Daniel de Lucena Flor

Mr. Daniel de Lucena Flor

Universidade Federal do Rio Grande do Norte

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 April 2020 in Sensors
Verified
Journal Article
Open access
PDF file
DFDaniel de Lucena Flor
Daniel de Lucena Flor
DPDanilo Pena
Danilo Pena
LPLuan Pena
Luan Pena
Vicente SousaVicente Sousa
Vicente Sousa
AMallan martins
allan martins
Vehicular acoustic noise evaluations are a concern of researchers due to health and comfort effects on humans and are fundamental for anyone interested in mitigating audio noise. This paper focuses on the evaluation of the noise level inside a vehicle by using statistical tools. First, an experimental setup was developed with microphones and a microcomputer located strategically on the car’s panel, and measurements were carried out with different conditions such as car window position, rain, traffic, and car speed. Regression analysis was performed to evaluate the similarity of the noise level from those conditions. Thus, we were able to discuss the relevance of the variables that contribute to the noise level inside a car. Finally, our results revealed that the car speed is strongly correlated to interior noise levels, suggesting the most relevant noise sources are in the vehicle itself.

2 March 2022 in Sensors
Verified
Journal Article
Open access
PDF file
DFDaniel de Lucena Flor
Daniel de Lucena Flor
DPDanilo Pena
Danilo Pena
HOHyago Lucas Oliveira
Hyago Lucas Oliveira
LPLuan Pena
Luan Pena
Vicente SousaVicente Sousa
Vicente Sousa
AMallan martins
allan martins
Recently, the issue of sound quality inside vehicles has attracted interest from both researchers and industry alike due to health concerns and also to increase the appeal of vehicles to consumers. This work extends the analysis of interior acoustic noise inside a vehicle under several conditions by comparing measured power levels and two different models for acoustic noise, namely the Gaussian and the alpha-stable distributions. Noise samples were collected in a scenario with real traffic patterns using a measurement setup composed of a Raspberry Pi Board and a microphone strategically positioned. The analysis of the acquired data shows that the observed noise levels are higher when traffic conditions are good. Additionally, the interior noise presented considerable impulsiveness, which tends to be more severe when traffic is slower. Finally, our results suggest that noise sources related to the vehicle itself and its movement are the most relevant ones in the composition of the interior acoustic noise.

16 September 2022 in Sensors
Verified
Journal Article
Open access
PDF file
JFJosé Marcos Leal Barbosa Filho
José Marcos Leal Barbosa Filho
MCMillena M. de M. Campos
Millena M. de M. Campos
DFDaniel de Lucena Flor
Daniel de Lucena Flor
WAWilliam S. Alves
William S. Alves
ADAdaildo Dassuncao
Adaildo Dassuncao
Vicente SousaVicente Sousa
Vicente Sousa
This work presents a Non-Ionizing Radiation (NIR) measurement campaign and proposes a specific measurement method for trajectography radars. This kind of radar has a high gain narrow beam antenna and emits a high power signal. Power density measurements from a C-band trajectography radar are carried out using bench equipment and a directional receiving antenna, instead of the commonly used isotropic probe. The measured power density levels are assessed for compliance test via comparison with the occupational and general public exposure limit levels of both the International Commission on Non-Ionizing Radiation Protection (ICNIRP) and the Brazilian National Telecommunication Agency (Anatel). The limit for the occupational public is respected everywhere, evidencing the safe operation of the studied radar. However, the limit for the general public is exceeded at a point next to the radar’s antenna, showing that preventive measures are needed.