• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.10-18
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• 2010

This paper presents a optimization of sigmoid activation function parameter using genetic algorithms and pattern recognition analysis in input space of two spirals benchmark problem. To experiment, cascade correlation learning algorithm is used. In the first experiment, normal sigmoid activation function is used to analyze the pattern classification in input space of the two spirals problem. In the second experiment, sigmoid activation functions using different fixed values of the parameters are composed of 8 pools. In the third experiment, displacement of the sigmoid function to determine the value of the three parameters is obtained using genetic algorithms. The parameter values applied to the sigmoid activation functions for candidate neurons are used. To evaluate the performance of these algorithms, each step of the training input pattern classification shows the shape of the two spirals.

• The Journal of the Acoustical Society of Korea
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• v.16 no.3
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• pp.99-105
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• 1997

This paper analyzes DLL(Delay lock loop) under the multipath fading effects. The evaluated performance measures include the steady-state timing error probability density function (PDF) and the mean-time-to-lose-lock (MTLL) under multipath fading effects. The discriminator characteristic S(${\epsilon}$) is shown to be zero at the point of timing error ${\epsilon}_{0}$ that is not zero, and the MTLL decreases as the delayed signal power $g_{2}$ and delayed time ${\tau}_{d}$ increase. We approximate the steady-state timing error PDF linearly with these variables and evaluate the steady-state timing error PDF and MTLL. The severe multipath fading effects result lower MTLL, in this case we make MTLL larger by increasing the early-late discriminator offset ${\Delta}$. First, we calculate the timing error point ${\epsilon}_{0}$, and present the performance of DLL under multipath fading. The timing error PDF, MTLL and the performance of DLL with ${\Delta}$ are also investigated. And we conclude that the larger ${\Delta}$ makes a higher MTLL and a better performance of DLL under multipath fading effects.

• Journal of the Korean Geotechnical Society
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• v.33 no.4
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• pp.25-34
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• 2017

The soil-water characteristics is the most important state parameter for understanding changes in suction and water contents of unsaturated soil slopes. In the field, the hysteretic behaviors of drying and wetting soil-water characteristic curve are real and the adoption of path-dependent suction-water content is needed to predict the hydro-mechanical analysis of unsaturated soils. In this study, in-situ monitored hydraulic behavior of various soil slopes are compared with the data from numerical analysis with the laboratory soil water characteristic curve. Then, the verifications are performed based on the field monitored data respectively. Therefore, the use of path-dependent soil-water characteristic curves could be more rational for design and analysis of unsaturated soil slopes under rainfall conditions.

• The Journal of Engineering Geology
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• v.18 no.3
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• pp.311-319
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• 2008

Evaluation of an amplitude domain reflectometry (ADR) type soil moisture sensor as ThetaProbe ML2x using the response of frequency impedance was performed in a variety of soil porous media such as Jumunjin standard sand, weathered granite soil at Sangju area, and weathered gneiss soil at Jangsu area. The tested soils were classified with a dried condition and a wetted condition for comparing with soil volumetric water content under different installed depths of the measurement sensor. In the results the part of measurement rod including one signal rod and three shield rod 6cm in length was found to decrease the variation of measurement output voltage with insert 5cm over into the soil porous media. The measurement output voltage was verified to more stable output voltage under weathered granite soils and weathered gneiss soils contained the fine grain materials such as clay and silt minerals than the gradual grain material like as the standard sands. Therefore, measurement values by soil moisture sensor can be offered the more stable values when an contact volume between soil porous media and measurement sensor increase.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.49 no.7
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• pp.32-38
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• 2012

In this paper, to eliminate intersymbol interference of the received signal due to multipath propagation, a parallel equalization algorithm using two error estimation functions is proposed. In the proposed algorithm, multilevel two-dimensional signals are considered as equivalent binary signals, then error signals are estimated using the sigmoid nonlinearity effective at the initial phase equalization and threshold nonlinearity with high steady-state performance. The two errors are scaled by a weight depending on the relative accuracy of the two error estimations, then two filters are updated differentially. As a result, the combined output of two filters was to be the optimum value, fast convergence at initial stage of equalization and low steady-state error level were achieved at the same time thanks to the combining effect of two operation modes smoothly. Usefulness of the proposed algorithm was verified and compared with the conventional method through computer simulations.

• Journal of Korea Water Resources Association
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• v.32 no.6
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• pp.731-740
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• 1999

Autocorrelation function is widely used as a tool measuring linear dependence of hydrologic time series. However, it may not be appropriate for choosing decorrelation time or delay time ${\tau}_d$ which is essential in nonlinear dynamics domain and the mutual information have recommended for measuring nonlinear dependence of time series. Furthermore, some researchers have suggested that one should not choose a fixed delay time ${\tau}_d$ but, rather, one should choose an appropriate value for the delay time window ${\tau}_d={\tau}(m-1)$, which is the total time spanned by the components of each embedded point for the analysis of chaotic dynamics. Unfortunately, the delay time window cannot be estimated using the autocorrelation function or the mutual information. Basically, the delay time window is the optimal time for independence of time series and the delay time is the first locally optimal time. In this study, we estimate general dependence of hydrologic time series using the C-C method which can estimate both the delay time and the delay time window and the results may give us whether hydrologic time series depends on its linear or nonlinear characteristics which are very important for modeling and forecasting of underlying system.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.7
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• pp.1341-1350
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• 1992

This paper addresses the practical problem of finding a useful strain energy function of the incompressible rubberlike materials. It examines methods by which the form of the functions are determined and shows how the selection of experimental data influences the resulting form of the functions. From this information, an optimal choice of the form of energy functions becomes possible. Phenomenological theories used in this paper are limited to elastic, incompressible material models. Due to the nature of the phenomenological methods, these theories are accurate only for the materials treated. However, they serve as a starting basis for the study of more complicated material behaviors.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.749-754
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• 2005

본 연구에서는 한 개의 침투 조절 요소, 두 개의 직렬탱크 및 한 개의 병렬 탱크로 구성된 개선된 형태의 TANK 모형을 제시하였다. 침투는 강우의 형태로 유역에 공급되는 물의 분배를 결정하는 과정으로서, 이를 적절히 고려할 수 있는지의 여부가 강우-유출 모형의 유효성을 판단하는 기준이 된다고 해도 과언이 아니다. 따라서 본 연구에서는 구조가 비교적 단순하고 사용이 간편하여 기존에 널리 사용되어 오던 개념적 모형인 TANK 모형에 침투 조절 요소를 도입하여 보다 합리적으로 강우-침투-유출 과정을 모의하고 해석하고자 노력하였다. 이를 통해 단순히 시간의 함수가 아닌 토양 함수량의 함수로서 침투능의 변화를 고려할 수 있으며, 유역 유출의 각 성분(지표면 유출, 중간 유출, 지하수 유출)에 영향을 미치는 모형의 매개변수에 물리적 의미를 더욱 부여할 수 있다. 또한 침투 조절 요소의 매개변수 산정을 위해 선행 강우 지수(Antecedent Precipitation Index)를 이용하였으며, 이를 통해 토양 선행 함수 상태의 고려가 가능하다. 또한 본 연구에서는 모형의 매개변수 최적화를 위해 실수 코딩 유전 알고리즘(Real Coded Genetic Algorithm)을 사용하였으며, 모형의 적용성과 유효성 검증을 위해 IHP 연구 유역인 평창강 방림 유역을 대상유역으로 하여 이 유역의 실측 호우 사상을 사용하였다. 결과적으로 계산된 수문곡선은 관측치에 비교적 잘 일치하며, 단일 호우와 복합 호우 사상 모두에 대해 비교적 양호한 결과를 나타내었다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.38 no.5
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• pp.1-6
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• 2001

In this paper, we propose the initial optimized structure of the Radial Basis Function Network(RBFN) which is more simple in the part of the structure and converges more faster than Neural Network. For this, we use the analysis method using time frequency localization and we can decide the initial structure of the RBFN suitable for the given problem. When we compose the hidden nodes with the radial basis functions whose localization are similar with the target function in the plane of the time and frequency, we can make a good decision of the initial structure having an ability of approximation.

• Proceeding of EDISON Challenge
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• 2014.03a
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• pp.53-61
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• 2014

온실가스 증가로 인한 지구온난화 문제가 범세계적인 문제로 대두되고 있는 가운데, 특히 온실가스 중 약 76%이상을 차지하는 이산화탄소를 흡수하기 위한 흡수제 개발에 여러 국가들이 심혈을 기울이고 있다. 그 중 이산화탄소 흡수제로 가장 상용화 되어 있는 모노에탄올아민(monoethanolamine, MEA)은 분자량이 작아 몰 농도비에 따른 이산화탄소의 흡수에 유리하고 반응속도가 빠르다는 장점이 있으나, 재생에 필요한 에너지가 높다는 단점이 존재한다. 수용액중에서 MEA가 $CO_2$를 흡수하는 반응의 반응자유에너지는 반응메카니즘을 이해하는데 가장 기본적인 도구이다. 본 연구에서는 B3LYP, M06-2X의 밀도범함수를 이용하여 MEA의 $CO_2$ 흡수반응의 반응자유에너지를 계산하는 계산모델을 선정하였다. 수용액에서 MEA가 $CO_2$를 흡수하는 반응의 반응자유에너지를 밀도범함수를 이용하여 계산할 때는, 수용액상태에서 화학종의 분자구조를 최적화하는 것이 필요하였다. 또한 M06-2X 밀도범함수가 B3LYP 밀도범함수보다 좋은 결과를 주었으며, 분산보정을 하는 것이 보다 좋은 결과를 주었다.