949 resultados para cog humanoid robot embodied learning phd thesis metaphor pancake reaching vision


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Asthma is a significant health issue in the pediatric population with a noteworthy growth over the years. The proposed challenge for this PhD thesis was the development of advanced methodologies to establish metabolomic patterns in urine and exhaled breath associated with asthma whose applicability was subsequently exploited to evaluate the disease state, the therapy adhesion and effect and for diagnostic purposes. The volatile composition of exhaled breath was studied combining headspace solid phase microextraction (HS-SPME) with gas chromatography coupled to mass spectrometry or with comprehensive two-dimensional gas chromatography coupled to mass spectrometry with a high resolution time of flight analyzer (GC×GC–ToFMS). These methodologies allowed the identification of several hundred compounds from different chemical families. Multivariate analysis (MVA) led to the conclusion that the metabolomic profile of asthma individuals is characterized by higher levels of compounds associated with lipid peroxidation, possibly linked to oxidative stress and inflammation (alkanes and aldehydes) known to play an important role in asthma. For future applications in clinical settings a set of nine compounds was defined and the clinical applicability was proven in monitoring the disease status and in the evaluation of the effect and / or adherence to therapy. The global volatile metabolome of urine was also explored using an HSSPME/GC×GC–ToFMS method and c.a. 200 compounds were identified. A targeted analysis was performed, with 78 compounds related with lipid peroxidation and consequently to oxidative stress levels and inflammation. The urinary non-volatile metabolomic pattern of asthma was established using proton nuclear magnetic resonance (1H NMR). This analysis allowed identifying central metabolic pathways such as oxidative stress, amino acid and lipid metabolism, gut microflora alterations, alterations in the tricarboxylic acid (TCA) cycle, histidine metabolism, lactic acidosis, and modification of free tyrosine residues after eosinophil stimulation. The obtained results allowed exploring and demonstrating the potential of analyzing the metabolomic profile of exhaled air and urine in asthma. Besides the successful development of analysis methodologies, it was possible to explore through exhaled air and urine biochemical pathways affected by asthma, observing complementarity between matrices, as well as, verify the clinical applicability.

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Breast cancer, despite being one of the leading causes of death among women worldwide is a disease that can be cured if diagnosed early. One of the main techniques used in the detection of breast cancer is the Fine Needle Aspirate FNA (aspiration puncture by thin needle) which, depending on the clinical case, requires the analysis of several medical specialists for the diagnosis development. However, such diagnosis and second opinions have been hampered by geographical dispersion of physicians and/or the difficulty in reconciling time to undertake work together. Within this reality, this PhD thesis uses computational intelligence in medical decision-making support for remote diagnosis. For that purpose, it presents a fuzzy method to assist the diagnosis of breast cancer, able to process and sort data extracted from breast tissue obtained by FNA. This method is integrated into a virtual environment for collaborative remote diagnosis, whose model was developed providing for the incorporation of prerequisite Modules for Pre Diagnosis to support medical decision. On the fuzzy Method Development, the process of knowledge acquisition was carried out by extraction and analysis of numerical data in gold standard data base and by interviews and discussions with medical experts. The method has been tested and validated with real cases and, according to the sensitivity and specificity achieved (correct diagnosis of tumors, malignant and benign respectively), the results obtained were satisfactory, considering the opinions of doctors and the quality standards for diagnosis of breast cancer and comparing them with other studies involving breast cancer diagnosis by FNA.

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This work presents a cooperative navigation systemof a humanoid robot and a wheeled robot using visual information, aiming to navigate the non-instrumented humanoid robot using information obtained from the instrumented wheeled robot. Despite the humanoid not having sensors to its navigation, it can be remotely controlled by infra-red signals. Thus, the wheeled robot can control the humanoid positioning itself behind him and, through visual information, find it and navigate it. The location of the wheeled robot is obtained merging information from odometers and from landmarks detection, using the Extended Kalman Filter. The marks are visually detected, and their features are extracted by image processing. Parameters obtained by image processing are directly used in the Extended Kalman Filter. Thus, while the wheeled robot locates and navigates the humanoid, it also simultaneously calculates its own location and maps the environment (SLAM). The navigation is done through heuristic algorithms based on errors between the actual and desired pose for each robot. The main contribution of this work was the implementation of a cooperative navigation system for two robots based on visual information, which can be extended to other robotic applications, as the ability to control robots without interfering on its hardware, or attaching communication devices

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This work proposes a method to localize a simple humanoid robot, without embedded sensors, using images taken from an extern camera and image processing techniques. Once the robot is localized relative to the camera, supposing we know the position of the camera relative to the world, we can compute the position of the robot relative to the world. To make the camera move in the work space, we will use another mobile robot with wheels, which has a precise locating system, and will place the camera on it. Once the humanoid is localized in the work space, we can take the necessary actions to move it. Simultaneously, we will move the camera robot, so it will take good images of the humanoid. The mainly contributions of this work are: the idea of using another mobile robot to aid the navigation of a humanoid robot without and advanced embedded electronics; chosing of the intrinsic and extrinsic calibration methods appropriated to the task, especially in the real time part; and the collaborative algorithm of simultaneous navigation of the robots

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There is a growing interest of the Computer Science education community for including testing concepts on introductory programming courses. Aiming at contributing to this issue, we introduce POPT, a Problem-Oriented Programming and Testing approach for Introductory Programming Courses. POPT main goal is to improve the traditional method of teaching introductory programming that concentrates mainly on implementation and neglects testing. POPT extends POP (Problem Oriented Programing) methodology proposed on the PhD Thesis of Andrea Mendonça (UFCG). In both methodologies POPT and POP, students skills in dealing with ill-defined problems must be developed since the first programming courses. In POPT however, students are stimulated to clarify ill-defined problem specifications, guided by de definition of test cases (in a table-like manner). This paper presents POPT, and TestBoot a tool developed to support the methodology. In order to evaluate the approach a case study and a controlled experiment (which adopted the Latin Square design) were performed. In an Introductory Programming course of Computer Science and Software Engineering Graduation Programs at the Federal University of Rio Grande do Norte, Brazil. The study results have shown that, when compared to a Blind Testing approach, POPT stimulates the implementation of programs of better external quality the first program version submitted by POPT students passed in twice the number of test cases (professor-defined ones) when compared to non-POPT students. Moreover, POPT students submitted fewer program versions and spent more time to submit the first version to the automatic evaluation system, which lead us to think that POPT students are stimulated to think better about the solution they are implementing. The controlled experiment confirmed the influence of the proposed methodology on the quality of the code developed by POPT students

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The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. Thereby, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for image recognition. Hence, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave computational platforms, along with the application of customized Back-propagation Multilayer Perceptron (MLP) algorithm and statistical methods as structured heuristics methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of segmented images in which reasonably accurate results were obtained. © 2010 IEEE.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Física - FEG

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

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Este estudo cujo tema perpassa o campo da Educação Superior teve a tarefa de dissertar sobre o objeto a consolidação da formação do professor-pesquisador da Pós-Graduação em Educação da UFPA, que traduziu uma inquietação epistemológica em compreender a ação educativa desenvolvida no espaço pós-graduado e que atualmente vem se desenvolvendo pela relação entre pesquisa-trabalho-produtividade que encontra suas raízes ainda na gênese da Pós-Graduação no Brasil na década de 60. O objetivo geral foi analisar o trabalho docente do professor-pesquisador da Pós-Graduação em Educação da Universidade Federal do Pará – UFPA, a partir do processo de consolidação da sua formação pós-graduada, e os específicos que incidiram nos cinco capítulos da Dissertação, a saber: identificar os aspectos legais e epistemológicos que dão voz ao trabalho docente no Ensino Superior tendo como elo o conceito de professor-pesquisador; verificar os dispositivos institucionais que regulam o trabalho docente na Pós-Graduação; analisar o processo de consolidação da formação dos professores-pesquisadores da Pós-Graduação em Educação da UFPA; examinar o nível de produtividade científica dos professores-pesquisadores da Pós-Graduação em Educação da UFPA e; observar como o trabalho docente desses pesquisadores vem sendo avaliado pela Comissão Externa de Avaliação da CAPES. Dedicando-se a seguinte problematização: Como o trabalho do professor-pesquisador se constitui após o processo de consolidação da sua formação pós-graduada? A qual desencadeou as questões-problemas discutidas em cada capítulo: De que modo o trabalho docente desenvolvido no Ensino Superior vem se caracterizando dentro da abordagem epistemológica que envolve o conceito de professor-pesquisador? Em que medida os aspectos institucionais configuram a atividade docente desenvolvida na Pós-Graduação, particularmente no Instituto de Ciências da Educação da UFPA? O que revela a introdução das teses de doutoramento dos professores-pesquisadores? Como a produtividade científica desses professores-pesquisadores vem se constituindo dentro do Currículo Lattes? Como a CAPES avaliou o trabalho docente na Pós-Graduação em Educação da UFPA no lapso temporal de 2003 a 2010? Dada as questões, o estudo foi construído sob uma abordagem teórico-metodológica ancorada no enfoque histórico-educativo, neste momento autores como Carvalho (2003) e Lombardi (2004) compuseram o diálogo necessário para justificar a opção que desencadeou também na escolha das cinco fontes históricas examinadas no estudo, as bibliográficas sobre a epistemologia do professor-pesquisador, as prescrições oficiais, as introduções das teses de Doutorado do atual corpo docente do PPGED da UFPA, os currículos lattes desses sujeitos e por último, as fichas de avaliação da CAPES aplicadas ao PPGED nos anos de 2004 e 2007 referentes à avaliação trienal coordenada pelo Órgão. Tratou-se de um estudo de caso instrumental interessado em compreender a ação educativa no espaço pós-graduado, tendo como lapso temporal os anos de 2003 a 2010. Dentre os resultados alcançados, concluiu-se, principalmente, que a consolidação do professor-pesquisador tem na etapa de conclusão do Doutorado a consolidação da formação pós-graduada, logo do ponto de partida, uma vez que é na experiência construída no trabalho docente, no ambiente pós-graduado em seu contato com os diferentes processos investigativos que cercam esse campo de significados e contradições que o professor consolida de fato sua atividade investigativa.