• KOREAN JOURNAL OF CROP SCIENCE
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• v.67 no.3
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• pp.189-197
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• 2022

This study investigated the antioxidant and yield properties of eight adzuki bean (Vigna angularis L.) cultivars grown under different mean temperatures and sunshine hours in 2020 and 2021. Compared to 2021, which had a normal mean temperature, 2020 showed a lower mean temperature during the pod-extension and grain-filling periods. In addition, due to frequent rainfall during the vegetative period in 2020, there were fewer hours of sunshine in 2020 than in 2021. The adzuki bean yield was approximately 13% lower in 2020 than in 2021 due to the decreased number of pods per plant and 100-seeds weight. 'Hongda' and 'Hongjin' cultivars showed more stable yields than the 'Arari' variety, which is the most commonly cultivated variety in Korea. Moreover, the 'Hongda' and 'Hongjin' cultivars had higher yields than the 'Arari' variety in both years. Compared to 2021, in 2020, when the weather conditions were unfavorable, both antioxidant levels and activity were higher. 'Hongda' had higher antioxidant levels and activity than the other cultivars over the 2 years. These results suggest that the antioxidant levels and activity were good in 2020, with an approximately 13% decrease in yield compared to 2021, which was a normal year with respect to mean temperature and sunshine hours.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.2
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• pp.95-103
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• 2004

Recently, many troubles about the right of light have been arising ceaselessly as taller and more dense the buildings have been in the urban. The present time, the right of light is not stipulated legally. For solving above problems, there spend so too much lawsuit expenses and time on the damages about construction stopped and delayed, according to subjective decisions instead of scientific and rational solutions. The past studies of the right of light weren't based on the analytic data and depend on the simple view of point. So, those of studies gave trust to people hardly, only were treated as the ways on the decision about construction among non-engineers. Therefore, this paper studies the efficient solution of problems about the right of light through analysis about mass of sunlight according to season and the hour using a simulation technique on the civil construction.

• Journal of the Korean Solar Energy Society
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• v.30 no.2
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• pp.16-21
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• 2010

Computer simulation of buildings and solar energy systems are being used increasingly in energy assessments and design. This paper discusses the possibility of using sunshine duration data instead of global hourly solar irradiation (GHSI) data for localities with abundant data on sunshine duration. For six locations in South Korea where global radiation is currently measured, the global radiation was calculated using Sunshine Duration Radiation Model (SDRM), compared and analyzed. Results of SDRM has been compared with the measured data on the coefficients of determination (R2), root-mean-square error (RMSE) and mean bias error (MBE). This study recommends the use of sunshine duration based irradiation models if measured solar radiation data is not available.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.60 no.3
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• pp.273-281
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• 2015

Relationship between grain quality-related traits and daily mean temperature/sunshine hours during grain filling stage was analyzed using eleven high quality rice varieties at 24 experimental sites through eight provinces of Korea in 2013~2014. In the data set pooled across varieties, experimental sites and years, grain quality-related traits such as percentage of head rice (PHR), head rice yield (HRY), protein in milled rice (PRO) and Toyo Mido Meter glossiness value (TGV) were higher at the temperature lower than $22.6^{\circ}C$ for 40 days after flowering (DAF), which was optimum for percentage of grain filling in this study. Optimum sunshine hours for 40 DAF were $6.0{\sim}6.1\;hr\;d^{-1}$when considered PHR, HRY and TGV. PRO was associated with daily mean temperature and sunshine hours for 40 DAF in more varieties than the other traits. PRO was closely correlated with daily mean temperature during early filling stage and sunshine hours during early to mid filling stage, compared to other stages during grain filling. It is concluded that general trend in the variation of grain quality-related traits could be explained by the changes in daily mean temperature and sunshine hours during grain filling. In addition, climate conditions during early grain filling stage played important roles to enhance grain quality.

• Horticultural Science & Technology
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• v.33 no.4
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• pp.479-485
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• 2015

This study was conducted to study the factors inducing micro-cracking and determine proper practices to reduce its occurrence in 'Mansoo' pear fruits. Micro-cracking was observed on ripe fruits. Occurrence of micro-cracking was closely related to sun duration time in August. Micro-cracking occurred severely with shorter sun duration, but weakly with longer sun duration and continuous sunlight. Micro-cracking fruits occurred more frequently in trees with a pergola training system than in those with Y-trellis, but there was no difference between the irrigated and non-irrigated groups. While no micro-cracking was observed without fruit bagging, micro-cracking occurred in fruits with black and yellow outer paper bagging at rates of 62.2 and 17.3%, respectively. Our results suggest that the light condition was the most important cause of micro-cracking because the occurrence of micro-cracking in 'Mansoo' fruits was affected by factors including sun duration, trellis system and fruit bag color. We suggested that micro-cracking could be reduced in 'Mansoo' fruit by optimizing the light conditions with the proper trellis system, bagging color and summer pruning.

• Journal of Advanced Navigation Technology
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• v.22 no.5
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• pp.478-484
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• 2018

This study predicts solar radiation, solar radiation, and solar power generation using hourly weather data such as temperature, precipitation, wind direction, wind speed, humidity, cloudiness, sunshine and solar radiation. I/O pattern in supervised learning is the most important factor in prediction, but it must be determined by repeated experiments because humans have to decide. This study proposed four input and output patterns for solar and sunrise prediction. In addition, we predicted solar power generation using the predicted solar and solar radiation data and power generation data of Youngam solar power plant in Jeollanamdo. As a experiment result, the model 4 showed the best prediction results in the sunshine and solar radiation prediction, and the RMSE of sunshine was 1.5 times and the sunshine RMSE was 3 times less than that of model 1. As a experiment result of solar power generation prediction, the best prediction result was obtained for model 4 as well as sunshine and solar radiation, and the RMSE was reduced by 2.7 times less than that of model 1.

• Journal of the Korean earth science society
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• v.37 no.1
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• pp.29-39
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• 2016

In this study, we estimated solar radiation by multiple regression analysis using sunshine duration and precipitation data, which are highly correlated to solar radiation. We found the regression equation using data obtained from GROM (Gangwon Regional Office of Metrology, station 105, 1980-2007) located in Gangneung, South Korea and validated the equation by applying data obtained from new GROM (newly relocated, station 104, 2009-2014) and data obtained from GWNU (Gangneung-Wonju National University, 2013-2014) located between stations 104 and 105. By using sunshine duration data alone, the estimation using data from station 104 resulted in a correlation coefficient of 0.96 and a standard error of $1.16MJm^{-2}$, which was similar to the previous results; the estimation using data from GWNU yielded better results with a correlation coefficient of 0.99 and a standard error of $0.57MJm^{-2}$. By using sunshine duration and precipitation data, the estimation (using data from station 104) yielded a correlation coefficient of 0.96 and a standard error of $0.99MJm^{-2}$, resulting in a lower standard error compared to what was obtained using sunshine duration data alone. The maximum solar radiation bias increased from -26.6% (March 2013) to -31.0% (February 2011) when both sunshine duration and precipitation data were incorporated into the estimation rather than when sunshine duration data alone was incorporated. This was attributed to the concentrated precipitation found during May and July-September, which resulted in negative coefficients of the estimating equation in other months. Therefore, the monthly average solar radiation should be estimated carefully when employing the monthly average precipitation for those places where precipitation is concentrated during summer, such as the Korean peninsula.

• Agrochemical news magazine
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• v.19 no.4 s.145
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• pp.12-14
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• 1998

• Proceedings of the Korean Environmental Sciences Society Conference
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• 1998.04a
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• pp.43-45
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• 1998

• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.04a
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• pp.87-89
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• 2003

벼의 생육과 수량에는 토양과 생물환경 못지 않게 기상환경도 중요하다. 기상환경 중에서도 기온과 일조시수의 영향은 매우 커서 이에 대한 연구가 많이 이루어 졌다. 따라서 본 시험에서는 여수지역에서의 10년간 기상조건과 벼의 수량성을 비교하였던바 생육 초기의 영양생장기에 비하여 생육후기의 생식 생장기에서의 높은 고온과 많은 일조시간(일사량)은 증수되는 경향이 었다.