Search results for "ASIS"

showing 10 items of 4190 documents

Prediction of banana quality indices from color features using support vector regression

2015

Banana undergoes significant quality indices and color transformations during shelf-life process, which in turn affect important chemical and physical characteristics for the organoleptic quality of banana. A computer vision system was implemented in order to evaluate color of banana in RGB, L*a*b* and HSV color spaces, and changes in color features of banana during shelf-life were employed for the quantitative prediction of quality indices. The radial basis function (RBF) was applied as the kernel function of support vector regression (SVR) and the color features, in different color spaces, were selected as the inputs of the model, being determined total soluble solids, pH, titratable acid…

Support Vector Machinemedia_common.quotation_subjectOrganolepticColorHSL and HSVColor space01 natural sciencesAnalytical Chemistry0404 agricultural biotechnologyArtificial IntelligenceQuality (business)Radial basis functionmedia_commonArtificial neural networkChemistrybusiness.industry010401 analytical chemistryMusaPattern recognitionPigments Biological04 agricultural and veterinary sciences040401 food science0104 chemical sciencesSupport vector machineRGB color modelNeural Networks ComputerArtificial intelligencebusinessForecastingTalanta
researchProduct

A Review of Kernel Methods in ECG Signal Classification

2011

Kernel methods have been shown to be effective in the analysis of electrocardiogram (ECG) signals. These techniques provide a consistent and well-founded theoretical framework for developing nonlinear algorithms. Kernel methods exhibit useful properties when applied to challenging design scenarios, such as: (1) when dealing with low number of (potentially high dimensional) training samples; (2) in the presence of heterogenous multimodalities; and (3) with different noise sources in the data. These characteristics are particularly appropriate for biomedical signal processing and analysis, and hence, the widespread of these techniques in biomedical signal processing in general, and in ECG dat…

Support vector machineKernel methodArtificial neural networkbusiness.industryNoise (signal processing)Computer scienceKernel (statistics)Radial basis function kernelContext (language use)Pattern recognitionArtificial intelligencebusinessBeat detection
researchProduct

Applications of Kernel Methods

2009

In this chapter, we give a survey of applications of the kernel methods introduced in the previous chapter. We focus on different application domains that are particularly active in both direct application of well-known kernel methods, and in new algorithmic developments suited to a particular problem. In particular, we consider the following application fields: biomedical engineering (comprising both biological signal processing and bioinformatics), communications, signal, speech and image processing.

Support vector machineKernel methodbusiness.industryComputer scienceVariable kernel density estimationPolynomial kernelRadial basis function kernelPattern recognitionArtificial intelligenceGeometric modeling kernelTree kernelbusinessKernel principal component analysis
researchProduct

Efficient Analysis of Arbitrarily Shaped Inductive Obstacles in Rectangular Waveguides Using a Surface Integral Equation Formulation

2007

In this paper we propose to use the Surface Integral Equation technique for the analysis of arbitrarily shaped Hplane obstacles in rectangular waveguides, which can contain both metallic and/or dielectric objects. The Green functions are formulated using both spectral and spatial images series, whose convergence behavior has been improved through several acceleration techniques. Proceeding in this way, the convergence of the series is not attached to the employment of any particular basis or test function, thus consequently increasing the flexibility of the implemented technique. In order to test the accuracy and numerical efficiency of the proposed method, results for practical microwave c…

Surface (mathematics)Componentes de guía de ondasWaveguide componentsAccelerationResonadores dieléctricosConvergence (routing)Electronic engineeringGreen's functionsMoment methodsElectrical and Electronic EngineeringIntegral equationsDiscontinuidades de ondas guíaMathematicsTeoría de la Señal y las ComunicacionesRadiationSeries (mathematics)Basis (linear algebra)Methods currentlyNumerical analysisMathematical analysisMétodos de momentosCondensed Matter PhysicsIntegral equationWaveguide discontinuitiesDielectric resonatorsEcuaciones integralesTest functions for optimizationFunciones GreenIntegral equation (IE)3325 Tecnología de las Telecomunicaciones
researchProduct

Ab initiomodeling of surface structure forSrTiO3perovskite crystals

2001

We present and discuss the results of calculations of ${\mathrm{SrTiO}}_{3}$ (100) surface relaxation and rumpling with two different terminations (SrO and ${\mathrm{TiO}}_{2}).$ These are based on ab initio Hartree-Fock method with electron correlation corrections and density functional theory calculations with different exchange-correlation functionals, including hybrid exchange techniques. Both approaches use the localized Gaussian-type basis set. All methods agree well on surface energies and on atomic displacements, as well as on considerable increase of covalency effects nearby the surface. More detailed experiments on surface rumpling and relaxation are necessary for further testing …

Surface (mathematics)Condensed Matter::Materials ScienceMaterials scienceCondensed matter physicsElectronic correlationRelaxation (NMR)Ab initioSurface structureDensity functional theoryBasis setPerovskite (structure)Physical Review B
researchProduct

Calculations of atomic and electronic structure for (100) surfaces of SrTiO3 perovskite

2002

AbstractWe present and discuss main results of the calculations for the surface relaxation and rumpling of SrTiO3 surfaces with TiO2 and SrO terminations using a wide variety of methods of modern computational physics and chemistry, including the shell model (SM) and ab initio methods based on Hartree-Fock (HF) and Density Functional Theory (DFT). The HF and DFT formalisms with different exchange-correlation functionals are implemented into Crystal-98 computer code using a Gaussian-type basis set. We demonstrate that a hybrid B3PW formalism gives the best results for the bulk SrTiO3 properties. Results are compared with previous ab initio plane-wave LDA calculations and LEED experiments. Ou…

Surface (mathematics)Materials scienceSHELL modelRelaxation (NMR)Ab initioDensity functional theoryElectronic structureMolecular physicsBasis setPerovskite (structure)
researchProduct

Deviations from equilibrium at the interface of a charged membrane

1989

The local equilibrium assumption commonly employed for the transport through the interface of a charged membrane has been analysed from a simplified electric double layer model. This layer is characterized on the basis of a surface potential arising from a non-zero surface charge density placed on the membrane surface. The dependence of deviations from local equilibrium on the characteristic parameters of the problem is shown. Connection with the classical treatment by Donnan is discussed. Although the complexity of the problem calls for a number of simplifications, the results obtained appears to be significative. Thus, the analysis carried out displays not only that deviations from equili…

Surface (mathematics)MembraneBasis (linear algebra)ChemistryGeneral Chemical EngineeringIonic bondingThermodynamicsCharge densityLimit (mathematics)Diffusion (business)Connection (mathematics)Berichte der Bunsengesellschaft für physikalische Chemie
researchProduct

Thermodynamics of Nanoparticles: Experimental Protocol Based on a Comprehensive Ginzburg-Landau Interpretation

2014

MATERIAUX+SMR:SDA; The effects of surface and interface on the thermodynamics of small particles require a deeper understanding. This step is crucial for the development of models that can be used for decision-making support to design nanomaterials with original properties. On the basis of experimental results for phase transitions in compressed ZnO nanoparticles, we show the limitations of classical thermodynamics approaches (Gibbs and Landau). We develop a new model based on the Ginzburg-Landau theory that requires the consideration of several terms, such as the interaction between nanoparticles, pressure gradients, defect density, and so on. This phenomenological approach sheds light on …

Surface (mathematics)Models MolecularPhase transitionCompressive StrengthInterface (Java)ThermodynamicsNanoparticleBioengineeringPhase TransitionInterpretation (model theory)Theoretical physics[ CHIM.CATA ] Chemical Sciences/CatalysisPressureGeneral Materials ScienceComputer SimulationStatistical physicsProtocol (object-oriented programming)Ginzburg landauBasis (linear algebra)ChemistryMechanical EngineeringGeneral Chemistry[CHIM.CATA]Chemical Sciences/CatalysisCondensed Matter Physics[SDE.ES]Environmental Sciences/Environmental and SocietyEnergy TransferModels ChemicalNanoparticlesThermodynamicsZinc Oxide[ SDE.ES ] Environmental Sciences/Environmental and Society
researchProduct

Orientation of a Surface

2012

We know from Chap. 4 that in order to evaluate the flux of a vector field across a regular surface S, we need to choose a unit normal vector at each point of S in such a way that the resulting vector field is continuous. For instance, if we submerge a permeable sphere into a fluid and we select the field of unit normal outward vectors on the sphere, then the flux of the velocity field of the fluid across the sphere gives the amount of fluid leaving the sphere per unit time. However, if we select the field of unit normal inward vectors on the sphere, then the flux of the velocity field of the fluid across the sphere gives the amount of fluid entering the sphere per unit time (which is the ne…

Surface (mathematics)Orientation (vector space)PhysicsField (physics)Standard basisMathematical analysisTangent spaceFluxSPHERESVector field
researchProduct

Bridging scales with thermodynamics: from nano to macro

2014

We have recently developed a method to calculate thermodynamic properties of macroscopic systems by extrapolating properties of systems of molecular dimensions. Appropriate scaling laws for small systems were derived using the method for small systems thermodynamics of Hill, considering surface and nook energies in small systems of varying sizes. Given certain conditions, Hill's method provides the same systematic basis for small systems as conventional thermodynamics does for large systems. We show how the method can be used to compute thermodynamic data for the macroscopic limit from knowledge of fluctuations in the small system. The rapid and precise method offers an alternative to curre…

Surface (mathematics)PhysicsNanothermodyamicsCurrent (mathematics)Scaling lawsBasis (linear algebra)ComputationBinary numberThermodynamicsIndustrial and Manufacturing EngineeringKirkwood-Buff integralsThermodynamic factorsThermodynamic limitGeneral Materials ScienceNanothermodyamics; Scaling laws; Kirkwood-Buff integrals; Thermodynamic factors; Diffusion coefficientStatistical physicsElectrical and Electronic EngineeringDiffusion (business)MacroDiffusion coefficientAdvances in Natural Sciences: Nanoscience and Nanotechnology
researchProduct