Search results for "Estimation"

showing 10 items of 924 documents

Overview of Other Results and Open Problems

2014

This chapter presents an overview of results related to error control methods, which were not considered in previous chapters. In the first part, we discuss possible extensions of the theory exposed in Chaps. 3 and 4 to nonconforming approximations and certain classes of nonlinear problems. Also, we shortly discuss some results related to explicit evaluation of modeling errors. The remaining part of the chapter is devoted to a posteriori estimates of errors in iteration methods. Certainly, the overview is not complete. A posteriori error estimation methods are far from having been fully explored and this subject contains many unsolved problems and open questions, some of which we formulate …

Nonlinear systemComputer scienceIterative methodSection (archaeology)Variational inequalityCalculusA priori and a posterioriSubject (documents)Estimation methodsError detection and correction
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Linear parameter estimation and predictive constrained control of wiener/hammerstein systems

2003

Abstract A new, analytical, orthonormal basis functions (OBF)-based design methodology for adaptive predictive constrained control of open-loop stable, possibly nonminimum phase, time-varying Wiener and Hammerstein systems is presented. A linear adaptive least-squares parameter estimation algorithm is applied both to a nonlinear static part and a linear dynamic, OBF-modeled factor of the Wiener/Hammerstein system. A notion of inverse systems is crucial for linear estimation of both Wiener and Hammerstein systems, with in verses of the nonlinear or linear parts respectively involved. The adaptive estimator is coupled with a simple but robust, predictive control strategy called Extended Horiz…

Nonlinear systemModel predictive controlAdaptive controlEstimation theoryControl theoryAdaptive systemAdaptive estimatorInverseNonlinear controlMathematicsIFAC Proceedings Volumes
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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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The Hu-Washizu variational principle for the identification of imperfections in beams

2008

This paper presents a procedure for the identification of imperfections of structural parameters based on displacement measurements by static tests. The proposed procedure is based on the well-known Hu–Washizu variational principle, suitably modified to account for the response measurements, which is able to provide closed-form solutions to some inverse problems for the identification of structural parameter imperfections in beams. Copyright © 2008 John Wiley & Sons, Ltd.

Numerical AnalysisMathematical optimizationEstimation theoryApplied MathematicsGeneral EngineeringSystem identificationInverse problemDisplacement (vector)static testsconcentrated damageIdentification (information)Exact solutions in general relativityVariational principleApplied mathematicsimperfectionsCalculus of variationsSettore ICAR/08 - Scienza Delle CostruzioniHu-Washizu variational principlestructural parameter identificationMathematicsInternational Journal for Numerical Methods in Engineering
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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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Effects of Interrater Reliability of Psychopathologic Assessment on Power and Sample Size Calculations in Clinical Trials

2002

Although rater training is increasingly used to improve the quality of the investigated outcome parameters, the reliability of assessments is not perfect. Thus, empirical reliability estimates should be used instead of theoretically assumed perfect reliability. Implications of the reliability of psychiatric assessments for sample size and power calculations in clinical trials are presented. The theoretical basis of sample size and power calculations using empirical reliability scores is delineated. Examples from contemporary research on schizophrenia and depression are used to illustrate several implications for study design and interpretation of results. The tremendous impact of the lack o…

Observer VariationEstimationClinical Trials as TopicPsychopathologybusiness.industrymedia_common.quotation_subjectClinical trialPsychiatry and Mental healthPower analysisInter-rater reliabilitySample size determinationSample SizeStatisticsHumansPharmacology (medical)Quality (business)PsychologybusinessQuality assuranceReliability (statistics)media_commonJournal of Clinical Psychopharmacology
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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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