Análise temporal do uso e ocupação do solo na microbacia hidrográfica do córrego da Fazenda Glória, Município de Taquaritinga, SP

The role of environmental concern is important due to the disorganized land occupation and intense exploitation of natural resources which lead to the degradation and exhaustion of the environment. Remonte sensing techniques allow identifying, recognizing and mapping areas modifiers besides estimating the extension of alterations made by man. Thus, the objective of this study was to map land use and occupation in order to evaluate the development of the Gloria Farm Stream watershed in Taquaritinga, SP, Brazil, from 1983 to 2000. The drainage network and agricultural and natural vegetation areas were identified by stereoscopic analyses of 2000 aerial photographs and by data analyses of the field and cartographic documents. The results verified that sugarcane became predominat in 2000 and it is distributed in relatively large areas with detriment to citrus orchards and other crops. The presence of dams, which is not noted in 1983 data, and the increase of forest and natural vegetal fragment areas in the analyzed period was observed. Recovered areas dur to reforestation with native species were identified along the streams and springs of Jabuticabal Mountain Range.

Proposição de rotina morfológica para detecção de malha viária em imagens orbitais

The outdating of cartographic products affects planning. It is important to propose methods to help detect changes in surface. Thus, the combined use of remote sensing image and techniques of digital image processing has contributed significantly to minimize such outdating. Mathematical morphology is an image processing technique which describes quantitatively geometric structures presented in the image and provides tools such as edge detectors and morphological filters. Previous studies have shown that the technique has potential on the detection of significant features. Thus, this paper proposes a routine of morphological operators to detect a road network. The test area corresponds to an excerpt Quickbird image and has as a feature of interest an avenue of the city of Presidente Prudente, SP. In the processing, the main morphological operators used were threshad, areaopen, binary and erosion. To estimate the accuracy with which the linear features were detected, it was done the analysis of linear correlation between vectors of the features detected and the corresponding topographical map of the region. The results showed that the mathematical morphology can be used in cartography, aiming to use them in conventional cartographic updating processes.

Modifications induced by acetylacetone in properties of sol-gel derived Y3Al5O12:Tb3+ - I: Structural and morphological organizations

Acetylacetone has been used as a chemical modifier for the synthesis of undoped and Tb3+-doped Y3Al5O12 powders. A systematic investigation concerning its influence on the structural and morphological properties of amorphous and crystallized samples has been carried out. These properties have been comparatively studied by means of X-ray diffraction, infrared spectroscopy, SEM, XAS and SAXS. 27Al NMR and EPR experiments have been performed to complete the study. The combined results have evidenced that acetylacetone promotes organic groups departure during calcination, entailing a better structural organization at lower temperatures compared with unmodified powders. Structuration has been proven to occur at short-scale range until a 600°C heating treatment before being extended by coalescence at higher temperatures. Finally, the presence of acac ligands on the alkoxides leads to a monomer-cluster aggregation process, and thus to a more open network. © 2010 The Royal Society of Chemistry.

Public-private partnerships in renewable energy in Latin America and the Caribbean

Incluye Bibliografía

Análise bibliométrica da revista Scire: Um estudo de colaboração científica institucional

The aim of this research is to make a bibliometric analysis of the journal Scire: Representación y Organización del Conocimiento, edited in Spain, in order to evidence the most productive institutions and countries, as well as to build a cooperation network and calculate the density indicators, centrality degree and betweenness. The 292 articles of the period 1996 to 2010 were analyzed. It was found out that, of the institutions participating in the articles, 25 institutions have been clearly the most productive. Almost all of them are Spanish, except four Brazilian ones and three more from three different countries. The institutional network showed a low density, but several cooperative sub-networks were identified, which suggest the existence of an international dialogue among researchers on the discipline.

Neural networks models for wear patterns recognition of single-point dresser

Grinding is a workpiece finishing process for advanced products and surfaces. However, the constant friction between workpiece and grinding wheel causes the latter to lose its sharpness, thereby impairing the result of the grinding process. When this occurs, the dressing process is essential to sharpen the worn grains of the grinding wheel. The dressing conditions strongly influence the performance of the grinding operation; hence, monitoring them throughout the process can increase its efficiency. The purpose of this study was to classify the wear condition of a single-point dresser using intelligent systems whose inputs were obtained by digitally processing acoustic emission signals. Two multilayer perceptron (MLP) neural networks were compared for their classification ability, one using the root mean square (RMS) statistics and another the ratio of power (ROP) statistics as input. In this study, it was found that the harmonic content of the acoustic emission signal is influenced by the condition of the dresser, and that the condition of the tool under study can be classified by using the aforementioned statistics to feed a neural network. © IFAC.

Desenvolvimento de hardware e software para tratamento e visualização de dados de descargas atmosféricas aplicados à segurança da navegação hidroviária

Pós-graduação em Engenharia Elétrica - FEIS

Utilização de redes neurais recorrentes na caracterização de cargas não lineares em sistemas elétricos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Adsorção de cádmio e disponibilidade de cádmio e bário em latossolos sob mata nativa e cultivados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Simulação numérica da convecção natural no interior de um refrigerador doméstico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Reconstrução e geração de malhas em estruturas biomecânicas tridimensionais para análise por elemento finitos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação da uniformidade em microaspersor autocompensante Naandan 2002 utilizando água com alto teor de ferro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Oficina terapêutica e um caso de alcoolismo

Pós-graduação em Psicologia - FCLAS

Um sistema de apoio a decisão utilizado no planejamento e controle de produção de uma empresa aeronaútica: Reinaldo de Almeida. -

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Localização de falhas em linhas de transmissão utilizando decomposição harmônica e redes neurais artificiais

Este trabalho propõe a utilização de uma nova metodologia para a localização de falhas em linhas de transmissão (LT). Esta metodologia consiste na utilização da decomposição harmônica da corrente de fuga de uma linha e na aplicação de uma Rede Neural Artificial (RNA) capaz de distinguir padrões da condição normal de funcionamento e padrões de situações de falhas de uma LT. Foi utilizado um modelo Pi capaz de absorver dados reais de tensão e corrente de três fases e de alterar valores de R, L e C segundo modificações ambientais. Neste modelo foram geradas falhas em todas as torres com diferentes valores de capacitância. A saída fornecida pelo modelo é a decomposição da corrente de fuga do trecho considerado. Os dados de entrada e saída do modelo foram utilizados no treinamento da RNA desenvolvida. A aquisição de dados reais de tensão e corrente foi feita através de analisadores de parâmetros de qualidade de energia elétrica instalados nas extremidades de um trecho de LT, Guamá-Utinga, pertencente à Centrais Elétricas do Norte do Brasil ELETRONORTE. O cálculo dos parâmetros construtivos foi feito através do método matricial e melhorado através da utilização do Método de Elementos Finitos (MEF). A RNA foi desenvolvida com o auxílio do software Matlab. Para treinamento da RNA foi utilizado o algoritmo de Retropropagação Resiliente que apresentou um bom desempenho. A RNA foi treinada com dois conjuntos de dados de treinamento para analisar possíveis diferenças entre as saídas fornecidas pelos dois grupos. Nos dois casos apresentou resultados satisfatórios, possibilitando a localização de falhas no trecho considerado.