• 한국콘텐츠학회논문지
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• 제2권2호
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• pp.1-9
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• 2002

본 논문에서는 웹 기반 자기 주도적 학습을 위한 시스템을 설계하였다. 시스템 설계를 위해 먼저, 웹 기반의 자기 주도적 학습에서 활용되는 교수 학습 과정안을 탐색하였다. 그리 그 교수학습 과정안을 웹 기반의 공간에서 수행하는데 필요한 시스템의 요구 사항을 파악하고 그 요구 사항에 적절한 시스템을 설계하였다. 또한, 설계한 시스템을 적절하게 운영할 수 있는 방안을 모색하여 학습의 효과를 높일 수 있도록 하였다. 본 논문에서 설계한 웹 기반 자기 주도적 학습 시스템을 방과 후, 방학, 현장 학습 등에 적절히 활용할 경우 교수 학습에 효과가 클 것으로 기대된다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.401-402
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• 2007

In this paper, we propose an automatic method to finding corresponding points. One 2D image can be changed 3D shape by 3D model. The main idea is using gabor wavelet values from 3D model. And Elastic Bunch Graph Matching algorithm is more stable in 3D model.

• 전기학회논문지
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• 제66권6호
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• pp.927-934
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• 2017

This paper is concerned with applicability of two-degree-of-freedom controllers to the recently suggested i-PID controllers, in which unknown parts of the plant are taken into account without any modeling procedure. First, i-PID controller with two-degree-of-freedom is applied to a specific model, called Anisochronic model, to confirm the usefulness of this method. Second, using the original examples of i-PID controllers, it is confirmed that performance/robustness of system are to be improved due to two-degree-of-freedom, especially when the input changes suddenly. It is seen that as the desired robustness increases the optimal value of two-degree-of-freedom parameter ${\alpha}_A$ would be negative. It is checked and verified that if this value was limited to 1 or less as is generally known, performance would be degraded.

• Korean Journal of Mathematics
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• 제13권2호
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• pp.149-159
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• 2005

We study an age-dependent s-i-s epidemic model with spatial diffusion. The model equations are described by a nonlinear and nonlocal system of integro-differential equations. Finite difference methods along the characteristics in age-time domain combined with finite elements in the spatial variable are applied to approximate the solution of the model. Stability of the discrete periodic solution is investigated.

• Communications for Statistical Applications and Methods
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• 제12권3호
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• pp.545-556
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• 2005

Hjort(1990) obtained the nonparametric Bayes estimator $\^{F}_{c,a}$ of $F_0$ with respect to beta processes in the random censorship model. Let $X_1,{\cdots},X_n$ be i.i.d. $F_0$ and let $C_1,{\cdot},\;C_n$ be i.i.d. G. Assume that $F_0$ and G are continuous. This paper shows that {$\^{F}_{c,a}$(u){\|}0 < u < T} converges weakly to a Gaussian process whenever T < $\infty$ and $\~{F}_0({\tau})\;<\;1$.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.70.2-70
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• 2001

This paper presents an application model for home automation control. In this work, we propose home application scenarios that are suitable for the home life style and design a control structure integrating various home automation functions, such as lightning, heating, cooling, security, fire protection, telemetering, entertainment and communication. State-of-the-art wired/wireless home networks such as Bluetooth, LonWorks, IEEE1394 and PLC(Power Line Communication) are included in the control structure.

• 한국지리정보학회지
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• 제9권3호
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• pp.123-135
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• 2006

본 연구에서는 기존에 개발된 지형 보간기법의 정확도와 효율성을 극대화하기 위해 프랙탈 기법을 적용하여 소량의 기지 지형정보로도 대상지역의 자연지형이 가지는 불규칙성을 재현하여 보다 실제지형에 가까운 지형정보를 생성할 수 있는 FEDISA 모형을 개발하였다. 또한 모형의 적합성 및 효용성을 검토하기 위한 도구로 경사도 범위지수 $I_{SR}$, 표면적 지수 $I_{SA}$, 체적 지수 $I_V$를 개발하였으며, 모형의 적용 대상면적을 $75m{\times}75m$, $150m{\times}150m$, $300m{\times}300m$, $600m{\times}600m$, $1,200m{\times}1,200m$ 등으로 다양하게 설정하여 기존의 보간 기법 및 FEDISA 모형에 의한 계산 결과와 실측자료에 대해 비교 검토를 통하여 FEDISA 모형의 효용성과 적합성을 제시하였다.

• The Plant Pathology Journal
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• 제35권6호
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• pp.585-597
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• 2019

A disease forecast model for Marssonina blotch of apple was developed based on field observations on airborne spore catches, weather conditions, and disease incidence in 2013 and 2015. The model consisted of the airborne spore model (ASM) and the daily infection rate model (IRM). It was found that more than 80% of airborne spore catches for the experiment period was made during the spore liberation period (SLP), which is the period of days of a rain event plus the following 2 days. Of 13 rain-related weather variables, number of rainy days with rainfall ≥ 0.5 mm per day (L_day), maximum hourly rainfall (P_max) and average daily maximum wind speed (W_avg) during a rain event were most appropriate in describing variations in airborne spore catches during SLP (S_i) in 2013. The ASM, Ŝ_i = 30.280+5.860×L_day×P_max-2.123×L_day×P_max×W_avg was statistically significant and capable of predicting the amount of airborne spore catches during SLP in 2015. Assuming that airborne conidia liberated during SLP cause leaf infections resulting in symptom appearance after 21 days of incubation period, there was highly significant correlation between the estimated amount of airborne spore catches (Ŝ_i) and the daily infection rate (R_i). The IRM, ${\hat{R}}_i$ = 0.039+0.041×Ŝ_i, was statistically significant but was not able to predict the daily infection rate in 2015. No weather variables showed statistical significance in explaining variations of the daily infection rate in 2013.

• 의학교육논단
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• 제9권2호
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• pp.57-66
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• 2007

Purpose How can be a great doctor with excellence and ethics? In this study, I wanted to find out the characteristics of human environment to make a great doctor. Methods: First, I researched factors and construct of the human environment. So I conceived a model for analyzing human environment with two construction model : Howard Gardner's System Model and Bron-fenbrenner's ecological systems model. Second, I analyzed the life of the Oliver R. Evison M.D. and Ki Ryu Jang M.D. Oliver R. Evison was the pioneer of medicine of Korea and establisher of the Severance Hospital and medical college. Dr KiRyu Jang, who was called 'Schweitzer of Korea', was a good doctor of the poor and weak patients in Korea. Third, I tried to find out a new human environment model to make a great doctor. Results One model for analyzing human environment was made of relationship based on emotion. relationship teaching knowledge and skill, and relationship communicating on value. In the light of analyzing of two great doctors. Oliver R. Evison M.D. and KiRyu Jang M.D, I found out special interrelationship, Hardie, Allen, Severance for Evison, Kyosin Kim, Kyucheol Choi etc. for Ki Ryu Jang These special people were religious actors or social thinkers. Conclusions: To be a great doctor to excel and innovate medical field, medical students should have the chance to meet with people based on religious, ethical and social action, discuss on value across social fields, and can construct the idea to make and realize higher value of medical action. In sum, another important human environment for medical students would be a person who could be communicate with true value.

• 천문학회보
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• 제46권1호
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• pp.41.2-41.2
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• 2021

In this study, we generate He I 1083 nm images from Solar Dynamic Observatory (SDO)/Atmospheric Imaging Assembly (AIA) images using a novel deep learning method (pix2pixHD) based on conditional Generative Adversarial Networks (cGAN). He I 1083 nm images from National Solar Observatory (NSO)/Synoptic Optical Long-term Investigations of the Sun (SOLIS) are used as target data. We make three models: single input SDO/AIA 19.3 nm image for Model I, single input 30.4 nm image for Model II, and double input (19.3 and 30.4 nm) images for Model III. We use data from 2010 October to 2015 July except for June and December for training and the remaining one for test. Major results of our study are as follows. First, the models successfully generate He I 1083 nm images with high correlations. Second, the model with two input images shows better results than those with one input image in terms of metrics such as correlation coefficient (CC) and root mean squared error (RMSE). CC and RMSE between real and AI-generated ones for the model III with 4 by 4 binnings are 0.84 and 11.80, respectively. Third, AI-generated images show well observational features such as active regions, filaments, and coronal holes. This work is meaningful in that our model can produce He I 1083 nm images with higher cadence without data gaps, which would be useful for studying the time evolution of chromosphere and coronal holes.