• Journal of Ginseng Research
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• v.22 no.4
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• pp.289-293
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• 1998

Six-year-old ginseng roots were divided into rhizome, main root (epidermis, cortex and xylem) and lateral root (big tail root, mid tail root and fine tail root) and the concentration levels of soluble dietary fiber (SDF) and insoluble dietary fiber (IDF) in each part of the ginseng were investigated. The amount ratios of SDF to IDF (SDF/IDF) in various parts of the ginseng root were also compared. The concentration levels of SDF and IDF in the ginseng root were 6.56% and 15.41 %, respectively, where the level of SDF in main root was a little higher than that of lateral root. However the amount of IDF in main root was lower than that of lateral root. The SDF/IDF was highest in main root, 0.513, which was higher than that of lateral root or rhizome. The SDF/IDF was 0.704 in xylem, 0.478 in cortex, and 0.099 in epidermis of the main root and the SDF/IDF was 0.576 in big tail root, 0.463 in mid tail root, and 0.255 in fine tail root of the lateral root. It has been reported that SDF might have preventive effects on diabetes, obesity, high blood pressure, colon and rectum cancers, while IDF might have preventive effects on constipation. Therefore, main root of six-year- old ginseng root is thought to have a little different physiological activity from lateral or fine tail roots.

• Journal of Forest and Environmental Science
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• v.11 no.1
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• pp.22-39
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• 1995

Following "Studies on Characteristics of Pin us densiflora Forest in Kangwon Province (III)- Studies on the Tree-Root Form and Distribution on the Campus Forest, Kangwon Nat'l Univ.-", the form and distribution of root system was investigated for 5 trees in Songhyun-Ri, Wangsan-Myon, Myengju-Gun, Kangwon Province. Vertical tap roots and flat roots were established very well. In root distribution, fine roots were sparsly distributed (+), although 7 smaller quadrats($10{\times}10cm$) were found with the value of 1(+~20%) index of fine root; big roots 0.2cm thick in diameter were most common. More than 50% of fine roots and big roots were found around the depth of 10~30cm in soil.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.1
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• pp.58-67
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• 2020

A big data processing method to predict solar power generation using systems engineering approach is developed in this work. For developing analytical method, linear model (LM), support vector machine (SVN), and artificial neural network (ANN) technique are chosen. As evaluation indices, the cross-correlation and the mean square root of prediction error (RMSEP) are used. From multi-variable comparison test, it was found that ANN methodology provides the highest correlation and the lowest RMSEP.

• Journal of Forest and Environmental Science
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• v.10 no.1
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• pp.8-24
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• 1994

Because of the underground existence of roots, a few studies have been reported on root system. The developmental information of roots should be understood for the studies of specific tree traits and the influence of such traits on the soil surface fixation. In order to clarify the specific character of pine forest in Kangwon Province, the investigation on the form and distribution of root system of pine trees were carried out for 5 trees in the Campus Forest, Kangwon National Univ.. Root form was very well in flat root. As soil depth was approximatly 50cm, fine roots were very sparsly distributed(+), roots of 0.2cm in diameter were most common and roots > 0.2cm were very rare, also thickness thined. 60~70% all the roots were developed at the depth of 0~30cm, where big roots were below 0.9cm in diameter and fine roots were higly sparse(+).

• The Korean Journal of Ecology
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• v.26 no.3
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• pp.129-134
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• 2003

Amounts of CO₂ fixed by net primary production and released by soil respiration were determined on big-cone pine plantation. Net primary production, which was determined by allometric method, was converted into CO₂. CO₂ evolution in forest ecosystems are mainly through soil and root respiration. In order to separate root respiration from soil respiration, root-free sites were made in stand. Litter removal sites were prepared to estimate CO₂ evolution through litter layer. Respiration was measured at every two weeks intervals from April 2001 through April 2002, and soil temperature and soil moisture were measured at the same time. Net primary production of this big-cone pine plantation was 25.7 t·ha/sup -1/·yr/sup -1/. The amount of CO₂ fixed by this plantation was 42.5 t CO₂·ha/sup -1/·yr/sup -1/, The amount of CO₂ released by soil respiration was 5.0 t CO₂·ha/sup -1/·yr/sup -1/. The relative contribution of root respiration and litter layer respiration to total respiration was 46% and 32%, respectively. Net amount of fixed CO₂ was 37.5 t CO₂·ha/sup -1/·yr/sup -1/ in this big-cone pine plantation. From this result, this big-cone pine plantation play a carbon sink source from the atmosphere.

• Journal of Environmental Science International
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• v.18 no.6
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• pp.621-632
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• 2009

Rare earth contents(REE) were analysed for the plants, M. sinensis. A. vulgaris and R. crataegitolius, from two different soils serpentine area consisting of serpentinite(SP) and non-serpentine area, containing amphibole schist(AS) of Gapyeong area, and were compared with soils and host rocks. The AS were high with the differences of several times in the top soils, and with the differences of several to ten times in the host rocks relative to the SP. In the same area, the SP were high in the soil, but the rocks for the AS. In the plants, the A. vulgaris were high, but low in the R. crataegitolius. Root parts were higher than the upper parts. Differences between the upper and root parts were big in the SP rather than the AS, and were big in the R. crataegitolius, but small in the M. sinensis. Among the parts of the plants, high elements were shown in the R. crataegitolius of the SP, and the A. vulgaris and M. sinensis of the AS. In the correlation coefficients, most of the REE showed positive relationships among the element pairs, especially high positive correlation coefficients in the upper parts of the SP.Differences of the soils and plants(average) were smalle in the M. sinensis and big in the R. crataegitolius. In the upper parts. contents of the A. vulgaris were close to the soils while the R. crataegitolius showed large discrepancies with the soils. In the root parts, contents of the A. vulgaris showed discrepancies with the soils regardless of soil types, but close in the R. crataegitolius of the SP and M. sinensis of the AS.

• East Asian Economic Review
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• v.20 no.4
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• pp.493-517
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• 2016

This paper examines the persistent properties of 12 sectoral relative prices between Korea and Japan obtained following the Classification of Individual Consumption according to Purpose (COICOP) over the period of 1985-2016. Applying a new econometric method developed by Pesaran which controls for the cross-section dependence in a panel, we are not able to reject the hypothesis that the sectoral real exchange rates contain a common stochastic trend. On the other hand, the well-known panel unit root tests such as the IPS and LLC tests widely used by previous studies strongly reject the unit root hypothesis. Since the error term of the regression for our panel exhibits significant cross-section dependence, these opposite results justify that the use of the new econometric method is appropriate.

• Journal of Ginseng Research
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• v.4 no.1
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• pp.16-30
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• 1980

In order to increase the production of ginseng, a cultural experiment was carried out under different types of natural forest condition. Seedlings were transplanted with three spacing (70,90 and plants per 1.62m2) under the broad leaved, needle and mixed forest. The obtained results are as follows. 1 Growth of aerial part of ginseng plant. 1) Vegetative growth under forest condition of very poor as compared with ordinary cultivation, but there was no significant in number of leaf and teasel. 2) Stem diameter and stem length under the different forest types were a little difference. However petiole length and number of leafet showed an increasing trend in broad leaved forest as compared with other forest types. 3) The withering date of aerial part of ginseng plant in the needle forest was later than of others. 2. Fresh weight of ginseng root per plant was decreasing in the order of broad leaved forest, needle and mixed forest, needle and sized forest respectively. However the root weight was much smaller than that of ordinary cultivated one. 3. No big difference was observed in the growth of both aerial and root among the planting density 4. Nitrogen content in ginseng root under forest was lower, but calcium content In root was higher than that of ordinary one. 5. Fat and fiber content of ginseng root under forest showed higher than that of ordinary one. 6. The saponin content of ginseng root grown under forest condition was higher than that of ordinary ginseng root. According to high performance liquid chromatogram of saponin, only difference from ordinary cultivated ginseng root was that ginsenoside Re showed higher peak than ginsenoside Rg1.

• Journal of Ginseng Research
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• v.30 no.1
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• pp.31-40
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• 2006

Ginsengs(1-3 years old) from the Keumsan were analysed for the rare earth element(REE) contents and compared with their soils from the biotite granite(CR), phyllite(PH) and shale(SL) areas. In the soils, high REE contents and correlations were found in the SL. In the ginsengs, high element contents were shown in the SL. High correlations were found in the 3 year. In the upper parts, the 2 year of the GR was mainly high. Comparing with the same aged ginsengs, high elements were shown in the SL. Positive correlations were dominated and high correlations were shown in the 3 year ginsengs. In the root parts, the GR was high in the 2 year while the PH and SL were high in the 3 year. Comparing with the same ages, high elements were shown in the SL. High correlation relationships were found. Comparing between upper and root parts, the upper parts were mainly high, LREE showed big differences and relative ratios of the 2 year were mainly high. Comparing between soils and ginsengs, the soils were mainly high. Ratios between soils and root parts(soils/root parts) were higher than those of the upper parts. Ratios of the LREE showed big differences relative to those in the HREE and the ratios increased with ages. Overall results suggested that ginsengs of the SL were similar to those of soils and those of the PH showed big differences.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.331-341
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• 2014

Internet of Thing(IoT), which is recently talked about with the development of information and communication technology, provides big data to all nodes such as companies and homes, means of transportation etc. by connecting all things with all people through the integrated global network and connecting all actual aspects of economic and social life with Internet of Thing through sensor and software. Defining Internet of Thing, it plays the role of a connector of providing various information required for the decision-making of companies in the cloud computing environment for the Insight usage by collecting and storing Raw Data of the production site through the sensor network and extracting big data in which data is accumulated and Insight through this. In addition, as the industry showing the largest linkage with other root industries among root industries, the mold industry is the core technology for controlling the quality and performance of the final product and realizing the commercialization of new industry such as new growth power industry etc. Recently, awareness on the mold industry is changing from the structure of being labor-intensive, relying on the experience of production workers and repeating modification without the concept of cost to technology-intensive, digitization, high intellectualization due to technology combination according to IT convergence. This study, therefore, is to provide a golden opportunity to increase the direct and indirect expected effects in poor management activities of small businesses by actually implementing and managing the entire process of mold life cycle to information system from mold planning to mass production and preservation by building SME(small and medium-sized enterprises)-type mold life cycle management information system in the cloud computing environment and applying it to the production site.