• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.71-71
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• 2020

최근 기후변화의 영향으로 극심한 가뭄과 홍수가 발생하고 기온 또한 꾸준히 상승하고 있으며, 이러한 변화에 대응하기 위해 전 세계에서 이산화탄소를 줄이고 국제 에너지 시장을 재구성하려는 시도가 꾸준히 이루어지고 있다. World Energy Outlook(2012)에 따르면 특히 에너지 시장에서 개발도상국의 수력분야 개발투자가 2035년까지 15,490억 달러에 이를 것으로 전망됨에 따라 국내에서 해외 수력발전사업에 적극적으로 나서고 있다. 그러나 국내와는 달리 댐 건설의 사전조사에 필요한 자료가 없거나 구축하는데 문제가 있어 손쉽게 구할 수 있는 자료로 사전에 수력발전 댐 적지를 조사할 수 있는 기술의 개발이 필요하다. 따라서 본 연구에서는 수력발전용 댐 위치 결정을 위한 예비 적지 분석 알고리즘을 개발하고, 분석 알고리즘에 위성영상자료인 30m 해상도의 ASTGTM(ASTER Global Digital Elevation Model)와 500m 해상도의 MCD12Q1(MODIS/Terra Aqua Land Cover) 토지피복자료를 사용하고자 한다. 예비 적지 분석 알고리즘은 DEM의 전처리, 하천망생성, 유역분할과 지형정보를 고려한 자동적지탐색과 댐 건설시 수몰면적에 따른 보상면적 산정 알고리즘을 포함하고 있으며 Python기반의 오픈소스 GIS로 구현되었다. 적지산정은 DEM으로부터 낙차, 도달시간, 내용적곡선과 같은 지형정보와 토지피복도를 통한 보상면적을 기반으로 순위를 매겨 사용자에게 최적의 위치들을 표출한다. 본 연구의 결과는 향후 해외 수력 댐 적지 예비분석 및 해외 수력산업 진출을 지원할 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.436-436
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• 2022

셀룰러 오토마타(Cellular Automata; CA)는 격자(cell)에 대해 사전 정의된 규칙을 바탕으로 이웃 격자 간 상호작용을 해석하여 복잡한 동력학적 현상을 효과적으로 재현할 수 있는 이산형(discrete) 모의 기법이다. CA 기법은 격자 구조에 수치표고 자료 및 토양수분 정보 등을 직접 매칭 후 상호관계를 해석하기 때문에 공간정보를 최대한 활용하여 불균질성을 나타내는 것이 가능하다. 따라서, 도시 유출해석에 있어서 높은 정확도와 빠른 계산속도를 기대할 수 있다. 본 연구에서는 CA 기반 고해상도 물순환·침수 연계 해석 framework 개발 방향 및 CA 기반 prototype 모형의 사면유출 적용 사례를 소개한다. 개발 중인 CA 모형에서는 격자별 침수 깊이, 침투, 토양수분 저류, 지표 유출 등의 물순환 요소를 모의할 수 있다. 기존의 집중형(lumped) 모형은 지표-지표하 유출에 대한 routing algorithm이 없고 각 셀의 물수지 모형 내 파라미터가 많은 단점이 있다. 따라서 개발 중인 CA 모형에서는 cell state 내 fast reservoir와 slow reservoir를 통해 지표-지표하 상태를 구현하고 단순화된 물수지 모형 및 흐름 방향 알고리즘을 적용함으로써 실제 현장에서 발생하는 다중 피크 형태의 지표 유출을 모사한다. 최적의 지표수 흐름 방향 알고리즘 선정을 위해 3개의 다중 흐름 방향 알고리즘(D4, D8, 4+4N)을 정량적으로 비교·분석한다. 이번 발표에서는 CA 모형을 소규모 산지 사면과 도심지 등 다양한 규모의 테스트베드에 적용하여 모형의 장단점을 평가한다.

• Journal of Mushroom
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• v.9 no.4
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• pp.145-154
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• 2011

Shiitake mushroom (Lentinula edodes) is usually cultivated on the oak log. Log cultivation of this mushroom is getting difficult to get oak logs and has a weak point of its long cultivation period. Recently sawdust cultivation is getting increase. It is important to make mycelia browning on the substrate surface. This browned surface in sawdust cultivation plays an important role like as artificial bark of the oak log, which protects the other pests and suppresses water evaporation in the substrate. The period for mycelia browning is so long that the sawdust cultivation of Shiitake mushroom can not spread well into the mushroom farms. The development of methods for the rapid mycelia browning is quite required. In this article we would like to find cultural characteristics of collected strains and to see the correlation with mycelial browning. Mycelial growth in the media was different according to kinds of media and strains. The optimal temperature on mycelial growth was $20-25^{\circ}C$. Browning patterns of mycelium under 200 Lux seemed to be used for a key to differentiate the strains for sawdust cultivation. Browning period was 30-40 days in the agar media and 70-100 days in the sawdust bag cultivation. When we considered the productivity and the other characteristics, ASI 3046 is the best for the bag cultivation. Significance between mycelial growth and browning was not accepted, but that of mycelial growth between on PDA and sawdust was accepted. Browning period on the PDA and sawdust showed a strong relationships. These results suggested that the browning habits could not be depend on the difference of media, but on their own properties. To select the strain showed fast browning can be done by using agar media for saving time.

• Journal of Mushroom
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• v.17 no.2
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• pp.78-84
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• 2019

The aim of this study was to evaluate the physiological activities of hot-water and 70% ethanol extracts of three edible mushroom species (Auricularia auricula, Tremella fuciformis, and Lentinus edodes) cultivated in Korea and China. The DPPH radical scavenging activities of hot-water extracts of Korean A. auricula, T. fuciformis, and L. edodes were significantly higher than those of the Chinese counterparts (p < 0.01). However, the nitrite scavenging activities of the hot-water extracts did not significantly differ among the mushrooms regardless of their origins. Chinese A. auricula showed the highest nitrite scavenging activity in the ethanol extract. The total polyphenol contents of the ethanol extracts of the three edible mushroom species from both of the countries were higher than those of the hot-water extracts. Korean A. auricula and T. fuciformis yielded a high polyphenol content with hot-water extraction. The ${\beta}-glucan$ contents of the Chinese A. auricula, T. fuciformis, and L. edodes extracts were 20.49%, 31.43%, and 30.09%, respectively, which were higher than those of the Korean counterparts. From the results of this study, it can be deduced that the maximum yield of nutritional ingredients can be extracted by using the optimal solvent for each mushroom species. These results are expected to be useful in appreciating the difference among extracts of Korean and Chinese edible mushrooms in terms of their physiological activities in the solvents used.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.121-135
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• 2014

Object-based classification methods provide a valid alternative to traditional pixel-based methods. This study reports the results of an object-based classification to examine land cover in the demilitarized zones(DMZs) of Inje-gun. We used land cover classes(7 classes for main category and 13 classes for sub-category) selected from the criteria by Korea Ministry of Environment. The average and standard deviation of the spectrum values, and homogeneity of GLCM were chosen to map land cover types in an hierarchical approach using the nearest neighborhood method. We then identified the distributional characteristics of land cover by considering 3 topographic characteristics (altitude, slope gradient, distance from the Southern Limited Line(SLL)) within the DMZs. The results showed that scale 72, shape 0.2, color 0.8, compactness 0.5 and smoothness 0.5 were the optimum weight values while scale, shape and color were most influenced parameters in image segmentation. The forests (92%) were main land cover type in the DMZs; the grassland(5%), the urban area (2%) and the forests (broadleaf forest: 44%, mixed forest: 42%, coniferous forest: 6%) also occupied mostly in land cover classes for sub-category. The results also showed that facilities and roads had higher density within 2 km from the SLL, while paddy, field and bare land were distributed largely outside 6 km from the SLL. In addition, there was apparent distinction in land cover by topographic characteristics. The forest had higher density at above altitude 600m and above slope gradient $30^{\circ}$ while agriculture, bare land and grass land were distributed mainly at below altitude 600m and below slope gradient $30^{\circ}$.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.859-865
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• 2018

A construction of infrastructures and base station on the moon could be undertaken by linking with the regions where construction materials and energy could be supplied on site. It is necessary to detect craters on the lunar surface and gather their topological information in advance, which forms permanent shaded regions (PSR) in which rich ice deposits might be available. In this study, an effective method for automatic detection of lunar craters on the moon surface is taken into consideration by employing a latest version of deep-learning algorithm. A training of a deep-learning algorithm is performed by involving the still images of 90000 taken from the LRO orbiter on operation by NASA and the label data involving position and size of partly craters shown in each image. the Faster RCNN algorithm, which is a latest version of deep-learning algorithms, is applied for a deep-learning training. The trained deep-learning code was used for automatic detection of craters which had not been trained. As results, it is shown that a lot of erroneous information for crater's positions and sizes labelled by NASA has been automatically revised and many other craters not labelled has been detected. Therefore, it could be possible to automatically produce regional maps of crater density and topological information on the moon which could be changed through time and should be highly valuable in engineering consideration for lunar construction.

• Journal of Mushroom
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• v.13 no.2
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• pp.114-118
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• 2015

Mycoleptodonoides aitchisonii has been used a culinary material and traditional medicine for a long time in worldwide and recently the researches to find biological effects have been increased such as dopamine activation, preventive effect against phytopathogens, inhibitive effect against erythrocyte coagulation, anti-oxidative effect, anti-tumorigenic effect, etc. However it is hard to cultivate Mycoleptodonoides aitchisonii it is impossible to be mass-produced and in order to solve the problem in this study we found the appropriate cultivation period and the harvest point for it. For life cycle (from primordium formation to harvest) the morphology, weight, and quantity of polysaccharide of Mycoleptodonoides aitchisonii were measured using with 5 bodies per a day and it could be divided for 4 stages; primordium formation, growth, needle maturation, and aging. And then from the results the Zeide nonlinear growth curve could be gotten. At 13th day after cultivation there is the relation between the change of media weight and body weight and at 14th day after cultivation the rate of polysaccharide in the body was 11 %. However in the case of O2 insufficient supply the malformation of them was observed.

• Journal of Mushroom
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• v.16 no.3
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• pp.236-238
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• 2018

This study investigated the characteristics of different cultivars of Lentinula edodes in sawdust culture at different cultivation days. Between cultivation days 30-120, the color of 'Sanjo701ho' displayed a reduction in L value (brightness) from $83.8{\pm}2.5$ to $45.7{\pm}2.3$, values a and b increased, but hardness decreased from $9.4{\pm}0.9g/mm$ to $2.6{\pm}0.2g/mm$. Between cultivation days 30-120, 'Nongjingo' displayed a reduction in L value from $86.2{\pm}2.1$ to $53.4{\pm}1.3$. Values a and b increased with longer cultivation; however, hardness decreased from $4.8{\pm}0.7g/mm$ on day 30 to $3.8{\pm}1.0g/mm$ on day 120. 'Sanjo701ho' was first harvested at 46 days after a 30-, 89 days after a 60-, 8 days after a 90- (the shortest), and 9 days after a 120-day cultivation. The average fruit body weight was the highest on day 90 of cultivation, at 48.3 g, when the diameter and thickness of the mushroom cap also appeared highest. However, the colorimetric results showed that fruiting bodies produced in the culture medium for 120 cultivation days showed the most excellent commercial properties. 'Nongjingo' was first harvested at 22 days after a 30-, 18 days after a 60-, 8 days after a 90- (the shortest), and 9 days after a 120-day cultivation. Therefore, this study determined that a stable quantity of mushrooms with high commerciality can be produced with 120 cultivation days, considering the shiitake culture and the characteristics of the fruit body.

• The Korean Journal of Mycology
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• v.43 no.1
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• pp.26-32
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• 2015

In this study, a new cultivar of Lentinula edodes was bred from dikaryotic KFRI 490 and monokaryotic KFRI 536 by Di-mon method. The new breed was named "Poongnyunko" and physiological characteristics was investigated. Its optimal growing temperature was $25^{\circ}C$, and it had thin density. Its colony was colorless and did not form any epithelium. On the $7^{th}$ day of mycelial growth, "Poongnyunko" was 56.6 mm, and showed higher cellulase activity compared with "Sanlim 4-ho"(52.9 mm). On the $5^{th}$ day of mycelial growth, "Poongnyunko" was 58.0 mm, and showed higher laccase activity compared with "Sanlim 4-ho" (55.6 mm). Its pH at a substrate was 6.0. Before cultivation, the pH of sawdust substrate was 4.7-5.5 went down to 3.7-3.9 after 120-day cultivation. After 60 days of cultivation, the change of $CO_2$ was the greatest. During the cultivation, $CO_2$ concentration in a growing bag was 4.67% to 3.90%.

• Journal of Environmental Impact Assessment
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• v.8 no.4
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• pp.1-12
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• 1999

The purpose of this study is to develop a Water Quality Management System(WQMS), which calculates pollutant discharge and forecasts water quality with a water pollution model. Operational water quality management requires not only controlling pollutants but acquiring and managing exact information. A GIS software, ArcView 3.1 was used to enter or edit geographic data and attribute data, and Avenue Script was used to customize the user interface. PCI, a remote sensing software, was used to derive land cover classification from 20 m resolution SPOT data by image processing. WQMS has two subsystems, database subsystem and modelling subsystem. The database subsystem consisted of watershed data from digital maps, remote sensing data, government reports, census data and so on. The modelling subsystem consisted of NSPLM(NonStorm Pollutant Load Model) and SPLM(Storm Pollutant Load Model). It calculates the amount of pollutant and predicts water quality. These two subsystems were connected through a graphic display module. This system has been calibrated for and applied to Mokhyun Stream watershed.