974 resultados para Language processing
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Trabalho de projecto apresentado para o cumprimento dos requisitos necessários à obtenção do grau de mestre em Didática do Inglês
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Trabalho de Projeto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Teaching English as a Second / Foreign Language
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Terminologia e Gestão da Informação de Especialidade
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Intelligent wheelchairs (IW) are technologies that can increase the autonomy and independence of elderly people and patients suffering from some kind of disability. Nowadays the intelligent wheelchairs and the human-machine studies are very active research areas. This paper presents a methodology and a Data Analysis System (DAS) that provides an adapted command language to an user of the IW. This command language is a set of input sequences that can be created using inputs from an input device or a combination of the inputs available in a multimodal interface. The results show that there are statistical evidences to affirm that the mean of the evaluation of the DAS generated command language is higher than the mean of the evaluation of the command language recommended by the health specialist (p value = 0.002) with a sample of 11 cerebral palsy users. This work demonstrates that it is possible to adapt an intelligent wheelchair interface to the user even when the users present heterogeneous and severe physical constraints.
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Development and standardization of reliable methods for detection of Mycobacterium tuberculosis in clinical samples is an important goal in laboratories throughout the world. In this work, lung and spleen fragments from a patient who died with the diagnosis of miliary tuberculosis were used to evaluate the influence of the type of fixative as well as the fixation and paraffin inclusion protocols on PCR performance in paraffin embedded specimens. Tissue fragments were fixed for four h to 48 h, using either 10% non-buffered or 10% buffered formalin, and embedded in pure paraffin or paraffin mixed with bee wax. Specimens were submitted to PCR for amplification of the human beta-actin gene and separately for amplification of the insertion sequence IS6110, specific from the M. tuberculosis complex. Amplification of the beta-actin gene was positive in all samples. No amplicons were generated by PCR-IS6110 when lung tissue fragments were fixed using 10% non-buffered formalin and were embedded in paraffin containing bee wax. In conclusion, combined inhibitory factors interfere in the detection of M. tuberculosis in stored material. It is important to control these inhibitory factors in order to implement molecular diagnosis in pathology laboratories.
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In this paper we study several natural and man-made complex phenomena in the perspective of dynamical systems. For each class of phenomena, the system outputs are time-series records obtained in identical conditions. The time-series are viewed as manifestations of the system behavior and are processed for analyzing the system dynamics. First, we use the Fourier transform to process the data and we approximate the amplitude spectra by means of power law functions. We interpret the power law parameters as a phenomenological signature of the system dynamics. Second, we adopt the techniques of non-hierarchical clustering and multidimensional scaling to visualize hidden relationships between the complex phenomena. Third, we propose a vector field based analogy to interpret the patterns unveiled by the PL parameters.
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In this paper, a linguistically rule-based grapheme-to-phone (G2P) transcription algorithm is described for European Portuguese. A complete set of phonological and phonetic transcription rules regarding the European Portuguese standard variety is presented. This algorithm was implemented and tested by using online newspaper articles. The obtained experimental results gave rise to 98.80% of accuracy rate. Future developments in order to increase this value are foreseen. Our purpose with this work is to develop a module/ tool that can improve synthetic speech naturalness in European Portuguese. Other applications of this system can be expected like language teaching/learning. These results, together with our perspectives of future improvements, have proved the dramatic importance of linguistic knowledge on the development of Text-to-Speech systems (TTS).
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In this work an adaptive modeling and spectral estimation scheme based on a dual Discrete Kalman Filtering (DKF) is proposed for speech enhancement. Both speech and noise signals are modeled by an autoregressive structure which provides an underlying time frame dependency and improves time-frequency resolution. The model parameters are arranged to obtain a combined state-space model and are also used to calculate instantaneous power spectral density estimates. The speech enhancement is performed by a dual discrete Kalman filter that simultaneously gives estimates for the models and the signals. This approach is particularly useful as a pre-processing module for parametric based speech recognition systems that rely on spectral time dependent models. The system performance has been evaluated by a set of human listeners and by spectral distances. In both cases the use of this pre-processing module has led to improved results.
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Dissertação para obtenção do Grau de Mestre em Engenharia Mecânica
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Thesis submitted in the fulfillment of the requirements for the Degree of Master in Biomedical Engineering
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Os sistemas de informação integrados contribuem para a gestão eficiente das empresas, seja na organização e funcionamento internos ou nas relações externas. O mercado deste software é dominado pelas empresas que criam e distribuem sistemas proprietários. Existe uma alternativa, software livre, que disponibiliza aplicações em código aberto e maioritariamente de licença gratuita, que pode ser adaptado às necessidades das empresas. O objetivo do presente trabalho é avaliar a viabilidade de plataformas livres, de natureza vertical – OFBiz – e horizontal – Spring – como opção na escolha de um sistema de informação nas Pequenas e Médias Empresas portuguesas. Das áreas de negócio principais das organizações, foi selecionada a área de Recursos Humanos para efeitos de adaptação na aplicação OFBiz, com incidência em dois casos de uso: uma opção essencial, mas que atualmente não está prevista – Processamento de vencimentos – e outra já existente e que é avaliada em termos de necessidades de adaptação – Recrutamento. Sendo o idioma um requisito indispensável à internacionalização da aplicação, foi também analisada a sua implementação. A metodologia de investigação utilizada foi o Design Science Research, tendo sido implementado um protótipo para efeitos de teste e avaliação do projeto, com a elaboração de dois modelos: configuração e desenvolvimento. Implementado o protótipo, verificou-se que a framework vertical apresenta-se como uma alternativa mais viável do que a horizontal, pelas funcionalidades já existentes e que facilitam a adequação às necessidades de informação das Pequenas e Médias Empresas. A sua base tecnológica e de estrutura permite que a aplicação possa ser adaptada por técnicos especialistas das próprias empresas.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.