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Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices
We propose a multi-threaded algorithm that can improve the performance of geometric acoustic (GA)-based sound propagation algorithms in mobile devices. In general, sound propagation algorithms require high computational cost because they perform based on ray tracing algorithms. For this reason, it i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864067/ https://www.ncbi.nlm.nih.gov/pubmed/36679768 http://dx.doi.org/10.3390/s23020973 |
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author | Kim, Eunjae Choi, Sukwon Kim, Cheong Ghil Park, Woo-Chan |
author_facet | Kim, Eunjae Choi, Sukwon Kim, Cheong Ghil Park, Woo-Chan |
author_sort | Kim, Eunjae |
collection | PubMed |
description | We propose a multi-threaded algorithm that can improve the performance of geometric acoustic (GA)-based sound propagation algorithms in mobile devices. In general, sound propagation algorithms require high computational cost because they perform based on ray tracing algorithms. For this reason, it is difficult to operate sound propagation algorithms in mobile environments. To solve this problem, we processed the early reflection and late reverberation steps in parallel and verified the performance in four scenes based on eight sound sources. The experimental results showed that the performance of the proposed method was on average 1.77 times better than that of the single-threaded method, demonstrating that our algorithm can improve the performance of mobile devices. |
format | Online Article Text |
id | pubmed-9864067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98640672023-01-22 Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices Kim, Eunjae Choi, Sukwon Kim, Cheong Ghil Park, Woo-Chan Sensors (Basel) Article We propose a multi-threaded algorithm that can improve the performance of geometric acoustic (GA)-based sound propagation algorithms in mobile devices. In general, sound propagation algorithms require high computational cost because they perform based on ray tracing algorithms. For this reason, it is difficult to operate sound propagation algorithms in mobile environments. To solve this problem, we processed the early reflection and late reverberation steps in parallel and verified the performance in four scenes based on eight sound sources. The experimental results showed that the performance of the proposed method was on average 1.77 times better than that of the single-threaded method, demonstrating that our algorithm can improve the performance of mobile devices. MDPI 2023-01-14 /pmc/articles/PMC9864067/ /pubmed/36679768 http://dx.doi.org/10.3390/s23020973 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Eunjae Choi, Sukwon Kim, Cheong Ghil Park, Woo-Chan Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices |
title | Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices |
title_full | Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices |
title_fullStr | Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices |
title_full_unstemmed | Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices |
title_short | Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices |
title_sort | multi-threaded sound propagation algorithm to improve performance on mobile devices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864067/ https://www.ncbi.nlm.nih.gov/pubmed/36679768 http://dx.doi.org/10.3390/s23020973 |
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