Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5
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Item Análise da dispersão dos indicadores de desempenho para a tomada de decisão entre duas ferramentas de modelagem fuzzy Analysis of the dispersion of performance indicators for decision making between two fuzzy modeling tools(Instituto de Tecnologia e Educação Galileo da Amazônia, 2020) SILVA, Ítalo Rodrigo Soares; SIQUEIRA JÚNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de; LEITE, Jandecy Cabral.; LEITE, Jandecy CabralAnalyzing data processing methods and ensuring consistent results is hard work for scientists. The optimization of a process makes a difference regardless of the area being worked on. This research used a comparative method of dispersion analysis to evaluate the performance of two fuzzy modeling tools: the Fuzzylite library and the MatLab® Fuzzy Toolbox. The case study was conducted with the School Adventurers application, which uses the Fuzzylite library for fuzzy inferences. The results indicated that Fuzzylite showed superior performance in terms of dispersion of performance indicators.Item BAYESIAN REGULARIZERS OF ARTIFICIAL NEURAL NETWORKS APPLIED TO THE RELIABILITY FORECAST OF INTERNAL COMBUSTION MACHINES IN THE SHORT-TERM(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) SILVA, Ítalo Rodrigo Soares; NASCIMENTO, Manoel Henrique Reis; FONSECA JÚNIOR, Milton; PARENTE, Ricardo Silva; SIQUEIRA JÚNIOR, Paulo Oliveira;; LEITE, Jandecy CabralThis work proposes a computational model to predict the Reliability Key Performance Indicator (KPI) to identify how available equipment will be in a time span of 22 days. The methodology to be used will be based on analyzes and tests of artificial neural network (ANN) architectures using the Bayesian Regularizers training algorithm, alternating the transfer functions in the hidden layers to find the best state of convergence and the minimum Root Mean Square Error (RMSE) value calculated between the real and simulated outputs. According to the results obtained by the training, validation and test steps, the algorithm presented a RMSE rate of 0.0000104202 and a 99.9% correlation between the real and simulated values, thus the model is able to identify which machine will have the greatest efficiency and less efficiency within the defined time span.Item Application of Automation and Computer Vision in Reducing Failures in the Production Process of Safety Belts(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) SOUZA, Kerlisson Silva de; SANTOS, Eliton Smith dos; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Alyson de Jesus dos; LEITE, Jandecy CabralProduct quality is one of the primary criteria considered by customers when choosing an item and an essential factor for companies to stand out in the competitive market. In the Manaus Industrial Hub (PIM), defect detection in the production of safety belts is a critical stage. This study proposes a solution based on artificial intelligence and computer vision to automate this inspection, ensuring greater efficiency and reliability. An algorithm was developed using Deep Learning (DL), achieving 100% accuracy in defect identification, representing a significant advancement for automated inspection.Item Composting Model with the Reuse of Organic Waste in Rural Schools(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) SIMÕES, Natália Cristina Bezerra de Alencar; ALENCAR, David Barbosa de; BEZERRA, Alberto de Souza; NASCIMENTO, Manoel Henrique Reis; FERRO, Any Karoline Bezerra de Alencar; PINTO JÚNIOR, José Roberto Lira; LEITE, Jandecy CabralSchool institutions generate organic waste due to daily meal consumption. A sustainable alternative is the implementation of a composting model to reuse this waste, generating humus, which can serve as fertilizer for school gardens. This study proposes the implementation of a compost bin in a rural school in Manaus, addressing the development of a prototype, the creation of a guideline manual for compost management, and the implementation of the school garden system. The project aims to raise awareness among the school community about proper solid waste management and reuse, promoting environmental education and behavioral change.Item Evaluation of Radiated Electromagnetic Immunity of the IoT LoRa Protocol(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) RIBEIRO, Jhonatan; SANTOS, Eliton Smith dos; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis do; SANTOS, Alyson de Jesus dos; LEITE, Jandecy CabralWith the advancement of Industry 4.0, industrial automation has transitioned to wireless networks, enhancing flexibility and efficiency. Technologies such as LoRaWAN are widely adopted due to their low power consumption and long-range communication capabilities. However, the increasing density of connected devices presents challenges related to electromagnetic interference (EMI), which can degrade network performance. This study evaluates the radiated electromagnetic immunity of the LoRa protocol, testing Heltec LoRa ESP32 V2 boards according to IEC 61000-4-3 standards. The tests, conducted in an anechoic chamber at frequencies from 80 MHz to 6 GHz with a field intensity of 10 V/m, revealed sensitivity to EMI at specific frequencies (305 MHz and 730 MHz), leading to packet loss and communication failures. These findings highlight the need for enhanced filtering, shielding, and protocol adjustments to improve the robustness of industrial LoRa-based communications.Item Solid Waste Management as an Instrument of Sustainability in Protestant Denominations(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) SILVA, Marcelo Guedes da; ANDRADE, João Bosco Ladislau de; SILVA, Simone da.; LEITE, Jandecy CabralThis study deals with solid waste management in Protestant Christian religious institutions in the city of Manaus, aiming to evaluate how these institutions manage solid waste and whether they carry out any type of waste management. The applied methodology was descriptive, through observation, registration, analysis, and correlation of the studied facts. Eighteen churches were visited, distributed across all areas of the city, and forms and checklists based on the National Policy on Solid Waste (PNRS) were used. The results showed that there is a great possibility for these Christian communities to serve as environmental schools, promoting societal awareness.Item Application of the NARX Model for Forecasting Wind Speed for Wind Energy Generation(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) PARENTE, Ricardo Silva ALENCAR, David Barbosa de SIQUEIRA JUNIOR, Paulo Oliveira SILVA, Ítalo Rodrigo Soares LEITE, Jandecy Cabral; LEITE, Jandecy CabralThe wind energy matrix has been gradually increasing in recent years and its importance for the renewable energy industry is increasingly linked to environmental benefits. This study applies the NARX model to forecast wind speed in the short term and, consequently, wind energy generation. The research used data from the SONDA project (System of National Organization of Environmental Data), organized by INPE, specifically from the Brasília anemometric station, covering the period from February 2005 to March 2019. The results indicate that the NARX model achieved better performance for short-term forecasts of 10 minutes up to 10 steps ahead, providing greater reliability in wind energy delivery for the energy sector.Item Analysis of the Greenhouse Gas Emissions Inventory in a Photographic Paper Finishing Industry in Manaus City(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) MAGALHÃES, Edfran da Cruz SILVA, Simone da; LEITE, Jandecy CabralIn the Manaus Free Zone, the photographic paper processing industry is poorly representative and classified as a Chemical Industry. This sector has environmental aspects throughout its production processes, including the processing of already emulsified photographic papers, transforming them into necessary sizes and formats for printing. This study investigated greenhouse gas (GHG) emissions in scopes 1 and 2 using the Brazilian GHG Protocol Program (PBGHGP) methodology. The analysis revealed that the main source of GHG emissions originates from the use of R410A refrigerant in the cooling system. The research highlights that proper management of these gases is feasible, as the industry has an environmental management system in place for this control.Item Os Impactos Econômicos e Sociais da Repavimentação da BR-319 e Seus Respectivos Desdobramentos Ambientais(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) SOUZA, Luiz Henrique Castelo de SILVA, Simone da; LEITE, Jandecy CabralBR-319 is a highway of great importance for the state of Amazonas and other northern regions, directly influencing social, economic, and environmental aspects. The repaving of this road can bring significant benefits, such as job creation and facilitating regional production flow, reducing freight and passenger transport costs. However, the environmental impacts of reconstruction are concerning, including deforestation, natural habitat degradation, chemical pollution, human encroachment, and increased violence. This study analyzes these impacts and suggests mitigation measures to balance economic development and environmental conservation.Item A contribuição do cadastro ambiental rural para agricultores familiares no estado do Amazonas, Brasil(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) PAIVA, Ana Paula Cardoso Queiroz de LIMA, Alexandra Amaro de SILVA, Daniel Nascimento e; LEITE, Jandecy CabralEnvironmental issues remain a growing agenda worldwide, with a significant focus on the Amazon. However, the human contingent inhabiting this region, particularly family farmers, is often overlooked. The Rural Environmental Registry (CAR) was created as a tool to promote sustainable public policies and enable environmental and land regularization for these communities. This literature review study investigates CAR's contribution to family farmers in the state of Amazonas from a legal and environmental perspective. The results indicate that understanding the legal aspects and registration process of CAR is essential for compliance. The simplified registration process for family farmers facilitates legal compliance, promoting environmental and land tenure regularization and reducing territorial conflicts. The study concludes that implementing the Brazilian Forest Code, with technical support, is crucial for the sustainability of family farming in the Amazon.Item Artificial Neural Networks for Predicting the Generation of Acetaldehyde in PET Resin in the Process of Injection of Plastic Packages(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) NASCIMENTO, Mauro Reis ALENCAR, David Barbosa de NASCIMENTO, Manoel Henrique Reis MONTEIRO, Carlos Alberto; LEITE, Jandecy CabralThe industrial production of preforms for PET bottles requires strict control of the PET resin drying temperature to minimize the generation of acetaldehyde (ACH), a compound that can alter the taste of beverages. This study proposes the use of Artificial Neural Networks (ANN) of the Backpropagation type (Cascadeforwardnet) to support decision-making in controlling the ideal drying temperature. The methodology included data collection from the preform injection process and the application of Computational Intelligence techniques to predict ACH levels. The results demonstrate that ANN can optimize the management of production parameters, reducing waste and improving the quality of the final product.Item Analysis of the Greenhouse Gas Emissions Inventory in a Photographic Paper Finishing Industry in the Manaus City(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) MAGALHÃES, Edfran da Cruz SILVA, Simone da; LEITE, Jandecy CabralIn the Manaus Free Trade Zone, the photographic paper processing industry is classified as a chemical industry and presents environmental aspects in various stages of the production process. This study aims to analyze greenhouse gas (GHG) emissions in a photographic paper finishing industry in Manaus, using the Brazilian GHG Protocol Program (PBGHGP) to inventory and estimate total emissions in Scopes 1 and 2. The results indicate that the main source of GHG emissions in the analyzed industry comes from the consumption of refrigerant gas R410A in cooling systems. The study concludes that, with the implementation of an appropriate environmental management system, it is possible to control and mitigate such emissions, reducing the industry's environmental impact.Item Computational meta-heuristics based on Machine Learning to optimize fuel consumption of vessels using diesel engines(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) SIQUEIRA JÚNIOR, Paulo Oliveira; NASCIMENTO, Manoel Henrique Reis; SILVA, Ítalo Rodrigo Soares; PARENTE, Ricardo Silva; FONSECA JÚNIOR, Milton; LEITE, Jandecy Cabral.; LEITE, Jandecy CabralWith the expansion of river transportation, especially in the case of small and medium-sized vessels that make longer routes, the cost of fuel, if not taken as an analysis criterion for a larger profit margin, is considered a primary factor, considering that the value of fuel, specifically diesel, to power internal combustion engines is high. Therefore, the use of tools that assist in decision-making becomes necessary, as is the case of the present research, which aims to contribute with a computational model of prediction and optimization of the best speed to decrease fuel cost, considering the characteristics of the SCANIA 315 propulsion model, of a vessel from the river port of Manaus that carries out river transportation to several municipalities in Amazonas. According to the results of the simulations, the best training algorithm of the Artificial Neural Network (ANN) was the BFGS Quasi-Newton, considering the characteristics of the engine for optimization with Genetic Algorithm (GA).Item Methodology for inventory risk analysis and management using Excel and Visual Basic modeling(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) LEANDRO, Aurélio Paulo SILVA, Simone da NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy CabralVisual Basic for Applications (VBA) programming, when used in an Excel environment, is a crucial tool for determining inventory classification risks and an excellent alternative given the current shortage of optimization assessment methods for inventory risk classification. This study aims to develop a VBA-Excel application capable of classifying inventory risks, providing data and assertive responses according to organizational concepts. The methodology included field research conducted with small and medium-sized enterprises in Manaus, Amazonas. The experimental research yielded qualitative results and contributes to improving data quality and decision-making speed. This study is expected to foster discussion on the topic and serve as a technical and theoretical reference for users and programmers of Solver and VBA tools.Item Composting Model with The Reuse of Organic Waste in Rural Schools(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021) SIMÕES, Natália Cristina Bezerra de Alencar; ALENCAR, David Barbosa de; BEZERRA, Alberto de Souza; NASCIMENTO, Manoel Henrique Reis; FERRO, Any Karoline Bezerra de Alencar; PINTO JÚNIOR, José Roberto Lira.; LEITE, Jandecy CabralSchool institutions become producers of organic waste as a result of the daily consumption of school meals offered to students during the school year. An alternative to prevent this material from being incorrectly released into the environment is the implementation of a composting model that reuses organic waste, generating humus, which will serve as fertilizer for the implementation of a vegetable garden in rural schools. This work aims to propose a composting model in a rural school in Manaus for the reuse of organic waste, develop a composter prototype for the production of humic substances and mineral nutrients for garden creation, prepare a manual with guidelines for the correct and sustainable management of the composting plant and the school garden, and implement the garden system through the composting process using school organic waste. The work is a case study that seeks to raise awareness among the school community for the proper management and reuse of solid waste generated by the school, as well as to arouse interest in environmental education and behavior change for environmental preservation among students and teachers.Item Digital technologies review for manufacturing processes(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-03-31) PARENTE, Ricardo Silva; UHLMANN, Iracyanne RettoIt is apparent the industrial processes transformations caused by industry 4.0 are in advance in some countries like China, Japan, Germany and United States. But, in return, the developing countries, as the emergent Brazil, seem like to have a long way to achieve digital era. Considering manufacturing processes as the starting point the rise of industry 4.0, this research aims to show a review about the most important technologies used in smart manufacturing, including the main challenges to implement it at Brazil. The papers were collected from Web of Science (WoS), comprising 114 articles and 2 books to underpin this study. This exploratory research resulted in the presentation of some challenges faced by Brazilian industry to join the new industrial era, such as poor technological infrastructure, besides lack of investment in technologies and training of qualified people. Even though the primary motivation of this research was to present a panorama of smart manufacturing for Brazil, this study results contributes to the most of emergent countries, bringing together general concepts and addressing practical applications developed by several researchers from the international academic community.Item Computational meta-heuristics based on Machine Learning to optimize fuel consumption of vessels using diesel engines(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-05-01) SIQUEIRA JUNIOR, Paulo Oliveira; NASCIMENTO, Manoel Henrique Reis; SILVA, Ítalo Rodrigo Soares; PARENTE, Ricardo Silva; FONSECA JUNIOR, Milton; LEITE, Jandecy Cabral;With the expansion of means of river transportation, especially in the caseof small and medium-sized vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision making becomes necessary, as is the case of the present research, which aims to contribute with a computational model of prediction and optimization of the best speed to decrease the fuel cost considering the characteristics of the SCANIA 315 machine. propulsion model, of a vessel from the river port of Manaus that carries out river transportation to several municipalities in Amazonas. According to the results of the simulations, the best training algorithm of the Artificial Neural Network (ANN) was the BFGS Quasi-Newton considering the characteristics of the engine for optimization with Genetic Algorithm (AG).Item Compliance application process as a strategic tool in the management of a third sector organization(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-05-01) MELO, Maria Lidelmar Carvalho de; LEITE, Jandecy Cabral; SILVA, Ítalo Rodrigo Soares; SIQUEIRA junior, Paulo OliveiraAdapting to integrity models that respect the current legislation has become fundamental in the management of organizations as a strategic form, mainly in entities with public and non-profit purposes, in a non-governmental scope. Therefore, the objective is to implement a model for the application of the compliance program in a Third Sector institution. In this way, the present article can be considered in an exploratory, applied and qualitative way, in two aspects, bibliographic research and case study, the data collection was through a meeting and interview with the company's professionals, reporting the importance of the theme. The results showed the main tools and compliance mechanism, proposing actions that can be used in practice with the purpose of providing a broad view of the functioning of the proposed model, with transparency and ethics, thus increasing the competitiveness of the business.Item Composting model with the reuse of organic waste in rural schools(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-11-01) SIMÕES, Natália Cristina Bezerra de Alencar; ALENCAR, David Barbosa deSchool institutions become producers of organic waste as a result of the daily consumption of school meals offered to students during the school year. An alternative, so that this material is not incorrectly released into the environment, is the implementation of a composting model that will reuse organic waste, generating humus, which will serve as fertilizer for the implementation of a vegetable garden in the school in the rural area. This work aims to propose a composter model in a School in the Rural Area of Manaus for the reuse of organic waste, to develop a prototype of composter for the production of humic substances and mineral nutrients for the creation of gardens, to prepare the manual with guidelines for the correct and sustainable management of the composting plant and the school garden and implementing the garden system through the composting process using school organic waste. The work is a case study that proposes to implement a prototype of compost for the production of humic substances and mineral nutrients for the construction of a school garden. It is intended that the proposal raises the awareness of the school community for the correct management and reuse of solid waste generated by the school and arouse in students and teachers the interest in environmental education and behavior change for the preservation of the environment in which they live.Item Embedded Systems for Energy Efficiency of Climate Environments(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) CASTRO, Hilton Barros de; LEITE, Jandecy Cabral; GARCIA, Bianca Figueiredo; LEITE, Jandecy CabralElectricity consumption increases as technology advances, making energy efficiency crucial. This study proposes a system based on hardware and software to control climate environments automatically, reducing electricity consumption, increasing the lifespan of climate control devices, and improving thermal comfort. The developed technology uses sensors to measure ambient temperature, detect human presence, and automatically adjust climate control devices