Reconhecimento de variedades de soja por meio do processamento de imagens digitais usando redes neurais artificiais

Neste trabalho, foi aplicado o processamento de imagens digitais auxiliado pelas Redes Neurais Artificiais (RNA) com a finalidade de identificar algumas variedades de soja por meio da forma e do tamanho das sementes. Foram analisadas as seguintes variedades: EMBRAPA 133, EMBRAPA 184, COODETEC 205, COODETEC 206, EMBRAPA 48, SYNGENTA 8350, FEPAGRO 10 e MONSOY 8000 RR, safra 2005/2006. O processamento das imagens foi constituído pelas seguintes etapas: 1) Aquisição da imagem: as amostras de cada variedade foram fotografadas por máquina fotográfica Coolpix995, Nikon, com resolução de 3.34 megapixels; 2) Pré-processamento: um filtro de anti-aliasing foi aplicado para obter tons acinzentados da imagem; 3) Segmentação: foi realizada a detecção das bordas das sementes (Método de Prewitt), dilatação dessas bordas e remoção de segmentos não-necessários para a análise. 4) Representação: cada semente foi representada na forma de matriz binária 130x130, e 5) Reconhecimento e interpretação: foi utilizada uma rede neural feedforward multicamadas, com três camadas ocultas. O treinamento da rede foi realizado pelo método backpropagation. A validação da RNA treinada mostrou que o processamento aplicado pode ser usado para a identificação das variedades consideradas.

Effectiveness Of Feature Detection Operators On The Performance Of Iris Biometric Recognition System

Iris Recognition is a highly efficient biometric identification system with great possibilities for future in the security systems area.Its robustness and unobtrusiveness, as opposed tomost of the currently deployed systems, make it a good candidate to replace most of thesecurity systems around. By making use of the distinctiveness of iris patterns, iris recognition systems obtain a unique mapping for each person. Identification of this person is possible by applying appropriate matching algorithm.In this paper, Daugman’s Rubber Sheet model is employed for irisnormalization and unwrapping, descriptive statistical analysis of different feature detection operators is performed, features extracted is encoded using Haar wavelets and for classification hammingdistance as a matching algorithm is used. The system was tested on the UBIRIS database. The edge detection algorithm, Canny, is found to be the best one to extract most of the iris texture. The success rate of feature detection using canny is 81%, False Accept Rate is 9% and False Reject Rate is 10%.

Identificación y descripción de las características de un líder global

El liderazgo ha sido definido de diferentes maneras por cientos de autores debido al contexto en el que estudian este concepto. Ninguna de estas definiciones es errónea pero algunas han tomado mayor importancia debido a los diferentes factores que enfrenta la sociedad. Desde hace unos años los países se han abierto a diferentes mercados lo cual les ha permitido eliminar las barreras políticas, económicas y culturales existentes. Esto ha llevado a que los líderes deban evaluar la nueva forma de dirigir y direccionar las organizaciones. Este es tan solo uno de los ejemplos que han llevado a modificar el concepto de liderazgo, añadiendo los nuevos retos a los que se ven enfrentados los líderes. En este trabajo de grado se estudia el que se considera uno de los mayores retos de los siglos XX y XXI: la globalización. Este fenómeno ha acercado al mundo a través del intercambio de información, de bienes, de servicios, de conocimientos y sobre todo de cultura. Esto se ha logrado a través de nuevas tecnologías, nuevos servicios de comunicación y transporte, de la ciencia y los avances de la industria. El nuevo líder debe romper la barrera nacional y abrirse a mercados extranjeros, para esto debe contar con ciertas características que le permitirán entender los diferentes mercados y a las personas que se encuentran en este. En este trabajo se identifican las que se consideran las principales características de un líder global; estas son el resultado de la investigación de diferentes autores y estudios.

Índice de adiposidad corporal como predictor de obesidad y de síndrome metabólico en adultos de Bogotá, Colombia

Recientemente, Bergman et al. desarrollaron el índice de adiposidad corporal (IAC), como un marcador de obesidad por exceso de grasa corporal en la práctica clínica. En este estudio se evaluó la validez del IAC como marcador de obesidad por exceso de adiposidad, además de examinar la capacidad predictiva del IAC con componentes e índices metabólicos asociados al SM en adultos de Bogotá, Colombia.

Condicionamento estrutural das zonasa de cisalhamento da região de Forquilha, domínio Ceará Central: uma abordagem integrada de sensoriamento remoto e geologia estrutural

The studied region, named Forquilha and localized in northwestern Central Ceará domain (northern portion of Borborema Province), presents a lithostratigraphic framework constituted by paleoproterozoic metaplutonics, metasedimentary sequences and neoproterozoic granitoids. The metasedimentary rocks of Ceará group occupy most part of the area. This group is subdivided in two distinct units: Canindé and Independência. Canindé unit is represented basically by biotite paragneisses and muscovite paragneisses, with minor metabasic rocks (amphibolite lens). Independência sequence is composed by garnetiferous paragneisses, sillimanite-garnet-quartz-muscovite schists and quartz-muscovite schists, pure or muscovite quartzites and rare marbles. At least three ductile deformation events were recognized in both units of Ceará group, named D1, D2 and D3. The former one is interpreted as related to a low angle tangential tectonics which mass transport is southward. D2 event is marked by the development of close/isoclinal folds with a N-S oriented axis. Refolding patterns generated by F1 and F2 superposition are found in several places. The latest event (D3) corresponds to a transcurrent tectonics, which led to development of mega-folds and several shear zones, under a transpressional regime. The mapped shear zones are Humberto Monte (ZCHM), Poço Cercado (ZCPC) and Forquilha (ZCF). Digital image processing of enhanced Landsat 7-ETM+ satellite images, combined with field data, demonstrate that these penetrative structures are associated with positive and negative geomorphologic patterns, distributed in linear and curvilinear arrangements with tonal banding, corresponding to the ductile fabric and to crests. Diverse color composites were tested and RGB-531 and RGB-752 provided the best results for lineament analysis of the most prominent shear zones. Spatial filtering techniques (3x3 and 5x5 filters) were also used and the application of Prewitt filters generated the best products. The integrated analysis of morphological and textural aspects from filtered images, variation of tonalities related to the distribution of geologic units in color composites and the superposition over a digital elevation model, contributed to a characterization of the structural framework of the study area. Kinematic compatibility of ZCHM, ZCPC, ZCF shear zones, as well as Sobral-Pedro II (ZCSPII) shear zone, situated to the west of the study area, was one of the goal of this work. Two of these shear zones (ZCHM, ZCPC) display sinistral movements, while the others (ZCSPII, ZCF) exhibit dextral kinematics. 40Ar/39Ar ages obtained in this thesis for ZCSPII and ZCPC, associated with other 40Ar/39Ar data of adjacent areas, indicate that all these shear zones are related to Brasiliano orogeny. The trend of the structures, the opposite shear senses and the similar metamorphic conditions are fitted in a model based on the development of conjugate shear zones in an unconfined transpression area. A WNW-ESE bulk shortening direction is infered. The geometry and kinematic of the studied structures suggest that shortening was largely accommodated by lateral extrusion, with only minor amounts of vertical stretch

Search for Higgs bosons decaying to tau(+)tau(-) pairs in p(p)over-bar collisions at root s=1.96 TeV

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Measurement of spin correlation in t(t)over-bar production using dilepton final states

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Measurement of the WZ -> lvll cross section and limits on anomalous triple gauge couplings in p(p)over-bar collisions at root s=1.96 TeV

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Measurement of the t-channel single top quark production cross section

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Search for W H associated production in 5.3 fb(-1) of p(p)over-bar collisions at the Fermilab Tevatron

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Search for scalar bottom quarks and third-generation leptoquarks in p(p)over-bar collisions at root s=1.96 TeV

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Search for flavor changing neutral currents in decays of top quarks

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Measurement of the t(t)over-bar production cross section using dilepton events in p(p)over-bar collisions

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Search for single top quarks in the tau plus jets channel using 4.8 fb(-1) of p(p)over-bar collision data

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Search for flavor changing neutral currents via quark-gluon couplings in single top quark production using 2.3 fb(-1) of p(p)over-bar collisions

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)