Documentação de convênios

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173

Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas

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20102

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Autor: search.filters.author.NOGUEIRA, Maria Amélia Costa SaraivaAssunto: search.filters.subject.Ambiente de trabalho

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    Metodologia de avaliação da qualidade do ruído no posto de trabalho baseada em lógica fuzzy
    (INSTITUTO DE TECNOLOGIA, 2010) NOGUEIRA, Maria Amélia Costa Saraiva; COSTA JÚNIOR, Carlos Tavares da; LEITE, Jandecy Cabral.; Prof. Dr. Rui Guilherme Cavaleiro de Macedo Alves
    This paper proposes a methodology based on fuzzy logic to evaluate noise quality in industrial workplaces, considering variables such as noise level and working hours. The model uses membership functions and fuzzy rules to classify the environment as "satisfactory" or "at risk." The application of the method in a metalworking industry demonstrated its effectiveness in identifying unhealthy conditions, contributing to the prevention of occupational health problems.
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    Metodologia de Avaliação da Qualidade do Ruído nos Postos de Trabalhos Industriais Baseada em Lógica Fuzzy
    (Programa de Pós-Graduação em Engenharia Elétrica, 2010) NOGUEIRA, Maria Amélia Costa Saraiva; COSTA JUNIOR, Carlos Tavares da
    The noise is ranked third among the most unhealthy agents affecting human health. Occupational noise that affects employees in their day-to-day tasks can be prevented through the involvement of employers and employees in a hearing conservation program. This study proposes the applicability of fuzzy logic to evaluate the quality of noise in industrial jobs, considering variables such as noise level and number of hours worked. Thus, using fuzzy logic modeling, measured noise levels were assessed, generating results that classify the work environment as satisfactory or high-risk, as well as providing guidance on whether or not to use safety equipment in hazardous environments. Prevention seeks to minimize or even eliminate hearing and non-hearing health problems, which are very common nowadays.