• Economic and Environmental Geology
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• v.31 no.3
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• pp.235-247
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• 1998

A new technique of simultaneons inversion for 3-D seismic velocity structure by using direct, reflected, and refracted waves is applied to the center of the Korean Peninsula including Pyongnam Basin, Kyonggi Massif, Okchon Fold Zone, Taebaeksan Fold Zone, Ryongnam Massif and Kyongsang Basin. Pg, Sg, PmP, SmS, Pn, and Sn arrival times of 32 events with 404 seismic rays are inverted for locations and crustal structure. 5 ($1^{\circ}$ along the latitude)${\times}6$ ($0.5^{\circ}$ along the longitude) ${\times}8$ block (4 km each layer) model was inverted. 3-D seismic crustal velocity tomography including eight sections from the surface to the Moho, eight profiles along latitude and longitude and the Moho depth distribution was determined. The results are as follows: (1) the average velocity and thickness of sediment are 5.15 km/sec and 3-4 km, and the velocity of basement is 6.12 km/sec. (2) the velocities fluctuate strongly in the upper crust, and the velocity distribution of the lower crust under Conrad appears basically horizontal. (3) the average depth of Moho is 29.8 km and velocity is 7.97 km/sec. (4) from the sedimentary depth and velocity, basement thickness and velocity, form of the upper crust, the Moho depth and form of the remarkable crustal velocity differences among Pyongnam Basin, Kyonggi Massif, Okchon Zone, Ryongnam Massif and Kyongsang Basin can be found. (5) The different crustal features of ocean and continent crust are obvious. (6) Some deep index of the Chugaryong Rift Zone can be located from the cross section profiles. (7) We note that there are big anisotropy bodies near north of Seoul and Hongsung in the upper crust, implying that they may be related to the Chugaryong Rift Zone and deep fault systems.

• Korean Journal of Plant Tissue Culture
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• v.25 no.3
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• pp.165-169
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• 1998

Anthers of three cross combinations of hot-pepper(Capsicum annuum L.) were cultured on Dumas De Vaulx medium supplemented with some growth regulators. The embryo production efficiency and the diversity for agronomic traits in $A_2$ lines were investigated. The embryo production frequencies of hybrid combinations were ranged from 16.4% to 43.4%, the highest embryo induction combination was DGSH $\times$ C-NH with 43.4% embryogenic efficiency. Among total 275 $A_2$ lines, phenotypic variants were found in six lines, 2.1% variant frequency. The diversity of $A_2$ lines derived from anther culture was different according to the cross combinations. Fruit color was within parental range, no transgressive variation was observed. However leaf color showed transgressive variation. In fruit length, fruit width and fruit weight, one C-HC $\times$ DGSH and DGSH $\times$ C-NH showed great diversity compared with doner parents while Cheokjo 1 $\times$ C-NH crossed with Cheokjo 1 with big fruit shape showed small diversity. Stem length to 1st branch was relatively similer to or longer than donor parents. Stem thick exhibited remarkable diversity. Node number to 1st branch distributed alomost within the range of donor parents in C-HC $\times$ DGSH combination, however great transgressive variations were observed in DGSH $\times$ C-NH and Cheokjo 1 $\times$ C-NH combinations.

• Korean Journal of Plant Tissue Culture
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• v.25 no.4
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• pp.251-256
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• 1998

The effect of several factors on efficiency of anther culture of broccoli was studied. The medium supplemented with 14% sucrose, 125mg/L of silver nitrate and 0.1mg/L of each of NAA and 2,4-D was best in embryogenesis in all varieties tested. The effect of auxin was affected by silver nitrate, that is, it lowered embryogenesis when the concentration of NAA and 2,4-D was low, but it enhanced when their concentrations were high. Benzyl aminopurine increased embryogenesis in some varieties, but decreased in others. Although microspore embryogenesis was observed in anthers of which heigest was 1 to 0.6 - 1.0 of petal heigest in the bud, which corresponds to the early uninucleate to early binucleate stage of the microspores, it was much better when the ratio of heigest was 1 : 0.8. More embryos ware inducted from culture in March than in February in general. Because there was a big yearly variation, it was assumed that microspore embryogenesis was influenced greatly by the culture condition and the physiological condition of donor plants.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.109-126
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• 2018

With massive and dense production, the livestock industry is rapidly moving into a large-scale, capital-intensive industry especially in swine, poultry, and ducks. However, livestock epidemics can pose a serious threat to the livestock industry and the lives of the people. The government has established and operates the National Animal Protection and Prevention System (KAHIS) since 2013 in order to control the threat, in accordance with the five stages. The digitalized data and information are excellent in ease of management, but it is also pointed out that it is difficult to take countermeasures through linkage with the data in an emergency situation. Recently, the technology of the fourth industrial revolution such as Internet of Things (IoT), Big Data, Artificial intelligence (AI) has been rapidly implemented to the livestock industry, which makes smart livestock disease control system possible. Therefore, this study investigated the domestic and overseas cases which apply 4th Industrial Revolution technology in the industry, and derived 13 possible candidate tasks in the near future. In order to ascertain the priority of policy formulation, we surveyed the expert groups and examined the priority of each of the five stages of the prevention and the priority of each stage. The results of this study are expected to contribute to the establishment of policies for the advancement of smart livestock disease control research and livestock protection.

• Industry Promotion Research
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• v.4 no.2
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• pp.9-18
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• 2019

This study investigated the relationship between ICT environment and business performance. In the case of Korea's major industries, large corporations have already established and operate a considerable level of smart factories, leading the global market. However, SMEs, which account for 95% of the total companies, are not able to build smart factories themselves. Smart factory construction The total number of government-supported enterprises is 4.891 companies (3,984 companies, 907 companies in construction) 2.9% of factories and 97.1% (166,344 companies) There is a big problem to be improved. The result of this study is that the first research objective of this study, which suggests the theoretical system that the will of the manager is most important for the successful establishment of the smart factory, which is part of the corporate innovation to meet the rapidly changing environment. Second, it can be seen that financing for building a smart factory is a key factor in building a smart factory, as well as funding itself. Third, it was found that besides its own technology, technology support for government and external technology consulting support are very important for smart construction. Fourth, organizational participation of internal organizers showed that cooperative and positive positive participation is also a factor of success. As a follow-up study, we analyzed the cause of the company's operation, analyzed the cause of the problem with the 4M1E technique, developed the countermeasures, and compared it before and after the improvement, standardized the improvement and needed further study. It is meaningful that the study provided basic data for building a smart factory through the analysis of the relationship between the ICT environment and business performance of the company.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.15-29
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• 2021

Many countries and companies are pursuing and developing Artificial intelligence as it is the core technology of the 4th industrial revolution. Global IT companies such as Apple, Microsoft, Amazon, Google and Samsung have all released their own AI assistant hardware products, hoping to increase customer loyalty and capture market share. Competition within the industry for AI agent is intense. AI assistant products that command the biggest market shares and customer loyalty have a higher chance of becoming the industry standard. This study analyzed the current status of major overseas and domestic IT companies in the field of artificial intelligence, and suggested future strategic directions for voice UI technology development and user satisfaction. In terms of B2B technology, it is recommended that IT companies use cloud computing to store big data, innovative artificial intelligence technologies and natural language technologies. Offering voice recognition technologies on the cloud enables smaller companies to take advantage of such technologies at considerably less expense. Companies also consider using GPT-3(Generative Pre-trained Transformer 3) an open source artificial intelligence language processing software that can generate very natural human-like interactions and high levels of user satisfaction. There is a need to increase usefulness and usability to enhance user satisfaction. This study has practical and theoretical implications for industry and academia.

• Korea Science and Art Forum
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• v.19
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• pp.243-257
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• 2015

The Cultural Heritage Administration has selected Seoul Fortress Wall as the representative heritage of Korea to be applied for being registered as UNESCO World Heritage and announced the plan to restore and organize it, which has increased the interest to the Seoul Fortress Wall, the Historical Site No. 10. The great work to make the heritage value of Walls, 4 Big Gates and 4 Small Gates composing the Seoul Fortress wall with the length of 18.627 km to be recognized worldwide has limits if it is focused only on the physical restoration. It is because the Seoul Fortress Wall represents the long historical and cultural value as the space of life which connects closely the capital city and its vicinity. We need the plan to discover and utilize historical and cultural contents of Seoul Fortress Wall and its vicinity. Especially, Gwangheemun, which is one of the four Small Gates of Seoul Fortress Wall, is a precious cultural heritage which represents the transition of fortification technology of Chosun period as the space representing ordinary people. However, now Gwangheemun and its vicinity does not stand out the charm because of passive accessibility, landscape falling behind and absence of program. This made the lack of domestic and overseas tourists and the convenient space and various contents. This reality is because the value of space has been considered simply as a cultural heritage without considering the traditional, historical and cultural specificity. Therefore, this study is aimed to find the meaning and value of Gwangheemun by discovering its own latent intangible cultural, historical and artistic resource, and to find the way to connect with Gwangheemun, the existing tangible traditional architectural space and the way of vitalizing Gwangheemun as a new space.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.33-54
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• 2021

With the fourth industrial revolution and the arrival of the New Normal era due to Corona, the importance of Non-contact technologies such as artificial intelligence and big data research has been increasing. Convergent research is being conducted in earnest to keep up with these research trends, but not many studies have been conducted in the area of nuclear research using artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. This study was conducted to confirm the applicability of data science analysis techniques to the field of nuclear research. Furthermore, the study of identifying trends in nuclear spent fuel recognition is critical in terms of being able to determine directions to nuclear industry policies and respond in advance to changes in industrial policies. For those reasons, this study conducted a media trend analysis of pyroprocessing, a spent nuclear fuel treatment technology. We objectively analyze changes in media perception of spent nuclear fuel dry treatment techniques by applying text mining analysis techniques. Text data specializing in Naver's web news articles, including the keywords "Pyroprocessing" and "Sodium Cooled Reactor," were collected through Python code to identify changes in perception over time. The analysis period was set from 2007 to 2020, when the first article was published, and detailed and multi-layered analysis of text data was carried out through analysis methods such as word cloud writing based on frequency analysis, TF-IDF and degree centrality calculation. Analysis of the frequency of the keyword showed that there was a change in media perception of spent nuclear fuel dry treatment technology in the mid-2010s, which was influenced by the Gyeongju earthquake in 2016 and the implementation of the new government's energy conversion policy in 2017. Therefore, trend analysis was conducted based on the corresponding time period, and word frequency analysis, TF-IDF, degree centrality values, and semantic network graphs were derived. Studies show that before the 2010s, media perception of spent nuclear fuel dry treatment technology was diplomatic and positive. However, over time, the frequency of keywords such as "safety", "reexamination", "disposal", and "disassembly" has increased, indicating that the sustainability of spent nuclear fuel dry treatment technology is being seriously considered. It was confirmed that social awareness also changed as spent nuclear fuel dry treatment technology, which was recognized as a political and diplomatic technology, became ambiguous due to changes in domestic policy. This means that domestic policy changes such as nuclear power policy have a greater impact on media perceptions than issues of "spent nuclear fuel processing technology" itself. This seems to be because nuclear policy is a socially more discussed and public-friendly topic than spent nuclear fuel. Therefore, in order to improve social awareness of spent nuclear fuel processing technology, it would be necessary to provide sufficient information about this, and linking it to nuclear policy issues would also be a good idea. In addition, the study highlighted the importance of social science research in nuclear power. It is necessary to apply the social sciences sector widely to the nuclear engineering sector, and considering national policy changes, we could confirm that the nuclear industry would be sustainable. However, this study has limitations that it has applied big data analysis methods only to detailed research areas such as "Pyroprocessing," a spent nuclear fuel dry processing technology. Furthermore, there was no clear basis for the cause of the change in social perception, and only news articles were analyzed to determine social perception. Considering future comments, it is expected that more reliable results will be produced and efficiently used in the field of nuclear policy research if a media trend analysis study on nuclear power is conducted. Recently, the development of uncontact-related technologies such as artificial intelligence and big data research is accelerating in the wake of the recent arrival of the New Normal era caused by corona. Convergence research is being conducted in earnest in various research fields to follow these research trends, but not many studies have been conducted in the nuclear field with artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. The academic significance of this study is that it was possible to confirm the applicability of data science analysis technology in the field of nuclear research. Furthermore, due to the impact of current government energy policies such as nuclear power plant reductions, re-evaluation of spent fuel treatment technology research is undertaken, and key keyword analysis in the field can contribute to future research orientation. It is important to consider the views of others outside, not just the safety technology and engineering integrity of nuclear power, and further reconsider whether it is appropriate to discuss nuclear engineering technology internally. In addition, if multidisciplinary research on nuclear power is carried out, reasonable alternatives can be prepared to maintain the nuclear industry.

• Korean Journal of Health Education and Promotion
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• v.14 no.1
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• pp.23-45
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• 1997

This study was conducted from March 1, 1996 through June 30, in order to provide basic data for devising a policy for school health especially students health promotion and for developing of an education program. Middle school students were 1000, high school students were 2000 and a total of 3000 students were selected randomly among the boys/girls/middle/high schools which are in Seoul, Pusan, Taegu, Pohang, Suwon, Kyungsan, Milyang and a town or subcountry. The summary and conclusion are as follows. 1. In general characteristics of respondents, 51.8% were girl students, 33.7% were middle school students, 66.3% were high school students. 37.2% were living in a medium and small city, 89.1% were middle classes, 43.6% were having no religion, 27.3% were buddhists. 2. As a result of analyzing, exercise, nutrition, personal behavior, knowledge of health education and behavior level which are the factors promotion, exercise level were 3.61 of the perfect 9(40.1/100), nutrition level were 3.71(41.1/100), personal hygiene were 6.89(76.6/100), health education level were 5.1(58.9/100), all of the them are low level. 3. Judging from characteristics, in case of exercise behavior level, It was far higher in boy students than in girl students, in middle school students than in high school students. It was respectively higher than other groups in the second graders of middle school, in the first graders of high school, in the residents who live in a big city, in the high classes in the buddhists. 4. The students level against disease was average 9.11 of the perfect score 14(65.1/100). The level of disease consciousness was high in girl students by characteristics, in the second graders of high school by grades, in high school students than middle school students. 5. In health status, 55.4% were healthy, 7.9% were unhealthy. It was respectively higher than the other groups in boy students, in middle school students, in the residents who live in a big city, in high classes of life level, in buddihists, in higher education level of parents. 6. Judging from the factors of health status and health promotion and the degree of significance, there's a significant differences between exercise and dietary life as P〈0.001, in personal hygiene as P〈0.05, in health education an P〈0.01. 7. Knowledge on disease, health promotion behavior level were average 19.42 ± 4.01 of the perfect score 50(38.8/100) this score was too low. As for characteristics, the level between variables was statistically significant in the higher life level, in the higher parents education level, in the happier family. 8. Judging from health status, knowledge on disease, health behavior level, knowledge and health promotion behavior level significantly in the better health status, in the better school record. 9. As a result of the multiplex regression analyzing the factors which were under influence on health status, the variables like exercise, school record level, the degree of family happiness, nutrition, grades, the members of family influenced much and its persuasive power was 10.2%. The factors which are under the influence on the health promotion were exercise, satisfied degree of education, health status, the degree of family happiness, knowledge on disease, the usage of physical training, sex, the number of the family members, mother's education level. It’s explained power was 21.3%. promotion were high We should develop a text book and an education program to study exercise, nutrition(dietary life), personal hygiene, knowledge on disease and health systematically. As far as health education irrespective city and locality without considering the entrance exam for high school and university we should execute it continuously. To do this, it’s important to cultivate and secure qualified men of ability who can teach things related health promotion and the related subject, that is, health or health promotion subject should be established in middle and high school curriculum necessarily.

• Environmental and Resource Economics Review
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• v.14 no.1
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• pp.167-199
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• 2005

The following policy implications can be drawn from this study: 1) The Air Pollution Emission Amount Report published by the Ministry of Environment since 1991 classifies industries into 4 sectors, i. e., heating, manufacturing, transportation and power generation. Currently, the usability of report is very low and extra efforts should be given to refine the current statistics and to improve the industrial classification. 2) Big pollution industries are as follows - s7, s17 and s20. The current air pollution control policy for these sectors compared to other sectors are found to be inefficient. This finding should be noted in the implementation of future air pollution policy. 3) s10 and s17 are found to be a big polluting industrial sector and its pollution reduction effect is also significant. 4) The effect of emission coefficient (${\Delta}f$) has the biggest impact on the reduction of emission amount change and the effect of economic growth coefficient (${\Delta}y$) has the biggest impact on the increase of emission volume. The effect of production technology factor (${\Delta}D$) and the effect of the change of the final demand structure (${\Delta}u$) are insignificant in terms of the change of emission volume. 5) Further studies on emission estimation techniques on each industry sector and the economic analysis are required to promote effective enforcement of the total volume control system of air pollutants, the differential management of pollution causing industrial sectors and the integration of environment and economy. 6) Korea's economic growth in 1990 is not pollution-driven in terms of the Barry Commoner's hypothesis, even though the overall industrial structure and the demand structure are not environmentally friendly. It indicates that environmental policies for the improvement of air quality depend mainly on the government initiatives and systematic national level consideration of industrial structures and the development of green technologies are not fully incorporated.