Search results for " serie"

showing 10 items of 760 documents

Experimental characterization of series arc faults in AC and DC electrical circuits

2014

This paper presents an experimental characterization of the arc fault phenomenon, for both AC and DC systems, focusing the attention on series arcs. The aim of the study is to find some current characteristics, which can be significant for the purpose of arc detection. The arcing current signal is analyzed in both time and frequency domain. For the AC analysis, the test conditions are chosen in accordance with the “unwanted tripping tests” and the “operation inhibition tests” reported in the Standard UL 1699. The DC study is carried out on the currents waveforms acquired during some on-field tests on a PV plant. Starting from the study herein presented, the authors have found that is it pos…

Engineeringbusiness.industryarc faults detection home protection photovoltaic systems electrical safety series arcs arc fault circuit interrupter (AFCI) UL 1699Electrical engineeringArc-fault circuit interrupterlaw.inventionArc (geometry)Electric arclawFrequency domainElectrical networkElectronic engineeringHarmonicArc flashWaveformbusinessSettore ING-INF/07 - Misure Elettriche E Elettroniche
researchProduct

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection

2020

Abstract Optical remotely sensed data are typically discontinuous, with missing values due to cloud cover. Consequently, gap-filling solutions are needed for accurate crop phenology characterization. The here presented Decomposition and Analysis of Time Series software (DATimeS) expands established time series interpolation methods with a diversity of advanced machine learning fitting algorithms (e.g., Gaussian Process Regression: GPR) particularly effective for the reconstruction of multiple-seasons vegetation temporal patterns. DATimeS is freely available as a powerful image time series software that generates cloud-free composite maps and captures seasonal vegetation dynamics from regula…

Environmental Engineering010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesArticleSoftwareKrigingTime seriesLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesSeries (mathematics)business.industryEcological ModelingVegetation15. Life on landMissing dataArtificial intelligencebusinesscomputerSoftwareInterpolationEnvironmental Modelling & Software
researchProduct

A note on temperature effect estimate in mortality time series analysis

2004

EpidemiologyStatisticsMEDLINEData interpretationGeneral MedicineTime seriesHot TemperatureMathematicsInternational Journal of Epidemiology
researchProduct

Smooth and non-smooth traveling wave solutions of some generalized Camassa–Holm equations

2014

In this paper we employ two recent analytical approaches to investigate the possible classes of traveling wave solutions of some members of a recently-derived integrable family of generalized Camassa-Holm (GCH) equations. A recent, novel application of phase-plane analysis is employed to analyze the singular traveling wave equations of three of the GCH NLPDEs, i.e. the possible non-smooth peakon, cuspon and compacton solutions. Two of the GCH equations do not support singular traveling waves. The third equation supports four-segmented, non-smooth $M$-wave solutions, while the fourth supports both solitary (peakon) and periodic (cuspon) cusp waves in different parameter regimes. Moreover, sm…

Equilibrium pointCusp (singularity)Numerical AnalysisSeries (mathematics)Applied MathematicsMathematical analysisFOS: Physical sciencesGeneralized Camassa-Holm Equations Traveling waves Homoclinic and Heteroclinic OrbitsMathematical Physics (math-ph)PeakonModeling and SimulationSaddle pointHomoclinic orbitMathematical PhysicsSaddleConvergent seriesMathematicsCommunications in Nonlinear Science and Numerical Simulation
researchProduct

Regular and singular pulse and front solutions and possible isochronous behavior in the short-pulse equation: Phase-plane, multi-infinite series and …

2014

In this paper we employ three recent analytical approaches to investigate the possible classes of traveling wave solutions of some members of a family of so-called short-pulse equations (SPE). A recent, novel application of phase-plane analysis is first employed to show the existence of breaking kink wave solutions in certain parameter regimes. Secondly, smooth traveling waves are derived using a recent technique to derive convergent multi-infinite series solutions for the homoclinic (heteroclinic) orbits of the traveling-wave equations for the SPE equation, as well as for its generalized version with arbitrary coefficients. These correspond to pulse (kink or shock) solutions respectively o…

Equilibrium pointNumerical AnalysisNonlinear Sciences - Exactly Solvable and Integrable SystemsSeries (mathematics)Homoclinic and heteroclinic orbitApplied MathematicsMathematical analysisFOS: Physical sciencesMathematical Physics (math-ph)Phase planeTraveling waveNonlinear systemSPE and generalized SPE equationModeling and SimulationSaddle pointHomoclinic orbitExactly Solvable and Integrable Systems (nlin.SI)Singular solutionVariational solitary wavesSettore MAT/07 - Fisica MatematicaMathematical PhysicsConvergent seriesAnsatzMathematicsCommunications in Nonlinear Science and Numerical Simulation
researchProduct

Block Bootstrap Methods and the Choice of Stocks for the Long Run

2011

Financial advisors commonly recommend that the investment horizon should be rather long in order to benefit from the "time diversification". In this case, in order to choose the optimal portfolio, it is necessary to estimate the risk and reward of several alternative portfolios over a long-run given a sample of observations over a short-run. Two interrelated obstacles in these estimations are lack of sufficient data and the uncertainty in the nature of the return generating process. To overcome these obstacles researchers rely heavily on block bootstrap methods. In this paper we demonstrate that the estimates provided by a block bootstrap method are generally biased and we propose two metho…

Estimation theoryStatisticsDiversification (finance)EconometricsEconomicsPortfolioTime seriesSerial dependenceBias reductionSSRN Electronic Journal
researchProduct

Metabolism and fate of triazophos in rats

1976

The excretion patterns and tissue residues were determined after single and repeated oral dosing of rats with triazophos-14C Within 4 days after a single oral dose 76.3 % of the 14C was excreted in the urine and 21.0% in the faeces. After daily application for 12 days 69.5–83.4% of the label was eliminated in urine and 30.9–18.1 % in the faeces. Following prolonged application, however, elimination is distinctly slower. Distribution of radioactive residues in organs and tissue in both test series showed no appreciable or critical concentrations of radioactivity, with the exception of the gastrointestinal tract (contents and walls). Unchanged triazophos and l-phenyl-1,2,4-triazol-3-ol-3-14C …

ExcretionSingle oral doseGastrointestinal tractchemistry.chemical_compoundTest seriesChromatographychemistryMetabolismUrineGlucuronic acidApplied Microbiology and BiotechnologyFecesPesticide Science
researchProduct

Bayesian forecasting of demand time-series data with zero values

2013

This paper describes the development of a Bayesian procedure to analyse and forecast positive demand time-series data with a proportion of zero values and a high level of variability for the non-zero data. The resulting forecasts play decisive roles in organisational planning, budgeting, and performance monitoring. Exponential smoothing methods are widely used as forecasting techniques in industry and business. However, they can be unsuitable for the analysis of non-negative demand time-series data with the aforementioned features. In this paper, an unconstrained latent demand underlying the observed demand is introduced into the linear heteroscedastic model associated with the Holt-Winters…

Exponential smoothingBayesian probabilityEconometricsEconomicsPerformance monitoringHeteroscedastic modelDemand forecastingSupply chain planningTime seriesIndustrial and Manufacturing EngineeringZero (linguistics)European J. of Industrial Engineering
researchProduct

David Malcolm Raup (1933-2015) at the starting point of a new paradigm for Palaeontology

2020

This is a tribute to the late David Malcolm Raup, one of the major palaeontologists of the second half of the 20 th century. In addition, it is a critical review of his outstanding contributions, mainly in the field of theoretical palaeontology: quantitative modelling, the introduction of probabilistic methods in palaeontology, as well as his great imagination to use techniques from other fields, such as insurance actuary. After a general outline of his youth, I present a general depiction of the main topics of his research as a palaeobiologist: morphology, the structure of the fossil record, evolution, and extinction. He covered areas ranging from the theoretical morphology of coiled shell…

Extinction eventPaleontologyHistoryExtinctionFossil RecordPoint (typography)fossil record evolution extinction time series simulationTributeDepictionPaleontologyMorphology (biology)QE701-760Theoretical morphologySpanish Journal of Palaeontology
researchProduct

On the interpretability and computational reliability of frequency-domain Granger causality

2017

This Correspondence article is a comment which directly relates to the paper “A study of problems encountered in Granger causality analysis from a neuroscience perspective” (Stokes and Purdon, 2017). We agree that interpretation issues of Granger causality (GC) in neuroscience exist, partially due to the historically unfortunate use of the name “causality”, as described in previous literature. On the other hand, we think that Stokes and Purdon use a formulation of GC which is outdated (albeit still used) and do not fully account for the potential of the different frequency-domain versions of GC; in doing so, their paper dismisses GC measures based on a suboptimal use of them. Furthermore, s…

FOS: Computer and information sciences0301 basic medicineTheoretical computer scienceImmunology and Microbiology (all)Computer scienceTime series analysiMathematics - Statistics TheoryStatistics Theory (math.ST)Statistics - ApplicationsGeneral Biochemistry Genetics and Molecular BiologyMethodology (stat.ME)Causality (physics)03 medical and health sciences0302 clinical medicinegranger causalityGranger causalityCorrespondenceFOS: MathematicsApplications (stat.AP)Physiological oscillationGeneral Pharmacology Toxicology and PharmaceuticsTime seriessignal processingStatistical Methodologies & Health Informaticsfrequency-domain connectivityReliability (statistics)Statistics - MethodologyInterpretabilityGranger-Geweke causalityBiochemistry Genetics and Molecular Biology (all)Interpretation (logic)General Immunology and Microbiologybrain connectivityGeneral MedicineArticlesvector autoregressive models030104 developmental biologyMathematics and StatisticsWildcardVector autoregressive modelPharmacology Toxicology and Pharmaceutics (all)Frequency domaintime series analysisspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaBrain connectivity; Directed coherence; Frequency-domain connectivity; Granger-Geweke causality; Physiological oscillations; Spectral decomposition; Time series analysis; Vector autoregressive models; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Pharmacology Toxicology and Pharmaceutics (all)directed coherence030217 neurology & neurosurgeryphysiological oscillations
researchProduct