• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.271-280
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• 2011

Heart Rate Variability (HRV) analysis is a convenient tool to assess Myocardial Ischemia (MI). The analysis methods of HRV can be divided into time domain and frequency domain analysis. This paper uses wavelet transform as frequency domain analysis in contrast to time domain analysis in short term HRV analysis. ST-T and normal episodes are collected from the European ST-T database and the MIT-BIH Normal Sinus Rhythm database, respectively. An episode can be divided into several segments, each of which is formed by 32 successive RR intervals. Eighteen HRV features are extracted from each segment by the time and frequency domain analysis. To diagnose MI, the Neural Network with Weighted Fuzzy Membership functions (NEWFM) is used with the extracted 18 features. The results show that the average accuracy from time and frequency domain features is 75.29% and 80.93%, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.146-146
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• 2012

영상 분석을 통하여 하천의 표면유속을 산정하는 표면영상유속계(SIV)는 기존 유속측정 방법들에 비해 간편하고, 효율적이며 짧은 시간에 원하는 영역의 유속장을 산정할 수 있다는 장점을 가지고 있다. 하지만 현장 상황에 따라 분석을 위한 변수들을 달리 적용하고 있기 때문에 사용자마다 유속 결과가 달라질 수 있다는 단점이 있다. 이에 본 연구에서는 표면영상유속계의 측정 불확도 산정을 위해 기지의 유속 분포와 추적자 분포를 가진 인공 영상들을 제작하였다. 이 인공 영상들은 입자영상유속계(PIV)의 불확도 분석에 많이 사용되는 표준 PIV 영상과 유사한 것이다. 이 인공 영상을 이용하여 영상의 취득과 처리에 관련된 여러 변수가 최종 유속장에 미치는 영향을 분석하였다. 연구된 변수에는 상관창의 크기, 탐색창의 크기, 추적 입자의 농도, 면외 속도와 평균 영상 속도, 두 영상간의 시간 간격이 포함된다. 상호상관법을 이용하여 고정확도의 결과를 얻기 위해, 상관창의 크기는 상관창 안에 포함되는 입자의 수가 충분할 만큼 커야 하며, 추적 입자의 농도가 정확도에 크게 영향을 미치는 것을 확인하였다. 또한, 상호상관법을 이용하여 정확도 높은 유속측정 결과를 얻기 위해서는 최적 시간간격 또는 평균 영상 유속이 선택되어야 함을 보였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.687-693
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• 2006

Image co-registration is the process of overlaying two images of the same scene, one of which represents a reference image, while the other is geometrically transformed to the one. In order to improve efficiency and effectiveness of the co-registration approach, the author proposed a pre-qualified area matching algorithm which is composed of feature extraction with canny operator and area matching algorithm with cross correlation coefficient. For refining matching points, outlier detection using studentized residual was used and iteratively removes outliers at the level of three standard deviation. Throughout the pre-qualification and the refining processes, the computation time was significantly improved and the registration accuracy is enhanced. A prototype of the proposed algorithm was implemented and the performance test of 3 Landsat images of Korea. showed: (1) average RMSE error of the approach was 0.435 pixel; (2) the average number of matching points was over 25,573; (3) the average processing time was 4.2 min per image with a regular workstation equipped with a 3 GHz Intel Pentium 4 CPU and 1 Gbytes Ram. The proposed approach achieved robustness, full automation, and time efficiency.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.290-290
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• 2012

본 실험에서는 RF magnetron sputtering법과 evaporator법을 이용하여 다층박막 OMO구조를 $30{\times}30mm$ 유리기판 위에 제작하였다. Oxide층은 Sputter장비를 이용 IGZO막을 제작하였으며, Metal 층은 evaporator장비를 이용 Ag 막을 제작하였다. 변수로는 Oxide층의 시간에 따른 특성 변화를 연구하였다. 소결된 타겟으로는 In:Ga:ZnO를 각각 1:1:1 mol%의 조성비로 혼합하여 이용하였으며, Ag는 99.999%의 순도를 가진다. Oxide층의 RF sputter 공정 조건으로는 초기압력 $3.0{\times}10^{-6}$ Torr 이하로 하였으며, 증착 압력 $2.0{\times}10^{-2}$ Torr, Rf power 30 W, Ar gas 50 sccm으로 고정 시켰으며, 변수로는 5, 7, 9, 11분은 시간 차이를 두어 증착을 하였다. Metal층의 Evaporator 공정조건으로는 $5.0{\times}10^{-6}$ Torr이하, 전압은 0.3 V, Thickness moniter로 두께를 확인해가며 증착하였으며, $100{\AA}$으로 고정시켰다. 분석결과로는 XRD 측정 결과 35도 부근에서 Ag 피크가 관찰되었다. IGZO막 하나일때 90% 이상의 평균 투과율을 보였으며, 3층의 구조가 모두 증착됐을때의 투과도는 가시광영역에서 평균 80% 이상의 투과율을 보였으며, 500 nm부터 투과율이 떨어지기 시작해 800 nm부근에서는 평균 투과율이 30%까지 떨어져 Metal층인 Ag가 하나의 layer로 잘 증착이 된것을 보여주며, 플라즈몬효과를 보여줌을 알수있다. AFM측정 결과 평균 거칠기는 1.2 nm 정도의 거칠기를 확인했다. 홀 측정결과 전기적 특성은 발견되지 않았다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.83-86
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• 2017

단일 코어 프로세스의 성능 향상은 전력 소모, 발열 등의 이유로 한계에 달했다. 이에 대한 대안으로 멀티 코어가 등장했으며 매니 코어 기술에 대한 연구가 활발히 진행 중에 있다. 이렇듯 멀티 코어 환경이 보편화됨에 따라 병렬 프로그래밍의 중요성이 더욱 커졌다. 한편, 순수 함수형 언어 Haskell은 부수효과가 없고 다양한 병렬화 도구를 지원함으로써 다가오는 병렬 프로그래밍 시대에 적합한 언어라 할 수 있다. 이때 Haskell 병렬 프로그램의 성능은 메모리 재사용(Garbage Collection) 시간에 큰 영향을 받는다. 그래서 Haskell 병렬 프로그램의 성능 향상, 분석을 위한 메모리 프로파일링 도구가 필요하다. 이미 Haskell이 제공하는 메모리 프로파일링 도구로 ghc-gc-tune이 있지만 실행 속도 측면에서 개선이 필요하다. 본 연구에서는 분할 정복법을 이용해서 매 단계마다 탐색 영역을 4분의 1로 줄이도록 ghc-gc-tune을 개선했다. 개선된 ghc-gc-tune을 극대 독립 집합 프로그램과 K-means 프로그램에 적용한 결과, 평균 98%의 정확도로 실행 시간을 평균 7.78배 단축했다.

• Journal of the Society of Naval Architects of Korea
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• v.38 no.3
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• pp.47-53
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• 2001

When a ship advancing in waves is subjected to impact forces or irregular forces, the motion analyses for ship are convenient for being calculated in the time domain. The added mass, wave damping coefficients, wave exciting forces and mean drift forces are calculated by 3-Dimensional panel method used the translating pulsating Green function in the frequency domain and the motion equations which are considered by the memory effect due to waves are numerically solved by using the Newmark-$\beta$ method in the time domain. The motion analyses are carried out for a Series 60($C_B=0.7$) moving in irregular waves. The items of calculation are 6-degree motions, accelerations at the fore and after position, numbers of deck wetness and numbers of exposure at ship-bottom, etc. Moreover, the thrust addition in waves is examined by considering the time mean drift forces in the motion equations of time domain.

• Journal of the Society of Disaster Information
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• v.10 no.1
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• pp.123-140
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• 2014

This paper proposes a simple and effective method for determining the dynamic characteristics of revolution shells. This is a weighted residual method in which the collocation points are taken at the roots of orthogonal polynomial. In this paper the collocation method is employed to replace a partical differential eqations by a system of ordinary differential equations in time, and the resulting equations are solved by two different numerical methods of time integration : an implicit method and an explicit method. The proposed approach is formulated in some detail. The versatility and accuracy are illustrated through several numerical examples. The method appears to be relatively easy to set up and gives satisfactory results.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.15 no.2
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• pp.217-222
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• 2004

In this paper, the efficient channel estimation schemes for DRM system(AM band digital radio broadcasting standard) are investigated. In frequency domain, by means of the linear interpolation, the second order interpolation, cubic spline interpolation, and time domain interpolation, the channel impulse response is estimated respectively to compensate the attenuation due to the fading. And in time domain, the frequency channel impulse response is averaged to reduce the attenuation due to the AWGN. By the simulation, the performance of MSE, BER and the complexity of calculation is compared and analyzed for each interpolation scheme.

• Journal of KIISE:Software and Applications
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• v.32 no.7
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• pp.625-635
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• 2005

In this paper, we propose a hybrid approach for segmenting the lungs efficiently and automatically in chest CT images. The proposed method consists of the following three steps. first, lungs and airways are extracted by two- and three-dimensional automatic seeded region growing and connected component labeling in low-resolution. Second, trachea and large airways are delineated from the lungs by two-dimensional morphological operations, and the left and right lungs are identified by connected component labeling in low-resolution. Third, smooth and accurate lung region borders are obtained by refinement based on image subtraction. In experiments, we evaluate our method in aspects of accuracy and efficiency using 10 chest CT images obtained from 5 patients. To evaluate the accuracy, we Present results comparing our automatic method to manually traced borders from radiologists. Experimental results show that proposed method which use connected component labeling in low-resolution reduce processing time by 31.4 seconds and maximum memory usage by 196.75 MB on average. Our method extracts lung surfaces efficiently and automatically without additional processing like hole-filling.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2655-2663
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• 2011

Several algorithms have been developed to detect AF which rely either on the form of P waves or the based on the time frequency domain analysis of RR variability. However, locating the P wave fiducial point is very difficult because of the low amplitude of the P wave and the corruption by noise. Also, the time frequency domain analysis of RR variability has disadvantage to get the details of irregular RR interval rhythm. In this study, we describe an atrial fibrillation detection algorithm through non-linear analysis of irregular RR interval rhythm based on the variability, randomness and complexity. We employ a new statistical techniques root mean squares of successive differences(RMSSD), turning points ratio(TPR) and sample entropy(SpEn). The detection algorithm was tested using the optimal threshold on two databases, namely the MIT-BIH Atrial Fibrillation Database and the Arrhythmia Database. We have achieved a high sensitivity(Se:94.5%), specificity(Sp:96.2%) and Se(89.8%), Sp(89.62%) respectively.