Search results for " pattern"

showing 10 items of 2245 documents

Vegetation effects on cross-sectional flow in a large amplitude meandering bend

2017

ABSTRACTCross-stream circulation, which develops in meandering bends, exerts an important role in velocity redistribution. This paper investigates how the presence of vegetation could affect the evolution pattern of cross-stream flow along a high-curvature meandering bend. The analysis is conducted with the aid of data collected in a meandering laboratory flume over non-vegetated and vegetated beds. The experiments reveal that, once the vegetation is introduced, the flow pattern determined by the channel’s curvature is interrupted. In the presence of vegetation, the central-region circulation cell seems to be divided into thin circulation cells developing at the top of the vegetated layer a…

Hydrologygeographygeography.geographical_feature_category0208 environmental biotechnologyFlow (psychology)Point bar02 engineering and technologySecondary flowCurvatureChannel bend flow pattern meandering secondary flow vegetated flow020801 environmental engineeringFlumeCirculation (fluid dynamics)medicinemedicine.symptomVegetation (pathology)GeologyChannel (geography)Water Science and TechnologyCivil and Structural EngineeringJournal of Hydraulic Research
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Analysis of soil surface component patterns affecting runoff generation. An example of methods applied to Mediterranean hillslopes in Alicante (Spain)

2008

Spatial patterns of soil surface components (vegetation, rock fragments, crusts, bedrock outcrops, etc.) are a key factor determining hydrological functioning of hillslopes. A methodological approach to analyse the patterns of soil surface components at a detailed scale is proposed in this paper. The methods proposed are applied to two contrasting semi-arid Mediterranean hillslopes, and the influence of soil surface component patterns on the runoff response of the slopes was analysed. A soil surface components map was derived from a high resolution photo-mosaic obtained in the field by means of a digital camera. Rainfall simulation experimental data were used to characterise the hydrologica…

Hydrologygeographygeography.geographical_feature_categoryBedrockSoil surface componentsHydrographRunoff generationInfiltration (hydrology)Rock fragmentSoil waterSpatial ecologyHillslope processesCommon spatial patternPatternsSurface runoffGeologyEarth-Surface ProcessesGeomorphology
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Eckhaus instability of stationary patterns in hyperbolic reaction–diffusion models on large finite domains

2022

AbstractWe have theoretically investigated the phenomenon of Eckhaus instability of stationary patterns arising in hyperbolic reaction–diffusion models on large finite domains, in both supercritical and subcritical regime. Adopting multiple-scale weakly-nonlinear analysis, we have deduced the cubic and cubic–quintic real Ginzburg–Landau equations ruling the evolution of pattern amplitude close to criticality. Starting from these envelope equations, we have provided the explicit expressions of the most relevant dynamical features characterizing primary and secondary quantized branches of any order: stationary amplitude, existence and stability thresholds and linear growth rate. Particular em…

Hyperbolic reaction–diffusion models Inertial effects Pattern dynamics Ginzburg–Landau equation Eckhaus instability Phase slipsComputational MathematicsNumerical AnalysisApplied MathematicsSettore MAT/07 - Fisica MatematicaAnalysis
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Hypergraph imaging: an overview

2002

Hypergraph theory as originally developed by Berge (Hypergraphe, Dunod, Paris, 1987) is a theory of finite combinatorial sets, modeling lot of problems of operational research and combinatorial optimization. This framework turns out to be very interesting for many other applications, in particular for computer vision. In this paper, we are going to survey the relationship between combinatorial sets and image processing. More precisely, we propose an overview of different applications from image hypergraph models to image analysis. It mainly focuses on the combinatorial representation of an image and shows the effectiveness of this approach to low level image processing; in particular to seg…

HypergraphTheoretical computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingImage segmentationEdge detectionScale spaceArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingCombinatorial optimizationComputer Vision and Pattern RecognitionRepresentation (mathematics)SoftwareMathematicsofComputing_DISCRETEMATHEMATICSFeature detection (computer vision)MathematicsPattern Recognition
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Comparing local structures of spatio-temporal point processes on linear networks

2022

We employ the Local Indicators of Spatio-Temporal Association (LISTA) functions on linear networks to build a statistical test for local second-order structure. This allows to identify differences in the spatio-temporal clustering behaviour of two point patterns, a point pattern of interest and a background one, both occurring on the same linear network. We illustrate the proposed methodology analysing a traffic-related problem.

Hypothesis testing Linear networks Local Indicators of Spatio-Temporal Association Local properties Second-order characteristics Spatio-temporal point patternsSettore SECS-S/01 - Statistica
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Robust H∞ filtering for networked control systems with markovian jumps and packet dropouts

2014

Published version of an article in the journal: Modeling, Identification and Control. Also available from the publisher at: http://dx.doi.org/10.4173/mic.2014.3.3 Open Access This paper deals with the H∞ filtering problem for uncertain networked control systems. In the study, network-induced delays, limited communication capacity due to signal quantization and packet dropout are all taken into consideration. The finite distributed delays with probability of occurrence in a random way is introduced in the network.The packet dropout is described by a Bernoulli process. The system is modeled as Markovian jumps system with partially known transition probabilities. A full-order filter is designe…

H∞ filterNetwork packetComputer scienceMarkov processComputer Science Applications1707 Computer Vision and Pattern RecognitionNetworked control systemMarkov jump systemH-Infinity filterH filterVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411lcsh:QA75.5-76.95Computer Science Applicationssymbols.namesakeIdentification (information)Markovian jumpControl and Systems EngineeringControl theorypacket dropoutsH∞ filter; Markov jump system; Networked control system; Packet dropouts; Control and Systems Engineering; Software; Modeling and Simulation; Computer Science Applications1707 Computer Vision and Pattern RecognitionModeling and SimulationControl systemsymbolslcsh:Electronic computers. Computer sciencenetworked control systemSoftware
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Mining travel patterns from mobile ticket applications

2014

Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 Customers’ travel patterns are highly interesting for transportation companies due tothe insight it gives over the use for their services. Logs of the customers’ location datais an important source for such companies. However, such data is not collected and isprivately owned by the individual customers. To find the customers’ travel patterns,their location data requires to match a coded map of transportation network.This paper introduces a novel solution that automatically collects location and timedata from the customers without the need for the customers to actively submit thedata. This paper presen…

IKT590travel patterns ; mining ; mobile ticket applicationsVDP::Technology: 500::Information and communication technology: 550
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Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis

2019

Nowadays, uterine fibroids can be treated using Magnetic Resonance guided Focused Ultrasound Surgery (MRgFUS), which is a non-invasive therapy exploiting thermal ablation. In order to measure the Non-Perfused Volume (NPV) for treatment response assessment, the ablated fibroid areas (i.e., Region of Treatment, ROT) are manually contoured by a radiologist. The current operator-dependent methodology could affect the subsequent follow-up phases, due to the lack of result repeatability. In addition, this fully manual procedure is time-consuming, considerably increasing execution times. These critical issues can be addressed only by means of accurate and efficient automated Pattern Recognition ap…

ING-INF/06 - BIOINGEGNERIA ELETTRONICA E INFORMATICAmedicine.medical_specialtyTreatment responseUterine fibroidsComputer scienceMagnetic Resonance guided Focused Ultrasound Surgery0206 medical engineeringThermal ablation02 engineering and technologyClinical feasibility; Computer-assisted medical image segmentation; Magnetic resonance guided focused ultrasound surgery; Non-Perfused volume assessment; Pattern recognition; Uterine fibroidsPattern RecognitionClinical feasibilityING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI030218 nuclear medicine & medical imagingMagnetic resonance guided focused ultrasound surgeryMagnetic Resonance guided Focused Ultrasound Surgery Uterine fibroids03 medical and health sciences0302 clinical medicineNon-Perfused Volume assessmentmedicineUterine fibroidSegmentationUterine fibroids Indexed keywordsSettore INF/01 - InformaticaComputer Science (all)INF/01 - INFORMATICAmedicine.disease020601 biomedical engineeringComputer-assisted medical image segmentation; Pattern Recognition; Magnetic Resonance guided Focused Ultrasound Surgery Uterine fibroids; Non-Perfused Volume assessment; Clinical feasibility;Decision Sciences (all)Pattern recognition (psychology)RadiologyUterine fibroidsComputer-assisted medical image segmentation
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A Civilization of Death: Argumentative and Rhetorical Strategies in the Catholic Church's Position on Biotechnology

2017

Although political deliberation rarely proceeds fairly and effectively (Habermas 1984, 1989), the author of this paper assumes the fundamentally deliberative nature of the democratic public sphere, in which different religious institutions may take a stance and argue either for or against certain legal solutions. The study examines argumentation behind the Catholic Church’s negative stance on biotechnologies such as, for example, in vitro fertilization (IVF). Drawing on the theoretical and descriptive work on normative assumptions, knowledge bases and argumentative patterns involved in practical reasoning (Perelman, Olbrechts- Tyteca 1969; Walton 1990; Fairclough, Fairclough 2010, 2012), as…

IVF debateargumentative patternspolitical discoursepublic debate
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Quantitative comparison of new image processing methods for volumetric analysis of left ventricular contrast echocardiograms

2003

An effort has been made to develop image processing methods which allow a definite and precise tracking of the borderline of the ventricle in two-dimensional echocardiograms. Experience is reported with two new methods, which are based on the gray-level rise (GL) and the signal-to-noise ratio (SNR) in combined heart-phase-triggered image series. A quantitative comparison of these time-series methods is presented with respect to the interpretation of a single native image (noncontrast image), a single contrast-material image, the corresponding subtraction image, and the corresponding color superposition image. The comparison is based on the calculation of the ejection fraction using the abov…

Image SeriesComputer sciencebusiness.industrymedia_common.quotation_subjectSubtractionImage processingSuperposition principleSignal-to-noise ratio (imaging)Computer Science::Computer Vision and Pattern RecognitionMedical imagingContrast (vision)Computer visionArtificial intelligencebusinessImage resolutionmedia_common[1989] Proceedings. Computers in Cardiology
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