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Paper Abstract and Keywords
Presentation 2026-06-04 14:00
Relationship Between the Hurst Exponent and Root-Mean-Square Sound Pressure in Environmental Noise Time Series -- Analysis Using Gamma Regression and Bayesian Statistical Modeling --
Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2026-1
Abstract (in Japanese) (See Japanese page) 
(in English) This study focuses on the limitation of current environmental noise assessment in administrative practice, which primarily relies on sound pressure levels and does not sufficiently account for temporal structure and signal complexity. In recent years, noise disputes have emerged even under conditions that satisfy regulatory standards, suggesting the inadequacy of conventional indicators.
To address this issue, time-series data of environmental noise measured at a roadside intersection were segmented into fixed intervals, and the relationship between the root mean square sound pressure and the Hurst exponent, a measure of complexity, was quantitatively evaluated. A gamma regression model was employed, and distributional estimation was conducted using Bayesian statistical modeling with Stan.
The results showed consistent regression relationships between frequentist and Bayesian approaches, confirming the validity of the distribution-based analysis. Furthermore, predictive analysis based on posterior distributions revealed the dimensional characteristics of environmental noise at the observation site and demonstrated the usefulness of temporal features that cannot be captured by conventional sound pressure level metrics, suggesting the potential for new evaluation indicators.
Keyword (in Japanese) (See Japanese page) 
(in English) Environmental Noise / Time Series Analysis / Hurst Exponent / Gamma Regression / Bayesian Modeling / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 54, SIS2026-1, pp. 1-6, June 2026.
Paper # SIS2026-1 
Date of Issue 2026-05-28 (SIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SIS2026-1

Conference Information
Committee SIS  
Conference Date 2026-06-04 - 2026-06-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Iwaki Business Innovation Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Intelligent Multimedia Systems, Applied Embedded Systems, Three-Dimensional Image Technology (3DIT), etc. 
Paper Information
Registration To SIS 
Conference Code 2026-06-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Relationship Between the Hurst Exponent and Root-Mean-Square Sound Pressure in Environmental Noise Time Series 
Sub Title (in English) Analysis Using Gamma Regression and Bayesian Statistical Modeling 
Keyword(1) Environmental Noise  
Keyword(2) Time Series Analysis  
Keyword(3) Hurst Exponent  
Keyword(4) Gamma Regression  
Keyword(5) Bayesian Modeling  
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1st Author's Name Hideo Shibayama  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura Institute of Technology)
2nd Author's Name Yoshiaki Makabe  
2nd Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
3rd Author's Name Kenji Muto  
3rd Author's Affiliation Shibaura Institute of Technology (Shibaura Institute of Technology)
4th Author's Name Tomoaki Kimura  
4th Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
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Speaker Author-2 
Date Time 2026-06-04 14:00:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2026-1 
Volume (vol) vol.126 
Number (no) no.54 
Page pp.1-6 
#Pages 6 
Date of Issue 2026-05-28 (SIS) 

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