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  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/17890" />
  <subtitle />
  <id>https://repositorio.ufu.br/handle/123456789/17890</id>
  <updated>2026-09-22T02:47:29Z</updated>
  <dc:date>2026-09-22T02:47:29Z</dc:date>
  <entry>
    <title>Estimação do comprimento de antenas de microfita utilizando Support Vector Regression</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/50337" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/50337</id>
    <updated>2026-09-19T06:24:35Z</updated>
    <published>2026-09-08T00:00:00Z</published>
    <summary type="text">Title: Estimação do comprimento de antenas de microfita utilizando Support Vector Regression
Abstract: In this paper, a Machine Learning technique called Support Vector Regression is applied&#xD;
for regression of squared microstrip patch antennas data for operation under its dominant&#xD;
mode 𝑇𝑀10. The simulation data was gathered through Ansys Electronics Desktop 2022,&#xD;
using the high frequency simulation module HFSS. Simulation results are given in both S&#xD;
and Z parameters for 2 different situations. Firstly, the antenna length 𝐿 is changed from&#xD;
10 mm to 40 mm in steps of 1 mm. After it, the antenna behaviour is simulated and the&#xD;
frequency range is fixed from 1 GHz to 10 GHz, getting 𝐿 values that satisfies the specified&#xD;
frequency range. Both steps are simulated for 5 different dielectric permittivity 𝜖. With&#xD;
these informations, a database is created, and it will contain data that will be cleaned,&#xD;
sorted out and labeled, then feeded to a Support Vector Regression (SVR) algorithm for&#xD;
training and validation. The generated model is capable of predicting, accurately, the&#xD;
value of 𝐿 for any 𝑓𝑟 within the frequency range established.</summary>
    <dc:date>2026-09-08T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Comparação de desempenho entre as modulações otfs e ofdm em canais de alta mobilidade sob condições de ruído impulsivo</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/50293" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/50293</id>
    <updated>2026-09-17T06:21:26Z</updated>
    <published>2026-04-24T00:00:00Z</published>
    <summary type="text">Title: Comparação de desempenho entre as modulações otfs e ofdm em canais de alta mobilidade sob condições de ruído impulsivo
Abstract: The evolution of mobile communications toward sixth-generation (6G) systems&#xD;
imposes new challenges related to reliability, latency, and performance in environments&#xD;
characterized by high mobility and impulsive noise. In this context, more robust modulation techniques become essential to ensure transmission efficiency and data integrity.&#xD;
This Final Course Project aims to compare the performance of OTFS (Orthogonal Time&#xD;
Frequency Space) and OFDM (Orthogonal Frequency Division Multiplexing) modulations&#xD;
under different channel conditions, with emphasis on scenarios involving high Doppler fading, frequency-selective channels, and the presence of impulsive noise. The modulations&#xD;
are analyzed through computational simulations developed in the MATLAB environment,&#xD;
considering different modulation orders (16-QAM, 64-QAM, and 256-QAM) and variations in the statistical model of impulsive noise, based on Poisson and log-normal distributions. Performance evaluation is carried out using Bit Error Rate (BER) curves, allowing&#xD;
a comparative assessment of the resilience of each technique under different levels of channel degradation. The results indicate that the relative performance of OTFS and OFDM&#xD;
depends on the evaluated scenario: in channels with high mobility, multipath propagation, and more severe impulsive noise, OTFS shows greater robustness, while under static&#xD;
conditions or low-severity impulsive noise, OFDM may present similar or slightly better&#xD;
performance. It is concluded that OTFS is a promising alternative for 6G systems in&#xD;
adverse scenarios due to its ability to maintain robustness against multiple impairments,&#xD;
especially when high-order modulation schemes are employed.</summary>
    <dc:date>2026-04-24T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Análise bibliométrica do emprego de metodologias ágeis na engenharia eletrônica: o caso do desenvolvimento de softwares</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/50161" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/50161</id>
    <updated>2026-09-09T06:18:11Z</updated>
    <published>2026-04-08T00:00:00Z</published>
    <summary type="text">Title: Análise bibliométrica do emprego de metodologias ágeis na engenharia eletrônica: o caso do desenvolvimento de softwares
Abstract: This paper presents a bibliometric analysis of the use of agile methodologies in Electronic Engineering, focusing on software development, and investigates the influence of artificial intelligence (AI) in this context. The study was conducted based on 173 scientific articles published between 2000 and 2025, extracted from the Web of Science, and analyzed using tools such as VOSviewer and Bibliometrix. The results reveal that Scrum is the most widely used agile framework, standing out for its flexibility in complex projects, such as embedded systems. The integration of AI has shown promise, with tools such as Jira and GitHub Copilot optimizing processes such as test automation and code generation. However, ethical and technical challenges, such as algorithmic bias and the potential erosion of human collaboration, require attention. The adoption of agile methodologies in Electronic Engineering is still in its infancy compared to pure software development, due to barriers such as hardware-software integration and strict compliance requirements. The analysis identified gaps in literature, such as the scarcity of studies on agile in hardware and highly regulated environments, as well as opportunities for future research, such as the combination of agile with DevOps and IoT. This work contributes to the field by mapping the scientific literature on the topic, highlighting emerging trends, and proposing directions for further research. Limitations include the restriction to specific databases and the quantitative nature of the analysis, suggesting the need for complementary qualitative studies.</summary>
    <dc:date>2026-04-08T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>O impacto da pandemia COVID-19 no setor de telecomunicações do Brasil: uma análise a partir dos principais serviços: telefonia fixa, telefonia móvel pessoal, TV por assinatura e banda larga fixa</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/49965" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/49965</id>
    <updated>2026-08-29T06:25:39Z</updated>
    <published>2025-06-04T00:00:00Z</published>
    <summary type="text">Title: O impacto da pandemia COVID-19 no setor de telecomunicações do Brasil: uma análise a partir dos principais serviços: telefonia fixa, telefonia móvel pessoal, TV por assinatura e banda larga fixa
Abstract: The COVID-19 pandemic, which began in late 2019 and spread globally in 2020, &#xD;
transformed life as we know it. Containment measures, such as social isolation and the &#xD;
shutdown of non-essential activities, led to significant changes in how we live, work, and &#xD;
communicate. In Brazil, these changes were acutely felt in the Telecommunications sector, &#xD;
which faced unprecedented demand. This study aims to analyze the impact of the COVID-19 &#xD;
pandemic on Brazil's Telecommunications sector, with a particular focus on the main services &#xD;
offered: fixed-line telephony, mobile telephone services, Pay-TV, and fixed-line broadband. &#xD;
Each of these services faced unique challenges and opportunities during the crisis, offering a &#xD;
new view into how the pandemic reshaped the sector. Mobile telephone services, for instance, &#xD;
became a crucial tool for many, enabling continuous communication during a time of physical &#xD;
distancing. Pay-TV saw increased demand as people turned to entertainment at home. Fixed&#xD;
line broadband, in turn, became essential for remote work and online learning. However, the &#xD;
surge in demand also presented significant challenges. Networks were pushed to their limits, &#xD;
leading to issues with service quality and accessibility. Service providers had to adapt quickly &#xD;
to meet this new demand, often investing in infrastructure and innovation.</summary>
    <dc:date>2025-06-04T00:00:00Z</dc:date>
  </entry>
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