Building an Interactive, Three-dimensional Virtual World

The movement of graphics and audio programming towards three dimensions is to better simulate the way we experience our world. In this project I looked to use methods for coming closer to such simulation via realistic graphics and sound combined with a natural interface. I did most of my work on a Dell OptiPlex with an 800 MHz Pentium III processor and an NVIDlA GeForce 256 AGP Plus graphics accelerator -high end products in the consumer market as of April 2000. For graphics, I used OpenGL [1], an open·source, multi-platform set of graphics libraries that is relatively easy to use, coded in C . The basic engine I first put together was a system to place objects in a scene and to navigate around the scene in real time. Once I accomplished this, I was able to investigate specific techniques for making parts of a scene more appealing.

Recorte volumétrico usando técnicas de interação 2D e 3D

A visualização de conjuntos de dados volumétricos é comum em diversas áreas de aplicação e há já alguns anos os diversos aspectos envolvidos nessas técnicas vêm sendo pesquisados. No entanto, apesar dos avanços das técnicas de visualização de volumes, a interação com grandes volumes de dados ainda apresenta desafios devido a questões de percepção (ou isolamento) de estruturas internas e desempenho computacional. O suporte do hardware gráfico para visualização baseada em texturas permite o desenvolvimento de técnicas eficientes de rendering que podem ser combinadas com ferramentas de recorte interativas para possibilitar a inspeção de conjuntos de dados tridimensionais. Muitos estudos abordam a otimização do desempenho de ferramentas de recorte, mas muito poucos tratam das metáforas de interação utilizadas por essas ferramentas. O objetivo deste trabalho é desenvolver ferramentas interativas, intuitivas e fáceis de usar para o recorte de imagens volumétricas. Inicialmente, é apresentado um estudo sobre as principais técnicas de visualização direta de volumes e como é feita a exploração desses volumes utilizando-se recorte volumétrico. Nesse estudo é identificada a solução que melhor se enquadra no presente trabalho para garantir a interatividade necessária. Após, são apresentadas diversas técnicas de interação existentes, suas metáforas e taxonomias, para determinar as possíveis técnicas de interação mais fáceis de serem utilizadas por ferramentas de recorte. A partir desse embasamento, este trabalho apresenta o desenvolvimento de três ferramentas de recorte genéricas implementadas usando-se duas metáforas de interação distintas que são freqüentemente utilizadas por usuários de aplicativos 3D: apontador virtual e mão virtual. A taxa de interação dessas ferramentas é obtida através de programas de fragmentos especiais executados diretamente no hardware gráfico. Estes programas especificam regiões dentro do volume a serem descartadas durante o rendering, com base em predicados geométricos. Primeiramente, o desempenho, precisão e preferência (por parte dos usuários) das ferramentas de recorte volumétrico são avaliados para comparar as metáforas de interação empregadas. Após, é avaliada a interação utilizando-se diferentes dispositivos de entrada para a manipulação do volume e ferramentas. A utilização das duas mãos ao mesmo tempo para essa manipulação também é testada. Os resultados destes experimentos de avaliação são apresentados e discutidos.

Desempenho ortográfico de escolares do 2º ao 5º ano do ensino público

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

Estudo Comparativo de gráaficos de probabilidade normal para Anáalise de experimentos fatoriais não replicados

Two-level factorial designs are widely used in industrial experimentation. However, many factors in such a design require a large number of runs to perform the experiment, and too many replications of the treatments may not be feasible, considering limitations of resources and of time, making it expensive. In these cases, unreplicated designs are used. But, with only one replicate, there is no internal estimate of experimental error to make judgments about the significance of the observed efects. One of the possible solutions for this problem is to use normal plots or half-normal plots of the efects. Many experimenters use the normal plot, while others prefer the half-normal plot and, often, for both cases, without justification. The controversy about the use of these two graphical techniques motivates this work, once there is no register of formal procedure or statistical test that indicates \which one is best". The choice between the two plots seems to be a subjective issue. The central objective of this master's thesis is, then, to perform an experimental comparative study of the normal plot and half-normal plot in the context of the analysis of the 2k unreplicated factorial experiments. This study involves the construction of simulated scenarios, in which the graphics performance to detect significant efects and to identify outliers is evaluated in order to verify the following questions: Can be a plot better than other? In which situations? What kind of information does a plot increase to the analysis of the experiment that might complement those provided by the other plot? What are the restrictions on the use of graphics? Herewith, this work intends to confront these two techniques; to examine them simultaneously in order to identify similarities, diferences or relationships that contribute to the construction of a theoretical reference to justify or to aid in the experimenter's decision about which of the two graphical techniques to use and the reason for this use. The simulation results show that the half-normal plot is better to assist in the judgement of the efects, while the normal plot is recommended to detect outliers in the data

Monitorização vídeo-EEG prolongada em crises não epilépticas: semiologia clínica

O objetivo deste estudo foi mostrar a contribuição da monitorização vídeo-EEG prolongada (MVEP) no diagnóstico de crises não epilépticas (CNE) e estimar sua prevalência em um centro terciário de atendimento à Epilepsia (EP). Foram observados 47 pacientes com diagnóstico de CNE com crises espontâneas ou provocadas. Foram instituídos protocolos direcionados à história clínica e à semiologia das crises. A análise estatística baseou-se no teste de Fisher e na análise de cluster. Os resultados evidenciaram prevalência de 10% de CNE. Houve predominância do sexo feminino (63,8%); em 57% dos pacientes as crises foram espontâneas. A média de idade foi 32,5 ± 11anos. O sinal semiológico mais freqüente foi o sono aparente (87,2%). em 9% dos pacientes observaram-se tanto EP como CNE. Três agrupamentos resultaram da análise de cluster: CNE hipermotora das extremidades com alteração de tônus; CNE com automatismos e CNE axial com movimentos oculares. em conclusão, o estudo da semiologia clínica das CNE durante a MVEP contribui para o diagnóstico desta entidade nosológica e para o diagnóstico diferencial com EP; o teste provocativo auxilia na obtenção das crises.

Desempenho ortográfico de escolares do 2º ao 5º ano do ensino particular

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

Using GPUs for beamforming acceleration on SAFT imaging

SAFT techniques are based on the sequential activation, in emission and reception, of the array elements and the post-processing of all the received signals to compose the image. Thus, the image generation can be divided into two stages: (1) the excitation and acquisition stage, where the signals received by each element or group of elements are stored; and (2) the beamforming stage, where the signals are combined together to obtain the image pixels. The use of Graphics Processing Units (GPUs), which are programmable devices with a high level of parallelism, can accelerate the computations of the beamforming process, that usually includes different functions such as dynamic focusing, band-pass filtering, spatial filtering or envelope detection. This work shows that using GPU technology can accelerate, in more than one order of magnitude with respect to CPU implementations, the beamforming and post-processing algorithms in SAFT imaging. ©2009 IEEE.

Hallazgos de neuroimagen y desempeño ortográfi co de estudiantes con trastorno por défi cit de atención con hiperactividad según la semiología de los errores

Aim: To characterize, compare and classify the performance of students with attention deficit-hyperactivity disorder (ADHD) according to the semiology of errors and to describe the neuroimaging findings in these students. Methods: We evaluated 36 primary school boys and girls aged between 8 and 11 years old in the 3 rd to 5 th grades. The children were divided in two groups. Group I consisted of 18 students with an interdisciplinary diagnosis of ADHD (60% boys and 40% girls). Group II consisted of 18 children with good academic performance, paired by gender, age and grade with children in group I. The collective and individual versions of the Pro-ortografia spelling tests were applied. Results: Statistically significant differences were found in almost all the tests of the individual and collective versions of the spelling evaluation, with children with ADHD showing a higher average number of errors. Neuroimaging examinations indicated that 81% of the students in GI showed hypoperfusion in the frontal lobe, 7% had hypoperfusion of the thalamus and basal ganglia, 6% showed hypoperfusion in the basal ganglia only and 6% showed hypoperfusion in the left and right frontal lobes. Conclusions: Children with ADHD demonstrated poorer knowledge of the use of spelling rules in Brazilian Portuguese, which could be related to changes in blood flow in the frontal lobe, parietal lobe, thalamus and basal ganglia. These changes could cause a lack of attention, affecting phonological working memory and the planning of writing. © 2011 AELFA.

Desempenho ortográfico de escolares do ensino fundamental: elaboração e aplicação de um instrumento de intervenção

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Contribuições metodológicas para o ensino de geografia na educação básica: proposta de modelo cartográfico com múltiplas representações

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Conservação de energia em sistemas de iluminação pública e os seus efeitos na rede elétrica de distribuição

Pós-graduação em Engenharia Mecânica - FEG

Intervention program efficacy for spelling difficulties

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

Programa de capacitação de famílias de crianças, jovens e adultos usuários de comunicação alternativa

This study aimed to enter a training program for family members of children, youth and adults who use augmentative and alternative communication systems in the context of alternative languages . The study included families in the age group of 25-65 years in the period 2010- 2012. The activities were held weekly with duration of one hour in a alternative communication laboratory. All activities were videotaped and after that, the verbal participants’ reports were transcribed. The obtained categories were analyzed according to the steps of the program. The results indicated that families realized: the necessity of graphics systems for communication; the importance of adapted materials; and the need to understand their children’s different skills. The study reinforced the need for systematic and continuous guidance for families, as well as highlighted the use of graphics systems in the context of language.

Desempenho ortográfico de escolares de 2o ao 5o ano do ensino privado do município de Londrina

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

Image Re-Ranking Acceleration on GPUs

Huge image collections are becoming available lately. In this scenario, the use of Content-Based Image Retrieval (CBIR) systems has emerged as a promising approach to support image searches. The objective of CBIR systems is to retrieve the most similar images in a collection, given a query image, by taking into account image visual properties such as texture, color, and shape. In these systems, the effectiveness of the retrieval process depends heavily on the accuracy of ranking approaches. Recently, re-ranking approaches have been proposed to improve the effectiveness of CBIR systems by taking into account the relationships among images. The re-ranking approaches consider the relationships among all images in a given dataset. These approaches typically demands a huge amount of computational power, which hampers its use in practical situations. On the other hand, these methods can be massively parallelized. In this paper, we propose to speedup the computation of the RL-Sim algorithm, a recently proposed image re-ranking approach, by using the computational power of Graphics Processing Units (GPU). GPUs are emerging as relatively inexpensive parallel processors that are becoming available on a wide range of computer systems. We address the image re-ranking performance challenges by proposing a parallel solution designed to fit the computational model of GPUs. We conducted an experimental evaluation considering different implementations and devices. Experimental results demonstrate that significant performance gains can be obtained. Our approach achieves speedups of 7x from serial implementation considering the overall algorithm and up to 36x on its core steps.