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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463 resultados
Resultados da Pesquisa
Item Desenvolvimento de um sistema inteligente para secagem e cura autônoma na fabricação de produtos autoadesivos(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOUZA, Raimundo Alberto Farias de; SANTOS, Eliton Smith dosThe production of reflective strips requires high precision and efficiency, especially for traffic signage and automotive applications. However, traditional drying and curing methods for chemical layers, such as paints and varnishes, rely on long outdoor periods, compromising product quality and reducing productivity. This study proposes the development of an integrated hardware and software model that allows automatic detection of the curing level, using controlled light radiation sources to accelerate the drying process and ensure greater uniformity. The research includes the creation of a controlled environment prototype and a Human-Machine Interface (HMI) monitoring system to optimize industrial production. The theoretical foundation is based on the application of ultraviolet (UV) photopolymerization technology, aiming to improve product quality, production efficiency, and process sustainability.Item Proposta de uso dos conceitos do Lean para a melhoria de serviços educacionais em escolas públicas do Estado do Amazonas(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) COSTA, Lucas Lima da; VIEIRA JUNIOR, MiltonGiven the challenges faced by public schools in the state of Amazonas in offering quality educational services, it is essential to adopt innovative approaches to diagnose problems, propose solutions and promote improvements. The lean concept, originally developed in the industrial sector with a focus on eliminating waste and optimizing processes, is a suitable methodology for improving educational services. This study proposes the application of lean principles and tools with the aim of increasing the quality of the services provided, reducing costs and increasing the satisfaction of those primarily involved in the educational process, analyzing their effectiveness in the context of public schools in Amazonas. Semi-structured interviews were conducted with employees of the institutions, with the aim of identifying waste that impacts on the services provided. Based on the analysis, a framework was developed with practical recommendations for implementing lean in schools, offering an accessible solution that aims to promote process optimization and continuous improvement in the educational environment.Item Development of an Intelligent Monitoring System for Determining the Optimal Slaughter Time of Production Animals Using Computer Vision and Artificial Intelligence(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) FARIAS, Djalma Farias; NASCIMENTO, Manoel Henrique ReisBeef cattle farming faces challenges in optimizing production while meeting demands for meat quality and animal welfare. This research developed an intelligent monitoring system based on computer vision and artificial intelligence to determine the optimal slaughter time for Nelore cattle. The system employs 3D cameras and deep learning algorithms to monitor animal development in real time, replacing traditional manual weighing and visual inspection methods. A cost-benefit analysis showed a return on investment (ROI) of 268.42% over five years, demonstrating financial viability, increased productivity, and improved meat quality, while reducing waste and improving animal welfare.Item Unified System for Detecting and Mitigating Evil Twin Attacks on Industrial Wi-Fi Networks with IoT/IIoT(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA JÚNIOR, Walter Claudino da; NASCIMENTO, Manoel Henrique ReisWi-Fi network security in industrial environments has become a critical challenge in the era of digital transformation, especially with the widespread adoption of IoT and IIoT devices. The Evil Twin attack, which creates fraudulent access points identical to legitimate ones, poses a serious threat to confidentiality and availability in industrial systems. This study proposes a Unified Detection and Mitigation System (UDMS) that integrates RADIUS-based robust authentication, continuous monitoring using Snort intrusion detection system, and centralized access management via Active Directory. Tested in five progressive scenarios, the system reduced attack success rates from 87% (WPA2-PSK) to just 2%, while maintaining latency below 400ms, with low false positive (6%) and false negative (3%) rates. The research provides a practical framework for securing industrial Wi-Fi networks without compromising operational performance.Item Ozonização como processo de desinfecção da água para consumo humano: eficiência e sustentabilidade(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) FERREIRA, Arthur Joaquim de Araújo; RODRIGUES, Fábio; SILVA, Simone daWater disinfection is essential to eliminate pathogenic microorganisms and ensure sanitary safety. Among emerging technologies, ozonation stands out due to its high efficiency and environmental sustainability. This study analyzes the effectiveness of ozone application in water disinfection in Itajaí/SC, addressing its physicochemical principles, technical-economic feasibility, and environmental impacts. The methodology combined literature review, experimentation, and case study, showing that ozonation is more effective than chlorine, especially against resistant pathogens, and reduces toxic byproducts while providing synergistic effects when combined with other methods. It concludes that ozonation is a viable and sustainable alternative for sanitation, contributing to the improvement of drinking water quality.Item Automation and Intelligent Control in Drying and Curing of Paints and Varnishes: Application of Industry 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOUZA, Raimundo Alberto Farias de; SANTOS, Eliton Smith dosThis study investigates the technologies, methods and challenges involved in drying and curing paints and varnishes applied to reflective strips, with emphasis on Industry 4.0-based solutions. It proposes an integrated hardware–software model for automatic detection of curing level through light radiation. A controlled-environment prototype and real-time control system aim to optimize the process, accelerate UV photopolymerization and improve product quality.Item Proposta de Implantação da Tributação Ambiental como Ferramenta de Incentivo na Conservação e Desenvolvimento Sustentável: um Estudo de Caso sobre Potencialidade do IPTU Verde na Cidade de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) MONTEIRO, Ciro Allister Reis; LEITE, Jandecy CabralThis work reflects on the implementation of the Green IPTU as a public policy instrument to promote environmental conservation and sustainable development in the city of Manaus. Using a qualitative and quantitative approach, a case study is conducted based on Bill No. 248/2013, which proposes partial tax exemption for properties that adopt sustainable practices. The research discusses the legal, economic, and socio-environmental feasibility of environmental taxation, with emphasis on the polluter-pays principle and the socio-environmental function of urban property, as established in the Federal Constitution. It analyzes aspects such as the impact of tax exemptions on municipal revenue, public awareness, and the criteria for adherence to the benefit. The study contributes to the debate on environmental public policies in the Amazonian urban context, highlighting the role of taxation as an extrafiscal instrument capable of inducing sustainable behaviors and mitigating environmental damage in citiesItem Análise dos Desafios na Transição para Indústria 4.0: um Estudo Sobre a Integração de Sistemas de Custeio em Ambientes Automatizados(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Maeli Oliveira da; MARINELLI FILHO, NelsonThis paper analyzes the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. Through the analysis of heat maps applied to an industrial costing spreadsheet for electronic components, the study identifies and categorizes inconsistencies that reflect broader structural challenges of industrial digital transformation. The methodology was based on the application of data visualization techniques to identify null and zero values at different stages of the migration process. The results reveal seven critical categories of inconsistencies: interoperability issues, complexity in the allocation of indirect costs, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to the dynamics of Industry 4.0. It was concluded that such inconsistencies represent significant barriers to a successful transition, especially in industries with a high degree of automation. The study proposes a framework for assessing and mitigating these challenges, contributing to the literature on digital transformation in the Brazilian industrial context.Item Técnicas da Indústria 4.0 aplicadas na melhoria do processo de corte dos terminais das baterias de íon-Lítio(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) MACIEL, Lincoln Fabio Luiz; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa deSoftware registration using Industry 4.0 techniques to improve the terminal cutting process in lithium-ion batteries, developed in C++ and focused on industrial applications in areas AD-06, IN-01, and IN-05.Item Aplicação de Inferência Fuzzy Para Tomada de Decisão em Processos de SMT(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) LEITE, Herbety Lima; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de; BRITO JUNIOR, Jorge de AlmeidaSoftware developed in Python applying fuzzy inference for decision-making processes in SMT (Surface-Mount Technology), targeting industrial process optimization. The registration is recognized under Brazilian intellectual property law and categorized within engineering and automation domains.