PPG.EGPSA/ITEGAM

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/1

A comunidade dispõe da produção técnica e científica do Programa de Pós-graduação em Engenharia, Gestão de Processos, Sistema e Ambiental (PPG.EGPSA) do Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM), fruto da atividade de pesquisa e desenvolvimento (P&D). É possível acessar os trabalhos de conclusão do programa de pós-graduação, artigos e livros vinculados a pesquisa, desenvolvimento, inovação e extensão.

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Agora exibindo 1 - 20 de 33

Algoritmo de Avaliação Ergonômica de Trabalho (AET)
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-02-14) PINTO, Leandro Soares; LEITE, Jandecy Cabral; PARENTE, Ricardo Silva; http://lattes.cnpq.br/9725512588492306; http://lattes.cnpq.br/7279183940171317
This document describes a computer program registered under number BR512023001315-3, whose objective is to ergonomically evaluate working conditions using a specialized algorithm. The Ergonomic Work Assessment Algorithm (AET) was developed to identify and analyze ergonomic risk factors in various work activities, promoting occupational health and preventing work-related diseases. Through detailed analysis, the program helps to implement improvements in the work environment, contributing to the safety and well-being of workers. Program registration is valid for 50 years from January 1, 2023.
Algoritmo de Previsão da Confiabilidade de Motores (APCM)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-05-09) SILVA, Ítalo Rodrigo Soares; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
Registration of computer program registered with the National Institute of Industrial Property (INPI), work derived from the dissertation "KPI reliability prediction model in a group of internal combustion machines using artificial neural network techniques in thermoelectric plants".
Algoritmo de Previsão de Velocidade do Vento - HW+NARX
(Instituto Nacional da Propriedade Industrial (INPI), 2021-06-27) PARENTE, Ricardo Silva; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
This document describes a computer program registered under number BR512023001329-3, which presents an algorithm for forecasting wind speed using a combination of exponential smoothing methods (Holt-Winters, HW) and autoregressive neural networks with exogenous inputs (NARX) . The goal of the program is to improve the accuracy of wind speed predictions, which is crucial for diverse applications such as wind energy and climate monitoring. The combination of HW+NARX methods provides a robust approach, capable of dealing with the variability and complexity of meteorological data. Program registration is valid for 50 years from January 1, 2022.
Algoritmo para a Avaliação da Sustentabilidade Econômica em Reserva Extrativista (SERE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-12-15) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document describes a computer program registered under number BR512024000611-7, which implements an algorithm for assessing economic sustainability in extractive reserves, known as SERE. The objective of the program is to monitor and analyze economic indicators of sustainability in reserve areas, assisting in decision-making to ensure the economic viability of sustainable extractive practices. SERE is a crucial tool for managers and researchers seeking to balance economic exploration with environmental conservation in extractive reserves. Program registration is valid for 50 years from January 1, 2024.
Algoritmo para a Avaliação da Sustentabilidade Institucional em Reserva Extrativista (SIRE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-12-15) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document describes a computer program registered under number BR512024000612-5, which implements an algorithm for assessing institutional sustainability in extractive reserves, known as SIRE. The objective of the program is to monitor and analyze institutional sustainability indicators in reserve areas, offering support for the efficient and sustainable management of these areas. SIRE is a valuable tool for managers and researchers, allowing data-based decisions to be made to ensure the long-term sustainability of institutions that manage extractive reserves. Program registration is valid for 50 years from January 1, 2024.
Algoritmo para a Avaliação da Sustentabilidade Social em Reserva Extrativista (SSRE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-05-12) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document is a Computer Program Registration Certificate issued by the National Institute of Industrial Property (INPI) of Brazil, referring to the "Algorithm for the Assessment of Social Sustainability in an Extractive Reserve (SSRE)". The certificate ensures the program's registration for 50 years, valid from January 1st following December 15th, 2023, as provided for in Law No. 9,609/1998. Developed by the Galileo da Amazônia Institute of Technology and Education (ITEGAM), the algorithm was created on May 12, 2023 and is implemented in the MATLAB language. The document also includes a hashed digital digest (SHA-512) to ensure the authenticity and integrity of the recorded content.
Algoritmo para Avaliação da Sustentabilidade Ambiental em Reserva Extrativista (SARE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-12-10) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document describes a computer program registered under number BR512024000610-9, which implements an algorithm for assessing environmental sustainability in extractive reserves, known as SARE. The objective of the program is to analyze and monitor sustainability indicators in reserve areas, helping to make decisions aimed at environmental conservation and the sustainable use of natural resources. Using data analysis and environmental intelligence techniques, the program is an essential tool for environmental managers and researchers who seek to promote the balance between preservation and sustainable exploration. Program registration is valid for 50 years from January 1, 2024.
Algoritmo para otimizar o processo de inspeção de qualidade
(Instituto Nacional da Propriedade Industrial (INPI), 2024-07-22) SOUSA, Marcio Rizonildo Aquino de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Algorithm to optimize the quality inspection process", developed in Python, valid for 50 years.
Análise do Grau de Riscos em Projetos de P&DI Utilizando Lógica Fuzzy para Identificação de Viabilidade Técnica
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-11-11) PONTES, Kleber de Lima; NASCIMENTO, Manoel Henrique Reis
This work proposes the use of Fuzzy Logic as a tool to analyze and manage risks associated with Research, Development, and Innovation (R&D&I) projects. Globalization and growing demands for innovation require organizations to develop products and services efficiently, minimizing risks and maximizing technical feasibility. The developed Fuzzy model allows for the identification, classification, and evaluation of risks, providing a robust tool for decision-making in uncertain environments. The research highlights the importance of effective risk management to ensure the delivery of innovative projects within planned timelines and costs.
Aplicação da lógica fuzzy para tomadas de decisões nos critérios de rateio e distribuição de custos industriais
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-04-11) NOVO, Breno Tello; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
Industries are increasingly specializing in the financial and production sector, aided by general accounting and, especially, cost accounting. Even increasing the degree of complexity of specialized employees, cost accounting in relation to its apportionment criteria is always a challenge. Companies find it very difficult to correctly determine the unit cost of the product or service being offered. And it is precisely at this moment that cost accounting proves to be useful and indispensable. Cost apportionment is one of the branches of industrial accounting and it is a subject that seems to be simple to understand, however, it becomes more complex during your daily practices. This work aims to develop a classification model for decision making based on Fuzzy Logic for diagnosing production performance with a focus on financial improvement based on the optimization of cost apportionment. In this context, the work is justified by pointing out a new perspective of analysis through production and financial indicators implemented in a Fuzzy interference model with the objective of optimizing the apportionment criteria and proposing financial improvements. The Methodological Process of the research was developed in three phases: 1. Identification of Economic and Production Indicators; 2. Modeling of the Fuzzy “Inference” System; 3. Proposed Model Experiment. Each phase consists of three stages until reaching the results obtained from the research. The proposed Fuzzy system was able to show the different performance results when simulated with the different conditions of the input variables and which the projected performance classification could be defined. The model resulted in 576 inference rules for analysis. With a bad EGE, it is difficult to properly monitor production efficiency to a satisfactory degree, but you can maintain a standard production pace due to the good results of other indicators. In this way, the Fuzzy system helps to guide us in which costing method we should adapt the worked product so that it can generate profitability within the industry and better profit margin, allowing a more critical analysis in internal decision-making.
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).
Controle e navegação de AMRs
(Instituto Nacional da Propriedade Industrial (INPI), 2024-09-12) COSTA, Gledyson Cidade da; LEITE, Jandecy Cabral; RODRIGUES, Carlos Manuel Tabosa
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Control and navigation of AMRs", developed in Python, valid for 50 years.
Digital technologies review for manufacturing processes
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-03-31) PARENTE, Ricardo Silva; UHLMANN, Iracyanne Retto
It 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.
Estimativa do Custo Unitário de Metro Quadrado Habitacional Popular na Cidade de Manaus Baseado nos Principais Insumos, Usando Redes Neurais Artificiais
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-12) FROTA, Arlindo Rubens de Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
This document describes a computer program registered under number BR512023002194-6, whose purpose is to calculate the unit cost per square meter for popular housing in the city of Manaus. The estimation is carried out using artificial neural networks, taking into account the main inputs needed for construction. The program was developed to support analysis and decision-making in housing projects, providing accurate, data-driven estimates for cost planning. Registration is valid for 50 years from January 1, 2023.
Implementação do sistema de inferência fuzzy para suporte à avaliação do esfigmomanômetro visando atender às atividades de fiscalização fluvial na área da metrologia legal, científica e conformidades
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-05-12) BRITO, Marcio André de Oliveira; LEITE, Jandecy Cabral; Nascimento, Manoel Henrique Reis
This study proposes the implementation of a fuzzy inference system to evaluate sphygmomanometers used in river inspection activities in the Amazon region. Fuzzy logic, applied to handle uncertainties and inaccuracies, allows for a robust and adaptable analysis under the variable conditions of the river environment. The system aims to ensure the accuracy of sphygmomanometers, which are crucial for healthcare and for ensuring fairness in commercial transactions that rely on precise measurements. The research covers the system's development, testing, and validation, highlighting its importance for legal and scientific metrology in the region.
Integração logística entre a Zona Franca de Manaus (ZFM) e a Venezuela: avaliação do modal por intermédio da lógica fuzzy para escoamento da produção do setor eletroeletrônico. Estudo de caso em um hospital do Amazonas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-05-29) MIRANDA, Allan Cerdeira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
The Logistics Integration between the Manaus Free Trade Zone (ZFM) and Venezuela regarding the flow of production in the electrical and electronic sector, has specificities in its commercial activity. Competition and the accelerated increase in consumption form a more competitive environment, where the ability to meet fluctuating demand in a timely manner emerges as a central component of competitive advantage. It is routine to say that the biggest deficiency of companies located in the Amazon Region is logistics, notably infrastructure and transport, which in addition to hindering the region's economic progress remain a difficulty for the work of businesspeople and the industry itself, when it comes to importing and export your products. The general objective of this dissertation was to develop a Fuzzy inference model to evaluate the most viable modal for integration between the Manaus Free Trade Zone (ZFM) and Venezuela in the flow of production in the electronics sector. The Methodological Process was developed in three phases: 1. Identification of indicators for Assessment of Available Modals; 2. Modeling of the Fuzzy “Inference” System; 3. Experiment of the Proposed Model, with its respective stages: Phase 1 (definition of inference levels of indicators), Phase 2 (Development of Fuzzy Sets, Development of “Inference” Rules and Simulation in MatlabR2013 software), Phase 3 (Compilation of the Indicator Aggregation Algorithm, 3D Results Simulation and Analysis of the Results Obtained). The results obtained with the proposed model were satisfactory in the analysis of the modal performance classifications, it was possible to identify the most relevant variables for the flow of production in the electronics sector between the Manaus Free Trade Zone and Venezuela. By inserting data into Fuzzy Logic, the model provided crucial information to improve the decision-making process, optimizing the cost of each mode used in the region.
JP- NSGA-III
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-05-16) SIQUEIRA JUNIOR, Paulo Oliveira; LEITE, Jandecy Cabral
Registration of a computer program registered with the National Institute of Industrial Property (INPI), work derived from the dissertation "Hybrid model with artificial neural networks and evolutionary algorithms for optimizing fuel consumption on vessels using diesel internal combustion engines".
Metodologia fuzzy aplicada na avaliação da qualidade dos serviços hospitalares. Estudo de caso em um hospital do Amazonas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-05) CESCONETO, Fernando da Silva; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
There is currently an important challenge for hospital companies, which is to offer their services with the highest quality to their customers. And meeting this demand requires more efforts from public or private organizations to provide quality services offered to customers who are more demanding and interested not only in cost, but in the quality of the product or service offered. Therefore, if you guarantee in the market, you have an unknown, to evaluate the quality of services to monitor the quality of service according to the expectations of your customers, thereby creating competitive advantages. In this context, the private hospital in Manaus is with an interest in measuring its quality, placing itself as an object of study, in order to know: the quality of the services offered by the Hospital in the view of the clients, identifying the relevant positive and negative aspects for that the Hospital can act more precisely on the points that allow it to achieve excellence in customer service and acquire more competitiveness. This reality dictates the need to create effective methods to meet the demand for quality in hospital services. In response, the purpose of this study arises to create a quality assessment model using the Fuzzy inference system, based on the studies by Parasuraman, Zeithaml and Berry, in 1994, who developed the SERVQUAL scale, an efficient instrument to assess the quality of services with evaluative diagnosis of quality that are important and followed until today. For this, a model was developed to evaluate the quality of private hospital services in Manaus. The questionnaire was used as data collection techniques, as determined by the SERVQUAL scale, which generated variables that were used for Fuzzy Inference in the Matlab R16 Student software. The results made it possible to evaluate the quality of customer service, which reached an index of 82.7%, thus identifying the level of customer satisfaction, highlighting the negative points, essential information for managers to implement appropriate improvements.
Modelo autoregressivo não linear com entradas exógenas para previsão do nível do rio no Amazonas
(Instituto Nacional da Propriedade Industrial (INPI), 2024-07-05) LOPES, Gisele de Freitas; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Nonlinear autoregressive model with exogenous inputs for predicting river level in the Amazon", developed in MATLAB, valid for 50 years.
Modelo de Previsão de Chuva Usando Redes Neurais Artificiais
(Instituto Nacional da Propriedade Industrial (INPI), 2022-09-20) BERNHARD, Gustavo Galdino Rodrigues; LIMA, Alexandra Amaro de; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188; http://lattes.cnpq.br/6915958689972413
This document describes a computer program registered under number BR512023002419-8, whose objective is to predict the occurrence of rain using artificial neural networks. The model developed applies artificial intelligence techniques to analyze meteorological data, allowing for more accurate and efficient forecasts. The tool is useful for meteorologists, researchers and institutions that need reliable climate forecasts for planning and decision making. The program was created to improve the accuracy of rain forecasts, contributing to the mitigation of risks associated with extreme weather events. Program registration is valid for 50 years from January 1, 2023.