An implicit BEM formulation to model strong discontinuities in solids

A boundary element method (BEM) formulation to predict the behavior of solids exhibiting displacement (strong) discontinuity is presented. In this formulation, the effects of the displacement jump of a discontinuity interface embedded in an internal cell are reproduced by an equivalent strain field over the cell. To compute the stresses, this equivalent strain field is assumed as the inelastic part of the total strain. As a consequence, the non-linear BEM integral equations that result from the proposed approach are similar to those of the implicit BEM based on initial strains. Since discontinuity interfaces can be introduced inside the cell independently on the cell boundaries, the proposed BEM formulation, combined with a tracking scheme to trace the discontinuity path during the analysis, allows for arbitrary discontinuity propagation using a fixed mesh. A simple technique to track the crack path is outlined. This technique is based on the construction of a polygonal line formed by segments inside the cells, in which the assumed failure criterion is reached. Two experimental concrete fracture tests were analyzed to assess the performance of the proposed formulation.

Determination of weathering rate of the Morro do Ferro Th-REEs deposit, Brazil using U-isotope method

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift

Concept drift is a problem of increasing importance in machine learning and data mining. Data sets under analysis are no longer only static databases, but also data streams in which concepts and data distributions may not be stable over time. However, most learning algorithms produced so far are based on the assumption that data comes from a fixed distribution, so they are not suitable to handle concept drifts. Moreover, some concept drifts applications requires fast response, which means an algorithm must always be (re) trained with the latest available data. But the process of labeling data is usually expensive and/or time consuming when compared to unlabeled data acquisition, thus only a small fraction of the incoming data may be effectively labeled. Semi-supervised learning methods may help in this scenario, as they use both labeled and unlabeled data in the training process. However, most of them are also based on the assumption that the data is static. Therefore, semi-supervised learning with concept drifts is still an open challenge in machine learning. Recently, a particle competition and cooperation approach was used to realize graph-based semi-supervised learning from static data. In this paper, we extend that approach to handle data streams and concept drift. The result is a passive algorithm using a single classifier, which naturally adapts to concept changes, without any explicit drift detection mechanism. Its built-in mechanisms provide a natural way of learning from new data, gradually forgetting older knowledge as older labeled data items became less influent on the classification of newer data items. Some computer simulation are presented, showing the effectiveness of the proposed method.

A Semi-Continuous Analyzer for the Fluorimetric Determination of Atmospheric Formaldehyde

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

In vitro propagation of Maytenus ilicifolia (Celastraceae) as potential source for antitumoral and antioxidant quinomethide triterpenes production. A rapid quantitative method for their analysis by reverse-phase high-performance liquid chromatography

Cell culture of Maytenus ilicifolia were established in order to produce and to quantify the antitumoral and antioxidant quinonemethide triterpenes. In vitro calli were induced from leaf explants of native plants and cultured in semi-solid medium under controlled conditions of humidity, temperature and photoperiod. The quinonemethide triterpenes showed maximum accumulation in the logarithmic phase growth of the cell culture. A rapid, sensitive and reliable reverse-phase HPLC method was used for quantitative determination of the antitumoral and antioxidant quinonemethide triterpenes, 22β-hydroxymaytenin and maytenin in callus of Maytenus ilicifolia. Well resolved peaks with good detection response and linearity in the range 1.0 - 100 μg/mL were obtained. This quantitative work was performed by an external standard method.

Extração semi-automática de rodovias em um par de imagens aéreas digitais utilizando geometria epipolar e programação dinâmica

The purpose of this paper is to introduce a methodology for semi-automatic road extraction from aerial digital image pairs by using dynamic programming and epipolar geometry. The method uses both images from where each road feature pair is extracted. The operator identifies the corresponding road featuresand s/he selects sparse seed points along them. After all road pairs have been extracted, epipolar geometry is applied to determine the automatic point-to-point correspondence between each correspondent feature. Finally, each correspondent road pair is georeferenced by photogrammetric intersection. Experiments were made with rural aerial images. The results led to the conclusion that the methodology is robust and efficient, even in the presence of shadows of trees and buildings or other irregularities.

Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning

Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate wrong labels to a large portion or even the entire data set. This paper aims to address this problem by presenting a graph-based (network-based) semi-supervised learning method, specifically designed to handle data sets with mislabeled samples. The method uses teams of walking particles, with competitive and cooperative behavior, for label propagation in the network constructed from the input data set. The proposed model is nature-inspired and it incorporates some features to make it robust to a considerable amount of mislabeled data items. Computer simulations show the performance of the method in the presence of different percentage of mislabeled data, in networks of different sizes and average node degree. Importantly, these simulations reveals the existence of the critical points of the mislabeled subset size, below which the network is free of wrong label contamination, but above which the mislabeled samples start to propagate their labels to the rest of the network. Moreover, numerical comparisons have been made among the proposed method and other representative graph-based semi-supervised learning methods using both artificial and real-world data sets. Interestingly, the proposed method has increasing better performance than the others as the percentage of mislabeled samples is getting larger. © 2012 IEEE.

Digestibilidade da soja semi-integral extrusada para leitões na fase inicial

Two assays were conducted to determine the coefficients of digestibility (CD) and the digestible nutrients (DN) of the extruded semi-whole soybean (Assay 1 conventional feeding and Assay 2 feeding for sows, starting at 109 days of pregnancy and during the lactation and for lactating piglets and in the initial phase, with rations without soybean meal). Each assay was divided into two phases (32 and 50 days of age). Eight piglets weaned at 25 days of age were used. Total feces collection method was used. The following variables were analyzed in feed and in feces: dry matter, crude protein, ether extract, crude fiber and gross energy. The following average values were obtained: CDDM 88.87%; CDCP 86.81%; CDEE 85.41%; CDCF 78.22%; CDGE 80.21% and CMDE 95.71%, which allowed the calculation of the digestible nutrients: DDM 81.28%; DP 34.49%; DEE 14.02%; DF 4.49%; DEa 4087.86 kcal/kg and MEa 3912.73 kcal/kg. The different coefficients of digestibility were not affected by the differential feeding for sows and piglets nor by the different ages of the animals. Moreover, the extruded semi-whole soybean presented good levels of DN, concerning mainly the digestible and metabolizable energy.

Numerical assessment of mass conservation on a MAC-type method for viscoelastic free surface flows

A numerical study of mass conservation of MAC-type methods is presented, for viscoelastic free-surface flows. We use an implicit formulation which allows for greater time steps, and therefore time marching schemes for advecting the free surface marker particles have to be accurate in order to preserve the good mass conservation properties of this methodology. We then present an improvement by using a Runge-Kutta scheme coupled with a local linear extrapolation on the free surface. A thorough study of the viscoelastic impacting drop problem, for both Oldroyd-B and XPP fluid models, is presented, investigating the influence of timestep, grid spacing and other model parameters to the overall mass conservation of the method. Furthermore, an unsteady fountain flow is also simulated to illustrate the low mass conservation error obtained.

Eigenvalue analyses for non-transposed three-phase transmission line considering non-implicit ground wires

This paper presents a method for analyzing electromagnetic transients using real transformation matrices in three-phase systems considering the presence of ground wires. So, for the Z and Y matrices that represent the transmission line, the characteristics of ground wires are not implied in the values related to the phases. A first approach uses a real transformation matrix for the entire frequency range considered in this case. This transformation matrix is an approximation to the exact transformation matrix. For those elements related to the phases of the considered system, the transformation matrix is composed of the elements of Clarke's matrix. In part related to the ground wires, the elements of the transformation matrix must establish a relationship with the elements of the phases considering the establishment of a single homopolar reference in the mode domain. In the case of three-phase lines with the presence of two ground wires, it is unable to get the full diagonalization of the matrices Z and Y in the mode domain. This leads to the second proposal for the composition of real transformation matrix: obtain such transformation matrix from the multiplication of two real and constant matrices. In this case, the inclusion of a second matrix had the objective to minimize errors from the first proposal for the composition of the transformation matrix mentioned. © 2012 IEEE.

Use of algorithms for semi-automatic quantification of pulmonary fibrosis and emphysema

Obtaining a semi-automatic quantification of pathologies found in the lung, through images of high resolution computed tomography (HRCT), is of great importance to aid in medical diagnosis. Paraccocidioidomycosis (PCM) is a systemic disease that affects the lung and even after effective treatment leaves sequels such as pulmonary fibrosis and emphysema. It is very important to the area of tropical diseases that the lung injury be quantified more accurately. In this stud, we propose the development of algorithms in computational environment Matlab® able to objectively quantify lung diseases such as fibrosis and emphysema. The program consists in selecting the region of interest (ROI), and through the use of density masks and filters, obtaining the lesion area quantification in relation to the healthy area of the lung. The proposed method was tested on 15 exams of HRCT of patients with confirmed PCM. To prove the validity and effectiveness of the method, we used a virtual phantom, also developed in this research. © 2013 Springer-Verlag.

Extração semi-automática do eixo de rodovia em imagens de média e alta resolução usando programação dinâmica

Pós-graduação em Ciências Cartográficas - FCT

Efeito da terapia periodontal na microbiota subgengival: parâmetros clínicos e microbiológicos comparativos de PCR semi quantitativo e PCR em tempo real

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Reconhecimento semi-automático de sinus frontais para identificação humana forense baseado na transformada imagem-floresta e no contexto da forma

Pós-graduação em Ciência da Computação - IBILCE

Caracterização química e físico-química e estudos preliminares de planejamento da formulação fitoterápica semi-sólida contendo tintura de Calendula officinalis L.

A fitoterapia constitui uma forma de terapia medicinal que vem crescendo visivelmente ao longo dos anos, no entanto, apesar da extensa utilização dos fitoterápicos, a qualidade destes medicamentos muitas vezes é deficiente e questionável. Dentre as plantas medicinais mais empregadas como fitoterápicos, temos a Calendula officinalis L.(Asteraceae), utilizada pelos seus efeitos antiinflamatórios, antisépticos e cicatrizantes. Sendo assim, o presente estudo objetivou aprimorar e consolidar o emprego de metodologias de tecnologia farmacêutica na área de desenvolvimento de fitoterápicos, por meio da realização de estudos preliminares do planejamento/pré-formulação de uma formulação fitoterápica semi-sólida contendo tintura de C. officinalis L., visando o controle de qualidade das etapas do seu desenvolvimento. Na caracterização física e físico-química do pó e da tintura de calêndula foi possível obter especificações farmacognósticas condizentes com as da literatura, além de constatar a identidade do material vegetal através da detecção do marcador químico rutina por CCD. Por meio da validação do método, que apresentou parâmetros recomendados pela legislação vigente, foram determinados 463 μg/mL de rutina na tintura. Os espectros obtidos na região do infravermelho (IV) mostraram bandas características da rutina no extrato liofilizado, além de demonstrar a permanência dessas bandas após sua mistura com os excipientes da formulação. As técnicas termoanalíticas confirmaram a compatibilidade entre os excipientes e o extrato liofilizado de calêndula. Na avaliação da estabilidade preliminar do gel, a formulação permaneceu estável durante a realização dos ciclos em estufa (45 2 0C) e temperatura ambiente (25 2 0C). No estudo preliminar da permeação, o gel apresentou tendência para favorecer a permeação dos flavonóides totais expresso em rutina para a fase receptora. Estes resultados demonstram a importância do emprego de protocolos de controle de qualidade das matérias primas vegetais, além do estabelecimento de metodologias tecnológicas para a produção de fitoterápicos.