Search results for " function"

showing 10 items of 9395 documents

Topological Dual Systems for Spaces of Vector Measure p-Integrable Functions

2016

[EN] We show a Dvoretzky-Rogers type theorem for the adapted version of the q-summing operators to the topology of the convergence of the vector valued integrals on Banach function spaces. In the pursuit of this objective we prove that the mere summability of the identity map does not guarantee that the space has to be finite dimensional, contrary to the classical case. Some local compactness assumptions on the unit balls are required. Our results open the door to new convergence theorems and tools regarding summability of series of integrable functions and approximation in function spaces, since we may find infinite dimensional spaces in which convergence of the integrals, our vector value…

Article Subject0211 other engineering and technologies02 engineering and technologyTopologyComputer Science::Digital Libraries01 natural sciencesTopological vector spaceVector measureLocally convex topological vector spaceUnconditional convergenceIntegrable function0101 mathematicsLp spaceCompact convergenceMathematicsPointwise convergence021103 operations researchWeak convergenceTopological duallcsh:Mathematics010102 general mathematicslcsh:QA1-939AlgebraComputer Science::Mathematical SoftwareMATEMATICA APLICADAModes of convergenceAnalysis
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International Education Studies: Increasing Their Linguistic Comparability by Developing Judgmental Reviews

2012

In international education studies, the different-language test versions need to be equally difficult to read and answer for the test to be valid. To ensure comparability, several quality control procedures have been developed. Among these, surprisingly little attention has been paid to judgmental reviews and their ability to identify language-related sources of bias. Also, the reviews have often failed in identifying biases. This paper explored whether it is possible to improve the ability of judgmental reviews to identify language-related sources of bias. A new review was made of two Finnish items which in the PISA (Programme for International Student Assessment) 2000 reading test showed …

Article Subject4. Educationmedia_common.quotation_subject05 social sciencesComparability050401 social sciences methods050301 educationQuality controlCognitionDifferential item functioningLinguisticsTest (assessment)Peer reviewInternational education0504 sociologyReading (process)Psychology0503 educationta515media_commonISRN Education
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Direct adaptive tracking control for a class of pure-feedback stochastic nonlinear systems based on fuzzy-approximation

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/462468 Open Access The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems. During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. It is shown that the proposed controller guarantees that all the signals in the closed-loop system are bounded in probability and the tracking error eventually converges to a small neighborhood around …

Article SubjectApplied Mathematicslcsh:MathematicsStructure (category theory)Analysis; Applied Mathematicslcsh:QA1-939Fuzzy logicVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Tracking errorNonlinear systemControl theoryQuartic functionBacksteppingBounded functionAnalysisMathematics
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Macroscopic expressions of molecular adiabatic compressibility of methyl and ethyl caprate under high pressure and high temperature

2014

The molecular compressibility, which is a macroscopic quantity to reveal the microcompressibility by additivity of molecular constitutions, is considered as a fixed value for specific organic liquids. In this study, we introduced two calculated expressions of molecular adiabatic compressibility to demonstrate its pressure and temperature dependency. The first one was developed from Wada’s constant expression based on experimental data of density and sound velocity. Secondly, by introducing the 2D fitting expressions and their partial derivative of pressure and temperature, molecular compressibility dependency was analyzed further, and a 3D fitting expression was obtained from the calculated…

Article SubjectApplied Mathematicslcsh:MathematicsThermodynamicsFunction (mathematics)Analysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Physics: 430::Atomic physics molecular physics: 433Consistency (statistics)Additive functionRange (statistics)CompressibilityPartial derivativeCompressibility factorConstant (mathematics)AnalysisMathematics
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Robust adaptive neural backstepping control for a class of nonlinear systems with dynamic uncertainties

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/658671 Open Access This paper is concerned with adaptive neural control of nonlinear strict-feedback systems with nonlinear uncertainties, unmodeled dynamics, and dynamic disturbances. To overcome the difficulty from the unmodeled dynamics, a dynamic signal is introduced. Radical basis function (RBF) neural networks are employed to model the packaged unknown nonlinearities, and then an adaptive neural control approach is developed by using backstepping technique. The proposed controller guarantees semiglobal boundedness of all the signals in the…

Article SubjectArtificial neural networklcsh:MathematicsApplied MathematicsSIGNAL (programming language)Basis functionAnalysis; Applied Mathematicslcsh:QA1-939Class (biology)VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Nonlinear systemControl theoryBacksteppingNeural controlAnalysisMathematics
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Statistical modeling, simulation, and experimental verification of wideband indoor mobile radio channel

2018

This paper focuses on the modeling, simulation, and experimental verification of wideband single-input single-output (SISO) mobile fading channels for indoor propagation environments. The indoor reference channel model is derived from a geometrical rectangle scattering model, which consists of an infinite number of scatterers. It is assumed that the scatterers are exponentially distributed over the two-dimensional (2D) horizontal plane of a rectangular room. Analytical expressions are derived for the probability density function (PDF) of the angle of arrival (AOA), the PDF of the propagation path length, the power delay profile (PDP), and the frequency correlation function (FCF). An efficie…

Article SubjectComputer Networks and CommunicationsComputer sciencelcsh:T020206 networking & telecommunications020302 automobile design & engineeringStatistical model02 engineering and technologyCorrelation function (quantum field theory)lcsh:Technologylcsh:Telecommunication0203 mechanical engineeringAngle of arrivallcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringElectronic engineeringFadingElectrical and Electronic EngineeringWidebandPower delay profileInformation SystemsCommunication channelComputer Science::Information Theory
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Volumetric Bias Correction

2007

This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magnetic Resonance Imaging (MRI). This artifact produces illumination variations due to magnetic field fluctuations of the device. In the latest years many works have been devoted to face this problem. In this work we present the 3D version of a new approach to bias correction, which is called Exponential Entropy Driven Homomorphic Unsharp Masking (E2D-HUM). This technique has been already presented by some of the authors for the 2D case only. The description of the whole method is detailed, and some experimental results are reported.

Artifact (error)business.industryComputer scienceEntropy drivenHomomorphic encryptionBias artifact Rf-inhomogeneity MRIExponential functionMagnetic fieldFace (geometry)Bias correctionComputer visionArtificial intelligencebusinessUnsharp masking
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Image quality with multifocal intraocular lenses and the effect of pupil size

2007

Purpose To analyze the image quality with a refractive and 2 hybrid refractive–diffractive multifocal intraocular lenses (IOLs) in vitro to determine the IOL modulation transfer function (MTF) following the EN-ISO international standard for distance and near vision and to study the IOLs' behavior with different pupil sizes. Setting Fundacion Oftalmologica del Mediterraneo, Valencia, Spain. Methods This study evaluated 4 IOLs: the hybrid refractive–diffractive AcrySof ReSTOR SN60D3 (Alcon) and Tecnis ZM900 (AMO), the refractive ReZoom NXG (AMO), and the monofocal AcrySof SN60WF (Alcon). The MTF was calculated from the cross-line spread function recorded with the OPAL Vector System (Image Sci…

Artificial corneaOptics and PhotonicsImage qualitymedicine.medical_treatmentIntraocular lensProsthesis DesignModels BiologicalPupilContrast SensitivityOpticsOptical transfer functionmedicineHumansImaging scienceMathematicsLenses IntraocularFourier Analysisbusiness.industryPupil sizePupilMultifocal intraocular lensSensory SystemsOphthalmologyOptometrySurgerybusinessJournal of Cataract and Refractive Surgery
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Imaging Quality of Bifocal Piggyback Intraocular Lens versus ReSTOR and TECNIS Multifocal Lenses

2009

Purpose The imaging quality provided by a piggyback integrated by a monofocal intraocular lens (IOL) + a bifocal IOL of zero power and +3.75 diopters of addition is compared with the optics quality of a simple multifocal IOL of the same power and addition. Methods The imaging quality was evaluated by determining the modulation transfer function (MTF), using an artificial eye simulating in vivo conditions of the anterior chamber, including an artificial cornea and a wet cell containing physiologic solution where the IOL was positioned. The MTFs of the bifocal piggyback for near and distance vision were measured, with pupil diameters of 3 and 5 mm, and compared with the MTFs of an equivalent …

Artificial corneaOptics and Photonicsmedicine.medical_specialtybusiness.product_categoryMaterials sciencemedicine.medical_treatmentVisual AcuityIntraocular lensEyeRefraction OcularPupil03 medical and health sciences0302 clinical medicineOptical transfer functionOphthalmologymedicineHumansMultifocal lensesDioptreLenses IntraocularDepth PerceptionStrehl ratioGeneral MedicineModels TheoreticalOphthalmologyImaging quality030221 ophthalmology & optometryArtificial Organsbusiness030217 neurology & neurosurgeryEuropean Journal of Ophthalmology
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Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation

2019

Abstract Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works in three stages. First, the ExtraTrees classifier is used to select relevant features for each type of attack individually for each (ELM). Then, an ensemble of ELMs is used to detect each type of attack separately. Finally, the results of all ELMs are combined using a softmax layer to refine the results and increase the accuracy further. The intuition behind our system is that multi-class classification is quite difficult compared to binary classification. So, we…

Artificial intelligencelcsh:Computer engineering. Computer hardwareExtreme learning machineEnsemble methodsComputer scienceBinary numberlcsh:TK7885-7895Feature selection02 engineering and technologyIntrusion detection systemlcsh:QA75.5-76.95Machine learning0202 electrical engineering electronic engineering information engineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Multi layerExtreme learning machinebusiness.industryIntrusion detection system020206 networking & telecommunicationsPattern recognitionComputer Science ApplicationsBinary classificationFeature selectionSignal ProcessingSoftmax function020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceArtificial intelligencebusinessClassifier (UML)EURASIP Journal on Information Security
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