• The Korean Journal of Air & Space Law and Policy
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• v.24 no.1
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• pp.91-118
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• 2009

In the Republic of Korea, Regional Airlines from Jeju Air and Hansung Airlines have recently entered the domestic market to compete with the existing Legacy Airlines. In addition many of newly established regional low cost carriers like Air Busan, JeanAir, Easter Airline, are preparing to enter the jungle market. These circumstantial changes have come about as transportation competitiveness are getting weak in the market due to simultaneous expansion of surface modes such as a new opening of high-speed rail and extension of highways. The jumbled market entry by regional low cost carriers makes an enormous influence not only in managing transport network of existing carriers but also for the domestic policy of aviation authorities. It is too early to judge whether they would succeed or not. It is necessary to analyze the network operation of these regional carriers launching domestic routes and preparing to launch short distance international routes under the rapid changing market circumstances such as introduction of KTX or decrease in domestic routes by Legacy Airlines. Many regional airlines are to launch the routes connecting Korea-China-Japan, if they could ensure long-haul international routes successfully, it would follow that the difference between Legacy Airlines and Regional Airlines would decrease more and more, which would result in appearance of the $3^{rd}$or $4^{th}$Legacy Airlines The purpose of this study is to analyze the introduction of low cost carriers by regions and economic regional carrier network for non-scheduled air transportation market by taking a look at the regional airlines transportation network in the early stage of the domestic air transport market. For this purpose, cost and profit structure and management effect of transportation cost will be analyzed by comparing the presently operated routes of regional airlines with those of Legacy Airlines. And also demonstrative analysis demanded by the actual market will be achieved through surveys from experts, the actual airlines and travel agencies to build up transportation network.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.11
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• pp.509-520
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• 2015

College Scholastic Ability Test(CSAT) is a primary test to evaluate the study achievement of high-school students and used by most universities for admission decision in South Korea. Because its level of difficulty is a significant issue to both students and universities, the government makes a huge effort to have a consistent difficulty level every year. However, the actual levels of difficulty have significantly fluctuated, which causes many problems with university admission. In this paper, we build two types of data-driven prediction models to predict correct answer rate and to identify significant factors for CSAT English test through accumulated test data of CSAT, unlike traditional methods depending on experts' judgments. Initially, we derive candidate question-specific factors that can influence the correct answer rate, such as the position, EBS-relation, readability, from the annual CSAT practices and CSAT for 10 years. In addition, we drive context-specific factors by employing topic modeling which identify the underlying topics over the text. Then, the correct answer rate is predicted by multiple linear regression and level of difficulty is predicted by classification tree. The experimental results show that 90% of accuracy can be achieved by the level of difficulty (difficult/easy) classification model, whereas the error rate for correct answer rate is below 16%. Points and problem category are found to be critical to predict the correct answer rate. In addition, the correct answer rate is also influenced by some of the topics discovered by topic modeling. Based on our study, it will be possible to predict the range of expected correct answer rate for both question-level and entire test-level, which will help CSAT examiners to control the level of difficulties.

• Journal of the Korean Society of Food Science and Nutrition
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• v.41 no.12
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• pp.1758-1763
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• 2012

This study was conducted to compare fragrance and volatile chemicals of essential oils in Gom-chewi (Ligularia fischeri) and Handaeri Gom-chewi (Ligularia fischeri var. spicifoprmis). Essential oils were extracted by steam distillation of leaves of Gom-chewi (GC) and Handaeri Gom-chewi (HGC), after which samples were collected by solid-phase micro extraction and the compositions of the essential oils were analyzed by gas chromatography-mass spectrometry (GC-MS). The yields of the essential oils in GC and HGC were 0.12% and 0.04%, respectively, and the threshold levels of the essential oils in GC and HGC were 0.01% and 0.1%, respectively. There were 19 constituents of the essential oil of Gom-chewi: 14 carbohydrates, 4 alcohols, and 1 acetate, and the major constituents were L-${\beta}$-pinene (36.02%), D-limonene (25.64%), ${\alpha}$-pinene (24.85%) and ${\beta}$-phellandrene (5.39%). In the essential oil of HGC, 25 constituents were identified: 17 carbohydrates, 4 alcohols, 3 acetates, and 1 N-containing compound, and the major constituents of HGC were D-limonene (39.74%), L-${\beta}$-pinene (35.43%) and ${\alpha}$-pinene (11.94%). The minor constituents of HGC were ${\rho}$-cymene, ${\gamma}$-muurolene, ${\gamma}$-cadinene, germacrene D, ingol 12-acetate and butyl 9,12,15-octadecatriene and nimorazole were not identified in the GC essential oil. Overall, the results showed that the fragrance and chemical compositions of essential oils in GC and HGC differed, suggesting that both essential oils could be used for the development of perfumery products.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.36 no.1
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• pp.55-61
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• 2003

This study was conducted to evaluate distribution and behavior characteristics of heavy metals for tidal flat sediments in the Saemankeum area. The value of heavy metal contents in the tidal flat sediments were higher than that surveyed in 1994, but showing that it's lower when compared with the value of Shiwha lake. Enrichment factors in the tidal flat sediments showed below 1 except for Pb and Zn. Metal excesses was appeared that Cu, Cr, Fe, Mn lacked and Pb, Zn were high. The correlation analysis between heavy metals and organic matters was found high positive relationship (r=0.424$\~$0.839), especially correlation coefficient between ignition loss and oxide Al, Fe, Mn showed high positive relationship above 0.7. The correlation analysis between Brain size and hear metals was found that as grain size was small, heavy metals contents were increased. Correlation coefficient between silt and heavy metals except for Cu, Pb showed high positive relationship as 0.552$\~$0.732.

• Journal of Hospice and Palliative Care
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• v.14 no.4
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• pp.212-217
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• 2011

Purpose: Since 2005, the Ministry of Health & Welfare has provided financial support to promote palliative care for terminal cancer patients. We analyzed how palliative care facilities used the funding between 2006 and 2010. Methods: Frequency analysis was conducted by the item of expenditure based on fiscal reports of the palliative care facilities. Linear regression analysis was performed to examine a trend over time. Kruskal-Wallis test and Wilcoxon rank-sum test were used to compare expenditure items, the number of provision of financial support and type of palliative care units. Results: About a half of the fund was spent to pay care givers salary, improve facilities and purchase equipment regardless of the year, the number of financial support provided or facility type. By year, the operation cost for palliative care program and the education cost for health care workers have significantly increased in linear regression analysis (P<0.01). However, the amount of financial support for the low income group has decreased over years (P=0.024). This trend was affected by evaluation criteria and weight. Conclusion: The government aid for palliative care units has been used to improve facilities and equipment. Moreover, desirable changes were noted such as a higher portion of expenses for program operation and care giver training to enhance the quality of care. However, the evaluation criteria need to be adjusted to prevent any further decrease in the support provided to the low income group.

• Journal of Food Hygiene and Safety
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• v.27 no.4
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• pp.349-355
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• 2012

In this study, we configured a system which ranks hazardous chemicals to determine their management priorities based on experts' opinions and the existing CRS (chemical ranking and scoring). Aggregate exposure of food, health functional food, oriental/herbal medicine and cosmetics have been taken into account to determine management priority. In this study, 25 hazardous chemicals were selected, such as cadmium, lead, mercury, and arsenic, etc. These 25 materials were ranked according to their 1) risk (exposure or hazard) indexes, 2) exposure source-based weight, and 3) public interests, which were also formed based on the existing priority ranking system. Cadmium was scored the highest (178.5) and bisphenol A the lowest (56.8). Ten materials -- cadmium, lead, mercury, arsenic, tar, acrylamide, benzopyrene, aluminium, benzene, and PAHs -- scored higher than 100. Eight materials -- aflatoxin, manganese, phthalate, chromium, nitrate/nitrite, ethylcarbamate, formaldehyde, and copper -- recorded scores in the range from 70 to 100. Also evaluated as potential risks were 7 materials; sulfur dioxide, ochratoxin, dioxins, PCBs, fumonisin, methyl mercury, and bisphenol A, and these materials were scored above 50. Then we compared risk index and correlation coefficient of total scores to confirm the validity of the total scores; we analyzed correlation coefficient of parameter and indicator. We discovered that the total score and weight, which has incorporated public interests, were high and statistically significant. In conclusion, the result of this study contributes to strengthening risk assessment and risk management of hazardous chemicals.

• Journal of Korean Home Economics Education Association
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• v.20 no.3
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• pp.85-105
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• 2008

The purpose of this study was to develop a narrative analytic scoring rubric through teacher-students negotiations, as an assessment of tasks using methods of experiment and practice for home economic(HE) in the middle school. In this study. an analytic rubric had been developed in the following three stages: In the first stage, all the things for rubric development were defined and prepared, by selecting tasks used for rubric application through a questionnaire survey, providing detailed directions on methods and procedures and needed items, and selecting a class for rubric negotiation and setting the development schedule. In addition, the method suggested by Ainsworth and Christinson(1998) in Student Generated Rubrics was used. In the second stage, performance criteria for tasks in terms of knowledge, skills, and attitude were developed, setting scoring framework and scales depending on assessment areas. Referring to selected scoring framework and assessment criteria, observable and assessable behaviors were used to describe rubric based on A, B, and C scale. Then, a primary rubric was developed through teacher-students negotiations, using rubrics made by group. In the last stage, the developed primary rubric was reviewed by an expert of HE education to test the validity. Moreover, the analysis to test the suitability of the final rubric assessment tool employed 46 copies of questionnaire collected from incumbent home economics teachers selected by way of random sampling mainly focusing on those teachers who were in the Master's degree program or completed the program at one university. As a result, the average of suitability of aa the rubrics were over 4.0 in th 5-point scale.

• The Journal of Korean Philosophical History
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• no.32
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• pp.395-432
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• 2011

The purpose of this study is (i) to explore arguments of post-kohlbergian approach in moral psychology and; (ii) to analyze Blasi's and Lapsley's positions regarding the relationship between moral philosophy and psychology in terms of reflective reasoning and; (ⅲ) to suggest their's implication concerning the future development of moral identity theory. Moral identity theory has emerged as an alternative approach of the Kohlberg's moral development theory. Theorists of moral identity theory commonly criticize Kohlberg's theory as a philosophical psychology and insist the autonomy of moral psychology. However, one can find different positions within this trend, especially concerning he meaning and role of the reflection in moral functioning. Blasi emphasizes the importance of the reflective reasoning of moral agent, while Lapsley supports moral automacy contrary to Kohlberg's phenomenalism. Although Blasi had been negative about building moral psychology based on the moral philosophy, he has articulated the moral identity theory based on the concept of free will by Frankfurt. However, recently he criticizes intuitionist theory of Haidit and suggests the notion of the moral agent with the skill of reflective reasoning, or post-conventional thinking in Kohlberg's terms. Blasi's perspective of moral identity has two version. The one emphasizes the moral understanding which means strong evaluation, while the other refers to reasoning with weak evaluation. This leads to an inevitable inner contradiction within his theory of moral identity. Lapsley considers moral identity as a heuristic idea and suggests moral chronic as a new model of moral identity. This model is based on the social cognitive theory. His social cognitive model of moral personality provides the account for implicit, tacit, and automatic of moral functioning, while reflecting the core of moral identity. Lapsley suggests that moral function involves conscious and unconscious processes. The former occurs in normal situations of life, while the latter in rare and unusual situations. He does not highlight reasoning in moral functioning as Blasi do. In consequence, I will argue the notion of the moral agent with the skill of reflective reasoning, or post conventional thinking in Kohlberg's terms in the moral functioning like Gibbs and Turiel positions in the Journal of Moral Education' s 2008 special issue. Moral philosophy and psychology should be in complementary relations. It means we explore not only more interdisciplinary researches on the moral functioning, but also researches based on the moral philosophy.

• (The)Study of the Eastern Classic
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• no.35
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• pp.415-445
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• 2009

A well-known historian, Ahn Jeong-Bok(Sun-Am, 1712~1791) was an expert on the country village community. He was a scholar of the "Nam-In" group, who was excluded from the corridors of power in those days. He kept on the move in various parts of country villages from his childhood. After settling down in Deok-Gok, Kwang-Ju, he stayed in the place devoting himself to the self-culture and the literary works. By his surrounding of environment, he had an academic interest in a concrete science rather than metaphysics and country villages rather than the central city. He considered the country villages as the link holding between a family and a country and had the conception of a confucianist community based on country villages, emphasizing the practice of confucianist virtues in everyday life. First of all, his confucianist community was the community based on country villages. He thought that the enlightenment was a matter of great importance for solving problems in country villages. As a solution to those problems, he suggested Hyang-Yak, the self-governed regulations of country villages. In his own village he made the self-governed rules Dong-Yak. When he was a provincial governer of Mok-Cheon, he put Hyang-Yak, the self-governed regulations of country villages in operation. It aimed for a kind of gentry-centric country village community. But Hyang-Yak was the regulations based on the agreement with each other, stressed the regard on the popular mind and the setting the pace of the gentry, and aimed for the harmony and order in a community through the practice of moral virtues in daily life. On the other hand, he had a conception of a country village's academic community. He thought of the development of educational intuitions as a pressing need of the enlightenment of country village. With young people he read confucianist books with comments in a village school, Seo-Jae. In his seventies, he made and put the self-regulations for academic community, Hak-Yak, in operations. It is considered that Hak-Yak was an example of his idea of academic community and his point of view on learning, which emphasized on the coincidence with reading and practice.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.617-628
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• 2022

A ground support pattern should be designed by properly integrating various support materials in accordance with the rock mass grade when constructing a tunnel, and a technical decision must be made in this process by professionals with vast construction experiences. However, designing supports at the early stage of tunnel design, such as feasibility study or basic design, may be very challenging due to the short timeline, insufficient budget, and deficiency of field data. Meanwhile, the design of the support pattern can be performed more quickly and reliably by utilizing the machine learning technique and the accumulated design data with the rapid increase in tunnel construction in South Korea. Therefore, in this study, the design data and ground exploration data of 48 road tunnels in South Korea were inspected, and data about 19 items, including eight input items (rock type, resistivity, depth, tunnel length, safety index by tunnel length, safety index by rick index, tunnel type, tunnel area) and 11 output items (rock mass grade, two items for shotcrete, three items for rock bolt, three items for steel support, two items for concrete lining), were collected to automatically determine the rock mass class and the support pattern. Three machine learning models (S1, A1, A2) were developed using two machine learning algorithms (SVR, ANN) and organized data. As a result, the A2 model, which applied different loss functions according to the output data format, showed the best performance. This study confirms the potential of support pattern design using machine learning, and it is expected that it will be able to improve the design model by continuously using the model in the actual design, compensating for its shortcomings, and improving its usability.