• (The)Study of the Eastern Classic
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• no.68
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• pp.509-538
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• 2017

After 20thcentury, digital game has placed very important aspect in modern culture and industries. Thus, digital game industries have utilized ancient stories for themes and ideas. This trial is not only spotted in industrial sectors but also in liberal arts. This paper has a purpose to look at factors that can convert components from classic novels into digital games. Especially, it will focus on how researchers of classical literature can affect in different industrial sectors. Current analysis shows that stories, fantasies, items of classic novel can essentially help to create new games. However, a game consists of just more than the previous stated components; it requires rules, outcome, conflicts and voluntary to make the games much more interesting. It is often misunderstood that plot and fantasies in games may be the most significant aspects but they are actually not. Classic novel can help to make the rule of the four standards in creating a fun game. Here are rules that Taewonji suggests. First, gamers need to save the bleak world from a turbulent age. Second, The will of the absolute has the ultimate power, so those who have achieved god's will can raise a new country. Thirdly, the sinocentrism and the outskirts of the country are not imperative but they are adjustable notions. The first and second aspects are commonly found in Samkukjiyeonui. Hence, the pattern is very familiar. The most significant rule is the third determinant since the idea purely came from Taewonji. The main character Im Seong from the story was the center of his home country, but he later becomes the outskirt or the barbarian of the new country. Therefore, the players should maintain the three rules when they are following the plot and using different items in the digital game world. The researchers of classic literature should find rules that are suitable for the game from the classic novels. This way, there is no need to discover a separate field for digital games out of classical literature.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.65-82
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• 2021

Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.

• Sim-seong Yeon-gu
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• v.26 no.2
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• pp.149-188
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• 2011

This thesis presents the research of analytical psycholoy in respect of Jindo Dasiraegi. In a funeral of Jindo, situated in the southern island of Korea, there is a theatrical performance which is called Dasiraegi(rebirth). This research manifested a basic, universal meaning of psychological approach related the implicit of death in performing theatre from a analytic psychological point of view. The characteristics of this theatrical feast are like these ; 1) funeral festival 2) entrance of clown(the existence of antipole and conflict) 3) eroticism 4) active participation of female character 5) difficulty in her delivery 6) the moment of joy thanks to childbirth. The prerequisite of this feast should be a propitious mourning of person dying old and rich. That is, after having a complete life, it could be an entire death. Three main roles in Dasiraegi ; a bat-blind buddhist devotee, a strolling actor teasing men, an apostate monk, theses characters lock horns in a form of triangle conflict relations, then they keep a balance with a fake mourner as a protagonist , modulator and narrator. These characters are indeed clowns who manifested a metaphor as a decent, sacred and reasonable part of shadow regards group consciousness. The alive and the deceased, mourner and fake mourner, piety and confusion, wail and laugh, silence and grumble, death and birth, diverse antipole all coexist then theses are in harmony. The blind devotee and the monk are in antipole, the entertainer(anima) provokes a conflict between them. The infant is a solution as same as a result of conflict. This conflict seems to be eased by birth of a baby which is a symbol of wholeness(ganzheits) but the conflict of antipole is reenacted as insisting his parental right so this solution is leaving the baby to the chief mourner who is fourth character and the first beginning. Unconsciousness, hereby, is negotiating with appeared reality. The Images in unconsciousness are conscious and this new energy in unconsciousness is proceeding towards consciousness, then it became a therapeutic power for the loss of consciousness. Dasiraegi is the play of consolation much more for the alive than the deceased. The death signified not a loss but a resurrection and this intends a transition of new leading independent role for the alive. These make us have more prudent consideration concern the double sense of renewal for the dead and the alive. It is preserved as only a form of drama on stage after disappearance of Dasiraegi in a funeral recently. Dasiraegi was a manifestation of unconsciousness for compensation about the unilateral attitude of group consciousness to the strict death excessively. Therefore, this will enable reflect the relativeness and the attitude which regards the death as the end today.