Search results for "parametri"

showing 10 items of 1144 documents

Semi-parametric estimation of the intensity function in space-time point processes

2009

Semi-parametric estimation seismic models predictive estimates likelihood function
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Exploiting the optical quadratic nonlinearity of zinc-blende semiconductors for guided-wave terahertz generation: A material comparison

2010

We present a detailed analysis and comparison of dielectric waveguides made of CdTe, GaP, GaAs and InP for modal phase matched optical difference frequency generation (DFG) in the terahertz domain. From the form of the DFG equations, we derived the definition of a very general figure of merit (FOM). In turn, this FOM enabled us to compare different configurations, by taking into account linear and nonlinear susceptibility dispersion, terahertz absorption, and a rigorous evaluation of the waveguide modes properties. The most efficient waveguides found with this procedure are predicted to approach the quantum efficiency limit with input optical power in the order of kWs.

Semiconductor waveguidesTerahertz radiationPhase (waves)FOS: Physical sciencesPhysics::OpticsOptical powerFrequency conversionSettore ING-INF/01 - ElettronicaOptical pulse generationSemiconductor materialsDispersion (optics)Optical phase matchingFigure of meritOptical parametric amplifiersElectrical and Electronic EngineeringOptical propagation in nonlinear mediaPhysicsGuided wave testingbusiness.industryOptical frequency conversionCondensed Matter PhysicsAtomic and Molecular Physics and OpticsOptical waveguidesNonlinear systemOptical materialsTerahertz generationOptoelectronicsOptical frequency conversion Optical materials Optical parametric amplifiers Optical phase matching Optical propagation in nonlinear media Optical pulse generation Optical waveguides Frequency conversion Semiconductor materials Semiconductor waveguidesQuantum efficiencybusinessOptics (physics.optics)Physics - OpticsIEEE Journal of Quantum Electronics
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Segmentation algorithm for non-stationary compound Poisson processes

2010

We introduce an algorithm for the segmentation of a class of regime switching processes. The segmentation algorithm is a non parametric statistical method able to identify the regimes (patches) of a time series. The process is composed of consecutive patches of variable length. In each patch the process is described by a stationary compound Poisson process, i.e. a Poisson process where each count is associated with a fluctuating signal. The parameters of the process are different in each patch and therefore the time series is non-stationary. Our method is a generalization of the algorithm introduced by Bernaola-Galván, et al. [Phys. Rev. Lett. 87, 168105 (2001)]. We show that the new algori…

Series (mathematics)GeneralizationEconophysicsProcess (computing)Nonparametric statisticsStochastic processes Statistics Financial markets EconophysicsStochastic processeFinancial marketCondensed Matter PhysicsPoisson distribution01 natural sciencesSignal010305 fluids & plasmasElectronic Optical and Magnetic Materialssymbols.namesake0103 physical sciencesCompound Poisson processsymbolsSegmentation010306 general physicsAlgorithmStatisticMathematicsThe European Physical Journal B
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Experimental approach for testing the uncoupling between cardiovascular variability series

2002

In cardiovascular variability analysis, the significance of the coupling between two series is commonly assessed by defining a zero level on the magnitude-squared coherence (MSC). Although the use of the conventional value of 0.5 does not consider the dependence of MSC estimates on the analysis parameters, a theoretical threshold Tt is available only for the weighted covariance (WC) estimator. In this study, an experimental threshold for zero coherence Te was derived by a statistical test from the sampling distribution of MSC estimated on completely uncoupled time series. MSC was estimated by the WC method (Parzen window, spectral bandwidth B = 0.015, 0.02, 0.025, 0.03 Hz) and by the parame…

Series (mathematics)Kernel density estimationModels CardiovascularMyocardial InfarctionBiomedical EngineeringEstimatorComputer Science Applications1707 Computer Vision and Pattern RecognitionSignal Processing Computer-AssistedCoherence (statistics)CovarianceFeedbackComputer Science ApplicationsSpectral analysiElectrocardiographySampling distributionAutoregressive modelCardiovascular variability serieStatisticsHumansMagnitude-squared coherenceParametric statisticsMathematicsMedical & Biological Engineering & Computing
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Modeling Ordinal Item Responses via Binary GLMMs and Alternative Link Functions: An Application to Measurement of a Perceived Service Quality

2010

Evaluation of a service on the basis of consumer opinion is a widespread practice in many fields. The assessment of perceived quality [7] of a service is generally carried out through administration of a questionnaire, composed of several items with responses posed on an ordinal scale, whereby each item represents an important feature of the evaluated service [3, 7]. In this context, the aim is to evaluate something similar to the external effectiveness, that is the part of efficacy related to the satisfaction expressed by the service users for the provided service. A particular and important example of service users is represented by students’ responses measuring the perceived quality of s…

Service (business)Service qualityParametric link GLMM Rasch models ordinal dataComputer sciencemedia_common.quotation_subjectApplied psychologyContext (language use)Service providerCertificateType of serviceFront officePerceptionOperations managementSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statisticamedia_common
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On Automaton Recognizability of Abnormal Extremals

2002

For a generic single-input planar control system $\dot x=F(x)+ u G(x),$ $x\in\mathbb{R}^2,$ $u\in [-1,1]$, $F(0)=0$, we analyze the properties of abnormal extremals for the minimum time stabilization to the origin. We prove that abnormal extremals are finite concatenations of bang arcs with switchings occurring on the set in which the vector fields F and G are collinear. Moreover, all the generic singularities of one parametric family of extremal trajectories near to abnormal extremals are studied. In particular, we prove that all possible sequences of these singularities, and hence all generic abnormal extremals, can be classified by a set of words recognizable by an automaton.

Set (abstract data type)Discrete mathematicsControl and OptimizationPlanarApplied MathematicsControl systemVector fieldGravitational singularityParametric familyOptimal controlAutomatonMathematicsSIAM Journal on Control and Optimization
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On Using “Stochastic Learning on the Line” to Design Novel Distance Estimation Methods

2018

In this paper, we consider the problem of Distance Estimation (DE) when the inputs are the x and y coordinates of the points under consideration. The aim of the problem is to yield an accurate value for the real (road) distance between the points specified by the latter coordinates. This problem has, typically, been tackled by utilizing parametric functions called Distance Estimation Functions (DEFs). The parameters are learned from the training data (i.e., the true road distances) between a subset of the points under consideration. We propose to use Learning Automata (LA)-based strategies to solve the problem. In particular, we resort to the Adaptive Tertiary Search (ATS) strategy, propose…

Set (abstract data type)Scheme (programming language)Current (mathematics)Learning automataComputer scienceLine (geometry)Function (mathematics)Parametric equationAlgorithmcomputercomputer.programming_languagePower (physics)
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L'influenza dell'irrigazione su diversi parametri vegeto-produttivi ed eco-fisiologici del Pistacchio (Pistacia vera L.)

2012

Settore AGR/03 - Arboricoltura Generale E Coltivazioni Arboreepistacchio.influenza dell'irrigazioneparametri vegeto-produttivi ed eco-fisiologici
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Control of Bactrocera oleae by low environmental impact methods: NPC methodology to evaluate the efficacy of lure-and-kill method and copper hydroxid…

2011

The NonParametric Combination (NPC) methodology is proposed to verify the influence of the lure-and-kill method, using Ecotraps (Vioryl SA), on the distribution of Bactrocera oleae (Rossi) (Diptera Tephritidae) infestation in olive groves, and the integration of this method with copper hydroxide sprayings. This approach does not require the verification of any rigid assumption as many parametric methods do. Results of field trials indicate a strict relationship among the efficiency of the lure-and-kill method on time, dimension of the field, and population density of the olive fly. Moreover, the lure-and-kill method alone seems insufficient to provide an efficient control of the olive fly p…

Settore AGR/11 - Entomologia Generale E ApplicataSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaBactrocera oleae lure-and-kill copper hydroxide NonParametric Combination analysis NPC.
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Multi-parametric GIS analysis to assess gully erosion susceptibility: a test in southern Sicily, Italy

2011

: A GIS-analysis was carried out in a test basin of southern Sicily, the Magazzolo River basin, in order to assess susceptibility conditions to gully erosion phenomena. The linear density of ephemeral and permanent gullies computed within each class of nine environmental variables was used to generate a gully erosion susceptibility map for the area. A validation procedure carried out in order to test the reliability of the adopted method highlighted a clear correlation between the occurrence of gullies and the computed susceptibility levels

Settore GEO/04 - Geografia Fisica E GeomorfologiaGully water erosion GIS susceptibility multiparametric modelsSettore GEO/05 - Geologia Applicatagully erosion GIS susceptibility Sicily
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