DSpace Coleção:https://repositorio.uema.br/jspui/handle/123456789/22022026-06-29T11:58:26Z2026-06-29T11:58:26ZDesenvolvimento de aplicação web para rastreamento de aeronaveshttps://repositorio.uema.br/jspui/handle/123456789/61872026-06-18T17:18:10Z2026-01-01T00:00:00ZTítulo: Desenvolvimento de aplicação web para rastreamento de aeronaves
Abstact: This work presents the development of a web application designed for
the monitoring and tracking of aircraft operated by the Tactical Air Center of
the Military Police of Maranhão. The solution was built using ReactJS and
integrates with a REST API to display real-time information on aircraft position,
trajectory and operational data during missions. In addition to tracking, the
application provides access to flight history and enables the management
of missions, aircraft and users through an intuitive and responsive interface.
The tests conducted demonstrated that the tool delivers stable performance,
continuous data updates and good adherence to the operational needs of
the CTA, highlighting the potential of web development as support for aerial
operations.2026-01-01T00:00:00ZAutomação de entrega de software com Docker e CI/CD: um estudo de caso experimentalhttps://repositorio.uema.br/jspui/handle/123456789/61862026-06-24T17:21:55Z2026-02-05T00:00:00ZTítulo: Automação de entrega de software com Docker e CI/CD: um estudo de caso experimental
Abstact: Software development faces the critical challenge of ensuring delivery reliability amidst manual
processes prone to failure. This work investigates the technical implementation of infrastructure
automation as a mechanism to mitigate operational inconsistencies. Limited to a controlled
academic experimental case study, a Continuous Integration and Continuous Delivery (CI/CD)
pipeline was developed for a Python web application (FastAPI). The architecture utilized Docker
containers to ensure environment parity and GitLab CI to orchestrate testing, build, security,
and deploy stages on an EC2 instance in the AWS cloud. The analysis of results prioritized the
stability metric over pure speed. The data showed that, while there was a 20.35% optimization in
average Lead Time, the most significant gain was the elimination of process variability (drastic
reduction in standard deviation), transforming delivery into a predictable routine. Additionally,
the Shift-Left approach was technically validated using Docker Scout for vulnerability scanning.
It is concluded that automation, even in smaller-scale scenarios, is essential to ensure the technical
reproducibility, security, and stability of software engineering.2026-02-05T00:00:00ZReduzindo alucinações e aprimorando a qualidade de respostas em sistemas alimentados por large language models através de re-ranking de documentos para aplicações em domínios específicoshttps://repositorio.uema.br/jspui/handle/123456789/61852026-06-12T14:10:22Z2025-01-01T00:00:00ZTítulo: Reduzindo alucinações e aprimorando a qualidade de respostas em sistemas alimentados por large language models através de re-ranking de documentos para aplicações em domínios específicos
Abstact: This work addresses the problem of hallucinations in Large-Scale Language Models (LLMs) by improving Retrieval Augmented Generation (RAG) systems. Specifically, it proposes a document re-ranking model, based on BERT architecture, to refine the results retrieved in a RAG system, prioritizing more relevant documents and, consequently, mitigating the generation of incorrect or unfounded information (hallucinations) by LLMs. To train and evaluate the model, an innovative dataset was created from ten Undergraduate Thesis Projects (TCCs) from the State University of Maranhão (UEMA), using Natural Language Processing (NLP) techniques for text extraction and automatic generation of questions with different levels of relevance (scores 1, 3 and 5). The BERTimbau re-ranking model was trained to classify question and document pairs according to their relevance. Experimental results demonstrate that the model achieves 92% accuracy in relevance classification and an MRR of 0.7367, indicating a significant improvement in the ordering of retrieved documents compared to an approach without re-ranking (MRR of 0.4140). The qualitative analysis illustrates the model's ability to discern between different levels of semantic relationship between questions and documents. This work contributes to the advancement of the state of the art in RAG, providing an effective method to reduce hallucinations in LLM and improve the reliability of information generated in applications in the Portuguese language domain, specifically in the context of UEMA's final course projects2025-01-01T00:00:00ZTecnologias sem fio aplicadas na indústria 4.0https://repositorio.uema.br/jspui/handle/123456789/61832026-06-24T17:50:29Z2025-07-28T00:00:00ZTítulo: Tecnologias sem fio aplicadas na indústria 4.0
Abstact: This study focuses on wireless technologies applied to the context of Industry 4.0. A systematic literature review methodology was adopted, based on scientific articles and conference papers that discuss the topic and contribute to a deeper analysis. The main objective is to identify and
present the wireless technologies used in this context, evaluating their most relevant technical characteristics. Metadata such as abstracts, authors, keywords, year of publication, and number of citations were extracted, considering the time frame from 2014 to 2025. This period allows
for tracking the evolution of research alongside the practical adoption of these technologies in the industrial sector. The study proposes a comparison of the identified technological solutions based on criteria such as coverage, energy efficiency, and implementation cost, aiming to
provide a comprehensive technical overview that supports decision-making in industrial
projects based on wireless connectivity.This study focuses on wireless technologies applied to the context of Industry 4.0. A systematic literature review methodology was adopted, based on scientific articles and conference papers that discuss the topic and contribute to a deeper analysis. The main objective is to identify and
present the wireless technologies used in this context, evaluating their most relevant technical characteristics. Metadata such as abstracts, authors, keywords, year of publication, and number of citations were extracted, considering the time frame from 2014 to 2025. This period allows
for tracking the evolution of research alongside the practical adoption of these technologies in the industrial sector. The study proposes a comparison of the identified technological solutions based on criteria such as coverage, energy efficiency, and implementation cost, aiming to
provide a comprehensive technical overview that supports decision-making in industrial
projects based on wireless connectivity.2025-07-28T00:00:00Z