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  <title>DSpace Communidade:</title>
  <link rel="alternate" href="https://repositorio.ifg.edu.br/handle/prefix/49" />
  <subtitle />
  <id>https://repositorio.ifg.edu.br/handle/prefix/49</id>
  <updated>2026-09-03T21:13:50Z</updated>
  <dc:date>2026-09-03T21:13:50Z</dc:date>
  <entry>
    <title>Avaliação de Modelos Generativos para Extração de Informações em Processos da Pró-Reitoria de Desenvolvimento Institucional e Recursos Humanos do Instituto Federal de Goiás</title>
    <link rel="alternate" href="https://repositorio.ifg.edu.br/handle/prefix/2550" />
    <author>
      <name>Silva, Daniel Vitor Ferreira</name>
    </author>
    <id>https://repositorio.ifg.edu.br/handle/prefix/2550</id>
    <updated>2025-12-23T20:26:01Z</updated>
    <published>2025-09-10T00:00:00Z</published>
    <summary type="text">Título: Avaliação de Modelos Generativos para Extração de Informações em Processos da Pró-Reitoria de Desenvolvimento Institucional e Recursos Humanos do Instituto Federal de Goiás
Autor(es): Silva, Daniel Vitor Ferreira
Primeiro Orientador: Sousa, Daniel Xavier de
Abstract: Efficiency in administrative management represents a growing challenge in the public sector, particularly given the volume of unstructured documents requiring manual analysis. At the Federal Institute of Goiás (IFG), processes such as Training Leave require staff to dedicate significant time locating data scattered across attachments and dispatches. This work proposes and evaluates a solution based on Large Language Models (LLMs) for the automatic Information Extraction (IE) from these proceedings. The methodology adopted a two-stage architecture (Generation and Validation) and investigated the impact of four text selection strategies (Full Body, Requirement-only, Sentence Chunking, and Token Chunking) on the performance of both commercial (GPT family and DeepSeek) and open-source models (GPT-OSS, DeepSeek). Experiments demonstrated that the text selection strategy exerts a greater influence on extraction quality than the model choice itself. The "Full Body" approach proved to be the most robust, allowing models to capture complex semantic relationships that are lost in chunking strategies. Results indicate that while commercial models like GPT-4o-mini offer greater overall consistency, free models, when paired with a broad context strategy, achieve competitive similarity indices (exceeding 0.90 in specific scenarios). This study delivers a validated analysis systematic for this domain, demonstrating the technical feasibility of intelligent automation in personnel management.
Editor: Insitituto Federal de Educação, Ciência e Tecnologia de Goiás
Tipo: Trabalho de Conclusão de Curso</summary>
    <dc:date>2025-09-10T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Comparação entre abordagem neurais e não neurais para modelagem de tópicos em tweets sobre Institutos Federais Brasileiros.</title>
    <link rel="alternate" href="https://repositorio.ifg.edu.br/handle/prefix/2425" />
    <author>
      <name>Dias, Paulo David Silva</name>
    </author>
    <id>https://repositorio.ifg.edu.br/handle/prefix/2425</id>
    <updated>2025-09-24T11:48:56Z</updated>
    <published>2025-03-27T00:00:00Z</published>
    <summary type="text">Título: Comparação entre abordagem neurais e não neurais para modelagem de tópicos em tweets sobre Institutos Federais Brasileiros.
Autor(es): Dias, Paulo David Silva
Primeiro Orientador: Canuto, Sérgio Daniel Carvalho
Abstract: The analysis of public perception of educational institutions on social media can reveal topics of community interest and support improvements in communication and academic management. Topic Modeling (TM) techniques allow for the automation of this identification, but studies evaluating aspects such as coherence, diversity, stability, and computational time of TM-generated topics in the educational context remain scarce. This work investigates these dimensions by applying TM to a novel corpus of tweets about Brazilian Federal Institutes, segmented by five macro-regions. The results show that, although traditional methods such as LDA and NMF perform better in terms of diversity and stability, respectively, the BERTopic approach with the BERTweet-BR model produced topics with higher coherence compared to LDA.
Editor: Insitituto Federal de Educação, Ciência e Tecnologia de Goiás
Tipo: Trabalho de Conclusão de Curso</summary>
    <dc:date>2025-03-27T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Estudo comparativo entre as Leis nº 8.666/93 E 14.133/21 de licitações e contratos da administração pública para obras de engenharia.</title>
    <link rel="alternate" href="https://repositorio.ifg.edu.br/handle/prefix/2424" />
    <author>
      <name>Braga, Claudia Maria Vilaça</name>
    </author>
    <id>https://repositorio.ifg.edu.br/handle/prefix/2424</id>
    <updated>2025-09-24T11:27:21Z</updated>
    <published>2025-08-27T00:00:00Z</published>
    <summary type="text">Título: Estudo comparativo entre as Leis nº 8.666/93 E 14.133/21 de licitações e contratos da administração pública para obras de engenharia.
Autor(es): Braga, Claudia Maria Vilaça
Primeiro Orientador: Paiva, Christiane Rosa de
Abstract: This study presents a comparative analysis between Law No. 8,666/1993 and Law No. 14,133/2021, highlighting the main practical differences between them in the context of public procurement in Brazil. The research aims to identify the key changes introduced by the new legislation and its effects on bidding processes. To complement the theoretical analysis, three bidding processes conducted at different times, including the transitional period between the two laws, were examined. These cases demonstrated an increase in competitiveness, reflected by a higher number of participants and a greater diversity of submitted proposals, as well as an improvement in applied discounts. The research is based on a bibliographic and documental review, focusing on the legal provisions and new instruments introduced by Law No. 14,133/2021, such as the Preliminary Technical Study, Risk Management, and the National Public Procurement Portal. The analysis of the bidding processes revealed practical benefits of legislative modernization, especially regarding cost-effectiveness and transparency. Results confirm that adopting Law No. 14,133/2021 fosters greater competitiveness and provides higher discounts on winning proposals, contributing to better use of public resources, particularly in public works. A comparative table complements the study, facilitating the understanding of the main practical changes between the laws and their impacts on the public sector. It is concluded that the legislative transition represents a significant advance for Brazilian public management, promoting more efficient bidding processes aligned with constitutional principles of legality, cost-effectiveness, and efficiency.
Editor: Insitituto Federal de Educação, Ciência e Tecnologia de Goiás
Tipo: Trabalho de Conclusão de Curso</summary>
    <dc:date>2025-08-27T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Análise do cronograma físico-financeiro do restaurante universitário - Campus Anápolis</title>
    <link rel="alternate" href="https://repositorio.ifg.edu.br/handle/prefix/2418" />
    <author>
      <name>Lima, Marcelo Silva de</name>
    </author>
    <id>https://repositorio.ifg.edu.br/handle/prefix/2418</id>
    <updated>2025-09-17T15:22:02Z</updated>
    <published>2025-08-29T00:00:00Z</published>
    <summary type="text">Título: Análise do cronograma físico-financeiro do restaurante universitário - Campus Anápolis
Autor(es): Lima, Marcelo Silva de
Primeiro Orientador: Costa, Valéria Conceição Mouro
Abstract: Construction and project planning is essential to ensure construction is carried out efficiently, within deadlines, budgets, and to established quality standards. This process encompasses the planning, execution, and control of activities, involving resource allocation, team management, and communication between stakeholders. However, the sector faces several challenges, such as low productivity, which results in delays and increased costs, and wasted materials and labor, which impacts finances. Furthermore, resistance to the adoption of innovations and new technologies limits the efficiency and competitiveness of projects. Another significant problem is the difficulty in balancing execution deadlines with costs, especially in a context of tight budgets. Finally, reliance on traditional planning methods, rather than systematic approaches, can lead to execution failures, further highlighting the need for effective and innovative planning practices in the construction sector. Thus, the main objective of this case study is to compare the physical-financial schedule proposed by the construction company with the measurements taken during the construction of the IFG Anápolis campus student cafeteria. This analysis aims to highlight the reasons for possible advances, delays, and cost overruns. In addition to a bibliographical study based on the literature on the topic, it is undeniable that good planning, project management, and reviews throughout the process lead to success. It was found that the physical-financial schedule used values ​​that define the schedule, financial, and physical progress of the project. Negative cost and schedule variances, defined by the earned value analysis method, indicate that the project is behind schedule, and performance indices below 1 indicate that performance is below expectations relative to the planned schedule and budget. Based on the aforementioned indicators, analyzing the project's progress reveals that the project is 71.09% complete.
Editor: Insitituto Federal de Educação, Ciência e Tecnologia de Goiás
Tipo: Trabalho de Conclusão de Curso</summary>
    <dc:date>2025-08-29T00:00:00Z</dc:date>
  </entry>
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