• Korean Journal of Plant Resources
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• v.20 no.2
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• pp.99-103
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• 2007

Tuber yield and content of general component and diosgenin which is a main bioactive property were investigated in order to determine the growth characteristics of round typed yam (Dungeon-ma, Dioscorea opposita L.) and the potential of artificial culture at Suwon, Korea. Sprouting rates of segmented small tubers such as 3, 5, 7, 9, and 12g were respectively 60.3, 80.5, 85.3, 98.6 and 99.3% when they were investigated 30 days after planting. Segmented small tubers of 3, 5, 7, 9, and 12g enlarged respectively to 66, 87, 98, 120, and 140g in the green-house cultivation. Segmented small tubers of 3, 7, 12, 18, and 23g enlarged respectively to 35.2, 124.7, 142.7, 174.8, and 200,7g in the open-air field cultivation.

• Journal of the Earthquake Engineering Society of Korea
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• v.22 no.2
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• pp.55-62
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• 2018

In this study, natural period formular is presented for a RC shear wall structure with H-, T-, and L-shaped wall sections. The natural period formular proposed by Goel and Chopra and adopted in ASCE 7-10 was modified by using the ratio of the flange and web wall area. The natural periods of structures with H-shaped wall were numerically obtained, the results indicated that the ASCE 7-10 could not consider the natural period variation according to the length of the flange wall, but the proposed formula could do. Especially, ASCE 7-10 estimated much longer periods than eigenvalue analysis, and this implies that conservative seismic design is difficult. The periods by eigenvalue analysis exist between the upper and lower bounds given by the proposed formula, and conservative design is possible by using the proposed lower bound value. In order to verity the effectiveness of the proposed method, actual residential buildings with various types of flange walls are considered. Ambient vibration tests, eigenvalue analyses, and nonlinear dynamic analyses were conducted and the periods were compared with the values by ASCE 7-10 and the proposed formula. The results showed that the proposed formula could estimate more accurately the periods than ASCE 7-10.

• Korean journal of applied entomology
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• v.30 no.2
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• pp.124-129
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• 1991

This study investigated seasonal occurrence and daily flight activity using synthetic sex pherom mone and injury characteristics of 야et armyworm, Spodoptera exigua in Chonnam area of K Korea in 1990. Male adults were attracted to phermone trap from mid-June to late November w with the peaks at mid-late August, mid-late September and early-mid November in vinyl i house and also were attracted from mid October to late November in field. Primary peak of occurrence in vinyl house was 20 days sooner than field. It seems to have 6 generations a year in C Chonnam region based on the estimation of larval biomass. Daily male flight was active from m midnight to before sunrise with the peak at 4-6 A.M .. In injury characteristics at various host plants, damage was great in early growing stage at below 10 cm of plant height in Allium fistulsum. Chrysanthemum morifolium was damaged at mostly upper part of leaves reaching to m the extent up to 70%. In case of Gypsophila paniculata, plants injured at early growing stage do n not grow and flower normally.

• Korean Chemical Engineering Research
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• v.54 no.6
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• pp.775-780
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• 2016

Recently, photovoltaic industry needs a new design of Czochralski (Cz) process for higher productivity with reasonable energy consumption as well as solar cell's efficiency. If the process uses the large size reactor for increasing productivity, it is possible to produce a 12-inch, rather than the 8-inch. Also the continuous czochralski process method can be maximized to increase productivity. In this study, it was designed to improve the yield value of ingot with optimal condition which reduce consumption of electrical power. It has increased the productivity of the 12-inch ingot process condition by using CFD simulation. I have found optimal growth rate, by comparing each growth rate the interface shape, Temperature gradient, power consumption. As a result, the optimal process parameters of the growth furnace has been derived to improve for the productivity and to reduce energy. This study will contribute to the improvement of the productivity in the solar cell industry.

• Journal of The Korean Association of Information Education
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• v.20 no.1
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• pp.57-68
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• 2016

The purpose of this study is to examine factors affecting flipped learning outcomes. For this study, 44 middle school students participated in flipped learning activities during science classes. After 5 week of classes, they responded the following surveys: intrinsic motivation, self-regulation, interest in class, interest in science, and learning achievement. Multiple regression analyses with correlation applied to this study as data analysis methods. The results showed that intrinsic motivation significantly predicted interest in class and interest in science. In addition, self-regulation significantly predicted learning achievement. Therefore, these findings imply that intrinsic motivation and self-regulation should be considered for designing flipped learning activities in middle school science classes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.147-153
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• 2018

Beacon enables one to measure distance indoors based on low-power Bluetooth low energy (BLE) technology, while GPS (Global Positioning System) only can be used outdoors. In measuring indoor distance using Beacon, RSSI (Received Signal Strength Indication) is considered as the one of the key factors, however, it is influenced by various environmental factors so that it causes the huge gap between the estimated distance and the real. In order to handle this issue, we propose the adaptive ANN (Artificial Neural Network) based approach to measuring the exact distance using Beacon. First, we has carried out the preprocessing of the RSSI signals by applying the extended Kalman filter and the signal stabilization filter into decreasing the noise. Then, we suggest the multi-layered ANNs, each of which layer is learned by specific training data sets. The results showed an average error of 0.67m, a precision of 0.78.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.219-225
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• 2019

There is a problem with the existing method of selecting the difficulty levels of Hanja characters. Some Hanja characters selected by the existing methods are different from Sino-Korean words used in real life and it is impossible to know how many times the Hanja characters are used. To solve this problem, we measure the difficulty of Hanja characters using the multiple regression analysis with the frequency as the features. Based on the elementary textbooks, FWS and FHU are counted. A questionnaire is written using the two frequencies and stroke together to answer the appropriate timing of learning the Hanja characters and use them as target variables for regression. Use stepwise regression to select the appropriate features and perform multiple linear regression. The R² score of the model was 0.1105 and the RMSE was 0.1105.

• The Journal of Korean Association of Computer Education
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• v.18 no.4
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• pp.19-30
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• 2015

This study investigated the structural relationships among performance expectancy, effort expectancy, social influence, facilitating condition, attitude, usage intention and actual use. In order to examine structural relationships among variables, we surveyed 285 high school students in spring semester of 2014. After collecting data, we examined causal relationships among variables using structural equation modeling. The results of this study were as follows: First, performance expectancy and effort expectancy significantly affected attitude; however, social influence did not. Second, attitude affected usage intention and usage intention significantly affected actual use. Third, the indirect effect of attitude between performance expectancy, effort expectancy and usage intention were significant and the indirect effect of usage intention between attitude and actual was also significant. Finally, the moderating effect of gender and experience were not significant. Based on this study, the practical strategies to facilitate usage intention and actual use of mobile learning of high school students were suggested.

• Korean Journal of Health Education and Promotion
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• v.27 no.3
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• pp.23-31
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• 2010

Objectives: This study aims to identify factors related to exercise of some female college based on Theory of planned behavior. Methods: This study surveyed 500 female students attending a university to answer to self-reported questions using a questionnaire from May 3 to May 22 2010 and used 462 copies of the responses except insincere ones for the final analysis. Results: Of the 462 subjects, 30.7%(142) did regular exercise more than 3 times a week. As a result of the univariate analysis, there were relations between drinking, need of Exercise, attention to health, health habits, perceived behavior control and intention of exercise, and regular exercise. As a result of the multiple Logistic regression, there was a statistically significant relation between regular exercise and perceived behavior control and intention and drinking. Conclusion: This study identified that there were relations between drinking, perceived behavior control and intention of female college students and their regular exercise. Therefore, to promote their regular exercise, it is suggested that educational programs which consider such factors should be developed.

• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.617-624
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• 2017

The production of cabbage, which is mainly cultivated in open field, varies greatly depending on weather conditions, and the price fluctuation is largely due to the presence of a substitute crop. Previous studies predicted the production of cabbage using actual weather data, but in this study, we predicted the wholesale price using unstructured agricultural meteorological data on the web. From January 2009 to October 2016, we collected documents including the cabbage on the portal site, and extracted keywords related to weather in the collected documents. We compared the forecast wholesale prices of simple models and unstructured agricultural weather models at the time of shipment. The simple model is AR model using only wholesale price, and the unstructured agricultural weather model is AR model using unstructured agricultural weather data additionally. As a result, the performance of unstructured agricultural weather model was has been found to be more accurate prediction ability.