Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials

The automatic characterization of particles in metallographic images has been paramount, mainly because of the importance of quantifying such microstructures in order to assess the mechanical properties of materials common used in industry. This automated characterization may avoid problems related with fatigue and possible measurement errors. In this paper, computer techniques are used and assessed towards the accomplishment of this crucial industrial goal in an efficient and robust manner. Hence, the use of the most actively pursued machine learning classification techniques. In particularity, Support Vector Machine, Bayesian and Optimum-Path Forest based classifiers, and also the Otsu's method, which is commonly used in computer imaging to binarize automatically simply images and used here to demonstrated the need for more complex methods, are evaluated in the characterization of graphite particles in metallographic images. The statistical based analysis performed confirmed that these computer techniques are efficient solutions to accomplish the aimed characterization. Additionally, the Optimum-Path Forest based classifier demonstrated an overall superior performance, both in terms of accuracy and speed. © 2012 Elsevier Ltd. All rights reserved.

Mechanisms of SnO2 Nanoparticles Formation and Growth in Acid Ethanol Solution Derived from SAXS and Combined Raman-XAS Time-Resolved Studies

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Zirconium-methacrylate oxoclusters as new hybrid materials for the modification of epoxy systems

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Development of an anti aging cream with AHA/BHA and sunscreens

The skin aging is a matter of discomfort verified in the population. Thus, every day, new products are launched on the market to offer different manners to prevent the premature aging of the skin. In this context, active substances, as alpha and beta hidroxyacids (AHA/BHA), beyond the sunscreens, are considered a way of prevention and amelioration of the effects caused in the skin due to the time. The aim of this study was to develop and evaluate a cosmetic cream containing AHA/BHA and sunscreen. It was studied in relation to its physical-chemical and microbiological characteristics. According to the results, the formulation developed present a shelf life of 758 days and the preservative system was effective. Considering the parameters evaluated, the cream probably would be commercially accepted.

Development of an anti-aging cream with AHA/BHA and sunscreens

The skin aging is a matter of discomfort verified in the population. Thus, every day, new products are launched on the market to offer different manners to prevent the premature aging of the skin. In this context, active substances, as alpha and beta hidroxyacids (AHA/BHA), beyond the sunscreens, are considered a way of prevention and amelioration of the effects caused in the skin due to the time. The aim of this study was to develop and evaluate a cosmetic cream containing AHA/BHA and sunscreen. It was studied in relation to its physical-chemical and microbiological characteristics. According to the results, the formulation developed present a shelf life of 758 days and the preservative system was effective. Considering the parameters evaluated, the cream probably would be commercially accepted.