• Geophysics and Geophysical Exploration
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• v.25 no.3
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• pp.99-108
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• 2022

Among induced polarization (IP) methods, spectral IP (SIP) uses alternating current as a transmission source to measure amplitudes and phase of complex electrical resistivity at each source frequency, which disperse with respect to source frequencies. The frequency dependence, which can be explained by a relaxation model such as Cole-Cole model or equivalent models, is analyzed to estimate SIP parameters from dispersion curves of complex resistivity employing multi-objective optimization (MOO). The estimation uses a generic algorithm to optimize two objective functions minimizing data misfits of amplitude and phase based on Cole-Cole model, which is most widely used to explain IP relaxation effects. The MOO-based estimation properly recovered Cole-Cole model parameters for synthetic examples but hardly fitted for the real laboratory measures ones, which have relatively smaller values of phases (less than about 10 mrad). Discrepancies between scales for data misfits of amplitude and phase, used as parameters of MOO method, and it is in necessity to employ other methods such as machine learning, which can deal with the discrepancies, to estimate SIP parameters from dispersion curves of complex resistivity.

• Proceedings of the Optical Society of Korea Conference
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• 2002.07a
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• pp.30-31
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• 2002

하나의 구동기를 작동하여 거울을 변형시킬 때, 변형된 거울면의 형태를 영향 함수(influence function)라고 정의하며, 이러한 영향 함수를 이용하여 적응 광학계의 주요한 광학 요소인 변형 거울을 효과적으로 모형화하고 설계할 수 있다. 본 논문에서는 유한요소해석을 이용하여 계산된 변형 거울의 실제 영향 함수를 가우시안 함수(Gaussian function) 형태로 단순화하고, 추가로 구동기들 사이의 영향을 고려한 커플링 계수(coupling coefficient)를 도입하여, 주어진 구동기 배열에 대한 영향 함수를 결정하였다. (중략)

• Journal of the Korean Magnetics Society
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• v.22 no.3
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• pp.73-78
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• 2012

We calculated the electron spin resonance (ESR) line-profile function. The line-width of single-walled carbon nanotube (SWNT) was studied as a function of the temperature at a frequency of 9.5 GHz in the presence of external electromagnetic radiation. The temperature dependence of the line-widths is obtained with the projection operator method (POM) proposed by Argyres and Sigel. The scattering is little affected in the low-temperature region (T < 200 K). We conclude that the calculation process presented in this method is useful for optical transitions in SWNT.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.9
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• pp.817-821
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• 2001

In this paper, a new learning methodology for kernel methods that results in a sparse representation of kernel space from the training patterns for classification problems is suggested. Among the traditional algorithms of linear discriminant function, this paper shows that the relaxation procedure can obtain the maximum margin separating hyperplane of linearly separable pattern classification problem as SVM(Support Vector Machine) classifier does. The original relaxation method gives only the necessary condition of SV patterns. We suggest the sufficient condition to identify the SV patterns in the learning epoches. For sequential learning of kernel methods, extended SVM and kernel discriminant function are defined. Systematic derivation of learning algorithm is introduced. Experiment results show the new methods have the higher or equivalent performance compared to the conventional approach.

• Computational Structural Engineering
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• v.7 no.2
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• pp.69-75
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• 1994

The procedure for the stress and displacement analysis of realistic viscoelastic materials by time domain boundary element method(BEM) has been discussed. The fundamental solutions and stress kernels have been obtained using the elastic-viscoelastic correspondence principle. The relaxation function is expanded in a sum of exponentials and the transformed fundamental solutions and stress kernels are inverted numerically into real time space. The proposed procedure requires a small computational effort and it is applicable in time domain boundary element analysis of realistic viscoelastic problems. Numerical results of example problem show the effectiveness and applicability of the proposed method.

• Journal of Korean Society of Transportation
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• v.2 no.1
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• pp.17-31
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• 1984

공항의 용량측정은 수요군의 흐름에서 발생하는 소비시간분석을 요구하며 공항체계 의 대부분 시설에서는 흐름의 시간변위를 연속대기례에 의한 비효율적방법으로 예측할수도 있으나 청사내의 여객동선에 대해서는 여러 시설을 활용하려는 여객의 선택선호로 인하여 확률적 접근이 바람직하다. 본 논문은 공항의 청사내에서 부대시설에 의하여 소비되는 여객 의 이완시간을 예측하는 모형을 개발하였다. 총이완시간은 여객이 각 시설을 이용하는 확률 과 이용시간의 기대치에 대한 함수로서 계산되었으며 정상적인 여객의 동선이 이들 시설에 의하여 영향을 받을 경우에만 정의되도록 하였다. 이 이완도는 연속된 청사의 기능시설에 대한 여객동선분포의 입력과 출력을 설명하는데 쓰이게 되며 나아가서는 청사전반의 용량산 정을 위한 지표를 제공한다. 모형 검증을 위한 자료는 매표대와 보안검사대 사이의 부대시 설을 중심으로 수집되었으며 자료의 특성과 모형의 심요성이 논의되었다.

• Investigative Magnetic Resonance Imaging
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• v.6 no.2
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• pp.137-146
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• 2002

Purpose : This paper introduces an improved classification approach which adopts a deterministic relaxation method and an agglomerative clustering technique for the classification of MRI using neural network. The proposed approach can solve the problems of convergency to local optima and computational burden caused by a large number of input patterns when a neural network is used for image classification. Materials and methods : Application of Hopfield neural network has been solving various optimization problems. However, major problem of mapping an image classification problem into a neural network is that network is opt to converge to local optima and its convergency toward the global solution with a standard stochastic relaxation spends much time. Therefore, to avoid local solutions and to achieve fast convergency toward a global optimization, we adopt MFA to a Hopfield network during the classification. MFA replaces the stochastic nature of simulated annealing method with a set of deterministic update rules that act on the average value of the variable. By minimizing averages, it is possible to converge to an equilibrium state considerably faster than standard simulated annealing method. Moreover, the proposed agglomerative clustering algorithm which determines the underlying clusters of the image provides initial input values of Hopfield neural network. Results : The proposed approach which uses agglomerative clustering and deterministic relaxation approach resolves the problem of local optimization and achieves fast convergency toward a global optimization when a neural network is used for MRI classification. Conclusion : In this paper, we introduce a new paradigm to classify MRI using clustering analysis and deterministic relaxation for neural network to improve the classification results.

• Journal of Korean Society of Disaster and Security
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• v.10 no.1
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• pp.47-53
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• 2017

Accurate exploration of the risk factors of the ground subsidence is needed to predict and evaluate the subsidence of the surrounding ground due to the excavation of the ground. In this study, we analyzed the distribution of soil relaxation area by analyzing the behavior around the ground excavation site and simulated the GPR exploration under various conditions. As a result, Although there are some differences according to the water content, distribution of the strata and the distribution of the relaxation region were confirmed in the unsaturated soil, and it was found that there was a difficulty in the GPR exploration in the saturated soil.

• Journal of the Korean Chemical Society
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• v.36 no.1
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• pp.33-37
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• 1992

Information about $^{14}N$ relaxation rates is obtained for thioacetamide (TA) in acetone from a detailed line-shape analysis of the $^1H$ resonance signal of $NH_2$ group. The effect of pressure and of temperature were investigated, and activation energies for molecular reorientation are given. And also $^1H$ relaxation rates of $NH_2$ group of TA as a function of pressure and temperature are obtained. These results are discussed with the results for the $^{14}N$ relaxation of amine group.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.86-89
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• 2002

본 연구는 객관적인 생리 신호로부터 인간의 감성을 추론할 수 있는 감성 평가 전문가 시스템을 개발하기 위한 첫 번째 단계로, 측정된 생리 신호를 이용하여 인간의 긴장도를 판단하는 알고리즘의 개발이 목표이다. 감성 평가에 관련된 애매함을 수리적으로 취급하기 위해 퍼지 이론을 적용하여 임의의 감성 영역에 속하는 정도를 소속 함수로 정량화 함으로써 감성 평가를 가능하게 하고자 하였다 소속 함수의 결정은 상상을 통해 유발된 긴장/이완의 생리 신호 데이터 베이스 결과를 사용하였다. 그리고 두 가지 이상의 생리 신호 측정 결과와 각 생리 신호의 소속 함수로부터 하나의 최종 결과 (긴장도)를 유추하기 위해서 Dempster-Shafer 증거합 법칙을 적용하였고, 이를 통해 최종적인 긴장도를 도출할 수 있도록 하였다.