Morfologia matemática aplicada à detecção de sombras e nuvens em imagens de alta resolução

The spatial resolution improvement of orbital sensors has broadened considerably the applicability of their images in solving urban areas problems. But as the spatial resolution improves, the shadows become even a more serious problem especially when detailed information (under the shadows) is required. Besides those shadows caused by buildings and houses, clouds projected shadows are likely to occur. In this case there is information occlusion by the cloud in association with low illumination and contrast areas caused by the cloud shadow on the ground. Thus, it's important to use efficient methods to detect shadows and clouds areas in digital images taking in count that these areas care for especial processing. This paper proposes the application of Mathematical Morphology (MM) in shadow and clouds detection. Two parts of a panchromatic QuickBird image of Cuiab-MT urban area were used. The proposed method takes advantage of the fact that shadows (low intensity - dark areas) and clouds (high intensity - bright areas) represent the bottom and top, respectively, of the image as it is thought to be a topographic surface. This characteristic allowed MM area opening and closing operations to be applied to reduce or eliminate the bottom and top of the topographic surface.

Modelagem matemática aplicada ao controle biológico de Ceratitis capitata Wiedemann (Diptera: Tephritidae) por Diachasmimorpha longicaudata Ashmed (Hymenoptera: Braconidae) em Citrus

O modelo matemático apresentado tem como objetivos: (1) simular as dinâmicas populacionais de um sistema hospedeiro parasitóide de três níveis tróficos composto pelas populações de mosca-do-mediterrâneo Ceratitis capitata (Wiedemann), vespa braconídea parasitóide Diachasmimorpha longicaudata (Ashmed) e frutos cítricos; (2) auxiliar no melhor entendimento dos principais fatores biológicos e ecológicos que regem as interações populacionais e (3) colaborar com programas mais eficientes de controle biológico para o sistema em questão. A metodologia empregada baseou-se na formulação de sistemas de equações de diferenças que descrevessem os processos de interação do sistema trófico. Posteriormente, foram elaboradas resoluções numéricas desses sistemas de equações e sua representação gráfica, utilizando-se o programa computacional Matlab, versão 6.1. Os dados biológicos e ecológicos necessários para a formulação das equações matemáticas foram fornecidos por especialistas em controle de C. capitata e retirados da literatura referente ao controle biológico das moscas-das-frutas em plantações de citros no Brasil, principalmente através da utilização de vespas parasitóides, como D. longicaudata. Os resultados obtidos nas simulações sugerem que o modelo proposto descreve adequadamente o sistema ecológico em questão e permite entender melhor suas principais características biológicas e ecológicas. em conseqüência pode auxiliar na escolha do modo e momento para liberação da vespa parasitóide para o controle mais efetivo de C. capitata.

O papel do vídeo nas aulas multimodais de matemática aplicada: uma análise do ponto de vista dos alunos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Modelagem matemática aplicada a precificação de opções

The mathematical models are critical to determine theoretical prices of options and analyze whether they are overrated or underrated. This information strongly influence in operations carried out by the investor. Therefore, it is necessary that the employee model present high degree of reliability and be consistent with the reality of investment to which it is intended. In this sense, this dissertation aims to apply the steps of mathematical modeling in the Pricing of options for decision making in the investment of a hydroelectric power plant. Was used a Monte Carlo simulation, with the Latin Hypercube Method, to determine the volatility of returns of the project. In order to validate the proposed model, compared to the results found by the Binomial Model, which is one of the models most used in this type of investment. The results reinforce the hypothesis that the mathematical modeling with the Binomial Model is critical to investment decision-making in hydroelectric power

O processo de escolha dos temas dos projetos de modelagem matemática

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

O papel das tecnologias da informação e comunicação nos projetos de modelagem matemática

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A matemática é feminina? Um estudo histórico da presença da mulher em institutos de pesquisa em matemática do estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relaxação Lagrangiana Aplicada ao Problema de Dimensionamento de Lotes em Máquinas Paralelas: Limitantes Inferiores

This paper addresses the single stage lot-sizing problem in parallel machines. Each item can be produced on any machine, and incurs a setup time before to start the production. The objective of this paper is to obtain lower bounds of good quality for this problem. A solution method is developed based on a reformulation of the problem and the Lagrangian relaxation of a set of constraints. Some computational results are presented comparing the proposed method with a method from the literature and with a computational package.

Aplicação da modelagem matemática no estudo de funções: uma proposta de atividade para as Escolas de Tempo Integral (ETI)

Pós-graduação em Matemática em Rede Nacional - IBILCE

Matemática e estatística aplicadas a gestão da qualidadade nos cursos de Engenharia de Produção no Brasil: um contraponto entre a formação e o mercado de trabalho

Pós-graduação em Educação Matemática - IGCE

The Poisson-exponential regression model under different latent activation schemes

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Arithmetic fuchsian groups and space time block codes

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

Simulation results and applications of an advection bounded scheme to practical flows

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

Edge detection and noise removal by use of a partial differential equation with automatic selection of parameters

This work deals with noise removal by the use of an edge preserving method whose parameters are automatically estimated, for any application, by simply providing information about the standard deviation noise level we wish to eliminate. The desired noiseless image u(x), in a Partial Differential Equation based model, can be viewed as the solution of an evolutionary differential equation u t(x) = F(u xx, u x, u, x, t) which means that the true solution will be reached when t ® ¥. In practical applications we should stop the time ''t'' at some moment during this evolutionary process. This work presents a sufficient condition, related to time t and to the standard deviation s of the noise we desire to remove, which gives a constant T such that u(x, T) is a good approximation of u(x). The approach here focused on edge preservation during the noise elimination process as its main characteristic. The balance between edge points and interior points is carried out by a function g which depends on the initial noisy image u(x, t0), the standard deviation of the noise we want to eliminate and a constant k. The k parameter estimation is also presented in this work therefore making, the proposed model automatic. The model's feasibility and the choice of the optimal time scale is evident through out the various experimental results.

A transmission problem for the Timoshenko system

In this work we study a transmission problem for the model of beams developed by S.P. Timoshenko [10]. We consider the case of mixed material, that is, a part of the beam has friction and the other is purely elastic. We show that for this type of material, the dissipation produced by the frictional part is strong enough to produce exponential decay of the solution, no matter how small is its size. We use the method of energy to prove exponential decay for the solution.