Livros e capítulo

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

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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.
Multi-Objective Optimization Techniques to Solve the Economic Emission Load Dispatch Problem Using Various Heuristic and Metaheuristic Algorithms
(IntechOpen, 2018) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral
The chapter addresses the economic emission load dispatch problem, focusing on minimizing emission levels and total generation cost in thermal power plants. Various multi-objective optimization techniques, including heuristic and metaheuristic algorithms such as Simulated Annealing, Ant Lion, Dragonfly, NSGA II, and Differential Evolution, are analyzed. The chapter also compares the effectiveness of these approaches through a case study applied to a thermal generation plant.
Maintenance Management with Application of Computational Intelligence Generating a Decision Support System for the Load Dispatch in Power Plants
(IntechOpen, 2019) LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique Reis
This chapter proposes the development of a computational tool to support load dispatch decisions based on the operational conditions of motors and generators in thermal power plants. The tool uses a fuzzy system to classify failure probabilities, based on indicators such as lubricating oil analysis, vibration analysis, and thermography of power generation equipment. The goal is not only to monitor the equipment's condition but also to take corrective actions to maintain service reliability and quality, considering the operating conditions of the equipment.
Sistema fotovoltaico no aeroporto internacional de Manaus: Análise da viabilidade técnica, econômica e ambiental de implantação usando simulação computacional
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2020) FONTINELLE, Carlos Gomes; SILVA, Simone da
The study analyzes the feasibility of implementing a photovoltaic system at the Eduardo Gomes International Airport in Manaus. Two project proposals were developed, considering technical, economic, and environmental factors. Simulation software was used to validate numerical values, and the results indicated that the system's implementation is feasible in all analyzed aspects.
Uma Proposta Inovadora Utilizando Blockchain para a Gestão Financeira em Obras Públicas, Tendo como Base o Sistema Brasileiro
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2020) JÚNIOR, Paulo Oliveira Siqueira; CAMPOS, Paola Souto
The poor investment of funds in public works across different sectors in Brazil is evident due to the concentration of technologies and new methodologies, varying according to the current legislation in each state. This study proposes a blockchain-based methodology to increase confidence in financial data, enabling greater transparency, reliability, and public sector oversight. The blockchain network allows mirroring of revenues and expenses, making financial processes more secure and auditable.
Gestão de estoque como vantagem competitiva em uma confeitaria na cidade de Manaus-AM
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) BAIA, Karla Josiane de Lima; ALENCAR, David Barbosa de
This chapter addresses inventory management in a confectionery located in Manaus-AM, highlighting the importance of proper planning to minimize costs and maximize profits. The research used the BCG Matrix and Production Planning and Control (PPC) to evaluate the confectionery's product portfolio and implement management techniques that ensure efficiency in inventory management, avoiding waste and material shortages. As a result, the confectionery is expected to gain a competitive advantage, staying ahead of competitors and ensuring final customer satisfaction.
Uma Proposta Inovadora Utilizando Blockchain para a Gestão Financeira em Obras Públicas, Tendo como Base o Sistema Brasileiro
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) PARENTE, Ricardo Silva; NASCIMENTO, Manoel Henrique Reis
This chapter presents an innovative proposal for financial management in public works in Brazil using blockchain technology. The objective is to increase transparency and efficiency in the use of public resources, reducing the possibility of corruption and financial deviations. The proposal includes the creation of a blockchain-based system that securely and immutably records and monitors all financial transactions, allowing real-time audits. The study discusses the practical implications of implementing this technology in the public sector and proposes a model adapted to the Brazilian reality.
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.
Probabilidade e Estatística Aplicada a Software
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique Reis
This study proposes to analyze the use of didactic software by teachers and students as a pedagogical support tool in teaching and learning, aiming to alleviate the difficulties in learning descriptive statistics. The research was conducted at the Instituto Federal Ifam, in Manaus-AM, employing a quantitative method, questionnaires, direct observation, and the Minitab software. The results show that teachers in the mathematical sciences field often do not continuously use didactic software, which affects students' learning. The study highlights the importance of using computer labs and didactic tools to enhance statistics education.
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.
WIRELESS – ANÁLISE DE VULNERABILIDADES EM REDES DE COMPUTADORES SEM FIO EM UMA EMPRESA DO POLO DUAS RODAS
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) ALENCAR, David Barbosa de; LEITE, Jandecy Cabral
This article highlights the importance of analyzing vulnerabilities in wireless computer networks to ensure information security and data protection in a specific company. During the project, several vulnerabilities were identified, such as inadequate security configurations, lack of strong authentication, use of outdated encryption protocols, and absence of network segregation. These vulnerabilities represent significant risks to the integrity, confidentiality, and availability of data transmitted and stored in wireless networks. However, through the implementation of appropriate mitigation measures, it is possible to strengthen the security of wireless networks and reduce these risks. It is recommended to update security configurations, such as changing default passwords, using strong encryption, and adopting multi-factor authentication. Additionally, network segregation is essential to protect the internal network against unauthorized access. By following these measures, the company will strengthen the security of its wireless networks, ensuring data protection, information privacy, and business continuity. It is important to emphasize that vulnerability analysis in wireless networks should be an ongoing process, adapting to new threats and technologies, to ensure continuous network security and the protection of the company's information assets.
Reliability Analysis of a Group of Internal Combustion Engines (ICM) in Thermoelectric Power Plants Using Optimization Methods for Artificial Neural Networks (ANN)
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) SILVA, Ítalo Rodrigo Soares; CAMPOS, Paola Souto
This chapter presents a study on the reliability of internal combustion engines in thermoelectric power plants using artificial neural networks (ANN) and optimization methods. The research models engine performance based on operational and environmental variables, aiming to predict failures and optimize predictive maintenance. The results show that applying ANN reduces operational costs and improves energy generation efficiency.
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 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 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.
Manual de Práticas Interdisciplinares de Educação Ambiental
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-11-01) LEMOS, Keveny Ribeiro; LIMA, Alexandra Amaro de
The "Manual of Interdisciplinary Practices in Environmental Education" is a work designed to support educators in the development of pedagogical activities that integrate environmental education in an interdisciplinary way. The manual recognizes the growing importance of environmental education (EE) in the educational scenario, highlighting the need for an approach that goes beyond traditional content and that promotes critical awareness among students about environmental issues. The book is structured to offer elementary and secondary school teachers a series of activities and projects that can be applied in different school contexts, considering the particularities of the institutions, such as availability of physical space and material resources. Divided into five main chapters, the manual covers everything from the theoretical foundations of EA, through the relevant legislation, to the practical application of interdisciplinary activities. Chapter 1 deals with the introduction and importance of EA, while chapter 2 explores the applicability of EA in the school context and its relationship with interdisciplinarity. Chapters 3, 4 and 5 present school profiles and suggest specific activities for each profile, considering the material and logistical conditions of the institutions. These activities range from simple classroom practices to more complex projects that involve the entire school community. The manual emphasizes the importance of developing environmental values from the early grades, preparing students to face global environmental challenges in a critical and conscious way. It also offers a list of films that can be used as teaching resources, in addition to providing bibliographical references for theoretical deepening. The work stands out for its practical applicability, offering educators concrete tools to integrate EA into their daily pedagogical practices, contributing to the formation of more conscious citizens who are engaged in environmental preservation.
Promoting Development and Environmental Awareness in Children with Disabilities: An Approach with Adapted Physical Education and Fuzzy Logic
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) CAMPOS, Paola Souto; LEITE, Jandecy Cabral
This study aimed to develop a fuzzy logic model to evaluate the impact of interventions in Adapted Physical Education and Environmental Education on the development of children with disabilities, covering physical, cognitive, and environmental awareness aspects. Scenario simulations mimicking real conditions and incorporating variables such as motor coordination and understanding of environmental concepts were implemented. The interventions were evaluated using fuzzy rules to measure the impacts on various development dimensions. Although the model was not applied practically with children, validation tests suggest its future applicability in practical studies. Results indicate that integrated and balanced interventions can effectively improve both physical and cognitive development. Fuzzy logic proved to be a robust tool for detailed progress evaluation, indicating that the developed model can significantly contribute to inclusive pedagogical practices and guide educational policies for children with disabilities while reinforcing sustainability in environmental education.
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 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.
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.