물산업 클러스터 형성방안

김철회 서울행정학회 2011 서울행정학회 학술대회 발표논문집 Vol.2011 No.10

대전광역시 첨단의료복합단지 유치실패의 원인분석

김철회,박경순,이진 한남대학교 사회과학연구소 2009 사회과학연구 Vol.18 No.-

운용적 상호운용성 수준 달성을 위한 한국형전술데이터링크의 확장형 e-LISI 모델 적용방안 연구

김철회,김승춘,이재각 한국방위산업학회 2015 韓國防衛産業學會誌 Vol.22 No.4

본 논문에서는 한국군의 상호운용성 평가체계의 한계점을 극복하기 위해 상호운용성 평가의 근간이 되는 LISI 모델을 다양한 관점에서 분석하여 현재의 한계점을 극복하고 운용적 상호운용성을 확보할 수 있는 대안으로 확장형 e-LISI 모델을 제시하였다. 특히 다양한 타체계 연동성을 가지며 기존 LISI 평가결과를 확보할 수 있는 전술데이터링크체계를 확장형 e-LISI 모델의 평가대상으로 선정하여 일반/특정 상호운용성을 평가한 결과 LISI 모델의 제약사항이었던 개념적, 조직적 상호운용성 평가가 가능하며 시스템의 특성을 설명할 수 있는 것을 확인하였다. 확장형 e-LISI 모델은 현재 미군의 움직임처럼 비기술적 평가를 포함한 SOSI로 이동을 위한 교두보 역할을 수행할 것이다. 본 연구는 향후 한국군의 상호운용성 평가시 전술데이터링크 모델 및 체계를 개선하는 데 긍정적인 대안이 될 것으로 기대한다. In this paper, e-LISI model was proposed to overcome the limitation of weapon system interoperability assessment system currently utilized by Korean military and the way is to analyzed the LISI model which is based interoperability assessment in the various points of view to overcome of the current system and make sure of the alternative. In particular, TDL system which is linked with various other systems and could get a assessment result of the current LISI model is selected and tested general/special interoperability assessment by enhanced e-LISI model. It is confirmed that e-LISI model can explain the feature of system and assess the conceptual and organical interoperability assessment which was the constraints of LISI model. Enhanced e-LISI model will be a bridgehead to move to SOSI which includes the nontechnical assessment as the currently movement of US military. This study is expected to be positive alternative to improve the TDL model and system hereafter when there are interoperability assessment of Korea military.

포항2열연 조압연스탠트 ( RM ) 유압연시스템의 개발과 적용 ( Application of Hot rolling oil lubrication on RM stands at Pohang Hot Rolling Mill No . 2 )

김철회,조준길,유문석,한영환 한국트라이볼로지학회 1997 한국트라이볼로지학회 학술대회 Vol.26 No.-

1.3 μm InAlGaAs / InAlGaAs MQW-FP-LD의 발진개시전류와 온도특성 연구 ( The analysis of threshold current and temperature properties in 1.3 μm InAlGaAs / InAlGaAs MQW-FP-LD )

김철회,임채록,심종인,한백형 한국통신학회 1995 한국통신학회 기타 간행물 Vol.- No.-

TDR-mirror을 사용한 1.3μm InGaAlAs / InP SL-MQW FP-LD의 온도특성 해석 ( Analysis of temperature characteristics in 1.3μm InGaAlAs / InP SL-MQW FP-LD with TDR ( temperature dependence reflectivity ) - mirror )

김철회,심종인,한백형 한국통신학회 1996 광전자공학회 학술회의 Vol.3 No.1

배수개선공법개발에 관한 연구(I) -각종 지하배수용 암거재료의 배수성능-

김철회,이근후,유시조,서원명 한국농공학회 1979 한국농공학회논문집 Vol.21 No.3

I. Title of the Study Studies on the Development of Improved Subsurface Drainage Methods. -Drainage Performance of Various Subsurface Drain Materials- II. Object of the Study Studies were carried out to select the drain material having the highest performance of drainage; And to develop the water budget model which is necessary for the planning of the drainage project and the establishment of water management standards in the water-logged paddy field. III. Content and Scope of the Study 1. The experiment was carried out in the laboratory by using a sand tank model. The drainage performance of various drain materials was compared evaluated. 2. A water budget model was established. Various parameters necessary for the model were investigated by analyzing existing data and measured data from the experimental field. The adaptability of the model was evaluated by comparing the estimated values to the field data. IV. Results and Recommendations 1. A corrugated tube enveloped with gravel or mat showed the highest drainage performance among the eight materials submmitted for the experiment. 2. The drainage performance of the long cement tile(50 cm long) was higher than that of the short cement tile(25 cm long). 3. Rice bran was superior to gravel in its' drain performance. 4. No difference was shown between a grave envelope and a P.V.C. wool mat in their performance of drainage. Continues investigation is needed to clarify the envelope performance. 5. All the results described above were obtained from the laboratory tests. A field test is recommended to confirm the results obtained. 6. As a water balance model of a given soil profile, the soil moisture depletion D, could be represented as follows; $$D=\Sigma\limit_{t=1}^{n}(Et-R_{\ell}-I+W_d)..........(17)$$ 7. Among the various empirical formulae for potential evapotranspiration, Penman's formular was best fit to the data observed with the evaporation pans in Jinju area. High degree of positive correlation between Penman;s predicted data and observed data was confirmed. The regression equation was Y=1.4X-22.86, where Y represents evaporation rate from small pan, in mm/100 days, and X represents potential evapotranspiration rate estimated by Penman's formular. The coefficient of correlation was r=0.94.** 8. To estimate evapotranspiration in the field, the consumptive use coefficient, Kc, was introduced. Kc was defined by the function of the characteristics of the crop soil as follows; $Kc=Kco{\cdot}Ka+Ks..........(20)$ where, Kco, Ka ans Ks represents the crop coefficient, the soil moisture coefficient, and the correction coefficient, respectively. The value of Kco and Ka was obtained from the Fig.16 and the Fig.17, respectively. And, if $Kco{\cdot}Ka{\geq}1.0,$ then Ks=0, otherwise, Ks value was estimated by using the relation; $Ks=1-Kco{\cdot}Ka$. 9. Into type formular, $r_t=\frac{R_{24}}{24}(\frac{b}{\sqrt{t}+a})$, was the best fit one to estimate the probable rainfall intensity when daily rainfall and rainfall durations are given as input data, The coefficient a and b are shown on the Table 16. 10. Japanese type formular, $I_t=\frac{b}{\sqrt{t}+a}$, was the best fit one to estimate the probable rainfall intensity when the rainfall duration only was given. The coefficient a and b are shown on the Table 17. 11. Effective rainfall, Re, was estimated by using following relationships; Re=D, if $R-D\geq}0$, otherwise, Re=R. 12. The difference of rainfall amount from soil moisture depletion was considered as the amount of drainage required. In this case, when Wd=O, Equation 24 was used, otherwise two to three days of lag time was considered and correction was made by use of storage coefficient. 13. To evaluate the model, measured data and estimated data was compared, and relative error was computed. 5.5 percent The relative error was 5.5 percent. 14. By considering the water budget in Jinju area, it was shown th

전작물의 필요수량 결정을 위한 연구

김철회,유시창,이근후,서원명 한국농공학회 1980 한국농공학회논문집 Vol.22 No.3

This study was carried out to investigate the consumptive use of water for red peppers and soy beans. The correlation between the soil moisture contents and the selected meteorological factors during the growing season was analyzed. Characteristics of the drought at Jinju, Yeosu, Gwangju, and Mokpo area were figured out in view of frequency analysis. The results obtained from this study could be used as a reasonable criteria for the estimation of the duty of water in the design of upland irrigation systems. Obtained results are summarized as follows: 1. Red peppers were grown at the three levels of soil moisture contents; 75 percent, 50 percent, and 25 percent, respectively. The red pepper grown at the 75 percent of soil moisture content showed the highest yield. The total evapotranspiration during the growing season from red peppers was 471. lmm, which was 86.6mm less than the pan evaporation. 2. The soy bean grown at 75 percent soil moisture content showed the highest yield, although there was no signicant difference in yields among treatments. The total evapotranspiration during the growing season from the soy bean was 342.8 mm, which was 119.2mm less than the pan evaporation. 3. Coefficients of consumptive use(k) and meteorological data are shown on Table-9. 4. The significant correlations between the evapotranspiration and the humidity and daily temperature range were observed. Results are shown on Table-11.. Evaporanspiration can be easily estimated from the humidity and daily temperature range by using the equation...... (1) Ept=4.808-0.041H+0.207T.......(1) where, Ept; evapotranspiration(mm/day) H ; humidity(%) T ; daily temperature range ($^{\circ}C$) 5. The variations of soil moisture content during the growing season at the soil depth of 5cm, 15cm, and 45cm are shown on Fig. 4~9. The results of the correlation analysis between the evapotranspiration from the crops and the soil moisture content are shown on Table-12. The evapotranspiration can be estimated from soil moisture content at the different depth of the soil by using the equation....... (2). Ept = 3.433 - 0. 364M1 +0. 359M$_2$- 0. 055M$_3$....... (2) where, Ept; evapotranspiration (mm/day) M1 soil moisture meter reading at 5cm depth M$_2$; " 15cm " M$_2$; " 40cm " 6. The estimated probab]e successive dry days in selected areas are shown on Table 13. Gumbel-Chow method was used to calculate the probable successive dry days. Further investigation are required to obtain the more detailed and reliable results.

토양수분함량 예측 및 계획관개 모의 모형 개발에 관한 연구(I)

김철회,고재군 한국농공학회 1977 한국농공학회논문집 Vol.19 No.1

Two types of model were established in order to product the soil moisture content by which information on irrigation could be obtained. Model-I was to represent the soil moisture depletion and was established based on the concept of water balance in a given soil profile. Model-II was a mathematical model derived from the analysis of soil moisture variation curves which were drawn from the observed data. In establishing the Model-I, the method and procedure to estimate parameters for the determination of the variables such as evapotranspirations, effective rainfalls, and drainage amounts were discussed. Empirical equations representing soil moisture variation curves were derived from the observed data as the Model-II. The procedure for forecasting timing and amounts of irrigation under the given soil moisture content was discussed. The established models were checked by comparing the observed data with those predicted by the model. Obtained results are summarized as follows: 1. As a water balance model of a given soil profile, the soil moisture depletion D, could be represented as the equation(2). 2. Among the various empirical formulae for potential evapotranspiration (Etp), Penman's formula was best fit to the data observed with the evaporation pans and tanks in Suweon area. High degree of positive correlation between Penman's predicted data and observed data with a large evaporation pan was confirmed. and the regression enquation was Y=0.7436X+17.2918, where Y represents evaporation rate from large evaporation pan, in mm/10days, and X represents potential evapotranspiration rate estimated by use of Penman's formula. 3. Evapotranspiration, Et, could be estimated from the potential evapotranspiration, Etp, by introducing the consumptive use coefficient, Kc, which was repre sensed by the following relationship: Kc=Kco$.$Ka+Ks‥‥‥(Eq. 6) where Kco : crop coefficient Ka : coefficient depending on the soil moisture content Ks : correction coefficient a. Crop coefficient. Kco. Crop coefficients of barley, bean, and wheat for each growth stage were found to be dependent on the crop. b. Coefficient depending on the soil moisture content, Ka. The values of Ka for clay loam, sandy loam, and loamy sand revealed a similar tendency to those of Pierce type. c. Correction coefficent, Ks. Following relationships were established to estimate Ks values: Ks=Kc-Kco$.$Ka, where Ks=0 if Kc,=Kco$.$K0$\geq$1.0, otherwise Ks=1-Kco$.$Ka 4. Effective rainfall, Re, was estimated by using following relationships : Re=D, if R-D$\geq$0, otherwise, Re=R 5. The difference between rainfall, R, and the soil moisture depletion D, was taken as drainage amount, Wd. {{{{D= SUM from { {i }=1} to n (Et-Re-I+Wd)}}}} if Wd=0, otherwise, {{{{D= SUM from { {i }=tf} to n (Et-Re-I+Wd)}}}} where tf=2∼3 days. 6. The curves and their corresponding empirical equations for the variation of soil moisture depending on the soil types, soil depths are shown on Fig. 8 (a,b.c,d). The general mathematical model on soil moisture variation depending on seasons, weather, and soil types were as follow: {{{{SMC= SUM ( { C}_{i }Exp( { - lambda }_{i } { t}_{i } )+ { Re}_{i } - { Excess}_{i } )}}}} where SMC : soil moisture content C : constant depending on an initial soil moisture content $\lambda$ : constant depending on season t : time Re : effective rainfall Excess : drainage and excess soil moisture other than drainage. The values of $\lambda$ are shown on Table 1. 7. The timing and amount of irrigation could be predicted by the equation (9-a) and (9-b,c), respectively. 8. Under the given conditions, the model for scheduling irrigation was completed. Fig. 9 show computer flow charts of the model. a. To estimate a potential evapotranspiration, Penman's equation was used if a complete observed meteorological data were available, and Jensen-Haise's equation was used if a forecasted meteorologic

토양수분함량 예측 및 계획관개 모의 모형 개발에 관한 연구(II)

김철회,고재군 한국농공학회 1977 한국농공학회논문집 Vol.19 No.2