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민계료,배도선,Min Kye-Ryo,Bai Do-Sun 한국국방경영분석학회 1976 한국국방경영분석학회지 Vol.2 No.1
The artillery fire is characterized by great damage that can be inflicted simultaneously to an area through concentrated firing. The field artillery guns used in R.O.K. Army are generally old. Thus high values of their velocity errors cause wide dispersion of shell landings. Therefore effects of the concentrated firing is lessened. In this paper a general model which considers all error factors involved in firing in general, is established first. Then from this a basic model which includes the errors involved in concentrated firing only, such as the ballistic error, velocity error, target density function, and damage function, is extracted. Among many weapon systems now in use a specific one called gun 'A' is selected and its concentration effects are measured through computer simulation. The results show that as the velocity error of a battery increases, its target coverage capability, i. e. concentration effect, decreases. Therefore the need arises for the field artillery commander to know beforehand characteristics, i.e. velocity errors, of the guns in his unit and also to carefully examine the problem of battery arrangement with the gun characteristics in mind in order to maximize the damage effects of his artillery unit.
석유화학공업의 수요예측 및 분석 - 다변수회귀분석 및 소비원단위를 중심으로 -
김형욱,배도선 ( Hyeong Ug Kim,Do Sun Bai ) 한국화학공학회 1976 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.14 No.5
A good business forecasting or demand forecasting can contribute greatly to a nation`s economic planning. For a desirable economic planning, it is necessary to be able to predict fufure business conditions. An accurate demand forecasting for many goods can help achieve the nation`s economic planning by eliminating material wastages and controlling unnecessary oversupplies of material which are caused by unbalance in the demand and supply relationships. In an attempt to satisfy these needs, the present paper purports to conduct a demand forecasting (1976-1981) for the overall products of domestic petro-chemical industry. Thus the following methods are used as the appropriate approach for this purpose. (1) First, as the goods which are needed for this study, 18 items of final products (ten items of synthetic resins, four of synthetic fibers and four of synthetic rubbers) and 32 items of intermediate products and raw materials are selected among the overall products of the industry. (2) A multiple regression analysis is conducted to forecast demand for the final products. (3) Manufacturing consumption coefficients and modifier coefficients are used to forecast demand for the intermediate products and raw materials.