• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.115-118
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• 2006

빙축열 시스템과 같은 열교환 시스템을 이용하여 심야의 전력 경부하 시 주간에 이용할 냉방부하를 축열하였다가 주간에 공급함으로써 전력의 평준화와 전력 설비의 효율적 운용을 기할 수 있어 전력의 안정적인 수급과 에너지의 효율을 극대화할 수 있다. 하지만 빙축열 시스템의 제어 운전을 전적으로 운전자의 경험에 의존하는 경우에 충분한 냉방 부하를 공급하기 위한 잉여축열에너지가 비경제적으로 많아져서 빙축열 시스템의 경제성이 저하되고 사용 효과가 낮아지는 문제점이 많이 발생되고 있다. 경제적인 활용 효과를 고려하여 빙축열 시스템을 효율적으로 운용하기 위해서는 냉방부하량이 기후 특성에 의해 결정되므로 기후를 정확하게 예측하고 이를 토대로 다음날의 시간별 냉방부하를 예측하여 적정한 축열량을 결정하여야 하는 어려움이 따른다. 이러한 문제를 해결하기 위해 본 연구에서는 신경망을 이용하여 기상 데이터를 토대로 다음날의 온도와 습도를 예측하고 예측된 온도와 습도 및 냉방부하 실적 자료를 기반으로 신경망을 이용하여 시간별 냉방부하를 예측하는 알고리즘을 제시하였다. 제안된 냉방 부하예측 알고리즘에 의해 구축된 한국전력공사 속초생활연수원의 부하예측모델을 이용하여 온도, 습도, 냉방부하를 예측한 결과 기존 방법에 의한 것보다 우수한 예측 성능을 보였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.59-74
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• 2015

The purpose of this study is to analyze reasonable green area ratios for mitigating urban heat island considering various land use types. Land uses of 5 types such as single residential, multi residential, commercial area, public facility, and industrial area were considered. Green areas were extracted from the tree attribution of land cover. Effect of urban heat island was analysed by the surface temperature of ASTER thermal infrared radiance scanned daytime and nighttime. Mitigation effect of green area at daytime was higher than nighttime. Surface temperature of green area was low in single residential at daytime. But the difference of surface temperature by each land use type was small. The effect of surface temperature mitigation of green area was lower in industrial area. The results of reasonable green area ratios for mitigating urban heat island indicate that surface temperature was the lowest with green area ratio of 40~50% in single residential, multi residential, and commercial area at daytime. Surface temperature of nighttime was not changed much by green area ratios. Therefore, the results of this study will be suggested in urban development planning to construct effectively green area for mitigating urban heat island.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.3
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• pp.130-137
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• 2023

Smart farms, which have been receiving attention as a solution to recent rural problems, refer to technologies that optimize the growing environment of crops and increase the productivity and quality of crops through efficient management. If the relationships between environmental data in smart farms are analyzed, additional productivity enhancement and crop management will be possible. In this paper, we propose a method for acquiring and analyzing nine environmental data, including temperature, humidity, CO2, soil temperature, soil moisture, insolation, soil EC, EC, and pH. Data acquisition is done through RS-485 communication between the main board and the sensor board and stored in the database after acquisition. The stored data is downloaded in Excel sheet format and analyzed through histograms, data charts, and correlation heatmaps. First, we analyze the distribution of total, day, and night data through histogram analysis, and identifiy the average, median, minimum, and maximum values by month through data chart analysis separating day and night to see how the data changes by month. Finally, we analyze the correlation of the data through a correlation heatmap analysis separating day and night. The results show a very strong positive correlation between temperature and soil temperature and soil EC and EC during the day, and a very strong positive correlation between temperature and soil temperature and soil EC and EC at night, and a strong negative correlation between temperature and soil EC.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.3
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• pp.397-405
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• 2024

In order to improve the visibility of nighttime thermal infrared images, a simulation method with daytime color images was proposed. As a simulation method consisting of two steps, the daytime thermal infrared image was simulated by learning the unpaired nighttime thermal infrared image and daytime thermal infrared image, then the result was translated into a daytime color image. A temperature change regression equation was constructed and applied to reflect the systematic characteristics of temperature changes in daytime and nighttime images, and day and night simulation and colorization were trained and modeled by CycleGAN. For the experimental area, 100 images were captured and used for training. As a result, the simulation showed an average SSIM of 0.2449 and a PSNR of 51.2254. It was confirmed that the method could simulate complex and detailed features such as vegetation.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2000.10b
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• pp.128-131
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• 2000

자갈축열 태양열 온실에 있어 여름철 냉방에너지의 효과적인 절감 방안을 모색하고자 축열 및 배기시스템의 작동방식을 다르게 하여 주ㆍ야간 축열과 방열시 자갈축열층의 온습도환경을 분석한 결과를 요약하면 다음과 같다. 1. 주간에 외기온이 28.5$^{\circ}C$-35.3$^{\circ}C$범위에서 변화할 때 자갈축열층내로 유입되는 공기의 온도는 30.5$^{\circ}C$-36.2$^{\circ}C$, 자갈축열층에서 온실내부로 유출되는 공기의 온도는 28.2$^{\circ}C$-30.1$^{\circ}C$, 축열층 내부온도는 27.4$^{\circ}C$-35.9$^{\circ}C$ 범위였다. 또한, 10시간 축열시 자갈축열층 내부온도는 측점에 따라 1.7$^{\circ}C$-7.$0^{\circ}C$의 온도상승이 있었으며 유입구에서 멀어질수록 축열층 온도는 낮게 나타났으며 온도상승 속도 또한 감소하는 경향으로 나타났다. 그리고, 야간에 축열시스템을 작동하지 않고 배기팬만을 작동하였을 경우, 외기온이 27.4$^{\circ}C$-34.4$^{\circ}C$범위일 때 자갈축열층 내부온도는 29.7$^{\circ}C$-34.9$^{\circ}C$(평균 31.4$^{\circ}C$)범위였으며 온실외부에 설치되어 있는 배기구와 배기팬의 영향으로 축열층 내부온도는 시간이 경과함에 따라 감소하는 경향으로 나타났으며 측점에 따라 2.2$^{\circ}C$-5.1$^{\circ}C$(평균 2.8$^{\circ}C$)의 온도하강 효과가 있는 것으로 나타났다. 2. 여름철 주간에 10시간 축열시 자갈축열층 내부습도는 측점에 따라 8.1%-26.3%의 감소현상이 있었다. 또한, 유입구에서 멀어질수록 축열층 습도는 높게 나타났으며 습도하강속도 또한 감소하는 경향으로 나타나 유입구에서 멀어질수록 외부습도의 영향을 적게 받는 것으로 분석되었다. 하지만, 야간에는 배기시스템의 영향으로 자갈축열층의 습도는 외기의 영향을 많이 받는 것으로 나타났다.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.104-124
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• 2017

This study aimed to validate the ASTER surface temperature using field measurements over various land use types in the urban area of Changwon City, South Korea. The ASTER surface temperature was measured by collecting eight images during daytime and nighttime in June and September from 2012 to 2014, and field measurements were conducted over the same period when the satellite images were taken. The analyses showed that the surface temperature measured in the field during the daytime was higher than that of satellite imageries by $5{\sim}10^{\circ}C$, and the gap was higher in built-up areas. The calibration models of surface temperature showed a 60% explanatory power in areas other than parks, indicating that the models are reliable. During nighttime, except for the summer month of August, ASTER surface temperature was determined to be approximately $2^{\circ}C$ higher in contrast to daytime.

• Journal of Bio-Environment Control
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• v.4 no.1
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• pp.9-16
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• 1995

The effect of day and night temperature on the seedlings growth as well as physiological responses of red pepper seedlings to temperature, such as uptake of water and nutrients, rates of photosynthesis and respiration of leaf and root were also investigated in growth cabinet. The results obtained were as follows ; 1. As the temperature dropped down to 12$^{\circ}C$, the uptake of water and nutrients, nitrate, phosphorus and potassium were decreased drastically. At 5$^{\circ}C$ there was virtually no uptake of water and nutrients. 2. Photosynthetic activity in the leaves of red pepper seedlings was increased gradually from 5$^{\circ}C$ to $25^{\circ}C$ and observed the highest photosynthetic activity at $25^{\circ}C$, but respiratory activity of leaf increased up to 3$0^{\circ}C$ and the same trend was observed in root respiratory activity. 3. Optimal combination of day and night temperature for shoot dry weight which is the decisive criterion of good seedlings of red pepper was found to be $25^{\circ}C$ at nighttime and 3$0^{\circ}C$ at daytime and then day/night temperature showed in the order of 25/25, 30/15, 15/25, 10/$25^{\circ}C$. No increment of shoot dry weight at 5$^{\circ}C$ in nighttime temperature observed regardless of daytime temperature.

• Journal of the Korean association of regional geographers
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• v.19 no.2
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• pp.352-361
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• 2013

This paper aims to analyze the root mean square errors of MODIS LST data and inland water temperature measurement data in order to use MODIS LST data as an input of numerical weather prediction model. MODIS LST data from July 2011 to June 2012 were compared to water temperature measurement data in the automated water quality measurement network. MODIS data have two composites: day-time and night-time. Monthly errors of day-time and night-time LST range $2{\sim}8^{\circ}C$ and $3{\sim}12^{\circ}C$, respectively. Temporally, monthly errors of day-time LST are less in fall and those of night-time LST are less in summer. Spatially, on the four major rivers including the Han, Nakdong, Geum, and Yeongsan rivers, the errors of Yeongsan river were the smallest, which location is the south-most among them. In this study, the errors of MODIS LST as an input of numerical weather prediction model were analyzed and the results can be used as an error level of MODIS LST data for inaccessible areas such as North Korea.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.38 no.4
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• pp.330-335
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• 1993

Sesame cultivars were treated with temperature and daylength to determine the environmental variance of Antioxidant content The experiment was performed in phytotron with 11, 13, 15hours of daylength and 20/15, 25 120, 30/25$^{\circ}C (day / night) of temperature treatment. Varietal differences of antioxidant content were significant by the temperature and daylength treatment. Antioxidant content was incrased at higher temperature(25/2$0^{\circ}C$, 30/25$^{\circ}C) and daylength(13hours) but decreased at lower temperature (20/15$^{\circ}C), short daylength (l1hours) and long day length (15hours) condition. Sesamin content were showed 0.06% difference as maxium by the temperature treatment, while 0.03% by the daylength treatment. Sesamolin content were showed 0.03% difference as maxium by the temperature treatment, while 0.01% by the daylength treatment. The antioxidant content was influenced by the increased temperature than daylength.

• Journal of Bio-Environment Control
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• v.15 no.2
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• pp.149-155
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• 2006

This study was carried out to investigate effects of different night temperature treatments during nursery period on flower bud differentiation and growth of pepper cv. Cheongyang. Number of leaves, top fresh weight and top dry weight of pepper seedlings were increased with increasing the night temperature during nursery periods. And also flower bud differentiation and days to flowering were accelerated as increasing the night temperature. Plant height, stem diameter, branch length and intermode length of pepper after transplanting were height at the low night temperature ($28/11^{\circ}C$), but they were retarded at the high night temperature ($28/21^{\circ}C$) treatment. Number of lateral branches was significantly reduced at the high night temperature, but there was no a regular tendency in branching habit of the main stem by temperature treatments. Seedling growth before transplanting was retarded at the low night temperature but gradually recovered after transplanting into the plastic house. However, seedling growth at the high night temperature was shown in contrast to above response of the low night temperature.