• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.336-339
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• 2012

본 논문에서는 비선형 MLCA(Maximum Length Cellular Automata)와 1D CAT(One-Dimensional Cellular Automata Transform)를 이용하여 의료 영상 암호화 방법을 제안한다. 암호화 방법은 먼저, Wolfram Rule 행렬에 의해 전이행렬 T를 생성한다. 그 후, 암호화하려는 원 영상에 생성된 전이 행렬 T를 곱하여 원 영상의 픽셀 값을 변환한다. 또한 변환된 원 영상을 여원 벡터 F와 XOR 연산하여 비선형 MLCA가 적용된 영상으로 변환한다. 다음, 게이트웨이 값을 설정하여 1D CAT 기저함수를 생성한다. 그리고, 비선형 MLCA가 적용된 영상에 생성된 1D CAT 기저함수를 곱하여 암호화를 한다. 마지막으로 키 공간 분석을 통하여 제안한 방법이 높은 암호화 수준의 성질을 가졌음을 검증한다.

• Journal of the Korean Geotechnical Society
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• v.22 no.7
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• pp.23-35
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• 2006

Shear load transfer characteristics of rock-socketed drilled shafts were analyzed. The constant normal stiffness (CNS) direct shear tests were performed to identify the major influencing factors of shaft resistance, i.e., unconfined compressive strength, borehole roughness, normal stiffness, initial confining stress, and material properties. Based on the CNS tests, shear load transfer function of drilled shafts in rocks is proposed using borehole roughness and the geological strength index (GSI), which indicates discontinuity and surface condition of rock mass in Hoek-Brown criterion (1997). The proposed load-transfer function was verified by the load test results of seven rock-socketed drilled test shafts subjected to axial loads. Through comparisons of the results of load tests, it is found that the load-transfer function by the present study is in good agreement with the general trend observed by in situ measurements, and thus represents a significant improvement in the prediction of load transfer of drilled shafts.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1999.05a
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• pp.58-67
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• 1999

기존 의사 랜덤순서 발생회로에서 존재하는 출력이 일치할 가능성을 없애고, 출력이 전 계에 골고루 이상적으로 분포시켜 랜덤성을 높일 필요가 있다. 본 논문은 기존의 의사 랜덤순서 발생회로에 결정론적 카오스 함수의 특성을 덧 붙임으로써 보다 랜덤성이 뛰어난 랜덤순서 신호를 발생시켰다. 결정론적 카오스 함수는 이미 카오스 특성이 입증된 톱니함수를 이용하였으며, 카오스적인 랜덤신호는 예측가능하면서, 혼돈적 특성으로 인해 보다 랜덤한 카오스적인 랜덤신호 발생회로와 개념을 제시 하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.05a
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• pp.215-218
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• 2001

최근 지능 정보 처리에 대한 연구가 여러 분야에서 활발히 진행되고 있으며, 불확실하고 복잡한 동적 환경에 적응할 수 있는 계산 모델로 점차 영역을 확장해 가고 있다. 따라서, 본 논문에서는 다치 논리함수의 차분의 성질을 이용한 다치 오토마타 모델을 제시한다. 즉, 입력 스트링 상태를 다치 함수의 치에 사상시키고, 다치 함수의 차분의 성질을 이용하여 상태의 전이에 적용시켜 동적 변화에 자율적으로 적응할 수 있도록 하였다. 그러므로 다치 오토마타는 동적으로 변화하는 시스템을 모델링 하는데 광범위하게 응용될 수 있을 것이다.

• Journal of the Korean Vacuum Society
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• v.10 no.2
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• pp.252-256
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• 2001

We performed spectroscopic ellipsometry measurement to obtain dielectric function(DF) of ZnSe at room temperature. Proper wet chemical etching procedure was carried out to remove overlayers on top of ZnSe, and our result indicates that the previous reports on the pure DF of ZnSe have inaccurate interpretations. We constructed DF of oxide on ZnSe by using reported DFs of amorphous-Se, $GaAsO_3$, and voids through Bruggeman effective-medium approximation.

• The Journal of Natural Sciences
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• v.10 no.1
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• pp.9-12
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• 1998

In this paper, we obtain that if $\psi : E \to F$ is a fibrewise fibration then postcomposition $\psi :C_B(Y, E) \to C_B(Y, F)$ is fibrewise fibration and if (X, A) is a closed fibrewise cofibration the the precomposition $\upsilon :C_B(X, E) \to C_B(A, E)$ is also a fibrewise fibration.

• Geophysics and Geophysical Exploration
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• v.26 no.4
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• pp.199-210
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• 2023

The physical properties of rocks in reservoirs change after CO₂ injection, we modeled a reservoir with a transition zone within which the physical properties change linearly. The function of the Wolf reflection coefficient consists of the velocity ratio of the upper and lower layers, the frequency, and the thickness of the transition zone. This function can be used to estimate the thickness of a reservoir or seafloor transition zone. In this study, we propose a method for predicting the thickness of the transition zone using deep learning. To apply deep learning, we modeled the thickness-dependent Wolf reflection coefficient on an artificial transition zone formation model consisting of sandstone reservoir and shale cap rock and generated time-frequency spectral images using the continuous wavelet transform. Although thickness estimation performed by comparing spectral images according to different thicknesses and a spectral image from a trace of the seismic stack did not always provide accurate thicknesses, it can be applied to field data by obtaining training data in various environments and thus improving its accuracy.

• Journal of Radiation Protection and Research
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• v.21 no.4
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• pp.285-296
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• 1996

The energy spectra in the air and water of several ${\gamma}-ray$ sources such as Cr-51, Cs-137, Mn-54, Zn-65 have been investigated using the NaI(T1) scintillation detector. General response functions, which can curve fit the measured spectra, have been constructed. We have found that the constructed response functions can successfully represent the measured spectra in the water as well as in the air, It is possible, by comparing the relevant parameters of the response functions, to quantitatively characterize the changing features of the measured spectra as obtained with varying the water depth. Of the response function parameters, those which affect the shape of the full-energy Peak have most notably changed. Besides, those parameters which affect the shapes of the flat continuum, the Compton continuum and edge have also shown slight changes with varying the water depth.

• Proceedings of the Korean Geotechical Society Conference
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• 1997.10a
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• pp.399-408
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• 1997

• 한국도로학회:학술대회논문집
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• 2010.03a
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• pp.119-130
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• 2010