دورية أكاديمية
Automated identification and assessment of environmental noise sources
| العنوان: | Automated identification and assessment of environmental noise sources |
|---|---|
| المؤلفون: | Jure Murovec, Luka Čurović, Anže Železnik, Jurij Prezelj |
| المصدر: | Heliyon, Vol 9, Iss 1, Pp e12846- (2023) |
| بيانات النشر: | Elsevier, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Science (General) LCC:Social sciences (General) |
| مصطلحات موضوعية: | Immission directivity, Spatial filtering, Noise source classification, Environmental noise, Microphone array, Automatization of measurements, Science (General), Q1-390, Social sciences (General), H1-99 |
| الوصف: | Noise pollution is one of the major health risks in urban life. The approach to measurement and identification of noise sources needs to be improved and enhanced to reduce high costs. Long measurement times and the need for expensive equipment and trained personnel must be automated. Simplifying the identification of main noise sources and excluding residual and background noise allows more effective measures. By spatially filtering the acoustic scene and combining unsupervised learning with psychoacoustic features, this paper presents a prototype system capable of automated calculation of the contribution of individual noise sources to the total noise level. Pilot measurements were performed at three different locations in the city of Ljubljana, Slovenia. Equivalent sound pressure levels obtained with the device were compared to the results obtained by manually marking individual parts of each of the three measurements. The proposed approach correctly identified the main noise sources in the vicinity of the measurement points. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2405-8440 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2405844023000531; https://doaj.org/toc/2405-8440 |
| DOI: | 10.1016/j.heliyon.2023.e12846 |
| URL الوصول: | https://doaj.org/article/e0b70814f9734ebea2ec98699eb32829 |
| رقم الأكسشن: | edsdoj.0b70814f9734ebea2ec98699eb32829 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 24058440 |
|---|---|
| DOI: | 10.1016/j.heliyon.2023.e12846 |