El olvido : Análisis temático de la novela De amor y de sombra

La novela realista De amor y de sombra, por la autora Isabel Allende, describe como dos jóvenes luchan contra la “injusticia legalizada” en un lugar ficticio que alude a Chile bajo la dictadura de Augusto Pinochet. Un tema subyacente pero crucial en la obra es el olvido – individual, colectivo e impuesto. Por consiguiente demostraremos en este análisis cómo se presenta el olvido en la novela De amor y de sombra. La hipótesis que dirige nuestro estudio es que el olvido tiene un propósito mayor – destacar la importancia de recordar el pasado. Haciendo un análisis hermenéutico, nos apoyaremos en tres teorías sobre el olvido y el olvido social, resaltando ejemplos de personajes y acontecimientos de la novela. Por ende, en la conclusión se afirma la hipótesis y que la obra de Isabel Allende hace un llamamiento a recordar el pasado.

Traffic and Road Sign Recognition

This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle. The system is based on three major stages: colour segmentation, recognition, and classification. Four colour segmentation algorithms are developed and tested. They are a shadow and highlight invariant, a dynamic threshold, a modification of de la Escalera’s algorithm and a Fuzzy colour segmentation algorithm. All algorithms are tested using hundreds of images and the shadow-highlight invariant algorithm is eventually chosen as the best performer. This is because it is immune to shadows and highlights. It is also robust as it was tested in different lighting conditions, weather conditions, and times of the day. Approximately 97% successful segmentation rate was achieved using this algorithm.Recognition of traffic signs is carried out using a fuzzy shape recogniser. Based on four shape measures - the rectangularity, triangularity, ellipticity, and octagonality, fuzzy rules were developed to determine the shape of the sign. Among these shape measures octangonality has been introduced in this research. The final decision of the recogniser is based on the combination of both the colour and shape of the sign. The recogniser was tested in a variety of testing conditions giving an overall performance of approximately 88%.Classification was undertaken using a Support Vector Machine (SVM) classifier. The classification is carried out in two stages: rim’s shape classification followed by the classification of interior of the sign. The classifier was trained and tested using binary images in addition to five different types of moments which are Geometric moments, Zernike moments, Legendre moments, Orthogonal Fourier-Mellin Moments, and Binary Haar features. The performance of the SVM was tested using different features, kernels, SVM types, SVM parameters, and moment’s orders. The average classification rate achieved is about 97%. Binary images show the best testing results followed by Legendre moments. Linear kernel gives the best testing results followed by RBF. C-SVM shows very good performance, but ?-SVM gives better results in some case.

Fragmented messages : a reading of L.P. Hartley's novel The go-between

A intenção deste trabalho é efetuar uma leitura do romance O Mensageiro, do autor inglês L.P. Hartley, na forma de uma jornada ao país estrangeiro do passado do protagonista-narrador. Tal leitura é uma espécie de convite aceito para a viagem, que esteticamente deixa sugestões sob a forma de truques, fragmentos de mensagens veladas, expressões ambíguas, sombras, vazios no caminho. Todavia, Mercúrio, o mensageiro dos antigos deuses, o protetor dos viajantes, o trapaceiro, é agora um ser indistinto, cuja imagem e função passou por grandes transformações ao longo da viagem até a modernidade. Guerras, restos de experiências traumáticas coletivas e pessoais são recuperadas na rota movediça do narrador melancólico, sob a forma de substância própria para a narração. Nietzsche e Walter Benjamin são companheiros na trajetória, provendo o suporte teórico básico para a viagem.

ANÁLISE COMPARATIVA DO CONHECIMENTO, ATITUDES E PRECONCEITOS DE UNIVERSITÁRIOS DOS CURSOS DE PEDAGOGIA, EDUCAÇÃO FÍSICA E MEDICINA EM RELAÇÃO À EPILEPSIA

Epilepsy is a chronic disorder of the central nervous system, most frequently characterized by abnormal electrical impulses in the brain. It is the oldest recorded neurological disease and has been surrounded by myths, mistaken beliefs and preconceptions. Three professionals work with epileptic patients on a daily basis: teachers, physical educators and physicians . This study aimed to analyze and compare the level of knowledge, preconceptions and attitudes of undergraduate students in the courses of Pedagogy, Physical Education and Medicine, future professionals who will deal with epileptic patients. This descriptive observational study was conducted with 286 university undergraduates of both sexes (women 99/34.6% and men 187/65.4%) from the first to fourth year of Pedagogy, Physical Education and Medicine courses at the Universidade Estadual Rio Grande do Norte (UERN), with mean age of 23 years. A validated and adapted 17-question questionnaire, divided into nine knowledge-based questions, five related to preconceptions and three on attitudes, was applied. Results allowed elaboration of a manuscript entitled Comparative Analysis of Knowledge, Attitude and Preconceptions in University Undergraduates of Pedagogy, Physical Education and Medicine Courses in Relation to Epilepsy. The findings of this article show that knowledge of epilepsy in the three groups is very satisfactory. The low level of preconception indicates that educational or clarifying information is being transmitted, albeit by television, a layman s information vehicle, which has undoubtedly contributed to reducing the stigma of epilepsy through educational information. Results also suggest a lack of knowledge on how to act during a seizure, especially in education professionals. Although there are limitations in our sample, the relevance and contribution of this study is to call attention to the importance and need for these future professionals to be informed and learn correct attitudes with respect to epilepsy during their academic formation. This is essential at a time when the disease is being brought out of the shadows. This research was supported by the Office of the Dean of Teaching, and Deans of Pedagogy, Physical Education and Medicine at UERN. The research was made possible by the multidisciplinary interaction among a physical educator, child neurologist and statistician, all contributing to achieving the aims set out here

Morfologia matemática aplicada à detecção de sombras e nuvens em imagens de alta resolução

The spatial resolution improvement of orbital sensors has broadened considerably the applicability of their images in solving urban areas problems. But as the spatial resolution improves, the shadows become even a more serious problem especially when detailed information (under the shadows) is required. Besides those shadows caused by buildings and houses, clouds projected shadows are likely to occur. In this case there is information occlusion by the cloud in association with low illumination and contrast areas caused by the cloud shadow on the ground. Thus, it's important to use efficient methods to detect shadows and clouds areas in digital images taking in count that these areas care for especial processing. This paper proposes the application of Mathematical Morphology (MM) in shadow and clouds detection. Two parts of a panchromatic QuickBird image of Cuiab-MT urban area were used. The proposed method takes advantage of the fact that shadows (low intensity - dark areas) and clouds (high intensity - bright areas) represent the bottom and top, respectively, of the image as it is thought to be a topographic surface. This characteristic allowed MM area opening and closing operations to be applied to reduce or eliminate the bottom and top of the topographic surface.

Método monoscópico para a determinação automática da altura de edifícios em fotografias aéreas

This paper proposes a monoscopic method for automatic determination of building's heights in digital photographs areas, based on radial displacement of points in the plan image and geometry at the time the photo is obtained. Determination of the buildings' heights can be used to model the surface in urban areas, urban planning and management, among others. The proposed methodology employs a set of steps to detect arranged radially from the system of photogrammetric coordinates, which characterizes the lateral edges of buildings present in the photo. In a first stage is performed the reduction of the searching area through detection of shadows projected by buildings, generating sub-images of the areas around each of the detected shadow. Then, for each sub-image, the edges are automatically extracted, and tests of consistency are applied for it in order to be characterized as segments of straight arranged radially. Next, with the lateral edges selected and the knowledge of the flight height, the buildings' heights can be calculated. The experimental results obtained with real images showed that the proposed approach is suitable to perform the automatic identification of the buildings height in digital images.

Predição de sombras de edifícios sobre vias urbanas com base em modelos digitais de elevações e dados de imagens aéreas de alta resolução

This research presents a methodology for prediction of building shadows cast on urban roads existing on high-resolution aerial imagery. Shadow elements can be used in the modeling of contextual information, whose use has become more and more common in image analysis complex processes. The proposed methodology consists in three sequential steps. First, the building roof contours are manually extracted from an intensity image generated by the transformation of a digital elevation model (DEM) obtained from airborne laser scanning data. In similarly, the roadside contours are extracted, now from the radiometric information of the laser scanning data. Second, the roof contour polygons are projected onto the adjacent roads by using the parallel projection straight lines, whose directions are computed from the solar ephemeris, which depends on the aerial image acquisition time. Finally, parts of shadow polygons that are free from building perspective obstructions are determined, given rise to new shadow polygons. The results obtained in the experimental evaluation of the methodology showed that the method works properly, since it allowed the prediction of shadow in high-resolution imagery with high accuracy and reliability.

Almost strict total positivity and a class of Hurwitz polynomials

We establish sufficient conditions for a matrix to be almost totally positive, thus extending a result of Craven and Csordas who proved that the corresponding conditions guarantee that a matrix is strictly totally positive. Then we apply our main result in order to obtain a new criteria for a real algebraic polynomial to be a Hurwitz one. The properties of the corresponding extremal Hurwitz polynomials are discussed. (C) 2004 Elsevier B.V. All rights reserved.

Extração semiautomática de rodovias no espaço-objeto: uso integrado de um estereopar de imagens aéreas e um MDT

Neste artigo é proposto um método semiautomático para extração de rodovias combinando um estereopar de imagens aéreas de baixa resolução com um poliedro gerado a partir de um modelo digital do terreno (MDT). O problema é formulado no espaço-objeto através de uma função objetivo que modela o objeto 'rodovia' como uma curva suave e pertencente a uma superfície poliédrica. A função objetivo proposta depende também de informações radiométricas, que são acessadas no espaço-imagem via relação de colinearidade entre pontos da rodovia no espaço-objeto e os correspondentes nos espaços imagem do estereopar. A linha poligonal que melhor modela a rodovia selecionada é obtida por otimização no espaço-objeto da função objetivo, tendo por base o algoritmo de programação dinâmica. O processo de otimização é iterativo e dependente do fornecimento por um operador de uma aproximação inicial para a rodovia selecionada. Os resultados obtidos mostraram que o método é robusto frente a anomalias existentes ao longo das rodovias, tais como obstruções causadas por sombras e árvores.

Road segment delineation using active testing principle and an edge-based post-processing strategy

This paper presents a semi-automated method for extracting road segments from medium-resolution images based on active testing and edge analysis. The method is based on two sequential and independent stages. Firstly, an active testing method is used to extract an approximated road centreline which is based on a sequential and local exploitation of the image. Secondly, an iterative strategy based on edge analysis and the approximated centreline is used to measure precisely the road centreline. Based on the results obtained using medium-resolution test images, the method seems to be very promising. In general, the method proved to be very accurate whenever the roads are characterized by two well-defined anti-parallel edges and robust even in the presence of larger obstacles such as trees and shadows.

Semi-automatic modeling of buildings from digital surface models

Semi-automatic building detection and extraction is a topic of growing interest due to its potential application in such areas as cadastral information systems, cartographic revision, and GIS. One of the existing strategies for building extraction is to use a digital surface model (DSM) represented by a cloud of known points on a visible surface, and comprising features such as trees or buildings. Conventional surface modeling using stereo-matching techniques has its drawbacks, the most obvious being the effect of building height on perspective, shadows, and occlusions. The laser scanner, a recently developed technological tool, can collect accurate DSMs with high spatial frequency. This paper presents a methodology for semi-automatic modeling of buildings which combines a region-growing algorithm with line-detection methods applied over the DSM.

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.

Mexico: economic growth, exports and industrial performance after NAFTA

Includes bibliography

Determinação automática da altura de edifícios em imagens aéreas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)