998 resultados para Processamento Digital de Imagem
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In an increasingly competitive and globalized world, companies need effective training methodologies and tools for their employees. However, selecting the most suitable ones is not an easy task. It depends on the requirements of the target group (namely time restrictions), on the specificities of the contents, etc. This is typically the case for training in Lean, the waste elimination manufacturing philosophy. This paper presents and compares two different approaches to lean training methodologies and tools: a simulation game based on a single realistic manufacturing platform, involving production and assembly operations that allows learning by playing; and a digital game that helps understand lean tools. This paper shows that both tools have advantages in terms of trainee motivation and knowledge acquisition. Furthermore, they can be used in a complementary way, reinforcing the acquired knowledge.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Conservação e Restauro
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Dissertação apresentada para a obtenção do grau de Doutor em Ciência e Engenharia dos Materiais, especialidade Microelectrónica e Optoelectrónica pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia
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European Master in Multimedia and Audiovisual Administration
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Na furação de placas em materiais compósitos é corrente o uso de técnicas tradicionais de furação adaptadas. O defeito mais grave é a delaminação, que nem sempre é visível à superfície e pode causar o colapso prematuro das estruturas. Para a avaliação dos danos provocados nas peças utilizam-se meios de controlo não-destrutivo. Neste artigo são analisados os resultados obtidos através do recurso à pré-furação em placas carbono/epóxido e de duas técnicas de controlo. Os resultados obtidos permitem estabelecer a influência da pré-furação na delaminação Neste trabalho, utilizam-se técnicas de Visão Computacional no processamento e análise das imagens obtidas nos ensaios experimentais.
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A estereopsia é o 3º grau da visão binocular. Define-se pela perceção de profundidade e baseia-se na disparidade retiniana. Estereopsia global – estereograma de pontos aleatórios (perceção necessita de disparidade retiniana). Estereopsia local – estereogramas com contornos percebidos monocularmente (processo de fusão facilitado). Objectivos do estudo: 1) comparar valores de estereopsia obtidos em cada teste e analisar valores de estereopsia local e global; 2) estudar a correlação de valores de estereopsia nos testes (TNO goldstandard); 3) estudar a associação entre o resultado dos testes; 4) comparar exatidão entre FlyTeste StereoTAB; 5) estudar a sensibilidade e a especificidade do FlyTeste StereoTAB; 6) averiguar a aplicabilidade do SteroTABna prática clínica.
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Dissertação de Mestrado em Engenharia Informática
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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Química e Bioquímica
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Rationale and Objectives Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of lesions seen on breast imaging exams, thus providing a second opinion. Mammographic databases play an important role in the development of algorithms aiming at the detection and diagnosis of mammary lesions. However, available databases often do not take into consideration all the requirements needed for research and study purposes. This article aims to present and detail a new mammographic database. Materials and Methods Images were acquired at a breast center located in a university hospital (Centro Hospitalar de S. João [CHSJ], Breast Centre, Porto) with the permission of the Portuguese National Committee of Data Protection and Hospital's Ethics Committee. MammoNovation Siemens full-field digital mammography, with a solid-state detector of amorphous selenium was used. Results The new database—INbreast—has a total of 115 cases (410 images) from which 90 cases are from women with both breasts affected (four images per case) and 25 cases are from mastectomy patients (two images per case). Several types of lesions (masses, calcifications, asymmetries, and distortions) were included. Accurate contours made by specialists are also provided in XML format. Conclusion The strengths of the actually presented database—INbreast—relies on the fact that it was built with full-field digital mammograms (in opposition to digitized mammograms), it presents a wide variability of cases, and is made publicly available together with precise annotations. We believe that this database can be a reference for future works centered or related to breast cancer imaging.
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ABSTRACT This study aimed to describe the digital disease detection and participatory surveillance in different countries. The systems or platforms consolidated in the scientific field were analyzed by describing the strategy, type of data source, main objectives, and manner of interaction with users. Eleven systems or platforms, developed from 1996 to 2016, were analyzed. There was a higher frequency of data mining on the web and active crowdsourcing as well as a trend in the use of mobile applications. It is important to provoke debate in the academia and health services for the evolution of methods and insights into participatory surveillance in the digital age.
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Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) agents interacting locally with their environment cause coherent functional global patterns to emerge. Particle swarm optimization (PSO) is a form of SI, and a population-based search algorithm that is initialized with a population of random solutions, called particles. These particles are flying through hyperspace and have two essential reasoning capabilities: their memory of their own best position and knowledge of the swarm's best position. In a PSO scheme each particle flies through the search space with a velocity that is adjusted dynamically according with its historical behavior. Therefore, the particles have a tendency to fly towards the best search area along the search process. This work proposes a PSO based algorithm for logic circuit synthesis. The results show the statistical characteristics of this algorithm with respect to number of generations required to achieve the solutions. It is also presented a comparison with other two Evolutionary Algorithms, namely Genetic and Memetic Algorithms.
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Araucaria. Revista Iberoamericana de Filosofia, Política y Humanidades - Año 9, Nº 18, Segundo semestre de 2007
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do Grau de Mestre em Engenharia Biomédica
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores