• Title/Summary/Keyword: 다중 스펙트럼 수정법

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Evaluation of Ground Motion Modification Methodologies for Seismic Structural Damage (지진 구조 손상도 예측을 위한 지반 운동 수정법 평가)

  • Heo, YeongAe
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.17 no.4
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    • pp.112-118
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    • 2013
  • The selection of appropriate ground motions and reasonable modification are becoming increasingly critical in reliable prediction on seismic performance of structures. A widely used amplitude scaling approach is not sufficient for robust structural evaluation considering a site specific seismic hazard because only one spectral value is matched to the design spectrum typically at the structural fundamental period. Hence alternative approaches for ground motion selection and modifications have been suggested. However, there is no means to evaluate such methodologies yet. In this study, it is focused to describe the main questions resided in the amplitude scaling approach and to propose a regression model for structural damage as point of comparison. Spectrum compatible approach whose resulting spectrum matches the design spectrum at the entire range of the structural period is considered as alternative to be compared to the amplitude scaling approach. The design spectrum is generated according to ASCE7-05.

A Generalized Subspace Approach for Enhancing Speech Corrupted by Colored Noise Using Voice Activity Detector(VAD) (음성활동영역검색을 사용하는 유색잡음에 오염된 음성의 향상을 위한 일반화 부공간 접근)

  • Son, Kyung-Sik;Kim, Hyun-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.8
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    • pp.1769-1776
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    • 2013
  • In this paper, we proposed the modified YL(Yi and Loizou) algorithm, using a VAD(voice activity detector) for enhancing speech corrupted by colored noise. The performance of the proposed algorithm has been compared to the YL algorithm and LS(Lee and Son, etc.) algorithm by computer simulation. The colored noises used in the experiment were a car noise and multi-talker babble from the AURORA data base and the used voices from the TIMIT data base. It is confirmed that the proposed algorithm shows better performance from SNR(signal to noise ratio) and SSD(speech spectral distortion) viewpoint over the previous two approach.