Influência do tamanho de parcelas experimentais na seleção de progênies de E. camaldulensis Dehnh.

Processo de seleção de sistemas integrados: possibilidades de modelagem com base na análise de decisões

Desenvolvimento de um sistema de análise de imagem para quantificação do tamanho e distribuição de partículas de desgaste

This paper describes the development of an image analysis system for wear particles found in industrial equipment lubricating oil. Hence, it was utilized an image acquisition system to capture image samples of the oil held in filter membranes. An analytical methodology was also developed to classify the particles quantitatively and qualitatively, relating them to the wear mode where they had be...

Uso de Algoritmos Genéticos na Seleção de Atributos para Classificação de Regiões

The technological advances about remote sensing allows a better identification of urban targets in the images. The aim of this work is to classify automatically the urban spaces applying feature extraction and selection techniques, in high resolution images. To classify the road network and others urban components, some shape features that permit to recognize different objects with analogous sp...

Arcabouço para seleção de indicadores de desempenho para a busca e seleção de parceiros para organizações virtuais

In the current dynamic world where organizations are inserted in, there is no time to postpone ideas or businesses, even less to lose them, due to the lack of support that helps them in a fast connection establishment to form groups of organizations prepared to work collaboratively. Issues related to this subject have been addressed by the research field called “Collaborative Networked Organiza...

Seleção Automática de Casos de Teste de Regressão Baseada em Similaridade e Valores

Selective retesting techniques based on modifications may select redundant test cases as well as exclude important test cases that exercise critical flows that are not covered by the modifications. To handle this problem, this work presents a new technique based on modifications that consider the value of each test case and the similarity among the test cases in order to select the most importa...