Search results for "control systems"

showing 10 items of 590 documents

Improvement of the low energy neutrino factory

2010

The low energy neutrino factory has been proposed as a very sensitive setup for future searches for CP violation and matter effects. Here we study how its performance is affected when the experimental specifications of the setup are varied. Most notably, we have considered the addition of the "platinum'' nu(mu) -> nu(e) channel. We find that, while theoretically the extra channel provides very useful complementary information and helps to lift degeneracies, its practical usefulness is lost when considering realistic background levels. Conversely, an increase in statistics in the "golden'' nu(mu) -> nu(e) channel and, to some extent, an improvement in the energy resolution, lead to an import…

PhysicsAstrofísicaNuclear and High Energy PhysicsParticle physicsMuon010308 nuclear & particles physicsPhysics::Instrumentation and Detectors7. Clean energy01 natural sciencesNuclear physicsLift (mathematics)0103 physical sciencesCP violationNeutrino FactoryHigh Energy Physics::ExperimentSensitivity (control systems)Neutrino010306 general physicsNeutrino oscillationEnergy (signal processing)
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Spatial Search by Continuous-Time Quantum Walk with Multiple Marked Vertices

2015

In the typical spatial search problems solved by continuous-time quantum walk, changing the location of the marked vertices does not alter the search problem. In this paper, we consider search when this is no longer true. In particular, we analytically solve search on the "simplex of $K_M$ complete graphs" with all configurations of two marked vertices, two configurations of $M+1$ marked vertices, and two configurations of $2(M+1)$ marked vertices, showing that the location of the marked vertices can dramatically influence the required jumping rate of the quantum walk, such that using the wrong configuration's value can cause the search to fail. This sensitivity to the jumping rate is an is…

Quantum PhysicsSimplexSpatial searchFOS: Physical sciencesStatistical and Nonlinear Physicsmedicine.disease_cause01 natural sciences010305 fluids & plasmasTheoretical Computer ScienceElectronic Optical and Magnetic MaterialsCombinatoricsJumpingModeling and Simulation0103 physical sciencesSignal ProcessingmedicineSearch problemQuantum walkContinuous-time quantum walkSensitivity (control systems)Electrical and Electronic Engineering010306 general physicsQuantum Physics (quant-ph)Mathematics
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Tidal gravity observations at Mt. Etna and Stromboli: Results concerning the modeled and observed tidal factors

2009

Continuous gravity observations performed in the last few years, both at Mt. Etna and Stromboli, have prompted the need to improve the tidal analysis in order to acquire the best corrected data for the detection of volcano related signals. On Mt. Etna, the sites are very close to each other and the expected tidal factor differences are negligible. It is thus useful to unify the tidal analysis results of the different data sets in a unique tidal model. This tidal model, which can be independently confirmed by a modeling of the tidal parameters based on the elastic response of the Earth to tidal forces and the computation of the ocean tides effects on gravity, is very useful for the precise t…

Gravity (chemistry)geographygeography.geographical_feature_categorylcsh:QC801-809Astrophysics::Cosmology and Extragalactic AstrophysicsGeophysicslcsh:QC851-999GeodesyPhysics::GeophysicsTidal gravity modelslcsh:Geophysics. Cosmic physicsGeophysicsTidal ModelVolcanoTidal loadingTidal forceOcean tidelcsh:Meteorology. ClimatologyAstrophysics::Earth and Planetary AstrophysicsSensitivity (control systems)Tidal gravity models - Mt.Etna - La Coste and Romberg gravimeters - tidal loadingAstrophysics::Galaxy AstrophysicsGeology
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Damage identification of a jacket support structure for offshore wind turbines

2020

Offshore jacket structures are regarded as a suitable type of support structure for offshore wind turbines in immediate water depths. Because of the welded tubular members used and environmental conditions, offshore jackets are often subjected to fatigue damages during their service life. Underwater sensors can provide measurements of the structural vibration signals and provide an efficient way to detect damages at early stages. In this work, simplified forms of the damages are assumed, random damages are imposed on the jacket structure, and damaged indicators are established from combination of modal shapes. Then, a response surface is constructed mapping the damage indicators and damages…

0211 other engineering and technologiesComputingMilieux_LEGALASPECTSOFCOMPUTING020101 civil engineering02 engineering and technology0201 civil engineeringVDP::Teknologi: 500Identification (information)Offshore wind powerStructural vibrationService lifeDamagesEnvironmental scienceSubmarine pipeline021108 energySensitivity (control systems)UnderwaterMarine engineering
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Position resolution of the prototype AGATA triple-cluster detector from an in-beam experiment

2009

AGATA belongs to a new generation of gamma-ray detector arrays for nuclear spectroscopy at present in its final stage of development. The detectors of these new arrays will be based on 36-fold electronically segmented coaxial germanium diodes operated in position sensitive mode. An in-beam test of the AGATA prototype triple cluster detector was carried out with the purpose of demonstrating the feasibility of such detectors and in order to measure the most sensitive parameters for their overall performance. An inverse kinematics reaction was performed, using a (48)Ti beam at an energy of 100MeV, impinging on a deuterated titanium tat-get. The results from the analysis of the experimental dat…

PhysicsNuclear and High Energy Physics010308 nuclear & particles physicsbusiness.industryPhysics::Instrumentation and DetectorsMonte Carlo methodDetectorγ-ray instrumentsgamma-ray instruments[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]7. Clean energy01 natural sciencesOpticsPosition (vector)0103 physical sciencesAGATASensitivity (control systems)Coaxial010306 general physicsbusinessInstrumentationBeam (structure)Position-sensitive germanium detectorsDiode
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A more sensitive search for νμ→ντ oscillations in NOMAD

1999

With additional data and improved algorithms, we have enhanced the sensitivity of our appearance search for $\numunutau$ oscillations in the NOMAD detector in the CERN-SPS wide-band neutrino beam. The search uses kinematic criteria to identify $\nutau$ charged current interactions followed by decay of the $\tau^-$ to one of several decay modes. Our ``blind'' analyses of deep-inelastic scattering data taken in 1996 and 1997, combined with consistent reanalyses of previously reported 1995 data, yield no oscillation signal. For the two-family oscillation scenario, we present the contour outlining a 90\% C.L. confidence region in the $\sin^22\theta_{\mu \tau} - \Delta m^2$ plane. At large $\Del…

Nuclear physicsPhysicsNuclear and High Energy PhysicsParticle physicsOscillationScatteringHigh Energy Physics::ExperimentSensitivity (control systems)NeutrinoNeutrino beamNeutrino oscillationCharged currentConfidence regionPhysics Letters B
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Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction

2015

Gaussian Process Regression (GPR) for machine learning has lately been successfully introduced for chlorophyll content mapping from remotely sensed data. The method provides a fast, stable and accurate prediction of biophysical parameters. However, since GPR is a non-linear kernel regression method, the relevance of the features are not accessible. In this paper, we introduce a probabilistic approach for feature sensitivity analysis (SA) of the GPR in order to reveal the relative importance of the features (bands) being used in the regression process. We evaluated the SA on GPR ocean chlorophyll content prediction. The method revealed the importance of the spectral bands, thus allowing the …

symbols.namesakeKrigingGround-penetrating radarsymbolsProbabilistic logicFeature (machine learning)Kernel regressionSpectral bandsSensitivity (control systems)Biological systemGaussian processRemote sensingMathematics2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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A Portable Dynamic Laser Speckle System for Sensing Long-Term Changes Caused by Treatments in Painting Conservation

2018

[EN] Dynamic laser speckle (DLS) is used as a reliable sensor of activity for all types of materials. Traditional applications are based on high-rate captures (usually greater than 10 frames-per-second, fps). Even for drying processes in conservation treatments, where there is a high level of activity in the first moments after the application and slower activity after some minutes or hours, the process is based on the acquisition of images at a time rate that is the same in moments of high and low activity. In this work, we present an alternative approach to track the drying process of protective layers and other painting conservation processes that take a long time to reduce their levels …

CyclododecaneComputer sciencedynamic speckleVarnishVarnishInpaintingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologyCyclododecane01 natural sciencesBiochemistrycyclododecaneArticleAnalytical Chemistrylaw.invention010309 opticschemistry.chemical_compoundSpeckle patternDynamic specklelaw0103 physical scienceslcsh:TP1-1185Sensitivity (control systems)Electrical and Electronic EngineeringInstrumentationSimulationDynamic speckleTemporal history speckle patternactivityProcess (computing)021001 nanoscience & nanotechnologyLaserAtomic and Molecular Physics and OpticsActivityARQUITECTURA Y TECNOLOGIA DE COMPUTADORESchemistryvisual_artPINTURAFISICA APLICADAvisual_art.visual_art_mediumdynamic speckle; activity; temporal history speckle pattern; varnish; cyclododecane0210 nano-technologytemporal history speckle patternvarnish
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Search forWWandWZResonances Decaying to Electron, MissingET, and Two Jets inpp¯Collisions ats=1.96  TeV.

2009

We present a search for WW and WZ production in final states that contain a charged lepton (electron or muon) and at least two jets, produced in {radical}(s)=1.96 TeV pp collisions at the Fermilab Tevatron, using data corresponding to 1.2 fb{sup -1} of integrated luminosity collected with the CDF II detector. Diboson production in this decay channel has yet to be observed at hadron colliders due to the large single W plus jets background. An artificial neural network has been developed to increase signal sensitivity, as compared with an event selection based on conventional cuts. We set a 95% confidence level upper limit of {sigma}{sub WW}xBR(W{yields}l{nu}{sub l},W{yields}jets)+{sigma}{sub…

PhysicsNuclear and High Energy PhysicsParticle physicsGauge bosonMuon010308 nuclear & particles physicsHadronHigh Energy Physics::PhenomenologyTevatronGeneral Physics and AstronomyElementary particleCoupling (probability)01 natural sciencesStandard ModelNuclear physicsMassless particleParticle decay0103 physical sciencesProduction (computer science)High Energy Physics::ExperimentSensitivity (control systems)010306 general physicsLeptonBosonPhysical Review Letters
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Motor-skill learning in an insect inspired neuro-computational control system

2017

In nature, insects show impressive adaptation and learning capabilities. The proposed computational model takes inspiration from specific structures of the insect brain: after proposing key hypotheses on the direct involvement of the mushroom bodies (MBs) and on their neural organization, we developed a new architecture for motor learning to be applied in insect-like walking robots. The proposed model is a nonlinear control system based on spiking neurons. MBs are modeled as a nonlinear recurrent spiking neural network (SNN) with novel characteristics, able to memorize time evolutions of key parameters of the neural motor controller, so that existing motor primitives can be improved. The ad…

0301 basic medicineComputer scienceBiomedical Engineeringinsect brainNonlinear controlAdaptation and learning03 medical and health sciences0302 clinical medicineMotor controllerArtificial Intelligenceinsect mushroom bodiesHypothesis and TheoryMotor skillSpiking neural networkHexapodgoal-oriented behaviorControl systemslearningbusiness.industryControl systems; Neural networks; Adaptation and learning030104 developmental biologyControl systemRobotArtificial intelligencespiking neural controllersMotor learningbusiness030217 neurology & neurosurgeryNeural networksNeuroscience
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