DSpace Coleção:https://repositorio.ufpb.br/jspui/handle/123456789/24042026-04-07T16:41:44Z2026-04-07T16:41:44Zavaliação e seleção de fundos de investimentos multimercado no Brasil utilizando Análise Envoltória de DadosAndrade, Késsia Gomeshttps://repositorio.ufpb.br/jspui/handle/123456789/361752025-10-09T06:09:07Z2025-10-06T00:00:00ZTítulo: avaliação e seleção de fundos de investimentos multimercado no Brasil utilizando Análise Envoltória de Dados
Autor(es): Andrade, Késsia Gomes
Orientador: Rotella Junior, Paulo
Abstract: This study proposes the application of Data Envelopment Analysis (DEA) for evaluation and
selection of investment funds classified as Multimarket in Brazil as an alternative to traditional
performance evaluation methods. The main objective was to identify and select the most
efficient funds considering risk, return, cost, and performance consistency criteria. The model
used was DEA-BCC output-oriented with computational implementation via Python. The input
variables were return volatility over two and five years and the management fee, while the
output variables were average annual returns over two and five years and the percentage of
months with positive returns over five years. 602 funds were analyzed after a filtering process
using Economatica, and the results demonstrated that only 34 funds (5.6% of the sample)
reached the efficiency frontier. When compared to the sample, funds considered efficient
showed superior average annual returns, greater consistency, lower costs, and lower volatility.
The study concludes that DEA is a valuable tool for analysis and selection of Multimarket funds
in Brazil and that efficiency is achieved through simultaneous optimization across multiple
performance dimensions
Editor: Universidade Federal da Paraíba
Tipo: TCC2025-10-06T00:00:00ZAnálise de som para detectar desbalanceamento em um sistema de hélice usando redes neurais convolucionais / Alexandre Sampaio de FigueiredoFigueiredo, Alexandre Sampaio dehttps://repositorio.ufpb.br/jspui/handle/123456789/361722025-10-09T06:08:58Z2025-09-24T00:00:00ZTítulo: Análise de som para detectar desbalanceamento em um sistema de hélice usando redes neurais convolucionais / Alexandre Sampaio de Figueiredo
Autor(es): Figueiredo, Alexandre Sampaio de
Orientador: Rodrigues, Marcelo Cavalcanti
Abstract: Early fault diagnosis is traditionally performed using vibration analysis, acoustics, and
visual inspection techniques; however, these methods have limitations when applied
on a large scale or in environments with high noise levels. In this scenario, advances
in artificial intelligence, particularly Convolutional Neural Networks CNNs, have
enabled new approaches for the automatic detection of anomalies in signals of audio
and images. This work presents the application of CNNs to the processing of audio to
identify faults in rotating machinery. The experiment consisted of collecting data under
two conditions: normal state and with imbalance in one of the propeller blades. The
audio signals were processed and transformed into spectrographic representations,
allowing them to be used in CNNs for automatic classification. The applied
methodology aims to contribute to the advancement of predictive maintenance in
machines by offering an artificial intelligence-based approach for diagnosing
mechanical faults. Results indicate high model accuracy (100% accuracy, 100% f1-
score, 100% precision, 100% recall), demonstrating the viability of the proposal.
Editor: Universidade Federal da Paraíba
Tipo: TCC2025-09-24T00:00:00ZAnálise Numérica e Experimental da Aerodinâmica de uma Motocicleta de Competição em Escala Reduzida Utilizando OpenFOAM e um Túnel de Vento /Frederico, Nathan Pereirahttps://repositorio.ufpb.br/jspui/handle/123456789/361442025-10-08T06:04:57Z2025-09-16T00:00:00ZTítulo: Análise Numérica e Experimental da Aerodinâmica de uma Motocicleta de Competição em Escala Reduzida Utilizando OpenFOAM e um Túnel de Vento /
Autor(es): Frederico, Nathan Pereira
Orientador: Santos, Paulo Henrique Dias dos
Abstract: This work presents a numerical and experimental analysis of the aerodynamics of a scaleddown competition motorcycle prototype. The numerical investigation was conducted using
the open-source software OpenFOAM with the SST k–ω turbulence model. In parallel, a
low-cost wind tunnel was designed and instrumented for experimental validation, featuring
an acrylic test section, a 1800 W suction blower, and a data acquisition system based on
an Arduino Uno with a load cell and HX711 module for direct drag force measurement.
A mesh independence study was carried out, comparing three refinement levels based
on the aerodynamic drag coefficient (CD) number of elements, and computational time.
The numerical results for the drag coefficient CD = 0.59169 and drag force FD = 2.04 gf
were compared with experimental data CD = 0.62014 and FD = 2.14 ± 0.20 gf, showing
differences of 4.67% for the drag force and 4.59% for the drag coefficient. This close
agreement validates the adopted numerical methodology and demonstrates the feasibility
of the low-cost experimental apparatus. The study confirms that the combination of
computational simulation and accessible experimental validation is a powerful and replicable
tool for aerodynamic development in academic environments and for competition teams
with limited resources, such as those in MotoStudent.
Editor: Universidade Federal da Paraíba
Tipo: TCC2025-09-16T00:00:00ZDesenvolvimento de procedimentos operacionais das atividades críticas da manutenção mecânica da unidade CSN AlhandraAlves, Giulia Peregrinohttps://repositorio.ufpb.br/jspui/handle/123456789/361432025-10-08T06:04:57Z2025-08-27T00:00:00ZTítulo: Desenvolvimento de procedimentos operacionais das atividades críticas da manutenção mecânica da unidade CSN Alhandra
Autor(es): Alves, Giulia Peregrino
Orientador: Albuquerque, Siderley Fernandes
Abstract: nao consta abstrac
Editor: Universidade Federal da Paraíba
Tipo: TCC2025-08-27T00:00:00Z