Zobrazeno 1 - 10
of 4 152
pro vyhledávání: '"Acoustic sensing"'
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 5, Pp 69-76 (2024)
Due to the low signal-to-noise ratio of raw data, the reliability of data and the accuracy of acoustic source localization are severely affected by fiber optic acoustic sensing technology. To address this issue, this study optimizes the wavelet thres
Externí odkaz:
https://doaj.org/article/c7703f77ca294778beca7052217b3906
Publikováno v:
Urban Lifeline, Vol 2, Iss 1, Pp 1-19 (2024)
Abstract This study presents the construction of an urban underground sensing system using distributed acoustic sensing (DAS) technology, which utilizes the existing optical fiber infrastructure around urban roads for communication. To address the ch
Externí odkaz:
https://doaj.org/article/af059cee39cd4e94be7480750b27af17
Publikováno v:
International Journal of Advances in Signal and Image Sciences, Vol 10, Iss 1, Pp 35-44 (2024)
Accurately classifying rain sounds is essential in the field of climate investigation and environmental monitoring for understanding rainfall patterns, intensity, and how it affects ecosystems and urban infrastructure. This research presents a new me
Externí odkaz:
https://doaj.org/article/a31074da37b34ae28c16ae84f44c12a8
Autor:
Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract Effective use of the wealth of information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose a semi‐supervised neural network tailored to screen DAS data related to a series of rock
Externí odkaz:
https://doaj.org/article/bfb09a042b7b44cea68452cdd127aea6
Publikováno v:
Green Energy and Intelligent Transportation, Vol 3, Iss 5, Pp 100178- (2024)
Railroad condition monitoring is paramount due to frequent passage through densely populated regions. This significance arises from the potential consequences of accidents such as train derailments, hazardous materials leaks, or collisions which may
Externí odkaz:
https://doaj.org/article/ba39701bba054a5caa2d0b4c6a647250
Autor:
Zhenghong Song, Xiangfang Zeng, Sidao Ni, Benxin Chi, Tengfei Xu, Zexun Wei, Wenzheng Jiang, Sheng Chen, Jun Xie
Publikováno v:
Earth and Space Science, Vol 11, Iss 9, Pp n/a-n/a (2024)
Abstract In the nearshore area, ocean current display intricate complexities due to interactions among tide, river, and coastline, which makes accurate current modeling challenging. Continuous in situ observation with high spatial and temporal resolu
Externí odkaz:
https://doaj.org/article/1e2f3e3a0ffa4801b41d0062a14f7b6b
Publikováno v:
Earthquake Research Advances, Vol 4, Iss 3, Pp 100274- (2024)
Distributed Acoustic Sensing (DAS) is an emerging technique for ultra-dense seismic observation, which provides a new method for high-resolution sub-surface seismic imaging. Recently a large number of linear DAS arrays have been used for two-dimensio
Externí odkaz:
https://doaj.org/article/b7d7901010824c60a0ba93174be620ff
Autor:
Satoru Baba, Eiichiro Araki, Takashi Yokobiki, Kei Kawamata, Keisuke Uchiyama, Takuji Yoshizuka
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-12 (2024)
Abstract As megathrust earthquakes often have source areas in offshore regions, offshore seismic observations are important. However, the detection capability and resolution of offshore earthquake locations are low owing to the small number of perman
Externí odkaz:
https://doaj.org/article/9a83258ce0e24cef96174ed411cc1e32
Autor:
Masaru Nakano, Mie Ichihara, Daisuke Suetsugu, Takao Ohminato, Shigeaki Ono, Rennie Vaiomounga, Taaniela Kula, Masanao Shinohara
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-12 (2024)
Abstract The devastation caused by the January 2022 eruption of Hunga Tonga-Hunga Ha’apai volcano (HTHH) in the Tongan archipelago reminded us of the importance of monitoring shallow-sea volcanic activity. Seismic observations are essential for suc
Externí odkaz:
https://doaj.org/article/b9ecfda4b05c45cda5024fdc1b8e06bd
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 1, Pp 78-84 (2024)
This paper proposes an improved adaptive noise-aided complete ensemble empirical mode decomposition (ICEEMDAN) method to address the issue of low signal-to-noise ratio in distributed optical fiber acoustic sensing systems. The proposed approach utili
Externí odkaz:
https://doaj.org/article/8bb77918e8da442c9e4882b86f615950