Search results for "Arity"

showing 10 items of 2893 documents

Incoherent Dispersive Shocks and Spectral Collapse

2014

We predict the existence of incoherent dispersive shock waves and collapse-like singularities that occur in the spectral evolution of incoherent optical waves propagating in a noninstantaneous nonlinear medium.

Shock wavePhysicsWavefrontTurbulenceIncoherent scatterComputational physicsNOsymbols.namesakeQuantum mechanicsNonlinear mediumsymbolsGravitational singularityRaman scatteringCoherence (physics)
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Shock-induced complex phase-space dynamics of strongly turbulent flows

2017

Shock waves have been thoroughly investigated during the last century in many different branches of physics. In conservative (Hamiltonian) systems the shock singularity is regularized by weak wave dispersion, thus leading to the formation of a rapidly and regular oscillating structure, usually termed in the literature dispersive shock wave (DSW), see e.g. [1]. Here, we show that this fundamental singular process of DSW formation can break down in a system of incoherent nonlinear waves. We consider the strong turbulent regime of a system of nonlocal nonlinear optical waves. We report theoretically and experimentally a characteristic transition: Strengthening the nonlocal character of the non…

Shock wavePhysicsspecklesElectric shockTurbulenceturbulenceBranches of physicsshock wavesmedicine.disease01 natural sciences010305 fluids & plasmasNONonlinear systemsymbols.namesakeClassical mechanicsSingularityvortexPhase space0103 physical sciencesmedicinesymbols010306 general physicsHamiltonian (quantum mechanics)shock waves turbulence speckles vortex
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Impact of self-steepening on incoherent dispersive spectral shocks and collapse-like spectral singularities

2014

International audience; Incoherent dispersive shock waves and collapselike singularities have been recently predicted to occur in the spectral evolution of an incoherent optical wave that propagates in a noninstantaneous nonlinear medium. Here we extend this work by considering the generalized nonlinear Schrödinger equation. We show that self-steepening significantly affects these incoherent spectral singularities: (i) It leads to a delay in the development of incoherent dispersive shocks, and (ii) it arrests the incoherent collapse singularity. Furthermore, we show that the spectral collapselike behavior can be exploited to achieve a significant enhancement (by two orders of magnitudes) of…

Shock wavespecklesIncoherent scatterDegree of coherencespeckles steepening shock waves01 natural sciencesNO010305 fluids & plasmasSingularity[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP][NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Quantum mechanicsNonlinear medium0103 physical sciences[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP][ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]010306 general physicsPhysicsstatistical opticsshock wavesAtomic and Molecular Physics and Optics[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Nonlinear systemQuantum electrodynamicsGravitational singularitysteepening[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Coherence (physics)
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Short article: Eye movements when reading text messaging (txt msgng)

2009

The growing popularity of mobile-phone technology has led to changes in the way people—particularly younger people—communicate. A clear example of this is the advent of Short Message Service (SMS) language, which includes orthographic abbreviations (e.g., omitting vowels, as in wk, week) and phonetic respelling (e.g., using u instead of you). In the present study, we examined the pattern of eye movements during reading of SMS sentences (e.g., my hols wr gr8), relative to normally written sentences, in a sample of skilled “texters”. SMS sentences were created by using (mostly) orthographic or phonological abbreviations. Results showed that there is a reading cost—both at a local level and at…

Short Message ServicePhysiologymedia_common.quotation_subjectEye movementExperimental and Cognitive PsychologyPhoneticsGeneral MedicinePopularityLinguisticsNeuropsychology and Physiological PsychologyPhysiology (medical)Reading (process)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGText messagingPsychologyGeneral PsychologyNormal readingOrthographymedia_commonQuarterly Journal of Experimental Psychology
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Apical transport of osteopontin is independent of N-glycosylation and sialylation.

2002

Studies of how epithelial surface polarity into apical and basolateral domains is generated and maintained have proposed that carbohydrate modifications serve as apical targeting signals for proteins by interacting with lectin sorters. However, the experimental evidence in support of N-glycans, O-glycans and sialic acids mediating apical transport is still very controversial. This could be partly due to the fact that in most studies exogenously expressed proteins were analysed. One has, therefore, examined the role of carbohydrate moieties in apical targeting of the endogenous secretory protein osteopontin in MDCK cells. It was found, however, that sorting of osteopontin does not require N-…

Signal peptideAcetylgalactosamineGlycosylationProtein ConformationSialoglycoproteinsOligosaccharidesBiologyProtein Sorting SignalsKidneyCell Linechemistry.chemical_compoundDogsN-linked glycosylationLectinsCell polarityBenzyl CompoundsAnimalsOsteopontinMolecular BiologyCell PolarityEpithelial CellsCell BiologySialic acidTransport proteincarbohydrates (lipids)Molecular WeightProtein TransportProtein Sorting SignalsSecretory proteinchemistryBiochemistrybiology.proteinSialic AcidsOsteopontinMolecular membrane biology
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Cell-average WENO with progressive order of accuracy close to discontinuities with applications to signal processing

2020

In this paper we translate to the cell-average setting the algorithm for the point-value discretization presented in S. Amat, J. Ruiz, C.-W. Shu, D. F. Y\'a\~nez, A new WENO-2r algorithm with progressive order of accuracy close to discontinuities, submitted to SIAM J. Numer. Anal.. This new strategy tries to improve the results of WENO-($2r-1$) algorithm close to the singularities, resulting in an optimal order of accuracy at these zones. The main idea is to modify the optimal weights so that they have a nonlinear expression that depends on the position of the discontinuities. In this paper we study the application of the new algorithm to signal processing using Harten's multiresolution. Se…

Signal processing0209 industrial biotechnologyDiscretizationComputer science02 engineering and technologyClassification of discontinuitiesCell-averageMathematics::Numerical Analysis020901 industrial engineering & automationImproved adaption to discontinuitiesNew optimal weightsPosition (vector)Multiresolution schemesFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - Numerical AnalysisSignal processingWENO65D05 65D17 65M06 65N0612 MatemáticasApplied MathematicsOrder of accuracyMatemática Aplicada020206 networking & telecommunicationsNumerical Analysis (math.NA)Expression (mathematics)Computational MathematicsNonlinear systemGravitational singularityAlgorithmApplied Mathematics and Computation
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A method for quantifying atrial fibrillation organization based on wave-morphology similarity

2002

A new method for quantifying the organization of single bipolar electrograms recorded in the human atria during atrial fibrillation (AF) is presented. The algorithm relies on the comparison between pairs of local activation waves (LAWs) to estimate their morphological similarity, and returns a regularity index (/spl rho/) which measures the extent of repetitiveness over time of the detected activations. The database consisted of endocardial data from a multipolar basket catheter during AF and intraatrial recordings during atrial flutter. The index showed maximum regularity (/spl rho/=1) for all atrial flutter episodes and decreased significantly when increasing AF complexity as defined by W…

Signal processingBundle of Hismedicine.medical_specialtyMorphological similarityAtrial fibrillation (AF)Biomedical EngineeringSensitivity and SpecificityPattern Recognition AutomatedElectrocardiographySimilarity (network science)Heart RateInternal medicineAtrial Fibrillationotorhinolaryngologic diseasesmedicineHumansClinical treatmentWaveform morphologyMathematicsmedicine.diagnostic_testMinimum distanceModels CardiovascularReproducibility of ResultsSignal Processing Computer-AssistedAtrial fibrillationEndocardial signalmedicine.diseaseTachyarrhythmia organizationCardiologysense organsRhythm classificationBasket catheterElectrocardiographyAlgorithmsAtrial flutterBiomedical engineeringIEEE Transactions on Biomedical Engineering
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Improving similarity measures for re-identification of vehicles using AMR sensors

2013

The use of Anisotropic Magneto-Resistive (AMR) sensors for road traffic monitoring has gained popularity in recent years. The Earth magnetic field variations caused by vehicles passing over this kind of sensors can be measured and used for various purposes, including vehicle re-identification at different sensing zones. AMR sensors provide data that allow the calculation of traffic parameters by using simple signal processing techniques. But when vehicle re-identification is the objective, it is not clear which is the best method to compare the signals from different sensors in order to know whether or not they belong to the same vehicle. This paper presents an experimental study with the o…

Signal processingSimilarity (geometry)SIMPLE (military communications protocol)business.industryComputer scienceReal-time computingElectrical engineeringSimilarity measurebusinessRoad trafficRe identification2013 9th International Conference on Information, Communications & Signal Processing
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Generalized singly-implicit Runge-Kutta methods with arbitrary knots

1985

The aim of this paper is to derive Butcher's generalization of singly-implicit methods without restrictions on the knots. Our analysis yields explicit computable expressions for the similarity transformations involved which allow the efficient implementation of the first phase of the method, i.e. the solution of the nonlinear equations. Furthermore, simple formulas for the second phase of the method, i.e. computation of the approximations at the next nodal point, are established. Finally, the matrix which governs the stability of the method is studied.

Similarity (geometry)Computer Networks and CommunicationsGeneralizationApplied MathematicsComputationMathematical analysisStability (learning theory)Computational MathematicsMatrix (mathematics)Runge–Kutta methodsNonlinear systemSimple (abstract algebra)SoftwareMathematicsBIT
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Views selection for SIFT based object modeling and recognition

2016

In this paper we focus on automatically learning object models in the framework of keypoint based object recognition. The proposed method uses a collection of views of the objects to build the model. For each object the collection is composed of N×M views obtained rotating the object around its vertical and horizontal axis. As keypoint based object recognition using a complete set of views is computationally expensive, we focused on the definition of a selection method that creates, for each object, a subset of the initial views that visually summarize the characteristics of the object and should be suited for recognition. We select the views by determining maxima and minima of a function, …

Similarity (geometry)Computer science3D single-object recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLearning objectScale-invariant feature transform02 engineering and technologySIFT0202 electrical engineering electronic engineering information engineeringMedia TechnologyComputer vision060201 languages & linguisticsObject RecognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryFeature matchingCognitive neuroscience of visual object recognitionPattern recognition06 humanities and the artsObject (computer science)Object Modeling0602 languages and literatureSignal ProcessingObject model020201 artificial intelligence & image processingViola–Jones object detection frameworkArtificial intelligencebusiness
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