolume (thermodynamics)Dimension (vector space)Bilaplace operatorSettore MAT/05 - Analisi MatematicasymbolsFOS: MathematicsSpectral Theory (math.SP)AnalysisEigenvalues and eigenvectorsMathematics
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Comprehensive Modeling and Experimental Testing of Fault Detection and Management of a Nonredundant Fault-Tolerant VSI

2015

This paper presents an investigation and a comprehensive analysis on fault operations in a conventional three-phase voltage source inverter. After an introductory section dealing with power converter reliability and fault analysis issues in power electronics, a generalized switching function accounting for both healthy and faulty conditions and an easy and feasible method to embed fault diagnosis and reconfiguration within the control algorithm are introduced. The proposed system has simple and compact implementation. Experimental results operating both at open- and closed-loop current control, obtained using a test bench realized using a dSPACE system and the fault-tolerant inverter protot…

Test benchEngineeringControl; Fault diagnosis; Fault tolerance; Inverters; Power converters; Pulsewidth modulationSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciFault (power engineering)Pulse width modulationFault detection and isolationMathematical modelControl theoryControlinverterInsulated gate bipolar transistorElectrical and Electronic EngineeringCircuit faultFault diagnosisPower convertersFault tolerant systembusiness.industryControl reconfigurationFault toleranceFault toleranceControl engineeringfault diagnosiInvertersPower converterStuck-at faultControl and Systems EngineeringInverterpulsewidth modulationVectorbusiness
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