Livros e capítulo

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/6

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A Implantação do 5S em uma Confeitaria da Cidade de Manaus-AM, Utilizando Ferramentas da Qualidade
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) COELHO, Sarah Marjurye da Silva; ALENCAR, David Barbosa de
This chapter presents the implementation of the 5S program in a confectionery located in Manaus-AM, aiming to improve the organization, cleanliness, and efficiency of the work environment. Using quality tools such as the PDCA cycle and the 5W2H action plan, the study proposes a management model that seeks to reduce costs and increase productivity. The application of 5S proved to be effective in optimizing space and improving employee performance, resulting in a more organized and productive work environment.
A Implantação do 5S em uma Confeitaria da Cidade de Manaus-AM, Utilizando Ferramentas da Qualidade
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) Alencar, David Barbosa de; LEITE, Jandecy Cabral
The study presents the implementation of the 5S program in a bakery in Manaus-AM, aiming at organization, cleanliness and safety in the work environment. The research analyzed the organizational problems that affect productivity and quality, using the 5W2H quality tools and the PDCA cycle to implement improvements. The results demonstrated that the 5S program provided a more organized and productive environment, positively impacting product quality and customer satisfaction.
Aplicações da Visão Computacional nos Sistemas Produtivos: Melhorando a Eficiência e Qualidade da Produção
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
Computer vision, as one of the technologies of Industry 4.0, has the potential to revolutionize production systems, enabling the use of artificial intelligence to interpret and understand images and videos in real time. With applications in object recognition, face detection, motion tracking and much more, this technology brings benefits such as reducing errors, improving product quality, increasing operational efficiency and optimizing logistics processes. However, proper implementation requires considerations on regulations, data protection and ethics, in addition to overcoming technical and financial challenges. In short, computer vision has the potential to improve the efficiency and quality of industrial production, boosting the competitiveness of companies.
Business Intelligence as an Integration Tool for Fault Detection of the Board Assembly Process
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) CAMPOS, Paola Souto; LEITE, Jandecy Cabral
The plate assembly process in the analyzed company has a stipulated goal of 2000 plates per day, and 10% of this production has failures, compromising the management's defined goals. Given this issue, the present study aims to implement an intelligent system for identifying and correcting failures in the board assembly process, based on Business Intelligence (BI), aligned with Industry 4.0 practices. The methodology included Process Mapping and Requirements Analysis for the Implementation of the Integrated System. The system enabled faster and more effective communication with other production process systems, ensuring accurate information for performance optimization and data security. The implementation of this intelligent failure detection system represented a significant step towards Industry 4.0 evolution.
Business Intelligence as an Integration Tool for Fault Detection of the Board Assembly Process
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) PAIXÃO, Elisete da Silva; LEITE, Jandecy Cabral
The plate assembly process in the company in question has a stipulated goal of 2000 plates per day, and 10% of this production has failures, compromising management-defined objectives. This study proposes the implementation of an intelligent system for identifying and correcting failures in the board assembly process using Business Intelligence (BI) tools to advance Industry 4.0 practices. The methodology included Process Mapping and Requirement Analysis for the Integrated System Implementation. The integrated system enabled faster and more effective communication with other production systems, providing assertive information for data security and usability. The application of BI represented a significant step towards automation and continuous improvement in the industrial environment.
Controle de Temperatura para Refrigeração de Data Centers Usando Microcontroladores
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
This article presents the implementation of a temperature control system for cooling data centers using microcontrollers, covering technical and practical aspects. Data centers are essential for storing and processing data, but they generate high amounts of heat, impacting equipment performance and increasing costs. The implementation of temperature control systems based on microcontrollers is an efficient and sustainable alternative, providing greater energy efficiency and extending the useful life of equipment. The article discusses selecting suitable sensors and microcontrollers, efficient software development, hardware installation, and integration with existing control systems, offering a practical guide for data center administrators
Desenvolvimento de Políticas de Segurança da Informação: Implementação de Políticas de Segurança da Informação em Organizações para Proteção de Dados e Informações Sensíveis
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) ALENCAR, David Barbosa de; LEITE, Jandecy Cabral
This article discusses the importance of information security policies in protecting sensitive data and information in organizations. It highlights the need to implement clear and comprehensive policies that establish appropriate guidelines and procedures to protect information assets. Additionally, it discusses the relationship between the implementation of these policies and compliance with specific regulations and standards, avoiding legal and financial consequences resulting from security breaches. A case study in the financial sector demonstrates the improvement in data protection and compliance with regulations after the implementation of more comprehensive policies. Employee engagement and continuous policy evaluation are also addressed as key elements to strengthen the security culture.
DESENVOLVIMENTO DE SISTEMA DE CONTROLE DE DRONES PARA ENTREGA DE PRODUTOS COM MICROCONTROLADORES
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ALENCAR, David Barbosa de; LEITE, Jandecy Cabral
This chapter discusses the development of a control system for drones aimed at product delivery, using microcontrollers as the technological base. The goal is to improve logistics processes, reducing delivery time and optimizing operations in hard-to-reach areas. The proposed solution is based on programming microcontrollers for flight control and automated navigation. The results demonstrated the system's feasibility, highlighting the precision and efficiency of drones in small-scale distribution tasks.
Desenvolvimento de Sistema de Visão Computacional para Ambulâncias com Reconhecimento Facial para Geração Automática de Prontuário do Paciente
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
This article presents the development of a computer vision system with facial recognition for ambulances, with the aim of automatically identifying the patient and generating a complete electronic medical record. Facial recognition technology has stood out in the health area, providing benefits such as agility in identifying patients in emergency situations and the automatic generation of electronic medical records, which assist health professionals in providing more effective and personalized treatments. The article addresses the technical concepts and challenges related to the privacy and security of patient data. Tests and evaluations were carried out to measure the effectiveness and performance of the system, demonstrating its viability and benefits in emergency care.
DESENVOLVIMENTO DE SMARTS CONTRACTS E TOKENS NA REDE ETHEREUM
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) ALENCAR, David Barbosa de; LEITE, Jandecy Cabral
This article explores the development of smart contracts and tokens on the Ethereum network, highlighting the benefits of automation of agreements, elimination of intermediaries, transparency, and security provided by blockchain technology. Challenges such as scalability, privacy, and security are discussed, along with the possibilities of building innovative decentralized applications. The research adopted an approach of collecting primary and secondary data, including interviews with experts and analysis of existing smart contracts.
DESENVOLVIMENTO DE UM APLICATIVO MÓVEL DE RECICLAGEM PARA CIDADE DE MANAUS UTILIZANDO A LINGUAGEM KOTLIN
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ALENCAR, David Barbosa de; LEITE, Jandecy Cabral
This chapter presents the development of a mobile application to encourage recycling in the city of Manaus, using the Kotlin programming language. The objective was to create a technological solution that facilitates selective collection and promotes environmental awareness. The methodology included analyzing user needs, designing the interface, and implementing the application. The results indicated that the tool can significantly contribute to reverse logistics and proper waste disposal.
Desenvolvimento de um Sistema de Automação Residencial com I.A. para Detectar Quedas de Idosos e Envio de Alertas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
The article presents a proposal for the development of a home automation system using Artificial Intelligence (AI) to detect falls in the elderly. This system aims to ensure the safety and well-being of the elderly, who face a high risk of falls and their consequences for health and quality of life. With the aging of the population worldwide, the implementation of technological solutions that can assist in the care of the elderly is increasingly necessary. AI is a promising technology for identifying behavior patterns and accurately detecting falls, and can send alerts to caregivers or family members in real time. In addition, the integration of the system with other home automation devices can further improve the safety and comfort of the elderly. Recent studies also show the effectiveness of technology in detecting falls in the elderly and improving their quality of life.
Desenvolvimento de um Sistema de Automatização de Esteira de Linhas de Produção Utilizando Microcontroladores para a Separação por Sistema de Etiqueta de Cores
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
The development of automation systems using microcontrollers has been widely adopted by industries as a strategy to improve efficiency and reduce production costs. In this context, the use of color labeling systems stands out as an efficient solution for separating products in production lines, especially when it comes to products with subtle differences. This article presents the development of a production line conveyor automation system using microcontrollers for separation using a color label system, highlighting its advantages and benefits for the industry. The developed system demonstrated high accuracy in detecting and separating products by color, resulting in reduced errors and guaranteed quality of the final product. Furthermore, automation provided increased efficiency and productivity, decreased cycle time, optimized workflow and reduced human errors. The successful integration of the system with the existing production line and the economic feasibility analysis indicated that the implementation of this system is viable and promising, bringing long-term benefits, such as cost reduction and increased efficiency in industrial production
Desenvolvimento de um Sistema de Controle de Temperatura de Salas Utilizando Tecnologia RFID
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
This article presents the development of a room temperature control system based on Radio Frequency Identification (RFID) technology. The goal of the system is to provide a more efficient and intelligent management of temperature, aiming for energy efficiency and user comfort. The RFID technology is an automatic identification system that uses radio signals to retrieve data stored in electronic tags. The main advantage of RFID compared to traditional temperature control methods is the capability for automated real-time reading and tracking, enabling precise monitoring and control of temperature in various rooms. The article discusses the fundamental concepts of this technology, its relevant applications for temperature control in rooms, the technical characteristics necessary for the implementation of the system, and the ethical and security considerations related to the collected data.
Desenvolvimento de um Sistema de Gestão Quantitativo para a Equipe de Enfermeiras do Pré-Natal de Alto Risco da Cidade de Manaus-AM
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
This article aims to present the development stages of the project to create a system to record diagnoses in the high-risk pregnancy sector of the Codajás Polyclinic, in the city of Manaus-AM. Technologies such as frameworks, object-oriented programming languages and IDEs were used, working based on use case diagrams, entity and relationship, mapping and data dictionary, in addition to the creation of tables for the database. The development process included the participation of a nurse working in the sector, who provided essential information for the survey and validation of requirements, as well as for the validation of user interaction screens and system functionalities. The system developed seeks to solve problems of inconsistency and data loss, providing more precise control and improving the quality of the information used for decision-making in the health sector.
Desenvolvimento de um Sistema de Monitoramento de Carga em Baterias Fotovoltaicas Utilizando Python
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) David Barbosa de; LEITE, Jandecy Cabral
The article presents a Load Monitoring System for Photovoltaic Batteries developed in Python, aiming to provide users with precise and real-time information about the charge status of the batteries. This system is particularly relevant due to the increasing adoption of photovoltaic solar energy as a renewable energy source, allowing the optimization of photovoltaic systems' performance and contributing to more efficient energy consumption management.
Desenvolvimento de uma Aplicação Web para Gerenciamento de Frotas e Carregamentos em Empresas de Pavimentação
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
In this project, we propose the development of a web application for paving companies, with the aim of efficiently managing fleets and shipments of asphalt mix. This solution will centralize information, allowing agile and accurate decision-making, facilitating communication between the work site and the asphalt plant. With real-time access to data, the application will optimize processes, based on requirements, related studies and bibliographic research, developing an accessible and effective tool for logistics management in the paving sector
Desenvolvimento de uma Aplicação Web Voltada para Monitoramento Emocional dos Pacientes em Saúde Mental para Avaliar a Eficácia dos Tratamentos
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
The development and use of web systems for mental health monitoring raise important ethical questions that must be considered by professionals and researchers involved in this area. Literature review is a useful methodology for investigating these questions, allowing for a comprehensive and up-to-date analysis of existing studies. The main ethical challenges related to the use of web systems for mental health monitoring include the collection and use of sensitive data, the lack of regulation and the possibility of discrimination and stigmatization of users. It is essential that the developers and professionals involved adopt practices and policies that promote the protection of users' rights and transparency in the use of data. Furthermore, it is important that research is carried out to assess the impact of these systems on the well-being of users and the quality of mental health services. The benefits and risks of online mental health monitoring must be carefully evaluated, and users' privacy and confidentiality must be protected. The ethics of online mental health monitoring require a deeper understanding of privacy and informed consent issues. Therefore, it is essential that professionals and researchers in this area continue to investigate and discuss ethical issues related to the use of web systems for mental health monitoring, in order to guarantee their effectiveness and safety, as well as respect for users' rights and privacy
Different Deterministic Optimization Methods for Economic Load Dispatch, Switching Off Less Efficient Generators
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
This chapter discusses different deterministic optimization methods applied to economic load dispatch, focusing on switching off less efficient generators. The study investigates the efficiency of methods such as linear programming, quadratic programming, and other mathematical approaches to reduce operational costs and improve energy efficiency in power generation systems. The research highlights how optimization can contribute to more cost-effective and environmentally friendly decision-making, proposing strategies to integrate these methodologies into power generation systems.
Different Deterministic Optimization Methods for Economic Load Dispatch, Switching Off Less Efficient Generators
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2017) LEITE, Jandecy Cabral; CAMPOS, Paola Souto
The Economic Load Dispatch (ELD) is one of the most important optimization and operational decision tasks in power systems. This study compares various deterministic mathematical optimization methods, including Lambda Iteration, Newton’s Method, and Quadratic Programming, to solve the ELD problem. The analysis considers both the traditional methodology and a proposed approach that includes turning off less efficient generators to reduce costs and improve system efficiency.