12 resultados para Máquina do Mundo (Worlds Machine)

em Repositório da Produção Científica e Intelectual da Unicamp


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PURPOSE: To evaluate the sensitivity and specificity of machine learning classifiers (MLCs) for glaucoma diagnosis using Spectral Domain OCT (SD-OCT) and standard automated perimetry (SAP). METHODS: Observational cross-sectional study. Sixty two glaucoma patients and 48 healthy individuals were included. All patients underwent a complete ophthalmologic examination, achromatic standard automated perimetry (SAP) and retinal nerve fiber layer (RNFL) imaging with SD-OCT (Cirrus HD-OCT; Carl Zeiss Meditec Inc., Dublin, California). Receiver operating characteristic (ROC) curves were obtained for all SD-OCT parameters and global indices of SAP. Subsequently, the following MLCs were tested using parameters from the SD-OCT and SAP: Bagging (BAG), Naive-Bayes (NB), Multilayer Perceptron (MLP), Radial Basis Function (RBF), Random Forest (RAN), Ensemble Selection (ENS), Classification Tree (CTREE), Ada Boost M1(ADA),Support Vector Machine Linear (SVML) and Support Vector Machine Gaussian (SVMG). Areas under the receiver operating characteristic curves (aROC) obtained for isolated SAP and OCT parameters were compared with MLCs using OCT+SAP data. RESULTS: Combining OCT and SAP data, MLCs' aROCs varied from 0.777(CTREE) to 0.946 (RAN).The best OCT+SAP aROC obtained with RAN (0.946) was significantly larger the best single OCT parameter (p<0.05), but was not significantly different from the aROC obtained with the best single SAP parameter (p=0.19). CONCLUSION: Machine learning classifiers trained on OCT and SAP data can successfully discriminate between healthy and glaucomatous eyes. The combination of OCT and SAP measurements improved the diagnostic accuracy compared with OCT data alone.

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Sugarcane holds an important place in the Brazilian economy. Grate part of the sugarcane harvested still accomplished largely manually. Sugarcane harvesters available in Brazil use the technology to chop the cane into 200 to 300 mm billets to allow on the go cane transferring to transport, contradicting the traditional method of whole stalk sugarcane harvesting system. In order to make whole stalk mechanical harvesting system possible, one of the barriers to be expired is the mechanical removal of the straw. The design of a mechanism that accomplishes this operation depends directly on the knowledge of the mechanical properties of the sugarcane related to its resistance to compression and the forces necessary to remove the leaves from the stalk. Compression tests were conducted using the universal testing machine. For leaves removal test by friction, a special apparatus was designed to allow the registration of the normal and traction force. The sugarcane stalk can resist up to 4.9 MPa. With a normal pressure of 0.8 MPa, which correspond to a friction force of 315 N, it is possible to remove the leaves, independent of its location in the sugarcane stalk.

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Cardboard packing for horticultural products has as main function to protect them. The design of a cardboard packing request the knowledge of the bending stiffens which is depending on the modulus of elasticity. The objective of this work was to calculate the cardboard modulus of elasticity from data obtained in laboratory using physical characterization test, with different methods, and comparing the results with the values obtained experimentally. Ten samples of each cardboard selected for this study were tested in the paper fabrication direction and in its transverse direction. The papers liner and medium resistance to the traction, used to calculate the bending stiffness, was determined in a universal machine test. To obtaining of the bending stiffens the four points test was accomplished. Expressive variations among the methods from which the modulus of elasticity is obtained were observed and that influence the bending stiffness of the structure. The stiffness values obtained experimentally were always greater than the values obtained from analytical method. This difference can be attributed to two factors, the production processes that assurance a larger rigidity than the components separately and the addition of the adhesive layer that is not taken in consideration in the analytic calculations.

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The present work aimed to create a methodology to evaluate the pulverization process with the use of quality tools. It was listed the primary factors, secondary factors, tertiary factors and, with the check list tool support, the list was elaborated. It was evaluated the factors labor, agriculture machine, material and method of 32 pulverization process before pesticide application, in that each factor received a punctuation, having as total sum of 750 points. The medium punctuation to the factors labor, agriculture machine, material and method was 78; 211; 49; 20 and 94 points, respectively. The sum of the factors points for the 32 processes, the minimum value found was 230 and maximum was 620 points. With the proposed methodology, can be identify which common causes of the processes can affect its result.

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas. Faculdade de Educação Física

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Universidade Estadual de Campinas. Faculdade de Educação Física

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas . Faculdade de Educação Física