475 resultados para Blanco, Guillermo P., 1918-2012
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Titanochrysa Sosa & Freitas is a new genus of Neotropical Chrysopini (Chrysopidae: Chrysopinae) recorded from Costa Rica, Venezuela and Brazil. Titanochrysa gen. nov. shares several external and genitalic characters with Ceraeochrysa Adams, 1982; Chrysopodes Navas, 1913; Cryptochrysa Freitas & Penny, 2000; Parachrysopiella Brooks & Barnard, 1990 and Ungla Navas 1914. It may be distinguished from those genera by its very long sternite 8+9, sternites 2-8 usually with microtholi, male genitalia with the dorsal surface of the arcessus striated, gonosaccus well-developed, bearing elongate gonosetae and microsetae, and a spoon-like gonapsis. Herein, Titanochrysa circumfusa (Burmeister, 1939) [= Chrysopodes circumfusa (Burmeister)] comb. nov. and Titanochrysa pseudovaricosa (Penny) [= Ceraeochrysa pseudovaricosa Penny, 1998] comb. nov. were identified; Titanochrysa ferreirai Sosa & Freitas sp. nov. and Titanochrysa trespuntensis Sosa & Freitas sp. nov. were described. The external morphology, and male and female genitalia of all these species are described. Titanochrysa circumfusa (Burmeister, 1939) comb. nov. is recorded for the first time from Venezuela.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The results presented in this paper are based on a research about the application of approximated transformation matrices for electromagnetic transient analyses and simulations in transmission lines. Initially, it has developed the application of a single real transformation matrix for a double three-phase transmission lines, because the symmetry of the distribution of the phase conductors and the ground wires. After this, the same type of transformation matrix has applied for symmetrical single three-phase transmission lines. Analyzing asymmetrical single three-phase lines, it has used three different line configurations. For these transmission line types, the errors between the eigenvalues and the approximated results, called quasi modes, have been considered negligible. on the other hand, the quasi mode eigenvalue matrix for each case was not a diagonal one. and the relative values of the off-diagonal elements of the approximated quasi mode matrix are not negligible, mainly for the low frequencies. Based on this problem, a correction procedure has been applied for minimizing the mentioned relative values. For the correction procedure application, symmetrical and asymmetrical single three-phase transmission line samples have been used. Checking the correction procedure results, analyses and simulations have been carried out in mode and time domain. In this paper, the last results of mentioned research are presented and they related to the time domain simulations.
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We observed longitudinal single-mode operation in a distributed feedback dye laser consisting of silk fibroin films doped with Rhodamine 6G dye and infiltrated with silica or silver nanoparticles.
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Majority of biometric researchers focus on the accuracy of matching using biometrics databases, including iris databases, while the scalability and speed issues have been neglected. In the applications such as identification in airports and borders, it is critical for the identification system to have low-time response. In this paper, a graph-based framework for pattern recognition, called Optimum-Path Forest (OPF), is utilized as a classifier in a pre-developed iris recognition system. The aim of this paper is to verify the effectiveness of OPF in the field of iris recognition, and its performance for various scale iris databases. This paper investigates several classifiers, which are widely used in iris recognition papers, and the response time along with accuracy. The existing Gauss-Laguerre Wavelet based iris coding scheme, which shows perfect discrimination with rotary Hamming distance classifier, is used for iris coding. The performance of classifiers is compared using small, medium, and large scale databases. Such comparison shows that OPF has faster response for large scale database, thus performing better than more accurate but slower Bayesian classifier.