Livros e capítulo

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

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Resultados da Pesquisa

Agora exibindo 1 - 10 de 42
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    Optimization of Economic and Environmental Dispatch Using Bio-inspired Computer Metaheuristics
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) NASCIMENTO, Manoel Henrique Reis; CAMPOS, Paola Souto
    This chapter addresses the optimization of economic and environmental dispatch in electric power systems using bio-inspired computational metaheuristics. Techniques such as Genetic Algorithms, Particle Swarm Optimization, and Ant Colony-Based Algorithms are analyzed. The study demonstrates how these approaches can reduce operational costs and minimize environmental impacts, ensuring energy efficiency and sustainability.
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    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.
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    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​
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    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​
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    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​
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    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​
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    Sistema de Controle de Temperatura, Umidade e Ruído no Ambiente de Trabalho
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
    Investing in improving the work environment as an approach to increasing organizational performance is no longer a luxury but has become a necessity and a competitive differentiator. Research in the field of ergonomics demonstrates the importance of comfort and effectiveness in using objects in the environment, directly impacting productivity. This study proposes the development of a temperature, humidity and noise control system in the workplace, contributing to the well-being and health of employees, in addition to preventing electronic devices from coming into contact with humidity, prolonging their useful life. The system must be low-cost, using open and efficient technologies, promoting sensing and data acquisition through sensors spread throughout the environment. When an anomaly in established standards is detected, the system notifies responsible technicians, allowing quick action
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    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.
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    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.
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    Utilização de Realidade Aumentada como Ferramenta de Aprendizagem para Criança com Transtorno do Espectro Autista
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) Alencar, David Barbosa de; LEITE, Jandecy Cabral
    This article presents Augmented Reality (AR) as a learning tool for children with Autism Spectrum Disorder (ASD). ASD is a neurological disorder that affects social communication, social interaction, and repetitive and restricted behavior, making the learning process more challenging for these children. AR can be used to create immersive and engaging educational experiences, helping in the development of social skills, interaction with the environment, understanding of concepts, and motor coordination. Studies show that AR has the potential to improve learning and promote social inclusion in these children. However, its use must be accompanied by other pedagogical strategies and ethical and safety implications must be considered.