• Proceedings of the KSEEG Conference
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• 2001.05b
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• pp.42-63
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• 2001

The detail survey on the Songsanri tomb site including the Muryong royal tomb was carried out during the period from May 1 , 1996 to April 30, 1997. A quantitative analysis was tried to find changes of tomb itself since the excavation. Main subjects of the survey are to find out the cause of infiltration of rain water and groundwater into the tomb and the tomb site, monitoring of the movement of tomb structure and safety, removal method of the algae inside the tomb, and air controlling system to solve high humidity condition and dew inside the tomb. For these purposes, detail survery inside and outside the tombs using a electronic distance meter and small airplane, monitoring of temperature and humidity, geophysical exploration including electrical resistivity, geomagnetic, gravity and georadar methods, drilling, measurement of physical and chemical properties of drill core and measurement of groundwater permeability were conducted. We found that the center of the subsurface tomb and the center of soil mound on ground are different 4.5 meter and 5 meter for the 5th tomb and 7th tomb, respectively. The fact has caused unequal stress on the tomb structure. In the 7th tomb (the Muryong royal tomb), 435 bricks were broken out of 6025 bricks in 1972, but 1072 bricks are broken in 1996. The break rate has been increased about 250% for just 24 years. The break rate increased about 290% in the 6th tomb. The situation in 1996 is the result for just 24 years while the situation in 1972 was the result for about 1450 years. Status of breaking of bircks represents that a severe problem is undergoing. The eastern wall of the Muryong royal tomb is moving toward inside the tomb with the rate of 2.95 mm/myr in rainy season and 1.52 mm/myr in dry season. The frontal wall shows biggest movement in the 7th tomb having a rate of 2.05 mm/myr toward the passage way. The 6th tomb shows biggest movement among the three tombs having the rate of 7.44mm/myr and 3.61mm/myr toward east for the high break rate of bricks in the 6th tomb. Georadar section of the shallow soil layer represents several faults in the top soil layer of the 5th tomb and 7th tomb. Raninwater flew through faults tnto the tomb and nearby ground and high water content in nearby ground resulted in low resistance and high humidity inside tombs. High humidity inside tomb made a good condition for algae living with high temperature and moderate light source. The 6th tomb is most severe situation and the 7th tomb is the second in terms of algae living. Artificial change of the tomb environment since the excavation, infiltration of rain water and groundwater into the tombsite and bad drainage system had resulted in dangerous status for the tomb structure. Main cause for many problems including breaking of bricks, movement of tomb walls and algae living is infiltration of rainwater and groundwater into the tomb site. Therefore, protection of the tomb site from high water content should be carried out at first. Waterproofing method includes a cover system over the tomvsith using geotextile, clay layer and geomembrane and a deep trench which is 2 meter down to the base of the 5th tomb at the north of the tomv site. Decrease and balancing of soil weight above the tomb are also needed for the sfety of tomb structures. For the algae living inside tombs, we recommend to spray K101 which developed in this study on the surface of wall and then, exposure to ultraviolet light sources for 24 hours. Air controlling system should be changed to a constant temperature and humidity system for the 6th tomb and the 7th tomb. It seems to much better to place the system at frontal room and to ciculate cold air inside tombs to solve dew problem. Above mentioned preservation methods are suggested to give least changes to tomb site and to solve the most fundmental problems. Repairing should be planned in order and some special cares are needed for the safety of tombs in reparing work. Finally, a monitoring system measuring tilting of tomb walls, water content, groundwater level, temperature and humidity is required to monitor and to evaluate the repairing work.

• Journal of Wetlands Research
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• v.25 no.4
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• pp.306-314
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• 2023

Stream sediments are an important component of water quality management because they are receptors of various pollutants such as heavy metals and organic matters emitted from upland sources and can be secondary pollution sources, adversely affecting water environment. To effectively manage the stream sediments, identification of primary sources of sediment contamination and source-associated control strategies will be required. We evaluated the performance of machine learning models in identifying primary sources of sediment contamination based on the physico-chemical properties of stream sediments. A total of 356 stream sediment data sets of 18 quality parameters including 10 heavy metal species(Cd, Cu, Pb, Ni, As, Zn, Cr, Hg, Li, and Al), 3 soil parameters(clay, silt, and sand fractions), and 5 water quality parameters(water content, loss on ignition, total organic carbon, total nitrogen, and total phosphorous) were collected near abandoned metal mines and industrial complexes across the four major river basins in Korea. Two machine learning algorithms, linear discriminant analysis (LDA) and support vector machine (SVM) classifiers were used to classify the sediments into four cases of different combinations of the sampling period and locations (i.e., mine in dry season, mine in wet season, industrial complex in dry season, and　industrial complex in wet season). Both models showed good performance in the classification, with SVM outperformed LDA; the accuracy values of LDA and SVM were 79.5% and 88.1%, respectively. An SVM ensemble model was used for multi-label classification of the multiple contamination sources inlcuding landuses in the upland areas within 1 km radius from the sampling sites. The results showed that the multi-label classifier was comparable performance with sinlgle-label SVM in classifying mines and industrial complexes, but was less accurate in classifying dominant land uses (50~60%). The poor performance of the multi-label SVM is likely due to the overfitting caused by small data sets compared to the complexity of the model. A larger data set might increase the performance of the machine learning models in identifying contamination sources.

• Journal of Korean Society of Forest Science
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• v.64 no.1
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• pp.42-46
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• 1984

This study was carried out to obtain the advanced basic data for hillside erosion control works. Recovery of vegetation in the hillside erosion control districts depends on various factors i.e., topographies, soil qualities, rain conditions and erosion control methods. The only relations between topographies and vegetation coverage were surveyed, since the other factors were equal in all those surveyed areas. The results obtained are summarized as follows; 1) Mean coverage values were decreased in order of 80%, 78.7%, 64.0% and 56.5%r in concave slope, uniform slope, compound slope and convex slope respectively. The mean coverage of all aspects was 69.8%. The slope pattern have a influence on formation of coverage. 2) Moisture ratio in soil and mean slope have an effect on the mean coverage value. 3) In the beginning of the hillside erosion control working, coverage (14.8%) by arbor species was too low comparing with that by herb. 4) It is more desirable to recover regetation by artificial planting or seed planting than by the natural vegetation in the barren hillside. In the beginning of the hillside erosion control working, it is difficult to expect vegetation recovery by natural species.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.4
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• pp.343-348
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• 2014

We developed a simple model to predict emergence time and emergence rate of southern type garlic using the daily mean temperature. Emergence rate of garlic was decreased and emergence time was delayed on higher temperature than optimum temperature of $12.7^{\circ}C$. In the model, firstly daily emergence rate was calculated using a beta function to input daily mean temperature, then the percentage of garlic emergence was calculated using a nonlinear model with accumulated emergence rate. The model was good to describe the experimental data of growth cabinet. Also it can explain well the experimental data using temperature gradient tunnel, designed for verification of model performance. But there are 5 days of deviation between estimated and measured time of garlic emergence on the field experiment. More research is needed to develop an advanced model considering other factors, such as soil moisture.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.48 no.6
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• pp.506-515
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• 2003

Six barley varieties that showed different degree of drought tolerance were grown with and without drought stress treatment (control), and investigated for the temporal changes in growth and several physiological traits after drought treatment. Soil water potential was -0.05 ㎫ at the initial stage of drought treatment and dropped to -0.29 ㎫ at 19 days after withholding irrigation. Soil water potential (SWP) maintained at -0.05 ㎫ in the control. The dry weight (DW) under the drought treatment were reduced compared to the control as follows: Dicktoo-S (short awn), 69% ; Dicktoo-L (long awn), 70%; Dicktoo-T (tetra), 86%; Dongbori-1, 69%; Suwonssalbori-365, 55% and Tapgolbori, ,37%. Dicktoo lines and Dongbori-1 were more tolerant than Suwonssalbori-365 and Tapgolbori. Leaf relative water contents (RWC) and leaf water potential (LWP) decreased obviously under the drought condition, the decrease being greater especially in the less drought-tolerant barley genotypes. Dongbori-1 and Dicktoo-L in drought treatment showed net photosynthesis of 38% and 17% compared to the control, respectively, and the other four genotypes much lower photosynthesis of 1.1% to 7.0%. Stomatal conductance, mesophyll conductance, and the photochemical efficiency (Fv/Fm) of PS II were reduced by drought treatment, the reduction being greater in drought-sensitive genotypes. The drought-tolerant genotypes had greater osmotic adjustment (OA) capacity under water stress. Thus, the decrease of RWC and LWP was lower and the turgor pressure conservation capacity was higher under water stress in drought-tolerant genotypes. Drought-tolerant genotypes showed less decrease of photosynthesis because stomatal conductance, mesophyll conductance and the ratio (Fv/Fm) of the variable to maximal fluorescence of drought-resistant genotype was decreased less in the drought stress condition. In conclusion, the drought-tolerant genotypes had better water conservation capacity through efficient OA, and this led to the lower decrease of photosynthesis and growth in water stress condition.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.9 no.1
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• pp.56-60
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• 1976

In order to find effective seed collection method from cultivated Porphyra, benthic diatom elimination, culturing conditions of Conchocelis, liberation of conchospores and treatment of the fronds to obtain monospores have been studied. Elimination of benthic diatoms from Porphyra fronds is successfully performed by careful brushing the fronds in sea water and freshwater alternatively. For the culturing of Conchocelis Schleiber's solution enriched with only soil extracts, vitamins and Fe-EDTA was satisfactory. Growth under 16 hours illumination is 1.29 times faster than those under 10 hours illumination. When the culturing water was airated the growth was $1.41\~l.50$ times faster than the growth in stagnant water. Total amount of conchospores liberated from Conchocelis which has been cultured under airation was much more than those of conchospores under stagnant condition. Effective liberation of monospores was observed in the fronds which have been dried in air for 6 hours $(21.23\~24.19\%\;water\;content)$.

• Journal of Wetlands Research
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• v.18 no.2
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• pp.201-207
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• 2016

In LID facilities treating stormwater runoff, various kinds of plants are applied for water circulation recovery and pollutant reduction. However, rapid changes of soil moisture due to the use of porous media and spread of deicing material during winter season cause slow plant growth that detrimentally leads to many problems including death of plants. Therefore, this study was performed to evaluate the salt resistance of plants, its effects on pollutants removal, and water circulation recovery. Eight different kinds of plants applicable to an LID facility were selected for the experiment, which were Bridal wreath (Spiraea japonica, S.J), Azalea (Rhododendron indicum, R.I), Dawn Redwood (Metasequoia glyptostroboides, M.G), Sweet flag (Acorus calamus A.C), Dwarf fan-shape columbine(Aquilegia flabellata, A.F), Pink (Dianthus chinensis, D.C), Pratia pedunculata (Pratia pedunculata, P.B) and Marigold (Tagetes patula, T.P). Woody plants such as S.P, R.I, and M.G appear to have less salt resistance compared to the other herbaceous plants. Specifically, M.G achieved the highest salt resistance among the other woody plants being followed by S.P, and R.I, respectively. For herbaceous plants, T.L and D.C have the higher salt resistances than that of A.C, P.B, and A.F, respectively. Regardless of the influence of salt to most of the plants, TN and TP were reduced more than 60% and the study suggests the M.G showed high pollutant removal efficiency and provided better water circulation by means of active photosynthesis and respiration due to higher growth.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.672-680
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• 2019

This paper proposes "A Smart Farm Environment Optimization and Yield Prediction Platform based on IoT and Deep Learning" which gathers bio-sensor data from farms, diagnoses the diseases of growing crops, and predicts the year's harvest. The platform collects all the information currently available such as weather and soil microbes, optimizes the farm environment so that the crops can grow well, diagnoses the crop's diseases by using the leaves of the crops being grown on the farm, and predicts this year's harvest by using all the information on the farm. The result shows that the average accuracy of the AEOM is about 15% higher than that of the RF and about 8% higher than the GBD. Although data increases, the accuracy is reduced less than that of the RF or GBD. The linear regression shows that the slope of accuracy is -3.641E-4 for the ReLU, -4.0710E-4 for the Sigmoid, and -7.4534E-4 for the step function. Therefore, as the amount of test data increases, the ReLU is more accurate than the other two activation functions. This paper is a platform for managing the entire farm and, if introduced to actual farms, will greatly contribute to the development of smart farms in Korea.

• Journal of Korean Society of Forest Science
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• v.97 no.1
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• pp.53-60
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• 2008

This study was carried out to investigate the optimum management system during a overwintering for the production of Pinus densiflora container 2-0 seedlings. The experiment performed between 2005~2006 in a polyethylene film house (PE house) located at Yeoju-Gun in Kyungki-Do. During the winter in the PE house, the difference in maximum day temperature and minimum day temperature was large, and the difference in temperature was detected between the container keeping locations. During the winter season, the maximum day temperatures at the seedling bench in January and February were $32.8^{\circ}C$ and$36.6^{\circ}C$, respectively, whereas those at the ground in January and February were $16.0^{\circ}C$ and $24.4^{\circ}C$, respectively. Water contents of container seedlings was reduced gradually from the beginning the experiment, and reduced rapidly from February to March, and increased rapidly from April. Container seedlings showed different death rate according to the extending of the irrigation cycle. Death rate by one week and two weeks of irrigation cycle was 4.8% and 6.5%, and 38.5% and 49.4% of death rate occurred by three and four weeks of irrigation cycle, respectively. It is suggested that the proper irrigation cycle for P. densiflora 2-0 container seedlings during overwintering is two weeks. When containers placed directly on the ground, the root of container seedlings went out through the drainage of the container, and grew out in the soil. These roots were cut while moving the container to the bench in spring.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.693-697
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• 2007

지하수 함양량을 산정하기 위해서 유역물수지 모형 또는 지하수위 변동곡선법등이 활용되어 왔으며, 각각의 장단점에 대한 많은 논의가 있었다. 지역내의 지하수 관리계획을 위해서는 유역물수지 모형이 적합한 반면, 실제(actual) 함양량의 정확성 문제가 있으며, 지하수위 변동곡선법은 실제 지하수의 증감을 통해 실제 함양변화를 잘 표현하는 반면, 그 영향권이 관측공에 의해 제한된다는 단점이 있다. 이와 같은 두 방법의 장점을 살리고 단점을 보완하기 위해 본 연구에서는 유역유출모의와 지하수위 변동을 동시에 고려하여 지하수 함양량을 추정하는 방안을 제시하였다. 수문학적 과정으로 함양을 분석하기 위해 준분포형 수문모형인 SWAT과 완전분포형 지하수 유동해석 모형인 MODFLOW의 결합모형을 이용한 유역단위 유출해석을 수행한다. 실제로 하천변에 위치한 관측공에서의 지하수위는 하천유출시계열과 유사한 양상을 보이며, 상류 경사지에 위치한 관측공의 지하수위는 토양수의 지체와 감수현상을 나타내므로 이같이 시간적으로 상이한 지체 양상을 반영하기 위해 모형내의 비포화대를 통과하는 함양의 거동을 기존의 단일 저수지 모형에서 다단 저수지 모형으로 개선하고 지체함수와 관련된 매개변수를 보정함으로써 모의 함양 시계열과 관측 지하수위 시계열간의 상관성 분석을 수행할 수 있다. 아울러 모의 및 관측 지하수위 분포의 비교를 통해 공간적인 지하수 분포에 대한 검증을 수행함으로써 함양량 산정 절차가 완성된다. 이같은 일련의 절차는 기존의 유역물수지 모형과 지하수위 변동법을 동시에 고려한 새로운 방식의 지하수 함양량 산정기법으로 제시할 수 있을 것이다.성빈맥(1예), 저심박출증(3예), 재수술이 필요했던 출혈(2예), 흉골 지연봉합(2예), 급성 신부전(2예), 폐렴(1예), 대동맥내 풍선펌프로 인한 혈전색전증(1예),수술 후 섬망(2예) 등이 있었다. 생존한 10명의 환자들 중 1명을 제외한 나머지 9명의 환자에서 $38{\pm}40$개월간의 추적관찰이 되었는데, 추적 관찰 기간 중에 3명이 사망하였고 생존한 6명의 환자는 모두 양호한 상태(NYHA 기능등급, $I{\sim}II$)를 보였으며, 그 중 3명에서는 혈역학적으로 큰 의미가 없는 잔여단락이 있었다. 결론: 급성 심근경색증 후 심실중격 결손은 수술위험도가 높은 질환이지만, 수술 전 대동맥내 풍선펌프를 삽입하고 조기에 심실중격 결손부의 infarct exclusion 술식과 함께 관상동맥우회술을 시행함으로써 만족할 만한 수술 및 중기 결과를 얻을 수 있었다.출물 투여로 저하되었으나 NC군보다는 높게 나타났다. 간 중 중성지질 함량은 참나물 에탄올 추출물 투여 용량에 따른 유의차가 없었으나, 총콜레스테롤 함량은 고용량 병합투여한 HC-PBH군만 유의하게 저하되었다. 혈청 및 간 중의 지질 함량 변화는 정상식이를 급여한 NC군과 NC-PB군 간에는 유의차가 없었다. 따라서 고콜레스테롤식이를 급여하면서 참나물 에탄올 추출물을 병합투여 시에만 지질대사 개선 효과가 있는 것으로 여겨지며, 고용량 병합투여 시 효능이 더 큰 것으로 나타났다. 고콜레스테롤식이로 인한 산화적 스트레스가 고콜레스테롤혈증을 유발하였으며, 이는 참나물 에탄올 추출물에 함유된 항산화물질을 포함한 여러 생리활성물질