Search results for "Nonlinear Dynamics"

showing 10 items of 139 documents

Regularization operators for natural images based on nonlinear perception models.

2006

Image restoration requires some a priori knowledge of the solution. Some of the conventional regularization techniques are based on the estimation of the power spectrum density. Simple statistical models for spectral estimation just take into account second-order relations between the pixels of the image. However, natural images exhibit additional features, such as particular relationships between local Fourier or wavelet transform coefficients. Biological visual systems have evolved to capture these relations. We propose the use of this biological behavior to build regularization operators as an alternative to simple statistical models. The results suggest that if the penalty operator take…

Regularization perspectives on support vector machinesInformation Storage and RetrievalImage processingRegularization (mathematics)Pattern Recognition AutomatedOperator (computer programming)Artificial IntelligenceImage Interpretation Computer-AssistedCluster AnalysisComputer SimulationImage restorationMathematicsModels Statisticalbusiness.industryWavelet transformSpectral density estimationStatistical modelPattern recognitionNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedImage EnhancementComputer Graphics and Computer-Aided DesignNonlinear DynamicsArtificial intelligencebusinessSoftwareAlgorithmsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
researchProduct

Field- and irradiation-induced phenomena in memristive nanomaterials

2016

The breakthrough in electronics and information technology is anticipated by the development of emerging memory and logic devices, artificial neural networks and brain-inspired systems on the basis of memristive nano-materials represented, in a particular case, by a simple 'metal-insulator-metal' (MIM) thin-film structure. The present article is focused on the comparative analysis of MIM devices based on oxides with dominating ionic (ZrOx, HfOx) and covalent (SiOx, GeOx) bonding of various composition and geometry deposited by magnetron sputtering. The studied memristive devices demonstrate reproducible change in their resistance (resistive switching - RS) originated from the formation and …

Resistive touchscreenSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciOxideIonic bondingNanotechnology02 engineering and technologyMemristorSputter deposition021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciences010305 fluids & plasmasNanomaterialslaw.inventionIonchemistry.chemical_compoundchemistrylaw0103 physical sciences0210 nano-technologyMemristor resistive switching metal-oxide-metal nanostructure kinetic Monte-Carlo simulation radiation tolerance synaptic behaviour nonlinear dynamics stochastic resonanceElectrical conductor
researchProduct

Spherical nonlinear correlations for global invariant three-dimensional object recognition

2007

We define a nonlinear filtering based on correlations on unit spheres to obtain both rotation- and scale-invariant three-dimensional (3D) object detection. Tridimensionality is expressed in terms of range images. The phase Fourier transform (PhFT) of a range image provides information about the orientations of the 3D object surfaces. When the object is sequentially rotated, the amplitudes of the different PhFTs form a unit radius sphere. On the other hand, a scale change is equivalent to a multiplication of the amplitude of the PhFT by a constant factor. The effect of both rotation and scale changes for 3D objects means a change in the intensity of the unit radius sphere. We define a 3D fil…

RotationMaterials Science (miscellaneous)3D single-object recognitionStatistics as TopicInformation Storage and RetrievalSensitivity and SpecificityFacial recognition systemIndustrial and Manufacturing EngineeringPattern Recognition Automatedsymbols.namesakeImaging Three-DimensionalOpticsArtificial IntelligenceImage Interpretation Computer-AssistedBusiness and International ManagementInvariant (mathematics)Physicsbusiness.industryCognitive neuroscience of visual object recognitionReproducibility of ResultsImage EnhancementObject detectionNonlinear systemFourier transformAmplitudeNonlinear DynamicssymbolsbusinessAlgorithmsApplied Optics
researchProduct

Josephson-junction-based axion detection through resonant activation

2022

We discuss the resonant activation phenomenon on a Josephson junction due to the coupling of the Josephson system with axions. We show how such an effect can be exploited for axion detection. A nonmonotonic behavior, with a minimum, of the mean switching time from the superconducting to the resistive state versus the ratio of the axion energy and the Josephson plasma energy is found. We demonstrate how variations in switching times make it possible to detect the presence of the axion field. An experimental protocol for observing axions through their coupling with a Josephson system is proposed.

Settore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciCondensed Matter - Mesoscale and Nanoscale PhysicsFieldsPhysics::Instrumentation and DetectorsCondensed Matter - SuperconductivityHigh Energy Physics::PhenomenologyFOS: Physical sciencesStatistical PhysicsNonlinear DynamicsAstrophysicsParticlesResonant activationCondensed MatterCondensed Matter; Materials ; Applied Physics; Statistical PhysicsNonlinear Dynamics; Gravitation; Cosmology ; AstrophysicsParticles ; FieldsCosmologySuperconductivity (cond-mat.supr-con)High Energy Physics::TheoryHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)AxionCondensed Matter::SuperconductivityJosephson junctionMesoscale and Nanoscale Physics (cond-mat.mes-hall)Dark matterMaterialsApplied PhysicsGravitation
researchProduct

Adaptive type-2 fuzzy logic control of a bioreactor

2010

Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed and compared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for the growth of Saccharomyces cerevisiae takes place. The bioreactor model is characterized by nonlinearity and parameter uncertainty. The first adaptive fuzzy controller is a type-2 fuzzy-neuro-predictive controller (T2FNPC) that combines the capability of type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a neural network model of the nonlinear system. The second adaptive fuzzy controller is instead a self-tuning type-2 PI cont…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemEngineeringAdaptive controlNeuro-fuzzybusiness.industryApplied MathematicsGeneral Chemical EngineeringNonlinear dynamicBioreactorAdaptive controlPID controllerControl engineeringGeneral ChemistryFuzzy control systemFuzzy logicDefuzzificationIndustrial and Manufacturing EngineeringType-2 fuzzy logic controlControl theoryProcess controlbusinessStabilityProcess control; Adaptive control; Type-2 fuzzy logic control; Stability; Nonlinear dynamics; BioreactorChemical Engineering Science
researchProduct

Bill2d - a software package for classical two-dimensional Hamiltonian systems

2015

Abstract We present Bill2d , a modern and efficient C++ package for classical simulations of two-dimensional Hamiltonian systems. Bill2d can be used for various billiard and diffusion problems with one or more charged particles with interactions, different external potentials, an external magnetic field, periodic and open boundaries, etc. The software package can also calculate many key quantities in complex systems such as Poincare sections, survival probabilities, and diffusion coefficients. While aiming at a large class of applicable systems, the code also strives for ease-of-use, efficiency, and modularity for the implementation of additional features. The package comes along with a use…

Source codeTheoretical computer scienceComputer sciencechaosmedia_common.quotation_subjectclassical mechanicsFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmasHamiltonian systemComputational sciencenumerical simulationsnonlinear dynamicsREADME0103 physical sciences010306 general physicsmedia_commonta114Application programming interfacebusiness.industrydiffusionByteComputational Physics (physics.comp-ph)Modular designmolecular dynamicsIdentifierHardware and ArchitecturetransportbilliardsbusinessPhysics - Computational PhysicsTest data
researchProduct

Modeling the coupled return-spread high frequency dynamics of large tick assets

2015

Large tick assets, i.e. assets where one tick movement is a significant fraction of the price and bid-ask spread is almost always equal to one tick, display a dynamics in which price changes and spread are strongly coupled. We introduce a Markov-switching modeling approach for price change, where the latent Markov process is the transition between spreads. We then use a finite Markov mixture of logit regressions on past squared returns to describe the dependence of the probability of price changes. The model can thus be seen as a Double Chain Markov Model. We show that the model describes the shape of return distribution at different time aggregations, volatility clustering, and the anomalo…

Statistics and ProbabilityComputer Science::Computer Science and Game TheoryVolatility clusteringQuantitative Finance - Trading and Market MicrostructureMarkov chainLogitMarkov processStatistical and Nonlinear PhysicsMarkov modelmodels of financial markets nonlinear dynamics stochastic processesTrading and Market Microstructure (q-fin.TR)FOS: Economics and businesssymbols.namesakesymbolsEconometricsKurtosisFraction (mathematics)Almost surelyStatistics Probability and Uncertainty60J20Mathematics
researchProduct

Estimating the decomposition of predictive information in multivariate systems

2015

In the study of complex systems from observed multivariate time series, insight into the evolution of one system may be under investigation, which can be explained by the information storage of the system and the information transfer from other interacting systems. We present a framework for the model-free estimation of information storage and information transfer computed as the terms composing the predictive information about the target of a multivariate dynamical process. The approach tackles the curse of dimensionality employing a nonuniform embedding scheme that selects progressively, among the past components of the multivariate process, only those that contribute most, in terms of co…

Statistics and ProbabilityComputer scienceEntropyTRANSFER ENTROPYStochastic ProcesseInformation Storage and RetrievalheartAPPROXIMATE ENTROPYMaximum entropy spectral estimationInformation theoryGRANGER CAUSALITYJoint entropyNonlinear DynamicMECHANISMSBinary entropy functionTheoreticalHeart RateModelsInformationSLEEP EEGStatisticsOSCILLATIONSTOOLEntropy (information theory)Multivariate AnalysiElectroencephalography; Entropy; Heart Rate; Information Storage and Retrieval; Linear Models; Nonlinear Dynamics; Sleep; Stochastic Processes; Models Theoretical; Multivariate AnalysisConditional entropyStochastic ProcessesHEART-RATE-VARIABILITYCOMPLEXITYConditional mutual informationBrainElectroencephalographyModels TheoreticalScience GeneralCondensed Matter PhysicscardiorespiratoryNonlinear DynamicsPHYSIOLOGICAL TIME-SERIESSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear ModelsLinear ModelTransfer entropySleepAlgorithmStatistical and Nonlinear Physic
researchProduct

Modeling temperature effects on mortality: multiple segmented relationships with common break points.

2008

We present a model for estimation of temperature effects on mortality that is able to capture jointly the typical features of every temperature-death relationship, that is, nonlinearity and delayed effect of cold and heat over a few days. Using a segmented approximation along with a doubly penalized spline-based distributed lag parameterization, estimates and relevant standard errors of the cold- and heat-related risks and the heat tolerance are provided. The model is applied to data from Milano, Italy.

Statistics and ProbabilityDistributed lagHot TemperatureTime FactorsInjury controlPoison controltemperature effectRisk FactorsStatisticsHumansSegmented regressionMortalitysegmented regressionWeatherSimulationMathematicsLikelihood FunctionsModels StatisticalTemperatureGeneral MedicineHeat toleranceCold TemperatureSpline (mathematics)Nonlinear systemStandard errorItalyNonlinear DynamicsLinear ModelsRegression AnalysisStatistics Probability and Uncertaintybreak pointSettore SECS-S/01 - StatisticaAlgorithmsBiostatistics (Oxford, England)
researchProduct

Cross-diffusion-induced subharmonic spatial resonances in a predator-prey system.

2018

In this paper we investigate the complex dynamics originated by a cross-diffusion-induced subharmonic destabilization of the fundamental subcritical Turing mode in a predator-prey reaction-diffusion system. The model we consider consists of a two-species Lotka-Volterra system with linear diffusion and a nonlinear cross-diffusion term in the predator equation. The taxis term in the search strategy of the predator is responsible for the onset of complex dynamics. In fact, our model does not exhibit any Hopf or wave instability, and on the basis of the linear analysis one should only expect stationary patterns; nevertheless, the presence of the nonlinear cross-diffusion term is able to induce …

Statistics and ProbabilityFood ChainTime FactorsChaoticSpatial Behavior01 natural sciencesInstabilityModels BiologicalSquare (algebra)010305 fluids & plasmasDiffusion0103 physical sciencesAnimalsDiffusion (business)010306 general physicsSettore MAT/07 - Fisica MatematicaPhysicsFourier AnalysisMathematical analysisResonanceCondensed Matter PhysicsNonlinear systemComplex dynamicsNonlinear DynamicsPredatory BehaviorHarmonicLinear ModelsStatistical and Nonlinear PhysicPhysical review. E
researchProduct