• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.319-321
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• 2003

추진내용 ？ 효과 ● 업무공간 제약으로부터 탈피(업무의 on-line 화) ● 경영의 투명화 (경영진과 임직원의 신뢰 증진) ● 경영진 의사결정의 신속 및 정확성 ● 임직원 각개인의 자기관리 실현(중략)

• Korean Journal of Heritage: History & Science
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• v.54 no.3
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• pp.242-261
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• 2021

Sangjeong was a sculptor-monk who was active in the mid-to-late 18th Century, and the current study established the overall chronology of Sangjeong's Buddhist statues and their styles based on the six sculptures of Sangjeong already known and the Wooden Seated Buddha of 1767 in Songgyesa Temple, Geochang, which was found to be his last work. All of the Buddhist statues of Sangjeong have commonalities in terms of the appearance of the ears, wrinkles on clothing on the upper and lower body, position of hands, and expression of the lower body. The expression of the lower body, in particular, is classified into three types: Type A, where the clothing drapes through the lotus leaves on the bottom; Type B, with an 'S-shaped' drape over the lower body but no lotus leaves or pedestal; and Type C, with the Buddha and pedestal as a single unit, and the clothing draping through the lotus leaves on the pedestal. It appears that Sangjeong faithfully succeeded the style of Taewon, who was his only instructor for sculpture. This is verified based on the records of his participation in the creation of the Wooden Seated Sakyamuni Buddha Triad and Statue of Arhat in Bongeunsa Temple, Seoul, as the third sculptor-monk out of twelve sculptor-monks, and the reflection of the S-shaped drape on the lower body found on the statue of Buddha in Bongeunsa Temple on all of the statues created by Sangjeong. Not only that, but it was assumed that the expression of the pedestal and hair was also inherited by Sangjeong from Taewon and Jinyeol, who was a sculptor-monk from the early 18th Century. The work of Sangjeong and Taewon showed differences in the volume and thickness of statues, strength of unevenness on the wrinkles of clothing, drapes on the right side of chest, and details of the ears. The current study identified the original styles of each individual sculptor and attempted to categorize the fourteen pieces of ten Buddhist statues reflecting the styles of Sangjeong into Sangjeong-style or Taewon-style.

• Journal of Practical Agriculture & Fisheries Research
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• v.6 no.1
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• pp.63-72
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• 2004

This study was conducted to determine the growth and properties of green soybean sprouts(Vigna umbellata Thunb.) in soil culture. Patkong which is a small grain variety was sawn on electric heated hot bed in the greenhouse. Temperature of the culture bed were respectively 17, 20, 25, and 30℃ and water temperature were respectively 14, 17, 20 and 25℃. The kinds of soil used for this study were upland soil, sand, peatmoss and Pearlite, loess, loess and activated carbon. BA was treated in the concentrations of 240 times, 80 times, 40 times besides control. High temperature of 25 and 30℃ increased sprout yield compared to lower temperature but caused to decay from 7 days after sawing. Thus, the most optimum temperature for soil culture was 20℃. The best soil was sand of which increased fresh weight of 850g during same period. Addition of BA was most effective to promote sprout growth in the concentration of 80 times. Compared to general soybean sprouts, green soybean sprouts were 50% higher in fiber but 72% lower in glucide. Vitamin B was 200% higher in green soybean sprouts but vitamin C was higher in general soybean sprouts.

• Korean Journal of Ecology and Environment
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• v.56 no.3
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• pp.196-206
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• 2023

Benthic attached diatoms (BADs), a major primary producer in lotic stream and river ecosystems are micro-sized organisms and require a highly magnified microscopic technique in the observation work. Thus, it is often not easy to ensure accuracy and precision in both qualitative and quantitative analyses. This study proposed a new technique applicable to improve quality control of aquatic ecosystem monitoring and assessment using BADs. In order to meet the purpose of quality control, we developed a permanent mounting slide technique which can be used for both qualitative and quantitative analyses simultaneously. We designed specimens with the combination of grid on both cover and slide glasses and compared their efficiency. As a result of observation and counting of BADs, the slide glass designed with the color-lined grid showed the highest efficiency compared to other test conditions. We expect that the method developed in this study could be effectively used to analyze BADs and contributed to improve the quality control in aquatic ecosystem health monitoring and assessment.

• Korean Journal of Ecology and Environment
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• v.56 no.3
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• pp.268-279
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• 2023

Nowadays, artificial intelligence model approaches such as machine and deep learning have been widely used to predict variations of water quality in various freshwater bodies. In particular, many researchers have tried to predict the occurrence of cyanobacterial blooms in inland water, which pose a threat to human health and aquatic ecosystems. Therefore, the objective of this study were to: 1) review studies on the application of machine learning models for predicting the occurrence of cyanobacterial blooms and its metabolites and 2) prospect for future study on the prediction of cyanobacteria by machine learning models including deep learning. In this study, a systematic literature search and review were conducted using SCOPUS, which is Elsevier's abstract and citation database. The key results showed that deep learning models were usually used to predict cyanobacterial cells, while machine learning models focused on predicting cyanobacterial metabolites such as concentrations of microcystin, geosmin, and 2-methylisoborneol (2-MIB) in reservoirs. There was a distinct difference in the use of input variables to predict cyanobacterial cells and metabolites. The application of deep learning models through the construction of big data may be encouraged to build accurate models to predict cyanobacterial metabolites.