This study focuses on hexagonally sampled images and grayscale morphology. We combine hexagonal image processing and grayscale morphology to develop hexagonal grayscale morphology, and propose an algorithm to detect and enhance edges. Hexagonal image processing consists of three important steps: conversion of hexagonally sampled images, processing, and display of processed images on simulated hexagonal grid. We construct four different sizes of hexagonal structuring elements to apply morphological operations on hexagonal images. In this study, we applied morphological gradient for edge detection and proposed algorithm for edge enhancement. Moreover, we developed six different shapes of structuring elements to find an optimum one. Finally, we assessed two methods to compare our results, and identified the best result and optimum structuring element. We expect that proposed algorithm will offer a useful tool of image processing on hexagonally sampled images.

Discrete choice models form a class of models widely used in econometrics for modelling the individual choice from a finite set of alternatives. The most widely used model is the multinomial logit model, implicitly assuming independence of irrelevant alternatives. A generalization is the nested multinomial logit model, relaxing this strong assurnp tion. Viewing both models as nonlinear regression models a set of diagnostics is derived. This includes a hat matrix, measures of leverage, influence and residuals and an approximation to the parameters for case deletion. In an example for the multinomid logit model a good performance of these diagnostics is observed and the parameter approximation by the proposed formula is better than a one step Newton-Raphson procedure. In an example for the nested logit model a constructed outlier with high influence is revealed by the measures of leverage and residual, but the parameter approximation is insufficient. (author's abstract) / Series: Forschungsberichte / Institut für Statistik

Orientador: Roberto de Alencar Lotufo / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-07T11:27:50Z (GMT). No. of bitstreams: 1 Sa_GustavoFerreiraCardosode_M.pdf: 2313623 bytes, checksum: ca6abbf3a186c9d5bed2d6b1e73e3a9f (MD5) Previous issue date: 2006 / Resumo: Neste trabalho são apresentadas melhorias na robustez do método FingerCode para reconhecimento de impressões digitais. No FingerCode a textura dos componentes orientados das impressões digitais são extraídas por um banco direcional de filtros Gabor. Posteriormente, os componentes orientados são setorizados e para cada setor é computado um valor. Este conjunto de valores forma o vetor de atributos. Finalmente, a média da diferença absoluta dos dois vetores de atributos é computada indicando a similaridade entre duas impressões digitais. Foram testadas várias soluções e entre as que apresentaram melhores resultados destacam-se: a substituição dos valores dos atributos através de uma função não-linear, a ponderação dos valores de atributo de acordo com características estatísticas da distribuição espacial dos valores e o cálculo de medidas estatísticas extraídas dos histogramas de distribuição de diferenças. Estas funções apresentaram um ganho significativo, principalmente para o caso dos sensores óticos com uma melhoria de aproximadamente 45% no EER. Outra contribuição apresentada foi uma nova implementação rápida do filtro Gabor 2D, que se constitui de uma onda sinusoidal modulada por um envelope gaussiano. A filtragem 2D da imagem por um banco de filtros Gabor 2D é uma das etapas de maior consumo de tempo no processamento de imagens. Na nova solução proposta, o filtro Gabor 2D é separado em dois filtros Gabor 1D ortogonais, bastando para isto que o envelope gaussiano obedeça a condição de ser circular. O processamento com o filtro separado é mais rápida do que com o filtro não-separado e o ganho na performance aumenta à medida que aumenta o tamanho da imagem ou do filtro. Também foram desenvolvidas novas técnicas de segmentação: baseada em morfologia matemática e baseada em filtros Gabor. Estas segmentações ocorrem ao nível do píxel, com ótimos resultados, principalmente após a uniformização da área através de processos morfológicos / Abstract: In this work it is introduced improvements in robustness of FingerCode method to recognize fingerprints. In the FingerCode the texture of fingerprint oriented components are extracted by a bank of directional Gabor filters. After that, the oriented components are tessellated and a value is computed for each sector. This set of values constitutes the attribute vector. Finally, the absolute difference mean between the two attribute vectors is computed that gives the similarity between two fingerprints. New solutions were tested; among them the best results were obtained by: attribute values replacement by a non-linear function, attribute values weighting by statistical characteristics of spatial distribution of values, and the calculus of statistical measures extracted from the difference distribution histograms. These functions presented a significant gain, mainly in the case of optical sensors with an improvement about 45% in EER. Another contribution presented was a new fast implementation of the 2D Gabor filter, which constitutes in a sinusoidal wave modulated by a Gaussian envelope. The 2D image filtering by a bank of 2D Gabor filters is one of the most expensive stage of image processing. In the new solution proposed, the 2D Gabor filter is separated in two orthogonal 1D Gabor filters, for this the Gaussian envelope must obey the condition of being circular. Processing with the separated filter is faster than the non-separated filter, and the gain improves as the size of image or filter increases. Also it was developed new segmentation techniques: based on mathematical morphology, and based on Gabor filters. Those segmentations occur at pixel level, with good results, mostly after the area regularization with morphological processes / Mestrado / Engenharia de Computação / Mestre em Engenharia Elétrica

Departing from narratives of young people, the aim of this thesis is to deepen the knowledge about the meaning of their social interactions in social media. In this qualitative study, young people’s interactions when they use social media are studied in a Swedish context. The study constitutes an important contribution since it makes young people’s voices heard. It is based on semi-structured interviews with 32 young people aged 13-15. The results show that young people do not use the term bullying when they define a situation that is of a negative nature. They use other terms such as hate and drama to define a situation they perceive to be negative, both in situations when they themselves are involved and in situations when they are among the audience. It depends on how they define the situation. Explanations for why drama, hate and negative actions occur can be understood based on on-going relation-building work and an effort to fit into a certain peer culture. The results also indicate that it is important to receive attention from significant others. In interaction with others, social skills are developed to navigate drama, hate, friendship, negative actions and relation-building efforts in social media. Social norms, gender norms and negotiating identities come to expression when the young people discuss self-presentations in pictures. Explanations as to why they choose to publish a certain kind of picture can be linked with complex relationship and identity construction processes where the young peoples position themselves and others in the struggle to doing gender and a desire to participate in a certain peer culture.

Tato diplomová práce popisuje úpravu průběžné integrace pro Platform tým ve společnosti Red Hat. Výsledkem práce je nástroj Metamorph, který umožní sjednocení ostatních nástrojů průběžné integrace pod týmem Platform. Teoretická část popisuje vznik, popis a přidané hodnoty průběžné integrace. Následně jsou blíže přiblíženy existující nástroje na trhu. Dále je zde popsáno použití průběžné integrace v nástroji Jenkins. V práci jsou také dopodrobna popsány existující řešení průběžné integrace ve společnosti Red Hat. Dále je zde popsán návrh a implementace výše zmíněného nástroje. V závěru jsou výsledky práce otestovány týmem z firmy Red Hat a nastíněny možnosti rozšíření.

Diese Arbeit beschäftigt sich mit dem Aufbau und der Konfiguration eines XEN-basierten Clusters am Beispiel der RedHat Cluster Suite (RHCS). Es werden Lösungsmöglichkeiten für den Betrieb virtueller Gastsysteme mit unterschiedlichen Subnetzen (VLANs) im Cluster aufgezeigt. Zudem werden Möglichkeiten zur Umsetzung von HA-Eigenschaften des Netzwerkes im Cluster untersucht. (NIC-Bonding)

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The purpose of this study is to examine incels expressions of hate on a Swedish online forum. The term incel means involuntary celibacy and has come to attract mainly heterosexual men who have difficulty succeeding in romantic and sexual relationships. Furthermore, the incel community is characterized by misogyny and incitements to violence. The phenomenon, established on the internet, has in recent years grown and attracted more and more people. Previous studies show that Sweden might obtain the most incels in the world relative to the population. To acquire knowledge about the phenomenon, we intended to investigate how Swedish incels express hate, what the hate is directed to and to what purpose. The study was conducted using a netnographic method where posts on the Swedish forum Flashback were collected. The data was analyzed and sorted using a qualitative analysis of data which resulted in four categories of hatred; misogyny, hatred against the Swedish welfare society, xenophobia and self-hatred. Erving Goffman's theory of stigma and Raewyn Connell's theory of masculinity were used as a theoretical framework, and based on these theories, the main results show that incels hatred is based on the lack of sexual relationships which lead to crisis tendencies and perceived stigma. Hatred can be understood as frustration, the feeling of exclusion and a feeling of inadequacy as well as the experience of a threatened masculinity. The hatred amongst Swedish incels also function as a binding force in the incel community.

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