TEDE Collection:https://tede.unioeste.br/handle/tede/57242026-08-07T15:17:08Z2026-08-07T15:17:08ZDesenvolvimento e avaliação de um equipamento eletrônico para monitorar odor no contexto de Cidades InteligentesXavier, Felipe Natã de Camargohttps://tede.unioeste.br/handle/tede/85622026-07-29T13:41:58Z2026-04-28T00:00:00ZTitle: Desenvolvimento e avaliação de um equipamento eletrônico para monitorar odor no contexto de Cidades Inteligentes
Autor: Xavier, Felipe Natã de Camargo
Primeiro orientador: Camargo, Edson Tavares de
Abstract: The increasing urbanization and the expansion of industrial and agro-industrial activities have
intensified problems related to odor emissions and air quality degradation. The monitoring and
identification of these pollutants remain challenging due to the cost of reference equipment and
the limited availability of technologies for environmental regulation and control. In this context,
this work presents the development and evaluation of an electronic system for odor monitoring and
identification. The proposed system consists of a low-cost sensor array, including electrochemical
sensors and a Photo Ionization Detector (PID), capable of detecting relevant odorant gases such
as hydrogen sulfide (H2S), ammonia (NH3), sulfur dioxide (SO2), methanethiol (CH3SH), and
volatile organic compounds (VOC). The device integrates an embedded system responsible
for data acquisition, preprocessing, and storage, as well as remote data transmission using the
LoRaWANprotocol. The experimental methodology included laboratory tests to evaluate the
influence of temperature and humidity on sensor response, odor sample tests for odor profile
analysis, experiments with known concentrations of H2S, and field campaigns in different
scenarios, including composting environments, urban areas, and a dairy cattle barn. Additionally,
the influence of the sampling regime (active and passive flow) was evaluated, highlighting the
impact of the air intake system on sensor response dynamics. The results demonstrated that the
system is capable of indicatively distinguishing odor profiles. The application of machine learning
techniques, such as Kernel PCA and Random Forest, enabled pattern recognition, reinforcing
the multivariate analysis approach typical of electronic noses. As an additional contribution,
representative datasets of different odor emission scenarios were generated, including an urban
dataset in the city of Toledo and an agricultural dataset in a dairy cattle environment. The results
indicate that systems based on low-cost sensors, integrated with machine learning techniques
and IoT infrastructure, represent a promising alternative for environmental monitoring and odor
identification, particularly in distributed applications within the context of smart cities.
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Dissertação2026-04-28T00:00:00ZElaboração e avaliação de um catálogo de requisitos não-funcionais em um contexto de domínio de aplicação de diplomas digitaisGILNEK, Vitor Luiz Caldeirahttps://tede.unioeste.br/handle/tede/83552026-04-14T16:47:32Z2025-12-18T00:00:00ZTitle: Elaboração e avaliação de um catálogo de requisitos não-funcionais em um contexto de domínio de aplicação de diplomas digitais
Autor: GILNEK, Vitor Luiz Caldeira
Primeiro orientador: Santander, Victor Francisco Araya
Abstract: The adoption of the Digital Diploma in Brazil has created a context in which issuance and
registration systems must comply with particularly rigorous quality standards. However, there
is a lack of a systematized and structured definition of non-functional requirements (NFRs) for
this domain, which hinders consistent specification and compromises well-founded architectural
decision-making. This work addresses this gap by proposing a systematized catalog of NFRs
for the Digital Diploma domain, motivated by the need to guide the development of more
robust solutions aligned with regulatory requirements. The objective of this research was to
design, model, and validate a catalog based on the NFR Framework, represented through Softgoal
Interdependency Graphs(SIGs).Themethodologycombinedlegislativeanalysis,anobservational
study of a real-world system, a Systematic Literature Review, application of the ATAM method,
SIG modeling, expert validation through a survey, and a Proof of Concept to assess practical
applicability. The results indicate that the catalog is comprehensive, technically consistent, and
considered useful by specialists, while also demonstrating applicability in real-world scenarios.
The proposed operationalizations showed potential to support architectural decision-making
and inspire functionalities in other systems. Thus, this work delivers an updated and applicable
artifact that contributes to the development of more secure and interoperable Digital Diploma
systems.
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Dissertação2025-12-18T00:00:00ZOntoMI: Uma Ontologia Fundamentada na Teoria das Inteligências Múltiplas para Classificação Semântica de Recursos EducacionaisSPECK, Jefferson Rodrigohttps://tede.unioeste.br/handle/tede/83012026-04-28T11:12:15Z2026-02-20T00:00:00ZTitle: OntoMI: Uma Ontologia Fundamentada na Teoria das Inteligências Múltiplas para Classificação Semântica de Recursos Educacionais
Autor: SPECK, Jefferson Rodrigo
Primeiro orientador: Andrade, Sidgley Camargo de
Abstract: The formal and explainable representation of educational theories in computational systems
remains a challenge for teaching-personalization initiatives, especially when the goal is to trace
inferences back to observable textual evidence. In this context, this study investigates the potential
of an ontological and computational approach to classify and semantically represent textual
educational resources, adopting the Theory of Multiple Intelligences as the pedagogical reference
for instantiation. The research was conducted under the Design Science Research paradigm,
integrating a systematic literature review, ontology engineering methods through Ontology
Development 101 and SABiOx, and a proof of concept. As results, a pedagogical practices
guide, the OntoMI ontology, and the Intelli3 computational model were produced. OntoMI
structured the link between linguistic evidence and inferred categories, promoting traceability
and support for explainability. Intelli3 generated vector-based profiles from the instantiated
knowledge and enabled the ranking of instructional materials according to multiple-intelligence
profiles. Empirical tests indicated stability and precision in differentiating profiles, supporting
the technical feasibility of semantic classification when computational inference is grounded in
explicitly stated evidence. It is concluded that the ontology serves as the formalization core and
mediation layer between pedagogical theory and computational operationalization, supporting
teacher decision-making without replacing the educator’s interpretive role.
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Dissertação2026-02-20T00:00:00ZPós-edição humana apoiada por anotações de erro: um estudo de caso para textos científicos de português brasileiro para inglêsNürmberg, Rodrigo Schmidthttps://tede.unioeste.br/handle/tede/82062026-01-09T15:07:25Z2025-09-12T00:00:00ZTitle: Pós-edição humana apoiada por anotações de erro: um estudo de caso para textos científicos de português brasileiro para inglês
Autor: Nürmberg, Rodrigo Schmidt
Primeiro orientador: Spanhol, Fabio Alexandre
Abstract: The internet and globalization have boosted the demand for translation services. In this scenario,
the automated translation of texts, by means of computer programs, aims to meet part of this
demand and improve the productivity of translators. However, problems with the quality of
automated translation are accentuated in specific contexts, due to the characteristics of the
domain, such as the translation of scientific texts, an area in which more than 80% of all world
publications are in English. The improvement in the fluency of automated translations makes it
difficult to identify such errors, demanding additional attention from proofreaders. A case study
was conducted to investigate whether error annotations, generated by quality estimation models
of automated translations, can support translators in the post-editing of scientific texts, translated
from Brazilian Portuguese into English, with a view to increasing the productivity and quality of
translations. No evidence of increased productivity was found, associated exclusively with the
presence of highlights. The quality assessments are still under analysis and their results will be
communicated in due course. Although translators in the highlighted modalities corrected 1.5
times more critical errors than those in the No highlighted modality, no significant differences
were found in quality averages between the modalities. In terms of usability, participants
acknowledged the influence of highlights on post-editing, but their perception of its usefulness
was mixed.
Keywords: machine translation; scholarly communication; quality estimation;
Publisher: Universidade Estadual do Oeste do Paraná
Tipo do documento: Dissertação2025-09-12T00:00:00Z