Search results for " speed"

showing 10 items of 641 documents

Efficient parallel computations of flows of arbitrary fluids for all regimes of Reynolds, Mach and Grashof numbers

2002

This paper presents a unified numerical method able to address a wide class of fluid flow problems of engineering interest. Arbitrary fluids are treated specifying totally arbitrary equations of state, either in analytical form or through look‐up tables. The most general system of the unsteady Navier–Stokes equations is integrated with a coupled implicit preconditioned method. The method can stand infinite CFL number and shows the efficiency of a quasi‐Newton method independent of the multi‐block partitioning on parallel machines. Computed test cases ranging from inviscid hydrodynamics, to natural convection loops of liquid metals, and to supersonic gasdynamics, show a solution efficiency i…

Computations Flow FluidNatural convectionApplied MathematicsMechanical EngineeringNumerical analysisCourant–Friedrichs–Lewy conditionGrashof numberMechanicsComputer Science ApplicationsPhysics::Fluid Dynamicssymbols.namesakeClassical mechanicsMach numberMechanics of MaterialsInviscid flowFluid dynamicssymbolsSupersonic speedSettore ING-IND/19 - Impianti NucleariMathematicsInternational Journal of Numerical Methods for Heat & Fluid Flow
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Does training in syllable recognition improve reading speed? A computer-based trial with poor readers from second and third grade.

2013

Repeated reading of infrequent syllables has been shown to increase reading speed at the word level in a transparent orthography. This study confirms these results with a computer-based training method and extends them by comparing the training effects of short syllables and long frequent and infrequent syllables, controlling for rapid automatized naming. Our results, based on a sample of 150 poor readers of Finnish, showed clear gains in reading speed regarding all trained syllables, but a transfer effect to the word level was evident only in the case of long infrequent syllables. Rapid automatized naming was associated with initial reading speed, but not with the training effect. peerRevi…

Computer scienceSpeech recognitionmedia_common.quotation_subjectEducationrapid automatized namingcomputerized trainingreading speedReading (process)nopea nimeäminenFinno-Ugric languageslukemisvaikeusta516syllablesRapid automatized namingta515interventiomedia_commontavutreading disabilityTraining (meteorology)Training effectreading fluencyTransfer of trainingPsychology (miscellaneous)lukemisen sujuvuusSyllableOrthography
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A General and Accurate Measurement Procedure for the Detection of Power Losses Variations in Permanent Magnet Synchronous Motor Drives

2020

The research of innovative solutions to improve the efficiency of electric drives is of considerable interest to challenges related to energy savings and sustainable development. In order to successfully validate the adoption of new and innovative software or hardware solutions in the field of electric drives, accurate measurement procedures for either efficiency or power losses are needed. Moreover, high accuracy and expensive measurement equipment are required to satisfy international standard prescriptions. In this scenario, this paper describes an accurate measurement procedure, which is independent of the accuracy of the adopted instrumentation, for the power losses variations involved…

Control and OptimizationVector controlefficiency measurementRenewable Energy Sustainability and the EnvironmentComputer sciencelcsh:TEnergy Engineering and Power TechnologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilcsh:TechnologyAutomotive engineeringField (computer science)Power (physics)IPMSMspeed control drive systemspower loss minimization; speed control drive systems; efficiency measurement; IPMSMInstrumentation (computer programming)Electrical and Electronic EngineeringReduction (mathematics)power loss minimizationEngineering (miscellaneous)Energy (signal processing)Energy (miscellaneous)Energies; Volume 13; Issue 21; Pages: 5770
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Analysis a DSP Implementation and Experimental Validation of a Loss Minimization Algorithm Applied to Permanent Magnet Synchronous Motor Drives

2004

In this paper a new loss minimization control algorithm for inverter-fed permanent-magnet synchronous motors (PMSM), which allows to reduce the power losses of the electric drive without penalty on its dynamic performances, is analyzed, experimentally realized and validated. In particular, after a brief recall of two loss minimization control strategies (the "search control" and the "loss-model control"), both a modified dynamic model of the PMSM, which takes into account the iron losses, and a "loss-model" control strategy, are treated. Experimental tests on a specific PMSM drive employing the proposed loss minimization algorithm were performed aiming to validate the actual implementation.…

Control systemsPermanent magnet synchronous motorComputer sciencebusiness.industryExperimental validationSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciControl theoryEfficiency improvementMotor drivesLoss minimizationVariable speed drivesbusinessSynchronous motorAlgorithmDigital signal processingPermanent magnet synchronous motor
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Dust mobilization due to density currents in the Atlas region: Observations from the Saharan Mineral Dust Experiment 2006 field campaign

2007

[1] Evaporation of precipitation is a ubiquitous feature of dry and hot desert environments. The resulting cooling often generates density currents with strong turbulent winds along their leading edges, which can mobilize large amounts of dust. Mountains support this process by triggering convection, by downslope acceleration of the cool air, and by fostering the accumulation of fine-grained sediments along their foothills through the action of water. For the Sahara, the world's largest dust source, this mechanism has been little studied because of the lack of sufficiently high resolution observational data. The present study demonstrates the frequent occurrence of density currents along th…

ConvectionAtmospheric ScienceMeteorologySoil ScienceAquatic ScienceMineral dustOceanographyAtmospheric sciencesWind speedHaboobGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)FoothillsEarth-Surface ProcessesWater Science and Technologygeographygeography.geographical_feature_categoryEcologyPaleontologyForestryWind directionGeophysicsDew pointMountain chainSpace and Planetary ScienceEnvironmental scienceJournal of Geophysical Research
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A simple model to estimate the daily value of the regional maximum evapotranspiration from satellite temperature and albedo images

1987

Abstract We have tried an adaptation of the radiation model proposed by FAO, applicable in any area, for the estimation of the regional maximum evapotranspiration, ET, from temperature and albedo images obtained from a satellite. This model is based on the relationships ETm = k cETo ETo = A + BR g + CR g Ta max where k c is the crop coefficient, ETo is the maximum evapotranspiration of the reference crop (green grass), Rg is the global radiation obtained from satellite albedo images, T a max is the maximum temperature of the air obtained from the near-midday satellite temperature and A, B and C are the empirical coefficients characteristic of each zone calculated for different intervals of …

Crop coefficientMeteorologyEvapotranspirationBrightness temperatureGeneral Earth and Planetary SciencesEnvironmental scienceValue (computer science)Relative humiditySatelliteAlbedoWind speedInternational Journal of Remote Sensing
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Measurement of the Atmospheric ve flux in IceCube

2012

We report the first measurement of the atmospheric electron neutrino flux in the energy range between approximately 80 GeV and 6 TeV, using data recorded during the first year of operation of IceCube's DeepCore low energy extension. Techniques to identify neutrinos interacting within the DeepCore volume and veto muons originating outside the detector are demonstrated. A sample of 1029 events is observed in 281 days of data, of which 496 $\pm$ 66(stat.) $\pm$ 88(syst.) are estimated to be cascade events, including both electron neutrino and neutral current events. The rest of the sample includes residual backgrounds due to atmospheric muons and charged current interactions of atmospheric muo…

DEEPCOREParticle physicsAMANDAPhysics::Instrumentation and DetectorsSolar neutrinoAstrophysics::High Energy Astrophysical PhenomenaGeneral Physics and Astronomyddc:500.201 natural sciences7. Clean energyHigh Energy Physics - ExperimentNuclear physicsSEARCH0103 physical sciencesddc:550010306 general physicsNeutrino oscillationDETECTORPhysics010308 nuclear & particles physicsHigh Energy Physics::PhenomenologySolar neutrino problemCosmic neutrino backgroundNeutrino detectorPhysics and Astronomy13. Climate actionMeasurements of neutrino speedHigh Energy Physics::ExperimentNeutrino astronomyNeutrinoNEUTRINO-INDUCED CASCADESAstrophysics - High Energy Astrophysical PhenomenaPhysical Review Letters
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Environmental Data Processing by Clustering Methods for Energy Forecast and Planning

2011

This paper presents a statistical approach based on the k-means clustering technique to manage environmental sampled data to evaluate and to forecast of the energy deliverable by different renewable sources in a given site. In particular, wind speed and solar irradiance sampled data are studied in association to the energy capability of a wind generator and a photovoltaic (PV) plant, respectively. The proposed method allows the sub-sets of useful data, describing the energy capability of a site, to be extracted from a set of experimental observations belonging the considered site. The data collection is performed in Sicily, in the south of Italy, as case study. As far as the wind generation…

Data processingWind powerRenewable Energy Sustainability and the Environmentbusiness.industryComputer sciencePhotovoltaic systemcomputer.software_genreWind speedRenewable energyWind energy; Photovoltaic energy; Distributed generation; Statistical methods; Data processing; ClusteringDistributed generationData miningCluster analysisbusinessTelecommunicationscomputerEnergy (signal processing)
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A Novel Self-organizing Neural Technique for Wind Speed Mapping

2009

Systems with high nonlinearities are, in general, very difficult to model. This is particularly true in geostatistics, where the problem of the estimation of a regionalized variable (RV) given only a small amount of measurement stations and a complex terrain surface is very challenging. This paper introduces a novel strategy, which couples the Curvilinear Component Analysis (CCA) and the Generalized Mapping Regressor (GMR). CCA, which is a nonlinear projector of a data manifold, is here used in order to find the intrinsic dimension of the data manifold, just giving an insight on the nonlinearities of the problem. This analysis drives the pre-processing of the data set used for the training …

Data setNonlinear systemDiscontinuity (linguistics)Artificial neural networkComputer scienceInverse distance weightingTerrainIntrinsic dimensionAlgorithmWind speed
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The HisClima database: historical weather logs for automatic transcription and information extraction

2021

Knowing the weather and atmospheric conditions from the past can help weather researchers to generate models like the ones used to predict how weather conditions are likely to change as global temperatures continue to rise. Many historical weather records are available from the past registered on a systemic basis. Historical weather logs were registered in ships, when they were on the high seas, recording daily weather conditions such as: wind speed, temperature, coordinates, etc. These historical documents represent an important source of knowledge with valuable information to extract climatic information of several centuries ago. This paper presents a database for researching about the ca…

DatabaseComputer science05 social sciences050301 education02 engineering and technologyText recognitionAtmospheric modelcomputer.software_genreWind speedInformation extraction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingTranscription (software)Baseline (configuration management)0503 educationRelevant informationcomputer2020 25th International Conference on Pattern Recognition (ICPR)
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