• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.02a
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• pp.190-195
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• 2000

• Journal of Biosystems Engineering
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• v.23 no.2
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• pp.135-146
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• 1998

The equation to predict the soil temprature of Pusan and Chinju city as a function of time and soil depth for the geothermal energy utilization system and agriculture was devised. The equation was $T(x,t)\;=\;Tm\;-\;To{\cdot}ExP(-{\xi}){\cdot}cos{{\omega}{\cdot}[t-to-x/(2{\cdot}{\alpha}{\cdot}{\omega})^{0.5}]}$ with the soil thermal diffusivity, ${\alpha},\;of\;0.4\;\textrm{m}^2/day,\;0.0375\;\textrm{m}^2/day$ and phase zero point, to, of 24 days, 22.4 days in Pusan and Chinju city, respectively, during ten years from 1987 to 1996. The predicted and measured soil temperatures agreed well with the coefficient of determination of 0.95 at the soil depth of 0.0, 0.5, 1.0, 3.0, 5.0 m. The maximum and minimum temperature in Pusan 3.7, $30.1^{\circ}C$ at soil surface and 14.3, $18.0^{\circ}C$ at the depth of 5.0 m. The total mean temperature of soil in Pusan and Chinju city was about 16.3, $16.0^{\circ}C$, respectively.

• Korean Journal of Soil Science and Fertilizer
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• v.23 no.2
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• pp.87-93
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• 1990

A statistical model to predict soil temperature from the ambient meteorological factors including mean, maximum and minimum air temperatures, precipitation, wind speed and snow depth combined with Fourier time series expansion was developed with the data measured at the Suwon Meteorolical Service from 1979 to 1988. The stepwise elimination technique was used for statistical analysis. For the yearly oscillation model for soil temperature with 8 terms of Fourier expansion, the mean square error was decreased with soil depth showing 2.30 for the surface temperature, and 1.34-0.42 for 5 to 500-cm soil temperatures. The $r^2$ ranged from 0.913 to 0.988. The number of lag days of air temperature by remainder analysis was 0 day for the soil surface temperature, -1 day for 5 to 30-cm soil temperature, and -2 days for 50-cm soil temperature. The number of lag days for precipitaion, snow depth and wind speed was -1 day for the 0 to 10-cm soil temperatures, and -2 to -3 days for the 30 to 50-cm soil teperatures. For the statistical soil temperature prediction model combined with the yearly oscillation terms and meteorological factors as remainder terms considering the lag days obtained above, the mean square error was 1.64 for the soil surfac temperature, and ranged 1.34-0.42 for 5 to 500cm soil temperatures. The model test with 1978 data independent to model development resulted in good agreement with $r^2$ ranged 0.976 to 0.996. The magnitudes of coeffcicients implied that the soil depth where daily meteorological variables night affect soil temperature was 30 to 50 cm. In the models, solar radiation was not included as a independent variable ; however, in a seperated analysis on relationship between the difference(${\Delta}Tmxs$) of the maximum soil temperature and the maximum air temperature and solar radiation(Rs ; $J\;m^{-2}$) under a corn canopy showed linear relationship as $${\Delta}Tmxs=0.902+1.924{\times}10^{-3}$$ Rs for leaf area index lower than 2 $${\Delta}Tmxs=0.274+8.881{\times}10^{-4}$$ Rs for leaf area index higher than 2.

• Journal of Biosystems Engineering
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• v.25 no.6
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• pp.497-502
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• 2000

For the analysis of geothermal energy utilization in agriculture the relations between soil temperature and geographical variables such as latitude longitude and sea level in Korea were analyzed and the regression equations were suggested among them. The measured soil temperature data for four years in eighteen cities were used to get the soil temperature fitting equation depending on the soil depth and the time of year in each city. The mean correlation coefficient for those data fitting was 0.980. the correlation coefficient of regression analysis for the mean soil temperature($T_{m}$) on the geographical variables such as latitude longitude and height above sea level was 0.958 and those for soil surface temperature amplitude(Tss) and phase constant(tp) were 0.889, 0.835, respectively. The relation between the apparent thermal diffusivity of the soil and the three geographical variables was not significant. The regression equations for the mean soil temperature($T_{m}$) soil surface temperature amplitude(Tss) and phase constant(tp) adopting latitude($X_{1}$) longitude($X_2$) height above sea level($X_3$) were as follows : $T_{m}$=50.049 - $0.849X_1$-$0.03131X_2$-$0.00622X_3$Tss=-6.970 +$0.584X_1$+$0.00530X_2$-$0.00214X_3$tp=70.353 - $1.404X_1$+ $0.02098X_2$+ $0.00312X_3$

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2000.10b
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• pp.113-119
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• 2000

시설재배 농가의 유류비(면세유)는 년간 약 4,300억원에 달하며 전체 시설면적의 약 25%에 해당하는 12.5천 ha정도가 가온을 하고 있다. 최근 유가 상승으로 겨울철 시설재배의 면적은 줄어들 것이며 이로 인한 시설재배의 생산량도 크게 감소되어 수입 증가로 인한 외화의 유출을 예측할 수 있다. 시설재배는 연중 생산시스템을 가지고 있으나 생산 기술외적인 요인에 의하여 시설재배가 받는 충격을 줄일 필요가 있다. (중략)

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.148-148
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• 2022

콩[(Glycine max(L.)]은 우리나라에서 벼와 더불어 주요한 식량작물이다. 농촌진흥청에서는 콩 생육데이터를 수집하여 생산성 향상모델을 개발하기 위해 '농업빅데이터수집및생산성향상모델개발' 사업을 수행하고 있다. 수집되는 콩 데이터는 농가정보, 콩 생육정보, 토양정보 부분으로 구성되어 있으며 농가정보는 시군, 시군구, 품종, 파종량, 종자확보경로 등이 수집되고 있다. 그리고 콩 생육정보는 경장, 줄기굵기, 마디수, 가지수, 꼬투리수, 꼬투리립수, 개체당 입수, 종실수량 등이 수집되어 있다. 토양정보는 수분, 지온, EC 등이 수집되고 있다. 주요 항목의 평균은 경장 47.4 cm, 줄기굵기 11.1 mm 마디수 12.7 개, 꼬투리수 54.0 개, 꼬투리립수 2.7 개, 종실수량 227.9 kg/10a 정도이며 토양수분은 26.3 %, 지온은 27.1 ℃ EC는 2.58 ds/CM 정도이다. 주요 형질의 상관관계는 종실수량과 개체당 협수가 0.651로 나타났으며 가지수, 꼬투리수, 개체당협수와 줄기굵기는 각각 0.783, 0.653, 0.663 정도로 나타났다. 추후 이를 기반으로 다중회귀 등 분석 가능한 방법(머신러닝 등)을 적용하여 콩수량을 예측할 수 있는지 검토할 필요가 있다. 또한 본 사업으로 수집된 자료를 분석하여 콩 수량에 영향을 미치는 주요 요인을 평가한 결과는 콩 생산성 향상을 위한 모델 작성에 중요한 자료로 활용될 수 있을 것으로 예상된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.545-548
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• 2012

본 논문에서는 영상내 관심영역의 역 투시변환과 차선검출필터를 적용한 실시간 차선검출방법을 제안한다. 영상의 시작 프레임에서 소실점을 찾고 이를 기준으로 관심영역을 설정하고 차선을 예측하였으며, 예측된 차선을 기반으로 역 투시변환계수를 추출하여 원근감이 제거된 영상을 얻고, 이로부터 차선을 검출하였다. 제안한 방법은 원근감이 제거된 영상에 차선검출 필터를 적용하여 차선을 검출하는 방법으로, 처리영역을 축소하고 처리과정을 단순화 함으로써 초당 50 frames 정도의 양호한 차선검출 결과를 보였다.

• Journal of Aquaculture
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• v.21 no.2
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• pp.111-122
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• 2008

This study was conducted to assess the usefulness of the temperature characteristics of the tidal flat sediments during low tide as a environmental factor, and burrowing behaviour, fatness, total hemocyte counts(THCs) and differential hemocyte counts(DHCs) of hard clam Meretrix lusoria as biological activity indices for the management of hard clam farms located in Taean(Chungnam province) and Gimje(Jeonbuk province) tidal flat in Korea. Temperature ranges of the sediment at 1cm depth during spring(March to May) and summer(June to August) in Taean(where the exposure time was about $5.5{\sim}6$ hours during low tide) were $8.7{\sim}26.8^{\circ}C\;and\;27.6{\sim}32.8^{\circ}C$, respectively. Even though there was no significant difference(P>0.05), temperatures of the surface sediment where submerged with remained seawater were generally higher than that of uncovered with seawater. Burrowing depths of normally digged hard clams were 0.9{\sim}3.6cm from March to October, 2002. In the field experiment performed at Taean farming ground covered with seawater, burrowing times of the clams under natural water temperatures were $41.6{\pm}10minutes$ in February and $5.4{\pm}1.3minutes$ in August, respectively, and these were influenced by water temperatures. Fatness of hard clams began to decrease from May(at Taean tidal flat) and June(at Gimje tidal flat), showed the lowest level in August and increased again from September. Total hemocytes counts in the hemolymph of the hard clams were decreased to the lowest level in July($24.7{\times}10^4cells/mL$, at Taean tidal flat) and August($28.2{\times}10^4cells/mL$, at Gimje tidal flat), and significantly increased again from September(at Taean tidal flat, P<0.01) and October(at Gimje tidal flat, P<0.001), respectively. We observed three types of hemocytes from the hemolymph of hard clams according to whether hemocytes retain the granules or not and the size of the granules. As a results, we could found that periodical monitoring of the sediment temperatures, clam burrowing behaviour and hemocyte parameters were very helpful for the management of hard clam farming.

• The Korean Journal of Mycology
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• v.17 no.2
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• pp.51-56
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• 1989

This study was carried out to obtain basic information elucidating relationship meteorological elements and yield of Tricholoma matsutake. The yields of pine mushroom in seven areas including Yangyang-gun more than 30,000 kg. Pine mushrooms were generally distributed in the red pine (Pinus densiflora) forests of East-Coast Region, Sobaek and Taebaek-Mountainous Regions, Yeongnam-Central Region and North-Central Region of Korea. Yields of pine mushroom were significant correlation with precipitation during April-October in last years, average minima temperature during July-September, rainy days during Aug. 21-Sep. 10 and precipitation during Sep. 11-30, etc. Air and soil temperature during pine mushroom yield period were 15-25 and $15-20^{\circ}C$, respectively. The first collection date of pine mushroom could be predicted by measuring the soil temperature at 5 cm depth.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1586-1591
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• 2006

조선사는 선주와의 계약에 의한 수주 생산방식으로 계약시 명시된 작업시작일, 도크작업시작일 진수일, 인도일을 지키기 위한 공정별 목표 생산완료일을 결정하게 되고, 각 공장별로 목표 생산완료일을 지키기 위한 일정계획을 수립하게 된다. 생산되는 선박은 선종, 선형에 따라 구성되는 블록의 수가 다르고 그 형태도 매우 다양하다. 그러므로 선박을 건조하기위해 제작되는 블록의 정확한 작업공기와 공수를 예측하기가 매우 어렵다. 본 논문에서는 불확실한 작업공기와 공수를 이용하여 작업장의 공간제약을 고려한 일정계획을 수립하는 문제에 대하여 기존의 공간제약 문제에 대한 연구에서 나아가 실행 단계에서의 운영프로세스를 개선하여 적용하는 연구를 수행하였다. 이번 연구의 결과로 목표 생산계획과 부서계획, 실행 실적을 과거 데이터와 비교분석 하여 개선된 운영프로세스의 효과를 검증하였다.