Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5
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173 resultados
Resultados da Pesquisa
Item Development of Intelligent Devices for Communication and Data Pre-Processing in the Process of Electronic Meter Testing(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) RAMOS JUNIOR, Juarez da Silva; LEITE, Jandecy Cabral; GOMES, Marivan Silva; PAULA, Railma Lima de; CARVALHO, Michael da Silva; SILVA, Ítalo Rodrigo Soares; SIQUEIRA JUNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; MIRANDA, Luís Gabryel dos Santos; LEITE, Jandecy CabralThis study investigates the development of intelligent devices for communication and data pre-processing in electronic meter testing. The research addresses the lack of efficient communication between electronic devices and the need for information synchronization to support decision-making in Industry 4.0. The article presents the development of a Lean Manufacturing Intelligent System, integrating API and machine learning algorithms for demand forecasting and process optimization. The results include embedded firmware for data collection, forecasting algorithms, and an interactive dashboard for production monitoring. The proposed solution aims to reduce costs and improve product quality.Item Application of Deep Neural Network in Intelligent System with Production Dashboard(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) RAMOS JUNIOR, Juarez da Silva; LEITE, Jandecy Cabral; GOMES, Marivan Silva; PAULA, Railma Lima de; CARVALHO, Michael da Silva; SILVA, Ítalo Rodrigo Soares; SIQUEIRA JUNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; MIRANDA, Luís Gabryel dos Santos; LEITE, Jandecy CabralLean Manufacturing is a strategic methodology aimed at reducing production waste, ensuring product quality, and optimizing delivery times. However, many electronic meter manufacturing companies lack the necessary technologies to effectively implement this methodology. This study proposes the development of an Intelligent Lean Manufacturing System based on the requirements of a Manufacturing Execution System (MES), utilizing technologies such as Artificial Intelligence, the Internet of Things, and Embedded Systems. The system enables real-time decision-making for production control and management, reducing costs and improving product quality.Item Desenvolvimento de um Dispositivo Inteligente de Monitoramento de Energia Elétrica Integrado à Plataforma SGE com Aplicação da Lógica Fuzzy para Tomada de Decisão na Gestão Energética da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SANTOS JUNIOR, Hélio Andrade dos; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SANCHES, Antônio Estanislau; LEITE, Jandecy CabralEfficient management of electrical energy in industrial environments is a crucial challenge, exacerbated by the continuous increase in consumption and frequent inefficiencies in resource utilization. In this context, Industry 4.0 and Smart Grids emerge as promising approaches, integrating advanced digital technologies to optimize energy production, distribution, and consumption. This study developed and validated a portable electrical energy monitoring device integrated into the SGE platform, applying fuzzy logic to support real-time decision-making. The device demonstrated the ability to conduct detailed analyses of energy consumption and efficiency, enhancing the accuracy in detecting losses and critical inefficiency points.Item Sistema Ciber-Físico na Indústria 4.0 - Aplicado em Testes de Rigidez Dielétrica em Unidades Evaporadoras de Aparelhos de Ar-Condicionado(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ALENCAR, Wanderson Grey Rodrigues de; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SANCHES, Antônio Estanislau; LEITE, Jandecy CabralCyber-physical systems (CPS) play a central role in the digital transformation of Industry 4.0, especially in industrial sectors such as HVAC (heating, ventilation, and air conditioning). This study presents the application of CPS in dielectric strength testing of air conditioning evaporator units, essential for ensuring equipment safety and efficiency. The main objective was to develop an automated control system integrating CPS to monitor and optimize these tests, overcoming the limitations of traditional methods. The proposed system demonstrated significant improvements in accuracy, safety, efficiency, and traceability.Item Aplicação da Teoria dos Jogos no Gerenciamento do Contexto das Altas Temperaturas na Cidade de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOUZA, Amós Ribeiro de; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; SOUZA, Silvia Cristina Matos de; LEITE, Jandecy CabralThe city of Manaus faces increasing challenges related to high temperatures, intensified by climate change and unplanned urbanization. Efficient management of this context is essential to mitigate negative impacts on the population and the environment. This study employs Game Theory as a strategic tool to model interactions among government, businesses, NGOs, and the population. Through simulations and Nash equilibrium analysis, feasible cooperative strategies were identified to minimize climate impacts and guide more sustainable public policies, promoting a balance between economic development and environmental preservation.Item Aplicação de Controle Fuzzy em Microgrids Solares como Auxílio na Mitigação de Interrupções em Comunidades Isoladas no Amazonas à Portaria Nº 140/2022(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA NETO, Oswaldo Wanderley da; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; BRITO JÚNIOR, Jorge de Almeida; SANCHES, Antonio Estanislau; LEITE, Jandecy CabralIsolated communities in the Amazon face significant challenges in accessing reliable energy due to logistical difficulties and lack of infrastructure. Photovoltaic microgrids emerge as a viable alternative but suffer from instability and frequent interruptions caused by environmental variability. This study investigates the implementation of fuzzy control in these systems to mitigate supply failures and improve operational efficiency, in compliance with INMETRO's Portaria No. 140/2022. The results show that fuzzy control is a promising solution to enhance the reliability and sustainability of energy in isolated communities.Item Análise das propriedades mecânicas do concreto com adição de seixo e polietileno tereftalato (PET)(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) BEZERRA, Antonio Carlos Lapa; ALENCAR, David Barbosa de; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; BEZERRA, Eliane Sigrid Lacerda dos Reis; BEZERRA, Carlos Gabriel dos Reis; LEITE, Jandecy CabralThe increasing accumulation of plastic waste, particularly PET, represents a significant environmental challenge due to its long degradation time and the negative impacts of improper disposal. This study explores the feasibility of partially replacing sand with ground PET in concrete, focusing on its effects on compressive strength and workability. Four concrete compositions were tested: one without PET and three with 10%, 30%, and 50% PET, adhering to ABCP standards. The results demonstrated that PET addition, in certain proportions, maintained the required strength while reducing environmental impacts, highlighting the sustainable potential of recycled PET in construction.Item Aplicação da lógica Fuzzy na emissão de notas fiscais em processos administrativos na Indústria Lean Office 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOARES, Vera Alana Nobre; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; LEITE, Jandecy CabralIndustry 4.0 has brought the need to integrate advanced technologies to improve the efficiency and agility of administrative processes. This study proposes the application of fuzzy logic to optimize the issuance of invoices, a critical process that faces challenges such as manual errors, delays, and high costs. A fuzzy model was developed that identifies key variables, applies inference rules, and tests the solution in a real environment with operational data. The results indicate a significant reduction in errors and processing times, in addition to gains in tax compliance and customer satisfaction.Item Application of Ergonomic Work Analysis in Automotive Industry Processes Using Computational Intelligence for Decision Making(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) PINTO, Leandro Soares; LEITE, Jandecy Cabral.; LEITE, Jandecy CabralErgonomics has proven to be increasingly important for industrial processes worldwide. The evolution of machinery and equipment has caused several occupational health disorders at work. Therefore, it is extremely important to conduct a comprehensive reading of workstations and use ergonomic analysis tools. The objective of this article is to apply the technological resources of fuzzy logic to the results found in the Ergonomic Work Analysis (AET) in seven workstations in the automotive industry of the Manaus Industrial Pole (PIM). The applied methodology is based on the use of the Suzanne Rodgers ergonomic tool and mathematical models characterized by Fuzzy Inference for decision-making on various disorders that occur with workers' health. The results found in the "Suzanne Rodgers" ergonomic tool applied to the movement of upper and lower limbs, together with the application of Fuzzy Logic, showed that the linguistic variables by colors and the legend that classifies ergonomic risks are useful for comparison and discussion of the importance of ergonomic processes for the benefit of the worker in the automotive industry.Item Análise da dispersão dos indicadores de desempenho para a tomada de decisão entre duas ferramentas de modelagem fuzzy Analysis of the dispersion of performance indicators for decision making between two fuzzy modeling tools(Instituto de Tecnologia e Educação Galileo da Amazônia, 2020) SILVA, Ítalo Rodrigo Soares; SIQUEIRA JÚNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de; LEITE, Jandecy Cabral.; LEITE, Jandecy CabralAnalyzing data processing methods and ensuring consistent results is hard work for scientists. The optimization of a process makes a difference regardless of the area being worked on. This research used a comparative method of dispersion analysis to evaluate the performance of two fuzzy modeling tools: the Fuzzylite library and the MatLab® Fuzzy Toolbox. The case study was conducted with the School Adventurers application, which uses the Fuzzylite library for fuzzy inferences. The results indicated that Fuzzylite showed superior performance in terms of dispersion of performance indicators.