DSpace Communidade:https://repositorio.uema.br/jspui/handle/123456789/18852026-06-09T22:10:26Z2026-06-09T22:10:26ZTecnologias sem fio aplicadas na indústria 4.0https://repositorio.uema.br/jspui/handle/123456789/61832026-06-09T18:14:55Z2025-07-28T00:00:00ZTítulo: Tecnologias sem fio aplicadas na indústria 4.0
Abstact: This study focuses on wireless technologies applied to the context of Industry 4.0. A systematic literature review methodology was adopted, based on scientific articles and conference papers that discuss the topic and contribute to a deeper analysis. The main objective is to identify and
present the wireless technologies used in this context, evaluating their most relevant technical characteristics. Metadata such as abstracts, authors, keywords, year of publication, and number of citations were extracted, considering the time frame from 2014 to 2025. This period allows
for tracking the evolution of research alongside the practical adoption of these technologies in the industrial sector. The study proposes a comparison of the identified technological solutions based on criteria such as coverage, energy efficiency, and implementation cost, aiming to
provide a comprehensive technical overview that supports decision-making in industrial
projects based on wireless connectivity.This study focuses on wireless technologies applied to the context of Industry 4.0. A systematic literature review methodology was adopted, based on scientific articles and conference papers that discuss the topic and contribute to a deeper analysis. The main objective is to identify and
present the wireless technologies used in this context, evaluating their most relevant technical characteristics. Metadata such as abstracts, authors, keywords, year of publication, and number of citations were extracted, considering the time frame from 2014 to 2025. This period allows
for tracking the evolution of research alongside the practical adoption of these technologies in the industrial sector. The study proposes a comparison of the identified technological solutions based on criteria such as coverage, energy efficiency, and implementation cost, aiming to
provide a comprehensive technical overview that supports decision-making in industrial
projects based on wireless connectivity.2025-07-28T00:00:00ZIdentificação de fachadas residenciais e comerciais usando rede neural convolucionalhttps://repositorio.uema.br/jspui/handle/123456789/61822026-06-09T15:10:34Z2025-02-20T00:00:00ZTítulo: Identificação de fachadas residenciais e comerciais usando rede neural convolucional
Abstact: The classiĄcation of facades as residential or commercial is an important issue in several
areas such as public safety, real estate analysis and urban planning. With Deep Learning
(DL), convolutional neural networks (CNNs) are used for pattern recognition in images.
In this work, a model based on the ResNet50 architecture is used, employing Transfer
Learning to improve the performance in facade classiĄcation, adapting the pre-trained
model to allow generalization to the speciĄc context of urban facades. In addition, Data
Augmentation techniques are used to expand the set of available images and avoid overĄtting
problems. The proposed approach uses Global Average Pooling layers to reduce the
dimensionality of the data extracted by ResNet50 and dense layers for binary classiĄcation
between residential and commercial facades. The loss function used is Binary Crossentropy,
and the model is optimized with the Adam algorithm, which guarantees stability during
training. The experiments carried out demonstrated that the combination of pre-trained
models with a regionalized dataset allowed the creation of an eicient classiĄer for this
task, achieving good levels of accuracy and area under the ROC curve (AUC). The results
indicate that the methodology can be applied in automated systems for identifying urban
facades, contributing to several areas, such as municipal management and the real estate
sector2025-02-20T00:00:00ZAplicabilidade e desempenho de banco de dados NoSQL em aplicações modernas: um estudo de caso em MongoDB, Cassandra, Neo4j e Redishttps://repositorio.uema.br/jspui/handle/123456789/61812026-06-09T14:06:51Z2025-07-31T00:00:00ZTítulo: Aplicabilidade e desempenho de banco de dados NoSQL em aplicações modernas: um estudo de caso em MongoDB, Cassandra, Neo4j e Redis
Abstact: The exponential growth in data volume and complexity in the Big Data era has driven
the adoption of NoSQL databases, which offer high scalability, flexibility, and performance.
However, the diversity of models—such as Document, Columnar, Graph, and Key-Value—
presents a challenge in choosing the appropriate technology for each type of application. This
work presents a comparative case study on the applicability and performance of four prominent
NoSQL databases: MongoDB, Cassandra, Neo4j, and Redis. For this analysis, an application
was developed in Python, using the FastAPI framework for the API and Streamlit for the
visualization interface, running in a dockerized environment. Performance tests were conducted
across four distinct scenarios: batch writing, complex filtered reads, data aggregation, and
relationship traversal. The results demonstrate that there is no one-size-fits-all solution, and the
performance of each database is intrinsically linked to its architecture and the specific workload,
thus providing practical insights for the development of modern applications.2025-07-31T00:00:00ZI-Patri : a aplicabilidade django para controle patrimonial de secretarias estaduaishttps://repositorio.uema.br/jspui/handle/123456789/61802026-06-09T13:03:16Z2025-07-31T00:00:00ZTítulo: I-Patri : a aplicabilidade django para controle patrimonial de secretarias estaduais
Abstact: This paper focuses on optimizing asset control in state secretariats through the development of a computerized system, aiming to improve the management of public assets. The main objective is to analyze and develop a Python application using Django for managing the patrimony of state secretariats, seeking to enhance and promote more efficient and transparent management of key public assets. To this end, the study contextualizes the Django framework, its Model-View-Template (MVT) architecture, conceptualizes asset management, and details the implementation of a functional and accessible system named i-Patri. Addressing asset management through technological solutions is relevant as it ensures the transparency, traceability, and efficiency required for public administration in a constantly modernizing scenario. This work is an applied, exploratory study, conducted in the form of a case study with results treated qualitatively, based on observation and interviews, in addition to data collected from secondary sources. The adopted approach followed the principles of Lean methodologies, focusing on incremental delivery and continuous feedback. As a result of the research and development process, it was concluded that the i-Patri application, developed using Django, provides optimized control and traceability of public assets, facilitates audits, improves administrative transparency, and stands out for offering greater efficiency, better scalability, and enhanced usability compared to previous systems. The implementation of a relational database (MySQL) ensured information security and integrity, reinforcing the importance of adopting technological solutions for the modernization and efficiency of public management2025-07-31T00:00:00Z