Repositório Institucional Galileo

O RIGalileo é uma plataforma dedicada ao armazenamento, preservação e disseminação do conhecimento científico e acadêmico, alinhada aos princípios da Ciência Aberta. O RIGalileo oferece acesso a coleção de recursos, incluindo livros, trabalhos de conclusão de curso, dissertações, teses, artigos científicos, relatórios e documentos resultantes das atividades de pesquisa e desenvolvimento (P&D) do ITEGAM.

 

Comunidades no DSpace

Selecione uma comunidade para navegar por suas coleções

Agora exibindo 1 - 4 de 4

Submissões Recentes

Imagem de Miniatura
Item
Análise das propriedades mecânicas do concreto com adição de seixo e polietileno tereftalato (PET)
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BEZERRA, Antonio Carlos Lapa; ALENCAR, David Barbosa de
The increasing production of plastic waste, particularly Polyethylene Terephthalate (PET), poses a significant environmental challenge due to its long degradation time and negative environmental impact. This study investigates the feasibility of using ground PET as a partial replacement for fine aggregate (sand) in concrete production. Mixtures with 0%, 10%, 30%, and 50% sand replacement by PET were prepared. Tests at 28 days of curing showed that PET addition in certain proportions maintained the required strength and provided environmental benefits, such as reducing natural sand extraction and reusing plastic waste, reinforcing the technical and environmental viability of using recycled PET in concretes.
Imagem de Miniatura
Item
Uso dos conceitos do Lean para a melhoria de serviços educacionais: O caso das escolas públicas do estado do Amazonas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-11) COSTA, Lucas Lima da; VIEIRA JUNIOR, Milton
This study proposes the application of Lean principles and tools to improve educational services in public schools in Amazonas. Focusing on eliminating waste and optimizing processes, it analyzes how Lean can improve quality, reduce costs and promote stakeholder satisfaction. Using case studies, the article highlights results such as reducing waste, increasing efficiency and organization, and challenges related to implementation in educational contexts, emphasizing the importance of adaptive and collaborative approaches.
Imagem de Miniatura
Item
Sistema de irrigação automatizado orientado pela compensação da evapotranspiração da cultura
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA, Edivaldo Amarante da; NASCIMENTO, Manoel Henrique Reis
The imbalance between population growth and agricultural production increases the demand for food, making irrigation efficiency essential for food security. This study develops an automated irrigation system based on the Penman-Monteith method to calculate evapotranspiration and irrigation pulse. An experiment compared methods based on evapotranspiration and accumulated radiation, showing the former was 7% more water-efficient. The system uses an ESP32 microcontroller, radiation, humidity, and temperature sensors, promoting water savings and better agricultural management.
Imagem de Miniatura
Item
Sistema de inferência fuzzy para avaliação da conformidade do ensaio de mostradores de energia, baseado em normas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Márcio André de Oliveira; BRITO JUNIOR, Jorge de Almeida
This dissertation develops a fuzzy inference system to evaluate the compliance of energy meter displays according to the criteria of Portaria 221, May 23, 2022. Using fuzzy logic, the system analyzes variables such as Digit Segment Quality (QSD), sharpness, and functionality, providing a more precise and adaptable evaluation. The model proposes improvements in cost, speed, and scalability by automating the analysis and reducing human errors, standing out as an effective tool for quality control in industrial environments.
Imagem de Miniatura
Item
Sistema de inferência fuzzy para análise dos requisitos técnicos dos taxímetros
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-11) LEITE, Yago Ruan Binda; NASCIMENTO, Manoel Henrique Reis
This research implements a fuzzy inference model to support the preliminary technical analysis of taximeters, aiming for greater accuracy and reliability in inspections according to Ordinance No. 124, March 24, 2022. The methodology was structured in three phases: identification of technical indicators, fuzzy system modeling, and model experimentation. Using Matlab R2013a - Fuzzy Toolbox, variables, fuzzy sets, and inference rules were defined. Results indicated that the model replicates real inspection conditions, reducing subjectivity and promoting uniformity in evaluations.