3 resultados para Modelos as-built

em Universidade Federal do Rio Grande do Norte(UFRN)


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Digital Elevation Models (DEM) are numerical representations of a portion of the earth surface. Among several factors which affect the quality of a DEM, it should be emphasized the attention on the input data and the choice of the interpolating algorithm. On the other hand, several numerical models are used nowadays to characterize nearshore hydrodynamics and morphological changes in coastal areas, whose validation is based on field data collection. Independent on the complexity of the physical processes which are modeled, little attention has been given to the intrinsic bathymetric interpolation built within the numerical models of the specific application. Therefore, this study aims to investigate and to quantify the influence of the bathymetry, as obtained by a DEM, on the hydrodynamic circulation model at a coastal stretch, off the coast of the State of Rio Grande do Norte, Northeast Brazil. This coastal region is characterized by strong hydrodynamic and littoral processes, resulting in a very dynamic morphology with shallow coastal bathymetry. Important economic activities, such as oil exploitation and production, fisheries, salt ponds, shrimp farms and tourism, also bring impacts upon the local ecosystems and influence themselves the local hydrodynamics. This fact makes the region one of the most important for the development of the State, but also enhances the possibility of serious environmental accidents. As a hydrodynamic model, SisBaHiA® - Environmental Hydrodynamics System ( Sistema Básico de Hidrodinâmica Ambiental ) was chosen, for it has been successfully employed at several locations along the Brazilian coast. This model was developed at the Coastal and Oceanographical Engineering Group of the Ocean Engineering Program at the Federal University of Rio de Janeiro. Several interpolating methods were tested for the construction of the DEM, namely Natural Neighbor, Kriging, Triangulation with Linear Interpolation, Inverse Distance to a Power, Nearest Neighbor, and Minimum Curvature, all implemented within the software Surfer®. The bathymetry which was used as reference for the DEM was obtained from nautical charts provided by the Brazilian Hydrographic Service of the Brazilian Navy and from a field survey conducted in 2005. Changes in flow velocity and free surface elevation were evaluated under three aspects: a spatial vision along three profiles perpendicular to the coast and one profile longitudinal to the coast as shown; a temporal vision from three central nodes of the grid during 30 days; a hodograph analysis of components of speed in U and V, by different tidal cycles. Small, but negligible, variations in sea surface elevation were identified. However, the differences in flow and direction of velocities were significant, depending on the DEM

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The object of this study is the construction of situation models in the discourse pattern comic book narrative, and sits in the field of Cognitive Linguistics. Its main foundations are the notions of embodied mind (LAKOFF; JOHNSON, 1999), mental simulation (BARSALOU, 1999), discourse pattern (DUQUE; COSTA, 2012) and situation models (ZWAAN, 1999). I stem from the hypothesis that the process of meaning construction in narratives is attached to the simulation of space, of time and of the characters goals and actions within the story world, dimensions which make up the situation models elaborated by the reader. The simulation of these experiences during discourse processing originates from the fact of it having an embodied and cultural basis, i.e., upon being confronted with the clues found in the narrative, the cognitive structures that make up the reader s personal and social memories are triggered and make it possible to activate information which in turn refer to his/her physical and social experiences, built up in the environment in which he/she lives. As regards comic book narratives, the construction of situation models is closely related to the recurring activation of certain cognitive structures originating from graphic resources that are typical of that discourse pattern. These conclusions were drawn from the data analysis taken from the work Palestina (SACCO, 2003; 2004; 2011)

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In this work we study the Hidden Markov Models with finite as well as general state space. In the finite case, the forward and backward algorithms are considered and the probability of a given observed sequence is computed. Next, we use the EM algorithm to estimate the model parameters. In the general case, the kernel estimators are used and to built a sequence of estimators that converge in L1-norm to the density function of the observable process