Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network

The search for methods to capture and record data on the intensity of the saltation flux of large particles (bouncing over the surface) is an important task, since their movement causes the generation of dust aerosol in arid areas. The proposed approach simulates a prototype device capable of tracin...

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Главные авторы:	Valuev, G. V., Валуев, Г. В., Nazarov, A. S., Назаров, А. С., Grobova, S. K., Гробова, С. К.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Acoustic methods Sound signal analysis Artificial neural network Filtering Dust particles Saltation Sound fixing
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29189
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id	ir-123456789-29189
record_format	dspace
spelling	ir-123456789-291892024-10-31T11:54:56Z Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network Valuev, G. V. Валуев, Г. В. Nazarov, A. S. Назаров, А. С. Grobova, S. K. Гробова, С. К. Acoustic methods Sound signal analysis Artificial neural network Filtering Dust particles Saltation Sound fixing The search for methods to capture and record data on the intensity of the saltation flux of large particles (bouncing over the surface) is an important task, since their movement causes the generation of dust aerosol in arid areas. The proposed approach simulates a prototype device capable of tracing the number of particles, in particular in dust storm conditions. The article proposes a method for analyzing audio recordings to detect particle impacts using a neural network approach. The spectrogram of the sound signal is analyzed. The neural network performs the recognition of the intensity and frequency of particle impacts. The accuracy of the neural network on a test sample obtained in natural conditions is 87.27%. 2024-10-31T11:52:56Z 2024-10-31T11:52:56Z 2024 Статья Malinovskaya E., Valuev G., Nazarov A., Grobova S., Maksimenkov L. Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network // Lecture Notes in Networks and Systems. - 2024. - 1044 LNNS. - pp. 254 - 261. - DOI: 10.1007/978-3-031-64010-0_23 https://dspace.ncfu.ru/handle/123456789/29189 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Acoustic methods Sound signal analysis Artificial neural network Filtering Dust particles Saltation Sound fixing
spellingShingle	Acoustic methods Sound signal analysis Artificial neural network Filtering Dust particles Saltation Sound fixing Valuev, G. V. Валуев, Г. В. Nazarov, A. S. Назаров, А. С. Grobova, S. K. Гробова, С. К. Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
description	The search for methods to capture and record data on the intensity of the saltation flux of large particles (bouncing over the surface) is an important task, since their movement causes the generation of dust aerosol in arid areas. The proposed approach simulates a prototype device capable of tracing the number of particles, in particular in dust storm conditions. The article proposes a method for analyzing audio recordings to detect particle impacts using a neural network approach. The spectrogram of the sound signal is analyzed. The neural network performs the recognition of the intensity and frequency of particle impacts. The accuracy of the neural network on a test sample obtained in natural conditions is 87.27%.
format	Статья
author	Valuev, G. V. Валуев, Г. В. Nazarov, A. S. Назаров, А. С. Grobova, S. K. Гробова, С. К.
author_facet	Valuev, G. V. Валуев, Г. В. Nazarov, A. S. Назаров, А. С. Grobova, S. K. Гробова, С. К.
author_sort	Valuev, G. V.
title	Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
title_short	Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
title_full	Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
title_fullStr	Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
title_full_unstemmed	Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
title_sort	recognition of particle impacts in acoustic fixing of dust flow using an artificial neural network
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2024
url	https://dspace.ncfu.ru/handle/123456789/29189
work_keys_str_mv	AT valuevgv recognitionofparticleimpactsinacousticfixingofdustflowusinganartificialneuralnetwork AT valuevgv recognitionofparticleimpactsinacousticfixingofdustflowusinganartificialneuralnetwork AT nazarovas recognitionofparticleimpactsinacousticfixingofdustflowusinganartificialneuralnetwork AT nazarovas recognitionofparticleimpactsinacousticfixingofdustflowusinganartificialneuralnetwork AT grobovask recognitionofparticleimpactsinacousticfixingofdustflowusinganartificialneuralnetwork AT grobovask recognitionofparticleimpactsinacousticfixingofdustflowusinganartificialneuralnetwork
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Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network

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