• Korean Security Journal
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• no.34
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• pp.233-258
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• 2013

In the early days of the Goryeo Dynasty, the royal guard was comprised of the central regular army in the 2-gun-6-wi system, and Nasungeomgun was in charge of the security inside the palace. However, the military system became disorganized during the period of military rule and the royal guard had to rely on military subjects. The military officials suppressed the civil ministers centering on Jungbang, the guarding organization close to the King to incapacitate the royal authority and control the state affairs. When the rule of the three leaders of the military rule became short-lived and Dae-seung Gyeong is raised to the ruler, he organized a do-or-die squad comprised of a hundred and more people for his personal safety, and this became the first dobang. Dobang was disassembled after Dae-seung Gyeong died of disease, but under the rule of Chung-heon Choe, Dae-seung Gyeong's dobang was revived and reinforced into 'Yukbeon Dobang' to provide the ruler with personal protection and intensify the ruling system, and it was quite a large organization with more refined system. Yukbeon Dobang was expanded and reinforced into Naeoedobang under the rule of Woo Choe, the son of Chung-heon Choe, and it was enhanced even more into Dobang Samsipyukbeon System under the rule of the grandson, Hang Choe. Dobang can be considered as the guard organization in modern sense, and it collected information and surveyed the area where guarding is required and house troops that belonged to Naedobang eliminated the risks that may follow afterwards to make assurance doubly sure for guarding. The Choe's regime established Mabyeolcho as a private guard organization in addition to dobang, and this formed the cavalry and infantry units with dobang. Yabyeolcho organized by Woo Choe in the reign of King Gojong was divided into Joabyeolcho and Ubyeolcho, and later Sineuigun was integrated with them to form Sambyeolcho. Originally, Yabyeolcho was established under the rule of Woo Choe to prevent crime in the evening, but after Sineuigun was organized with the ones who were captured by Mongolian army but escaped, in other words when Sambyeolcho was organized, the organization displayed much broader influence by covering military and police affairs as well as punishment and imprisonment. The guarding organization during the Period of Military Rule in the Goryeo Dynasty did not have strict distinction between official guard and personal guard. The private guard in modern days which is the equivalent of personal guard is characterized by its commerciality, however, house troops and the members of dobang did not seem to pursued profit. The guard organization during the period of military rule started from dobang which was organized for personal safety but gradually developed publicness through the participation of civil ministers and expansion, and later it played the pivotal role for social security serving official purpose up to the level where the distinction between official and private activities was blurred during the period of Sambyeolcho.

• Sijohaknonchong
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• v.26
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• pp.25-54
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• 2007

This paper examines the literatherapy effects of Korea's oldest form of literature, Sijo, and its role in the future of literatherapy. Since literature is the expression of human emotions, and therapy is related to medicine, the two seem to have little in common, but they share the function of resolving conflicts. The effectiveness of literatherapy has only recently become a matter of discussion. However, literatherapy is greatly involved with the utility value of literature, and should be taken seriously. This research focused on the literatherapy function of the 16th-17th century Gangho-Sijo. Gangho-Sijo was created by literary men from the Sarim-school, who were removed from their posts in the government due to a massacre(Sawha) and rianly(Dangjaing), and spent most of their time away from politics. Their Sijo were mostly about life in retreat, and their mental state at that time. In relation to literatherapy, the mentality and attitudes of these scholars can be divided into three stages. The first is anxiety and depression, the second tranquility and harmony. and the third serenity. At the final stage, the scholars are liberated from worldly desires. Each of these phases hold the effect of literatherapy. The first stage can relate to 'theory of purgation', ISO-Prinsip, which is based on 'like cures like' which means to treat something with its own kind Fight fire with fire. The second step involves 'theory of purification', and by balancing his emotions, the scholar can achieve mental stability. In the final stage, literatherapy is acquired when the scholar expresses his emotions in a clarification(theory of clarification). At this phase, literatherapy finally has an effect, while the phase itself functions as literatherapy as well. The study of literatherapy is still at its early stages, thus has many limitations. However, literatherapy has bright prospects, and it is my hope that this report will be used as a reference for its further research.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.33 no.3
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• pp.38-49
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• 2015

This study aims to contemplated spatial recognition in Soswaewon Garden through garden visitors poetry. It was content analysis in poetry and extract frequency from words based on relationship of author. The results were as follows. First, relationship of authors who wrote Soswaewon Garden poetry was formed in companionship. In the Yang, San-Bo(梁山甫), poetry was written by Song, Soon(宋純), Kim, Un-Geo(金彦据) and Kim, In-Hu(金麟厚) as the central figure. Especially Kim, In-Hu was playing an important role in Soswaewon Garden poetry. He was wrote many of poetry and keep friends with Yang, Ja-Jeong(梁子渟) too. In the Yang, Ja-Jung, relationship of previous generation was sustained. In addition, Ko, Gyeong-Myeong(高敬命) and Kim, Seong-Won and Jeong, Chul(鄭澈) is more closely related than others. Because blood relationship by marriage. In the Yang, Jin-Tae(梁晋泰), He formed a relationship with a celebrity and attend to international activity. Since then Yang, Jin-Tae periord, Yang, Gyeong-Ji(梁敬之) and Yang, Chae-Ji(梁采之) formed relationship of previous generation was sustained. And surrounding people was written poetry as hold a banquet. Second, plant and ornament is a popular object for writing poetry. Bamboo grove and Fine tree with a high frequency of plant element in poetry. Bamboo grove is a typical species of trees in Soswaewon Garden. It was enclosed the Soswaewon Garden. Fine tree was often used target of poetry as a single tree. Meanwhile, ornament of the wall has been used most frequently. Descendants wrote a poem to see it because Kim, In-Hu's poetry was left. This phenomenon is involves respect for the ancient sages with high frequency. In addition, behavior of viewing the landscape was mainly appeared. Third, spatial recognition of Soswaewon Garden can be divided into landscape cognition, behavior cognition and emotional cognition. In a aspect of landscape cognition, early Soswaewon Garden was recognized as a pavilion. That was used garden name to 'Soswaewon Garden' since Yang, Ja-Jung's period. That is to say, Soswaewon Garden expanded from pavilion area surrounded by trees into the whole appearance is equipped garden area. Behavior cognition was consisting drink and enjoys a landscape. In the Yang, San-Bo, authors enjoyed drinking and viewing a landscape besides walking, writing poetry, viewing the moon. But after Yang, San-Bo's period other than drinking and enjoy a landscape has appeared a low frequency. These results were changed from internal place to blood relationship into external place to companionship. In the Yang, San-Bo's emotional cognition was sorrow and yearning about leave to Soswaewon Garden with an idly atmosphere. Pleasant emotion was sustained all generation. And emotion of respect for the ancient sages was appeared since Yang, Cheon-un.

• The Korean Society of Law and Medicine
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• v.16 no.2
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• pp.263-291
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• 2015

In May, 2015, a 68 years old man, who has been Middle East Saudi Arabia and the United Arab Emirates, had high fever, muscle aches, cough and shortness of breath. he went two local hospital near his house and the S Medical Center emergency center. He was diagnosed MERS(Middle East respiratory syndrome) and the diseases had put South Korea the fear of epidemics for three months. Especially, this disease has firstly reported in Middle East Asia in September 2012 and spreaded to twenty-six countries. In 21, July, 2015, European Center for disease prevention and control reported 533 people were died and in South Korea, 186 people were infected, 36 people were died and 16,693 people were isolated from MERS. South Korea government were faced into epidemic control and blamed from public. Especially, hospital acquired infection, disease control chain, opening of information, ventilation, lack of isolation bed, the problem of function of local health center, the issue of reparation for hospital and insurance cover rate, the classification of disease, the role of Korea Centers for disease control and prevention, the culture of visiting hospital to see sick people, the issue of hospital multiple room and other related social support policy. it is time to study and discuss to solve these problems. South Korea citizens felt fear and fright from MERS. What is wore, they thought the dieses were out of their government control. It was unusual case for word except Middle East Asia. numerous tourists canceled visiting korea. South korea economic were severly damaged especially, tourism industry. South korea government should admit that they had failed initial action against MERS and take full reasonability from any damages. The government have to open information to public in terms of epidemic diseases and try to prevent any other epidemic diseases and try to work with local governments.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.1-32
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• 2018

In addition to stakeholders including managers, employees, creditors, and investors of bankrupt companies, corporate defaults have a ripple effect on the local and national economy. Before the Asian financial crisis, the Korean government only analyzed SMEs and tried to improve the forecasting power of a default prediction model, rather than developing various corporate default models. As a result, even large corporations called 'chaebol enterprises' become bankrupt. Even after that, the analysis of past corporate defaults has been focused on specific variables, and when the government restructured immediately after the global financial crisis, they only focused on certain main variables such as 'debt ratio'. A multifaceted study of corporate default prediction models is essential to ensure diverse interests, to avoid situations like the 'Lehman Brothers Case' of the global financial crisis, to avoid total collapse in a single moment. The key variables used in corporate defaults vary over time. This is confirmed by Beaver (1967, 1968) and Altman's (1968) analysis that Deakins'(1972) study shows that the major factors affecting corporate failure have changed. In Grice's (2001) study, the importance of predictive variables was also found through Zmijewski's (1984) and Ohlson's (1980) models. However, the studies that have been carried out in the past use static models. Most of them do not consider the changes that occur in the course of time. Therefore, in order to construct consistent prediction models, it is necessary to compensate the time-dependent bias by means of a time series analysis algorithm reflecting dynamic change. Based on the global financial crisis, which has had a significant impact on Korea, this study is conducted using 10 years of annual corporate data from 2000 to 2009. Data are divided into training data, validation data, and test data respectively, and are divided into 7, 2, and 1 years respectively. In order to construct a consistent bankruptcy model in the flow of time change, we first train a time series deep learning algorithm model using the data before the financial crisis (2000~2006). The parameter tuning of the existing model and the deep learning time series algorithm is conducted with validation data including the financial crisis period (2007~2008). As a result, we construct a model that shows similar pattern to the results of the learning data and shows excellent prediction power. After that, each bankruptcy prediction model is restructured by integrating the learning data and validation data again (2000 ~ 2008), applying the optimal parameters as in the previous validation. Finally, each corporate default prediction model is evaluated and compared using test data (2009) based on the trained models over nine years. Then, the usefulness of the corporate default prediction model based on the deep learning time series algorithm is proved. In addition, by adding the Lasso regression analysis to the existing methods (multiple discriminant analysis, logit model) which select the variables, it is proved that the deep learning time series algorithm model based on the three bundles of variables is useful for robust corporate default prediction. The definition of bankruptcy used is the same as that of Lee (2015). Independent variables include financial information such as financial ratios used in previous studies. Multivariate discriminant analysis, logit model, and Lasso regression model are used to select the optimal variable group. The influence of the Multivariate discriminant analysis model proposed by Altman (1968), the Logit model proposed by Ohlson (1980), the non-time series machine learning algorithms, and the deep learning time series algorithms are compared. In the case of corporate data, there are limitations of 'nonlinear variables', 'multi-collinearity' of variables, and 'lack of data'. While the logit model is nonlinear, the Lasso regression model solves the multi-collinearity problem, and the deep learning time series algorithm using the variable data generation method complements the lack of data. Big Data Technology, a leading technology in the future, is moving from simple human analysis, to automated AI analysis, and finally towards future intertwined AI applications. Although the study of the corporate default prediction model using the time series algorithm is still in its early stages, deep learning algorithm is much faster than regression analysis at corporate default prediction modeling. Also, it is more effective on prediction power. Through the Fourth Industrial Revolution, the current government and other overseas governments are working hard to integrate the system in everyday life of their nation and society. Yet the field of deep learning time series research for the financial industry is still insufficient. This is an initial study on deep learning time series algorithm analysis of corporate defaults. Therefore it is hoped that it will be used as a comparative analysis data for non-specialists who start a study combining financial data and deep learning time series algorithm.