• Journal of Institute of Control, Robotics and Systems
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• v.11 no.4
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• pp.271-278
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• 2005

In this paper, we present an adaptive observer for multi-output nonlinear systems that include unknown constant parameters and are not necessarily observable. Based on generalized nonlinear observer canonical form, new adaptive observer canonical form is proposed. Sufficient conditions are given for a nonlinear system to be transformed into the proposed adaptive observer canonical form. The existence of the proposed adaptive observer is given in terms of Lyapunov-like condition and SPR condition. An illustrative example is presented to show the design procedure of the proposed method.

• Journal of Korea Water Resources Association
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• v.43 no.2
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• pp.187-199
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• 2010

This study evaluated applicability and confidence of probability rainfalls estimated by the non-stationary rainfall frequency analysis which was recently developed. Using rainfall data at 4 sites which have an obvious increasing trend in observations, we estimated 3 type probability rainfalls; probability rainfalls from stationary rainfall frequency analysis using data from 1973-1997, probability rainfalls from stationary rainfall frequency analysis using data from 1973-2006, probability rainfalls from non-stationary rainfall frequency analysis assuming that the current year is 1997 and the target year is 2006. Based on the comparison of residuals from 3 probability rainfalls, the non-stationary rainfall frequency analysis provided more effective and well-directed estimates of probability rainfalls in the target year. Using Bootstrap resampling, this study also evaluated the parameter estimation methods for the non-stationary rainfall frequency analysis based on confidence intervals. The confidence interval length estimated by the maximum likelihood estimation (MLE) is narrower than the probability weighted moments (PWM). The results indicated that MLE provides more proper confidence than PWM for non-stationary probability rainfalls.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2018.06a
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• pp.83-83
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• 2018

최근 의료, 보건, 헬스케어 분야에 대한 관심이 증가함에 따라 질병의 조기 진단 연구가 각광 받고 있다. 특히 표면증강 라만 산란 (Surface Enhancement Raman scattering)은 고분자 검출을 위해 가장 유용한 물리 화학적 기법으로 SERS를 활용한 특정물질 검출 기술 개발에 대한 연구가 많이 이루어지고 있다. 나노구조의 국부적 표면 플라즈몬의 공명조건 (Surface Plasmon Resonance, SPR)으로 유도된 전자기장은 우수한 SERS 신호를 나타낸다. 따라서 표면 플라즈몬 공명 효과는 귀금속 나노입자의 종류, 크기 및 형태, 기판의 형상 및 구조 등에 의해서 달라지게 되므로 이들을 조절하여 보다 민감한 SERS 신호를 얻을 수 있다. 본 연구에서는 고감도 SERS-Active 기판을 제작하기 위해 SERS 기판 표면의 나노구조를 최적화 하였다. SERS 기판 표면을 제어하기 위해 공정파워, 공정압력, 기판의 온도 등의 증착공정 변수에 변화를 주어 표면의 나노구조를 형성하였다. 이를 분석하기 위해 SEM 분석을 통해 피라미드형 실리콘 기판 표면의 Au 나노구조 금속 박막을 확인하였고, XRD를 이용하여 결정성 및 결정크기를 확인하였다. Rhodamine 6G를 이용한 라만 분석을 통해 SERS 신호의 강도를 알 수 있었다. 금속 나노구조의 형태, 온도 제어를 통해 SERS 신호강도가 우수한 나노구조 기판을 제조 할 수 있었다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.5
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• pp.533-541
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• 2007

The Zienkiewicz-Zhu(Z/Z) error estimate is slightly modified for the hierarchical p-refinement, and is then applied to L-shaped plates subjected to bending to demonstrate its effectiveness. An adaptive procedure in finite element analysis is presented by p-refinement of meshes in conjunction with a posteriori error estimator that is based on the superconvergent patch recovery(SPR) technique. The modified Z/Z error estimate p-refinement is different from the conventional approach because the high order shape functions based on integrals of Legendre polynomials are used to interpolate displacements within an element, on the other hand, the same order of basis function based on Pascal's triangle tree is also used to interpolate recovered stresses. The least-square method is used to fit a polynomial to the stresses computed at the sampling points. The strategy of finding a nearly optimal distribution of polynomial degrees on a fixed finite element mesh is discussed such that a particular element has to be refined automatically to obtain an acceptable level of accuracy by increasing p-levels non-uniformly or selectively. It is noted that the error decreases rapidly with an increase in the number of degrees of freedom and the sequences of p-distributions obtained by the proposed error indicator closely follow the optimal trajectory.