Search results for " pattern"

showing 10 items of 2245 documents

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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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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RECOGNIZABLE PICTURE LANGUAGES

1992

The purpose of this paper is to propose a new notion of recognizability for picture (two-dimensional) languages extending the characterization of one-dimensional recognizable languages in terms of local languages and alphabetic mappings. We first introduce the family of local picture languages (denoted by LOC) and, in particular, prove the undecidability of the emptiness problem. Then we define the new family of recognizable picture languages (denoted by REC). We study some combinatorial and language theoretic properties of REC such as ambiguity, closure properties or undecidability results. Finally we compare the family REC with the classical families of languages recognized by four-way a…

Finite-state machinebusiness.industrymedia_common.quotation_subjectClosure (topology)Abstract family of languagesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)AmbiguityOntology languageCone (formal languages)DecidabilityPhilosophy of languageTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESArtificial IntelligenceComputer Science::Programming LanguagesComputer Vision and Pattern RecognitionArtificial intelligencebusinessComputer Science::Formal Languages and Automata TheorySoftwareMathematicsmedia_commonInternational Journal of Pattern Recognition and Artificial Intelligence
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A genetic algorithm for image segmentation

2002

The paper describes a new algorithm for image segmentation. It is based on a genetic approach that allow us to consider the segmentation problem as a global optimization problem (GOP). For this purpose, a fitness function, based on the similarity between images, has been defined. The similarity is a function of both the intensity and the spatial position of pixels. Preliminary results, obtained using real images, show a good performance of the segmentation algorithm.

Fitness functionSettore INF/01 - Informaticabusiness.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognitionImage segmentationReal imageMinimum spanning tree-based segmentationComputer Science::Computer Vision and Pattern RecognitionGenetic algorithmComputer visionSegmentationArtificial intelligencebusinessGenetic algorithm Image SegmentationMathematics
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Smart camera design for intensive embedded computing

2005

Computer-assisted vision plays an important role in our society, in various fields such as personal and goods safety, industrial production, telecommunications, robotics, etc. However, technical developments are still rare and slowed down by various factors linked to sensor cost, lack of system flexibility, difficulty of rapidly developing complex and robust applications, and lack of interaction among these systems themselves, or with their environment. This paper describes our proposal for a smart camera with real-time video processing capabilities. A CMOS sensor, processor and, reconfigurable unit associated in the same chip will allow scalability, flexibility, and high performance.

Flexibility (engineering)CMOS sensorbusiness.industryComputer scienceIndustrial productionRoboticsVideo processingEmbedded systemSignal ProcessingScalabilityComputer Vision and Pattern RecognitionSmart cameraArtificial intelligenceElectrical and Electronic EngineeringImage sensorbusinessReal-Time Imaging
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Modeling, simulation and design optimization of a hoisting rig active heave compensation system

2012

Published version of an article in the journal: International Journal of Machine Learning and Cybernetics. Also available from the publisher at: http://dx.doi.org/10.1007/s13042-012-0076-x The objective of this paper is to present an approach in developing a virtual active heave compensation system for a draw-works on a hoisting rig. A virtual system enables quicker overall product development time of a physical system as well as flexibility in optimizing the design parameters. Development of the virtual system started with the modelling of the draw-works and hoisting rig dynamics. Simulations of this model were run in two operational modes while subject to a sinusoidal wave: heave compensa…

Flexibility (engineering)Draw-worksComputer sciencePayloadbusiness.industrydraw-worksactive heave compensation (AHC)Physical systemmodelingActive heave compensationsimulationCompensation (engineering)Modeling and simulationhoisting rigArtificial IntelligenceNew product developmentComputer Vision and Pattern RecognitionVDP::Technology: 500::Materials science and engineering: 520businessSoftwareSimulationInternational Journal of Machine Learning and Cybernetics
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Experimental analysis of the effect of vegetation on flow and bed shear stress distribution in high-curvature bends

2016

The cross-sectional circulation, which develops in meandering bends, exerts an important role in velocity and the boundary shear stress redistributions. This paper considers the effect of vegetation on cross-sectional flow and bed shear distribution along a high-curvature bend. The analysis is conducted with the aid of data collected in a large-amplitude meandering flume during a reference experiment without vegetation and an experiment with vegetation on the bed. The results show that the presence of vegetation modifies the curvature-induced flow pattern and the directionality of turbulent structures. In fact, in the presence of vegetation, the turbulent structures tend to develop within a…

Flow patternVegetation010504 meteorology & atmospheric sciencesTurbulence0208 environmental biotechnology02 engineering and technologyFlow patternSecondary flowCurvature01 natural sciences020801 environmental engineeringFlumeShear (geology)Meander migrationShear stressGeotechnical engineeringSecondary flowGeology0105 earth and related environmental sciencesEarth-Surface ProcessesGeomorphology
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Comments on “Measurement of dimensionless Chezy coefficient in step-pool reach (Case study of Dizin River in Iran)” by Torabizadeh A., Tahershamsi A.…

2018

This paper is a comment on a previous published paper.

Flow resistanceDimensional analysi010504 meteorology & atmospheric sciencesChézy formulaInstrumentation0208 environmental biotechnologyComputer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyMechanics01 natural sciencesDarcy–Weisbach equation020801 environmental engineeringComputer Science ApplicationsModeling and simulationSelf-similarityFlow resistanceDarcy-Weisbach friction factorModeling and SimulationStep-poolElectrical and Electronic EngineeringInstrumentation0105 earth and related environmental sciencesDimensionless quantityMathematics
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Flow evaluation of red blood cells in capillaroscopic videos

2013

We aim at describing a non-parametric approach to evaluate blood cells velocity in oral capillascopic videos. The proposed methodology is based on the application of standard optical flow algorithms and it is part of a general environment to support during the diagnostic process for evaluating peripheral microcirculation in real time. We validated our approach versus handmade measurements provided by physicians. Results on real data pointed out that our system returns an output coherent to these latter observations.

Flow visualizationRadiology Nuclear Medicine and ImagingSettore INF/01 - Informaticabusiness.industryProcess (computing)Optical flowComputer Science ApplicationFlow (mathematics)Peripheral microcirculationMedicineComputer visionArtificial intelligenceComputer Vision and Pattern Recognitionbusiness
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