• Journal of Korea Water Resources Association
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• v.31 no.5
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• pp.553-564
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• 1998

For the proper design and management of underground storage cavern, groundwater flow around cavern should be analyzed. Since this flow is influenced by spatial nonuniformity of hudraulic conductivity, the two-dimensional finite element flow model incorporating stochastic concepts was developed to analyze influences due to this nonuniformity. Monte Carlo technique was applied to obtain an approximate solution for two-dimensional, steady flow in a stochastically defined nonuniform medisu. For this purpose, the values of hydraulic conductivity were generated for each element with known mean and standard deviations. The uncertainty in model prediction depends on both the nonuniformity in hydraulic conductivity and the natures of the flow system such as water curtain and boundary condition. Therefore the uncertainties in predicted hydraulic head and gradient are the greatest where the mean hydraulic gradients are relatively large and far from the boundaries. Especially, we relate these uncertainties with well known gas tightness condition.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.11-19
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• 2019

In this paper, a new Scene-based Nonuniformity Correction (SBNUC) method is proposed by applying Image Roughness-like and Spatial Noise cost functions on deep neural network structure. The classic approaches for nonuniformity correction require generally plenty of sequential image data sets to acquire accurate image correction offset coefficients. The proposed method, however, is able to estimate offset from only a couple of images powered by the characteristic of deep neural network scheme. The real world SWIR image set is applied to verify the performance of proposed method and the result shows that image quality improvement of PSNR 70.3dB (maximum) is achieved. This is about 8.0dB more than the improved IRLMS algorithm which preliminarily requires precise image registration process on consecutive image frames.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.429-430
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• 2007

FPA (Focal Plane Arrary)를 이용한 적외선 영상 획득 시스템에서 발생하는 주요 잡음 중 하나는 영상에 존재하는 공간적 고정 패턴 잡음(SFPN, Spatial Fixed Pattern Noise)이다. 이것이 발생하는 주된 요인은 배열을 이루고 있는 각 검출기들과, FPA 출력단에 있는 증폭기의 입출력 응답이 균일하지 않고, 시간이 흐름에 따라 그 응답특성이 변화하기 때문이다. 이 문제를 극복하기 위하여 일반적으로 교정기반 불균일 보정 방법(CBNUC, Calibration Based Nonuniformity Correction)과 장면기반 불균일 보정방법(SBNUC, Scene Based Nonuniformity Correction)이 사용된다. 본 논문은 CBNUC를 사용하는 시스템의 FPA 출력단 회로에 구성된 복수의 증폭기에 존재하는 이득의 차이 및 잡음에 의한 불균일을 보정하기 위한 보간 기법을 제안한다. 실험을 통하여 제안한 기법이 CBNUC 기반 적외선 영상 시스템에서 발생하는 규칙적인 패턴의 SFPN을 효율적으로 제거하는 것을 확인하였다. 또한, 제안한 기법은 CBNUC 기반 적외선 영상 시스템에서 주기적으로 수행해야하는 단일점보정 (OPC, One Point Correction)의 수행횟수를 줄이고, 연산량도 적어 실시간 시스템 구현이 가능하다.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.1
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• pp.88-93
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• 1988

For coherent optical information processing the thickness uniformity of the spatial light modulators(SLMs)is highly demanded. The liquid crystal display(LCD), which is commercialized as a pocket-sized television, is considered as one of the most cheap 2-dimensional SLM. But usually it has lack of thickness uniformity. Thus phase correction to compensate the thickness nonuniformity must be preceded before it is used as an SLM. In this paper relatively easy phase compensation method applicable to binary SLMs is discussed and experimentally verified by using the optical joint transformantion concept.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.1-9
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• 2012

Decisions on reliability screening rules and burn-in policies are determined based on the estimated reliability. The variability in a semiconductor manufacturing process does not only causes quality problems but it also makes reliability estimation more complicated. This study investigates the nonuniformity characteristics of integrated circuit reliability according to defect density distribution within a wafer and between wafers then develops optimal burn-in policy based on the estimated reliability. New reliability estimation model based on yield information is developed using a spatial stochastic process. Spatial defect density variation is reflected in the reliability estimation, and the defect densities of each die location are considered as input variables of the burn-in optimization. Reliability screening and optimal burn-in policy subject to the burn-in cost minimization is examined, and numerical experiments are conducted.

• Ocean and Polar Research
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• v.23 no.1
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• pp.35-49
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• 2001

An ichthyofauna analysis of the East Sea using quantitative investigation procedures for latitudinal variations of the species richness and clustering of the species list is presented to illustrate the application of the adopted geographical scaling (less than 1:10,000,000) which provides a principal opportunity for common benthic and pelagic biogeographical zonation. The distribution of both pelagic and benthic marine fish biota at a scale of biosphere (or its major sections) was highly influenced by spatial nonuniformity of hydrological structure associated with the various water circulations and frontal zones. Following zoogeographical zonations were established for the East Sea: Osaka, East Korea, Primorye, North Primorye, Northern East Sea, Uetsu, Tsugaru, Soya and West Sakhalin.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.450-450
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• 2010

Recently, field emission emitters made by carbon nanotubes(CNTs) and ink-jet method have been extensively studied due to their low cost, little limitation of size and a high resolution. When CNT emitters are operated, a few highly protruded ones generate most of the emission currents that cause spatial nonuniformity. In this study, we applied selective oxidation to solve this problem on ink-jet printed CNT emitters. Consequently, O2 exposures to field emitting CNT arrays give rise to a permanent damage selectively on the highly emitting CNTs. In spite of turn-on field increase, emission images was showed remarkably uniform after oxygen trimming.