• Title/Summary/Keyword: Passive acoustic monitoring

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Preliminary study of passive acoustic monitoring of finless porpoises Neophocaena asiaeorientalis around the Southwest offshore wind farm in Korea (서남해 해상풍력 실증단지 주변에서의 수동 음향 관측을 이용한 상괭이 모니터링 가능성 연구)

  • Yoon, Young Geul;Yang, Wonjun;Choi, Jee Woong
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.6
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    • pp.537-545
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    • 2021
  • Due to the accelerated development and transformation of coastal waters by humans, damage to marine mammals is a concern. To understand how coastal development may affect marine mammals, it is essential to determine their distribution characteristics. In this study, the appearance of finless porpoises was confirmed by passive acoustic monitoring around the Southwest offshore wind farm in July, 2020. Although there were no visual observation results of finless porpoises in the research area, the clicks measured in the offshore wind farm were verified by comparing with acoustic characteristics of the clicks measured in the area with a high detection rate. During the experimental period, clicks of finless porpoises were recorded for ten consecutive days, and Clicks per Porpoise Positive Minute (CPPM) was 40.7 clicks min-1, Porpoise Positive Minutes (PPM) was 9.7 %, Encounter duration and waiting time were 18.2 min and 94.9 min respectively. This study provides information on the appearance of them in the Southwest offshore wind farm and this result may help to monitor the impact of marine mammals from wind farm operation.

Classification of bearded seals signal based on convolutional neural network (Convolutional neural network 기법을 이용한 턱수염물범 신호 판별)

  • Kim, Ji Seop;Yoon, Young Geul;Han, Dong-Gyun;La, Hyoung Sul;Choi, Jee Woong
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.2
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    • pp.235-241
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    • 2022
  • Several studies using Convolutional Neural Network (CNN) have been conducted to detect and classify the sounds of marine mammals in underwater acoustic data collected through passive acoustic monitoring. In this study, the possibility of automatic classification of bearded seal sounds was confirmed using a CNN model based on the underwater acoustic spectrogram images collected from August 2017 to August 2018 in East Siberian Sea. When only the clear seal sound was used as training dataset, overfitting due to memorization was occurred. By evaluating the entire training data by replacing some training data with data containing noise, it was confirmed that overfitting was prevented as the model was generalized more than before with accuracy (0.9743), precision (0.9783), recall (0.9520). As a result, the performance of the classification model for bearded seals signal has improved when the noise was included in the training data.

Predictive model of fatigue crack detection in thick bridge steel structures with piezoelectric wafer active sensors

  • Gresil, M.;Yu, L.;Shen, Y.;Giurgiutiu, V.
    • Smart Structures and Systems
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    • v.12 no.2
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    • pp.97-119
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    • 2013
  • This paper presents numerical and experimental results on the use of guided waves for structural health monitoring (SHM) of crack growth during a fatigue test in a thick steel plate used for civil engineering application. Numerical simulation, analytical modeling, and experimental tests are used to prove that piezoelectric wafer active sensor (PWAS) can perform active SHM using guided wave pitch-catch method and passive SHM using acoustic emission (AE). AE simulation was performed with the multi-physic FEM (MP-FEM) approach. The MP-FEM approach permits that the output variables to be expressed directly in electric terms while the two-ways electromechanical conversion is done internally in the MP-FEM formulation. The AE event was simulated as a pulse of defined duration and amplitude. The electrical signal measured at a PWAS receiver was simulated. Experimental tests were performed with PWAS transducers acting as passive receivers of AE signals. An AE source was simulated using 0.5-mm pencil lead breaks. The PWAS transducers were able to pick up AE signal with good strength. Subsequently, PWAS transducers and traditional AE transducer were applied to a 12.7-mm CT specimen subjected to accelerated fatigue testing. Active sensing in pitch catch mode on the CT specimen was applied between the PWAS transducers pairs. Damage indexes were calculated and correlated with actual crack growth. The paper finishes with conclusions and suggestions for further work.

SAW Sensor Network Design and Reflected Waves Removal for Temperature Measurement (온도 센싱을 위한 SAW 센서 네트워크 설계 및 다중경로 반사파 제거)

  • Kyung-Soon Lee;Kyung Heon Koo
    • Journal of Advanced Navigation Technology
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    • v.27 no.4
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    • pp.469-472
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    • 2023
  • If temperature management is required in factory or environmental monitoring, temperature can be measured by connecting various sensors wired or wirelessly. Surface acoustic wave sensors measure temperature using changes in acoustic waves on the sensor surface according to temperature, and are useful for wireless networks. In this paper, in order to build a wireless temperature measurement system in the 900 MHz frequency band, the temperature characteristics of the passive SAW sensor were measured, and the analysis and removal of multipath reflection wave effect inside the high temperature chamber were conducted. The resonant frequency of the SAW sensor was measured, and radio transmission/reception and multipath reflected wave removal techniques were proposed in the shielded chamber.

Emergence Characteristics of Narrow-ridged Finless Porpoise Neophocaena asiaeorientalis Using Passive Acoustic Survey in the South Sea of South Korea (음향을 이용한 남해 연안에 서식하는 상괭이(Neophocaena asiaeorientalis)의 출현 특성 연구)

  • Choi, Seulgi;Kim, Eunho;Sohn, Hawsun
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.54 no.6
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    • pp.989-999
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    • 2021
  • The sound of finless porpoises Neophocaena asiaeorientalis was recorded with an acoustic recorder to confirm their emergence in the South Sea of South Korea in February, June, and November 2020. Sea water temperature and salinity were also measured. In addition, a sighting survey was conducted to observe the behavior of the finless porpoises and the marine environment, and the clicks of the finless porpoises were recorded every day. The results showed that they always emerged in the survey area. The finless porpoises mainly foraged, whereas some played or rested. The water temperature range of areas where the finless porpoises emerged was 7.5-23.5℃. Assuming that the number of clicks corresponds to the number of finless porpoises, the finless porpoises emerged the most during spring. The emergence decreased during winter and was the lowest during autumn. The finless porpoises emerged more during the daytime than during the nighttime in all seasons, indicating a temporal difference in the usage of the survey area. This might be due to the movement of prey organisms according to regional characteristics. A long-term survey and research on habitat use and environment is needed to manage and conserve the finless porpoises.

A study on the characteristics of touch-down and passive/wireless pressure sensors using surface acoustic wave (표면탄성파를 이용한 무전원/무선 압력센서 및 Touch-down 특성에 관한 연구)

  • Park, Jin-Il;Oh, Jae-Geun;Lee, Jae-Yun;Choi, Bum-Kyoo
    • Proceedings of the KIEE Conference
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    • 2003.10a
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    • pp.39-41
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    • 2003
  • 본 논문은 TPMS(Tire Pressure Monitoring System) 개발을 목적으로 압력센서를 무전원/무선 표면탄성파 센서를 이용하여 측정할 수 있는 방법을 연구한 것이다. Touch mode 방식의 압력센서의 경우 Touch down 되었을 때 정전용량은 큰 변화를 가지며 이후 압력의 증가에 대해 선형적으로 증가한다는 것을 이론적인 계산을 통해서 확인하였다. 또한 이와 같은 특성은 표면탄성파 센서의 응답 주파수의 변화를 통해 측정이 가능하다는 이론적인 모델링을 제시하였다.

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Impact and Damage Detection Method Utilizing L-Shaped Piezoelectric Sensor Array (L-형상 압전체 센서 배열을 이용한 충격 및 손상 탐지 기법 개발)

  • Jung, Hwee-Kwon;Lee, Myung-Jun;Park, Gyuhae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.5
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    • pp.369-376
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    • 2014
  • This paper presents a method that integrates passive and active-sensing techniques for the structural health monitoring of plate-like structures. Three piezoelectric transducers are deployed in a L-shape to detect and locate an impact event by measuring and processing the acoustic emission data. The same sensor arrays are used to estimate the subsequent structural damage using guided waves. Because this method does not require a prior knowledge of the structural parameters, such as the wave velocity profile in various directions, accurate results could be achieved even on anisotropic or curved plates. A series of experiments was performed on plates, including a spar-wing structure, to demonstrate the capability of the proposed method. The performance was also compared to that of traditional approaches and the superior capability of the proposed method was experimentally demonstrated.