Perceptual quantification of active noise control in urban residential settings
Noise exposure is an ironically neglected pollutant that is detrimental to public health, especially in dense urban cities. Although a proof-of-principle active noise control (ANC) system to mitigate environmental noise through open windows was recently developed in NTU, it is based on an energetic...
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2022
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sg-ntu-dr.10356-1582772023-07-07T18:56:17Z Perceptual quantification of active noise control in urban residential settings Lim, Kelvin Chee Quan Gan Woon Seng School of Electrical and Electronic Engineering Digital Signal Processing Laboratory EWSGAN@ntu.edu.sg Engineering::Electrical and electronic engineering Noise exposure is an ironically neglected pollutant that is detrimental to public health, especially in dense urban cities. Although a proof-of-principle active noise control (ANC) system to mitigate environmental noise through open windows was recently developed in NTU, it is based on an energetic reduction of noise levels. Sound level alone often does not correlate with psychological quantities such as annoyance. This project seeks to quantify the perceptual effects of ANC on representative environmental noise types. The evaluation methodology is rooted in psychoacoustics and soundscape, wherein participants would be recruited to partake in a subjective experiment. The questionnaire to be presented to the participants would be developed on LabVIEW Web Module to interface with the ANC system. Student should be proficient with LabVIEW and possess a good understanding of basic acoustics concepts such as frequency weight, decibels, and sound pressure level. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-01T06:16:40Z 2022-06-01T06:16:40Z 2022 Final Year Project (FYP) Lim, K. C. Q. (2022). Perceptual quantification of active noise control in urban residential settings. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158277 https://hdl.handle.net/10356/158277 en A3079-211 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Lim, Kelvin Chee Quan Perceptual quantification of active noise control in urban residential settings |
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Noise exposure is an ironically neglected pollutant that is detrimental to public health, especially in dense urban cities. Although a proof-of-principle active noise control (ANC) system to mitigate environmental noise through open windows was recently developed in NTU, it is based on an energetic reduction of noise levels. Sound level alone often does not correlate with psychological quantities such as annoyance. This project seeks to quantify the perceptual effects of ANC on representative environmental noise types. The evaluation methodology is rooted in psychoacoustics and soundscape, wherein participants would be recruited to partake in a subjective experiment. The questionnaire to be presented to the participants would be developed on LabVIEW Web Module to interface with the ANC system. Student should be proficient with LabVIEW and possess a good understanding of basic acoustics concepts such as frequency weight, decibels, and sound pressure level. |
author2 |
Gan Woon Seng |
author_facet |
Gan Woon Seng Lim, Kelvin Chee Quan |
format |
Final Year Project |
author |
Lim, Kelvin Chee Quan |
author_sort |
Lim, Kelvin Chee Quan |
title |
Perceptual quantification of active noise control in urban residential settings |
title_short |
Perceptual quantification of active noise control in urban residential settings |
title_full |
Perceptual quantification of active noise control in urban residential settings |
title_fullStr |
Perceptual quantification of active noise control in urban residential settings |
title_full_unstemmed |
Perceptual quantification of active noise control in urban residential settings |
title_sort |
perceptual quantification of active noise control in urban residential settings |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/158277 |
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1772826648591204352 |