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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Resultados da Pesquisa

Agora exibindo 1 - 10 de 466
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    Sistema de Visão AI-Powered para Correção de um Dispensador de Adesivos Axxon para SMT em uma Indústria do Pólo Industrial de Manaus - PIM
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) BRITO, Hallisom Luniere; BRITO, Ynara Silva Luniere; MAUES, Elvis Jardim; VIEIRA JUNIOR, Milton
    This paper presents the development and application of an intelligent system based on computer vision and artificial intelligence for monitoring and automatic correction of the adhesive application process on printed circuit boards (PCB) in the electronics industry. The adhesive application process is essential for the precise fixing of components, and eventual failures can compromise the quality and performance of the final products. To automate visual inspection and reduce the occurrence of human errors, a convolutional neural network (CNN) model trained with real images of the production line was developed, capable of identifying correct patterns and failures in the application of the adhesive. The system integrates highresolution cameras, image processing software and a control interface, enabling real-time monitoring and the execution of automatic corrective actions. The results obtained demonstrate the effectiveness of the proposed system, with a high level of accuracy in detecting faults, contributing to improving the quality of the production process and aligning with the principles of Industry 4.0. The research concludes that the adoption of intelligent systems based on computer vision represents a significant advance for quality control in the manufacturing of electronic devices.
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    DESENVOLVIMENTO DE UM SISTEMA DE MONITORAMENTO DE PARADAS DE MÁQUINAS EM LINHAS DE PRODUÇÃO APLICADO AO PROCESSO DA INDÚSTRIA 4.0
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Valdir Francelino da; SILVA, Simone da
    In today's industry, optimizing production requires efficient control of machine downtime. Considering the example of a mobile charger factory, where frequent downtimes occur due to equipment failures, it is essential to implement a system that provides real-time data to support decision-making. In this context, this project addresses the issue of frequent machine stoppages in production lines, a significant challenge for operational efficiency in modern industry. The research highlights the importance of a monitoring system that can reduce downtime and optimize production, with the central objective of developing a robust system that provides realtime data on the condition of machines, enabling quick intervention and preventive maintenance. To achieve this objective, methods such as the implementation of intuitive dashboards and the analysis of key performance indicators, such as MTBF Mean Time Between Failures and MTTR - Mean Time to Repair, will be employed. This work aims to demonstrate the effectiveness of the proposed system by reducing machine stoppages and improving overall operational efficiency, contributing to an increase in OEE Overall Equipment Effectiveness, leading to more stable and reliable production.
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    Análise de Viabilidade Econômico-financeira e de Maturidade para Implementação de Conceitos Indústria 4.0
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) TAHE, Thyago Mileo; CAD, Sandra Viana; NASCIMENTO, Manoel Henrique Reis
    The adoption of Industry 4.0 technologies and concepts has proven to be an effective strategy for increasing the competitiveness of industrial corporations. However, many industries still face difficulties in assessing, in a simple yet structured manner, both the economic and financial viability and their level of maturity for adopting these technologies. This research aimed to develop a simplified model capable of analyzing, in an integrated manner, the financial viability and the level of organizational maturity for Industry 4.0 technologies implementation of industries in the electronics sector. The proposed model combines Return on Investment (ROI), a traditional tool for analyzing economic and financial viability, with TOE (Technology, Organization and Environment), a method for assessing maturity for adopting new technologies. The study carried out a case study of an electronics industry in the Industrial District of Manaus. This industry has already begun its technological transition to Industry 4.0 but has not previously applied any feasibility analysis method. The results of this case study indicate that the investment has a highly positive return, and that the organization is at an appropriate level to continue implementing Industry 4.0 technologies.
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    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 dos
    The 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.
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    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, Milton
    Given 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.
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    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 Reis
    Beef 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.
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    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 Reis
    Wi-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.
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    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 da
    Water 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.
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    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 dos
    This 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.
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    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 Cabral
    This 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 cities