Search results for "Hierarchical"

showing 10 items of 260 documents

Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models.

2015

Modelling patterns of the spatial incidence of diseases using local environmental factors has been a growing problem in the last few years. Geostatistical models have become popular lately because they allow estimating and predicting the underlying disease risk and relating it with possible risk factors. Our approach to these models is based on the fact that the presence/absence of a disease can be expressed with a hierarchical Bayesian spatial model that incorporates the information provided by the geographical and environmental characteristics of the region of interest. Nevertheless, our main interest here is to tackle the misalignment problem arising when information about possible covar…

Health (social science)Computer scienceEpidemiologyGaussian030231 tropical medicineGeography Planning and DevelopmentBayesian probabilityNormal Distributionlcsh:G1-922Medicine (miscellaneous)Bayesian inference01 natural sciencesNormal distribution010104 statistics & probability03 medical and health sciencessymbols.namesakeBayes' theorem0302 clinical medicineCovariateStatisticsINLAHierarchical Bayesian modellingEconometricsHumansGeostatistics0101 mathematicsSpatial AnalysisStochastic ProcessesModels StatisticalHealth PolicyBayes TheoremFasciola hepaticaLaplace's methodsymbolsGaussian network modelBayesian Kriginglcsh:Geography (General)Geospatial health
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Rapid acoustic boundary element method for solution of 3D problems using hierarchical adaptive cross approximation GMRES approach

2009

This paper presents a new solver for 3D acoustic problems called RABEM (Rapid Acoustic Boundary Element Method). The Adaptive Cross Approximation and a Hierarchical GMRES solver are used to generate both the system matrix and the right hand side vector by saving storage requirement, and to solve the system solution. The potential and the particle velocity values at selected internal points are evaluated using again the Adaptive Cross Approximation (ACA). A GMRES without preconditioner and with a block diagonal preconditioner are developed and tested for low and high frequency problems. Different boundary conditions (i.e. Dirichlet, Neumann and mixed Robin) are also implemented. Herein the p…

Hierarchical ApproachLarge scale problemHigh frequency range.Rapid Acoustic Boundary Element Method Adaptive Cross ApproximationGMRES
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A Measure of Polarization for Tourism: Evidence from Italian Destinations

2011

This paper proposes an index of polarization for tourism which links the axiomatic theory of Esteban and Ray with the classical hierarchical agglomerative clustering techniques. The index is aimed at analyzing the dynamics of the average length of stay across Italian destinations, and more specifically to detect whether the polarization within the set of clusters of places with similar values of the indicator has varied over time.

Hierarchical agglomerative clusteringSet (abstract data type)Index (economics)Polarization (politics)EconometricsAxiomatic systemBusinessDestinationsMarketingMeasure (mathematics)Tourism
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A fast BEM model for 3D elastic structures with attached piezoelectric sensors

2009

A fast boundary element model for the analysis of three-dimensional solids with cracks and adhesively bonded piezoelectric patches, used as strain sensors, is presented. The piezoelectric sensors, as well as the adhesive layer, are modeled using a 3D state space finite element approach. The piezoelectric patch model is formulated taking into account the full electro-mechanical coupling and embodying the suitable boundary conditions and it is eventually expressed in terms of the interface variables, to allow a straightforward coupling with the underlying host structure, which is modeled through a 3D dual boundary element method, for accurate analysis of cracks. The technique is computational…

Hierarchical matricesSettore ING-IND/04 - Costruzioni E Strutture AerospazialiFast BEM solverPiezoelectric sensorDBEM
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Advanced Stochastic Petri Net Modeling with the Mercury Scripting Language

2017

Formal models are widely used in performance and dependability studies of computational systems. Graphical modeling tools allow users to compose such models with ease, but they complicate the creation of models with a dynamic/complex structure, the hierarchical arrangement of different models, and the automatic execution of models with different parameter configurations. To overcome this problem, we created a scripting language for the Mercury tool that supports the combination of different modeling approaches (e.g., Stochastic Petri Nets and Reliability Block Diagrams) in a single project. In this paper, we focus on the extensions developed to improve the capabilities of Generalized Stocha…

Hierarchical modelingProgramming languageComputer science020206 networking & telecommunicationsReliability block diagram02 engineering and technologycomputer.software_genreScripting language0202 electrical engineering electronic engineering information engineeringStochastic Petri netDependability020201 artificial intelligence & image processingPhase-type distributionMercury (programming language)Discrete event simulationcomputercomputer.programming_languageProceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools
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Estimating the Best Reference Homography for Planar Mosaics From Videos

2015

This paper proposes a novel strategy to find the best reference homography in mosaics from video sequences. The reference homography globally minimizes the distortions induced on each image frame by the mosaic homography itself. This method is designed for planar mosaics on which a bad choice of the first reference image frame can lead to severe distortions after concatenating several successive homographies. This often happens in the case of underwater mosaics with non-flat seabed and no georeferential information available. Given a video sequence of an almost planar surface, sub-mosaics with low distortions of temporally close image frames are computed and successively merged according to…

Hierarchical mosaicingViewpoint computationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPlanarComputer graphics (images)Hierarchical Mosaicing Viewpoint Computation Underwater VisionComputer visionArtificial intelligenceUnderwater visionbusinessHomography (computer vision)
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Looking for representative fit models for apparel sizing

2014

This paper is concerned with the generation of optimal fit models for use in apparel design. Representative fit models or prototypes are important for defining a meaningful sizing system. However, there is no agreement among apparel manufacturers and each one has their own prototypes and size charts i.e. there is a lack of standard sizes in garments from different apparel manufacturers. We propose two algorithms based on a new hierarchical partitioning around medoids clustering method originally developed for gene expression data. We are concerned with a different application; therefore, the dissimilarity between the objects has to be different and must be designed to deal with anthropometr…

Hierarchical treeInformation Systems and ManagementComputer sciencecomputer.software_genreMachine learningManagement Information SystemsINCA statisticArts and Humanities (miscellaneous)Mean split silhouetteDevelopmental and Educational PsychologyMarket shareCluster analysisbusiness.industryClothingMedoidSizingHIPAMOutlierPartitioning around medoidsArtificial intelligenceData miningbusinesscomputerInformation SystemsFit models
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Assessing complexity in learning outcomes : a comparison between the SOLO taxonomy and the model of hierarchical complexity

2015

An important aspect of higher education is to educate students who can manage complex relationships and solve complex problems. Teachers need to be able to evaluate course content with regard to complexity, as well as evaluate students’ ability to assimilate complex content and express it in the form of a learning outcome. One model for evaluating complexity is the Structure of Observed Learning Outcomes (SOLO) taxonomy. The aim of this analysis is to address the limitations of the SOLO taxonomy in detecting the more subtle differences of the learning outcomes and to clarify the concept of learning modes. This is done by analysing the SOLO taxonomy by means of the model of hierarchical comp…

Higher educationModel of hierarchical complexityTeaching methodSOLO taxonomyOutcome (game theory)Education03 medical and health sciences0302 clinical medicineConcept learningTaxonomy (general)PedagogyComputingMilieux_COMPUTERSANDEDUCATIONta516Piaget's theory of cognitive developmentta515Structure (mathematical logic)business.industry05 social scienceslearning outcome050301 educationData science030227 psychiatrymodel of hierarchical complexitybusinessPsychologycomplexity0503 educationneo-PiagetianAssessment and Evaluation in Higher Education
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Basic Chemometric Tools

2013

Abstract The authentication of protected designation of origin and other protected geographical indications for foods involves the need for a deep knowledge of these kinds of samples and the correct identification of appropriate markers that are suitable to be used for authentication purposes. For this, significance tests must be developed and applied to provide evidence in a fast and accurate way; from this, it seems clear that advances in analytical tools, to obtain data regarding food chemical composition, and chemometric data treatments must be continued to provide to the users powerful identification methodologies. In this sense, the objective must be to differentiate between foods pro…

Identification (information)business.industryComputer sciencePrincipal component analysisDeep knowledgeArtificial intelligencebusinessMachine learningcomputer.software_genrecomputerAuthentication (law)Hierarchical clustering
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The Hierarchical Mixed Rural Postman Problem: Polyhedral analysis and a branch-and-cut algorithm

2017

[EN] The Hierarchical Mixed Rural Postman Problem is defined on a mixed graph where arcs and edges that require a service are divided into clusters' that have to be serviced in a hierarchical order. The problem generalizes the Mixed Rural Postman Problem and thus is NP-hard. In this paper, we provide a polyhedral analysis of the problem and propose a branch-and-cut algorithm for its solution based on the introduced classes of valid inequalities. Extensive computational experiments are reported on benchmark instances. The exact approach allows to find the optimal solutions in less than 1 hour for instances with up to 999 vertices, 2678 links, and five clusters.

Information Systems and ManagementHierarchical Routing ProblemsGeneral Computer Science0211 other engineering and technologiesMixed graph02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringCombinatorics0502 economics and businessOrder (group theory)Mixed Rural Postman ProblemPolyhedral analysisBranch-and-cut Hierarchical Routing Problems Mixed Rural Postman Problem Polyhedral analysis Modeling and Simulation Management Science and Operations Research Information Systems and ManagementMathematicsDiscrete mathematics050210 logistics & transportation021103 operations research05 social sciencesBranch-and-cutModeling and SimulationBenchmark (computing)Polyhedral analysisMATEMATICA APLICADABranch and cutAlgorithmEuropean Journal of Operational Research
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