• Nuclear Engineering and Technology
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• v.17 no.4
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• pp.247-255
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• 1985

This paper describes a new method for the design of variable structure model-following control systems(VSMFC). This design concept is developed using the theory of variable structure systems (VSS) and slide mode. The new results are presented on the sliding control methodology to achieve accurate tracking for a class of nonlinear, multi-input multi-output(MIMO), time varying systems in the presence of parameter variations. The design requires little computational effort. The dynamic response is insensitive to parameter variations. The feasibility and the advantages of the method are illustrated by applying it to a 1000 MWe boiling water reactor(BWR). The control is studied in the range of 85%∼90% of rated power for load-following control. A set of 12 nonlinear differential equations is used to simulate the total plant. A 6-th order linear model has been developed from these equations at 85% of rated power. The obtained controller is shown by simulations to be able to compensate for a plant parameter variation over a wide power range.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.877-884
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• 2006

GPS is an essential tool for applications that be required high positioning precision, for the velocity field estimation of tectonic plates. The three years data of eight GPS permanent station were analyzed to estimate crustal deformation velocities using Gipsy-oasis II software. The velocity vectors of GPS stations are estimated by linear regression method in daily solution time series. The velocities have a standard deviation of less than 0.1mm/yr and the magnitude of velocities given by the Korean GPS permanent stations were very small, ranging from 25.1 to 31.1 mm/yr. The comparison between the final solution and other sources, such as IGS velocity result calculated from SOPAC was accomplished and the results generally show good agreement for magnitude and direction in crustal motion. To evaluate the accuracy of our results, the velocities obtained from six plate motion model was compared with the final solution based on GPS observation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.2
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• pp.205-211
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• 2016

Based on the Expendable Bathythermograph (XBT) observation and serial oceanographic observation of National Institute of Fisheries Science (NIFS) during July 2013 to July 2015, we examined the temperature variation in the Ulleung Warm Eddy (UWE) in the East Sea. The UWE was always shown during the observation periods even though it was not the whole shape. The coefficient of variation (CV) was largest in the depth of 250 m at the side of the east coast of Korean Peninsula with $3{\sim}4^{\circ}C$ in temperature. CV of the horizontal distribution at 250 m depth was also largest in the region biased along the east coast of Korea. The warm eddy moved not only to the east-west direction but also to the north-south direction in the viewpoint of horizontal distributions of temperature. This region between the Korean Peninsula and Ulleung island also is the passage of the East Korean Warm Current. This means that interaction between the East Korean Warm Current and periphery of warm eddy makes large in the variation of movement along the east coast of Korean Peninsula. The largest variation of temperature at 250 m depth seemed to be significantly correlated with the East Sea Intermediate Water (ESIW) underlying Ulleung Warm Eddy. It is suggested that the interaction between the ESIW and UWE is active in the mid-depth along the periphery of UWE.

• Proceedings of KOSOMES biannual meeting
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• 2009.06a
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• pp.149-150
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• 2009

영산강 하구둑에 의해 폐쇄내만의 조건을 가진 영산강 하구역에서 식물플랑크톤의 계절변동을 파악하고자 2008년에 계절별로 7개 정점에서 조사하였다. 영산강 하구역에서 출현한 식물플랑크톤 개체수는 14$\sim$34,958cells/mL의 범위를 보였다. 조사시기별로는 7월에 평균 10,796cells/mL가 출현하여 조사기간 중 가장 많은 출현 개체수를 보였고, 이어서 9월(평균 3,327cells/mL), 5월(평균 590cells/mL), 11월(평균 34cells/mL) 순으로 감소하여 조사시기별 출현개체수의 변동이 매우 심하였다. 규조류는 모든 조사시기에 걸쳐 최고의 점유율을 나타내었고 11월을 제외하면 전체 개체수의 90%이상을 차지하고 있어 규조류가 영산강 하구역의 식물플랑크톤 생물량을 좌우하고 있는 종임을 알 수 있었다. 영산강 하구역에서 출현한 식물플랑크톤의 제 1 우점종은 5월에 Eucampia zodiacus(83.1%), 7월에 Chaetoceros curvisetus(24.2%), 9월에 Pseudo-nitzschia delicatissima(94.3%), 11월에는 Chroomnnas류(33.6%)로 변화하였다. 5월과 9월은 한 종이 전체 식물플랑크톤 개체수의 80% 이상을 차지하는 극우점양상을 보여주었고, 7월에는 C. curvisetus, Skeleton듬 costatum 및 Chaetoceros sp. 등이 유사한 점유율로 우점하고 있었다. 영산강 하구역의 식물플랑크톤 종다양성지수는 0.228$\sim$2.260의 범위로 소수의 우점종에 의해 전체 군집의 분포양상이 결정되는 전형적인 연안, 하구수역의 군집 특성을 보이고 있었다.

• The Korean Journal of Financial Studies
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• v.10 no.1
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• pp.191-214
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• 2004

VaR에 의한 금융위험의 측정은 국제결제은행 바젤위원회의 내부모델 허용에 힘입어 금융산업에서 표준방식으로 확고한 입지를 차지하고 있다. 본 연구에서는 한국주식시장포트폴리오를 거래투자자산으로 보유한 경우의 VaR를 극단치이론에 입각하여 측정하고 이의 성과를 RiskMetrics의 성과와 비교하여 검토하였다. GPD의 모수적 추정에 의한 VaR의 사후검정결과는 표본내 사후검정이나 표본외 사후검정에서 어떤 신뢰수준에서도 기대되는 범위와 크게 벗어나지 않은 안정된 결과를 보였다. RiskMetrics의 EWMA방식도 역시 표본내와 표본외 사후검정 어느 경우에나 기대되는 범위에서 크게 벗어나지 않았지만 높은 신뢰수준에서는 그 성과가 GPD VaR에 비하여 상대적으로 불안정하였으며 위험의 과소평가 성향을 확인할 수 있었다. 비모수적 GEV추정에 입각한 VaR의 경우에는 위험을 과대평가하고 지나치게 보수적인 성향을 나타내었다. GPD의 모수적 접근에 의한 VaR 측정은 다양한 신뢰수준에서 정확한 검정결과를 보여주고 있으며, 시간적 흐름에 따르는 VaR의 행태도 지나친 변동성을 보이지 않아 외부규제 및 내부통제를 위한 금융위험의 측정지표로서 실용적인 가치가 있음을 확인할 수 있다.

• Journal of Advanced Navigation Technology
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• v.25 no.6
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• pp.551-556
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• 2021

In this paper, we deal with the stability condition of linear interval discrete systems with time-varying delays and unstructured uncertainty. For the interval discrete system which has interval matrix as its system matrices, time-varying delay time within some interval value and unstructured uncertainty which can include non-linearity and be expressed by only its magnitude, the stability condition is proposed. Compared with the previous result derived by using a upper bound solution of the Lyapunov equation, the new results are derived by the form of simple inequality based on Lyapunov stability condition and have the advantage of being more effective in stability application. Furthermore, the proposed stable conditions are very comprehensive and powerful, including the previously published stable conditions of various linear discrete systems. The superiority of the new condition is proven in the derivation process, and the utility and superiority of the proposed condition are examined through numerical example.

• Journal of the Korea Concrete Institute
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• v.26 no.3
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• pp.277-285
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• 2014

The purpose of this study is to investigate experimentally the variation factors range having influence on the rheological properties of the combined self-compacting concrete according to materials quality, weighting error and site conditions. Two types cement (blast-furnace slag cement and belite cement), lime stone powder as binder and the optimum mix proportions in the preceded study are selected for this study. Also, variations for sensitivity test are as followings; (1) Concrete temperature 3 cases (2) Surface moisture of sand 5cases (3) Fineness modulus of sand 5cases (4) Specific surface of lime stone powder 3cases (5) Dosage of chemical admixture 5cases. Slump flow ($650{\pm}50mm$), 500 mm reaching time (($7{\pm}3sec$), V-type flowing time ($15{\pm}5sec$) and U-box height (min. 300 mm) are tested for sensitivity. As test results, the variations range for quality control are as followings. (1) Concrete temperature; $10{\sim}20^{\circ}C$(below $30^{\circ}C$) (2) Surface moisture of sand; $base{\pm}0.6%$ (3) Fineness modulus of sand; $2.6{\pm}0.2$ (4) Dosage of chemical admixture; $base{\pm}0.2%$ (5) Specific surface of lime stone powder $6000cm^2/g$. Compared with two types cement including based belite cement (binary type) and based slag cement (ternary type), the combined self-compacting concrete used belite cement type is most stable in the quality control because of high contents for lime stone powder and $C_2S$. It is to propose a control scheme of the combined self-compacting concrete in the actual construction work.

• Transactions of the Korean Society of Mechanical Engineers
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• v.14 no.4
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• pp.971-980
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• 1990

본 연구에서는 실험적으로 2상 밀폐 직사각형 열사이폰 루프에 대하여 안정성 에 주된 영향을 줄수 있는 변수들, 즉 루프 경사각도, 작동유체의 유동현상을 관찰하 고 작동유체의 온도변동과 류프의 전열성능을 측정하여 열사이폰이 안정하게 작동하는 범위를 종합적으로 조사해 보았다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1960-1963
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• 2009

본 연구에서는 부산시 용호만 해안대수층에서 전기전도도와 지하수위의 수직적인 관측을 통해, 조석에 의한 해수/담수 경계면의 변동을 산정하였다. 연구지역은 부경대학교 대연캠퍼스 기숙사 신축부지 주변 해안대수층이며, 응회질퇴적암과 안산암 및 안산암질 화산각력암 등으로 구성되어 있다. 관측공의 개발심도는 120 m, 케이싱심도는 19 m, 내경은 0.2 m, 관측공과 해안선의 이격거리는 180 m 정도이다. 전기전도도에 의해 산정된 밀도는 담수에서 997.58 $kg/m^3$, 해수에서 1020.36 $kg/m^3$ 이었다. 관측기간(2008년 8월 21일${\sim}$10월 18일) 동안 해수/담수 경계면의 변동 범위는 해수면 기준 -21.69${\sim}$-21.53 m 이었으며, 경계면의 평균 위치는 해수면 기준 -21.62 m 정도이었다. 해수/담수 경계면과 지하수위의 상관성은 매우 높게 나타났으며, 해안대수층 내 해수/담수 경계면의 변동은 조석의 일(고조, 저조) 및 보름(대조, 소조) 단위의 변동에 영향을 받고 있음이 확인되었다. 관측기간 동안 지하수위는 전반적으로 하강하는 경향을 나타내었으며, 이는 관측기간이 풍수기에서 갈수기로 전환되고 있었기 때문이다. 향후에는 지속적인 관측을 통해, 용호만 해안의 해수면 상승에 의한 내륙으로의 해수침투를 연구하고자 한다.