An Intelligent System for Petroleum Well Drilling Cutting Analysis

Cutting analysis is a important and crucial task task to detect and prevent problems during the petroleum well drilling process. Several studies have been developed for drilling inspection, but none of them takes care about analysing the generated cutting at the vibrating shale shakers. Here we proposed a system to analyse the cutting's concentration at the vibrating shale shakers, which can indicate problems during the petroleum well drilling process, such that the collapse of the well borehole walls. Cutting's images are acquired and sent to the data analysis module, which has as the main goal to extract features and to classify frames according to one of three previously classes of cutting's volume. A collection of supervised classifiers were applied in order to allow comparisons about their accuracy and efficiency. We used the Optimum-Path Forest (OPF), Artificial Neural Network using Multi layer Perceptrons (ANN-MLP), Support Vector Machines (SVM) and a Bayesian Classifier (BC) for this task. The first one outperformed all the remaining classifiers. Recall that we are also the first to introduce the OPF classifier in this field of knowledge. Very good results show the robustness of the proposed system, which can be also integrated with other commonly system (Mud-Logging) in order to improve the last one's efficiency.

Ser(Tão) Seridó em suas cartografias espaciais

The aim of this work is to analyze the spatial frames of reference of the Seridó a region Iocated in the hinterlands of Rio Grande do Norte state from the following texts: Homens de Outrora (1941), by Manuel Dantas; Seridó (1954), by José Augusto Bezerra de Medeiros; Velhos Costumes do Meu Sertão (1965), by Juvenal Lamartine de Faria; and Sertões do Seridó (1980), by Oswaldo Lamartine de Faria. The historiographical discourse will be investigated as to representations of space and the frames of reference that demarcate it. We highlight the space of 1 as delimited by the subjectivity and significances expressed by each author, considering closely the relation between author, writing and body, either in historiography or in the subjects that give shape to the Seridó region in their writings. The Seridó is particularly framed in the relevant historiography as the hinterland (sertão) space, where the drought is a representation referred to recurrently, and as a space of fight , in which man and nature would be in constant struggle, challenging each other. Spatial frames of reference are then situated between the 1 and notions of hinterland and fight with nature

Expressão Imuno-histoquímica de COX-2, EMMPRIN, HIF-1α e GLUT-1 no tecido gengival normal e inflamado

The aim of this study was determine whether an association exists in the gum tissue between the expression of markers of tissue hypoxia (HIF-1α and GLUT-1) with a marker of inflammatory activity (COX-2) and a marker of collagen degradation (EMMPRIN). Was performed immunohistochemistry with antibodies specific for these markers on 60 samples of gingival tissue divided into two groups: gums (n = 26) and gingivitis (n = 34) and expression was analyzed in the epithelial tissue and connective tissue . The reactivity epithelial for COX-2 was observed in only two cases as the HIF-1α, GLUT-1 and EMMPRIN was strongly expressed in the epithelial basal layer and the immunostaining was gradually decreased as the cells away from this layer, and negative in the region suprabasal in most specimens. In connective tissue, and HIF-1α EMMPRIN were strongly positive for most cases analyzed as GLUT-1 was negative in most cases. Immunostaining for COX-2 showed an association with gingival inflammatory infiltrate. The expression of EMMPRIN, HIF-1α and GLUT-1 in normal gums confirms the physiological role of these markers, however there was no association with tissue inflammation. Given the findings we can conclude that the inflammatory changes installed in frames of chronic gingivitis may not be sufficient to activate the factors of hypoxia to levels that can be quantified by immunohistochemical analysis, in addition, the findings are not conclusive in relationship to involvement of EMMPRIN in the secretion of MMPs to degrade collagen in the frames of gingivitis. We suggest the use of technical analysis and quantification of RNA of EMMPRIN and MMPs in order to determine whether collagen degradation observed in gingivitis suffers or not, significant influence of EMMPRIN for secretion and activation of MMPs

Fractography analysis and fatigue strength of carbon fiber/RTM6 laminates

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Carbon fiber non-crimp multi-axial reinforcement and epoxy mono-component system composite: fatigue behavior

Fiber reinforced polymer composites have been widely applied in the aeronautical field. However, composite processing, which uses unlocked molds, should be avoided in view of the tight requirements and also due to possible environmental contamination. To produce high performance structural frames meeting aeronautical reproducibility and low cost criteria, the Brazilian industry has shown interest to investigate the resin transfer molding process (RTM) considering being a closed-mold pressure injection system which allows faster gel and cure times. Due to the fibrous composite anisotropic and non homogeneity characteristics, the fatigue behavior is a complex phenomenon quite different from to metals materials crucial to be investigated considering the aeronautical application. Fatigue sub-scale specimens of intermediate modulus carbon fiber non-crimp multi-axial reinforcement and epoxy mono-component system composite were produced according to the ASTM 3039 D. Axial fatigue tests were carried out according to ASTM D 3479. A sinusoidal load of 10 Hz frequency and load ratio R = 0.1. It was observed a high fatigue interval obtained for NCF/RTM6 composites. Weibull statistical analysis was applied to describe the failure probability of materials under cyclic loads and fractures pattern was observed by scanning electron microscopy. (C) 2010 Published by Elsevier Ltd.

Numerical Experimental Comparison of Dam Break Flows with non-Newtonian Fluids

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Desempenho de escolares de 1ª série na bateria de identificação de erros de reversão e inversão na escrita: estudo preliminar

OBJETIVO: caracterizar o desempenho de escolares da 1ª série na bateria de identificação de erros de reversão e inversão na escrita. MÉTODOS: participaram deste estudo 30 escolares de 1ª série de ensino público do município da cidade de Marília-SP, de ambos os gêneros, na faixa etária de 7 anos a 7 anos e 11 meses de idade. Como procedimento foi realizada a adaptação brasileira da bateria de identificação dos erros de reversão e inversão na escrita. Esta bateria é composta por 3 testes: teste de desempenho contínuo, teste de memória de curto prazo e teste de controle de escrita. Cada teste é composto por subtestes que visam identificar a capacidade dos escolares em identificar as inversões e reversões de letras e números isolados e letras e números em sequências. RESULTADOS: os resultados revelaram que os escolares da 1ª série apresentaram desempenho superior para identificação de reversão e inversão de letras dentro de palavras do que isoladamente, identificação da reversão para letras e números com desempenho superior se comparado a inversão de letras na palavra. Além disso, os escolares deste estudo apresentaram menor tempo para identificação de reversão e inversão de letras e números isolados do que em sequência. CONCLUSÃO: a Bateria adaptada para este estudo permitiu conhecer o perfil dos escolares de 1ª série quanto a identificação dos erros de inversão e reversão, entretanto, é necessário novas aplicações para verificar a ocorrência de identificação destes erros em populações de diferentes fase de alfabetização.

Implementação Hardware/Software da estimação de movimento segundo o padrão H.264

Motion estimation is the main responsible for data reduction in digital video encoding. It is also the most computational damanding step. H.264 is the newest standard for video compression and was planned to double the compression ratio achievied by previous standards. It was developed by the ITU-T Video Coding Experts Group (VCEG) together with the ISO/IEC Moving Picture Experts Group (MPEG) as the product of a partnership effort known as the Joint Video Team (JVT). H.264 presents novelties that improve the motion estimation efficiency, such as the adoption of variable block-size, quarter pixel precision and multiple reference frames. This work defines an architecture for motion estimation in hardware/software, using a full search algorithm, variable block-size and mode decision. This work consider the use of reconfigurable devices, soft-processors and development tools for embedded systems such as Quartus II, SOPC Builder, Nios II and ModelSim

Segmentação Fuzzy de Texturas e Vídeos

The segmentation of an image aims to subdivide it into constituent regions or objects that have some relevant semantic content. This subdivision can also be applied to videos. However, in these cases, the objects appear in various frames that compose the videos. The task of segmenting an image becomes more complex when they are composed of objects that are defined by textural features, where the color information alone is not a good descriptor of the image. Fuzzy Segmentation is a region-growing segmentation algorithm that uses affinity functions in order to assign to each element in an image a grade of membership for each object (between 0 and 1). This work presents a modification of the Fuzzy Segmentation algorithm, for the purpose of improving the temporal and spatial complexity. The algorithm was adapted to segmenting color videos, treating them as 3D volume. In order to perform segmentation in videos, conventional color model or a hybrid model obtained by a method for choosing the best channels were used. The Fuzzy Segmentation algorithm was also applied to texture segmentation by using adaptive affinity functions defined for each object texture. Two types of affinity functions were used, one defined using the normal (or Gaussian) probability distribution and the other using the Skew Divergence. This latter, a Kullback-Leibler Divergence variation, is a measure of the difference between two probability distributions. Finally, the algorithm was tested in somes videos and also in texture mosaic images composed by images of the Brodatz album

Segmentação fuzzy de imagens e vídeos

Image segmentation is the process of subdiving an image into constituent regions or objects that have similar features. In video segmentation, more than subdividing the frames in object that have similar features, there is a consistency requirement among segmentations of successive frames of the video. Fuzzy segmentation is a region growing technique that assigns to each element in an image (which may have been corrupted by noise and/or shading) a grade of membership between 0 and 1 to an object. In this work we present an application that uses a fuzzy segmentation algorithm to identify and select particles in micrographs and an extension of the algorithm to perform video segmentation. Here, we treat a video shot is treated as a three-dimensional volume with different z slices being occupied by different frames of the video shot. The volume is interactively segmented based on selected seed elements, that will determine the affinity functions based on their motion and color properties. The color information can be extracted from a specific color space or from three channels of a set of color models that are selected based on the correlation of the information from all channels. The motion information is provided into the form of dense optical flows maps. Finally, segmentation of real and synthetic videos and their application in a non-photorealistic rendering (NPR) toll are presented