916 resultados para Framework multinível
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This file includes the ontology of patterns of educational settings adapted to a given organization as part of a formal framework for specifying, reusing and implementing educational settings. It includes a description of such an ontology.
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Rare species have restricted geographic ranges, habitat specialization, and/or small population sizes. Datasets on rare species distribution usually have few observations, limited spatial accuracy and lack of valid absences; conversely they provide comprehensive views of species distributions allowing to realistically capture most of their realized environmental niche. Rare species are the most in need of predictive distribution modelling but also the most difficult to model. We refer to this contrast as the "rare species modelling paradox" and propose as a solution developing modelling approaches that deal with a sufficiently large set of predictors, ensuring that statistical models aren't overfitted. Our novel approach fulfils this condition by fitting a large number of bivariate models and averaging them with a weighted ensemble approach. We further propose that this ensemble forecasting is conducted within a hierarchic multi-scale framework. We present two ensemble models for a test species, one at regional and one at local scale, each based on the combination of 630 models. In both cases, we obtained excellent spatial projections, unusual when modelling rare species. Model results highlight, from a statistically sound approach, the effects of multiple drivers in a same modelling framework and at two distinct scales. From this added information, regional models can support accurate forecasts of range dynamics under climate change scenarios, whereas local models allow the assessment of isolated or synergistic impacts of changes in multiple predictors. This novel framework provides a baseline for adaptive conservation, management and monitoring of rare species at distinct spatial and temporal scales.
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Implementació d'un projecte per migrar un framework basat en Struts 1.1 a JSF 2.0, incloent les biblioteques de tags.
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Disseny i implementació d'un framework de persistència anomenat MyFrameUOC que facilita i agilitza la implementació de la capa d'administració de dades de les aplicacions J2EE.
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La finalidad de este proyecto es la construcción de un framework para la capa de presentación para aplicaciones web bajo la plataforma J2EE.
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In this paper, we propose a new paradigm to carry outthe registration task with a dense deformation fieldderived from the optical flow model and the activecontour method. The proposed framework merges differenttasks such as segmentation, regularization, incorporationof prior knowledge and registration into a singleframework. The active contour model is at the core of ourframework even if it is used in a different way than thestandard approaches. Indeed, active contours are awell-known technique for image segmentation. Thistechnique consists in finding the curve which minimizesan energy functional designed to be minimal when thecurve has reached the object contours. That way, we getaccurate and smooth segmentation results. So far, theactive contour model has been used to segment objectslying in images from boundary-based, region-based orshape-based information. Our registration technique willprofit of all these families of active contours todetermine a dense deformation field defined on the wholeimage. A well-suited application of our model is theatlas registration in medical imaging which consists inautomatically delineating anatomical structures. Wepresent results on 2D synthetic images to show theperformances of our non rigid deformation field based ona natural registration term. We also present registrationresults on real 3D medical data with a large spaceoccupying tumor substantially deforming surroundingstructures, which constitutes a high challenging problem.
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Construcció d'un framework de persistència en J2EE.
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Disseny i implementació d'un marc de treball (framework) de presentació per a aplicacions J2EE.
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RESUMONesta pesquisa, investiga-se a influência de diferentes grupos de fatores na variância da maturidade do endividamento corporativo na América Latina. Para isso, foi utilizado o Modelo Linear Hierárquico, que possibilita o aninhamento de variáveis em diferentes níveis. Ao longo do estudo, procedeu-se à análise fatorial com o objetivo de mensurar o nível de desenvolvimento financeiro e da qualidade das instituições dos países da amostra. Os resultados sugerem que as variações, ao longo do tempo e entre as empresas, são as maiores fontes de variações na maturidade do endividamento. Além disso, o tamanho e a liquidez da empresa, a taxa real de juros e o desenvolvimento financeiro do país sobressaem-se como principais determinantes da maturidade das dívidas. Finalmente, as medidas de desenvolvimento financeiro e qualidade das instituições impactaram indiretamente na maturidade do endividamento por meio da variável tamanho.
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Estudio del mercado de frameworks de presentación, análisis de patrones de diseño y diseño y desarrollo de un framework de presentación bajo la plataforma J2EE.
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Creación de un framework de capa de presentación para aplicaciones JEE.
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The development of forensic intelligence relies on the expression of suitable models that better represent the contribution of forensic intelligence in relation to the criminal justice system, policing and security. Such models assist in comparing and evaluating methods and new technologies, provide transparency and foster the development of new applications. Interestingly, strong similarities between two separate projects focusing on specific forensic science areas were recently observed. These observations have led to the induction of a general model (Part I) that could guide the use of any forensic science case data in an intelligence perspective. The present article builds upon this general approach by focusing on decisional and organisational issues. The article investigates the comparison process and evaluation system that lay at the heart of the forensic intelligence framework, advocating scientific decision criteria and a structured but flexible and dynamic architecture. These building blocks are crucial and clearly lay within the expertise of forensic scientists. However, it is only part of the problem. Forensic intelligence includes other blocks with their respective interactions, decision points and tensions (e.g. regarding how to guide detection and how to integrate forensic information with other information). Formalising these blocks identifies many questions and potential answers. Addressing these questions is essential for the progress of the discipline. Such a process requires clarifying the role and place of the forensic scientist within the whole process and their relationship to other stakeholders.