• Title/Summary/Keyword: Acoustic source

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Speech Quality Estimation Algorithm using a Harmonic Modeling of Reverberant Signals (반향 음성 신호의 하모닉 모델링을 이용한 음질 예측 알고리즘)

  • Yang, Jae-Mo;Kang, Hong-Goo
    • Journal of Broadcast Engineering
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    • v.18 no.6
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    • pp.919-926
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    • 2013
  • The acoustic signal from a distance sound source in an enclosed space often produces reverberant sound that varies depending on room impulse response. The estimation of the level of reverberation or the quality of the observed signal is important because it provides valuable information on the condition of system operating environment. It is also useful for designing a dereverberation system. This paper proposes a speech quality estimation method based on the harmonicity of received signal, a unique characteristic of voiced speech. At first, we show that the harmonic signal modeling to a reverberant signal is reasonable. Then, the ratio between the harmonically modeled signal and the estimated non-harmonic signal is used as a measure of standard room acoustical parameter, which is related to speech clarity. Experimental results show that the proposed method successfully estimates speech quality when the reverberation time varies from 0.2s to 1.0s. Finally, we confirm the superiority of the proposed method in both background noise and reverberant environments.

Hand-held Multimedia Device Identification Based on Audio Source (음원을 이용한 멀티미디어 휴대용 단말장치 판별)

  • Lee, Myung Hwan;Jang, Tae Ung;Moon, Chang Bae;Kim, Byeong Man;Oh, Duk-Hwan
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.2
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    • pp.73-83
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    • 2014
  • Thanks to the development of diverse audio editing Technology, audio file can be easily revised. As a result, diverse social problems like forgery may be caused. Digital forensic technology is actively studied to solve these problems. In this paper, a hand-held device identification method, an area of digital forensic technology is proposed. It uses the noise features of devices caused by the design and the integrated circuit of each device but cannot be identified by the audience. Wiener filter is used to get the noise sounds of devices and their acoustic features are extracted via MIRtoolbox and then they are trained by multi-layer neural network. To evaluate the proposed method, we use 5-fold cross-validation for the recorded data collected from 6 mobile devices. The experiments show the performance 99.9%. We also perform some experiments to observe the noise features of mobile devices are still useful after the data are uploaded to UCC. The experiments show the performance of 99.8% for UCC data.

An Experimental Study on Flame Structure and Combustion Instability Characteristics in Model Gas Turbine Combustor (모형 가스터빈 연소기에서 화염구조와 연소불안정 특성에 대한 실험적 연구)

  • Park, Sung-Soon;Kim, Min-Ki;Yoon, Ji-Su;Yoon, Young-Bin
    • Journal of the Korean Society of Propulsion Engineers
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    • v.15 no.4
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    • pp.26-34
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    • 2011
  • The present work addresses structural characteristics of natural gas flames in a lean premixed swirl-stabilized combustor with an attention focused on the effect of the formation of recirculation zones on the combustion instability. It is known that the recirculation zone plays an important role in stabilizing a turbulent, premixed natural gas flames by providing a source of heat or radicals to the incoming premixed fuel and air. To improve our understanding of the role of recirculation zones, the flame structure was investigated for various mixture velocities, equivalence ratios and swirl numbers. The optically accessible combustor allowed for the application of laser diagnostics, and Particle Image Velocimetry(PIV) measurements was used to characterize the flame structure under both cold flow conditions and hot flow conditions. Dynamic pressures were also measured to investigate characteristics of combustion at the same time. The results indicates that the formation of recirculation zone is strongly related to the occurrence of thermo-acoustic instabilities.

Numerical Analysis of Rail Noise Regarding Surface Impedance of Ground by Using Wavenumber Domain Finite and Boundary Elements (지면 임피던스를 고려한 레일 방사 소음의 파수영역 유한요소/경계요소 해석)

  • Ryue, Jungsoo;Jang, Seungho
    • Journal of the Korean Society for Railway
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    • v.18 no.4
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    • pp.289-300
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    • 2015
  • An important source of noise from railways is rolling noise caused by wheel and rail vibrations induced by acoustic roughness at the wheel-rail contact. In conventional approaches to predicting rail noise, the rail is regarded as placed in a free space so that the reflection from the ground is not included. However, in order to predict rail noise close to the rail, the effect of the ground should be contained in the analysis. In this study the rail noise reflected from the ground is investigated using the wavenumber domain finite element and boundary element methods. First, two rail models, one using rail attached to the rigid ground and one using rail located above rigid ground, are considered and examined to determine the rigid ground effect in terms of the radiation efficiency. From this analysis, it was found that the two models give considerably different results, so that the distance between the rail and the ground is an important factor. Second, an impedance condition was set for the ground and the effect of the ground impedance on the rail noise was evaluated for the two rail models.

Error analysis of acoustic target detection and localization using Cramer Rao lower bound (크래머 라오 하한을 이용한 음향 표적 탐지 및 위치추정 오차 분석)

  • Park, Ji Sung;Cho, Sungho;Kang, Donhyug
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.3
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    • pp.218-227
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    • 2017
  • In this paper, an algorithm to calculate both bearing and distance error for target detection and localization is proposed using the Cramer Rao lower bound to estimate the minium variance of their error in DOA (Direction Of Arrival) estimation. The performance of arrays in detection and localization depends on the accuracy of DOA, which is affected by a variation of SNR (Signal to Noise Ratio). The SNR is determined by sonar parameters such as a SL (Source Level), TL (Transmission Loss), NL (Noise Level), array shape and beam steering angle. For verification of the suggested method, a Monte Carlo simulation was performed to probabilistically calculate the bearing and distance error according to the SNR which varies with the relative position of the target in space and noise level.

A High-resolution Seismic Survey on the Abandoned Tidal Flat in Shihwa Lake (시화호내 과거 조간대에서의 고해상 탄성파 탐사)

  • Hong, Jong Guk;Kim, Gi Yeong;Choe, Dong Rim
    • Journal of the Korean Geophysical Society
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    • v.2 no.4
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    • pp.251-258
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    • 1999
  • A high-resolution seismic survey was conducted on the abandoned tidal flat in Shihwa Lake on the west coast of Korea. A portable vibrator was used as a seismic source and 217 shot gathers with 48-channel system were acquired. F-k filtering, residual static corrections and post-stack frequency filtering are found to be useful for signal enhancement. The overburden is divided into two seismic depositional units. Unit I is deposited in tidal environment characterized by parallel and high continuity reflection pattern. This unit comprises a dry layer (Unit Ia) and a wet layer (Unit Ib) having averagely 5 and 15 meters thick, respectively. Unit II unconformably overlain by Unit I exhibits discontinuity and hummocky reflection pattern, indicating complex channel-fill sediments in estuary. The maximum thickness of this unit is approximately 20 meter. Acoustic basement is considered as Precambrian granitic gneiss occurred in the surrounding area.

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Comparison of Track Vibration Characteristics for Domestic Railway Tracks in the Aspect of Rolling Noise (철도 전동 소음의 관점에서 해석한 국내 철도의 진동 특성 비교)

  • Ryue, Jungsoo;Jang, Seungho
    • Journal of the Korean Society for Railway
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    • v.16 no.2
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    • pp.85-92
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    • 2013
  • An important source of noise from railways is rolling noise caused by wheel and rail vibrations induced by acoustic roughness at the wheel-rail contact. The main contributors to rolling noise are the sleepers, rail, and wheels. In order to analyze and predict rolling noise, it is necessary to understand the vibrating behaviors of railway tracks, as well as of the wheels. In the present paper, theoretical modeling methods for railway track are reviewed in terms of rolling noise; these methods are applied for the three representative types of domestic railway tracks operated: the conventional ballasted track, KTX ballasted track and KTX concrete track. The characteristics of waves propagating along rails are investigated and compared among the types of tracks. The tracks are modeled as discretely supported Timoshenko beams and are compared in terms of the averaged squared amplitude of velocity, which is directly related to the sound radiation from the rails.

Wave Generation and Its Effect on Lesion Detection in Sonoelastography: Theory and Simulation Study (음향 탄성영상법에서 연조직 내 파동 발생과 병변 검출의 특성: 이론 및 시뮬레이션 연구)

  • 박정만;권성재;정목근
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.5
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    • pp.282-293
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    • 2005
  • Sonoelastography is an ultrasound-based technique that visualizes the elastic properties of soft tissues by measuring the tissue motion generated by an externally applied vibration. In this paper. the characteristics of wave generation in soft tissues due to an acoustic vibrator are studied. The effects of modal patterns on the detectability of lesions such as tumors in senoelastography are also investigated These are accomplished by analyzing the vibration patterns calculated using theoretical equations and finite element methods in halt space, infinite plate. and finite-sized tissue. A finite-width source generates shear waves with large amplitude Propagating in specific directions. and the generation characteristics depend both on the width and frequency of the vibrator. as well as the distance from it. It is shown in a finite-sized tissue that the lesion detection in displacement images is quit dependent on the modal patterns inside tissue. In contrast it Is also found that the lesion detectability in strain images is less dependent on the modal Patterns and is much better than that in displacement images.

Improvement of the Radiation Beam Profile of a Medical Ultrasonic Transducer (의료용 초음파 트랜스듀서의 방사 빔 형상 개선)

  • Park, Yeonsue;Lee, Wonseok;Roh, Yongrae
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.4
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    • pp.264-273
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    • 2015
  • Improvement of the radiation beam profile of a medical ultrasonic transducer has been researched in this paper. In order to improve the beam profile, a new transducer structure has been devised that includes both a shaded electrode and a multi-focus lens. For a linear sound source, the beam profile was investigated through finite element analysis, and then the optimal design of the devised structure was carried out by considering such performances as sidelobe level, focal range and beamwidth simultaneously. In the process, the optimal dimension of the devised structure was derived by using the ratio of the focal range to the minimum beamwidth as a performance index. As a result, the beam profile has been improved to have a lower sidelobe level at -20.2 dB and a consistent narrow beamwidth from 30 mm to 160 mm depth with the minimum beamwidth at 2.04 mm. Further, a prototype transducer was fabricated to have the devised structure, and its performance was measured and compared with the analysis results to confirm the validity of the devised transducer structure.

Leakage detection and management in water distribution systems

  • Sangroula, Uchit;Gnawali, Kapil;Koo, KangMin;Han, KukHeon;Yum, KyungTaek
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.160-160
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    • 2019
  • Water is a limited source that needs to be properly managed and distributed to the ever-growing population of the world. Rapid urbanization and development have increased the overall water demand of the world drastically. However, there is loss of billions of liters of water every year due to leakages in water distribution systems. Such water loss means significant financial loss for the utilities as well. World bank estimates a loss of $14 billion annually from wasted water. To address these issues and for the development of efficient and reliable leakage management techniques, high efforts have been made by the researchers and engineers. Over the past decade, various techniques and technologies have been developed for leakage management and leak detection. These include ideas such as pressure management in water distribution networks, use of Advanced Metering Infrastructure, use of machine learning algorithms, etc. For leakage detection, techniques such as acoustic technique, and in recent yeats transient test-based techniques have become popular. Smart Water Grid uses two-way real time network monitoring by utilizing sensors and devices in the water distribution system. Hence, valuable real time data of the water distribution network can be collected. Best results and outcomes may be produced by proper utilization of the collected data in unison with advanced detection and management techniques. Long term reduction in Non Revenue Water can be achieved by detecting, localizing and repairing leakages as quickly and as efficiently as possible. However, there are still numerous challenges to be met and future research works to be conducted in this field.

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