• The Journal of Korean Philosophical History
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• no.54
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• pp.9-42
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• 2017

It is as necessary as ever to make constant efforts to overcome the regional strife between the eastern and western parts of Korea and come to a mutual understanding. To achieve this, we must endeavor to correct Korean people's distorted understanding of the history of Korean philosophical thoughts. Ordinary Koreans commonly and mistakenly associate the academic circles of Korean Neo-Confucianism with certain regions by which to divide them into Giho School and Yongnam School and then go as far as associating the schools and parties and pegging them 'Namin'(南人) to refer to as the followers of Yongnam School and 'Seoin'(西人) as the followers of Giho School. Such false notions must be corrected. During the reign of King Seonjo, political factions of Joseon were split into Yongnam and Giho, or East and West. At the time, the two cardinal directions East and West were only used to refer to the eastern and western parts of Seoul, and not Yeongnam(East) and Giho(West) of the Korean Peninsula. Therefore, the factional split at the time has nothing to do with regional cleavages. In fact, a majority of scholars representing Korean Neo-Confucianism maintained a friendly relationship regardless of the school, party, and region. Many leading scholars in the middle of the Joseon Dynasty namely Jo Sik(曺植)/Seong Woon(成運), Lee Hwang(李滉)/Ki DeaSeung(奇大升), Lee Hwang(李滉)/Lee Yi(李珥), Noh Susin (盧守愼)/Lee Yi, the ones in the late Joseon Dynasty -Jeong Gyeong Se(鄭經 世)/Kim Jang-Saeng(金長生), Jeong Gyeong Se(鄭經世)/Song Joon Gil(宋浚吉), and also those at the end of the Joseon Dynasty such as Kwak JongSeok(郭鍾錫) and Kim BokHan(金福漢) deeply respected each other and had a close friendship rooted in their academic commitment. The friendship between the leaders of Giho and Yongnam is a testimony to the high level of their character, academic achievement, and intellect. More than ever, such intangible intellectual and cultural resources drawn from Korean tradition must be utilized to the fullest. From this point on, we need to further promote the friendship and mutual understanding the scholars of Yongnam(Gyeongsang-do), Gyeonggi, Honam (Jeolla-do), and Hoseo(Chungcheong-do) enjoyed, and use them as a cognitive basis for harmony between the eastern and western parts of the country. These invaluable assets can be specifically used in the promotion of exchange between the local autonomous governments of the regions where above-mentioned scholars built an amicable relationship, joint commemorative events, exchange between families of the scholars of both regions, opening of special exhibitions dedicated to the harmony between Yongnam and Giho at museums in the two regions, co-organization of local festivals, joint operation of culture programs, and relationship and exchange between the 'seowons' in both regions, through which to promote the long history of exchange between the scholars of the past and utilize it in joint projects.

• (The)Study of the Eastern Classic
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• no.37
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• pp.127-159
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• 2009

This paper is about the conception of "Hwangjoin(皇朝人)" during the reign of King Youngjo in the Joseon Dynasity. Originally, Hwangjoin meant the Chinese people till the mid-term of the Joseon Dynasty but the meaning was changed to the immigrants from the Ming(明) dynasty in reign of King Youngjo. They were Han Chinese(漢族) and moved to the Joseon between the Japanese Invasion in 1592 and the Manchu war in 1636. The Joseon government gave a warm welcome to them. Two wars made the Joseon government pay attention to the national restoration and served the entrance of 'Sallim(山林)' on the central government as a momentum. Song, Siyeol(宋時烈) was the leader of Sallim, who made an issue of 'Daecheong-boksu Discourse(對淸復讐論;to revenge on Ching(淸) Dynasty)' like a way of 'Bukbeol(北伐;to attack Ching Dynasty)'. His plan came to fail because of the death of King Hyojong and was replaced with Jonju Discourse(尊周論;respect for Zhou Dynasty). Daebodan(大報壇) was built in the reign of King Sukjong, which meant Joseon got the justness that they inherited from the Ming Dynasty. Later Daebodan expanded and it led to works in honor of loyal subjects and patriots, victims of two wars and a policy of a warm reception for Hwangjoin. King Youngjo did his best to theorize Daemyeong Euiri Discourse(對明義理論) and Jonju Discourse for himself. His efforts came out as a spread of conception on Pungcheon(風泉;fengquan), publication and education of Eoje-seo (御製書) and making literary works(英祖御製). King Youngjo employed many policies for Hwangjoin. First, operation of Chungnyanggwa(忠良科) opened a door for them to go into politics. Second, descendants of Hwangjoin had charge of Hwangdan's guard(皇壇 守直) posts. and joined in the sacrificial rites of Ming Emperors. Third, they could have government jobs and honorary posts for ancestors' merits. Fourth, a list of Hwangjoin, "Hwainlok(華人錄)" was published and they got preferential treatment unlike Hyanhwain(向化人). King Young's Pungcheon(風泉) had an effect on literature such as Lee, Gyusang(李奎象)'s "Beong-sejaeunlok(幷世才彦錄)" and Song, Gyubin(宋奎斌)'s Pungcheon-yuhyang(風泉遺響)". The general people of Joseon were jealous and envious of them because of special treatment polices for Hwangjoin. So people wanted to be included in Hwangjoin as far as possible and there were cases of pretending to be a Hwangjoin. The conception of "Hwangjoin(皇朝人)" during the reign of King Youngjo was realized as the policy for Hwangjoin based on Daemyeong Euiri Discourse (對明義理論) and Jonju Discourse(尊周論). It was a way of becoming clear about Joseon's position in political principle.

• (The)Study of the Eastern Classic
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• no.71
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• pp.9-39
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• 2018

We considered the historical significance and the individual aspects of heroes that are reflected in the historical differences between men and women expressed in the old tales. To achieve this purpose, the paper selects , , , , and as text. Their characters were then catalogued into cultural heroes-Choi ChI-won, popular heroes-Jeon Woo-chI, family heroes-Chung So-jeo, pro-Japanese enlightenment hero-Ilneyomhong and Lee Hyung-kyung. He also tried to achieve his goal by describing the historical significance of the hero's type. China and Joseon were at odds with each other, so their relationship was uncomfortable. It is at the forefront of that concerns this issue. As he was a great writer of Silla, he was able to play a leading role with Chinese writers. We needed Choi ChI-won, a cultural hero, to express our pride that Joseon has a superior culture than China. Joseon was a Confucian society with a strong anti-semitic system. Accordingly, the people were persecuted by the aristocrats for all their centers, and this required a folk hero. He is the leader of the war. Jeon Woo-chI is a real folk hero who solves the people's grudge and wishes through doctoring. As women go back to the late Joseon Dynasty, they change the way women treat men after experiencing war. For this reason, there are novels about female heroes such as <江都夢遊錄>, <朴氏傳>, and <李學士傳>. I think the writer given hope to women who are upset by incompetent men even in their work at the time. Jeongsojeo is a leading hero in the family who is more active than the female lead who is faithful to old wives, but is responsible for helping her husband. Joseon goes through the 淸日 and 露日 wars and is at the center of Japan's prosperity. Japan is the Japan-Korea Treaty of 1905 after the Japanese Resident-General of Korea after heavy emphasis put on with the politics. At this time, he published pro-Japanese newspapers and published pro-Japanese novels to highlight pro-Japanese collaborators. It is Ilneyomhong and Yeoyongwoong.

• Korean Journal of Food Science and Technology
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• v.53 no.3
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• pp.278-289
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• 2021

The rapid aging of society has led to a surge in cognitive dysfunction in the elderly. As there is limited evidence for the development of dementia in medicine, a shift in focus on prevention strategies using bioactive compounds in food is required. This systematic review evaluated the effects of various bioactive compounds on age-associated cognitive decline. The literature was searched for terms related to bioactive compounds in cognitive decline and article selection was limited to clinical randomized controlled trials for a single bioactive compound. We identified 21 studies that evaluated the strength of the evidence. ω-3 fatty acids and vitamin B presented a strong evidence level, whereas vitamin D and E, anserine/carnosine, and chromium were defined as having moderate levels of evidence. ω-3 fatty acids relieved cognitive decline and reduced amyloid β-related protein accumulation. Vitamin B decreased homocysteine levels, which is accompanied by alleviation of cognitive function. In conclusion, ω-3 and vitamin B have the potential to improve age-associated cognitive decline.

• Korean Journal of Heritage: History & Science
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• v.54 no.1
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• pp.206-219
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• 2021

The warming of the climate is increasing the damage caused by termites to wooden buildings, cultural properties and houses. A group removal system can be installed around the building to detect and remove termite damage; however, if the site is not visited regularly, every one to two months, you cannot observe whether termites have spread within, and it is difficult to take prompt effective action. In addition, since the system is installed and operated in an exposed state for a long period of time, it may be ineffective or damaged, resulting in a loss of function. Furthermore if the system is installed near a cultural site, it may affect the aesthetic environment of the site. In this study, we created a detection system that uses wood, cellulose, magnets, and magnetic sensors to determine whether termites have entered the area. The data was then transferred to a low power LoRa Network which displayed the results without the necessity of visiting the site. The wood was made in the shape of a pile, and holes were made from the top to the bottom to make it easier for termites to enter and produce a cellulose sample. The cellulose sample was made in a cylindrical shape with a magnet wrapped in cellulose and inserted into the top of a hole in the wood. Then, the upper part of the wood pile was covered with a stopper to prevent foreign matter from entering. It also served to block external factors such as light and rainfall, and to create an environment where termites could add cellulose samples. When the cellulose was added by the termites, a space was created around the magnet, causing the magnet to either fall or tilt. The magnetic sensor inside the stopper was fixed on the top of the cellulose sample and measured the change in the distance between the magnet and the sensor according to the movement of the magnet. In outdoor experiments, 11 cellulose samples were inserted into the wood detection system and the termite inflow was confirmed through the movement of the magnet without visiting the site within 5 to 17 days. When making further improvements to the function and operation of the system it in the future, it is possible to confirm that termites have invaded without visiting the site. Then it is also possible to reduce damage and fruiting due to product exposure, and which would improve the condition and appearance of cultural properties.

• 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.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.61-71
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• 2022

Data from an investigation of vulnerable conifer species in the subalpine zone in Korea obtained by the Korea Forest Service in 2017-2018 and monitoring research conducted by the National Institute of Forest Science since 2014 were used to analyze the status of distribution and growing condition of three major conifer species (Abies nephrolepis, Abies koreana, and Picea jezoensis) in the subalpine zone in the Baekdudaegan protected area. The distribution area of the studied species in the Baekdudaegan protected area was ca. 74% (8,035 ha) of the total distribution area in Korea, indicating that Baekdudaegan is a core area for conservation and restoration of subalpine conifer species. From decline index [A. nephrolepis in Mt. Taebaeksan and Mt. Deogyusan increased by 77.3% and 29.6%, respectively; A. koreana in Mt. Jirisan (Chunwangbong Peak) increased by 45.2% in four years; and P. jezoensis in Mt. Jirisan (Chunwangbong Peak) increased by 47.8% in two years] and seedling frequency (lower frequency of newly recruited seedlings than dead seedlings) results, the studied species are expected to face difficulties in sustainability. In contrast, at Mt. Seseoksan and Chunwangbong Peak in Mt. Jirisan, the health of trees and seedling frequency showed a partial tendency to recover and increase. In addition, we identified the relationship between the decline index and seedling frequency. These results will support the implementation of conservation strategies for vulnerable conifer species in the subalpine zone.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.167-174
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• 2022

Since the Promotion Committee was established on March 25, 2021, urging the enactment of the Detective Business Act, many opinions and attention from all walks of life have been gathered. The Detective Business system, which is also one of the presidential pledges of the current 19th President Moon Jae In, is expected to be significant in that it can promote the development of a welfare state as well as efficient parts such as meeting the demand for security reinforcement services, improving the judicial system, and enhancing internationalization. In accordance with the consensus of the nine judges of the Constitutional Court that the lower part of Article 40 of the "Act on the Use and Protection of Credit Information" which prohibits the use of similar names such as investigating the general life of certain people does not violate the Constitution, detective work became possible regardless of the general life investigation. In particular, the detective job officially appeared on August 5, 2020, and it will be able to provide effective work services to the public by competing with prosecutors, police, and lawyers who have occupied exclusive positions in the field of a criminal investigations. However, although the role of detectives is gradually expanding and society is rapidly changing, illegal activities are prevalent throughout society, and more than 1,600 companies are currently operating suspiciously using the only name of "detectives", but the police are virtually letting go of the situation saying that they are "unauthorized.", and the damage is only going to the people, so at this point, the most worrisome thing is the absence of the law. Meanwhile, amid concerns over institutions overseeing illegal activities caused by the emergence of the detective industry, private security and detectives are similar to each other as in the United States, and it is expected to be able to gain public trust by entrusting the police in charge of managing and supervising private security companies. Therefore, at this time when most OECD countries except Korea legislate the Detective Business Act, prematurely allowing only the detective industry without enacting industry-related laws and systems can further fuel social confusion and hinder the detective industry along with the new fourth industry.

• Korean Journal of Heritage: History & Science
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• v.55 no.1
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• pp.111-132
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• 2022

The comprehensive examination on tendering system has been introduced to the Cultural Heritage repair and restoration field since 2016 to remedy the repair issues of South Gate in 2014. The Cultural Heritage Administration tried to attain the high performance of the cultural heritage repair and restoration works securing the proper payment for the repair and restoration works. It is high time to review the operating performance of the comprehensive examination on tendering system (hereinafter referred to as the "CEOTS"), as the system has been run for over 5 years to correspond with its original goal, i.e., "The Proper Payment in return for the High Performance of Repair and Restoration works." This study intends to analyze 114 tenders of CEOTS from 2016 to 2020. As a result of the analysis of 114 tenders, firstly, more than half of bid winners were in the top 20% of repair & restoration capacity disclosure amount list, which mostly fulfilled the goal of 'attaining high performance.' Secondly, as the winning bid rate is decreasing from 86.847% in 2017 to 85.488% in 2020, the goal of 'guarantee of a proper payment' is not achieved yet. Thirdly, the influence of Economic Evaluation section in CEOTS has been grown since the change of scoring system in CEOTS in 2019. This study identifies two reasons why the winning bid rate of CEOTS has decreased. Firstly, it is caused by the fact that 'the group that got more than 1st place' and 'the first place group' that are more than half of the total bidders have the decreasing bidding rate trend as the years go by. Secondly, the exclusion rate of 'the group that got more than 1st place' is higher than the exclusion rate of 'the group that got less than 1st place', which means the expected winning rate would be lowered. It is proposed that the revision of CEOTS code is needed, i.e. easing the strict rule concerning the exclusion rate as well as setting up the lower bidding limit to prevent the excessive decreasing winning bid rate.