127 resultados para Polinómios matriciais


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In different regions of Brazil, population growth and economic development can degrade water quality, compromising watershed health and human supply. Because of its ability to combine spatial and temporal data in the same environment and to create water resources management (WRM) models, the Geographical Information System (GIS) is a powerful tool for managing water resources, preventing floods and estimating water supply. This paper discusses the integration between GIS and hydrological models and presents a case study relating to the upper section of the Paraíba do Sul Basin (Sao Paulo State portion), situated in the Southeast of Brazil. The case study presented in this paper has a database suitable for the basin's dimensions, including digitized topographic maps at a 50,000 scale. From an ArcGIS®/ArcHydro Framework Data Model, a geometric network was created to produce different raster products. This first grid derived from the digital elevation model grid (DEM) is the flow direction map followed by flow accumulation, stream and catchment maps. The next steps in this research are to include the different multipurpose reservoirs situated along the Paraíba do Sul River and to incorporate rainfall time series data in ArcHydro to build a hydrologic data model within a GIS environment in order to produce a comprehensive spatial-temporal model.

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Matematica Aplicada e Computacional - FCT

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Zootecnia - FCAV

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The pharmaceutical innovations, such as the use of polymers to control drug release, create possibilities for a better action of the drug in the body, which causes a a more effective therapeutic effect and a safer treatment for the patient. In this work, were prepared and characterized matrix tablets of hydroxypropylmethylcellulose (HPMC) containing nimesulide as model drug to evaluate the performance as a controlled release system. HPMC, a cellulose ester, is a hydrophilic polymer that undergoes swelling, i.e., absorbs water and forms a gel layer controlling drug release. The characterization of powders was performed by analysis of particle size and morphology, density, compressibility index determination, flow properties and determination of swelling profile. The tablets were evaluated according to their physical parameters of quality and to the in vitro release of nimesulide, as well as the analysis of the mechanisms of drug release by appropriate mathematical models. The set of results showed that the HPMC/Nimesulide mixture exhibited satisfactory physical characteristics (size, shape, density and flow). The release profile demonstrated an effective control upon drug release in enteric environment and presented more correlation with Korsmeyer-Peppas’ and Weibull’s mathematical models, indicating that the release of nimesulide occurs through the relaxation of the polymer chains

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The following paper means to develop a program to make structural analysis of space trusses. The program to be implemented was based on the concepts of the finite element method and used the programing resources of Visual Basic for Applications (VBA) for the Excel Software®. Being Excel® a software of easy access, low cost, capacity to make matrix calculations and with advanced resources of VBA programing, it is possible to develop an economic solution, efficient and precise for structural analysis of space trusses. Firstly is presented a finite elemento method and the space truss. Then is developed a few important algorithms to be used during the development of the program and also the use of a few resources of VBA. And to validate the quality, efficiency and precision of the results, these are compared with the established commercial software Ansys

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Mecânica - FEIS

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Pós-graduação em Engenharia Elétrica - FEIS

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Employing the method of least squares and quadratic B-spline polynomials, different statistical models were tested to identify the most appropriate to model the mean trajectories of live weight and carcass yield of Nile tilapia (Oreochromis niloticus). Data of live weight (8,758) and carcass yield (2,042) of tilapias with ages between 106 and 245 days were obtained from 72 families derived from 36 males and 72 females. The sex and tank variables were considered as classificatory and the coefficients of quadratic polynomials B-spline of two to five intervals of the same size were used as covariables. According to most fit criteria used, the models with quadratic B-spline polynomial with five intervals of the same size presented the best adjustments. The increase in number of intervals of B-spline polynomial improved the fit of the polynomials to the data. The inclusion of classificatory effects from sex, tank, the interaction of these effects and the quadratic polynomial B-spline nested in this interaction indicated that, over time, each sex, grown in different tank, presented different mean trajectory, necessitating the inclusion of nesting time in the interaction sex x tank in order to avoid the under or overestimation of breeding values of the selection candidates in breeding programs of this species.

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Pós-graduação em Engenharia Mecânica - FEIS