PPG.EGPSA/ITEGAM

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/1

A comunidade dispõe da produção técnica e científica do Programa de Pós-graduação em Engenharia, Gestão de Processos, Sistema e Ambiental (PPG.EGPSA) do Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM), fruto da atividade de pesquisa e desenvolvimento (P&D). É possível acessar os trabalhos de conclusão do programa de pós-graduação, artigos e livros vinculados a pesquisa, desenvolvimento, inovação e extensão.

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Autor: search.filters.author.MOREIRA, Jaildo Jackson do Amaral

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
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    Algoritmo para análise preliminar dos requisitos técnicos dos titulares de permissão para reparo e manutenção de instrumentos de medição regulados
    (Instituto Nacional da Propriedade Industrial (INPI), 2024-06-28) MOREIRA, Jaildo Jackson do Amaral; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida
    Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Algorithm for preliminary analysis of the technical requirements of permit holders for repair and maintenance of regulated measuring instruments", developed in MATLAB, valid for 50 years.
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    Análise preliminar dos requisitos técnicos dos titulares de autorizações para reparo e manutenção de instrumentos de medição regulados: Aplicação de sistemas de inferência fuzzy
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-07-24) MOREIRA, Jaildo Jackson do Amaral; BRITO JUNIOR, Jorge de Almeida; http://lattes.cnpq.br/3423176906589920
    Accurate measurement is essential in sectors such as industry, healthcare, and the environment. In Brazil, the National Institute of Metrology, Quality and Technology (INMETRO) regulates and inspects measuring instruments, requiring authorization holders for repair and maintenance to meet stringent technical requirements. This study applied fuzzy inference systems for the preliminary analysis of these requirements, developing a model capable of efficiently and accurately identifying and evaluating compliance. The method involved surveying technical requirements, defining linguistic variables, developing and testing the fuzzy system, and analyzing results. The system was implemented and tested in a controlled environment with different datasets, demonstrating high accuracy in identifying compliance in over 90% of cases. Additionally, it provided valuable insights into authorization holders' strengths and weaknesses, highlighting areas that may need improvement for continued compliance. The application of fuzzy inference systems proved to be a promising approach to improving compliance assessment processes, ensuring the quality and accuracy of measurements in Brazil, and renewing the perception of analyses in ordinances already implemented by INMETRO. This approach can also significantly contribute to decision-making by regulatory agencies, such as IPEM/AM, providing an additional tool to ensure compliance and reliability of measuring instruments used nationwide.