• Proceedings of the Korean Magnestics Society Conference
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• 2011.12a
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• pp.159-161
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• 2011

• Proceedings of the Korean Magnestics Society Conference
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• 2012.05a
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• pp.123-124
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• 2012

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.21 no.6
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• pp.610-616
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• 2010

In this paper, particle swarm optimization(PSO) is applied for the design of frequency selective surface based artificial magnetic conductor. An equivalent circuit model for this artificial magnetic conductor(AMC) with Jerusalem Cross arrays was derived and then PSO was applied for obtaining the optimized geometrical parameters with desired resonant frequency. The resonant frequency and the reflection phase characteristics from the optimization were compared to the results from commercial software for verifying the validity of this paper. The procedure presented in this paper can be applied to design the AMC with different frequency selective surface and also can be used for the design of microwave circuits like the AMC ground planes.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.239-245
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• 2012

This paper proposes a novel optimum design method for the PID controller of magnetic levitation-based Rail-Guided Vehicle(RGV) by a genetic algorithm using clone selection method and a new performance index function with performances of both time and frequency domain. Generally, since an attraction type levitation system is intrinsically unstable and requires a delicate controller that is designed considering overshoot and settling time, it is difficult to completely satisfy the desired performance through the methods designed by conventional performance indexes. In the paper, the conventional performance indexes are analyzed and then a new performance index for Maglev-based RGV is proposed. Also, an advanced genetic algorithm which is designed using clonal selection algorithm for performance improvement is proposed. To verify the proposed algorithm and the performance index, we compare the proposed method with a simple genetic algorithm and particle swarm optimization. The simulation results show that the proposed method is more effective than conventional optimization methods.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.288-291
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• 2004

기존의 SOFPNN은 데이터 수가 적고 비선형 요소가 많은 시스템에 대한 체계적이고 효율적인 최적 모델 을 구축할 수 있었으며 각 층 노드의 선택 입력을 변화시킴으로써 네트워크 구조 전체의 적응능력을 향상 시켰다. SOFPNN의 구조는 퍼지 다항식 뉴론(FPN)들로 구성되어 있으며, 층이 진행하는 동안 모델 스스로 노드의 선택과 제거를 통해 최적의 네트워크 구조를 생성할 수 있는 유연성을 가지고 있다. 그러나, 노드의 입력변수의 수와 규칙 후반부 다항식 차수 그리고 입력변수는 설계자의 경험 또는 반복적인 학습을 통해 선호된 네트워크 구조를 선택하였으나, 최적의 네트워크 구조를 구축하는데는 어려옴이 내재되어 있었다. 본 논문에서는 자기구성 퍼지 다항식 뉴럴네트워크(Self-Organizing Fuzzy Polynomial Neural Networks： SOFPNN)을 최적화시키기 위해 유전자 알고리즘을 이용하여 자기구성 퍼지 다항식 뉴럴 네트워크의 입력변수의 수와 이에 해당되는 입력변수 그리고 규칙 후반부 다항식의 차수를 탐색하여 최적 의 자기구성 퍼지 다항식 뉴럴 네트워크를 구축한다. 따라서 모델 구축에 있어서 유연성과 정확성을 가지며 객관적이고 좀 더 정확한 예측 능력을 가진 SOFPNN 모델 구조를 구축할 수가 있다.

• Journal of Biosystems Engineering
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• v.24 no.6
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• pp.523-530
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• 1999

자기공명영상 (MRI)기법은 최근에 그의 이용 분야가 식품공학 및 농학 분야까지 확대되고 있다. 이 연구에서는 MRI의 기본 원리를 알아보고 어떤 요인들이 자기공명영상의 명암을 결정하는지 알아 보았다. MRI를 이용하여 비파괴적인 방법으로 농축산물의 내부 구조 영상을 얻고 이로부터 토마토의 내부 공동, 감자의 공동병, 사과와 파파야의 멍, 버찌씨의 유무, 망고와 감자의 벌레에 의한 손상, 망고와 마늘의 내부 결함, 키위의 성숙도에 따른 변화, 그리고 소고기의 내부 구조 둥을 판별할 수 있음을 알아 보았으며 농축산물의 품질을 결정짓는 이러한 내부 요인들이 어떻게 자기공명영상을 형성하는지 알아 보았다. 대상 시료에 따라 적당한 자기공명영상 인자(TR과 TE)를 선택하여야 한다. 또한 특정 인자를 강조하기 위해서는 최적의 자기공명영상 인자를 선택하여야 한다.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.27-39
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• 2016

This paper considers variable selection in the sparse vector autoregressive (sVAR) model where sparsity comes from setting small coefficients to exact zeros. In the estimation perspective, Davis et al. (2015) showed that the lasso type of regularization method is successful because it provides a simultaneous variable selection and parameter estimation even for time series data. However, their simulations study reports that the regular lasso overestimates the number of non-zero coefficients, hence its finite sample performance needs improvements. In this article, we show that the adaptive lasso significantly improves the performance where the adaptive lasso finds the sparsity patterns superior to the regular lasso. Some tuning parameter selections in the adaptive lasso are also discussed from the simulations study.

• Journal of Labour Economics
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• v.42 no.2
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• pp.37-62
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• 2019

We investigate the type of self-selection arising in college transfer in Korea, and then estimate the returns to additional college education gained through transfers from junior colleges to four-year colleges or universities. In this paper, we show that academic transfer is consistent with a positive selection hypothesis, in a sense that students with characteristics correlated positively to productivity are more likely to transfer to four-year colleges from junior colleges. These empirical results also meet an underlying dispersion condition. In addition, we find that the transferred would make a statistically significant return to additional college education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.567-569
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• 2017

This is an example of ABSTRACT format Free-choice activity is child-directed time that young children decide to planning and acting for themselves.It is important time for young children to communicate freely with peers and activities through self-selecting, self-motivated and self-directed activity.Teachers want to maintain connectivity with young children and to work on specific learning goals and supporting friendships and modeling social skills and to make young children feel comfortable to explore in the classroom.However it is hard to gathering information about all children's activities fully by 1 teacher within limited class time and teaching environment.This study was conducted to monitoring system of free-choice activity and time selected by young children that make teachers to analysis the young children's activities effectively using NFC tags.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.367-374
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• 2020

This study identified the effects of self-efficacy and social support on university life adaptation of male nursing college students. A survey of 200 male nursing college students was conducted. There was a positive correlation between self-efficacy and social support, self-efficacy and college life adaptation, and social support and university life adaptation. Self-efficacy differed between major choice subjects and major satisfaction, social support differed significantly in military service, major choice subjects, and major satisfaction, and college life adaptation differed significantly in major choice subjects, major choice motivation, and major satisfaction. The application of social support and self-efficacy enhancement programs reflecting the characteristics of male nursing college students and continuous research with various variables are needed.