• Annual Conference of KIPS
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• 2000.04a
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• pp.277-280
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• 2000

다중스레드 병렬기계(multithreaded parallel machine)를 위하여 함수 프로그램을 번역할 때 스레드 분할이란 수행 순서를 번역시간에 알 수 있어 정적 스케줄링이 가능한 프로그램의 부분을 식별하여 스레드로 모으는 작업을 말한다. 조건식에서 연산의 수행 순서는 판단식 -> 참실행식 또는 판단식 -> 거짓실행식이므로 번역시간에는 수행순서를 결정할 수 없다. 따라서 기존의 분할 알고리즘은 조건식의 판단식, 참실행식, 거짓실행식을 기본 블록으로 나누고 각각에 대하여 지역 분할을 적용한다. 이러한 제약은 스레드의 정의를 약간 수정하여 스레드 내에서의 분기를 허용한다면 좀더 좋은 분할을 얻을 수 있다. 스레드내에서의 분기는 병렬성을 감소시키거나 동기화의 횟수를 증가시키거나 또는 교착상태를 발생시키는 등의 스레드 분할의 기본 원칙을 어기지 않으며 오히려 스레드 길이를 증가시키거나 동기화 횟수를 줄이는 장점을 가질 수 있다. 본 논문에서는 조건식의 세 가지 기본 블록을 하나 또는 두 개의 기본 블록으로 병합함으로서 스레드 분할을 향상시키는 방법을 제안한다.

• Journal of the Korean Geotechnical Society
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• v.35 no.11
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• pp.51-62
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• 2019

In this study, a simple method to estimate the soil water content variation in a wide area was proposed using hyperspectral near-infrared images. The reflectance data of a sand, granite soils, and a kaolinite were measured by reflecting the soil samples with different wavelengths in the visible and near-infrared (VNIR) regions using hyperspectral cameras. The measured reflectances and parameters were used to build a water content prediction model using the Partial Least Square Regression (PLSR) analysis. In the water content prediction model, the Area of Reflectance (Near-infrared, NIR) parameter was the most suitable parameter to determine the water content. The parameter was applicable regardless of the soil type, as the coefficient of determination (R²) exceeded 0.9 for each soil sample. Additionally, the mean absolute percentage error (MAPE) was less than 15% when compared with the actual water content of the soil. Therefore, the predictability of water content variation for soils with water content lower than 50% was confirmed. Accordingly through this study, the predictability of water content variation in several soil types using the hyperspectral near-infrared images was confirmed. For further development, a model that incorporates soil classification would be required to improve the accuracy of the model and to predict higher range of water contents.

• Journal of the Korean Geotechnical Society
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• v.31 no.8
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• pp.17-28
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• 2015

The purpose of this study is to measure the volumetric water content of unsaturated soils during drying and wetting process by using volumetric pressure plate extractor (VPPE) incorporated with time domain reflectometry (TDR). The VPPE consists of a pressure cell, a pressure regulator, a burette system and a TDR probe. Two samples with different initial void ratios were prepared in the pressure cell, and the air pressure at the range of 0.1 kPa - 50 kPa was applied to adjust the matric suction by the pressure regulator. The burette system was used to measure the volumetric water content change of the sample according to the matric suction. In addition, the TDR probe, installed in the cell, was used to evaluate the dielectric constant from the reflected signal of the electromagnetic wave at the probe. The volumetric water content of specimen was estimated by the empirical equation between the volumetric water content and dielectric constant, which was calibrated with the Jumunjin sand. The test results show that the volumetric water content calculated by TDR probe is strongly correlated to the measured value by burette system. The hysteresis occurs during drying and wetting process. Furthermore, the degree of hysteresis reduces in the repeated process. This study suggests that TDR may be effectively used to evaluate the water content soil for the determination of water characteristic curve of unsaturated soils.

• Journal of Navigation and Port Research
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• v.36 no.10
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• pp.795-801
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• 2012

This paper describes theoretical approach methodology for the Probability based risk Evaluation Techniques (PET) to monitor the risk levels of small-sized sea floater as like a yacht pier. The risk decision-making process by risk criteria with five-step scales is the core concepts of PET. These five-step scales are calculated from cumulative probability distribution of response functions for the sea floater motions using closed-form expressions. In addition, The risk decision-making process of PET with the risk criteria is proposed in this work. To verify the usability of PET, simulation experiments are carried out using mimic signals with the electrical specifications of ADIS16405 sensor that is to be use as measurement tool for the floater motions. As results from experiments, the risk evaluation error by PET shows 0.38 levels in maximum 5.0 levels. These results clearly shown that the proposed PET can be use as the monitoring techniques.

• Environmental and Resource Economics Review
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• v.19 no.4
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• pp.897-914
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• 2010

The translog cost function of Korean Walleye pollock fishery is used to examine the impact of surface water temperature change led by global climate change. Catched of walleye pollock are very sensitive to water temperature and material cost. Elasticities of production to water temperature are -9%, significantly lower than we expected. There may be alternative explanations for the productivity decrease, including the possibility of overfishing and water pollution. However, the impact of climate change is obvious and inevitable. Therefore the government may encourage local fishermen to change from current cold water to warm water fisheries. Moreover continuos monitoring for the possibility of illegal activities at the East Sea. Finally, collaborated political efforts may be needed among the nations in the East Sea to conserve a Walleye Pollock fishery.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.385-396
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• 2005

In this paper, a new structural approach to on-line signature verification is presented. A primitive pattern is defined as a part segmented by a local minimal position of speed. And a structural description of signature is composed of subpatterns which are defined as such forms as rotation shape, cusp shape and bell shape, acquired by composition of the primitives regarding the directional changes. As the matching method to find identical parts between two signatures, a modified DP(dynamic programming) matching algorithm is presented. And also, variation and complexity of local parts are computed from the training samples, and reference model and decision boundary are derived from these. Error rate, execution time and memory usage are compared among the functional approach, the parametric approach and the proposed structural approach. It is found that the average error rate can be reduced from 14.2% to 4.05% when the local parts of a signature are weighted and the complexity is used as a factor of decision threshold. Though the error rate is similar to that of functional approaches. time consumption and memory usage of the proposed structural approach are shown to be very effective.

• Journal of Korea Water Resources Association
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• v.38 no.11
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• pp.955-962
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• 2005

Even though the runoff volume is very sensitive to the antecedent soil moisture condition (AMC), the general rainfall-runoff analysis in Korea has accepted, without careful consideration of its applicability, the AMC classification of the Soil Conservation Service (SCS, 1972). In this study, by following the development procedure of SCS Curve Number (CN), the rainfall-runoff characteristics of the Jangpyung subbasin of the Pyungchang River Basin were analyzed to estimate the CN and evaluate the AMC classification of currently being used. As results, CN(I), CN(II), and CN(III) were estimated to be 72.1, 79.3, and 76.7, respectively. Among them CN(II) was found to be similar to the other reports but the other two were totally different from those of theoretically estimated. However, it is difficult to evaluate the AMC with CN, rather the frequency of each AMC could be a better indicator for its validity. This study developed the histogram of AMC and compared the frequency of each AMC. hs results we found that the criterion for AMC-III should be increased, Hut that for AMC-I decreased.

• The KIPS Transactions:PartB
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• v.13B no.5 s.108
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• pp.525-532
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• 2006

This paper proposes a new class of image restoration on the Ising modeled binary 'Takbon' image by the flexible line-fitting ICM(Iterated conditional modes) method. Basically 'Takbon' image need be divided into two extreme regions, information and background one due to its stroke combinations. The main idea is the line process, comparing with the conventional ICM approaches which were based on partially rectangular structured point process. For calculating geometrical mechanism, we have defined line-fitting functions at each current pixel array which form the set of linear lines with gradients and lengths. By applying the Bayes' decision to this set, the region of the current pixel is decided as one of the binary levels. In this case, their statistical reiteration for distinct tracking between intra and extra region offers a criterion to decide the attachment at each step. Finally simulations using the binary 'Takbon' image are provided to demonstrate the effectiveness of our new algorithm

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.99-99
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• 2021

본 연구에서는 기상 자료와 적설 특성 자료의 관계를 도출하고, 이와 추계 일기 생성 모형을 활용하여 합성 적설심 시계열을 모의하는 방법에 대하여 제안한다. 추계 일기 생성 모형에서는 적설량을 직접 모의하지 않기 때문에 강수량을 적설량으로 변환해야한다. 이를 위해 도입한 관계식은 다음과 같다. 첫째로 기상청 적설 예보의 적설 유무 판단 기준을 이용하였다. 이 기준에서는 상대습도와 지상기온에 따라 강수의 형태를 비, 눈, 진눈깨비로 구분한다. 둘째로 강수가 적설로 판단되었을 때 강수량을 신적설심으로 환산하는 수상당량비를 지상기온과 회귀 분석하였다. 선행 연구에 따라 3시간 1 mm 이상 5 mm 이하 강수와 3시간 5 mm 이상 강수 사상에 대하여 나누어 sigmoid형 곡선을 이용하여 회귀 분석하였다. 마지막으로 융설에 의한 적설심 감소량을 지상기온과 복사량의 함수로 표현하였으며, 각 변수의 계수는 입자 군집 최적화 방법을 통하여 보정하였다. 추계 일기 생성 모형으로는 AWE-GEN 모형을 활용하였으며, 시험 자료로 강릉(105) 종관기상관측소의 24년 기간(1982-2005) 자료를 활용하여 합성 적설심 시계열을 생성하였다. 합성 적설심 시계열 모의 과정은 다음과 같다. (1) 추계 일기 생성 모형으로 합성 일기 자료 생성, (2) 강수 발생 시 적설 유무 판단, (3) 적설로 판단 시 수상당량비를 계산하여 신적설심 추정, (4) 기존 적설심에 신적설심을 더하고, 적설심 감소량만큼 감소. 위와 같은 과정으로 200년 길이 합성 적설심 시계열을 모의한 결과 극한 사상을 과소 추정하는 경향이 나타나 추가적인 개선이 필요한 것으로 판단된다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.3
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• pp.247-253
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• 2007

Determination of crack depth in filed using the self-calibrating surface wane transmission measurement and the cutting frequency in the transmission function (TRF) is very difficult due to variations of the measurement conditions. In this study, it is proposed to use the measured full TRF as a feature for crack depth assessment. A Principal component analysis (PCA) is employed to generate a basis of the measured TRFs for various crack cases. The measured TRFs are represented by their projections onto the most significant principal components. Then artificial neural networks (NNs) using the PCA-compressed TRFs is applied to assess the crack in concrete. Experimental study is carried out for five different crack cases to investigate the effectiveness of the proposed method. Results reveal that the proposed method can be effectively used for the crack depth assessment of concrete structures.