• 제목/요약/키워드: logarithmic objective function

검색결과 6건 처리시간 0.026초

로그 목적함수의 유사 헤시안을 이용한 라플라스 영역 파형 역산과 레벤버그-마쿼트 알고리듬 (Laplace-domain Waveform Inversion using the Pseudo-Hessian of the Logarithmic Objective Function and the Levenberg-Marquardt Algorithm)

  • 하완수
    • 지구물리와물리탐사
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    • 제22권4호
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    • pp.195-201
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    • 2019
  • 파형 역산에 사용하는 로그 목적함수는 관측 자료와 모델링 자료의 로그값의 차이를 최소화하는 목적함수이다. 라플라스 영역 파형 역산에서는 주로 로그 목적함수와 유사 헤시안의 대각 성분을 이용하여 최적화를 수행한다. 이 때 유사 헤시안의 대각 성분이 0 또는 0에 가까운 값이 되는 것을 막기 위해 레벤버그-마쿼트 알고리듬을 적용한다. 본 연구에서는 로그 목적함수의 유사 헤시안의 대각 성분을 분석하여 음향파 라플라스 영역 파형 역산에서는 유사 헤시안의 대각 성분이 0 또는 0에 가까운 값을 가지지 않음을 보였다. 따라서 로그 목적함수의 유사 헤시안을 이용한 경사 방향 정규화시 레벤버그-마쿼트 알고리듬을 적용할 필요가 없다. 수치 예제에서 인공합성 자료와 현장 자료를 이용해 레벤버그-마쿼트 기법 없이도 역산 결과를 얻을 수 있음을 보였다.

지수 및 적분을 포함한 목적함수에 의한 파형역산 (Full waveform inversion by objective functions with power and integral)

  • 하완수;편석준;신창수
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2007년도 공동학술대회 논문집
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    • pp.130-134
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    • 2007
  • Classical full waveform inversion for velocity estimation defines the objective function as the $l^2$ -norm of differences between the modeled and the observed wavefields. Although widely used, the results of this method have been less than satisfactory. A moderate improvement of this method is to define the objective function as the $l^2$ -norm of differences between the logarithms of the modeled and observed wavefields. In this paper we propose new objective functions of waveform inversion. They produce better results in sub-salt imaging than those of the classical and the logarithmic objective functions. One objective function defines the residual as the difference between $L^{th}$ power of the modeled wavefields and that of the observed wavefields. Another defines the residual as the difference between the integral of the $L^{th}$ power of the modeled wavefields and that of the observed wavefields. We apply these new objective functions to the synthetic SEG/EAGE salt model, and show that our new waveform inversion algorithms provide more accurate results than those of the classical and logarithmic waveform inversion methods.

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$l_1$-norm을 이용한 주파수 영역 파형역산 (Frequency Domain Waveform Inversion Using $l_1$ -norm)

  • 편석준;신창수
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2007년도 공동학술대회 논문집
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    • pp.118-123
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    • 2007
  • A robust objective function in the frequency domain is applied to the acoustic full waveform inversion. The proposed objective function is defined as $l_1$-norm of residual wavefields in the frequency domain. Generally, the full waveform inversion is extremely sensitive to a number of factors such as parameterization, initial model, noise and so on. The numerical tests were performed for checking the sensitivity to attenuation and several noises. For the comparison with other objective functions, the conventional least-squares method and the logarithmic method were tested under the same condition. The synthetic data examples show that the proposed algorithm is more robust than the well-known methods.

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유전 알고리즘을 이용한 초임계 회전축계의 진동 최적 설계 (Vibration Optimum Design for Hypercritical Rotor System Using Genetic Algorithm)

  • 최병근;양보석
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 1996년도 추계학술대회논문집; 한국과학기술회관, 8 Nov. 1996
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    • pp.313-318
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    • 1996
  • In this paper, a parametric study of the unbalance response and the stability is carried out to show the influence of seal parameters on the response of rotor. The seal parameters optimized are the seal clearance and the seal length. The minimum quantity of a Q factor in the critical speed and the maximum quantity of a logarithmic decreement in the operating speed, avoiding the reign of resonance, are the objective function. This paper describes a new approach to find a seal parameter of rotor system. The optimization method is used genetic algorithms, which are search algorithms based on the mechanics of natural selection and natural genetics. The results show the capability of this method and indicate that an optimal design of seals can improve the unbalance and the stability of rotor.

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강우-유출에 대한 선형저수지 모형의 매개변수 연구 (Parameters Study of Linear Reservoir Models for Rainfall-Runoff Response)

  • 서영제;김진규;박현주
    • 한국수자원학회논문집
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    • 제32권6호
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    • pp.711-720
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    • 1999
  • 서해안의 3개 실험유역을 선정, 강우-유출 현상 중 홍수수문곡선을 모의하기 위하여 선형저수지 모형을 적용하고 모형의 매개변수를 유역특성과 상관시켜 회귀분석을 실시하였다. 분석을 위하여 총 8개 모형이 이용되었으며 3개 유역, 5개 수위관측지점에서 시험·적용하였다. 선정된 모형의 매개변수 최적화는 선형계획기법의 일종인 Rosenbrock방법을 이용하였고 유도된 모형의 매개변수는 또 다른 강우-유출 사상에 모의하여 검정하였다. 그리고 검정된 모형 중 Nash모형은 저수지 수(N)와 저류상수(k), 그리고 선형저수지 모형의 경우 저류상수(k)를 유역특성치인 유역의 크기, 경사도 및 하천길이와 상관시켜 회귀분석을 실시하였으며 이 결과는 무계측 유역의 순간단위도(IUH)를 유도하는데 이용할 수 있을 것이다.

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패턴인식 알고리즘을 적용한 임플란트 주변골 흡수 분석 (Marginal Bone Resorption Analysis of Dental Implant Patients by Applying Pattern Recognition Algorithm)

  • 정민기;김성민;김명주;이종호;명훈;김명진
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제35권3호
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    • pp.167-173
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    • 2013
  • Purpose: The aim of this study is to analyze the series of panoramic radiograph of implant patients using the system to measure peri-implant crestal bone loss according to the elapsed time from fixture installation time to more than three years. Methods: Choose 10 patients having 45 implant fixtures installed, which have series of panoramic radiograph in the period to be analyzed by the system. Then, calculated the crestal bone depth and statistics and selected the implant in concerned by clicking the implant of image shown on the monitor by the implemented pattern recognition system. Then, the system recognized the x, y coordination of the implant and peri-implant alveolar crest, and calculated the distance between the approximated line of implant fixture and alveolar crest. By applying pattern recognition to periodic panoramic radiographs, we attained the results and made a comparison with the results of preceded articles concerning peri-implant marginal bone loss. Analyzing peri-implant crestal bone loss in a regression analysis periodic filmed panoramic radiograph, logarithmic approximation had highest $R^2$ value, and the equation is as shown below. $y=0.245Logx{\pm}0.42$, $R^2=0.53$, unit: month (x), mm (y) Results: Panoramic radiograph is a more wide-scoped view compared with the periapical radiograph in the same resolution. Therefore, there was not enough information in the radiograph in local area. Anterior portion of many radiographs was out of the focal trough and blurred precluding the accurate recognition by the system, and many implants were overlapped with the adjacent structures, in which the alveolar crest was impossible to find. Conclusion: Considering the earlier objective and error, we expect better results from an analysis of periapical radiograph than panoramic radiograph. Implementing additional function, we expect high extensibility of pattern recognition system as a diagnostic tool to evaluate implant-bone integration, calculate length from fixture to inferior alveolar nerve, and from fixture to base of the maxillary sinus.