Thesis (doctoral)--University of Uppsala, 1980. / Includes bibliographical references (p. 258-261) and index.

The present study aimed at investigating the influence of the Professors Qualification Project (PQD1) in the formation and performance of professors that belonged to the Literacy University Course. This project was implanted by the Federal University of Sergipe (UFS) in partnership with the Sergipe s Education Secretary (SEED) and the Foundation of Support to the Research in Sergipe (FAPESE). The PQD had as objective to foster the current professors which work in the public state schools and in the municipal education around Sergipe, as well. This data was collected in the POP s Coordination in Estância, using the conclusions of the Literacy Course s egresses, acquired in their own pedagogical practice throughout these years. Initially, it was presented a theoretical reflection on the State s responsibility while promoting the public politics, especially when refers to education. We also brought up a description of the Teaching Qualification s Project, specifying the reached objectives, goals, functioning and results. Describing and analyzing the data, we detached the PQD s influence in the Literacy Course egresses formation and development in regards to their personal and professional accomplishments, as well as their representation related to the PQD and the process of teaching. / O presente estudo teve como objetivo investigar a influência do Projeto de Qualificação Docente (PQD1) na formação e atuação dos docentes licenciados em Letras. Esse projeto foi implantado pela Universidade Federal de Sergipe (UFS) em parceria com a Secretaria de Estado da Educação (SEED) e a Fundação de Amparo à Pesquisa em Sergipe (FAPESE). O PQD teve como objetivo formar docentes, em exercício, das redes públicas estadual e municipal de ensino do interior sergipano. As informações deste estudo foram obtidas de dados existentes na Coordenadoria do PQD no Pólo de Estância/SE, das respostas dos egressos do curso de Letras, expressas nas entrevistas realizadas e das observações feitas de sua prática pedagógica. Inicialmente, apresentamos uma reflexão teórica sobre o papel do Estado como promotor das políticas públicas, destacando aquelas referentes à educação. Após trazemos uma descrição do Projeto de Qualificação Docente, especificando os objetivos, metas, funcionamento e resultados alcançados. E na descrição e análise dos dados destacamos a influência do PQD na formação e atuação dos egressos do curso de Letras, no tocante às realizações pessoal e profissional, bem como as suas representações a respeito do PQD e do magistério.

With the deregulation of power industry and the market competition, stable and reliable power supply is a major concern of the independent system operator (ISO). Power-quality (PQ) study has become a more and more important subject lately. Harmonics, voltage swell, voltage sag, and power interruption could downgrade the service quality. In recent years, high speed railway (HSR) and massive rapid transit (MRT) system have been rapidly developed, with the applications of widespread semiconductor technologies in the auto-traction system. The harmonic distortion level worsens due to these increased uses of electronic equipment and non-linear loads. To ensure the PQ, power-quality disturbances (PQD) detection becomes important. A detection method with classification capability will be helpful for detecting disturbance locations and types. Electric machinery fault diagnosis is another issue of considerable attentions from utilities and customers. ISO need to provide a high quality service to retain their customers. Fault diagnosis of turbine-generator has a great effect on the benefit of power plants. The generator fault not only damages the generator itself, but also causes outages and loss of profits. With high-temperature, high-pressure and factors such as thermal fatigues, many components may go wrong, which will not only lead to great economic loss, but sometimes a threat to social security. Therefore, it is necessary to detect generator faults and take immediate actions to cut the loss. Besides, induction motor plays a major role in a power system. For saving cost, it is important to run periodical inspections to detect incipient faults inside the motor. Preventive techniques for early detection can find out the incipient faults and avoid outages. This dissertation developed various soft computing (SC) algorithms for detection including power-quality disturbances (PQD), turbine-generator fault diagnosis, and induction motor fault diagnosis. The proposed SC algorithms included support vector machine (SVM), grey clustering analysis (GCA), and probabilistic neural network (PNN). Integrating the proposed diagnostic procedure and existing monitoring instruments, a well-monitored power system will be constructed without extra devices. Finally, all the methods in the dissertation give reasonable and practical estimation method. Compared with conventional method, the test results showed a high accuracy, good robustness, and a faster processing performance.