The Commission for Conservation of Antarctic Marine Living Resources (CCAMLR) is utilized to manage krill resources using acoustic data collection and a scientific observer program operating on the fishing boats. However, the acoustic data were contained seriously noise, example of background, spike, and intermittent noise, due to purpose of fish boats. In this study, the noise removal techniques were confirmed the potential of the acoustic data analysis. Acoustic system and frequency used in the survey were commercial echosounder (ES70, SIMRAD) and 200 kHz split beam transducer. Acoustic data were analyzed using Echoview software (Myriax), and general data analysis and new noise removal method was used. Although a variety of noise, most of the noises have been removed using the noise removal processing. We confirmed the possibility of analyzing the acoustic data obtained from fish boats. The results will be useful for analysis of the acoustic data acquired from krill fishing boats.

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° to 24°. 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.

The aim of this study is to find out the behavior and acoustic backscattering of the large jellyfish Nemopliema nomurai using hydroacoustics in situ. N. nomurai was distributed at depths ranging from 10~15 m during the day. Regarding the behavior of N. nomurai, there was no significant change in depth, and 3D tortuosity was not high. The vertical direction was ±10° from the horizontal, and moving speed was 0.9~1.5 m s–1.With regard to hydro–acoustical characteristics, the mean TS of N. nomurai ranged from –69.6~–56.0 dB at 38 kHz and –69.4~–54.5 dB at 120 kHz. TS variation (Max TS–Min TS) at 38 and 120 kHz was 0~10.2 dB and 0.2~16.0 dB, respectively. Mean TS and TS variation (Max TS–Min TS) of N. nomurai were higher at 120 kHz than at 38 kHz. The results showed that the use of hydroacoustics was effective in estimating the distribution depth, behavior, and acoustic characteristics of the target.

Visual census and hydro-acoustic survey was carried out at Ulju small scale marine ranching area (MRA) to estimate demersal fish aggregations on September and November 2013. In this hydro-acoustic survey, the authors combined an image sonar with a scientific echo sounder to monitor an underwater situation and compare two acoustic data. Consequently, visual census survey was useful to estimate fish species composition for hydro-acoustic survey, because it is easy to identify aggregated fish species and overcome limits on a fishing depth and ability of an conventional fishing gear like a bottom gill-net or a fish trap at marine ranching area. Mean fish density was estimated as 0.757 g/m2 on September and 0.219 g/m2 on November and Fish abundance was finally calculated as 1.51ton (coefficient of variation, CV=13.1%) on September and 0.44ton (CV=47.7%) on November, respectively. Hydro-acoustic survey combined with the image sonar was useful to monitor fish aggregations and estimate fish stocks around artificial reefs at shallow coastal MRA. We were able to easily identify the underwater structures like an artificial reef and a fishing rope as well as fish aggregations from image sonar data. Therefore, the method was effective to separate unwanted echo signals in acoustic data of scientific echo sounder.

ADCPs have been widely used to estimate the dynamic characteristics and biomass of sound scattering layers (SSLs), and swimming speed of fish schools for analyzing SSLs spatial distribution and/or various behavior patterns. This result showed that the verification of the mean volume backscattering strength (MVBS or averaged SV, dB) acquired by the ADCP would be necessary for a quantitative analysis on the spatial distribution and the biomass estimation of the SSLs or fish school when ADCP is used for estimating their biomass. In addition, the calibrated sphere method was used to verify values of each MVBS obtained from 4 beams of ADCP (153.6 kHz) on the base of 3 frequencies (38, 120, 200 kHz) of Scientific echo sounder's split beam system. Then, the measured SV values were compared and analyzed in its Target Strength (TS, dB) values estimated by a theoretical acoustic scattering model.

Five species of the subfamily Cicadinae are found in urban areas at the center of the Korean peninsula, including Cryptotympana atrata, Hyalessa fuscata, Meimuna mongolica, Meimuna opalifera and Graptopsaltria nigrofuscata. Out of those species, the densities of C. atrata and H. fuscata are generally high in the urban area. I hypothesized that there is a vigorous acoustic interaction where two species are abundant. We tested this hypothesis by conducting the 24-h recording experiments in four localities: Gwacheon(GC), Jamsil(JS), Ewha University(EU) and Yangpyeong(YP). Based on the preliminary enumeration surveys of exuviae, GC and JS were designated as high density localities and EU and JS were as low density localities. The results of 24-h recordings and abiotic factor based on the multinomial logistic regression showed that C. atrata and H. fuscata were negatively correlated in high density area GC and JS. In JS and EU, the density of H. fuscata is close to each other. However, the probability of chorusing in JS is significantly lower than EU. This might be due to acoustic competition between two species. Moreover, we confirmed that the choruses of males of C. atrata produced loud choruses usually during the day when temperature high and males of H. fuscata produced calling song throughout the day but peaked in the morning and night. Consequently, multi-species cicada in different temporal pattern probably cannot be explained by only acoustic interaction but the combination of both abiotic and biotic factors probably constrain multi-species cicada to call together during the limited time windows.

We aimed to assess the behavior characteristics of fish on an artificial reef using hydroacoustic techniques. The acoustical survey was conducted with a 200 kHz dual beam transducer while fishing on the stone combination reef of Uljin. A school of fish were detected on the artificial reef before sunset and floated on the artificial reef at 30 minutes after sunset. The density (Nautical Area Scattering Coefficient, NASC) of fish that floated on the artificial reef after sunset was about 600 m2/nmi2; similar observations (about 50 m2/nmi2 or less) were noted after 19:00 hours. Fish caught by fishing on the artificial reef were Sebastes schlegeli, Hexagrammos otakii, Sebastes thompsoni, and Conger myriaster. Resultantly, we demonstrated that hydroacoustic techniques are useful for detecting behavior characteristics of fish in the artificial reef. Such results can be used for basic data to estimate the install effect of the artificial reefs.

To estimate weld quality of the resistance spot-welding, the acoustic emission features are investigated from the total acoustic emission signal at the single-spot weld. Typically, the resistance spot welding process consists of several stages: set-down of the electrodes, squeeze, current flow, forging, hold time, and lift-off. Various types of acoustic emission response corresponding to each stage can be separately analyzed by using back-propagation neural network classifier and wavelet transform technique. The presented machine learning results provide a validation for using back-propagation neural network and wavelet transform technique as a valuable insights into the resistance spot-welding process. Especially, a wavelet transform technique is demonstrated and the plots are very powerful in the recognition of the acoustic emission features

Morphological and positional characteristics of anchovy aggregations, confirmed by trawling, were examined in two locations of the southern part of theWest Sea (T1) and the western side of South Sea (T11) of South Korea. Morphological characteristics (mean length, height and area) of the anchovy aggregations at T1 were smaller than those at T11, however the positional characteristics (distributional depth and bottom depth) of the aggregations at T1 were larger than those at T11. Diverse dataset such as the ship’s cruise track, the cruse map, and interpolated three-dimensional-like water temperature were visualized in multiple dimensions. For a comprehensive understanding of the anchovy aggregations within their surrounding circumstances, the interpolated water temperature transferred to the location of anchovy aggregations at both stations were visualized based on geospatial information. Using quantitative investigation, the overall range of change in water temperature and salinity of anchovy aggregations at stations was considerably small. However, the water temperature and salinity of anchovy aggregations at T11 were somewhat higher than those at T1.

In automobiles, the main source contributing to the resulting car interior noise is the combustion engine, including gearbox, driveline, intake and exhaust system, wind, tire. Interior noise of a vehicle is usually caused by the vibration of the vehicle’s body transmitted from engine und driveline through the mounting system. The vibration and sound radiation is extremely complex. The final result of interest is in any case the sound pressure in the driver’s ear canals. The transferpath are separated into structure-borne and air-borne path. In oder to estimate the contribution of these components to car interior noise, the total sound pressure in car interior is estimated by using Transferpathanalysis method. In dies paper, experimental simulation has been carried out to analyze transfer characteristics for car interior noise transferred from sound source of the engine and driveline. The results from this study could be applicable for optimal design of noise reduction system in car.

Five species of the subfamily Cicadinae are typically found in urban areas of central Korea, including Cryptotympana atrata, Graptopsaltria nigrofuscata, Hyalessa fuscata, Meimuna mongolica, and Meimuna opalifera. These species form multi-species choruses. We hypothesized that there is a negative relationship between dominance of choruses among cicada species. We tested this hypothesis by conducting the 24-h recording experiments in four localities: Gawcheon, Jamsil, Ewha University, and Yangpyeong. Based on the enumeration surveys of exuviae, the results of 24-h recordings showed that choruses of C. atrata and H. fuscata were negatively correlated with other in Jamsil and Ewha University, but were positively correlated with other in Gawcheon and Yangpyeong. Thus, it seemed unclear cicada species competed with each other negatively over. Males of C. atrata produced calling songs usually during the day at temperatures typically higher than 28 C°. However, males of H. fuscata produced calling songs throughout the day at a wide range of temperatures. As a result, the chorus of C. atrata dominated during the day, but that of H. fuscata in urban areas where the densities of C. atrata were sufficiently high.

음향 표적강도는 잠수함의 생존성을 보장하기 위한 중요한 설계 고려 요소이다. 잠수함이 대형화 됨에 따라 음향 표적강도 저감을 위한 대표적인 방법으로 알베리히 무반향 코팅재가 널리 사용되고 있다. 본 논문에서는 규칙적으로 배열된 알베리히 무반향 코팅재 단위 셀에 대해 유한요소법을 이용하여 음압 투과반사 계수를 해석하였다. 해석 결과는 문헌의 실험결과와 비교 검증하였다. 또한, 잠수함의 음향 표적강도 계산시 해석된 코팅재의 입력 임피던스를 이용하여 반사계수를 고려하였다. 마지막으로 알베리히 무반향 코팅재 적용에 따른 음향 표적강도 감소 효과(Case 1: 10dB, Case 2: 6dB)를 확인하였다.

Hydro-acoustic surveys with scientific echo sounder were carried out to estimate the total density and distribution of the juvenile cod in Jinhae bay, Korea. The surveys were conducted 4 times from May to June using 2 frequency method (38kHz and 120kHz) and beam trawl were used to investigate the species composition. Also the catch amounts of juvenile cod were compared with the cod density estimated by the hydro-acoustic method. It was confirmed that the juvenile cod was stayed in Jinhae bay in early June and There was the relationship between catch of juvenile cod and the estimated density by hydro-acoustic survey. The number of juvenile cod was consequently about 365,000 fish (CV 12.9%) in May and 113,000 fish (CV 9.2%) in May based on the hydro-acoustic data.

In this study, carbon/epoxy composite DCB(double cantilever beam) specimens based on K-means clustering and wavelet transform analyses are presented. For the fracture Mode I, the fiber orientation θ = [0 ]24 and θ = [±45]12 both shown up stable crack growth in DCB testing. For the fiber orientation θ = [0 ]24 , the continuous type AE signal showed at central frequency 130～270kHz, which means that matrix micro cracking was occurred. The Burst type AE signal was occurred at central frequency 200～300kHz due to fiber bridging and fiber breaking. Other burst type AE signals were occurred at central frequency 130～180kHz with very high amplitude due to fiber bridging. For the fiber orientation θ = [±45]12 , the burst type signal showed at central frequency 220～300kHz, which means that fiber breaking was occurred. Mixed type of burst and continuous signals were captured at central frequency 250～480kHz due to fiber friction.

본 연구는 음성 인식기에서 일반적으로 사용되는 음향적 특징인 MFCC, LPC, 에너지, 피치 관련 파라미터들을 이용하여 자연스러운 음성의 정서를 범주 및 차원으로 얼마나 잘 인식할 수 있는지 살펴보았다. 자연스러운 정서 반응 데이터를 얻기 위해 선행 연구에서 이미 타당도와 효과성이 밝혀진 정서 유발 자극을 사용하였고, 110명의 대학생들에게 7가지 정서 유발 자극을 제시한 후 유발된 음성 반응을 녹음하여 분석에 사용하였다. 각 음성 데이터에서 추출한 파라미터들을 독립변인으로 하여 선형 판별 분석(LDA)으로 7가지 정서 범주를 분류하였고, 범주 분류의 한계를 극복하기 위해 단계별 다중회귀(stepwise multiple regression) 모형을 도출하여 4가지 정서 차원(valence, arousal, intensity, potency)을 가장 잘 예측하는 음성 특징 파라미터를 산출하였다. 7가지 정서 범주 판별율은 평균 62.7%이었고, 4 차원 예측 회귀모형들도 p<.001수준에서 통계적으로 유의하였다. 결론적으로, 본 연구 결과는 자연스러운 감정의 음성 반응을 분류하는데 유용한 파라미터들을 선정하여 정서의 범주와 차원적 접근으로 정서 분류 가능성을 보였으며 논의에 본 연구의 개선방향에 대해 기술하였다.

어류는 수체 내에 서식하기 때문에 시각적으로 행동이 나 이동을 연구하는 데에는 어려움이 있다. 원격측정방식 중 하나인 수중음향측정 방식(acoustic telemetry)은 수 생 생물 특히, 어류에 효과적으로 적용되는 방식으로 이 동경로 및 거리, 패턴의 분석에 효과적이다. 본 연구에서 는 국내에 서식하는 잉어과 어류인 눈불개를 대상으로 하 여 수중음향측정방식을 적용, 서식처범위(home range)와 이동패턴에 대한 모니터링을 시행하였다. 연구는 금강 하 구둑부터 백제보까지의 약 70 km 구간을 대상으로 총 9 개체의 눈불개를 하구둑(Sc1-3)과 백제보(Sc4-9)에서 각 각 방류하여 모니터링을 진행하였다. 하구둑에서 방류한 개체들은 방류지점으로부터 12.7 km 상류지점까지를 서 식처 범위로 하여 이동하는 패턴을 나타냈고, 백제보에서 방류한 개체들은 가장 하류까지 이동한 Sc6 (방류지점에 서 직선거리로 53.4 km 하류까지 이동)을 제외하고 대부 분 방류지점에서 7.2 km 하류 지역을 서식처 범위로 이용 하고 있었다. 상대적으로 크기가 작은 Sc7, 8, 9 개체는 큰 이동을 보이지 않았다. 눈불개의 총 이동거리는 개체의 체장의 크기와 관련이 있는 것으로 나타났고(rs=0.715, p=0.03), 또한 이동 개체와 이동하지 않은 개체 비교 시 이동 개체들의 체장이 통계적으로 유의하게 큰 것으로 확 인되었다(Mann-Whitney U test, p=0.024). 따라서 눈불 개의 이동 범위는 크기와 관련이 있고, 체장이 커질수록 총 이동거리가 늘어나는 것으로 나타났다. 비록 모니터링 개체수가 많지 않았지만 대상종의 이동과 관련된 의미 있 는 자료들의 수집이 가능하였으며, 연구방식이 전반적으 로 국내의 다양한 어류에 안정적으로 적용이 가능하기 때 문에 향후 어류의 이동을 모니터링을 하는데 있어서 활용 가치가 높을 것으로 판단되었다.

수중음향측정 방식은 어류이동에 대한 연속적인 자료 를 확보하기 위해 사용되는 방식으로, 대형하천이나 하구 에서 이동하는 어류의 이동에 용이하게 활용된다. 낙동강 은 남한에서 가장 긴 하천으로 연속적인 보의 설치로 인 하여 하천의 변형이 이루어지고 있다. 본 연구에서는 국 내에 서식하는 잉어과 어류인 강준치를 대상으로 하여 수중음향측정방식을 적용, 서식처범위(home range)와 이 동거리, 이동패턴에 대한 모니터링을 시행하였다. 연구는 낙동강 하구둑부터 창녕함안보까지의 약 80 km 구간을 대상으로 총 14개체의 강준치를 3지점에 방류하여 모니 터링을 수행하였다. 하구둑(N02)에서 방류한 8개체들은 방류지점으로부터 15.9 km 상류지점까지를 서식처 범위로 하여 이동하였고, 삼랑진(N07)에서 방류한 4개체들은 신 호가 사라진 E12개체를 제외하고 하류로 이동하였으며, 9.7 km 구간을 서식처 범위로 활용하였다. 2개체가 방류된 창녕함안보(N10)에는 모두가 하류로 이동 하였으며, 이 중 E14개체는 32일 동안 가장 긴 누적감지거리(36.7 km) 를 이동하였다. 강준치의 체장과 누적감지거리, 서식처 범 위와는 상관성이 없는 것으로 확인되었다(Spearman rank correlation, p¤0.05). 비록 본 연구 방식이 담수어류의 이동에 유용하지만 좀 더 자세한 결과를 확보하기 위해 서는 수신기의 수와 적용하는 발신기의 수를 증가시킬 필요성이 있다.