PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA (PPGEE)

UNIVERSIDADE FEDERAL DA PARAÍBA

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Notícias


Banca de DEFESA: VIRGINIA VIEIRA AIRES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE: VIRGINIA VIEIRA AIRES
DATA: 27/02/2026
HORA: 15:00
LOCAL: https://meet.google.com/cik-gwmx-fut
TÍTULO: Study and Implementation of a Smart Tree in the IoT Context Aiming at Real-Time Measurement of Meteorological Data
PALAVRAS-CHAVES: Wind Prediction, Wavelet Transform, Smart Tree, Machine Learning, Climate Modeling, Temperature Sensors.
PÁGINAS: 52
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
RESUMO: Given the growing need for innovative and accessible environmental monitoring solutions, especially in hard-to-reach areas, this study investigates the use of temperature sensors installed on a structure inspired by natural trees, referred to as the SmartTree, located at the Center for Alternative and Renewable Energies (CEAR) of the Federal University of Paraíba, to estimate meteorological parameters such as wind speed and wind direction. Motivated by this context, the study proposes an alternative approach to conventional meteorological monitoring by employing tree inspired structures as natural platforms for climate sensing, based on the hypothesis that internal temperature variations within the tree trunk, captured by sensors installed at different heights, depths, and orientations, indirectly reflect external patterns of wind and ambient temperature. The methodology is based on the application of the Discrete Wavelet Transform to extract multiscale features, which are used as input for machine learning models including Random Forest, Gradient Boosting, Support Vector Machine, and Linear Regression. Data were collected from nine sensors positioned at different heights and orientations and complemented by additional information from a nearby weather station. Among the evaluated models, Random Forest achieved the best performance, reaching high accuracy with a mean absolute percentage error of 6.60%. The results confirm the potential of the tree inspired solution as a viable alternative for climate monitoring, with important applications such as forest fire prevention.
MEMBROS DA BANCA:
Presidente(a) - 1523920 - CLEONILSON PROTASIO DE SOUZA
Interno(a) - 1744179 - WASLON TERLLIZZIE ARAUJO LOPES
Externo(a) à Instituição - YAJUN AN