Registro de programa de computador

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/9

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2013 - 201912020 - 20232

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Autor: search.filters.author.SIQUEIRA JUNIOR, Paulo OliveiraTem arquivos: Sim

Resultados da Pesquisa

Agora exibindo 1 - 3 de 3
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    Projeto Multicritério de Filtros Harmônicos Passivos para Instalações Industriais Utilizando Técnicas de Inteligência Computacional - NSGA-II
    (Instituto Nacional da Propriedade Industrial (INPI), 2013-05-29) SIQUEIRA JUNIOR, Paulo Oliveira; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
    This document describes a computer program registered under number BR512023001304-8, which implements a multi-criteria design of passive harmonic filters for industrial installations, using the NSGA-II algorithm (Non-dominated Sorting Genetic Algorithm II), a computational intelligence technique. The objective of the program is to optimize the performance of passive harmonic filters, ensuring greater efficiency in mitigating harmonic distortions in industrial electrical systems. The multi-criteria approach allows you to consider different aspects of performance simultaneously, resulting in balanced and efficient solutions. This program is relevant to engineers and technicians seeking to improve power quality in industrial environments. Program registration is valid for 50 years from January 1, 2024.
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    Modelo Híbrido com Redes Neurais Artificiais e Algoritmos Evolucionários para Otimização do Consumo de Combustível em Embarcações que Utilizam Motor de Combustão Interna a Diesel
    (Instituto Nacional da Propriedade Industrial (INPI), 2021-07-27) SIQUEIRA JUNIOR, Paulo Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
    This document describes a computer program registered under number BR512023001328-5, which presents a hybrid model combining artificial neural networks and evolutionary algorithms. The objective of the program is to optimize fuel consumption on vessels that use diesel internal combustion engines. The hybrid approach allows to improve energy efficiency and reduce operational costs, being especially relevant for the naval sector. The program uses advanced artificial intelligence and optimization techniques, providing a powerful tool for marine engineers and operators seeking sustainable and efficient solutions. Program registration is valid for 50 years from January 1, 2022.
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    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".