• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1723-1735
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• 2022

Landslides are one of the most prevalent natural disasters, threating both humans and property. Also landslides can cause damage at the national level, so effective prediction and prevention are essential. Research to produce a landslide susceptibility map with high accuracy is steadily being conducted, and various models have been applied to landslide susceptibility analysis. Pixel-based machine learning models such as frequency ratio models, logistic regression models, ensembles models, and Artificial Neural Networks have been mainly applied. Recent studies have shown that the kernel-based convolutional neural network (CNN) technique is effective and that the spatial characteristics of input data have a significant effect on the accuracy of landslide susceptibility mapping. For this reason, the purpose of this study is to analyze landslide vulnerability using a pixel-based deep neural network model and a patch-based convolutional neural network model. The research area was set up in Gangwon-do, including Inje, Gangneung, and Pyeongchang, where landslides occurred frequently and damaged. Landslide-related factors include slope, curvature, stream power index (SPI), topographic wetness index (TWI), topographic position index (TPI), timber diameter, timber age, lithology, land use, soil depth, soil parent material, lineament density, fault density, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were used. Landslide-related factors were built into a spatial database through data preprocessing, and landslide susceptibility map was predicted using deep neural network (DNN) and CNN models. The model and landslide susceptibility map were verified through average precision (AP) and root mean square errors (RMSE), and as a result of the verification, the patch-based CNN model showed 3.4% improved performance compared to the pixel-based DNN model. The results of this study can be used to predict landslides and are expected to serve as a scientific basis for establishing land use policies and landslide management policies.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.159-178
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• 2021

This study analyzed issues and trends related to ports with 86,611 news articles for the 30 years from 1991 to 2020, using BIGKinds, a big data news analysis service. The analysis was based on keyword analysis, word cloud, relationship diagram analysis offered by BIG Kinds. Analysis results of issues and trends on ports for the last 30 years are summarized as follows. First, during Phase 1 (1991-2000), individual ports such as Busan, Incheon, and Gwangyang ports tried to strengthen their own competitiveness. During Phase 2 (2001-2010), efforts were made on gaining more professional and specialized port management abilities by establishing the Busan Port Authority in 2004, the Incheon Port Authority in 2005, and the Ulsan Port Authority in 2007. During Phase 3 (2011-2020), the promotion of future-oriented, eco-friendly, and smart ports was major issues. Efforts to reduce particulate matters and pollutants produced from ports were accelerated, and an attempt to build a smart port driven by port automation and digitalization was also intensified. Lastly, in 2020, when the maritime sector was severely hit by the unexpected shock of the COVID-19 pandemic, a microscopic analysis of trends and issues in 2019 and 2020 was made to look into the impact the pandemic on the maritime industry. It was found that shipping and port industries experienced more drastic changes than ever while trying to prepare for a post-pandemic era as well as promoting future-oriented ports. This study made policy suggestions by analyzing port-related news articles and trends, and it is expected that based on the findings of this research, further studies on enhancing the competitiveness of ports and devising a sustainable development strategy will follow through a comparative analysis of port issues of different countries, thereby making further progress toward academic research on ports.

• Journal of Nutrition and Health
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• v.54 no.1
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• pp.10-22
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• 2021

Purpose: Key Foods refers to foods that have a high contribution in the nutrient intake of individuals, and exert important effects on their health. This study was undertaken to identify Korean Key Foods, using data from the 7th Korea National Health and Nutrition Examination Survey (KNHNES). Methods: The data source for the extraction of Key Foods was the 24-hour dietary survey data obtained from the 7th KNHNES (2016-2018), and 21,271 subjects were evaluated. A total of 17 nutrients were selected as the key nutrients for identifying the Key Foods, including energy, carbohydrates, protein, lipid, dietary fiber, calcium, phosphorus, iron, sodium, potassium, vitamin A, thiamin, riboflavin, niacin, vitamin C, cholesterol, and sugars. The nutrient consumption approach was applied to generate a list of potential Key Foods. Foods included in 85% of the cumulative intake contribution from one or more key nutrients, were subsequently selected as Key Foods. Results: Of the 1,728 foods consumed by survey respondents, we extracted 728 Key Foods. These Key Foods explained 94% key nutrient intakes of the subjects. Based on the contribution rate to key nutrient intake, the top 10 Key Foods identified were multigrain rice (5.32%), plain white rice (4.23%), milk (3.3%), cabbage kimchi (2.82%), grilled pork belly (1.56%), apples (1.52%), fried eggs (1.49%), cereal (1.36%), instant coffee mix (1.21%), and sweet potatoes (1.12%). These 10 foods accounted for 23.93% total key nutrient intake of the survey respondents. Conclusion: Seven hundred and twenty-eight foods were extracted and identified as the 2020 Korean Key Foods. These Key Foods can be considered the priority foods to be analyzed for establishing a national nutrient database.

• Korean Journal of Ichthyology
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• v.35 no.4
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• pp.224-235
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• 2023

South Korea is the only divided nation globally, marked by a military demarcation line establishing demilitarized and civilian control zones, ensuring national security. Consequently, these areas exhibit relatively minimal ecological disruption compared to other regions. However, the threat to safety persists due to the presence of unexploded ordnances and landmines, imposing significant constraints on ecological research. To address this, we conducted a comparative study utilizing eDNA analysis as a supplementary and alternative approach within three points of the "Road of Peace" - Inje, Yanggu, and Hwacheon courses, located within the civilian control zone. Direct surveys and indirect eDNA sampling were carried out in May, July, and September of 2022. Genetic material obtained from the samples underwent amplification, library preparation, MiSeq sequencing, and subsequent ASV generation for indirect analysis. These results were then compared with the findings of direct surveys. Our findings revealed the detection of eDNA for both observed species at the Yanggu-1 point, and for two out of four species at Yanggu-2. Hwacheon-1 displayed the detection of eDNA for one out of one observed species, whereas Hwacheon-2 yielded seven out of twelve, Hwacheon-3 showed four out of six, and all one observed species at Hwacheon-4 exhibited eDNA detection. Consequently, approximately 69% of the fish species identified through direct surveys were confirmed by indirect eDNA analysis. It is necessary to verify if certain fish species, such as the continental trout and catfish, have genetic information registered in the NCBI database. Additionally, it is believed that further marker development research utilizing different genetic sequences is essential. Given the limitations imposed by the hazardous nature of the surveyed civilian control zone, eDNA analysis proves to be a suitable supplement for fish research in the area.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.5
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• pp.757-764
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• 2016

The purpose of this study was to investigate the salt and sodium content of lunch meals served at middle schools in Gyeongsangbuk-do. Four middle schools were investigated for their salt and sodium content and salt content contributing rate per meal. Average salt content of every lunch meal was 4.41 g, and average sodium content was 1,736.02 mg. During the investigation period, the lowest sodium content was 943.19 mg while the highest was 2,827.56 mg. Samples were classified into 16 food items and investigated for salt and sodium content. Total average salinity was 1.06%. Kimchi was the saltiest, followed by fresh-vegetables, boiled-vegetables, stir-fried foods, pan-fried foods, and hard-boiled foods. Total average salt content was 0.74 g, and most salty dishes were single dish rice noodles, followed by stews, steamed foods, broths, soups, kimchies, stir-fried foods, roasted foods, and hard-boiled foods. Samples were classified into seven menu groups, including cooked rice, single dish rice noodles, soup stew, main dish, side dish, kimchi, and desserts. Contributing rate of total average salt content was high in single dish rice noodles (40.56%), soup stew (23.23%), kimchies (20.30%), and main dish (18.13%). These results can be useful for establishing a database for sodium contents of meals in middle schools. 'SamSam foodservice' should be initiated in school foodservice to reduce sodium intake.

• Clinical and Experimental Pediatrics
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• v.49 no.7
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• pp.757-762
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• 2006

Purpose : Pneumonia is one of the most common infections in children who visit emergency departments(ED), but standard clinical guidelines for children with pneumonia in Korea have not been studied. This study was performed to collect and evaluate a data-base of children with pneumonia for establishing clinical guidelines in ED. Methods : This study reviewed 304 children who were diagnosed and treated for pneumonia in the ED at one tertiary hospital between January 2003 and December 2003 retrospectively by reviewing the charts and analyzing the clinical characteristics, laboratory findings, and radiologic findings between an admission group and a discharge group. Results : The 2 year-5 year age group was the top of age distribution and the peak incidence of monthly distribution was December. Two hundred forty seven(81.3 percent) children were hospitalized(admission group), and the mean length of hospitalization was $7.24{\pm}3.24$ days. The most common indications of admission were fever, tachypnea and an age of less than three months. There was statistical differences in the outpatient department follow-up between the two groups(85.8 percent in admission group vs 35.1 percent in discharge group). Conclusion : More prospective studies are needed to establish clinical standard guidelines for children with pneumonia. This will be helpful in ED management and will aid the prevention of pneumonia.

• Korean Journal of Food Science and Technology
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• v.32 no.5
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• pp.1002-1008
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• 2000

The purpose of this study was to provide the fundamental information for establishing the database needed to estimate total intakes of trans fatty acids in Korea. The amounts of trans fatty acids contained in 164 samples including 25 samples of margarines, 21 samples of shortenings, 19 samples of vegetable salad and cooking oils, 53 samples of confectionery products, 18 samples of bakery products, 19 samples of dairy products, and 9 samples of animal fats and meats were analyzed by capillary gas liquid chromatography. The average amounts of trans fatty acids in those foods were calculated and expressed as gram per one serving. Then, the average daily intakes of trans fatty acids per capita were estimated using the analyzed amounts of trans fatty acids and the amount of yearly production for those foods. The amounts of trans fatty acids per 100 g of lipids were $2.11{\sim}33.83%$ (14.66% on average) in margarines, $1.47{\sim}44.48%$ (14.21% on average) in shortenings, $0.18{\sim}3.82$ (1.54% on average) in vegetable salad and cooking oils, $0{\sim}45.81%$ (10.92% on average) in confectionery products, $0{\sim}18.32%$ (7.87% on average) in bakery products, $0.90{\sim}4.54%$ (2.27% on average) in dairy products, and $0.61{\sim}6.07%$ (2.24% on average) in animal fats and meats. Major isomers of trans fatty acid in the sample foods were $C_{18:1}$ and $C_{18:2}$. As a result, the korean average daily intake of trans fatty acids in korea was estimated to be 2.3 g per capita. The amounts of trans fatty acids consumed from each selected food were as follows: 0.35 g from margarines, 0.57 g from shortenings, 0.11 g from vegetable salad and cooking oils, 0.65 g from confectionery products, 0.07 g from bakery products, 0.14 g from dairy products and 0.21 g from animal fats and meats.

• Journal of Technology Innovation
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• v.17 no.1
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• pp.1-48
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• 2009

Recently we have found some symptoms that R&D fiscal incentives might not work well what it has intended through the analysis of current statistics of firm's R&D data. Firstly, we found that the growth rate of R&D investment in private sector during the recent decade has been slowdown. The average of growth rate (real value) of R&D investment is 7.1% from 1998 to 2005, while it was 13.9% from 1980 to 1997. Secondly, the relative share of R&D investment of SME has been decreased to 21%('05) from 29%('01), even though the tax credit for SME has been more beneficial than large size firm, Thirdly, The R&D expenditure of large size firms (besides 3 leading firms) has not been increased since late of 1990s. We need to find some evidence whether fiscal incentives are effective in increasing firm's R&D investment. To analyse econometric model we use firm level unbalanced panel data for 4 years (from 2002 to 2005) derived from MOST database compiled from the annual survey, "Report on the Survey of Research and Development in Science and Technology". Also we use fixed effect model (Hausman test results accept fixed effect model with 1% of significant level) and estimate the model for all firms, large firms and SME respectively. We have following results from the analysis of econometric model. For large firm: i ) R&D investment responds elastically (1.20) to sales volume. ii) government R&D subsidy induces R&D investment (0.03) not so effectively. iii) Tax price elasticity is almost unity (-0.99). iv) For large firm tax incentive is more effective than R&D subsidy For SME: i ) Sales volume increase R&D investment of SME (0.043) not so effectively. ii ) government R&D subsidy is crowding out R&D investment of SME not seriously (-0.0079) iii) Tax price elasticity is very inelastic (-0.054) To compare with other studies, Koga(2003) has a similar result of tax price elasticity for Japanese firm (-1.0036), Hall((l992) has a unit tax price elasticity, Bloom et al. (2002) has $-0.354{\sim}-0.124$ in the short run. From the results of our analysis we recommend that government R&D subsidy has to focus on such an areas like basic research and public sector (defense, energy, health etc.) not overlapped private R&D sector. For SME government has to focus on establishing R&D infrastructure. To promote tax incentive policy, we need to strengthen the tax incentive scheme for large size firm's R&D investment. We recommend tax credit for large size film be extended to total volume of R&D investment.