• Title/Summary/Keyword: Acoustic estimates

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Sensitivity Analysis of Long Baseline System with Three Transponders (세 개의 트랜스폰더로 이루어진 장기선 위치추적장치의 민감도 해석)

  • Kim, Sea-Moon;Lee, Pan-Mook;Lee, Chong-Moo;Lim, Yong-Kon
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.05a
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    • pp.27-31
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    • 2003
  • Underwater acoustic navigation systems are classified into three systems: ultra-short baseline (USBL), short baseline (SBL), and long baseline (LBL). Because the USBL system estimates the angle of a submersible, the estimation error becomes large if the submersible is far from the USBL transducer array mounted under a support vessel. SBL and LBL systems estimate submersible's location more accurately because they have wider distribution of measuring sensors. Especially LBL systems are widely used as a navigation system for deep ocean applications. Although it is most accurate system it still has estimation errors because of noise, measurement error, refraction and multi-path of acoustic signal, or wrong information of the distributed transponders. In this paper the estimation error of the LBL system are analyzed from a point of sensitivity. It is assumed that the error exists only in the distance between a submersible and the transponders. For this purpose sensitivity of the estimated position with respect to relative distances between them is analyzed. The result says that estimation error is small if the submersible is close to transponders but not near the ocean bottom.

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Target Strength of Anchovy Engraulis japonicaus by Theoretical Acoustic Scattering Model (음향산란이론모델을 이용한 멸치(Engraulis japonicus)의 음향산란강도 추정)

  • Geunchnag Park;Wooseok Oh;Yoo-won Lee;Hyoung Been Lee;Kyounghoon Lee
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.57 no.3
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    • pp.302-309
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    • 2024
  • This study estimates the target strength of anchovy Engraulis japonicus required for studying their distribution and density using acoustics and evaluates the acoustic scattering characteristics of anchovies by frequency using the Kirchoff ray mode (KRM) model. The experiment was conducted on 30 anchovies with 4.7-21.5 cm total length. The maximum TScm (Simming angle, 9.1°; standard deviation, ± 13.1°) according to total length was -66.9, -65.2, -64.4, and -63.4 dB at 38, 70, 120, and 200 kHz, respectively. The average TScm (Simming angle: 9.1°, standard deviation: ± 13.1°) according to total length was -68.9, -68.8, -69.6, and -70.0 dB at 38, 70, 120, and 200 kHz, respectively. The results of this study provide an important basis for future studies that use acoustics to estimate the target strength of anchovies.

Comparison of Geostatistic and Acoustic Estimates of Anchovy Biomass around the Tongyeong Inshore Area (통영 주변 해역에서 멸치 어군에 대한 지리 통계학적 및 음향학적 분포 밀도 추정치의 비교)

  • Oh, Taeg-Yun;Kim, Joo-Il;Seo, Young-Il;Lee, Sun-Kil;Hwang, Doo-Jin;Kim, Eun-Ho;Yoon, Eun-A;Jeong, Sun-Beom
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.42 no.3
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    • pp.290-296
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    • 2009
  • Acoustic technologies are commonly used to estimate biomass and distribution of fisheries resources in coastal areas and the open ocean. The pelagic species of Engraulis japonica, Scomber japonicus and Sardinops melanosticta spawn migrate to the southern part of the Sea of Korea and capture of these three species comprise 50% of the total abundance in Korean waters. Since 1970, anchovy landings have increased to 0.2 million tons in 1990, 0.27 million tons in 2001, and 0.25 million tons in 2003. Acoustic surveys were conducted on 24-26, May and 20-21, June 2005 around the Tongyeong, Geojae, and Namhae anchovy fishing ground using a dual beam echo sounder (DT-5000, 200 kHz Biosonics). Using this approach, information was obtained on the distribution (depth and position) of zooplankton, and adult and juvenile anchovy. We calculated and compared anchovy biomass using simple summation and geostatistic methods to assess the advantages and constraints of the two techniques.

Ex situ acoustic target strength by tilt angle and pulsation of moon jellyfish (Aurelia aurita) using frequency 70 kHz (주파수 70 kHz를 이용한 보름달물해파리의 유영 자세각과 박동에 따른 초음파산란강도)

  • YOON, Eun-A;HWANG, Doo-Jin;HIROSE, Miyuki;SAWADA, Kouichi;FUKUDA, Yoshiaki;MUKAI, Tohru
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.3
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    • pp.295-301
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    • 2015
  • Target strength (TS) information is an important parameter that estimates the detection, distribution, and abundance of Aurelia aurita. In order to investigate the biological TS of jellyfish, some factors such as size (bell diameter), tilt angle, pulsation, and symbion should be known. In the ex situ TS measurements, the tilt angles and pulsation from synchronized swimming behavior of four live A. aurita (bell diameters in the air: 54.2 ~ 94.2 mm) were measured with the acoustic data at 70 kHz. The reduced target strength (RTS) of A. aurita was found to change ranged from 13.4 ~ 16.5 dB according to the incidence angles from $-30^{\circ}$ to $24^{\circ}$. When the change rate of bell diameter in the water was 0.2, the TS value showed a 7.2 dB change. These results could be utilized as an important data to understand the acoustic characteristic scattering of A. aurita.

CWT-Based Method for Identifying the Location of the Impact Source in Buried Pipes (연속웨이브렛 변환을 이용한 충격음 위치 규명)

  • Kim, Eui-Youl;Kim, Min-Su;Lee, Sang-Kwon;Koh, Jae-Pil
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.11
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    • pp.1555-1565
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    • 2010
  • This paper presents a new method for indentifying the location of impact source in a buried duct. In a gas pipeline, the problem of leakage occurs due to the mechanical load exerted by construction equipment. Such leakage can cause catastrophic disasters in gas supply industries. Generally, the cross-correlation method has been used for indentifying the location of impact source in a pipeline. Since this method involves the use of the dispersive acoustic wave, it derives an amount of error in process of estimating the time delay between acoustic sensors. The object of this paper is to estimate the time delay in the arrival of the direct wave by using the wavelet transform instead of the dispersive wave. The wavelet transform based method gives more accurate estimates of the impact location than the cross-correlation method does. This method is successfully used to identify the location of impact force in an actual buried gas duct.

A study on frequency gain control of frequency shift keying signals using the preamble error rate for underwater acoustic communications (수중 음향 통신에서 주파수 편이 변조 신호의 프리엠블 오류율을 이용한 주파수 이득 조절 연구)

  • Jeong, Hyun-Woo;Jung, Ji-Won;Kim, Wan-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.2
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    • pp.218-226
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    • 2022
  • The main characteristics of the underwater acoustic channel have varying multipath and fast fading. Especially, Frequency Shift Keying (FSK) signals with multiple frequency bands caused loss of information bits allocated on the specific frequencies due to selective fading phenomenon. Therefore, this paper proposes frequency gain control algorithm based on preamble error rates. The proposed algorithm estimates optimal gain value in the range of preamble error rate with less than 10 % for specific faded frequency. By employing turbo equalized FSK signals with rate of 1/3, the experiment was conducted on a lake in Munkyeong city with distance of 300 m to 500 m. The result confirms that packets are decoded successfully by applying proposed algorithm as increasing number of iterations.

Acoustic Estimate of the Krill (Euphausia superba) Density between South Shetland Islands and South Orkney Islands, Antarctica, During 2002/2003 Austral Summer (음향 조사에 의한 2002/2003 하계 시기의 남극 남쉐틀랜드 군도와 남오크니섬 사이의 크릴 밀도)

  • Kang, Don-Hyung;Shin, Hyoung-Chul;Lee, Yoon-Ho;Kim, Yong-Sin;Kim, Su-Am
    • Ocean and Polar Research
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    • v.27 no.1
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    • pp.75-86
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    • 2005
  • Acoustic survey for density and biomass estimate of Antarctic krill, Euphausia superba, was conducted in the large area between South Shetland Islands and South Orkney Islands, during November 30-December 30, 2002. Considering oceanographic and geographic properties, the study area was divided into six sub-regions. Acoustic system and frequency used in the survey were quantitative echo sounder (Simrad Ek 500) and 38, 120-kHz split beam transducers. In order to discriminate krill aggregations in all acoustic signal, difference of mean volume backscattering strength $({\Delta}MVBS)$ method of the two frequencies was introduced. Averaged krill density for the overall surveyed area was $23.5g/m^2$, and spatially averaged estimates of krill density were $44.9g/m^2$ (north of the South Shetland Islands), $30.3g/m^2$ (Bransfield Strait), $11.3g/m^2$ (near the Elephant Island), $13.6g/m^2$ (north of the Elephant Island), $18.1g/m^2$(between Elephant Island and South Orkney Islands) and $21.7g/m^2$(northwest of the South Orkney Islands) at each sub-area. In the two sub-regions with surveyed area, estimated krill biomass in the north of the Elephant Island was 0.315 million tones with a CV of 18.35% $(6,766mile^2)$, and between Elephant Island and South Orkey Islands was 1.26 million tones with a CV of 9.45% $(20,299mile^2)$. As a whole, the krill density in the early summer season was low level, comparing with that of January-February. This suggested that major krill swarms in the around South Shetland Islands were reached in the mid-summer seasons from western part of the Antarctic Peninsula, and the low krill density also affects the density variation of the krill between Elephant Island and South Orkney Islands.

Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition

  • Jang, Gil-Jin;Park, Jeong-Sik;Kim, Sang-Hun
    • The Journal of the Acoustical Society of Korea
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    • v.31 no.3
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    • pp.179-187
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    • 2012
  • This paper presents a novel method for estimating reliable noise spectral magnitude for acoustic background noise suppression where only a single microphone recording is available. The proposed method finds noise estimates from spectral magnitudes measured at line spectral frequencies (LSFs), under the observation that adjacent LSFs are near the peak frequencies and isolated LSFs are close to the relatively flattened valleys of LPC spectra. The parameters used in the proposed method are LPC coefficients, their corresponding LSFs, and the gain of LPC residual signals, so it suits well to LPC-based speech coders.

Orbital Quantum Bit in Si Quantum Dots

  • Ahn, D.;Oh, J.H.;Hwnag, S.W.
    • Progress in Superconductivity
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    • v.8 no.1
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    • pp.16-21
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    • 2006
  • In this paper, current status of experimental and theoretical work on quantum bits based on the semiconductor quantum dots in the University of Seoul will be presented. A new proposal utilizing the multi-valley quantum state transitions in a Si quantum dot as a possible candidate for a quantum bit with a long decoherence time will be also given. Qubits are the multi-valley symmetric and anti-symmetric orbitals. Evolution of these orbitals is controlled by an external electric field, which turns on and off the inter-valley interactions. Initialization is achieved by turning on the inter-valley Hamiltonian to let the system settle down to the symmetric orbital state. Estimates of the decoherence time is made for the longitudinal acoustic phonon process.

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Music Emotion Classification Based On Three-Level Structure (3 레벨 구조 기반의 음악 무드분류)

  • Kim, Hyoung-Gook;Jeong, Jin-Guk
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.2E
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    • pp.56-62
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    • 2007
  • This paper presents the automatic music emotion classification on acoustic data. A three-level structure is developed. The low-level extracts the timbre and rhythm features. The middle-level estimates the indication functions that represent the emotion probability of a single analysis unit. The high-level predicts the emotion result based on the indication function values. Experiments are carried out on 695 homogeneous music pieces labeled with four emotions, including pleasant, calm, sad, and excited. Three machine learning methods, GMM, MLP, and SVM, are compared on the high-level. The best result of 90.16% is obtained by MLP method.