• Title/Summary/Keyword: 종 음향

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Noise reduction of a vehicle acoustic cavity sample using coupled Structural-Acoustic element analysis (구조-음향 연성해석을 통한 모형차실 모델의 소음저감 기술연구)

  • 김태정;강성종;서정범
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1994.10a
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    • pp.288-294
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    • 1994
  • A study of prediction and qualification techniques for structure borne booming noise is presented in this paper. Result from acoustic normal mode finite element analysis of a 1/2 size vehicle cavity sample model is compared to the that from an experiment. Coupled structural-acoustic analysis is performed on a 1/4 size vehicle cavity sample model surrounded by 2 mm thick normal steel plates. Interior noise levels around passensger's ear position are predicted and reduced by structural modification based on panel participation factor analysis about the sample cavity model. Futhermore, optimization technique in application of anti-vibration pad is studied.

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Acoustic Coupling between Longitudinal and Transverse Modes in an Annular Gas Turbine Combustor (환형 가스터빈 연소기에서 종방향 및 횡방향 음향모드 커플링)

  • Kim, Jihwan;Kim, Daesik
    • Journal of the Korean Society of Combustion
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    • v.23 no.1
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    • pp.13-20
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    • 2018
  • Transverse acoustic mode in annular combustion chambers affects air-fuel mixing characteristics in the nozzle and can result in heat release fluctuations in the combustor. In addition, the acoustic mode coupling between the nozzle and the combustion chamber is one of the key parameters determining combustion instability phenomenon in the annular combustor. In this study, acoustic coupling between the nozzle and annular combustor was numerically analyzed using 3D-based in house FEM code. As a result, it was found that the acoustic mode inside the combustion chamber at anti-node locations of the transverse mode was strongly influenced by the nozzle inlet boundary conditions.

A Lip Movement Image Tracing Test Environment Build-up for the Speech/Image Interworking Performance Enhancement (음성/영상 연동성능 향상을 위한 입술움직임 영상 추적 테스트 환경 구축)

  • Lee, Soo-Jong;Park, Jun;Kim, Eung-Kyeu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.328-329
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    • 2007
  • 본 논문은 로봇과 같이 외부 음향잡음에 노출되어 있는 상황 하에서, 대면하고 있는 사람이 입술을 움직여 발성하는 경우에만 음성인식 기능이 수행되도록 하기 위한 방안의 일환으로, 입술움직임 영상을 보다 정확히 추적하기 위한 테스트 환경 구현에 관한 것이다. 음성구간 검출과정에서 입술움직임 영상 추적결과의 활용여부는 입술움직임을 얼마나 정확하게 추적할 수 있느냐에 달려있다. 이를 위해 영상 프레임율 동적 제어, 칼라/이진영상 변환, 순간 캡쳐, 녹화 및 재생기능을 구현함으로써, 다각적인 방향에서 입술움직임 영상 추적기능을 확인해 볼 수 있도록 하였다. 음성/영상기능을 연동시킨 결과 약 99.3%의 연동성공율을 보였다.

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An Automatic Diphone Segmentation for Korean Speech Synthesis-by-Rule (한국어 규칙 합성을 위한 다이폰의 자동 추출)

  • 정인종;경연정;김한우;이양희
    • The Journal of the Acoustical Society of Korea
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    • v.12 no.2E
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    • pp.63-72
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    • 1993
  • 본 논문에서는 무제한 음성 생성을 위한 단위음성으로서의 다이폰을 2음절 자연음성으로부터 자동 추출하는 알고리즘을 제안한다. 입력음성을 개량 켑스트럼 파라미터로 분석하여 이로부터 다이폰 추출 파라미터들을 도출한다. 제안된 파라미터로는 에너지 레벨을 나타내는 0차 켑스트럼의 동적변화량, 스펙트럼의 시간 변화량 영교차율, 캡스트럼의 유클리디안 거리이다. 스펙트럼 포락의 변화가 완만한 모음 연쇄등의 음소 경계를 보다 효율적으로 검출하기 위해 스펙트럼의 시간 변화를 미세부분과 개형부분으로 나누어 각각을 파라미터로 사용한다. VV(모음연쇄), VCV(C: 반모음, 자음), VCCV형들로 이루어진 2음절 단어들에 대해 실험한 결과, 모음연쇄 등이 포함되어 있음에도 약 85% 정확도의 음소경계검출을 얻었다. 본 논문에 의한 다이폰을 이용한 합성음의 청취실험 결과 명료도가 높음을 확인하였다.

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전기설비의 절연열화 진단 기법

  • 곽희로;임기조;구자윤;강성화
    • 전기의세계
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    • v.46 no.8
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    • pp.34-40
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    • 1997
  • 케이블 시스템의 사고는 예방 진단에 근거한 정확한 진단으로 피할 수 있으며, 잔여수명 예측 기술은 진단 방법의 체계적인 적용에 의해 향상될 수 있다. 따라서 본 고에서는 케이블 시스템 진단 방법의 체계적인 개발을 위해서 60 kV급 이상의 종이 절연 혹은 고분자 절연 전력 케이블과 그 접속 자재에 대해서만 진단 방법을 개략적으로 소개만하고 있으며 수트리에 관련된 열화, 절연체의 열화를 제외한 모든 열화현상과 DC 케이블에 대해서는 언급을 하지 않았다. 회전기 고체절연체의 열화에 의해 야기되는 변화는 회전기 진동을 발생 시키고, 진동은 기계에 심각한 손상을 발생시킨다. 회전기의 절연열화 진단은 유전손실, 유전율, 음향 등의 측정/분석으로 가능하고 적용 방법은 on-line/off-line으로 가능하다. 절연 시스템의 열화정도 판정은 회전기의 적절한 보수시기의 판단을 가능하게 하여 유지 보수비의 절감 및 회전기의 수명연장을 가능하게 할 것이다.

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Friction Welding Optimization of Hot Die Punch Materials and Its AE Evaluation (열간 금형재의 마찰용접 최적화와 AE평가)

  • Oh, S.K.;Kong, Y.S.;Park, I.D.;Yoo, I.J.
    • Journal of Power System Engineering
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    • v.4 no.4
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    • pp.54-58
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    • 2000
  • The complete joining method for dissimilar hot die punch materials and its real-time evaluation method are not available at present. Brazing method has been used for joining them, but it is known that the welded joint by the brazing has the lower bonding efficiency and reliability than the diffusion welding. The friction welding with a diffusion mechanism in bonding was applied in this study. So, this work was carried out to determine the optimal friction welding conditions and to analyze mechanical properties of friction welded joints of hot die punch materials (STD61 for the blade part of hot die punch) to alloy steel (SCM440 for the shank part of hot die punch) such as plunger. In addition, acoustic emission test was carried out during friction welding to evaluate the weld quality.

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Friction Welding Optimization of Elevated Temperature Materials for Pressure Vessels and Its Quality Evaluation by AE (압력용기용 고온재료의 마찰용접 최적화 및 AE에 의한 실시간 품질평가( I ))

  • 김헌경;공유식;이연탁;유인종;오세규
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2001.05a
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    • pp.301-306
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    • 2001
  • In this paper, friction welding optimization for 1Cr0.5Mo to STS304 and AE applications for the weld quality evaluation were investigated The important results of this study are as follows : 1. The techiques for dissimilar friction welding optimization if the elevated temperature materials 1Cr0.5Mo and STS304 and its real-time weld quality evaluation by AE were developed, considering on both strength and toughness. 2. Quantitative relationship was identified among welding condition, weld quality and cumulative AE counts.

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A Study on the Local Simulation Health System using Internet (인터넷을 이용한 현장 시뮬레이션 헬스시스템에 관한 연구)

  • Joo, Hae-Jong;Han, Ki-Jun;Pyun, Dong-Hyun
    • The Journal of Information Technology
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    • v.6 no.1
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    • pp.39-47
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    • 2003
  • This paper supplies data of bulky amount such as slant environment by place's video and sound and topography that want all the world through internet. Therefore, do by purpose that offer spot simulation health system that use net that do so that can offer environment similar to that is run the country that want, area that want that user wants without receiving limitation in area.

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Comparison of environmental sound classification performance of convolutional neural networks according to audio preprocessing methods (오디오 전처리 방법에 따른 콘벌루션 신경망의 환경음 분류 성능 비교)

  • Oh, Wongeun
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.3
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    • pp.143-149
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    • 2020
  • This paper presents the effect of the feature extraction methods used in the audio preprocessing on the classification performance of the Convolutional Neural Networks (CNN). We extract mel spectrogram, log mel spectrogram, Mel Frequency Cepstral Coefficient (MFCC), and delta MFCC from the UrbanSound8K dataset, which is widely used in environmental sound classification studies. Then we scale the data to 3 distributions. Using the data, we test four CNNs, VGG16, and MobileNetV2 networks for performance assessment according to the audio features and scaling. The highest recognition rate is achieved when using the unscaled log mel spectrum as the audio features. Although this result is not appropriate for all audio recognition problems but is useful for classifying the environmental sounds included in the Urbansound8K.

A study on the Recognition of Continuous Digits using Syntactic Analysis and One-Stage DP (구문 분석과 One-Stage DP를 이용한 연속 숫자음 인식에 관한 연구)

  • Ann, Tae-Ock
    • The Journal of the Acoustical Society of Korea
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    • v.14 no.3
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    • pp.97-104
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    • 1995
  • This paper is a study on the recognition of continuous digits for the implementation of a voice dialing system, and proposes an method of speech recognition using syntactic analysis and One-Stage DP. In order to perform the speech recognition, first of all, we make DMS model by section division algorithm and let continuous digits data be recognized through the proposed One-Stage DP method using syntactic analysis. In this study, 7 continuous digits of 21 kinds which is pronounced by 8 male speakers two or three times, are used. The speaker dependent and speaker independent recognition are performed with the above data by way of the conventional One-Stage DP and the proposed One-Stage DP using syntactic analysis under the condition of laboratory environment. From the recognition experiments, it is shown that the proposed method was better than the established method. And, the recognition accuracy of speaker dependence and independence by the proposed One-Stage DP using syntactic analysis was about 91.7% and 89.7%.

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