• Korean Journal of Environment and Ecology
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• v.30 no.6
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• pp.929-938
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• 2016

This study reviewed the external morphological characteristics of a rare species, Exochorda serratifolia S.Moore, in South Korea through a comparison of its previous records. Also, a distribution map of this species was made using previous data on flora and voucher specimens. Furthermore, the soil characteristics of Exochorda serratifolia S.Moore was analysed in order to determine the correlation between external morphological features and soil characteristics. At the study sites, soil organic matter, total nitrogen, available phosphates, exchangeable potassium, exchangeable calcium, exchangeable magnesium, cation exchange capacity and soil pH were found to be in the ranges of 3.25-29.83%, 0.15-1.14%, 3.0-156 mg/kg, $0.39-1.49cmol^+/kg$, $2.48-38.07cmol^+/kg$, $0.77-18.29cmol^+/kg$, $7.3-23.0cmol^+/kg$ and 4.6-7.1 respectively. The soil condition surrounding the population of Exochorda serratifolia S.Moore in Mt. Ap-san (Daegu) was found to have higher percentages of organic matter, total nitrogen, and cation exchange capacity than the soil condition of other populations. Moreover, the length of inflorescence and the number of flowers in this population were significantly higher than the populations studied in other areas (P < 0.001). We also identified a significant correlation between genetic, geographic distance and several morphological characteristics. A comprehensive review of various data on Exochorda serratifolia S.Moore such as external morphological characteristics, genetic structure, growth conditions, vegetation properties, and environmental characteristics is required to understand its growth characteristics and conserve this rare species.

• Journal of the Korean earth science society
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• v.35 no.7
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• pp.554-561
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• 2014

The rock materials from the two stone heritages in the Seonbonsa temple, Gwanbong Seokjoyeoraejwasang (stone Buddha) and three-storied Stone Pagoda, show almost identical petrographic characteristics. They are greyish white porphyritic granites which mainly consist of plagioclase, alkali feldspar, quartz, biotite, hornblende, and chlorite. The rocks from the both heritages are petrographically similar to those from the outcrops of the Palgongsan granite near the temple. Modal compositions exhibit that the rocks from the stone Buddha belong to monzogranite, whereas those from the pagoda and the outcrop near the temple correspond to syeno- to monzo granite. Whole rock magnetic susceptibility data indicate that the rocks from the stone Buddha, the pagoda, and the outcrop have nearly the same susceptibility values ranging 9-16(${\times}10^{-3}\;SI$). Gamma spectrometer data obtained from these rocks also demonstrate the same value range. In conclusion the two stone heritages in the Seonbonsa temple were made of the Palgongsan granite surrounding the temple.

• The Korean Journal of Quaternary Research
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• v.17 no.2
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• pp.129-133
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• 2003

Water is critically important for Tricholoma matsutake(Tm) growth because it is the major component of the mushroom by over 90%. The mushroom absorbs water through the below ground hyphal colony. Therefore, the objectives of our study were to investigate spatio-temporal water changes in Tm colonies. This study was carried out at Tm fruiting sites in Sogni Mt National Park, where the below-ground mushroom colonies have been irrigated. To identify spatial water status within the Tm soil colony soil moisture and ergosterol content were measured at six positions including a mushroom fruiting position on the line of the colony radius. To investigate temporal soil moisture changes in the soil colony, Time Domain Reflectometry(TDR) sensors were established at the non-colony and colony front edge, and water data were recorded with CR10X data logger from late August to late October. Before irrigation, whereas it was 12.8% at non-colony, the soil water content within Tm colony was 8.0% at 0-5cm from the colony front edge, 6.2% at 10-15cm and 6.5-7.5% at 20-40cm. And the content was 12.1% at 80cm distance from the colony edge, which is similar to that at the non-colony. In contrast, ergosterol content which is proportional to the live hyphal biomass was only 0.4${\mu}g$/g fresh soil at the uncolonized soil, while 4.9 $\mu\textrm{g}$/g fresh soil at the front edge where the hyphae actively grow, and 3.8 ${\mu}g$/g fresh soil at the fruiting position, l.1${\mu}g$/g at 20cm distance and 0.4${\mu}g$/g in the 40cm rear area. Generally, in the Tm fungal colony the water content changes were reversed to the ergosterol content changes. While the site was watered during August to October, the soil water contents were 13.5∼23.0% within the fungal colony, whereas it was 14.5∼26.0% at the non-colony. That is, soil water content in the colony was lower by 1.0∼3.0% than that in the non-colonized soil. Our results show that Tm colony consumes more soil water than other parts. Especially the front 30cm within the hyphal colony parts is more critical for soil water absorption.

• The Journal of the Petrological Society of Korea
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• v.21 no.2
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• pp.173-192
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• 2012

Previous age data were reviewed for 98 sites of Phanerozoic granitoids in the southern part of the Korean Peninsula. Subduction-related granitic magmatism has occurred in southeastern Korea since Early Permian. In the middle part of the Yeongnam massif, arc-related tonalites, trondhjemites, granodiorites, and monzonites were emplaced during Early Triassic. After Middle Triassic continental collision in central Korean Peninsula, post-collisional shoshonitic and high-K series and A-type granitoids were emplaced in the southwestern Gyeonggi massif and central Okcheon belt during Late Triassic. Early Jurassic calc-alkaline granitoids are mostly distributed in the middle part of the Yeongnam massif and Mt. Seorak area, northeastern Gyeonggi massif. On the other hand, Middle Jurassic calc-alkaline granitoids pervasively occur in the Okcheon belt and central Gyeonggi massif. This selective distribution could be attributed to the change in the position of trench, subduction angle, or the direction of subduction. Most Cretaceous and Paleogene granitoids are distributed in the Gyeongsang basin, with the latter emplaced exclusively along the eastern coastline. Outside the Gyeongsang basin, Cretaceous granitoids emplaced in relatively shallow depth occur in the Gyeonggi massif and central Okcheon belt.

• Journal of the Korean earth science society
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• v.28 no.1
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• pp.123-135
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• 2007

Five episodes of the large-scale transport of air pollutants in East Asia and its inflow into the Korean Peninsula have been analyzed through satellite and ground observations. These episodes include regionally polluted continental airmass, which is created by the pollutants produced in the cities and the industrial regions in China, to land on or pass through the Korean Peninsula by way of the Yellow Sea. The analysis of the NOAA satellite observation data made it possible to create images by combining 3 channels of visible and infrared ray ranges and also to identify the distribution and the transport of the air pollution mass over the Yellow Sea. The ground observation data of the air pollutants gathered in Chongwon were found highly valuable in verifying the information in comparison with ones from the satellite. Especially, regarding the episodes of large-scale transport of the air pollutants, the difference of concentration between $PM_{10}\;and\;PM_{2.5}$ was found small with the increase of $PM_{2.5}$ value. The concentration of $PM_{10}$ in the episode of yellows and, however, was found much higher than that of $PM_{2.5}$. In the episode of 27 January 2006, the inflow of the regionally polluted continental air mass into the central and southwestern region of the Korean Peninsula was observed sequentially in the various ground observatories as well as by the satellite. The north-northwest airflow dissipated the clouds over from Mt. Halla in Jeju Island up to far downwind, reduced air pollution, and created von $K\acute{a}rm\acute{a}n$ vortex.

• Journal of Korean Society of Forest Science
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• v.103 no.4
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• pp.613-621
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• 2014

This study was conducted to estimate the changes of stand diversity before and after applying three different silvicultural treatments such as selection cutting system, two-storied system, and shelterwood system. Data were collected in the natural deciduous forests in Pyungchang of Gangwon Province, Korea. Nine permanent sampling plots of 0.09 ha were established in the forests and the each of silvicultural treatments was applied to three sampling plots, respectively. Some tree variables were measured in each stand before and after the silvicultural treatments were applied. With these data, stand attributes were estimated in each stand before and after the silvicultural treatments. In this study, two different indices related to each of stand diversity indices such as contagion, DBH-difference, height-difference, and mingling were estimated and compared to analyze the differences of stand diversity among the stands before and after silvicultural treatments. As a result, total eight stand diversity indices were used to analyze the differences among structures of stands managed by three different silvicultural treatments. Duncan's multiple range test and t-test were then employed to statistically analyze the difference of stand diversity among the stands. The results revealed that stand structures seem to be improved after applying the silvicultural treatments. There are significant differences in the stand diversity indices between before and after silvicultural treatments for each stand. According to the evaluation of stand diversity indices, it was confirmed that spatial structure of the stands was improved by applying the silvicultural treatments.

• Communications of Mathematical Education
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• v.31 no.1
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• pp.103-123
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• 2017

Mathematical tasks in general introduce and deal with real-life situations, and they derive to students' thinking fluently in solving the given tasks. The tasks might be considered as an important and significant factor to lead a successful mathematical teaching and learning situation. MiC Textbook is a representative one showing such good examples and tasks. This study explores concretely and in detail the cognitive demand level of mathematical tasks, by the subject of MiC Textbook. To accomplish this, this study is to reconstruct more elaborately the analysis framework developed by Hwang and Park in 2013. The framework basically was set up utilizing 'the cognitive demand level' suggested by Stein, et, al. The cognitive demand level is divided into two levels such as low level and high level. The low level is comprized of two elements such as Memorization Tasks(MT), Procedures Without Connections Tasks(PNCT), and high level is Procedures With Connections Tasks(PWCT), and Doing Mathematics Tasks(DMT). This study deals with the tasks on the area of 'data analysis and statistics' in MiC 1, 2, 3 level Textbook. As a result, mathematical tasks of MiC Textbook led learners to deal with and understand mathematical content for themselves, and furthermore to do leading roles for checking and reinforcing the content. Also, mathematical tasks of MiC Textbook are comprized of the tasks suitable to enhance mathematical thinking ability through communication. In addition, mathematical tasks of MiC Textbook tend to offer more learning opportunity to learners' themselves while the level of MiC Textbook is going up.

• Korean Journal of Plant Resources
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• v.20 no.5
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• pp.451-460
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• 2007

This study was carried out to construct the data base for biodiversity conservation, and offer the raw data for obtaining the genetic resources. The vascular plants were summarized as 306 taxa; 79 families, 199 genera, 266 species, 35 varieties and 5 forma. The Korean endemic plants were 7 taxa; Salix caprea, S. purpurea var. japonica, Deuitzia coreana, Akebia quinata var. plyphylla, Spiraea prunifolia for. simpiciflora, Lonicera subsessilis and Weigela subsessilis. The naturalized plants were 16 taxa; Dactylis glomerata, Rumex acetocella, R. crispus, Phytolacca esculenta, Tlaspi arvense, Robinia pseudo-acacia, Trifolium repens, Ailanthus altissima, Oenothera lamarckiana, Veronica persica, Ambrosia artemisiifolia var. elatior, Erigeron annuus, Erigeron canadensis, Bidens frondosa, Taraxacum officinale and Sonchus asper. The specific plants by floristic region were 26 taxa; Chloranthus japonica, Populus davidiana, and so forth.

• Journal of the Korean Society of Earth Science Education
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• v.14 no.1
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• pp.1-20
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• 2021

The purpose of this study was to understand students' representational competence while they engaged in learning in geological field trips with scientific models and modeling(Mt. Gwanak and the Hantan-river were formed). Ten students agreed to participate in this study voluntarily. They were attending the Institute of Gifted Education in the Seoul Metropolitan area. The data were collected for all students' activities during field trips and modeling activities using simultaneous video and voice recording, the interview after classes, written data(note) made by the students. The analysis framework that distinguished levels of representational competence and added the resulting interpretation with the final models in the process of scientific models. Results suggested that representational competence levels varied from one to six. However, students showed relatively low levels of representational competence in outdoor learning environments than indoor learning environments. In other words, it began with a relatively low level of representational competence in outdoor class. Then students developed a higher level of representational competence indoor class. Ultimately, we need to understand students' representational competence implies a tool to explain phenomena in the process of modeling activities.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.9-16
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• 2021

In the past, there have been various studies on predicting the stock market by machine learning techniques using stock price data and financial big data. As stock index ETFs that can be traded through HTS and MTS are created, research on predicting stock indices has recently attracted attention. In this paper, machine learning models for KOSPI's up and down predictions are implemented separately. These models are optimized through a grid search of their control parameters. In addition, a hybrid machine learning model that combines individual models is proposed to improve the precision and increase the ETF trading return. The performance of the predictiion models is evaluated by the accuracy and the precision that determines the ETF trading return. The accuracy and precision of the hybrid up prediction model are 72.1 % and 63.8 %, and those of the down prediction model are 79.8% and 64.3%. The precision of the hybrid down prediction model is improved by at least 14.3 % and at most 20.5 %. The hybrid up and down prediction models show an ETF trading return of 10.49%, and 25.91%, respectively. Trading inverse×2 and leverage ETF can increase the return by 1.5 to 2 times. Further research on a down prediction machine learning model is expected to increase the rate of return.