• Korean Journal of Environment and Ecology
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• v.36 no.1
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• pp.72-86
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• 2022

This study was conducted to identify structural characteristics of the evergreen broad-leaved forests distributed in Hak-dong, Geojae island. For a survey, 52 sites were set up in areas with changes in the vegetation community or location environment where Cinnamomum yabunikkei, Neolitsea sericea, and Machilus thunbergii dominated or appeared in the canopy, sub-canopy, or shrub layer. The community classification with TWINSPAN identified the following communities: N. sericea-C. yabunikkei, C. yabunikkei-Camellia japonica, Ca. japonica, Quercus variabilis-Ca. japonica, Pinus thunbergii-Ca. japonica, Castanopsis sieboldii, P. thunbergii, and Platycarya strobilacea-Mallotus japonicus. Considering the result of the study that succession series of warm-temperate forest reflecting the latent natural vegetation is the transition of conifers and deciduous broad-leaved forest to evergreen broad-leaved forest, the communities predominated by the communities predominated by the communities predominated by P. thunbergii, Q. variabilis, and Pl. strobilacea are likely to transform into the evergreen forest predominated by N. sericea and C. yabunikkei. The sites where C. yabunikkei, N. sericea, and Castanopsis sieboldii are dominant in the canopy and sub-canopy layers are likely to maintain the status quo if there is no artificial disturbance. The relationship between the impact of the environmental factors and the vegetation distribution showed silt among the physical properties of the soil directly or indirectly affected it, which was judged to be due to the fact that it was located on a steep slope. The soil acidity (pH) was 5-5.84, electrical conductivity 0.047-0.139 dS/m, and organic matter content was 3.32-12.06%. Although there were differences by the colony, they were generally low.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.153-161
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• 2022

The current National Curriculum clearly states that students should utilize digital information as a core competency. With ICT-based non-face-to-face learning has become commonplace, that ability has become as basic and essential as the competency to read and write in traditional education. Therefore, this work analyzed the characteristics of ICT utilization learning in the social studies curriculum of elementary school to cultivate basic abilities and skills for learners' future, and these discussed from the perspective of digital literacy. The results are as follows. First, the ICT utilization learning could be found in most units for the subject, but most of them were just the searching material and the watching video. Second, when approached from the perspective of digital literacy, the main activities were the 'access' in the lowest level. Third, the higher levels such as 'understand' and 'create' were few activities. This result gave the task of reflecting on the ICT education so far. Rather than just focusing on increasing the frequency of the ICT using, it is necessary to improve the quality of students' activities in ICT learning for progressing digital literacy. For the students' skills of utilizing digital information could be developed differently depending on the type of ICT learning activity.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.1-10
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• 2022

The purpose of this study is to establish a foundation for IoT-related industries to secure financial soundness and to dominate the global market after COVID-19. Through this study, the quantitative management status of IoT-related companies was checked. It also was attempted to preemptively prepare for corporate insolvency by examining the relationship between financial ratios in accordance with stock price fluctuations and designation of management items. This study selected 502 companies that were listed on the KOSPI and KOSDAQ in the stock market from 2019 to 2020. For statistical analysis, multiple regression analysis, difference analysis and logistic regression analysis were performed. The research results are as follows. First, it was found that the impact of IoT company accounting information on stock prices differs depending on before and after COVID-19. Second, it was found that there is a difference in the closing stock prices of IoT companies before and after COVID-19. Third, it was found that financial ratios according to stock price fluctuations exist differently after COVID-19. Fourth, it was found that the financial ratios according to the designation of management items after COVID-19 exist differently. Through these studies, some suggestions were made to secure the financial soundness of IoT companies and to lay the groundwork for leaping into the global market after COVID-19. Through the results of this study, it is expected that it will lead the growth of IoT companies and contribute to growth as a decacorn company of the future that can guarantee financial soundness in the changing financial market.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.261-268
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• 2022

This study tried to understand the meaning of resource attraction, entertainment experience, love mark, and attachment of tourist destinations. A theoretical study was conducted on each research concept to achieve the proposed research purpose. Based on this, an empirical study was conducted after deriving a questionnaire based on this, and a non-face-to-face survey was conducted nationwide using population-proportional sampling. The empirical study was confirmed through the statistical programs SPSS25.0 and AMOS25.0. The resource attractiveness of the tourist destination had a positive (+) relationship with the influence on the tourists' experience. The relationship between the experience and the love mark had a positive (+) relationship. A positive (+) relationship was also formed in the relationship between experience and attachment. However, the relationship between love mark and attachment did not form a significant relationship.Because it reflects regional characteristics, it is a useful material for local culture and history, so protection, preservation, and active program development are required. is needed.

• Journal of Life Science
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• v.32 no.9
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• pp.729-733
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• 2022

Aggregation of normally soluble proteins can cause disease-related problems. Tryptophan synthase α-subunit (αTS) in E. coli adopts one of most popular structural scaffolds, the TIM barrel fold. Previous mutagenesis of the αTS gene resulted in many aggregation-prone mutant proteins. Here, Y173F (Tyr at residue 173 to Phe) substitution, which imparts increased stability, was tested for its ability to suppress aggregation of aggregation-prone mutant proteins (Y4C, S33L, P28L, P28S, G44S, D46N, P96L, and P96S). Aggregation was suppressed in all eight severe aggregate-forming mutants (all differing in their mutation positions), by the Y173F replacement. P28L αTS, which was available in pure form, was further analyzed and showed reduced secondary structure content, lower stability, and a looser structure with more exposed hydrophobic surface compared to the wild type protein. A double mutant P28L/Y173F protein showed almost no indication of these changes compared to the wild type protein. We hypothesized that Tyr at position 173 in αTS is positioned at the hydrophobic core and may serve to suppress the aggregation of this protein caused by other residues. Important residue (s) could be working widely in the prevention/suppression of protein aggregation.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.173-179
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• 2022

This study was conducted to provide basic data for the development of oral health education programs by examining oral health knowledge and oral health behaviors, and by identifying factors affecting oral health knowledge and scaling experience of Chinese domestic students. From March to May, a self-reported questionnaire was administered to 194 in the G area. The data were analyzed frequency analysis and independent t-test, multiple regression analysis, logistic regression analysis by using SPSS/WIN 26.0 program. The overall average of oral health knowledge was 13.83 out of 24, and knowledge of periodontal disease and scaling was the highest at 3.75, and knowledge of oral hygiene products was the lowest at 1.38. Oral health knowledge was significantly higher in those who had scaling experience for the past year, brushed teeth for more than 3 minutes at a time, used oral hygiene products, and had oral health education experience. As a result of multiple regression analysis, oral health education experience was the most important factor on oral health knowledge. As a result of logistic regression analysis, oral health knowledge was the most influential factor on scaling experience. It is necessary to expand education on the importance of oral care and actively introduce oral health management program for Chinese domestic students.

• Journal of the Korean Society of Radiology
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• v.16 no.1
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• pp.15-23
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• 2022

3D printing technology is being used in various fields such as medicine and biotechnology, and materials containing metal powder are being commercialized through recent material development. Therefore, this study intends to analyze the photon spectrum during added filtration using 3D printing material during diagnostic X-ray examination through simulation. Among the Monte Carlo techniques, MCNPX (ver. 2.5.0) was used. First, the appropriateness of the photon spectrum generated in the simulation was evaluated through SRS-78 and SpekCalc, which are X-ray spectrum generation programs in the diagnostic field. Second, photon spectrum the same thickness of Al and Cu filters were obtained for characterization of 3D printing materials containing metal powder. In addition, the total photon fluence and average energy according to changes in tube voltage were compared and analyzed. As a result, it was analyzed that PLA-Al required about 1.2 ~ 1.4 times the thickness of the existing Al filter, and PLA-Cu required about 1.4 ~ 1.7 times the thickness of the Cu filter to show the same degree of filtration. Based on this study in the future, it is judged that it can be utilized as basic data for manufacturing 3D printing additional filters in medical fields.

• Journal of the Korean Society of Radiology
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• v.16 no.1
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• pp.45-51
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• 2022

This study compared DLP values along with phantom entrance surface doses and the image quality of chest CT scans made using a Care Dose 4D+Care kV System, scans that are made using only the Care Dose 4D function, and scans that are made with changes made by applying 80 kVp, 100 kVp, 120 kVp, and 140 kVp to the Care Dose 4D and tube voltage to search for methods to maintain the highest image quality with minimal patient doses. It was shown that DLP values decreased 6.727% when scans were taken with Chest Care Dose 4D + Care kV semi 100 and 6.481% when scans were taken with Chest Care Dose 4D + Care kV. With Chest Non as a standard, skin surface doses decreased 16.519% when scans were taken with Chest Care Dose 4D + Care kV semi 100 and 15.705% when scans were taken with Chest Care Dose 4D + Care kV. With comparisons of image quality, when comparisons were made with Chest Non, comparisons made of SNR values and CNR values in all scanning conditions including Care Dose 4D + Care kV showed that there were no significant differences at P>0.05. Imaging using Chest Care Dose 4D + Care kV in chest CT showed that exposure doses decreased similarly to result values gained from the best conditions through manual adjustments of kV and mAS, and there were no significant differences in image SNR and CNR. If the Chest Care Dose 4D + Care kV function is used, image quality is maintained and patient exposure to radiation can be reduced.

• Journal of the Korea Computer Graphics Society
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• v.28 no.2
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• pp.1-9
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• 2022

In this paper, we propose a vector-based augmentation technique that can generate data required for crack detection and a ConvNet(Convolutional Neural Network) technique that can learn it. Detecting cracks quickly and accurately is an important technology to prevent building collapse and fall accidents in advance. In order to solve this problem with artificial intelligence, it is essential to obtain a large amount of data, but it is difficult to obtain a large amount of crack data because the situation for obtaining an actual crack image is mostly dangerous. This problem of database construction can be alleviated with elastic distortion, which increases the amount of data by applying deformation to a specific artificial part. In this paper, the improved crack pattern results are modeled using ConvNet. Rather than elastic distortion, our method can obtain results similar to the actual crack pattern. By designing the crack data augmentation based on a vector, rather than the pixel unit used in general data augmentation, excellent results can be obtained in terms of the amount of crack change. As a result, in this paper, even though a small number of crack data were used as input, a crack database can be efficiently constructed by generating various crack directions and patterns.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.995-1003
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• 2021

Coastal compound disasters are becoming more extreme and more frequent due to climate change. Thus, appropriate and systematic disaster management is necessary to reduce potential losses. One solution to this is the creation of a coastal compound disaster management area. However, Korea's "Countermeasures against Natural Disasters Act" needs to be reformed to introduce this coastal compound disaster management area. In this study, we tried to find the appropriate direction for reforming the Act in order to establish a basis for implementing regulations on the Coastal Compound Disaster Management Area with regard to three aspects: science-based management, cooperative management, and adaptive management. The study was on the premise that the system would be operated based on the provisions of the "Countermeasures against Natural Disasters Act". Consequently for effective science-based management, it is necessary to introduce a disaster risk assessment framework. Based on the results obtained through the implementation of this framework, the management areas should be set with differential measures. Next, cooperation among the various ministries is essential to successfully respond to disasters. This study recommends the establishment of an advisory council composed of the related government departments as a pragmatic solution. Finally, in terms of adaptive management, we found that parallelly utilizing non-structural measures could compensate for the limitations of structural measures.