Abstract
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.
Funder
National Research Foundation of Korea Grant funded by the Korean Government
Ministry of Trade, Industry and Energy (MOTIE, Korea) under Industrial Technology Innovation Program
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference31 articles.
1. Permissioned blockchain and deep-learning for secure and efficient data sharing in industrial healthcare systems;Kumar;IEEE Trans. Ind. Inform.,2022
2. Bdtwin: An integrated framework for enhancing security and privacy in cybertwin-driven automotive industrial Internet of things;Kumar;IEEE Internet Things J.,2021
3. Multisensory perception: Beyond the visual in visualization;Loftin;Comput. Sci. Eng.,2003
4. Taylor, M.T., Chandak, A., and Manocha, D. (2009, January 19–24). Resound: Interactive sound rendering for dynamic virtual environments. Proceedings of the 17th ACM International Conference on Multimedia, Beijing, China.
5. Acoustical finite-difference time-domain simulation in a quasi-Cartesian grid;Botteldooren;J. Acoust. Soc. Am.,1994
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献