A broad range of element size, element shape, and interelement spacing/element size ratio combinations at high and low ambient illuminance levels was used to determine optimal combinations for a 5 X 7 dot matrix visual display. Three tasks - a reading test, a random search task, and a structured (menu) search task - were used to enhance the utility of the research. All tasks were displayed on a CRT display 1.02 m from the subject. There were different overall results for the reading and the search tasks, as shown by an analysis of variance. The smaller elements (0.76 and 1.14 mm) and the 0.5 space/size ratio produced the shortest reading times, while the shortest search times came from the larger elements (1.14 and 1.52 rum). The square shape and low illuminance level (5.4 lux) had the shortest times for all three tasks. For a general purpose display, the combination of a square 1.14 rum dot, with 0.57 mm edge-to-edge spacing is recommended, to be used with the lowest practical ambient illuminance. / Master of Science

This diploma thesis deals with the possibility of presentation data in business intelligence (BI) applications. The aim is to develop a methodology for reporting and data visualization using Microsoft SQL Server 2008 Business Intelligence Development Studio and Microsoft Excel 2010. Evaluate and identify opportunities for data display using the perception of information at a subconscious level in the above mentioned tools. Identify market trends from the perspective of business intelligence data visualization. In the first part thesis focuses on the analysis of the current BI market with regard to trends in data visualization. In the following part options of perceptions on a subconscious level are examined, which are then reflected in the establishment of a methodology reporting. Similarly, it is investigated the human perception of color. Presented are appropriate and inappropriate data visualization forms, at the most commonly used graphic forms. The work describes a method to ensure that the data will not be displayed tendentiously or distorted. My contribution is creating a reporting methodology that respects the life cycle of the report, as well as a logical follow-up steps to project management.

Orientador: Wu Shin-Ting / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-22T07:56:06Z (GMT). No. of bitstreams: 1 YauriVidalon_JoseElias_M.pdf: 9888204 bytes, checksum: 2eb49026222826c846f3aeb94929c1c6 (MD5) Previous issue date: 2012 / Resumo: Por apresentar alta resolução espacial e espectral, é crescente o uso de imagens de ressonância magnética tanto no estudo dos órgãos humanos como também no diagnóstico das anormalidades estruturais e funcionais e no planejamento e treinamento cirúrgico. Junto com a rápida evolução dos algoritmos de processamento de imagens médicas, surgiram na última década aplicativos de diagnósticos assistidos por computador especializados em mamografia, angiografia e imagens da região torácica. A complexidade estrutural do cérebro e as diferenças anatômicas individuais do crânio constituem, no entanto, ainda desafios ao desenvolvimento de um sistema de diagnóstico especializado em neuro-imagens. A intervenção de especialistas é muitas vezes imprescindível na identificação e na interpretação dos achados radiológicos. Nesta dissertação, propomos o uso de três técnicas para auxiliar os especialistas da área médica na busca por achados radiológicos sutis de forma interativa. São apresentados dois objetos de interação, lente móvel e sonda volumétrica, que permitem atualizar continuamente os dados em foco enquanto são manipulados. Com isso, é possível investigar regiões cerebrais de interesse preservando o seu contexto. E, a fim de facilitar a percepção visual das variações funcionais ou estruturais sutis, propomos utilizar um editor de funções de transferência 1D para realçar ou aumentar o contraste entre os voxels adjacentes. As ferramentas foram avaliadas por um grupo de especialistas em neuro-imagens do Laboratório de Neuro-imagens da Faculdade de Ciências Médicas da Unicamp / Abstract: Because of its high spatial and spectral resolution, it is increasing the use of magnetic resonance images both in the study of human organs as well as in the diagnosis of structural and functional abnormalities and in the surgery planning and training. Along with the rapid evolution of medical image processing algorithms, computer-aided diagnostics systems specialized in mammography, angiography, and computed tomography and magnetic resonance of the thorax have emerged in the last decade. The structural complexity of the brain and individual anatomical shape of skulls are, however, challenges in developing a diagnostic system specializing in neuro-imaging. Expert interventions are still essential both in the identification and in the interpretation of radiological findings. In this dissertation, we propose the use of three techniques to aid the medical experts in the search of subtle findings in an interactive way. We present two widgets, movable lens and volumetric probe, that allow one to update continuously the volume data in focus while are manipulated. In this way, it is possible to investigate brain regions of interest preserving its context. And, in order to facilitate the visual perception of the subtle functional or structural changes, we propose to use an editor of 1D transfer function to enhance or to increase the contrast between adjacent voxels. The tools were assessed by the neuro-imaging experts of the Laboratory of Neuro-Images of the Faculty of Medical Sciences of Unicamp / Mestrado / Engenharia de Computação / Mestre em Engenharia Elétrica

New approaches are needed to manage and analyze the enormous quantity of biological data generated by modern technologies. Existing solutions are often fragmented and uncoordinated and, thus, they require considerable bioinformatics skills from users. Three applications have been developed illustrating different strategies to help users without extensive IT knowledge to take maximum profit from their data. SNPator is an easy-to-use suite that integrates all the usual tools for genetic association studies: from initial quality control procedures to final statistical analysis. CHAVA is an interactive visual application for CNV calling from aCGH data. It presents data in a visual way that helps assessing the quality of the calling and assists in the process of optimization. Haplotype Association Pattern Analysis visually presents data from exhaustive genomic haplotype associations, so that users can recognize patterns of possible associations that cannot be detected by single-SNP tests. / Calen noves aproximacions per la gestió i anàlisi de les enormes quantitats de dades biològiques generades per les tecnologies modernes. Les solucions existents, sovint fragmentaries i descoordinades, requereixen elevats nivells de formació bioinformàtica. Hem desenvolupat tres aplicacions que il•lustren diferents estratègies per ajudar als usuaris no experts en informàtica a aprofitar al màxim les seves dades. SNPator és un paquet de fàcil us que integra les eines usades habitualment en estudis de associació genètica: des del control de qualitat fins les anàlisi estadístiques. CHAVA és una aplicació visual interactiva per a la determinació de CNVs a partir de dades aCGH. Presenta les dades visualment per ajudar a valorar la qualitat de les CNV predites i ajudar a optimitzar-la. Haplotype Pattern Analysis presenta dades d’anàlisi d’associació haplotípica de forma visual per tal que els usuaris puguin reconèixer patrons de associacions que no es possible detectar amb tests de SNPs individuals.

I fokus för den här avhandlingen står åskådningskulturen under 1930- och 40-talen, närmare bestämt fototävlingar och fotoböcker med bilder på barn som bärande element. Den här studien granskar hur fototävlingar och fotoböcker var en del i förhandlingen om välfärdens organisering rörande barn och familj. I studien undersöks hur familj, välfärdsstat och nation konstruerades genom representationer av barn, vilka budskap som därigenom etablerades och vilka politiska visioner som kommunicerades. Analyser av bilder och texter visar att fototävlingar och fotoböcker presenterade ett enhetligt budskap om att det behövdes fler och bättre barn, men också hur fototävlingar och fotoböcker förmedlade skilda visioner om hur detta skulle uppnås. Studien bidrar till att synliggöra hur användbara representationer av barn var i bygget av välfärden. De hade potential att förmedla både skilda och gemensamma visioner om välfärdssamhället. / This dissertation focusses on the culture of visual display during the 1930s and 1940s, more specifically photo contests and photo books based on photographs of children. The overall purpose of this investigation has been to study how photo contests and photo books have been a part of the negotiation of the organization of welfare for children and the family. It examines how the family, the welfare state and the nation were constructed by means of representations of children, the messages that were thus established, and the political visions that were communicated. Analyses of images and texts show that photo contests and photo books presented a unified message which said that more and better children were needed, but also how photo contests and photo books communicated disparate visions of how this goal should be reached. The study highlights how useful representations of children were in the construction of welfare. They had the potential to communicate both different visions and a shared vision of the welfare society.