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Assessment of Arrow-of-Time Metrics for the Characterization of Underwater Explosions
- Source :
- Sensors (Basel, Switzerland), Sensors, Volume 21, Issue 17, Sensors, Vol 21, Iss 5952, p 5952 (2021)
- Publication Year :
- 2021
-
Abstract
- Anthropogenic impulsive sound sources with high intensity are a threat to marine life and it is crucial to keep them under control to preserve the biodiversity of marine ecosystems. Underwater explosions are one of the representatives of these impulsive sound sources, and existing detection techniques are generally based on monitoring the pressure level as well as some frequency-related features. In this paper, we propose a complementary approach to the underwater explosion detection problem through assessing the arrow of time. The arrow of time of the pressure waves coming from underwater explosions conveys information about the complex characteristics of the nonlinear physical processes taking place as a consequence of the explosion to some extent. We present a thorough review of the characterization of arrows of time in time-series, and then provide specific details regarding their applications in passive acoustic monitoring. Visibility graph-based metrics, specifically the direct horizontal visibility graph of the instantaneous phase, have the best performance when assessing the arrow of time in real explosions compared to similar acoustic events of different kinds. The proposed technique has been validated in both simulations and real underwater explosions.
- Subjects :
- anthropogenic noise characterization
Passive acoustic monitoring
Computer science
Real-time computing
Explosions
arrow of time
TP1-1185
Biochemistry
Instantaneous phase
Article
Analytical Chemistry
passive acoustic monitoring
Arrow of time
underwater explosions
Electrical and Electronic Engineering
Underwater
Instrumentation
Underwater explosion
Ecosystem
Chemical technology
Visibility graph
Acoustics
Atomic and Molecular Physics, and Optics
Characterization (materials science)
impulsive event detection
Nonlinear system
Benchmarking
Sound
surveillance
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 21
- Issue :
- 17
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....8f45e4495f34fc200fa5ee9bd0174be9