• Title/Summary/Keyword: Acoustic window

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생체 신호처리

  • 박상희
    • Journal of Biomedical Engineering Research
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    • v.10 no.2
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    • pp.97-101
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    • 1989
  • N1 and N2 gross neural action potentials were measured from the round window of the guinea pig cochlea at the onset of the acoustic stimuli. N1-N2 audiograms were made by means of regulating stimulant intensities in order to produce constant N1-N2 potentials as criteria for different input tone pip frequencies. The lowest threshold was measured with an input tone pip I5 dB SPL in intensity and 12 KHz in frequency when the animal was in normal physiological condition. The procedure of experimental measurements is explained in detail. This experimental approach is very useful for the investigation of the Cochlear function. Both noN1inear and active functions of the Cochlea can be monitored by N1-N2 audiograms.

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Frequency Domain Equivalent Circuit Identification of Ultrasound Transducer (주파수 영역 측정에 의한 초음파 변환기 등가회로 추정)

  • 전병두;임준석;송준일;성굉모
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.325-328
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    • 2000
  • 초음파 변환기의 정합을 위해서는 초음파 변환기의 등가회로 구성이 중요하다. 전통적인 등가회로의 경우 비교적 안정적인 등가회로를 예측하게 해 주지만 초음파변환기 구성에서 일어나는 초음파 변환기 외의 구성품 즉 Backing Material, Acoustic Window Material, Radiation Impedance 등에 의한 부가적인 효과를 모델링하는 데는 한계가 있다. 따라서 좀 더 일반적인 방법으로 초음파 변환기를 모델링하는 방법이 필요하다. 그런 방법의 하나로 주파수 영역 측정에 의한 초음파변환기 등가회로 추정법을 제안한다. 이 방법은 초음파 변환기 제작 시 많이 쓰는 임피던스 분석의 결과를 그대로 사용할 수 있고 또 그것이 없어도 일반 함수발생기와 오실로스코프만으로 측정할 수 있어서 랜덤함수를 발생시키고 이에 대한 출력을 저장해야 데이터를 얻을 수 있는 시간영역 추정법에 대해서 장점을 갖는다.

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N1-N2 Audiograms of the Guinea Pig Cochlea (기네아피그 달팽이관의 N1-N2 오디오그램)

  • 장순석
    • Journal of Biomedical Engineering Research
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    • v.16 no.1
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    • pp.77-84
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    • 1995
  • Nl and N2 gross neural action potentials were measured from the round window of the guinea pig cochlea at the onset of the acoustic stimuli. Nl -N2 audiograms were made by means of regulating stimulant intensities in order to produce constant Nl -N2 potentials as criteria for different input tone pip frequencies. The lowest threshold was measured with an input tone pip 15 dB SPL in intensity and 12 KHz in frequency when the animal was in normal physiological condition. The procedure of experimental measurements is explained in detail. This experimental approach is very useful for the investigation of the Cochlear function. Both nonlinear and active functions of the Cochlea can be monitored by Nl -N2 audiograms. Key words : Guinea Pig, Cochlea, Wl and N2 Gross Neural Action Potential, Nl -N2 audiogram.

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Feasibility study for wrap-buoy assisted wet-tow and stepwise installation of mono-bucket foundation for 15 MW offshore wind turbine

  • Ikjae, Lee;Moohyun, Kim
    • Ocean Systems Engineering
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    • v.12 no.4
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    • pp.413-437
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    • 2022
  • An innovative concept for wet-transportation and stepwise installation of mono-bucket foundation for 15 MW offshore wind turbine is proposed. Case studies for two different mono-bucket and wrap-buoy dimensions are conducted and their hydrostatic and hydrodynamic performances are compared for both wet-towing and lowering operations. The intact stability and transient responses are analyzed in detail for various stages of lowering operation. Wave-induced motion statistics during wet tow in sea state 4 (highest operational window) are checked. The proposed concept is found to be feasible and can be an alternative cost-effective solution without using heavy-lift crane vessel in practice.

A Study on the NC Embedding of Vision System for Tool Breakage Detection (공구파손감지용 비젼시스템의 NC실장에 관한 연구)

  • 이돈진;김선호;안중환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.369-372
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    • 2002
  • In this research, a vision system for detecting tool breakage which is hardly detected by such indirect in-process measurement method as acoustic emission, cutting torque and motor current was developed and embedded into a PC-NC system. The vision system consists of CMOS image sensors, a slit beam laser generator and an image grabber board. Slit beam laser was emitted on the tool surface to separate the tool geometry well from the various obstacles surrounding the tool. An image of tool is captured through two steps of signal processing, that is, median filtering and thresholding and then the tool is estimated normal or broken by use of change of the centroid of the captured image. An air curtain made by the jetting high-pressure air in front of the lens was devised to prevent the vision system from being contaminated by scattered coolant, cutting chips in cutting process. To embed the vision system to a Siemens PC-NC controller 840D NC, an HMI(Human Machine Interface) program was developed under the Windows 95 operating system of MMC103. The developed HMI is placed in a sub window of the main window of 840D and this program can be activated or deactivated either by a soft key on the operating panel or M codes in the NC part program. As the tool breakage is detected, the HMI program emit a command for automatic tool change or send alarm to the NC kernel. Evaluation test in a high speed tapping center showed the developed system was successful in detection of the small-radius tool breakage.

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Automatic Vowel Onset Point Detection Based on Auditory Frequency Response (청각 주파수 응답에 기반한 자동 모음 개시 지점 탐지)

  • Zang, Xian;Kim, Hag-Tae;Chong, Kil-To
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.333-342
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    • 2012
  • This paper presents a vowel onset point (VOP) detection method based on the human auditory system. This method maps the "perceptual" frequency scale, i.e. Mel scale onto a linear acoustic frequency, and then establishes a series of Triangular Mel-weighted Filter Bank simulate the function of band pass filtering in human ear. This nonlinear critical-band filter bank helps greatly reduce the data dimensionality, and eliminate the effect of harmonic waves to make the formants more prominent in the nonlinear spaced Mel spectrum. The sum of mel spectrum peaks energy is extracted as feature for each frame, and the instinct at which the energy amplitude starts rising sharply is detected as VOP, by convolving with Gabor window. For the single-word database which contains 12 vowels articulated with different kinds of consonants, the experimental results showed a good average detection rate of 72.73%, higher than other vowel detection methods based on short-time energy and zero-crossing rate.

The Comparative Study of the Methods Estimating the Impulse Response of a System with Long Reverberation Time using Discrete Fourier Transform (DFT) (DFT를 이용한 잔향이 긴 음향 전달계의 임펄스 레스폰스 추정에 관한 연구)

  • Kim, C.D.;Masato, Abe;Kenitikido,
    • The Journal of the Acoustical Society of Korea
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    • v.7 no.2
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    • pp.26-38
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    • 1988
  • This paper describes three methods for the estimation of the impulse reponse in an indoor acoustic transfer system which rather has long reverberation time by the cross spectrum. The first method, which is the conventional one, will use the white noise as the source signal. Therefore, the very long time window data and numerous number of DFT are necessary for this estimation. The second method has been disigned in order to shorten the length of time window of the first method by using a burst of noise as the source signal. The third method which will be suggested in this paper uses too types of definite signal with short duration time of the source signal. According to the view point of computation capacity, and estimation accuracy of the impulse response, the compared experimental results show that the third method will be better than the others.

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Numerical Analysis of Sunroof Buffeting using STAR-CCM+ (STAR-CCM+를 이용한 썬루프 버페팅 유동 소음 해석)

  • Bonthu, Satish Kumar;Mendonca, Fred;Kim, Ghuiyeon;Back, Young-R.
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.24 no.3
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    • pp.213-218
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    • 2014
  • CFD flow simulation of vehicles with open sunroof and passenger window help the automotive OEM(original equipment manufacturer) to identify the low frequency noise levels in the cabin. The lock-in and lock-off phenomena observed in the experimental studies of sunroof buffeting is well predicted by CFD speed sweep calculations over the operating speed range of the vehicle. The trend of the shear layer oscillation frequency with vehicle speed is also well predicted. The peak SPL from the CFD calculation has a good compromise with the experimental value after incorporating the real world effects into the CFD model by means of artificial compressibility and damping correction. The entire process right from modeling to flow analysis as well as acoustic analysis has been performed within the single environment i.e., STAR-CCM+.

Reliability Improvement of the Electro Optical Tracking System by using DLC Films (DLC 박막을 통한 전자광학추적장비 신뢰성 개선)

  • Shim, Bo-Hyun;Jo, Hee-Jin;Kim, Jang-Eun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.5
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    • pp.197-205
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    • 2015
  • The Diamond Like Carbon(DLC) films for the Electro Optical Tracking System(EOTS) by using Plasma Enhanced Chemical Vapor Deposition(PECVD) method is presented. We achieve that the DLC films can reduce the surface delamination of thermal observation sensor front window due to the high hardness, low friction and chemical inertness which is comparable to a Si film. According to our experiment results, DLC films can be used for various electro optical systems to eliminate surface delamination.

A Study on Loose Part Monitoring System in Nuclear Power Plant Based on Neural Network

  • Kim, Jung-Soo;Hwang, In-Koo;Kim, Jung-Tak;Moon, Byung-Soo;Lyou, Joon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.2
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    • pp.95-99
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    • 2002
  • The Loose Part Monitoring System(LPMS) has been designed to detect. locate and evaluate detached or loosened parts and foreign objects in the reactor coolant system. In this paper, at first, we presents an application of the back propagation neural network. At the preprocessing step, the moving window average filter is adopted to reject the reject the low frequency background noise components. And then, extracting the acoustic signature such as Starting point of impact signal. Rising time. Half period. and Global time, they are used as the inputs to neural network . Secondly, we applied the neural network algorithm to LPMS in order to estimate the mass of loose parts. We trained the impact test data of YGN3 using the backpropagation method. The input parameter for training is Rising clime. Half Period amplitude. The result shored that the neural network would be applied to LPMS. Also, applying the neural network to thin practical false alarm data during startup and impact test signal at nuclear power plant, the false alarms are reduced effectively.