Repositório Institucional Galileo
O RIGalileo é uma plataforma dedicada ao armazenamento, preservação e disseminação do conhecimento científico e acadêmico, alinhada aos princípios da Ciência Aberta. O RIGalileo oferece acesso a coleção de recursos, incluindo livros, trabalhos de conclusão de curso, dissertações, teses, artigos científicos, relatórios e documentos resultantes das atividades de pesquisa e desenvolvimento (P&D) do ITEGAM.
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- A comunidade se destina a armazenar as políticas e documentação da Biblioteca do Instituto de Tecnologia e Educação Galileo da Amazônia.
- Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas
- Produção do Programa de Pós-graduação em Engenharia, Gestão de Processos, Sistema e Ambiental (EGPSA)/Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM).
Submissões Recentes
Diagnóstico Difuso da Rentabilidade Empresarial: Modelo Mamdani Aplicado às Margens Bruta e Operacional
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) NASCIMENTO, Alessandra Souza; ALMEIDA, Luiz Fernando Correia de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Eliton Smith dos
Certificate issued by the Brazilian National Institute of Industrial Property (INPI) for the registration of the computer program Fuzzy Diagnosis of Business Profitability: Mamdani Model Applied to Gross and Operating Margins. Developed in Python, the software applies Mamdani-type fuzzy logic to diagnose accounting margins, supporting decision-making in financial and management analysis. The registration, granted to ITEGAM and the authors, ensures legal protection for 50 years under Law No. 9.609/1998, securing intellectual property and exploitation rights.
Diagnóstico de Rentabilidade Empresarial: uma análise fuzzy com dados dos indicadores da margem operacional da DRE
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) NASCIMENTO, Alessandra Souza; SANTOS, Eliton Smith dos; ALMEIDA, Luiz Fernando Correia de
This dissertation develops and validates a Mamdani fuzzy inference model to diagnose business profitability based on the operating margin from the 2024 Income Statement of TecnoAmazon Ltda. Four input variables (General and Administrative Expenses, Tax Expenses, Financial Expenses, and Financial Revenue) were fuzzified into Low, Medium, and High using trapezoidal membership functions calibrated on historical quartiles. An 81-rule IF–THEN base, built using the Wang-Mendel method and validated by experts, fed the Mamdani core. Centroid defuzzification generated crisp scores in the 0–30 range. The model achieved a mean absolute error below 8% compared to accounting ROE and a Kendall’s W of 0.85 with analysts’ internal rankings, confirming that fuzzy logic captures performance nuances overlooked by crisp metrics. Limitations include single-year scope, subjective parameter tuning, and lack of macroeconomic variables. Future work should expand historical data, test type-2 fuzzy sets, and integrate ESG indicators
Implementação do sistema Close Loop Print Control para redução de defeitos no processo SMT numa fábrica de produção de placas eletrônicas no Polo Industrial de Manaus
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ARANTES, Carlos Henrique Borges; VIEIRA JUNIOR, Milton
The growing demand for more compact, efficient, and reliable electronic devices has driven the use of Surface Mount Technology (SMT) in modern production lines. However, the solder paste deposition step remains critical, being responsible for a significant portion of process defects. In this context, this dissertation proposes the implementation of the Close Loop Print Control (CLPC) system as a strategy to reduce failures and improve quality in the production of electronic circuit boards. The study's general objective is to analyze the main defects related to solder paste deposition in an SMT line and propose improvements through the application of the CLPC system. As a method, a case study was conducted in a company located in the Industrial Hub of Manaus, involving the collection of quantitative data (via SPI system and technical reports) and qualitative data (interviews with operators and engineers). The research also included pilot tests, document analysis, and the practical implementation of the CLPC system with continuous monitoring of the production process. The results showed a significant reduction in defects such as solder bridges, missing components, and tombstone effect, as well as improvements in solder paste application uniformity, increased reliability, and positive acceptance by employees. The conclusion indicates that the application of the CLPC system proved effective in automating quality control. By integrating with interoperability and IoT principles, the CLPC aligns with Industry 4.0 practices, thereby contributing to increased efficiency, reduced rework, and enhanced reliability of the final product.
Influence of Pre-Mechanical Exfoliation on the Synthesis of Reduced Graphene Oxide via the Hummers Method
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) VALADÃO, Suelem Cabral; LEITE, Jandecy Cabral
This study investigates the effects of pre-mechanical exfoliation on the synthesis of reduced graphene oxide (rGO) via the Hummers method, employing a hybrid approach combining thermal and mechanical treatments. Initially, graphite was subjected to thermal expansion at 900 °C for 15 minutes, followed by ball milling in the presence of sulfuric acid for 12, 24, and 48 hours. The samples were oxidized using the Hummers method and chemically reduced with ascorbic acid. Characterization was carried out using X-ray diffraction (XRD), Raman spectroscopy, and scanning electron microscopy (SEM). Results demonstrated that the combination of treatments significantly influences the structural and morphological properties of rGO, enhancing exfoliation efficiency and improving the quality of the final material. This hybrid approach is a promising strategy for scalable production of graphene-based materials.
Aplicação da Lógica Fuzzy na Emissão de Notas Fiscais
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOARES, Vera Alana Nobre; BRITO JUNIOR, Jorge de Almeida; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis
Certificate issued by the Brazilian National Institute of Industrial Property (INPI) for the registration of the computer program entitled Application of Fuzzy Logic in Invoice Issuance. Developed in Python, the software aims to apply fuzzy logic principles to improve invoice analysis and issuance, providing greater precision, automation, and reliability to the process. The registration grants legal protection for 50 years under Law No. 9.609/1998, ensuring intellectual property and exploitation rights to ITEGAM and the authors.