Search results for " Estimation"

showing 10 items of 562 documents

Predictive Intelligent Fuzzy Control for Cooperative Motion of Two Nonholonomic Wheeled Cars

2007

In this paper a problem of intelligent cooperative motion control of two wheeled nonholonomic cars (target and follower) is considered. Once a target car converges to a fixed state (position and orientation), a follower car coming from different position and orientation, converges to the state above, without excessive delay between the known arrival time of the target car and the arrival time of the follower. In this sense we present a new predictive fuzzy control system. A Kalman's filter and an odometric model are used to predict the future position and orientation of the target car. The prediction above is employed to plane a circular nonholonomic reference motion for the follower car. A…

Nonholonomic systemEngineeringbusiness.industryControl engineeringFuzzy control systemKalman filterMotion controlFuzzy logicModel predictive controlSettore ING-INF/04 - AutomaticaControl theoryPosition (vector)Intelligent control Fuzzy control Motion control Kinematics Velocity control Intelligent transportation systems Delay effects Vehicle dynamics State estimation Error correctionbusinessIntelligent control2007 IEEE Intelligent Transportation Systems Conference
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0.1-10 MeV Neutron Soft Error Rate in Accelerator and Atmospheric Environments

2021

Neutrons with energies between 0.1-10 MeV can significantly impact the Soft Error Rate (SER) in SRAMs manufactured in scaled technologies, with respect to high-energy neutrons. Their contribution is evaluated in accelerator, ground level and avionic (12 km of altitude) environments. Experimental cross sections were measured with monoenergetic neutrons from 144 keV to 17 MeV, and results benchmarked with Monte Carlo simulations. It was found that even 144 keV neutrons can induce upsets due to elastic scattering. Moreover, neutrons in the 0.1-10 MeV energy range can induce more than 60% of the overall upset rate in accelerator applications, while their contribution can exceed 18% in avionics.…

Nuclear and High Energy PhysicsprotonitMesonAstrophysics::High Energy Astrophysical Phenomenaparticle beamsMonte Carlo methodNuclear TheorykäyttömuistitCOTS SRAMAcceleratoraerospace electronicsSEU cross sections7. Clean energy01 natural sciencesUpsetelektroniikkakomponentitNuclear physicsavionicslife estimation0103 physical sciencesNeutronground-levelElectrical and Electronic EngineeringNuclear ExperimentRadiation hardeningmesonsavaruustekniikkaElastic scatteringPhysicsRange (particle radiation)protons010308 nuclear & particles physicsneutronsneutronitlow-energy neutronssensitivityAccelerators and Storage RingsMonte Carlo -menetelmätSoft errorNuclear Energy and Engineeringintermediate-energy neutronssäteilyfysiikka13. Climate action
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MUSIC-based modal channel estimation for wideband OFDM-OQAM

2008

Orthogonal frequency division multiplexing based on offset quadrature amplitude modulation (OFDM-OQAM) over wideband frequency selective multipath channels suffers from inter-symbol interference (ISI) and inter-carrier interference (ICI) that degrade its performance. Channel estimation and equalization are needed to combat these interferences. In this paper a novel channel estimator for passband OFDM-OQAM signaling over wideband multipath channels, which is based on multiple signal classification (MUSIC) with the Spatial Smoothing technique is presented. Numerical simulation results are presented in the low number of subcarriers, i.e. wideband, scenario.

OFDM-OQAMSettore ING-INF/03 - TelecomunicazioniOrthogonal frequency-division multiplexingComputer sciencebusiness.industryChannel estimationMUSICComputer Science::OtherIntersymbol interferenceInterference (communication)Computer Science::Networking and Internet ArchitectureElectronic engineeringWidebandTelecommunicationsbusinessPassbandQuadrature amplitude modulationSmoothingComputer Science::Information TheoryCommunication channel2008 1st IFIP Wireless Days
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Object Recognition and Modeling Using SIFT Features

2013

In this paper we present a technique for object recognition and modelling based on local image features matching. Given a complete set of views of an object the goal of our technique is the recognition of the same object in an image of a cluttered environment containing the object and an estimate of its pose. The method is based on visual modeling of objects from a multi-view representation of the object to recognize. The first step consists of creating object model, selecting a subset of the available views using SIFT descriptors to evaluate image similarity and relevance. The selected views are then assumed as the model of the object and we show that they can effectively be used to visual…

Object RecognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSIFT.business.industryComputer science3D single-object recognitionObject Recognition; Pose Estimation; Object Model; SIFT.ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognition3D pose estimationObject (computer science)Object-oriented designPose EstimationHaar-like featuresObject modelViola–Jones object detection frameworkComputer visionArtificial intelligencebusinessPoseObject Model
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Sustainable Method Using Filtering Techniques for a Fermentation Process State Estimation

2020

Winemaking is concerned about sustainable energy availability that implies new methods for process monitoring and control. The aim of this paper is to realize a comparative analysis of the possibilities offered using estimation techniques, balances, and filtering techniques such as the Kalman filter (KF) and the extended Kalman filter (EKF), to obtain indirect information about the alcoholic fermentation process during winemaking. Thus, an estimation solution of the process variables in the exponential growing phase is proposed, using an extended observer. In addition, two estimation solutions of this process with the EKF and an estimation of the decay phase of the fermentation process are …

Observer (quantum physics)Computer science020209 energyGeography Planning and DevelopmentTJ807-83002 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawTD194-19501 natural sciencesRenewable energy sourcesExtended Kalman filterControl theory0202 electrical engineering electronic engineering information engineeringGE1-350state estimation0105 earth and related environmental sciencesEnvironmental effects of industries and plantsBasis (linear algebra)Renewable Energy Sustainability and the EnvironmentProcess (computing)Kalman filterFilter (signal processing)batch fermentation processExponential functionEnvironmental sciencessustainable control systemNorm (mathematics)Sustainability
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Ontology mapping specification in description logics for cooperative systems

2006

Le developpement rapide du Web semantique est lie a la specification de plus en plus d'ontologies. Celles-ci permettent de modeliser des connaissances agreees par des communautes de personnes concernant des domaines ou des tâches specifiques. Le meme domaine decrit par deux communautes distinctes sera modelise de facon differente. Les systemes cooperatifs visent a rendre les informations provenant de differentes sources disponibles au-dela de leurs divergences. Pour cela, ils doivent aligner, fusionner ou integrer ces ontologies. La decouverte de mappings est un point cle dans la resolution efficace des heterogeneites entre ontologies. Nous developpons une architecture qui connecte des syst…

Ontology (information science)computer.software_genre01 natural sciences030507 speech-language pathology & audiology03 medical and health sciencessemantic webDescription logic[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic integrationontology0101 mathematicsSemantic Websimilarity estimationMathematicsInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry010102 general mathematicsMappingsMappings ontologies web sémantique calcul de similarité estimation; Mappings ontology semantic web similarity estimation.[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Artificial intelligenceWeb service0305 other medical sciencebusinessMerge (version control)computer
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Adaptive design optimization: a mutual information-based approach to model discrimination in cognitive science.

2010

Discriminating among competing statistical models is a pressing issue for many experimentalists in the field of cognitive science. Resolving this issue begins with designing maximally informative experiments. To this end, the problem to be solved in adaptive design optimization is identifying experimental designs under which one can infer the underlying model in the fewest possible steps. When the models under consideration are nonlinear, as is often the case in cognitive science, this problem can be impossible to solve analytically without simplifying assumptions. However, as we show in this letter, a full solution can be found numerically with the help of a Bayesian computational trick d…

Optimal designCognitive scienceModels StatisticalArtificial neural networkbusiness.industryCognitive NeuroscienceDesign of experimentsBayesian probabilityPosterior probabilityStatistical modelBayes TheoremMutual informationDensity estimationCognitionDiscrimination PsychologicalArts and Humanities (miscellaneous)Nonlinear DynamicsResearch DesignHumansComputer SimulationArtificial intelligencebusinessMathematicsNeural computation
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Search for the Rare Leptonic Decay B+→μ+νμ

2004

A search for the rare leptonic decay with data collected at the resonance by the BABAR experiment was carried out. The decay rate was sensitive to the product of the Cabibbo Kobayashi Maskawa matrix element (Vub and the B decay constant fb, which was propotional to the wave function for zero separation between the quarks. The data used in the analysis was collectd with BABAR detector at the PEP-II storage ring and the sample consisted of an integrity luminosity of 81.4 fb-1. The systematic uncertainty in the signal efficiency was evaluated which included the muon candidate selection and the reconstruction efficiency of the companion B.

OptimizationCharged trackIonizationParticle physicsMuonExtrapolationGeneral Physics and AstronomyBaBar experimentCalorimetryResonanceUpper and lower boundsHigh energy physicMathematical modelParameter estimationB mesonLeptonic decayProbabilityPhysicsData reductionBranching fractionHigh Energy Physics::PhenomenologyResonanceKinematicHEPMonte Carlo methodMagnetic fieldBaBarHigh Energy Physics::ExperimentBranching fraction
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Relationship between pulp-tooth volume ratios and chronological age in different anterior teeth on CBCT

2017

Background The CBCT imaging technique exhibits proper accuracy to determine the internal anatomy of teeth. Therefore, this technique can use to estimate age by measuring the amount of decrease in the volume of the pulpal cavity of teeth. The aim of the present study was to evaluate the correlation between chronological age and pulp-to-tooth volume ratios in anterior teeth with the use of the CBCT technique and to determine a regression model to estimate human age. Material and methods In this present descriptive-analytical study, 122 subjects (46 males and 76 females), with an age range of 13-70 years, were evaluated. The MIMICS software program was used to determine the pulp-to-tooth volum…

Oral Medicine and Pathologybusiness.industryResearchForensic dentistryDentistryRegression analysis030206 dentistryChronological age:CIENCIAS MÉDICAS [UNESCO]03 medical and health sciencesstomatognathic diseases0302 clinical medicinemedicine.anatomical_structurestomatognathic systemAge estimationUNESCO::CIENCIAS MÉDICASDentinMedicinePulp (tooth)Maxillary central incisor030216 legal & forensic medicinebusinessGeneral DentistryAnterior teethJournal of Clinical and Experimental Dentistry
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Uncertainty management in the measurements for the electric power quality analysis

2014

The paper deals with the uncertainty estimation in the measurements performed to assess the electric power quality. In a first steps, all the error sources, which give a significant contribution to the combined uncertainty associated to the measurement results, are identified. Successively, in order to analyze how the errors combine and propagate through the measurement chain, four approaches are proposed and validated. These approaches entail a greater and greater uncertainty overestimation, but, at the same time, require less and less time and resources. Therefore, the four methodologies are perfectly adequate for the implementation of the PUMA (Procedure for Uncertainty Management) metho…

PUMA methodProcedure for Uncertainty Management methodEngineeringerror sourcemechanical measurementElectric power qualityMeasurement uncertaintypower supply qualitySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricimeasurement chainiterative methodUncertainty estimationmeasurement uncertainty managementSensitivity analysisPower measurementUncertainty analysiselectric power quality analysibusiness.industryUncertaintyData acquisitionInstrumentgeometrical measurementCurrent measurementiterative techniqueStandardPower quality analysiReliability engineeringmeasurement systemMeasuring instrumentMeasurement uncertaintybusinessSettore ING-INF/07 - Misure Elettriche E Elettroniche2014 IEEE International Energy Conference (ENERGYCON)
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