Engenharia de Computação

URI Permanente desta comunidadehttps://repositorio.cesupa.br/handle/prefix/31

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Navegando Engenharia de Computação por Autor "Araújo, Fábio Rocha de"

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    AmazOmnia - o impacto da transformação digital na Amazônia Legal
    (Centro Universitário do Estado do Pará, 2023) Nara, Cauã Maia de Souza; Oliveira, Daniel Pinheiro Marcelino de; Nascimento, Elissandra Bernadett Abdon; Panzera, Fernanda Cordeiro; Oliveira, Gabriel Pinheiro Marcelino de; Amorim, Lucas Gabriel Carvalho; Pierozan, Marco Antonio Gomes; Dourado, Matheus Tsuchiya; Canuto, Renan Andrew Oliveira; Silva, Rian Ernesto Leão da; Araújo, Fábio Rocha de; http://lattes.cnpq.br/2407240421934932; Baganha, Alessandra Natasha Alcântara Barreiros; http://lattes.cnpq.br/0672275617505946; Vieira, Luciana de Azevedo; http://lattes.cnpq.br/4180335450338216
    The Final Project "AmazOmnia - The Impact of Digital Transformation in the Legal Amazon" addresses technological innovation to improve connectivity in the Legal Amazon. The project uses drones with the Falken system to map ideal spots for the installation of radio base stations (ERBs), overcoming the dense vegetation of the region. AmazOmnia's focus is to offer a customized connectivity solution, adopting a B2B business model, serving companies and governments, promoting inclusive and sustainable access to the internet, and benefiting local communities. The work highlights the minimization of environmental impact and the promotion of socioeconomic development in the region. The work includes detailed technical studies, prototype tests, and discussions on commercialization and related products, highlighting the importance and potential of AmazOmnia as an impactful solution to connectivity challenges in the Amazon.
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    Os benefícios da integração dos sistemas embarcados na indústria 4.0
    (Centro Universitário do Estado do Pará, 2020) Pena, Raphael Rossy; Dias, Suzane Alfaia; http://lattes.cnpq.br/9675395702501834; Brito, Itamar Jorge Vilhena de; http://lattes.cnpq.br/5143837732124006; Araújo, Fábio Rocha de; http://lattes.cnpq.br/2407240421934932
    The following work makes a brief description of the important moments for the arrival of the new level of industrial development, seeking to point out through studies how the application of embedded systems can help the responsible for the analysis of machinery within the scenario of Industry 4.0, leaving aside the corrective maintenance and giving space for predictive maintenance; due to the monitoring of this type of repair, it seeks an environment with fewer and fewer unexpected stops in the production lines in order to avoid unnecessary expenses within the company, because the interruption in equipment the industry ends up having to stop its production. The text has a description of the social advance generated by the Industrial Revolutions and the insertion of new technologies that aim to help the environment, also seeks to point out how the scenario of embedded systems with support from new technologies ensure a certain autonomy of the machines for the diagnosis of problems, thus ensuring greater durability of equipment within this scenario 4.0, allowing the equipment to be used responsibly until the end of its useful life; pointing out how the Big Data, IoT (IIoT), I.A. and Embedded Systems are interconnected / necessary for the establishment of this new type of industry as well as mentioning the emergence of cyber-physical systems and intelligent networks, and how all these technologies guarantee 4.0 maintenance functionality.
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    Comparação de práticas e ferramentas de integração de dados utilizando o banco de dados amostral adventureworks
    (Centro Universitário do Estado do Pará, 2023-12-15) Bessa, Arthur Ferreira; Santos, Pedro Bezerra dos; Elgrably, Isaac Souza; http://lattes.cnpq.br/7590598824563858; Girotto, Pedro Henrique Sales; http://lattes.cnpq.br/0421749067951878; Araújo, Fábio Rocha de; http://lattes.cnpq.br/2407240421934932
    In the “Information Era”, companies deal with vast volumes of data. Information overload hampers decision-making. Digital transformation is pivotal, involving data integration through data pipelines. These processes convert raw data into actionable insights for business analysis. This study aims to compare the performance of different pipelines, ETL and ELT, analyzing data transformation time to ensure availability and decision-making efficiency. The comparison between ELT and ETL shows the significance of each method's specific application. In this study using AdventureWorks, ETL outperformed by transforming data before loading, unlike ELT. The difference between code usage and tools like Pentaho highlights a trade-off between performance and accessibility. Choosing between ELT and ETL should account for project needs, while future studies may deepen the understanding of these processes.