• 한국국방경영분석학회지
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• 제7권2호
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• pp.63-99
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• 1981

The generalized goal decomposition model proposed by Ruefli as a single period decision model is presented for the purpose of a review and extended to make a multiple period planning model. The multiple period planning model in the three level organization is formulated with, linear goal deviations by introducing the goal programming method. Dynamic formulation using the generalized goal decomposition model for each single period problem is also presented. An iterative search algorithm is presented as an appropriate solution method of the dynamic formulation of the multiple period planning model.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.260-260
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• 2011

SWAT is semi-distributed and continuous-time distributed simulation watershed model, which can simulate point and nonpoint source pollutants as well as hydrology and water quality. It was developed to predict the effects of alternative management decisions on water, sediment, and chemical yields with reasonable accuracy. It is able to predict and manage hydrology, sediments, nutrients, and pesticides with Best Management Practices (BMPs) in a watershed. SWAT model also has potential for use in ungauged basins to predict streamflow and baseflow from saturated source area in watersheds. According to various cultivation practices and climate change, SWAT model is available to analyze relative change in hydrology and water quality. In order to establish optimum management of water quality, both monitering and modeling have been conducted actively using SWAT model. As SWAT model is computer program to simulate a lot of natural phenomena, it has limitation to predict and reflect them with on hundred percent accuracy. Thus, it is possible to analyze the effect of BMPs in the watershed where users want to simulate hydrology and water quality only if model accuracy and applicability are assessed first of all and the result of it is well for the study watershed. For assessment of SWAT applicability, most researchers have used $R^2$ and Nash and Sutcliffe Efficiency (NSE). $R^2$ and NSE are likely to show different results according to a warm up period and sometimes its results are very different. There have been hardly any studies of whether warm up period can affect simulation results in SWAT model. In this study, how warm up period has a effect on SWAT results was analyzed and a appropriate warm up period was suggested. Lots of SWAT results were compared after using measured data of Soyanggang-dam watershed and applying various warm up period (0 ~ 10 year(s)). As a result of this study, when there was no warm up period, $R^2$ and NSE were 0.645, 0.602 respectively, when warm up period was 2 years, $R^2$ and NSE were 0.648, 0.632, and when warm up period was 4 years, $R^2$ and NSE were 0.663, 0.652 separately. Through this study, sensitive analysis of warm up period in SWAT model was conducted, and this study could give a guideline able to simulate hydrology and water quality for more accuracy than before as users change a lot of warm up periods as well as any simulation parameters.

• 산업경영시스템학회지
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• 제32권4호
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• pp.53-62
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• 2009

Lee[15] examined quantity discount contracts between a manufacturer and a retailer in a stochastic, two-period inventory model where quantity discounts are provided based on the previous order size. During the two periods, the retailer faces stochastic (truncated Poisson distributed) demands and he/she places orders to meet the demands. The manufacturer provides for the retailer a price discount for the second period order if its quantity exceeds the first period order quantity. In this paper we extend the above two-period model to a k-period one (where k < 2) and propose a stochastic nonlinear mixed binary integer program for it. In order to make the program tractable, the nonlinear term involving the sum of truncated Poisson cumulative probability function values over a certain range of demand is approximated by an i-interval piecewise linear function. With the value of i selected and fixed, the piecewise linear function is determined using an evolutionary algorithm where its fitness to the original nonlinear term is maximized. The resulting piecewise linear mixed binary integer program is then transformed to a mixed binary integer linear program. With the k-period model developed, we suggest a solution procedure of receding horizon control style to solve n-period (n < k) order decision problems. We implement Lee's two-period model and the proposed k-period model for the use in receding horizon control style to solve n-period order decision problems, and compare between the two models in terms of the pattern of order quantities and the total profits. Our computational study shows that the proposed model is superior to the two-period model with respect to the total profits, and that order quantities from the proposed model have higher fluctuations over periods.

• 한국식품저장유통학회지
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• 제2권1호
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• pp.155-161
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• 1995

We examined the drying characteristics and the drying rate model equation of garlic(allium sativum L.) using computer aided convective drying. The drying chanacteristic curve of garlic divided into constant rate drying period and 2 stage of falling rate drying period. The drying rate was fairly affected by hot air temperatures during the total drying period, but air flow rates has nearly no effect on the drying rate except initial drying period. Of the several model equation, r2 values of page model equation was the highest, and the estimated drying profiles were comparatively coincided with the observed drying profiles. Page model equation was suitable to predict the drying rate and moisture content during drying of sliced garlic.

• 한국산림과학회지
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• 제83권2호
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• pp.121-132
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• 1994

윤벌기(輪伐期)는 각 영급이 존재하는 삼림의 생산(生産)을 조절하기 위해서 설정된 삼림경영목표(森林經營目標)중 가장 중요한 인자중의 하나이다. 본 연구(硏究)에서는 특히 최적화(最適化)계산의 형태로 법정임(法正林)모델에서의 최적윤벌기(最適輪伐期)가 추정(推定)되었다. 그리고 법정림모델과의 연계하에 자연상태에서 여러가지 위험조건에 처해있는 현실임분(現實林分)에 더욱 접근시키기 위하여 목표임(目標林)모델이 간단작업급삼림(間斷作業級森林)모델(모델 1)과 연년보속작업급삼림(連年保續作業級森林)모델(모델 2)의 두가지로 나뉘어 전개되었으며 이 두 모델에 의해 최적윤벌기가 계산되었다. 동시에 법정림모델, 목표림모델 1, 2에 의해 추정된 최적윤벌기가 상호 비교되었다. 이때 강원대학교(江原大學校) 임과대학(林科大學) 부속(附屬) 연습림(演習林) 내(內) 잣나무임분이 최적윤벌기(最適輪伐期) 계산의 대상이 되었다.

• Journal of Advanced Marine Engineering and Technology
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• 제22권6호
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• pp.908-919
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• 1998

This paper describes implementation and simulation of Chua's oscillator circuits with a cubic non-linear resistor. The two-terminal nonlinear resistor NR consists of one Op Amp two multipliers and five resistors. The Chua's oscillator circuit is implemented with analog electronic devices. Period-1 limit cycle period-2 limit cycle period-4 limit cycle and spiral attractor double-scroll attractor and 2-2 window are observed experimentally from the laboratory model and simulated by computer for the presented model. Comparing the result of experiments and simulations the spectrums are satisfied.

• 한국산학기술학회논문지
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• 제20권10호
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• pp.47-53
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• 2019

본 연구는 기존 연구에서 초점을 맞춘 1기간 모형과는 달리 2기간 모형에서 위험회피성향의 증가에 따라 노력의 투입에 따라 손실의 크기와 발생확률이 동시에 감소하는 손실통제 노력의 변화를 살펴보고 있다. 노력의 투입과 손실의 발생시점간의 시점 분리를 고려한 본 연구의 가정은 장기에서 위험회피성향의 영향을 관찰할 수 있게 해준다. 그 결과 첫째, 손실함수 및 비용함수에 추가적인 제약이 존재했던 단기 모형인 기존 연구와는 달리 장기에서는 위험회피성향의 증가가 손실통제 노력의 증가를 가져왔다. 둘째, 손실통제 노력을 자가보험 노력 및 자가보호 노력으로 세분화해 볼 때, 위험회피성향의 증가가 자가보험 노력은 증가시키나 자가보호에 미치는 영향이 불분명하던 기존 단기모형의 결과와는 달리, 장기에서는 위험회피성향의 증가로 인해 자가보험 노력 및 자가보호 노력이 모두 증가한다는 것을 알 수 있다. 셋째, 평균이 0인 배경위험이 존재하는 경우 2기간 모형에서 위험회피성향의 증가에 따라 손실통제 노력이 증가할 충분조건은 효용함수가 신중성 조건을 나타내는 것이다.

• 수완나부미
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• 제7권2호
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• pp.177-196
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• 2015

This study on Mahāsammata Model of Kingship in Mrauk U Period from the 15^th to 18^th centuries attempts to demonstrate how the kings of Mrauk U or royal officials tried to claim this legitimating model of kingship and how they accepted this model of kingship and under what conditions the legitimate order of this model was lost. Vital to the adaptation of Mahāsammata model of kingship in the Mrauk U period is the claim that Mrauk U's rulers were direct lineal descendants of the first Buddhist king of the world, Mahāsammata and thence the clan of Gotama Buddha, Sākiya clan. This ideological model of kingship has a recognizable effect on the political stability of Mrauk U kingdom. While the Mahāsammata model of kingship performed as a belief of legitimizing kingship within the arena of royal court, the kings of Mrauk U tried to perform the related models of Mahāsammata, the ideal models of Buddhist kingship as dhammarāja and a cakkavatti. However, the conditions that fail to maintain the Mahāsammata model of kingship saw the weakening of the other related models of kingship, which eventually led to the decline of the kingdom.

• 한국농공학회지
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• 제33권2호
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• pp.51-60
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• 1991

The main objective of this study is to examine the adaptability for the large watershed of the storage tank model which can be applied for the analysis of both long and short terms runoff developed on the basis of hydrologic data for a smaH mountaineous watershed. The results obtained in this study are summarized as follows ; 1. Areal rainfalls of the Dae Chong watershed were calculated by Thiessen method composed of 9 Thiessen networks. 2. Optimal parameters for two types, Model A and Model B of tank models were derived through calibration procedure by standardized Powell method. 3. Monthly simulated flows of Model B are seemed to be closer to the monthly observed than those of Model A during calibration period in the long terms runoff. 4. Relative errors for the simulated flood flows of Model B were apperaed as lower percentage to the observed than those of Model A during calibration period in the short terms runoff. 5. Daily simulated hydrographs of Model B are seemed to be closer to the daily observed than those of Model A during verification period in the long terms runoff. Significance of Model B was highly acknowledged in comparison with Model A in the correlation analysis between annual observed and annual simulated runoff. 6. Reproducibility of simulated flows for Model B is generally seemed to be better than that of Model A during calibration period in the short terms runoff. 7. It can be concluded that reproducibility of Model B is superior to that of Model A in the long and short terms runoff even a large watershed like the result of the small one. 8. It was verified that adaptability for the large watershed of Model B is superior to that of Model A between the two models which were developed by a small watershed characteristics for both long and short terms runoff. 9. Further study for getting a suitable tank model is desirable to be established by the decision, calibration method of initial parameters of tank model and by additional application of another watershed with different watersheds and meterological characteristics.

• 한국경영과학회지
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• 제6권2호
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• pp.35-49
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• 1981

This paper is concerned with developing a Multi-period Behavioral Model for the portfolio selection problem. The unique feature of the model is that it treats a number of factors and decision variables considered germane in decision making on an interrelated basis. The formulated problem has the structure of a Chance Constrained programming Model. Then empoloying arguments of Central Limit Theorem and normality assumption the stochastic model is reduced to that of a Non-Linear Programming Model. Finally, a number of interesting properties for the reduced model are established.