• Journal of the Korea Institute of Military Science and Technology
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• v.5 no.4
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• pp.38-48
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• 2002

Some signals, such as in radar system, are transmitted as periodic pulse trains. If more than one pulse train are transmitted over the same communication channel, a problem is to separate them for source identification and extract each pulse train at the receiver. This is known as pulse train deinterleaving. In this paper, we present an approach for deinterleaving the pulse trains and extracting their periods combining the estimation of the frequency of each pulse train by DFT, CDIF/SDIF histogram and Sequence Search technique. Also, we present the result of deinterleaving pulse trains and extracting PRI in the complex environment which multiple signals are interleaved.

• Bulletin of the Korean Space Science Society
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• 2011.04a
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• pp.25.3-25.3
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• 2011

지구 또는 우주 원격탐사 및 관측에서 진일보한 임무 수행을 위해 위성 편대 비행의 필요성이 점차 부상하고 있다. 편대 비행은 단일 위성으로는 실현하기가 어렵거나 불가능한 과학적인 임무를 수행할 수 있다. 다양한 위성 편대 비행 기술에서 중요한 기술 중에 하나는 편대 위성간의 정밀기선결정 기술이며, 정밀도 검증 기술도 함께 동반되어야 한다. 이 논문에서는 Gravity Recovery and Climate Experiment(GRACE) 위성의 실제 Global Positioning System(GPS) 데이터를 사용하여 GRACE A와 B 두 위성의정밀기선결정을 수행하였다. 그리고 K/Ka-Band Ranging system(KBR) 바이어스 거리측정값으로 일괄처리 및 순차처리 방법을 통해 정밀도를 검증하였다. 제안된 순차처리 방법은 KBR 바이어스를 추정하는 대신에 기산점 차분으로 이를 제거하여 정밀도를 검증하기 때문에 검증자(KBR baised range)가 피검증자(GPS-baseline)와 독립적이고 실시간 정밀도 검증에 적용이 가능하다. 그 결과 일괄처리 검증방법과 유사한 1.5 ~ 3.0 mm의 순차처리 정밀도 검증 결과를 얻었다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.13-16
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• 2016

본 논문에서는 순환 신경망을 이용하여 동영상에서의 배경과 전경을 구분하는 알고리즘을 제안한다. 순환 신경망은 일련의 순차적인 입력에 대해서 내부의 루프(loop)를 통해 이전 입력에 의한 정보를 지속할 수 있도록 구성되는 신경망을 말한다. 순환 신경망의 여러 구조들 가운데, 우리는 장기적인 관계에도 반응할 수 있도록 장단기 기억 신경망(Long short-term memory networks, LSTM)을 사용했다. 그리고 동영상에서의 시간적인 연결 뿐 아니라 공간적인 연관성도 배경과 전경을 판단하는 것에 영향을 미치기 때문에, 공간적 순환 신경망을 적용하여 내부 신경망(hidden layer)들의 정보가 공간적으로 전달될 수 있도록 신경망을 구성하였다. 제안하는 알고리즘은 기본적인 배경차분 동영상에 대해 기존 알고리즘들과 비교할만한 결과를 보인다.

• Journal of Internet Computing and Services
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• v.4 no.3
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• pp.1-8
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• 2003

The power analysis attack is a physical attack which can be applied to the cryptosystems such as smartcard. We try to experimental attack to a smart card which implemented Elliptic Curve Cryptosystem adopting NAF algorithm as a secret key recording method. Our differential power analysis attack is a potential threat to that implementation. The attacker measures the power traces during the multiplication with secret key bits in a target smart card and the multiplication with the guessed bits in other experimental one. The comparison of these two traces gives a secret bit, which means that attacker can find all secret key bits successively.

• Journal of the Korean Statistical Society
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• v.3 no.1
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• pp.65-66
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• 1974

통계학의 수리론을 전개한 우리의 저서가 별로 없는 터에 윤기중교수의 '수리통계학'이 박영사를 통하여 간행되었다. 이책은 미적분에 관한 수학지식으로 능히 독파할 수 있도록 순차적으로 차분하게 기술되어 있다. 집합론의 개념에서부터 시작하여 확률론의 기초사항을 친절하게 설명하고 연속확률변수의 분포, 확률표본, 점추정, 다변량정규분포, 각종 통계량의 분포, 통계적 가설검정, 구간추정, 그리고 끝으로 회귀와 상관분석에 이르기까지 각종항목에 걸쳐서 통계학이론이 빠짐없이 기술되어 있다.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.449-454
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• 2020

We propose an improved de-interlacing method that converts the interlaced images into the progressive images by one field. In the first, Inter-pixel values are calculated by applying Newton's forward difference, backward difference interpolation from upper and lower 5 pixel values. Using inter-pixel values obtained from upper and lower 5 pixel values, it makes more accurate a direction estimate by applying the correlation between upper and lower pixel. If an edge direction is determined from the correlation, a missing pixel value is calculated into the average of upper and lower pixel obtained from predicted direction of edge. From simulation results, it is shown that the proposed method improves subjective image quality at edge region and objective image quality at 0.2~0.3dB as quantitative calculation result of PSNR, compared to previous various de-interlacing methods.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.404-410
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• 2011

For the simulation of one-dimensional unsteady flow, the Taylor-Galerkin finite element method was adopted to the discretization of the Saint Venant equation. The model was applied to the backwater problem in a single channel and the flood routing in dendritic channel networks. The numerical solutions were compared with previously published results of finite difference and finite element methods and good agreement was observed. The model solves the continuity and the momentum equations in a sequential manner and this leads to easy implementation. Since the final system of matrix is tri-diagonal with a few additional entry due to channel junctions, the tri-diagonal matrix solution algorithm can be used with minor modification. So it is fast and economical in terms of memory for storing matrices.

• Journal of IKEEE
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• v.6 no.1 s.10
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• pp.102-110
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• 2002

An effective scheme to detect and diagnose multiple failures in a dynamic system is described for the case where the measurement noise is correlated sequentially in time. It is based on the modified interacting multiple model (MIMM) estimation algorithm in which a generalized decorrelation process is developed by employing the autoregressive (AR) model for the colored noise and applying measurement difference method.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.157-160
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• 2008

The objectives of this research are showing that how the resolution of TV Screen affect to emotion-pleasure, arousal and dominace of viewers. We analyze on difference of 3degree of emotion through the sequential proposal of HD and SC Resolution. And we research how the difference of resolution affects to changing of emotions and the possibility of persistency of resolution when web have a condition of regular resolution.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.3
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• pp.187-194
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• 2017

The present study introduces a method to parallelize k-means clustering algorithm for fast unsupervised classification of large satellite imagery. Known as a representative algorithm for unsupervised classification, k-means clustering is usually applied to a preprocessing step before supervised classification, but can show the evident advantages of parallel processing due to its high computational intensity and less human intervention. Parallel processing codes are developed by using multi-threading based on OpenMP. In experiments, a PC of 8 multi-core integrated CPU is involved. A 7 band and 30m resolution image from LANDSAT 8 OLI and a 8 band and 10m resolution image from Sentinel-2A are tested. Parallel processing has shown 6 time faster speed than sequential processing when using 10 classes. To check the consistency of parallel and sequential processing, centers, numbers of classified pixels of classes, classified images are mutually compared, resulting in the same results. The present study is meaningful because it has proved that performance of large satellite processing can be significantly improved by using parallel processing. And it is also revealed that it easy to implement parallel processing by using multi-threading based on OpenMP but it should be carefully designed to control the occurrence of false sharing.