• 제목/요약/키워드: daub

검색결과 4건 처리시간 0.02초

연약지반 TBM 터널 막장지보 계산방법 해설 (Commentary on Soft Ground TBM Tunnel Face Support Calculation Methods)

  • 지왕률;유정현
    • 터널과지하공간
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    • 제28권2호
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    • pp.186-192
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    • 2018
  • 최근에 독일터널위원회(German Tunnelling Committee DAUB)에서 TBM 막장지보의 새로운 계산법을 발표하였다. 이에 따라 보쿰시에 위치한 Ruhr 대학의 Zdenek Zizka와 Markus Thewes가 새로운 방법에 대해 활발한 논의를 하였다. 이러한 권유사항은 다양한 터널막장 지보 계산방법에서 지반조건에 따라 가장 적절한 계산법을 선정하는데 도움이 된다.또한, 막장에 적용되는 지반압 혹은 지하수압에 따른 막장안정 계산법들을 논하였다. 이 보고서에는 Zdenek Zizak and Markus Thewes의 터널 막장지보 계산법에 대한 기술적 논의를 구체적으로 설명하는 것이 목적이다.

웨이브렛 변환을 바탕으로 한 신경회로망을 이용한 전력용 변압기 보호 계전기법 (The Protective Relaying Scheme of Power Transformer Using Wavelet Based Neural Networks)

  • 권기백;서희석;윤석무;신명철
    • 대한전기학회논문지:전력기술부문A
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    • 제51권3호
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    • pp.134-142
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    • 2002
  • This paper presents a new method for the protective relaying scheme in power transformer using wavelet based neural networks. This approach is as fellows. After approximation and detail information is extracted by daub wavelet transform from differential current of power transformer, the former is used for obtaining the rate of differential currents and restrain currents, the latter used as the input of artificial neural networks to avoid the Hiss-operation in over-exciting state and magnetizing inrush state of power transformer. The simulation of EMTP with respect to different faults, inrush conditions and over-exciting conditions in power transformer have been conducted, and the results preyed that the proposed method is able to discriminate magnetizing inrush states, over-exciting stales and internal faults.

미장공사의 품기준 변화 요인에 관한 연구 (A Study on Factors Affecting Changes in Estimating Standards in Plaster Work)

  • 오재훈;안방율
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2019년도 춘계 학술논문 발표대회
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    • pp.232-233
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    • 2019
  • The plater work in the standard of estimate presents a variety of construction types. However, there is a part that does not fit the change of specification standards and on-site construction status, and it was revised in 2019's standard of estimate. In this study, we analyzed in detail the factors affecting the changes in estimating standards in the plater work. There were changes in the specification standards previously presented as primary coat, secondary coat, and formal coat as well as changes in on-site construction status such as thickness according to the number of plastering. Therefore, it is analyzed that the estimating standards can be classified by the number of finishes according to the site conditions by reflecting the analysis of the specification standards and site application status, and suggesting the finishing standards according to the number of plastering.

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Wavelet 변환을 이용한 최적 영상 데이터 다해상도 표현 및 압축에 관한 연구 (A study on optimal Image Data Multiresolution Representation and Compression Through Wavelet Transform)

  • 강경모;정기삼;이명호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1994년도 추계학술대회
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    • pp.31-38
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    • 1994
  • This paper proposed signal decomposition and multiresolution representation through wavelet transform using wavelet orthonormal basis. And it suggested most appropriate filter for scaling function in multiresoltion representation and compared two compression method, arithmetic coding and Huffman coding. Results are as follows 1. Daub18 coefficient is most appropriate in computing time, energy compaction, image quality. 2. In case of image browsing that should be small in size and good for recognition, it is reasonable to decompose to 3 scale using pyramidal algorithm. 3. For the case of progressive transmittion where requires most grateful image reconstruction from least number of sampls or reconstruction at any target rate, I embedded the data in order of significance after scaling to 5 step. 4. Medical images such as information loss is fatal have to be compressed by lossless method. As a result from compressing 5 scaled data through arithmetic coding and Huffman coding, I obtained that arithmetic coding is better than huffman coding in processing time and compression ratio. And in case of arithmetic coding I could compress to 38% to original image data.

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