• Communications for Statistical Applications and Methods
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• v.25 no.2
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• pp.217-234
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• 2018

Copulas are a tool for constructing multivariate distributions and formalizing the dependence structure between random variables. From copula literature review, there are a few asymmetric copulas available so far while data collected from the real world often exhibit asymmetric nature. This necessitates developing asymmetric copulas. In this study, we discuss a method to construct a new class of bivariate asymmetric copulas based on products of symmetric (sometimes asymmetric) copulas with powered arguments in order to determine if the proposed construction can offer an added value for modeling asymmetric bivariate data. With these newly constructed copulas, we investigate dependence properties and measure of association between random variables. In addition, the test of symmetry of data and the estimation of hyper-parameters by the maximum likelihood method are discussed. With two real example such as car rental data and economic indicators data, we perform the goodness-of-fit test of our proposed asymmetric copulas. For these data, some of the proposed models turned out to be successful whereas the existing copulas were mostly unsuccessful. The method of presented here can be useful in fields such as finance, climate and social science.

• Journal of Korean Society of Rural Planning
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• v.27 no.3
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• pp.93-102
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• 2021

This study was attempted to provide a scientific basis for the problem of location selection by spatial scale for efficient promotion of projects related to green care farm complex. Location potential assessment system in local government scale consists of two major components from demand-side and supply-side consideration. The demand-side aspect considered the characteristics of potential users, while supply-side aspect used total 18 indices over 8 divisions under 3 fields. For the location potential assessment in district scale, total 8 indices under 3 major divisions were considered based on biological, physical, social, and economic environment. The application results of the location potential evaluation system in local government scale(excluding metropolitan cities) showed high location potential in southern Gyeonggi Province and near Busan Metropolitan City. As a result of applying the district-scale location potential evaluation system to Geumsan-gun, Geumsan-eup, Chubu-myeon, and Jewon-myeon have high potential. Further studies to improve the applicability of the developed indices are recommended by enhancing assessment indices, complementing base data, and reinforcing with spatial analysis.

• KCID journal
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• v.19 no.1
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• pp.50-63
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• 2012

Many reclaimed tideland projects in Korea have been conducted to secure the food self-sufficiency. In fact, the domestic food self-sufficiency has been greatly improved and reclaimed tideland projects contribute to Korea's economic and social development directly or indirectly replacing agricultural lands from urbanization, industrialization. As result, current self-sufficiency of rice reach the demand(104.6%) while rate of upland crops has less than 30% of self-sufficiency rate and corn, wheat, soybeans, etc. are virtually dependent on imports. Domestic price of crop is expected to be unstable by trend of international grain prices. Therefore, developing reclaimed tidelands as upland which is originally constructed for paddy fields could be a good option to become steady in domestic crop market and dedicate to ensure a stable food security. The study to prepare measures for dealing with disasters in reclaimed tidelands of west coast district is required in order to utilize those sites for infra construction of multi-utilization in those sites and The result of flooding analysis in this study can suggest policy direction for practical utilization of reclaimed tidelands in yellow sea area.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.292-300
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• 2020

According to the development of artificial intelligence technology, attempts have been made to interpret phenomena in various fields of the real world such as economic, social, and scientific fields through computer simulations using virtual artificial agents. In the existing artificial agent-based bargaining game analysis, there was a problem that did not reflect the cost incurred when the stage progresses in the real-world bargaining game and the depreciation of the bargaining target over time. This study intends to observe the effect on the bargaining game by adding the cost incurred in the bargaining stage and depreciation of the bargaining target over time (bargaining cost) to the previous artificial agent-based bargaining game model. As a result of the experiment, it was observed that as the cost incurred in the bargaining stage increased, the two artificial agents participating in the game had a share close to half the ratio and tried to conclude the negotiation in the early stage.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.147-157
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• 2022

The purpose of this study is to establish policy recommendations for the promotion of AI service impact assessment based on the definition of impact assessment and analysis of domestic and foreign AI service impact assessment cases. The direction of implementation was analyzed based on the case of impact evaluation promoted in various fields at home and abroad and the case of impact evaluation at home and abroad of artificial intelligence services. As a step-by-step implementation plan, in the first stage, quantitative indicators such as AI level survey-based economic effects are developed, and in the second stage, information culture such as safety and reliability and artificial intelligence ethics described in the Framework Act on Intelligence Information, social, economic, information protection, and people's daily lives are prepared. In the third stage, discussion on detailed metrics and methods will be expanded and impact assessment results will be evaluated. This study requires analysis through various participants such as policy designers, artificial intelligence service developers, and civic groups in the future.

• Journal of Navigation and Port Research
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• v.31 no.6
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• pp.509-514
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• 2007

The importance of the GPS is becoming larger and larger since it is one of the Global Navigation Satellite Systems and is regarded as a national infrastructure in the field positioning and timing Nowadays many researches avoiding and/or minimizing economic loss caused by unexpected fault of the GPS are being carried out because GPS fault can give a large impact on social security system as well as economic system NDGPS network which has been authorized by the Ministry of Marine and Fisheries provides services for marine users and evolved into a national infrastructure for GNSS users. Many researchers and engineers are doing research work in order to apply the NDGPS network to other fields. From this trend, it can be expected that the integrity and related functions for the NDGPS users will become more important than before. This paper analyzes integrity informations about the real GNSS fault and proposes method on integrity monitoring improvement of the DGPS reference station.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.19-23
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• 2017

Energy is a vital resource for the economic growth and the social development for any country. As the industry becomes more sophisticated and the economy more grows, the electricity demand is increasing. So forecasting electricity demand is an important for electricity suppliers. Forecasting electricity demand makes it possible to distribute electricity demand. As the market for Negawatt market began to grow in Korea from 2014, the prediction of electricity consumption demand becomes more important. Moreover, power consumption forecasting provides a way for demand management to be directly or indirectly participated by consumers in the electricity market. We use Genetic Algorithms to predict the energy demand of the fishing industry in Jeju Island by using GDP, per capita gross national income, value add, and domestic electricity consumption from 1999 to 2011. Genetic Algorithm is useful for finding optimal solutions in various fields. In this paper, genetic algorithm finds optimal parameters. The objective is to find the optimal value of the coefficients used to predict the electricity demand and to minimize the error rate between the predicted value and the actual power consumption values.

• Journal of Platform Technology
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• v.8 no.3
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• pp.22-29
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• 2020

The 4th industrial revolution is progressing by country as a mega trend that leads various technological convergence directions in the social and economic fields from the initial simple manufacturing innovation. The epidemic of infectious diseases such as COVID-19 is shifting digital-centered non-face-to-face business from economic operation, and the use of AI and big data technology for personalized services is essential to spread online. In this paper, we analyze cases focusing on the application of artificial intelligence technology, which is a key technology for the effective implementation of the digital new deal promoted by the government, as well as the major technological characteristics of the 4th industrial revolution and describe the use cases in the field of disaster response. As a disaster response use case, AI assistants suggest appropriate countermeasures according to the status of the reporter in an emergency call. To this end, AI assistants provide speech recognition data-based analysis and disaster classification of converted text for adaptive response.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.299-319
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• 2022

Since 2010, there have been phenomena that the recession of key industries has spreaded into a regional crisis, affecting the overall regional economy in Korea. The purpose of this study is to analyze how the regional industrial structure and manufacturing competitiveness has been changed in Gunsan, which is in crisis due to the decline of the shipbuilding and automobile industries. As a result, the pace of change in industrial structure of Gunsan has accelerated, and this is because the mass employment released from the key industries has been absorbed into other industries, but there were no manufacturing fields that could replace the recession of the key industries. Among the manufacturing of Gunsan, the degree of specialization of the basic industries has been gradually weakened, and in addtion, the weakening of location competitiveness has brought a negative impact on the growth rate differential of the manufacturing. It is necessary to closely examine changes in characteristics of regional industrial structure for Gusan to find an alternative direction in order to respond to the manufacturing crisis.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.155-168
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• 2022

Purpose - Although the government and civic groups do not always confront each other over the Me Too movement, the two stakeholders are often conflicted. For example, the two interested parties may have different positions in the gender conflict and be often hostile due to debates over how to institutionalize and distinguish actual harm from innocence. In this situation, the strategies of the two stakeholders for their own ends are inevitably interdependent. This paper is a study on the strategic reciprocity of interested parties in relation to the Me Too Movement, which has recently raised a new discourses in our society. Design/methodology/approach - We derive equilibrium of the reciprocity between civic groups(collectively referred to as the Me Too Movement Headquarters) leading the Me Too Movement and government that must preemptively respond to new social issues, and analyze how changes in some external conditions affect the reactions of the two stakeholders. For this purpose we rely on economic methodology. Findings - In the reciprocity between the two forces, we derive an equilibrium composed of the pair of the government's optimal response level and the civic group's optimal strategy, and further derive the comparative static results according to changes in external conditions. Analysis results are mixed with intuitive results and non-intuitive ones. However, even if the result is not intuitive, rational reasoning is possible as long as it is derived through a rigorous model, and it has several implications. Research implications or Originality - Although this study is a positive approach, it is meaningful as a starting point to explore practical discussion directions and alternatives by adding another new perspective and approach to research in other social science fields with many normative studies.