• Title/Summary/Keyword: 근사법

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The Performance Analyparkof Bandlimited WCDMA Systems (대역이 제한된 광대역 코드분할 다중화 시스템의 성능 분석)

  • Kim, Young-Sam;Park, Joong-Hoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.4A
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    • pp.193-199
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    • 2003
  • In this paper, the performance of uplink WCDMA systems was analyzed using the SGA (Standard Gaussian Approximation) method and the SIGA(Simplified Improved Gaussian Approximation) method adopted for the performance analysis in conventional DS-CDMA systems. The performance of bandlimited WCDMA systems was analyzed using the SGA and SIGA method, and computer simulations were performed in AWGN environments having multiple access interference. It was shown that the performance analysis of uplink bandlimited WCDMA systems using the SIGa method may be very efficient through various computer simulations with verying spreading factors, roll-off factors, and signal-to-noise ratios.

3-D Crosshole EM Modeling by the Extended Born Approximations (확장된 Born근사법에 의한 시추공간 3차원 전자탐사 모델링)

  • Cho, In-Ky;Choi, Kyoung-Hwa
    • Geophysics and Geophysical Exploration
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    • v.2 no.3
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    • pp.142-148
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    • 1999
  • Three-dimensional electromagnetic modeling algorithm in homogeneous half-space was developed using the extended Born approximation to an electric field integral equation. To examine the performance of the extended Born approximation algorithm, the results were compared with those of the full integral equation results. For a crosshole source-receiver configuration, the agreement between the integral equation and the extended Born approximation was remarkable when the source frequency is lower than 20 kHz and conductivity contrast lower than 1:10. Beyond this conductivity contrast, the simulated results by the extended Born approximation exhibit a difference with respect to those by the integral equation. Therefore, the limit of accuracy lies below contrast of 1:10 in the extended Born approximation. Since for the source frequency range from 20 kHz to 100 kHz, however, the difference is relatively small, the extended Born approximation could be used for a reasonable 3-D EM modeling algorithm.

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Analysis of Natural Convection and Radiation Heat Transfer in a Square Enclosure by Spherical Harmonics Approximation (구 조화 근사법에 의한 정사각형 밀폐공간내의 자연대류-복사열전달 해석)

  • 차상명;김창기;박희용
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.15 no.3
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    • pp.1021-1029
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    • 1991
  • 본 연구에서는 2차원 정사각형 밀폐공간내에서 흡수 및 방사하는 회기체에 대 한 자연대류-복사 열전달을 P-1 및 P-3 근사법을 이용하고 수치해석을 통하여 유동 및 열전달 특성을 연구하였고 Plank 수, 광학두께 및 벽방사율의 영향을 조사하였다. 또한 P-3 근사해와 비교함으로써 P-1 근사해의 적용범위를 고찰하였다.

Comparative Study of Confidence Interval Estimators for Coverage Analysis (Coverage 분석을 위한 신뢰구간 추정량에 관한 비교 연구)

  • Lee, Jong-Suk;Jeong, Hae-Duck J.
    • The KIPS Transactions:PartD
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    • v.11D no.1
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    • pp.219-228
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    • 2004
  • Confidence interval estimators for proportions using normal approximation have been commonly used for coverage analysis of simulation output even though alternative approximate estimators of confidence intervals for proportions were proposed. This is -because the normal approximation was easier to use in practice than the other approximate estimators. Computing technology has no problem with dealing these alternative estimators. Recently, one of the approximation methods for coverage analysis which is based on arcsin transformation has been used for estimating proportion and for controlling the required precision in [12]. In this paper, we compare three approximate interval estimators, based on a normal distribution approximation, an arcsin transformation and an F-distribution approximation, of a single proportion. Three estimators were applied to sequential coverage analysis of steady-state means, in simulations of the M/M/1/$\infty$ and W/D/l/$\infty$ queueing systems on a single processor and multiple processors.

An Efficient Traning of Multilayer Neural Newtorks Using Stochastic Approximation and Conjugate Gradient Method (확률적 근사법과 공액기울기법을 이용한 다층신경망의 효율적인 학습)

  • 조용현
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.5
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    • pp.98-106
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    • 1998
  • This paper proposes an efficient learning algorithm for improving the training performance of the neural network. The proposed method improves the training performance by applying the backpropagation algorithm of a global optimization method which is a hybrid of a stochastic approximation and a conjugate gradient method. The approximate initial point for f a ~gtl obal optimization is estimated first by applying the stochastic approximation, and then the conjugate gradient method, which is the fast gradient descent method, is applied for a high speed optimization. The proposed method has been applied to the parity checking and the pattern classification, and the simulation results show that the performance of the proposed method is superior to those of the conventional backpropagation and the backpropagation algorithm which is a hyhrid of the stochastic approximation and steepest descent method.

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Design Optimization of an Offshore Structure based on Approximation Techniques (근사화 기법 기반 해양구조물의 설계 최적화)

  • Shim, Chun-Sik;Song, Chang-Yong
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.689-692
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    • 2011
  • 본 논문에서는 해양작업 상태의 하중조건을 고려한 부유식 원유생산 저장 하역 장치에 설치된 라이져 보강구조의 강도설계에 관련하여 다양한 근사화 기법 기반 설계 최적화 및 그 성능을 비교하고자 한다. 설계 최적화 문제는 하중조건별 구조강도의 제한조건 하에서 중량을 최소화하여 설계변수인 구조 부재치수가 결정되도록 정식화 된다. 비교 연구를 위해 사용된 근사화 기법은 반응표면법 기반 순차적 근사최적화(RBSAO), 크리깅 기반 순차적 근사최적화(KBSAO), 그리고 개선된 이동최소자승법(MLSM) 기반 근사최적화 기법인 CF-MLSM와 Post-MLSM이다. 본 연구에 적용한 MLSM 기반 근사최적화 기법들은 제한조건의 가용성을 보장할 수 있도록 새롭게 개발되었다. 다양한 근사화 모델 기반 설계 최적화 기법에 의한 결과는 설계 해의 개선 및 수렴속도 등의 수치적 성능을 기준으로 실제 비근사 설계최적화 결과와 비교검토 하였다.

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자기회귀계수에 대한 소표본 점근추론

  • Na, Jong-Hwa;Kim, Jeong-Suk;Jang, Yeong-Mi
    • Proceedings of the Korean Statistical Society Conference
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    • 2005.05a
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    • pp.209-213
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    • 2005
  • 본 논문에서는 1차 자기회귀모형에서 자기회귀계수에 대한 여러 가지 추정량들의 분포함수에 대한 근사적추론 방법에 대해 연구하였다. 이차형식에 대한 안장점근사의 결과를 이용한 이 근사법은 여러 형태의 추정량들에 대해 근사분포의 유도과정이 불필요하며, 소표본은 물론 통계적 추론의 주요 관심영역에서의 근사정도가 매우 뛰어난 장점을 가지고 있다. 모의실험을 통해 Edgeworth근사를 비롯한 기존의 여러 근사법보다 효율이 뛰어남을 확인하였다.

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Hull Form Representation using a Hybrid Curve Approximation (혼합 곡선 근사법을 이용한 선형 표현)

  • Hyun-Cheol Kim;Kyung-Sun Lee;Soo-Young Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.35 no.4
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    • pp.118-125
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    • 1998
  • This paper presents the hybrid curve approximation with geometric boundary conditions as position vector and tangent vector of start and end point using a B-spline approximation and a genetic algorithm First, H-spline approximation generates control points to fit B-spline curries through specified data points. Second, these control points are modified by genetic algorithm(with floating point representation) under geometric boundary conditions. This method would be able to execute the efficient design work without fairing.

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Derivation of Coherent Reflection Coefficient at Mid and Low Frequency for a Rough Surface (불규칙 경계면에 대한 중저주파수 간섭 반사 계수 유도)

  • Chu, Young-Min;Seong, Woo-Jae;Byun, Sung-Hoon;Kim, Sea-Moon
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.3
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    • pp.174-186
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    • 2009
  • When we apply a propagation model to the ocean with boundaries, we can calculate reflected wave using reflection coefficient suggested by Rayleigh assuming the boundaries are flat. But boundaries in ocean such as sea surface and sea bottom have an irregular rough surface. To calculate the reflection loss for an irregular boundary, it is needed to compute the coherent reflection coefficient based on an experimental formula or scattering theory. In this article, we derive the coherent reflection coefficients for a fluid-fluid interface using perturbation theory, Kirchhoff approximation and small-slope approximation respectively. Based on each formula, we can calculate coherent reflection coefficients for a rough sea surface or sea bottom, and then compare them to the Rayleigh reflection coefficient to analyze the reflection loss for a random rough surface. In general, the coherent reflection coefficient based on small-slope approximation has a wide valid region. Comparing it with the coherent reflection coefficients derived from the Kirchhoff approximation and perturbation theory, we discuss a valid region of them.

Small Sample Asymptotic Inferences for Autoregressive Coefficients via Saddlepoint Approximation (안장점근사를 이용한 자기회귀계수에 대한 소표본 점근추론)

  • Na, Jong-Hwa;Kim, Jeong-Sook
    • The Korean Journal of Applied Statistics
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    • v.20 no.1
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    • pp.103-115
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    • 2007
  • In this paper we studied the small sample asymptotic inference for the autoregressive coefficient in AR(1) model. Based on saddlepoint approximations to the distribution of quadratic forms, we suggest a new approximation to the distribution of the estimators of the noncircular autoregressive coefficients. Simulation results show that the suggested methods are very accurate even in the small sample sizes and extreme tail area.