Search results for "Method"

showing 10 items of 13253 documents

Robustness of texture parameters for color texture analysis

2006

This article proposes to deal with noisy and variable size color textures. It also proposes to deal with quantization methods and to see how such methods change final results. The method we use to analyze the robustness of the textures consists of an auto-classification of modified textures. Texture parameters are computed for a set of original texture samples and stored into a database. Such a database is created for each quantization method. Textures from the set of original samples are then modified, eventually quantized and classified according to classes determined from a precomputed database. A classification is considered incorrect if the original texture is not retrieved. This metho…

business.industryCovariance matrixAutocorrelationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionMaxima and minimaQuantization (physics)Matrix (mathematics)Computer Science::GraphicsAutocorrelation matrixComputer Science::Computer Vision and Pattern RecognitionPrincipal component analysisRGB color modelComputer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICSMathematicsSPIE Proceedings
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Dynamic Shakedown Sensitivity Analysis by Means of a Probabilistic Approach

2017

The shakedown limit load multiplier problem for elastic plastic structures subjected to a combination of fixed and seismic loads is treated. In particular, reference is firstly made to the unrestricted dynamic shakedown theory. The relevant seismic load history is modeled as a repeated one and, with reference to classically damped structures, appropriate modal analyses are utilized. With the aim of evaluating the reliability of the results arising from the application of the cited theory, a recent probabilistic approach is also utilized. This approach adopts the Monte Carlo method in order to define the necessary seismic acceleration histories and finally compute the related shakedown limit…

business.industryCumulative distribution functionSeismic loadingMonte Carlo method0211 other engineering and technologiesComputational MechanicsProbabilistic logic02 engineering and technologyBuilding and ConstructionStructural engineeringShakedown020303 mechanical engineering & transportsModal0203 mechanical engineeringMechanics of MaterialsArchitectureLimit loadMultiplier (economics)Safety Risk Reliability and Qualitybusiness021106 design practice & managementCivil and Structural EngineeringMathematicsInternational Review of Civil Engineering (IRECE)
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Plenoptic image watermarking to preserve copyright

2017

Common camera loses a huge amount of information obtainable from scene as it does not record the value of individual rays passing a point and it merely keeps the summation of intensities of all the rays passing a point. Plenoptic images can be exploited to provide a 3D representation of the scene and watermarking such images can be helpful to protect the ownership of these images. In this paper we propose a method for watermarking the plenoptic images to achieve this aim. The performance of the proposed method is validated by experimental results and a compromise is held between imperceptibility and robustness.

business.industryData_MISCELLANEOUSComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technologyÒpticaImage (mathematics)GeographyRobustness (computer science)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPoint (geometry)Computer visionArtificial intelligencebusinessRepresentation (mathematics)Digital watermarkingThree-Dimensional Imaging, Visualization, and Display 2017
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Structural assessment of the EU-DEMO WCLL Central Outboard Blanket segment under normal and off-normal operating conditions

2021

Abstract Within the framework of the EUROfusion design activities concerning the EU-DEMO Breeding Blanket (BB) system, a research campaign has been carried out at the University of Palermo with the aim of investigating the structural behaviour of the DEMO Water-Cooled Lithium Lead (WCLL) Central Outboard Blanket (COB) segment. The assessment has been performed considering three different loading scenarios: the Normal Operation (NO), the Over-Pressurization (OP) and the Upward Vertical Displacement Event (VDE-up). In particular, NO scenario represents the loading case referring to the nominal operating conditions, whereas the OP scenario refers to the loading conditions due to an in-box LOCA…

business.industryDesign activitiesMechanical EngineeringFEM analysisStructural engineeringVDEBlanketPlasma volumeVertical motionFinite element methodWCLLNuclear Energy and EngineeringPlasma chamberGeneral Materials ScienceVertical displacementBreeding blanketbusinessDEMOGeologySettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringEvent (probability theory)
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Remote Sensing Geometric Corrections

2016

This article reviews the different aspects of geometrical processing of remote sensing data, discussing error sources and methods to determine the transformation from the image acquisition geometry to the output cartographic product. Resampling methods are discussed to transform the input image to the output geometry. Several practical examples of remote sensing platforms are discussed, including satellite cases and airborne sensors. Validation of the resulting geometrical processed products is also discussed. Spatial mosaicking techniques and multitemporal composites used to produce multisource integrated products and advanced applications are finally considered, keeping a perspective on t…

business.industryDistortion (optics)Perspective (graphical)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationGeographyTransformation (function)Remote sensing (archaeology)Image scalingGlobal Positioning SystemPreprocessorComputer visionArtificial intelligencebusinessRemote sensing
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Recent insights for the green recovery of inulin from plant food materials using non-conventional extraction technologies: A review

2016

Abstract Inulin constitutes an important food ingredient, widely used for its fiber content, and its ability to substitute fat and sugar ingredients. Traditionally, industrial inulin production from chicory roots requires high extraction temperature (70–80 °C) and long extraction time (1–2 h). This conventional extraction is generally accompanied with the presence of a large amount of impurities in the extracted juice, mainly due to the application of high temperature, requiring thus further purification steps. To overcome these issues, developing novel extraction technologies, consuming less energy, faster, and providing high yield and purity, is of paramount importance to meet the require…

business.industryExtraction (chemistry)InulinSupercritical fluid extraction04 agricultural and veterinary sciencesGeneral ChemistryPlant foods040401 food scienceIndustrial and Manufacturing EngineeringIngredientchemistry.chemical_compound0404 agricultural biotechnologyIndustrial sustainabilitychemistryScientific methodEnvironmental scienceFood scienceProcess engineeringbusinessSugarFood ScienceInnovative Food Science & Emerging Technologies
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Semisupervised kernel orthonormalized partial least squares

2012

This paper presents a semisupervised kernel orthonormalized partial least squares (SS-KOPLS) algorithm for non-linear feature extraction. The proposed method finds projections that minimize the least squares regression error in Hilbert spaces and incorporates the wealth of unlabeled information to deal with small size labeled datasets. The method relies on combining a standard RBF kernel using labeled information, and a generative kernel learned by clustering all available data. The positive definiteness of the kernels is proven, and the structure and information content of the derived kernels is studied. The effectiveness of the proposed method is successfully illustrated in standard UCI d…

business.industryFeature extractionNonlinear dimensionality reductionPattern recognitionComputingMethodologies_PATTERNRECOGNITIONKernel methodVariable kernel density estimationKernel (statistics)Radial basis function kernelPartial least squares regressionArtificial intelligenceCluster analysisbusinessMathematics2012 IEEE International Workshop on Machine Learning for Signal Processing
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Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis

2014

This paper presents a novel semisupervised kernel partial least squares (KPLS) algorithm for nonlinear feature extraction to tackle both land-cover classification and biophysical parameter retrieval problems. The proposed method finds projections of the original input data that align with the target variable (labels) and incorporates the wealth of unlabeled information to deal with low-sized or underrepresented data sets. The method relies on combining two kernel functions: the standard radial-basis-function kernel based on labeled information and a generative, i.e., probabilistic, kernel directly learned by clustering the data many times and at different scales across the data manifold. Th…

business.industryFeature extractionPattern recognitioncomputer.software_genreKernel principal component analysisComputingMethodologies_PATTERNRECOGNITIONKernel embedding of distributionsPolynomial kernelVariable kernel density estimationKernel (statistics)Radial basis function kernelGeneral Earth and Planetary SciencesPrincipal component regressionData miningArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerMathematicsRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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Monte Carlo dosimetric study of the Flexisource Co-60 high dose rate source.

2011

Purpose: Recently, a new HDR 60 Co brachytherapy source, Flexisource Co-60, has been developed (Nucletron B.V. Veenendaal, The Netherlands). This study aims to obtain dosimetric data for this source for its use in clinical practice as required by AAPM and ESTRO. Material and methods: Two Monte Carlo radiation transport codes were used: Penelope2008 and GEANT4. The source was centrally-positioned in a 100 cm radius water phantom. Absorbed dose and collisional kerma were obtained using 0.01 cm (close) and 0.1 cm (far) sized voxels to provide high-resolution dosimetry near (far from) the source. Dose rate distributions obtained with the two Monte Carlo codes were compared. Results and Discussi…

business.industryFlexisource Co-60Penelope2008medicine.medical_treatmentBrachytherapyMonte Carlo methodbrachytherapyImaging phantomComputational physicsKermaOncologyAbsorbed doseMedicineDosimetryRadiology Nuclear Medicine and imagingOriginal ArticlebusinessDose rateRadiation treatment planningNuclear medicineTG-43GEANT4Journal of contemporary brachytherapy
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Noise Robustness Analysis of Point Cloud Descriptors

2013

In this paper, we investigate the effect of noise on 3D point cloud descriptors. Various types of point cloud descriptors have been introduced in the recent years due to advances in computing power, which makes processing point cloud data more feasible. Most of these descriptors describe the orientation difference between pairs of 3D points in the object and represent these differences in a histogram. Earlier studies dealt with the performances of different point cloud descriptors; however, no study has ever discussed the effect of noise on the descriptors performances. This paper presents a comparison of performance for nine different local and global descriptors amidst 10 varying levels o…

business.industryGaussianComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPoint cloudPattern recognitionImpulse (physics)Impulse noisesymbols.namesakeComputingMethodologies_PATTERNRECOGNITIONGaussian noiseRobustness (computer science)Computer Science::Computer Vision and Pattern RecognitionHistogramComputer Science::MultimediasymbolsArtificial intelligencebusinessNormalMathematics
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