• Proceedings of the Korean Institute of Building Construction Conference
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• 2007.11a
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• pp.109-113
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• 2007

This paper introduces a system, Simulation based Stochastic Markup Estimation System (S2ME), for estimating optimum markup for a project. The system was designed and implemented to better represent the real world system involved in construction bidding. The findings obtained from the analysis of existing assumptions used in the previous quantitative markup estimation methods were incorporated to improve the accuracy and predictability of the S2ME. The existing methods has four categories of assumption as follows; (1) The number of competitors and who is the competitors are known, (2) A typical competitor, who is fictitious, is assumed for easy computation, (3) the ratio of bid price against cost estimate (B/C) is assumed to follow normal distribution, (4) The deterministic output obtained from the probabilistic equation of existing models is assumed to be acceptable. However, these assumptions compromise the accuracy of prediction. In practice, the bidding patterns of the bidders are randomized in competitive bidding. To complement the lack of accuracy contributed by these assumptions, bidding project was randomly selected from the pool of bidding database in the simulation experiment. The probability to win the bid in the competitive bidding was computed using the profile of the competitors appeared in the selected bidding project record. The expected profit and probability to win the bid was calculated by selecting a bidding record randomly in an iteration of the simulation experiment under the assumption that the bidding pattern retained in historical bidding DB manifest revival. The existing computation, which is handled by means of deterministic procedure, were converted into stochastic model using simulation modeling and analysis technique as follows; (1) estimating the probability distribution functions of competitors' B/C which were obtained from historical bidding DB, (2) analyzing the sensitivity against the increment of markup using normal distribution and actual probability distribution estimated by distribution fitting, (3) estimating the maximum expected profit and optimum markup range. In the case study, the best fitted probability distribution function was estimated using the historical bidding DB retaining the competitors' bidding behavior so that the reliability was improved by estimating the output obtained from simulation experiment.

• Journal of Animal Science and Technology
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• v.49 no.6
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• pp.737-744
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• 2007

An experiment was conducted to compare the ME values of imported corns measured by In vivo(TME) and In vitro(MEn, ME and MEpc) methods and to investigate the true amino acid availability(TAAA) and the true nutrient availability(TNA) of imported corns. For TME assay, twenty four 57-weeks-old Hy-Line roosters were assigned to fasting group(4 roosters) and four corn groups(5 roosters each): USA; corn produced in the United States, ARG; corn produced in Argentina, CHN; regular corn produced in China, CHNP; premium corn produced in China. The MEn, ME and MEpc values were determined by equations based on chemical analysis. The TME value of USA(3,745kcal/kg) in as fed basis was significantly (P<0.01) higher than ARG(3,555kcal/kg) and CHNP(3,518kcal/kg) but was not significantly different from CHN(3,671kcal/kg). The TME value of USA(4,144kcal/kg) in DM basis was not significantly different from CHN(4,060kcal/kg) and CHNP(4,008kcal/kg) but was significantly(P<0.05) higher than ARG(4,001kcal/kg). There were significant differences in TAAA of phenylalanine, histidine and arginine among imported corns. Those of USA were highest but overall TAAA was not significantly different among imported corns. True availability of NFE of USA, ARG and CHN was significantly(P<0.05) higher than that of CHNP. However, true availability of crude protein, crude fat, crude fiber and crude ash were not significantly different among corns. The correlation coefficient between TME and MEn value was 0.91 which was significant at P<0.1 but correlation coefficient between TME and ME value and between TME and MEpc value was 0.90 and 0.83, respectively which was not significant at P<0.1. In conclusion, US corn was highest in TME values and Chinese premium corn was not significantly different from regular Chinese corn. The MEn value obtained by equation based on chemical analysis may be used as a tool to evaluate TME value of corn.

• The Korean Journal of Quaternary Research
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• v.13 no.1
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• pp.53-65
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• 1999

It is only possible by Physical based Water Balance Models such as $BROOK_{TOP}$ developed by me to estimate regional water balances caused by changes of regional ecosystem, which result in climate change, change of vegetation due to climate change, artificial landuse change, etc. This study estimates regional water balances of mid-north agricultural and forest regions in Germany using $BROOK_{TOP}$-Water Balance Model with climate change scenarios developed by PIK in Germany and GCM Scenarios developed by Praha University in Czech. Developing Water Resource Change Estimation System such as this study for global warming with considering climate, surface and underground conditions provides the basis of system development for surface-, groundwater-, cultivation-, ecosystem-, natural emergency-management, landuse and regional planing.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.2
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• pp.78-84
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• 2009

In general video coding systems, motion estimation (ME) is regarded as a vital component in a video coder as it consumes a large amount of computation resources. Fractional pixel motion estimation can improve the video compression rate at the cost of higher computational complexity. It is based on the experimental results that the sum of absolute differences (SAD) shows parabolic shape and thus can be approximated by using interpolation technique. In this paper, we propose a fast fractional pixel search algorithm by combining SASR (Simplified Adaptive Search Range) and the CBCDS (Center Biased Cross-Diamond Search) pattern with the predicted motion vector. Compare with the fractional pel full search and the CBFPS, the proposed CBCDS algorithms can reduce fractional pel search points up to 81.4%, respectively with the PSNR lost about 0.05dB.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.193-193
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• 2019

기후변화로 인한 거대 자연재해 발생의 위험이 지속적으로 증가하고 있으며, 국외의 경우 주요정부기관, 보험사 및 연구기관 중심으로 자연재해 피해예측 모델을 개발하여 사용하고 있다. 침수사고 인한 피해는 건물은 물론이고 가재도구, 재고자산, 기계시설 등의 내용물에서도 발생하며, 건축물 신축단가 등을 이용해 비교적 쉽게 자산가치를 산정할 수 있는 건물구조물과 다르게, 건물내용물의 자산가치는 시설물의 업종, 용도, 사용자 특성 등에 따라 변동성이 큰 특징이 있다. 내용물의 피해액 추정을 위해 자연재해 피해예측 모델은 건물 구조물과 내용물 가치의 비율인 CSVR(Contents to Structure Value Ratio)을 사용하며, CSVR은 시설물 용도에 따른 자산가치평가 통계를 이용해 산정할 수 있다. 충분한 자산가치평가 DB를 확보할 경우 CSVR의 정확도 확보가 가능할 것이며, 이를 위해 국내에서는 민간보험사의 재물보험 계약 4만여건의 건물, 내용물 보험가입금액을 행정안전부 도로명전자지도에서 분류하는 건물 용도에 따라 분석한 연구결과가 있다. 하지만, 일반적으로 보험가입단계에서 대략적으로 추정하는 보험가입금액과 실제 자산의 가치는 차이가 있을 수 있지만, 보험가입물건의 실제 자산가치는 일부만 DB화 되어 있는 단점이 있다. 본 연구에서는 사고 발생 후 작성되는 손해사정보고서에서 평가한 정확한 자산가치 DB를 수집하여, 보험가입금액을 기준으로 산정한 CSVR의 결과와 비교하였다. 손해사정보고서에서 평가한 실제 자산가치를 기준으로 분석한 CSVR과 보험가입금액을 기준으로 산정한 CSVR은, 업종에 따라 유사하거나 큰 차이를 보이는 경우도 있었으며, 침수로 인한 정확한 피해액 추정을 위해서는 보다 양질의 DB확보를 통한 CSVR의 정확도 확보가 필요한 것으로 분석되었다.

• Korean Journal of Remote Sensing
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• v.33 no.2
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• pp.171-187
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• 2017

Thisstudy presentsthe method for deriving surface visibility from satellite retrieved AOD. To do thisthe height of aerosol distribution isrequired. This distribution would be in thisstudy represented by the two heights; if there is a discrete atmospheric layer, which is physically separated from the above layer, the upper height of the layer is assumed as Aerosol Layer Height(ALH). In this case there is clear minimum in the Relative Humanity vertical distribution. Otherwise PBLH(Planetary Boundary Layer Height) is used. These heights are obtained from the forecast data of Regional Data Assimilation and Prediction System(RDAPS). The surface visibility is estimated from MODIS AOD and ALH/PBLH, using Koschmieder's Law for ALH and the empirical relations for PBLH. The estimated visibility are evaluated from the visibility measurements of 9 eve-measurement stations and 17 PWD22 stations for the spring of 2015 and 2016. Verification of the estimated visibility shows that there are considerable differencesin statistical verification value depending on stations, years, morning(Terra)/afternoon(Aqua). The better results are shown in the midwest part of korean peninsula for Terra of 2016. The results are summarized as; correlation coefficients of higher than 0.65, for low visibility RMSE of 3.62 km and ME of 2.29 km or less, POD of higher than 0.65 and FAR of 0.5 or less. Verification results were better with increase in the number of low-visibility data.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.29 no.5
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• pp.366-374
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• 2018

In cases of airborne equipped with SAR, because the occurrence of motion is inevitable, it is necessary to apply autofocus techniques to SAR images to improve the image performance degradations caused by residual errors. Herein, a robust autofocus algorithm based on the minimum entropy criteria is proposed for the real SAR data in the spotlight mode. The convergence condition of the phase error estimation is checked at every iteration and if it is violated, the size of the phase error estimation is adjusted to the convergence condition. The real SAR raw data is used to demonstrate the excellent performance of the proposed algorithm.

• Applied Biological Chemistry
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• v.32 no.4
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• pp.386-392
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• 1989

The adsorption of $NH_4\;^+$ and $Zn^{2+}$ by four Korean zeolites, the major species of which are clinoptilolite, clinoptilolite with mordenite, mordenite with clinoptilolite, and mordenite was measured in different concentrations of solutions of $NH_4\;^+$ and $Zn^{2+}$, and their mixtures. The adsorption of $NH_4\;^+$ was greater than that $Zn^{2+}$ far all samples at the concentrations of the added solutions from $1\;to\;7{\times}10^{-3}N$ and this difference was greater at the higher concentrations. Also, $Zn^{2+}$ adsorption by samples was decreased by the presence of $NH_4\;^+$, but that of $NH_4\;^+$ by the presence of $Zn^{2+}$ was not. The extent of $NH_4\;^+$ selectivity among samples was increased in order of clinoptilolite with mordenite$NH_4\;^+$ adsorbed by six successive equilibrations with the solution containing both $NH_4\;^+$ and $Zn^{2+}$ each at a concentration of $3{\times}10^{-3}N$ were in range from 43.7 to 50.4 me/100g, whereas those amounts of $Zn^{2+}$ were in the range from 6.6 to 17.0 me/100g. It was suggested from these results that mordenite and clinoptilolite, particularly the former, can be used for removal of $NH_4\;^+$ from municipal wastewater and those zeolites treated with wastewater can be applied to agricultural land.

• Korean Journal of Soil Science and Fertilizer
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• v.18 no.2
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• pp.161-168
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• 1985

The 38 typical profiles representing volcanic ash soils (VAS) in Korea were subjected to multiple regression analysis to determine the relative contribution of organic matter (OM) and clay content to total cation-exchange capacity (CEC). This study, also, was examined the soil characteristics of VAS. VAS in Korea could be classified into 3 Orders, 5 Suborders, 8 Great groups, 15 Subgroups, 23 Families, and 38 Series. Total area of VAS was 139, 162ha and the most of them occured in Jeju Island. Simple correlation coefficients showed significance relations at OM-CEC and clay-CEC in top-soil of VAS. The partial regression coefficients indicated that CEC for each gram of OM as calculated to be 0.46 and 0.40 me per of topsoils for the black volcanic ash soils (BVAS) and the very dark brown volcanic ash soils (VDBVAS), respectively. The clay contributions of topsoils for BVAD and VDBVAS were 0.11 and 0.19 me. The standard partial regression coefficients appeared that OM content of topsoil for BVAS and VDBVAS was 2.97 and 1.23 times as important as clay content in predicting CEC.

• Korean Journal of Soil Science and Fertilizer
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• v.24 no.1
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• pp.10-16
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• 1991

Mean values and the relative contribution of OM and clay to total CEC for soil textural classes were obtained from the analytical results of the typical profiles(sample size : 3,182) which were described by the detailed soil maps througthout Korea with an exception of Jeju island. The results are below. 1. Mean values of the soil CEC were 2.9 for S, 4.7 for LS, 6.7 for SL, 9.0 for L, 10.2 for SiL, 10.7 for CL, 8.6 for SCL, 12.2 for SiCL, 16.1 for SiC, and 17.4me/100gr for C, respectively. 2. The multiple regression equation and partial regression coefficient tended to show that OM and clay had the highly significant effect on CEC. 3. Clay content of the coarse, moderately coarse, and moderately fine soil was 1.10 to 1.89 times as important as OM content whereas OM of the medium and fine soil 1.09 to 2.94 times as important as clay in predicting CEC. 4. Mean values of CEC of the humus and clay in Korean soils were about 62.9 and 24.0me/100gr, respectively.