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    <title>DSpace Communidade:</title>
    <link>https://repositorio.unimontes.br/handle/123456789/33</link>
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        <rdf:li rdf:resource="https://repositorio.unimontes.br/handle/1/2547" />
        <rdf:li rdf:resource="https://repositorio.unimontes.br/handle/1/2546" />
        <rdf:li rdf:resource="https://repositorio.unimontes.br/handle/1/2364" />
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    <dc:date>2026-04-20T08:43:58Z</dc:date>
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  <item rdf:about="https://repositorio.unimontes.br/handle/1/2547">
    <title>Procedimento de Uso do Software DAMF - Detecção Automática de  Módulos Físicos</title>
    <link>https://repositorio.unimontes.br/handle/1/2547</link>
    <description>Título: Procedimento de Uso do Software DAMF - Detecção Automática de  Módulos Físicos
Autor(es): Castro, Debora Soares Silva de
Abstract: This work presents the technical report of the DAMF software – Automatic Detection &#xD;
of Physical Moduli, a computational tool developed to automate and enhance the anal&#xD;
ysis of data obtained from ultrasonic testing applied to the characterization of elastic &#xD;
properties of metallic materials. The software integrates experimental procedures for &#xD;
measuring longitudinal and transverse ultrasonic velocities with mathematical models &#xD;
for isotropic materials, enabling the automatic calculation of properties such as: &#xD;
Young’s modulus, shear modulus, bulk modulus, Poisson’s ratio, acoustic impedance, &#xD;
and anisotropy factor. In addition to calculation automation, DAMF software provides &#xD;
functionalities such as structured data storage in a local database, PDF report gener&#xD;
ation, and quantitative and graphical comparison between experimental results and &#xD;
reference values from technical literature. The manual systematically describes the &#xD;
experimental procedure, installation process, graphical user interface, operational &#xD;
workflow, and data management, offering technical and didactic support for students, &#xD;
professors, and researchers. The results showed good agreement with literature val&#xD;
ues, validating the software as a reliable support tool for academic and laboratory ac&#xD;
tivities in the fields of Materials Science and Non-Destructive Testing</description>
    <dc:date>2026-02-18T00:00:00Z</dc:date>
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  <item rdf:about="https://repositorio.unimontes.br/handle/1/2546">
    <title>Reconhecimento de Emoções com EEG de Alta Resolução: uma abordagem em Neurociência  Computacional com Aprendizado de Máquina e Extração de Características</title>
    <link>https://repositorio.unimontes.br/handle/1/2546</link>
    <description>Título: Reconhecimento de Emoções com EEG de Alta Resolução: uma abordagem em Neurociência  Computacional com Aprendizado de Máquina e Extração de Características
Autor(es): Oliveira Júnior, Evandro José de
Abstract: .</description>
    <dc:date>2026-02-12T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.unimontes.br/handle/1/2364">
    <title>Sistema embarcado para medição e análise de resistência à penetração de solos: uma alternativa econômica ao SPT</title>
    <link>https://repositorio.unimontes.br/handle/1/2364</link>
    <description>Título: Sistema embarcado para medição e análise de resistência à penetração de solos: uma alternativa econômica ao SPT
Autor(es): Silveira, André Ribeiro da
Abstract: The characterization of soil resistance is a fundamental step in civil engineering projects,&#xD;
traditionally carried out through tests such as the Standard Penetration Test (SPT).&#xD;
However, there is a growing demand for more accessible investigation methods with higher&#xD;
spatial resolution. This study aimed to develop and validate a low-cost embedded system&#xD;
for continuous measurement of soil resistance. The method consisted of constructing a&#xD;
portable electronic penetrometer, based on a microcontroller board, a load cell, and a&#xD;
laser distance sensor. Data were processed using an algorithm implemented in Python,&#xD;
which employs a correction equation to correlate the obtained values with geotechnical&#xD;
parameters. Validation was performed through comparison with conventional field tests.&#xD;
The results demonstrated that the system generated continuous soil resistance profiles,&#xD;
showing satisfactory performance. It is concluded that the developed embedded system is a&#xD;
feasible tool, providing a low-cost alternative that enables data acquisition with significant&#xD;
potential to contribute to geotechnical investigations</description>
    <dc:date>2025-07-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.unimontes.br/handle/1/2363">
    <title>Modelagem e engenharia de dados para análise longitudinal de estabelecimentos brasileiros: uma plataforma de suporte à políticas públicas</title>
    <link>https://repositorio.unimontes.br/handle/1/2363</link>
    <description>Título: Modelagem e engenharia de dados para análise longitudinal de estabelecimentos brasileiros: uma plataforma de suporte à políticas públicas
Autor(es): Silva, Wesley Bruno Barbosa
Abstract: Mapping  the  Creative  Economy  in  Brazil  faces  structural  obstacles  due  to  the &#xD;
inoperability  of  public  data  provided  by  the  Federal  Revenue  Service.  Although  rich  in &#xD;
information,  the  National  Registry  of  Legal  Entities  (CNPJ)  files  are  provided  in  massive &#xD;
and  static  formats,  frequently  containing  encoding  inconsistencies  that  make  direct &#xD;
analysis  unfeasible.  Furthermore,  the  rigidity  of  the  National  Classification  of  Economic &#xD;
Activities  (CNAE)  does  not  reflect  the  transversality  of  creative  sectors,  and  the  lack  of &#xD;
temporal  traceability  in  raw  data  prevents  evolutionary  studies.  This  work  aimed  to &#xD;
develop,  implement,  and  validate  a  scalable  Web  Platform  for  the  ingestion, &#xD;
personalized  classification,  and  temporal  analysis  of  Brazilian  establishments.  The &#xD;
methodology  adopted  an  applied  research  approach  with  incremental  development, &#xD;
using  a  three-tier  architecture  composed  of  a  Python/Flask  Backend,  React/Next.js &#xD;
Frontend,  and  PostgreSQL  database.  As  main  results,  an  ETL  (Extract,  Transform, &#xD;
Load)  pipeline  was  implemented  capable  of  sanitizing  corrupted  characters  at  the &#xD;
source,  ensuring  database  integrity.  Additionally,  the  system  incorporates  automatic &#xD;
scheduling  mechanisms  to  ensure  the  continuous  update  of  the  historical  series.  The &#xD;
platform  introduced  a  temporal  data  model,  enabling  the  reconstruction  of  past  scenarios &#xD;
and  cohort  analysis.  The  taxonomy  management  functionality  provided  methodological &#xD;
flexibility,  allowing  researchers  to  create  their  own  groupings  of  economic  activities. &#xD;
Technical  validation  confirmed  the  system's  efficiency  in  processing  millions  of  records &#xD;
and  executing  complex  analytical  queries  in  real-time,  consolidating  the  platform  as  an &#xD;
effective  tool  for  democratizing  data  access  and  strategically  monitoring  the  Creative &#xD;
Economy</description>
    <dc:date>2025-12-16T00:00:00Z</dc:date>
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