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  <title>DSpace Communidade:</title>
  <link rel="alternate" href="https://ri.ufs.br/jspui/handle/riufs/2150" />
  <subtitle />
  <id>https://ri.ufs.br/jspui/handle/riufs/2150</id>
  <updated>2026-09-10T10:08:37Z</updated>
  <dc:date>2026-09-10T10:08:37Z</dc:date>
  <entry>
    <title>Habitação de interesse social na engenharia civil: análise curricular em instituições federais de ensino em Sergipe</title>
    <link rel="alternate" href="https://ri.ufs.br/jspui/handle/riufs/26050" />
    <author>
      <name>Melo, Lúzula dos Reis</name>
    </author>
    <id>https://ri.ufs.br/jspui/handle/riufs/26050</id>
    <updated>2026-09-04T19:21:05Z</updated>
    <published>2026-04-27T00:00:00Z</published>
    <summary type="text">Título: Habitação de interesse social na engenharia civil: análise curricular em instituições federais de ensino em Sergipe
Autor(es): Melo, Lúzula dos Reis
Abstract: The problem of producing Social Housing (HIS) and access to it by low-income populations&#xD;
has historically been a field of conflicting interests in Brazil. However, it is through the&#xD;
consolidation of public housing policies that the Brazilian government seeks to address sociospatial inequalities by linking housing, infrastructure, and urban integration. Despite legal&#xD;
attempts, such as the enactment of Law No. 11,888/2008, which guarantees free public technical&#xD;
assistance for HIS projects and works, progress in the application of this law has been limited&#xD;
by institutional obstacles, lack of regulation, and a shortage of qualified professionals. These&#xD;
factors have hindered the effective realization of the rights guaranteed by this legislation,&#xD;
contributing to the persistence of a scenario marked by a housing deficit, especially of a&#xD;
qualitative nature, and the continuation of self-construction practices in precarious conditions,&#xD;
with direct impacts on the safety and quality of life of low-income populations. Given this&#xD;
reality, the question arises: how are future Civil Engineering professionals being trained to work&#xD;
with low-income populations, especially in Sergipe? It is assumed that the lack of priority given&#xD;
to the topic of Social Housing in Civil Engineering courses in Sergipe compromises the training&#xD;
of professionals to work critically and attentively with low-income populations. This research&#xD;
aims to analyze the official and interpreted curricula of undergraduate Civil Engineering&#xD;
courses offered by Federal Higher Education Institutions in the state of Sergipe regarding their&#xD;
approach to the topic of Social Housing. The analyses are based on Critical Curriculum Theory,&#xD;
from the perspective of José Gimeno Sacristán, and were carried out in two stages: (i) document&#xD;
analysis of the official and interpreted curricula of the courses offered by the Federal University&#xD;
of Sergipe (UFS) and the Federal Institute of Education, Science and Technology of Sergipe&#xD;
(IFS); (ii) application of a semi-structured questionnaire. The results indicate that the topic of&#xD;
Social Housing and Technical Assistance for Social Housing is addressed indirectly, in a&#xD;
fragmented and poorly systematized way in Civil Engineering training at UFS and IFS. No&#xD;
specific curricular components dedicated to the topic were identified, which highlights a&#xD;
training centered on traditional technical skills. Although professors recognize the social&#xD;
relevance of Social Housing, factors such as curricular and structural limitations hinder the&#xD;
more consistent inclusion of the topic in professional training.</summary>
    <dc:date>2026-04-27T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Modelagem por equivalente elétrico para dispositivos a onda acústica de superfície</title>
    <link rel="alternate" href="https://ri.ufs.br/jspui/handle/riufs/25888" />
    <author>
      <name>Nogueira, Paulo Gabriel Barreto</name>
    </author>
    <id>https://ri.ufs.br/jspui/handle/riufs/25888</id>
    <updated>2026-09-01T12:46:14Z</updated>
    <published>2026-03-06T00:00:00Z</published>
    <summary type="text">Título: Modelagem por equivalente elétrico para dispositivos a onda acústica de superfície
Autor(es): Nogueira, Paulo Gabriel Barreto
Abstract: Surface Acoustic Wave (SAW) devices find extensive application in telecommunications as delay lines and highly selective filters, and they also operate as high-sensitivity sensors. This versatility arises from their ability to convert electrical signals into acoustic waves through interdigital transducers and from the strong interaction between these waves and physical or chemical perturbations in the propagation medium. Engineers typically characterize these devices using vector network analyzers, which restrict field applications and complicate integration with systems and wireless sensor networks. These limitations motivate the implementation of approaches based on open- and closed-loop electronic oscillators. However, the development of such systems faces constraints related to the acquisition of SAW devices and to their direct use in circuit simulators. As a result, researchers employ equivalent electrical models, particularly those based on resonator crystals. An extensive literature review reveals that currently available models, although simple and physically implementable, diverge in their representation of the electrical coupling between SAW ports. This aspect plays a critical role in the performance and stability of closed-loop oscillators, especially under uncontrolled environmental conditions. In this context, this work proposes the development of an equivalent electrical circuit model for SAW devices based on a resonator crystal with adjustable parameters. The proposed model more accurately represents the coupling between ports and supports applications in the calibration of SAW-based systems, integration with electronic oscillators, and laboratory testing. This approach reduces dependence on real devices and increases the feasibility of field measurements. The study derives the model from an adapted resonator crystal representation and incorporates dedicated blocks to adjust input and output impedances as well as transmission magnitude.</summary>
    <dc:date>2026-03-06T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Características de fluidização de misturas binárias contendo casca residual de mandioca e areia</title>
    <link rel="alternate" href="https://ri.ufs.br/jspui/handle/riufs/25886" />
    <author>
      <name>Rocha, Raquel Estevez</name>
    </author>
    <id>https://ri.ufs.br/jspui/handle/riufs/25886</id>
    <updated>2026-08-25T19:10:13Z</updated>
    <published>2023-02-28T00:00:00Z</published>
    <summary type="text">Título: Características de fluidização de misturas binárias contendo casca residual de mandioca e areia
Autor(es): Rocha, Raquel Estevez
Abstract: The better management of natural resources has become a global agenda and in recent years&#xD;
there is a global trend towards an increase in the use of renewable energy sources. In this&#xD;
context, the conversion of biomass into energy has grown in importance, in order to replace the&#xD;
demand for fossil fuels, as well as to diversify energy sources. Cassava (Manihot esculenta&#xD;
Crantz) is one of the most prominent temporary crops in Brazil, with more than 18.1 million&#xD;
tons produced in 2021. All this productivity generates waste that most often does not have&#xD;
proper disposal. Among solid residues, the cassava peel represents a valuable source of biomass&#xD;
for the production of bioenergy due to its lignocellulosic characteristics. Fluidized bed&#xD;
technology appears as a potential alternative, both for drying as biomass pre-treatment, in order&#xD;
to reduce its high moisture content, and for thermochemical conversion processes. This&#xD;
technology, by promoting an intense mixing between the particles and the fluid, intensifies the&#xD;
rates of heat and mass transfer, and of conversion. To assist in the fluidization of different&#xD;
biomasses, inert particles have been commonly used. Therefore, given the scarcity of&#xD;
information in the literature on the application of the fluidized bed technique for the processing&#xD;
of residual cassava husk, the objective of this work was to investigate the fluid dynamic&#xD;
behavior of single components and binary mixtures containing biomass particles from cassava&#xD;
peel and sand particles in fluidized bed. The fluid dynamic tests were carried out in a typical&#xD;
fluidized bed with air at room temperature, binary mixtures of 1.29 mm biomass with sand of&#xD;
1.29 mm and 0.93 mm, following a 33&#xD;
factorial design, in order to evaluate the effects of the&#xD;
bed aspect ratio L/D (1, 1.5 and 2), of the volumetric fraction (25%, 50% and 75%) and of the&#xD;
moisture content of the biomass (10%, 42.5% and 75% b.u.), in addition to influence of the&#xD;
inert particle diameter on the fluidization parameters. Pressure drop and velocity data were&#xD;
measured using an U-tube differential manometer and an anemometer, respectively. The results&#xD;
for the binary mixtures showed that the bed aspect ratio influenced the behavior of the incipient&#xD;
and complete fluidization velocities. The moisture of the particles significantly affected all&#xD;
velocities, including the minimum fluidization, mainly as the volumetric proportion of biomass&#xD;
and the bed aspect ratio increased. The proportion of biomass affected moist and dried biomass&#xD;
in different ways and the velocities generally increased for the larger diameter inert. The&#xD;
slugging phenomenon seen for pure biomass beds did not occur with the binary mixtures,&#xD;
indicating an improvement in the fluidization quality of the mixture with the use of sand as&#xD;
inert, in line with the angle of repose data obtained. Based on the fluid dynamic analysis carried&#xD;
out, the most suitable operating conditions to obtain greater fluidization quality and stability,&#xD;
both for drying the wet cassava peel (75% b.u.) and for the thermochemical conversion&#xD;
processes of the dehydrated biomass (10% b.u.), were those using the binary mixture with the&#xD;
sand having the smallest particle diameter (0.93 mm), with 75% volumetric fraction of biomass&#xD;
and L/D ratio of 1.5. For perspectives of studies resulting from this line of research, there is the&#xD;
definition of the optimal operating conditions to increase the thermal efficiency of a fluidized&#xD;
bed dryer, having as reference the fluid dynamic data determined here, in addition to the&#xD;
application of cassava peel and quartz sand in a fluidized bed reactor.</summary>
    <dc:date>2023-02-28T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Representação e classificação de perfis térmicos de isoladores poliméricos para diagnóstico de poluição superficial</title>
    <link rel="alternate" href="https://ri.ufs.br/jspui/handle/riufs/25868" />
    <author>
      <name>Oliveira, Johnny Herbert Paixão de</name>
    </author>
    <id>https://ri.ufs.br/jspui/handle/riufs/25868</id>
    <updated>2026-08-21T13:35:52Z</updated>
    <published>2026-08-05T00:00:00Z</published>
    <summary type="text">Título: Representação e classificação de perfis térmicos de isoladores poliméricos para diagnóstico de poluição superficial
Autor(es): Oliveira, Johnny Herbert Paixão de
Abstract: Monitoring insulators in electric power systems is essential for reducing the risk &#xD;
of failures associated with surface pollution. In coastal environments, salt deposition and &#xD;
the presence of moisture can intensify surface leakage current and cause localized heating &#xD;
capable of leading the equipment to failure and causing interruptions in the power supply. &#xD;
In this context, infrared thermography is a promising non-invasive technique because it &#xD;
enables the thermal condition of the equipment to be assessed without direct contact or &#xD;
interruption of operation. This dissertation proposes a methodology for classifying the &#xD;
thermal profiles of polymeric insulators, aiming to distinguish between clean and polluted &#xD;
conditions. To this end, one-dimensional thermal profiles are extracted from &#xD;
thermograms, corrected relative to the ambient temperature, segmented into successive &#xD;
windows, and described using features related to thermal level, temperature dispersion, &#xD;
including variance and standard deviation, contrast, distribution shape, including &#xD;
skewness and kurtosis, spatial variation, and spatial dependence. Three forms of &#xD;
representing the information along the profile are evaluated: aggregated, sequential, and &#xD;
symbolic. The aggregated representation summarizes the features obtained from the &#xD;
windows, whereas the sequential and symbolic representations explicitly preserve the &#xD;
spatial order of these windows. For classification, a support vector machine, a random &#xD;
forest, a long short-term memory recurrent neural network, a hidden Markov model with &#xD;
Gaussian mixtures, and a discrete hidden Markov model are evaluated. The dataset &#xD;
comprises 344 thermal profiles distributed across 69 acquisition groups and includes &#xD;
clean insulators as well as insulators subjected to artificial and natural pollution. Feature &#xD;
selection, model tuning, and the initial performance estimation are conducted through &#xD;
nested validation with separation by acquisition groups, thereby preventing samples &#xD;
originating from the same acquisition from being distributed between the training and test &#xD;
sets. The results indicate that all evaluated models are capable of distinguishing between &#xD;
clean and polluted profiles. Subsequently, a robustness analysis is conducted in which the &#xD;
best models for each representation are evaluated over different repetitions of the &#xD;
training–test split, while keeping fixed the selected features, hyperparameters, and &#xD;
structures defined during nested validation. In this analysis, the support vector machine &#xD;
applied to the aggregated representation achieves the best performance, with a balanced &#xD;
x &#xD;
accuracy of 0.923 ± 0.058 and a multicriteria metric of 0.897 ± 0.067. It is concluded that &#xD;
the spatial segmentation of the thermal profile provides relevant information for &#xD;
identifying surface pollution and constitutes a promising approach for the diagnosis of &#xD;
polymeric insulators.</summary>
    <dc:date>2026-08-05T00:00:00Z</dc:date>
  </entry>
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