• Journal of the Daesoon Academy of Sciences
• /
• v.21
• /
• pp.323-367
• /
• 2013

한국의 대순진리회는 증산 성사의 가르침을 숭신하는 종교단체로서, 한국 사회에 상당한 영향력을 가지고 있다. 1969년 창설된 대순진리회는 포덕·교화·수도를 삼대 기본사업으로, '음양합덕·신인조화·해원상생·도통진경'을 종지로, '안심·안신·경천·수도'를 사강령으로, '성·경·신'을 수도의 삼요체로 삼고 있다. 또한 인간개조와 포덕천하·구제창생·보국안민을 통하여 지상천국을 건설하는 것을 목표로 한다. 대순진리회는 사상적 측면에서 무(巫)와 유(儒)·불(佛)·도(道)를 포용하고 있다. 이러한 대순사상을 바탕으로 대순진리회의 도인들은 근엄하고 세밀한 실천수도를 수행하는데, 그 내용을 살펴보면 중국 유·불·도의 양생문화와 많은 공통점이 있는 동시에, 또한 뚜렷한 한국 문화의 특색을 띠는 부분도 있다. 이런 면들은 모두 개인적 수도와 사회적 안정을 실현하는 데 큰 도움이 되고 있다. '안심·안신·경천·수도'의 사강령은 대순진리회의 도인들이 지켜야 할 가장 기본적인 행위규범이다. '성·경·신'의 삼요체는 사강령을 실천하기 위한 내면적 수양으로서 모든 수도활동의 근본이 되는 것이다. 삼요체 중에서 '성'을 가장 근본적인 것으로 생각하는데, 그 이유는 오직 '성'을 갖춘 사람만이 '경'과 '신'을 논할 수 있기 때문이다. 반대로 마음속에 망념이 있거나 경거망동을 하는 사람들은 상제에 대한 '경'과 '신'을 잃게 된다. '성실함'이라는 내면적 도덕 품성은 인간으로 하여금 더욱 정직하고 안정되며 오래 지속되게 한다. 뿐만 아니라 '성'은 수도자들로 하여금 더욱 순수해지고, 어리석음을 버리게 한다. 크나큰 도를 성취하려면 먼저 이렇게 얼핏 보기에는 어리석지만 끈기 있는 마음이 필요하다. '성'하면 기운이 솟구쳐 내면이 더욱 안정되고 번뇌는 사라진다. 성심을 수련하면 마음이 안정되고, 마음이 안정되면 정신이 안정되는데, 정신이 안정되면 걱정이 사라지기에 몸도 건강해진다. 삼요체중 '경'과 '신'에 있는 큰 의미 가운데 하나는 상제님에 대한 경배와 믿음을 끝까지 가지라는 것이다. '해원상생·보은상생'은 대순사상의 가장 중요한 대도(大道) 윤리로서 도인들의 수도를 인도하는 기본적인 법칙이다. 대순진리회에서 말하는 해원은 단지 개인 한 사람의 해원이 아니라 우주의 질서를 바로잡는 해원이라는 점에서 중요하다. 그렇기 때문에 대순진리회 도인들은 개개인으로 시작하여 자신의 원한을 해결할 뿐만 아니라, 땅의 원한, 천민의 원한, 여인의 원한 등 모든 원을 해결해 주고자 한다. 즉 삼계의 모든 불평등을 해소하고 불합리한 부분을 바로잡는 것이다. 해원의 다른 측면은 보은이라 할 수 있다. 해원과 보은은 상보상조의 관계에 있는데, 이는 곧 도인들이 행하는 수도의 양 날개라 생각된다. 해원을 통하여 과거의 장애를 제거하고, 보은을 통하여 현재의 덕을 쌓는 것이다. 보은을 하려면 항상 감사의 마음을 간직해야 한다. 그 의미는 인간관계에 있어서 다른 사람이 베푼 은혜를 항상 고맙게 생각해야 한다는 것이며, 더 나아가 천지가 우리에게 베푼 은혜도 감사하게 생각해야 한다는 것이다. 모든 원한이 풀어지고, 모든 은혜를 다 갚았을 때 삼계가 조화롭고 통하게 될 것이다. 대순진리회에서는 도인들의 실천수도 면에서 두 가지 측면을 강조하는데, 즉 포덕교화와 근언신행이다. 근언신행은 자아발전을 위한 도인들의 내적 수련이며, 포덕교화는 도인들이 외부 세상에 대순사상을 알리고 가르치는 것을 말한다. 양자는 동전의 양면과 같이 떨어질 수 없는 관계에 있다. 다른 사람을 포덕·교화 하려면 도인들 스스로가 먼저 말과 행동에 조심해야 한다. 왜냐하면 말과 행동을 조심하는 것 자체가 곧 포덕교화에서 다른 사람의 모범이 되기 때문이다. 인생을 살면서 추구해야 할 가장 높은 목표는 덕(德)을 세우는 것이고, 그 다음은 공(功)을 세우는 것이며, 그 다음은 언(言)을 세우는 것이다. 덕·공·언은 세월이 지나도 그 가치가 빛을 바래지 않는다. 이 세 가지 중 한 가지를 이룬 사람이면 불후하다고 할 수 있다. 성인들이 성인으로 칭송 받았던 이유는 모두 육체를 초월한 덕·공·언으로 세상을 풍요롭게 했기 때문이다. 그렇기 때문에 비록 그들이 세상을 떠났다 하더라도 마치 살아있는 것처럼 영원히 추앙되니, 이것을 통하여 영생을 얻는 것이다. '영생(永生)' 만큼 높은 경지에 도달하는 '양생'이 또 어디에 있겠는가? 대순진리회 실천수도의 최고목표는 바로 인간 내면의 수양을 최고의 경지로 끌어올리는 것으로서 이는 곧 음양합덕·도통진경이다. 다시 말해서 영원히 불후한 경지에 이르고 만세(萬歲)토록 영생하는 것이며 신(神) 그리고 성인이 되는 것이다.

• Land and Housing Review
• /
• v.14 no.4
• /
• pp.1-16
• /
• 2023

As population ageing and shrinking accompanied by dramatically expanded individual life expectancy and declining fertility rate is a global phenomenon, ageing becomes its broader perspective of ageing well embedded into sustained health and well-being, and also the fourth industrial revolution speeds up a more robust and inclusive view of smart ageing. While the latest paradigm of SA has gained considerable attention in the midst of sharply surging demand for health and social services and rapidly declining labor force, the definition has been widely and constantly discussed. This research is to constitute a conceptual framework of smart ageing (SA) from systematic literature review and the use of a series of secondary data and Geographical Information Systems(GIS), and to explore its components. The findings indicate that SA is considered to be an innovative approach to ensuring quality of life and protecting dignity, and identifies its constituents. Indeed, the construct of SA elaborates the multidimensional nature of independent living, encompassing three spheres - Aging in Place (AP), Well Aging (WA), and Active Ageing (AA). AP aims at maintaining independence and autonomy, entails safety, comfort, familiarity and emotional attachment, and it values social supports and services. WA assures physical, psycho-social and economic domains of well-being, and it concerns subjective happiness. AA focuses on both social engagement and economic participation. Moreover, the three constructs of SA are underpinned by specific elements (right to housing, income adequacy, health security, social care, and civic engagement) which are interrelated and interconnected.

• Journal of Intelligence and Information Systems
• /
• v.24 no.2
• /
• pp.85-109
• /
• 2018

Recommender system recommends the items expected to be purchased by a customer in the future according to his or her previous purchase behaviors. It has been served as a tool for realizing one-to-one personalization for an e-commerce service company. Traditional recommender systems, especially the recommender systems based on collaborative filtering (CF), which is the most popular recommendation algorithm in both academy and industry, are designed to generate the items list for recommendation by using 'overall rating' - a single criterion. However, it has critical limitations in understanding the customers' preferences in detail. Recently, to mitigate these limitations, some leading e-commerce companies have begun to get feedback from their customers in a form of 'multicritera ratings'. Multicriteria ratings enable the companies to understand their customers' preferences from the multidimensional viewpoints. Moreover, it is easy to handle and analyze the multidimensional ratings because they are quantitative. But, the recommendation using multicritera ratings also has limitation that it may omit detail information on a user's preference because it only considers three-to-five predetermined criteria in most cases. Under this background, this study proposes a novel hybrid recommendation system, which selectively uses the results from 'traditional CF' and 'CF using multicriteria ratings'. Our proposed system is based on the premise that some people have holistic preference scheme, whereas others have composite preference scheme. Thus, our system is designed to use traditional CF using overall rating for the users with holistic preference, and to use CF using multicriteria ratings for the users with composite preference. To validate the usefulness of the proposed system, we applied it to a real-world dataset regarding the recommendation for POI (point-of-interests). Providing personalized POI recommendation is getting more attentions as the popularity of the location-based services such as Yelp and Foursquare increases. The dataset was collected from university students via a Web-based online survey system. Using the survey system, we collected the overall ratings as well as the ratings for each criterion for 48 POIs that are located near K university in Seoul, South Korea. The criteria include 'food or taste', 'price' and 'service or mood'. As a result, we obtain 2,878 valid ratings from 112 users. Among 48 items, 38 items (80%) are used as training dataset, and the remaining 10 items (20%) are used as validation dataset. To examine the effectiveness of the proposed system (i.e. hybrid selective model), we compared its performance to the performances of two comparison models - the traditional CF and the CF with multicriteria ratings. The performances of recommender systems were evaluated by using two metrics - average MAE(mean absolute error) and precision-in-top-N. Precision-in-top-N represents the percentage of truly high overall ratings among those that the model predicted would be the N most relevant items for each user. The experimental system was developed using Microsoft Visual Basic for Applications (VBA). The experimental results showed that our proposed system (avg. MAE = 0.584) outperformed traditional CF (avg. MAE = 0.591) as well as multicriteria CF (avg. AVE = 0.608). We also found that multicriteria CF showed worse performance compared to traditional CF in our data set, which is contradictory to the results in the most previous studies. This result supports the premise of our study that people have two different types of preference schemes - holistic and composite. Besides MAE, the proposed system outperformed all the comparison models in precision-in-top-3, precision-in-top-5, and precision-in-top-7. The results from the paired samples t-test presented that our proposed system outperformed traditional CF with 10% statistical significance level, and multicriteria CF with 1% statistical significance level from the perspective of average MAE. The proposed system sheds light on how to understand and utilize user's preference schemes in recommender systems domain.

• Strategy21
• /
• s.46
• /
• pp.239-276
• /
• 2020

The failure of early economic sanctions aimed at hurting the overall economies of targeted states called for a more sophisticated design of economic sanctions. This paved way for the advent of 'smart sanctions,' which target the supporters of the regime instead of the public mass. Despite controversies over the effectiveness of economic sanctions as a coercive tool to change the behavior of a targeted state, the transformation from 'comprehensive sanctions' to 'smart sanctions' is gaining the status of a legitimate method to impose punishment on states that do not conform to international norms, the nonproliferation of weapons of mass destruction in this particular context of the paper. The five permanent members of the United Nations Security Council proved that it can come to an accord on imposing economic sanctions over adopting resolutions on waging military war with targeted states. The North Korean nuclear issue has been the biggest security threat to countries in the region, even for China out of fear that further developments of nuclear weapons in North Korea might lead to a 'domino-effect,' leading to nuclear proliferation in the Northeast Asia region. Economic sanctions had been adopted by the UNSC as early as 2006 after the first North Korean nuclear test and has continually strengthened sanctions measures at each stage of North Korean weapons development. While dubious of the effectiveness of early sanctions on North Korea, recent sanctions that limit North Korea's exports of coal and imports of oil seem to have an impact on the regime, inducing Kim Jong-un to commit to peaceful talks since 2018. The purpose of this paper is to add a variable to the factors determining the success of economic sanctions on North Korea: preventing North Korea's evasion efforts by conducting illegal transshipments at sea. I first analyze the cause of recent success in the economic sanctions that led Kim Jong-un to engage in talks and add the maritime element to the argument. There are three conditions for the success of the sanctions regime, and they are: (1) smart sanctions, targeting commodities and support groups (elites) vital to regime survival., (2) China's faithful participation in the sanctions regime, and finally, (3) preventing North Korea's maritime evasion efforts.

• (The) Research of the performance art and culture
• /
• no.41
• /
• pp.5-38
• /
• 2020

The current state of performance halls in South Korea is closely related to the performance art and culture of the nation as the culture of putting on and enjoying a performance is deeply rooted in public culture and arts halls representing each area at the local government level. Today, public culture and arts halls have multiple management purposes, and the subjects of their management are in the public domain including the central and local governments or investment and donation foundations in overwhelming cases. Public culture and arts halls thus have close correlations with the institutional aspect of cultural policies as the objects of culture and art policies at the central and local government level. The full-blown era of public culture and arts halls opened up in the 1980s~1990s, during which multi-purpose performance halls of a similar structure became universal around the nation. Public culture and arts halls of the uniform shape were distributed around the nation with no premise of genre characteristics or local environments for arts, and this was attributed to the cultural policies of the military regime. The Park Chung-hee regime proclaimed Yusin that was beyond the Constitution and enacted the Culture and Arts Promotion Act(September, 1972), which was the first culture and arts act in the nation. Based on the act, a five-year plan for the promotion of culture and arts(1973) was made and led to the construction of cultural facilities. "Public culture and arts" halls or "culture" halls were built to serve multiple purposes around the nation because the Culture and Arts Promotion Act, which is called the starting point of the nation's legal system for culture and arts, defined "culture and arts" as "matters regarding literature, art, music, entertainment, and publications." The definition became a ground for the current "multi-purpose" concept. The organization of Ministry of Culture and Public Information set up a culture and administration system to state its supervision of "culture and arts" and distinguish popular culture from the promotion of arts. During the period, former President Park exhibited his perception of "culture=arts=culture and arts" in his speeches. Arts belonged to the category of culture, but it was considered as "culture and arts." There was no department devoted to arts policies when the act was enacted with a broad scope of culture accepted. This ambiguity worked as a mechanism to mobilize arts in ideological utilizations as a policy. Against this backdrop, the Sejong Center for the Performing Arts, a multi-purpose performance hall, was established in 1978 based on the Culture and Arts Promotion Act under the supervision of Ministry of Culture and Public Information. There were, however, conflicts of value over the issue of accepting the popular music among the "culture and arts = multiple purposes" of the system, "culture ≠ arts" of the cultural organization that pushed forward its establishment, and "culture and arts = arts" perceived by the powerful class. The new military regime seized power after Coup d'état of December 12, 1979 and failed at its culture policy of bringing the resistance force within the system. It tried to differentiate itself from the Park regime by converting the perception into "expansion of opportunities for the people to enjoy culture" to gain people's supports both from the side of resistance and that of support. For the Chun Doo-hwan regime, differentiating itself from the previous regime was to secure legitimacy. Expansion of opportunities to enjoy culture was pushed forward at the level of national distribution. This approach thus failed to settle down as a long-term policy of arts development, and the military regime tried to secure its legitimacy through the symbolism of hardware. During the period, the institutional ground for public culture and arts halls was based on the definition of "culture and arts" in the Culture and Arts Promotion Act enacted under the Yusin system of the Park regime. The "multi-purpose" concept, which was the management goal of public performance halls, was born based on this. In this context of the times, proscenium performance halls of a similar structure and public culture and arts halls with a similar management goal were established around the nation, leading to today's performance art and culture in the nation.

• Journal of Intelligence and Information Systems
• /
• v.23 no.2
• /
• pp.107-122
• /
• 2017

Volatility in the stock market returns is a measure of investment risk. It plays a central role in portfolio optimization, asset pricing and risk management as well as most theoretical financial models. Engle(1982) presented a pioneering paper on the stock market volatility that explains the time-variant characteristics embedded in the stock market return volatility. His model, Autoregressive Conditional Heteroscedasticity (ARCH), was generalized by Bollerslev(1986) as GARCH models. Empirical studies have shown that GARCH models describes well the fat-tailed return distributions and volatility clustering phenomenon appearing in stock prices. The parameters of the GARCH models are generally estimated by the maximum likelihood estimation (MLE) based on the standard normal density. But, since 1987 Black Monday, the stock market prices have become very complex and shown a lot of noisy terms. Recent studies start to apply artificial intelligent approach in estimating the GARCH parameters as a substitute for the MLE. The paper presents SVR-based GARCH process and compares with MLE-based GARCH process to estimate the parameters of GARCH models which are known to well forecast stock market volatility. Kernel functions used in SVR estimation process are linear, polynomial and radial. We analyzed the suggested models with KOSPI 200 Index. This index is constituted by 200 blue chip stocks listed in the Korea Exchange. We sampled KOSPI 200 daily closing values from 2010 to 2015. Sample observations are 1487 days. We used 1187 days to train the suggested GARCH models and the remaining 300 days were used as testing data. First, symmetric and asymmetric GARCH models are estimated by MLE. We forecasted KOSPI 200 Index return volatility and the statistical metric MSE shows better results for the asymmetric GARCH models such as E-GARCH or GJR-GARCH. This is consistent with the documented non-normal return distribution characteristics with fat-tail and leptokurtosis. Compared with MLE estimation process, SVR-based GARCH models outperform the MLE methodology in KOSPI 200 Index return volatility forecasting. Polynomial kernel function shows exceptionally lower forecasting accuracy. We suggested Intelligent Volatility Trading System (IVTS) that utilizes the forecasted volatility results. IVTS entry rules are as follows. If forecasted tomorrow volatility will increase then buy volatility today. If forecasted tomorrow volatility will decrease then sell volatility today. If forecasted volatility direction does not change we hold the existing buy or sell positions. IVTS is assumed to buy and sell historical volatility values. This is somewhat unreal because we cannot trade historical volatility values themselves. But our simulation results are meaningful since the Korea Exchange introduced volatility futures contract that traders can trade since November 2014. The trading systems with SVR-based GARCH models show higher returns than MLE-based GARCH in the testing period. And trading profitable percentages of MLE-based GARCH IVTS models range from 47.5% to 50.0%, trading profitable percentages of SVR-based GARCH IVTS models range from 51.8% to 59.7%. MLE-based symmetric S-GARCH shows +150.2% return and SVR-based symmetric S-GARCH shows +526.4% return. MLE-based asymmetric E-GARCH shows -72% return and SVR-based asymmetric E-GARCH shows +245.6% return. MLE-based asymmetric GJR-GARCH shows -98.7% return and SVR-based asymmetric GJR-GARCH shows +126.3% return. Linear kernel function shows higher trading returns than radial kernel function. Best performance of SVR-based IVTS is +526.4% and that of MLE-based IVTS is +150.2%. SVR-based GARCH IVTS shows higher trading frequency. This study has some limitations. Our models are solely based on SVR. Other artificial intelligence models are needed to search for better performance. We do not consider costs incurred in the trading process including brokerage commissions and slippage costs. IVTS trading performance is unreal since we use historical volatility values as trading objects. The exact forecasting of stock market volatility is essential in the real trading as well as asset pricing models. Further studies on other machine learning-based GARCH models can give better information for the stock market investors.