• Title/Summary/Keyword: 음원 탐지

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Attentional Effects of Crossmodal Spatial Display using HRTF in Target Detection Tasks (항공 목표물 탐지과제 수행에서 머리전달함수(HRTF)를 이용한 이중감각적 공간 디스플레이의 주의효과)

  • Lee, Ju-Hwan
    • Journal of Advanced Navigation Technology
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    • v.14 no.4
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    • pp.571-577
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    • 2010
  • Driving aircraft requires extremely complicated and detailed information processing. Pilots perform their tasks by selecting the information relevant to them. In this processing, spatial information presented simultaneously through crossmodal link is advantageous over the one provided in singular sensory mode. In this paper, probability to apply providing visual spatial information along with auditory information to enemy tracking system in aircraft navigation is empirically investigated. The result shows that auditory spatial information, which is virtually created through HRTF is advantageous to visual spatial information alone in attention processing. The findings suggest auditory spatial information along with visual one can be presented through crossmodal link by utilizing stereophonic sound such as HRTF. which is available in the existing simple stereo system.

Drone Sound Identification and Classification by Harmonic Line Association Based Feature Vector Extraction (Harmonic Line Association 기반 특징벡터 추출에 의한 드론 음향 식별 및 분류)

  • Jeong, HyoungChan;Lim, Wonho;He, YuJing;Chang, KyungHi
    • Journal of Advanced Navigation Technology
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    • v.20 no.6
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    • pp.604-611
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    • 2016
  • Drone, which refers to unmanned aerial vehicles (UAV), industries are improving rapidly and exceeding existing level of remote controlled aircraft models. Also, they are applying automation and cloud network technology. Recently, the ability of drones can bring serious threats to public safety such as explosives and unmanned aircraft carrying hazardous materials. On the purpose of reducing these kinds of threats, it is necessary to detect these illegal drones, using acoustic feature extraction and classifying technology. In this paper, we introduce sound feature vector extraction method by harmonic feature extraction method (HLA). Feature vector extraction method based on HLA make it possible to distinguish drone sound, extracting features of sound data. In order to assess the performance of distinguishing sounds which exists in outdoor environment, we analyzed various sounds of things and real drones, and classified sounds of drone and others as simulation of each sound source.

Analysis of Performance of Focused Beamformer Using Water Pulley Model Array (수차 모형 배열을 이용한 표적추정 (Focused) 빔형성기 성능분석)

  • 최주평;이원철
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.5
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    • pp.83-91
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    • 2001
  • This paper proposes the Focused beamforming to estimate the location of target residing near to the observation platform in the underwater environment. The Focused beamforming technique provides the location of target by the coherent summation of a series of incident spherical waveforms considering distinct propagation delay times at the sensor array. But due to the movement of the observation platform and the variation of the underwater environment, the shape of the sensor array is no longer to be linear but it becomes distorted as the platform moves. Thus the Focused beamforming should be peformed regarding to the geometric shape variation at each time. To estimate the target location, the artificial image plane comprised of cells is constructed, and the delays are calculated from each cell where the target could be proximity to sensors for the coherent summation. After the coherent combining, the beam pattern can be obtained through the Focused beamforming on the image plane. Futhermore to compensate the variation of the shape of the sensor array, the paper utilizes the Nth-order polynomial approximation to estimate the shape of the sensor array obeying the water pulley modeling. Simulation results show the performance of the Focused beamforming for different frequency bands of the radiated signal.

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Bistatic reverberation simulation using intersection of scattering cross section between sound source and receiver (음원과 수신기 사이에 교차 산란단면적을 이용한 양상태 잔향음 모의)

  • Oh, Raegeun;Kim, Sunhyo;Son, Su-Uk;Choi, Jee Woong;Park, Joung-Soo;Shin, Changhong;Ahn, Myonghwan;Lee, Bum Jik
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.1
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    • pp.12-22
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    • 2017
  • It is important to predict accurately reverberation level, which is a limiting factor in underwater target detection. Recently, the studies have been expanded from monostatic sonar to bistatic sonar in which source and receivers are separated. To simulate the bistatic reverberation level, the computation processes for propagation, scattering strength, and scattering cross section are different from those in monostatic case and more complex computation processes are required. Although there have been many researches for bistatic reverberation, few studies have assessed the bistatic scattering cross section which is a key factor in simulate reverberation level. In this paper, a new method to estimate the bistatic scattering cross section is suggested, which uses the area of intersection between two circles. Finally, the reverberation levels simulated with the scattering cross section estimated using the method suggested in this paper are compared with those estimated using the methods previously suggested and those measured from an acoustic measurements conducted in May 2013.

Investigation of Sound Pressure Detection of Fiber Optic Sensor in Transformer Oil According to TLS and CW Laser Source (TLS와 CW 광원에 따른 트랜스포머 오일 내에서 광섬유 센서의 음압 감지 특성 연구)

  • Lee, Jong-Kil
    • The Journal of the Acoustical Society of Korea
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    • v.30 no.1
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    • pp.33-41
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    • 2011
  • To substitute TLS in the hybrid system which is combined with Sagnac interferometer and fiber bragg grating (FBG) it is necessary to investigate how the laser source (TLS and CW) and sensor material variate the response of fiber optic sensor. Two different hollow cylinder type mandrel materials are proposed which are PTFE and PTFE+carbon and 18 m optical fiber is wounded at the mandrel surface. CW laser source experiments had been done in the oil tank which is filled with transformer oil in the 1 kHz~20 kHz frequency range. Also Sagnac interferometer fiber optic sensor is combined with FBG called hybrid system and TLS used as a light source. Based on the experimental results PTFE sensor showed more higher magnitude of detection signal rather than carbon sensor and this result is agreement with the McMahon's theoretical results. Phase variation is inversely proportional to the elastic modulus of the mandrel material. In PTFE fiber sensor, tunable laser source showed more higher performance rather than CW case. Therefore, TLS fiber optic sensor can be applied to the hybrid system which is combined with Sagnac and FBG.

Seismic Data Processing For Gas Hydrate using Geobit (Geobit을 이용한 가스 하이드레이트 탐사자료 처리)

  • Jang Seong-Hyung;Suh Sang-Yong;Chung Bu-Heung;Ryu Byung-Jae
    • Geophysics and Geophysical Exploration
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    • v.2 no.4
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    • pp.184-190
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    • 1999
  • A study of gas hydrate is a worldwide popular interesting subject as a potential energy source. A seismic survey for gas hydrate have performed over the East sea by the KIGAM since 1997. General indicators of natural submarine gas hydrates in seismic data is commonly inferred from the BSR (Bottom Simulating Reflection) that occurred parallel to the see floor, amplitude decrease at the top of the BSR, amplitude Blanking at the bottom of the BSR, decrease of the interval velocity, and the reflection phase reversal at the BSR. So the seismic data processing for detecting gas hydrates indicators is required the true amplitude recovery processing, a accurate velocity analysis and the AVO (Amplitude Variation with Offset) analysis. In this paper, we had processed the field data to detect the gas hydrate indicators, which had been acquired over the East sea in 1998. Applied processing modules are spherical divergence, band pass filtering, CDP sorting and accurate velocity analysis. The AVO analysis was excluded, since this field data had too short offset to apply the AVO analysis. The accurate velocity analysis was performed by XVA (X-window based Velocity Analysis). This is the method which calculate the velocity spectrum by iterative and interactive. With XVA, we could determine accurate stacking velocity. Geobit 2.9.5 developed by the KIGAM was used for processing data. Processing results say that the BSR occurred parallel to the sea floor were shown at $367\~477m$ depths (two way travel time about 1800 ms) from the sea floor through shot point 1650-1900, the interval velocity decrease around BSR and the reflection phase reversal corresponding to the reflection at the sea floor.

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