중소기업의 스마트제조혁신 방안

김철회 대한지리학회 2019 대한지리학회 학술대회논문집 Vol.2019 No.11

물산업 클러스터 형성방안

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

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.-

2018년 물관리체계 개편, 변화와유지의 영향요인은 무엇인가?: 옹호연합모형(ACF)와 정책창도자모형(PEM)의 통합모형을 중심으로

김철회 서울대학교 한국행정연구소 2018 行政論叢 Vol.56 No.4

This study analyzed the factors maintaining and changing the Korean water management system based on the Advocacy Coalition Framework (ACF) and the Policy Entrepreneurship Model (PEM). Korean water management functions have been distributed among five ministries, but coordination and integration of the functions have not been working well for 25 years. However, the water management system was changed in 2018 to transfer water quantity functions from the Ministry of Land, Infrastructure, and Transportation (MoLIT) to the Ministry of Environment (MoE) and to build a committee of national water management under the President. What were the factors maintaining and changing the water management system? The analysis was based on ACF and PEM. First, a ‘development centered advocate coalition’ and a ‘conservation centered advocate coalition’ have competed in the light of policy subsystems for last 25 years. The former were made up of civil engineering and construction communities that took an economic approach and were supported by MoLIT, while the latter were made up of water quality researchers and environmental movement organizations that took an ecological approach and were supported by MoE. Second, the key factors maintaining the system were the power dominance of MoLIT over MoE and the persistence of past interest relations. Third, the key factors for changing the system externally were the ‘candle light revolution’ and regime change in 2016-2017, public opposition to President Lee’s four-river project, and political compromise among negotiation groups in the national assembly. Fourth, National Assembly member Joo Seung Yong played a key role as a policy entrepreneur changing the water management system. These results support that integrating model of ACF and PEM is a useful framework for analyzing the factors maintaining and changing policy and institutional systems. 본 연구는 2018년 5월 30여년 만에 이루어진 물관리체계의 변화와 유지에 영향을 미친 요인을 옹호연합모형(ACF)과 정책창도자모형(PEM)을 통합한 모형을 설정하고, 정책하위체계, 외부적 측면의 유지요인과 변화요인, 정책창도자의 역할을 중심으로 분석하였다. 분석결과, 첫째, 정책하위체계는 ‘개발중심’ 옹호연합과 ‘보전중심’ 옹호연합이 갈등해왔으며, 전자는 물관리의 문제를 경제적 관점에서 접근하고 국토부, 토목 및 건설 관련자의 지지를 받은 반면, 후자는 물관리 문제를 생태적 관점에서 접근하고 환경부, 환경 및 수질 관련자, 환경시민단체의 지지를 받아온 것으로 나타났다. 둘째, 물관리체계의 외부적 유지요인으로 국토부의 환경부에 대한 권력우위, 1990년대에 형성된 이해관계의 지속성 등이 영향을 미친 것으로 나타났다. 셋째, 물관리체계의 외부적 변화요인은 2016-2017년도에 발생했던 촛불혁명과 2017년도의 정권교체, 4대강사업에 대한 반대여론, 그리고 2018년도의 여야 교섭단체 사이의 정치적 타협 등인 것으로 나타났다. 넷째, 국회 내에서 물관리체계의 변동을 주도한 것은 정책창도자의 역할을 수행한 주승용의원이었던 것으로 분석되었다. 결론적으로 2018년 5월에 이루어진 물관리체계의 변동은 국회라는 조직의 관점에서 볼 때, 외부적으로 촛불혁명, 정권교체와 같은 사건의 발생이 변화의 기회를 제공했고, 내부적으로 야당의원이었던 주승용의원이 정책창도자로서 주도적인 역할을 수행함으로써 가능했던 것으로 분석된다. 반면 모든 물관련 기능을 하나의 부처로 통합할 필요성이 있었음에도 불구하고, 국토부의 하천관리, 농림부의 농업용수, 산업부의 수력발전, 행안부의 방재 기능이 그대로 유지되었는데, 이는 부처의 기득권을 유지하기 위한 관료와 이익집단을 포함한 정책지지연합의 저항이 여전히 크게 작용했기 때문인 것으로 분석된다.

취락구조 개선 주택개량 사업의 합리적 추진방안

김철회,박충신,김정부,한창영,손병규,Kim, Cheol-Hoe,Park, Chung-Sin,Kim, Jeong-Bu,Han, Chang-Yeong,Son, Byeong-Gyu 한국과학기술단체총연합회 1978 과학과 기술 Vol.11 No.11

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