• Korean Journal of Plant Resources
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• v.12 no.3
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• pp.186-191
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• 1999

This study was conducted to evaluate the growth characteristics and grain component of 10 collected colored rice cultivars to find out the possibilities of using the agronomically usefull characters to provide information for colored rice breeding and cultivation. The coefficients of variation of culm length, grains number, ripening rate, maturity time, and coat color of grain and seed were higher than those of other characters. The positive correlations were observed among heading dates, grain numbers per panicle, and 1000 grain weight, as well as between culm length and panicle length, panicle length and grain numbers per panicle, 1000 grain weight and darkness of seed coat color, while negative correlations were observed between heading dates and panicle numbers per hill, grain yield and seed coat color as well as among culm length, length, number per hill and seed coat color of brown rice, respectively. The first component of principal component analysis was consist of panicle numbers per hill, 1000 grain weight, and grain yield showing higher correlations among them which explained the variance of the sink size of respective cultivars. The second component of principal component analysis was consist of heading date, grain numbers per panicle and maturing date showing higher correlations among them which explained the variance of maturity of respective cultivars.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.26 no.2
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• pp.157-166
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• 1981

Laboratory experiements were conducted to evaluate water uptake and osmotic potential of soybean seeds associated with germinability. Bonus, Wayne, Essex and Pickett were selected for this study. Large and small seeds from the four varieties were included in water uptake measurements at $25^{\circ}C$ There were significant differences in water uptake during germination due to seed size and cultivars at optimum moisture condition, -6 and -15 bars soil moisture. As water stress increased, the water uptake of Pickett and Essex were superior to Bonus and Wayne, and small seeds were superior to large seeds. The seed moisture content at germination was 60.8% on a fresh weight basis under optimum moisture condition. The minimum moisture contents necessary for the germination were 50.2% at -6 bars and 50.9% at -15 bars. There were significant differences among varieties in seed osmotic potential during germination, although these differences depended on imbibition time. The average osmotic potential ranged from -32.0 bars after 4 hours imbibition to -11.2 bars at the beginning of germination. The correlation coefficient between seedling length and osmotic potential was not significant after any period of imbibition, suggesting that osmotic potential is not directly associated with seedling growth. However, osmotic potential is closely related to water uptake capacity of soybean seed.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.88-98
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• 2017

The purpose of this study is to develop the teaching competency tool of university teachers with responsibility for college education and analyze the need for change. We have developed teaching competency to strengthen the competencies required for university professors' responsibilities and community activities in and out of universities and the contents validity was examined from 24 experts. The developed tools were used to diagnose the 83 teachers of K university in Chungcheongnam-do, and to derive basic competence, educational practice competence, and community competence through exploratory factor analysis and confirmatory factor analysis. The teaching competencies include 'Understanding of college education', 'Educational philosophy and attitude', 'Teacher attitude', 'Analysis design', 'Instruction execution', 'Guidance management', 'Evaluation feedback', 'Academic convergence', 'Sympathy learning culture', and 'Global sharing'. The results of the paired t-test and the analysis of the need for change through the analysis of Borich coefficient analysis were as follows: Understanding of university education (4th rank), analysis design (5th rank), instruction execution(2nd rank), empathy learning culture (1st rank), and global sharing (3rd rank). The competence of university teachers is not only the ability to practice teaching, but also the ability to understand university education and to empathize and share with the members of the university community. In the future, the university should actively develop and provide ongoing support programs to strengthen the capacity of professors.

• Korea Real Estate Review
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• v.24 no.1
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• pp.15-26
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• 2014

Using multivariate GARCH model, we estimate the relationship between the housing sale prices and lease prices in the Korean housing market. In the analysis of relationship between the rate of changes in sale and lease prices, the correlation coefficient of the apartment and detached house is higher than that of the townhouse. By housing type, the correlation coefficient between detached house and townhouse is higher than between apartment and detached house or apartment and townhouse. By housing size, there are no significant different results between the sales price and the rental price. The correlation coefficient between medium and small size is the highest in the apartment housing market, whereas the correlation coefficient between large and medium size is the highest in the detached housing market, resulting from the fact that people may be more interested in medium- and small-sized apartment and large- and medium-sized detached house. In the detached housing market, the correlation coefficient between large-medium size and medium-small size in the rental price is higher than that of sales price. This result implies that the process of the decision making between purchasing and leasing a house might be different.

• Economic and Environmental Geology
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• v.54 no.5
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• pp.573-580
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• 2021

This study analyzed the induced effects of the aggregate and stone sectors using the industry association table. First, the added value of the aggregate and stone sectors was summarized, and then the intermediate input structure and induced effect were analyzed. In terms of value-added structure, aggregate and stone showed a higher employee remuneration rate compared to the manufacturing industry, and a higher rate of operating surplus compared to other mining industries. The intermediate input structure summarizes the sector using aggregate and stone products as intermediate inputs and their input ratio. The proportion of the intermediate element input structure was confirmed. In addition, the main input sectors of ready-mixed concrete, the largest consumer of aggregate and stone, are also summarized. The production-inducing effect of aggregate and stone showed a higher influence coefficient than the sensitivity coefficient, confirming that they had a relatively large rear chain effect. The production inducement effect was reviewed by reconstructing the industry association table, and it was found to show a relative superiority in the influence coefficient, similar to the results derived according to the provisional classification of the Bank of Korea.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.503-514
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• 2021

Rice production with adequate level of area is important for decision making of rice supply and demand policy. It is essential to grasp rice cultivation areas in advance for estimating rice production of the year. This study was carried out to classify paddy rice cultivation in Gimje-si using sentinel-1 SAR (synthetic aperture radar) and UAV imagery in early July. Time-series Sentinel-1A and 1B images acquired from early May to early July were processed to convert into sigma naught (dB) images using SNAP (SeNtinel application platform, Version 8.0) toolbox provided by European Space Agency. Farm map and parcel map, which are spatial data of vector polygon, were used to stratify paddy field population for classifying rice paddy cultivation. To distinguish paddy rice from other crops grown in the paddy fields, we used the decision tree method using threshold levels and random forest model. Random forest model, trained by mainly rice cultivation area and rice and soybean cultivation area in UAV image area, showed the best performance as overall accuracy 89.9%, Kappa coefficient 0.774. Through this, we were able to confirm the possibility of early estimation of rice cultivation area in Gimje-si using UAV image.

• Journal of the Korean Geotechnical Society
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• v.37 no.6
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• pp.29-37
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• 2021

Since many geotechnical structures are constructed on a weathered granite layer, it is important to evaluate their characteristics. As a seismic design is the more important nowadays, the demands to estimate a shear wave velocity (V_S) based on acceptable methods are increasing. In this study, an empirical equation predicting V_S of the weathered granite layer is suggested based on the nonlinear multiple variable regression analysis whose independent variables are both SPT (Standard penetration test)-N₆₀ and chemical weathering index. It is concluded that the accuracy of the empirical equation estimating V_S of the weathered granite layer increases when it considers the chemical weathering index as an additional independent variable compared to the result of simple regression analysis using only N₆₀.

• Journal of Nutrition and Health
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• v.54 no.6
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• pp.573-583
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• 2021

Energy requirement is defined as energy expenditure in an energy equilibrium state. The doubly labeled water (DLW) method is considered the gold standard for measuring total energy expenditure (TEE). In 2002, the Institute of Medicine (IOM) of the National Academies established dietary reference intakes (DRIs) for Americans and Canadians, and the equations for estimated energy requirement (EER) were developed by using pooled data from studies that had applied the DLW method. Since 2005, these equations have been used for establishing EER in the DRI for Koreans. These equations based on age group include the physical activity (PA) coefficient determined by the PA level (PAL; sedentary, low active, active and very active) as well as body weight and height. The PAL values of Koreans calculated using the DLW method and PA diaries were determined to fall in the low active category (1.40~1.59). Therefore, the PA coefficient corresponding to 'low active' was applied to the EER equations. In recent years, with increasing number of people regularly engaging in various physical activities in Korea, EER is now separately presented for people with 'active' and 'very active' PALs. In the future, like the United States and Japan, Korea needs to expand the DLW research for developing EER predictive equations for Koreans. In addition, standardized guidelines should be prepared to accurately evaluate the PAL using the physical activity diary and the new PA classification table for Koreans.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.363-372
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• 2022

Since the recent COVID-19 Pandemic, the ransomware fandom has intensified along with the expansion of remote work. Currently, anti-virus vaccine companies are trying to respond to ransomware, but traditional file signature-based static analysis can be neutralized in the face of diversification, obfuscation, variants, or the emergence of new ransomware. Various studies are being conducted for such ransomware detection, and detection studies using signature-based static analysis and behavior-based dynamic analysis can be seen as the main research type at present. In this paper, the frequency of ".text Section" Opcode and the Native API used in practice was extracted, and the association between feature information selected using K-means Clustering algorithm, Cosine Similarity, and Pearson correlation coefficient was analyzed. In addition, Through experiments to classify and detect worms among other malware types and Cerber-type ransomware, it was verified that the selected feature information was specialized in detecting specific ransomware (Cerber). As a result of combining the finally selected feature information through the above verification and applying it to machine learning and performing hyper parameter optimization, the detection rate was up to 93.3%.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.1-12
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• 2022

Traditional methods of measuring corneal ulcers were difficult to present objective basis for diagnosis because of the subjective judgment of the medical staff through photographs taken with special equipment. In this paper, we propose a method to detect the ulcer area on a pixel basis in corneal ulcer images using a semantic segmentation model. In order to solve this problem, we performed the experiment to detect the ulcer area based on the DeepLab model which has the highest performance in semantic segmentation model. For the experiment, the training and test data were selected and the backbone network of DeepLab model which set as Xception and ResNet, respectively were evaluated and compared the performances. We used Dice similarity coefficient and IoU value as an indicator to evaluate the performances. Experimental results show that when 'crop & resized' images are added to the dataset, it segment the ulcer area with an average accuracy about 93% of Dice similarity coefficient on the DeepLab model with ResNet101 as the backbone network. This study shows that the semantic segmentation model used for object detection also has an ability to make significant results when classifying objects with irregular shapes such as corneal ulcers. Ultimately, we will perform the extension of datasets and experiment with adaptive learning methods through future studies so that they can be implemented in real medical diagnosis environment.