• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.191-200
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• 2015

The purpose of this study is to analyze the difference of educational institutions and majors on Learning Participatory Motivation of Lifelong Education Organizations of Universities and Job Technical Colleges that are operating academic degrees on bachelor of fashion and associate of industrial arts in Academic Credit Bank System. The significance of this study is to provide basic information for educational institutions to promote efficient operation and devise a strategy for reinforcing educational competitiveness according to individual Learning Participatory Motivation and purpose of learners. In this study, educational institutions were classified into Lifelong Education Organizations of Universities and Job Technical Colleges operating academic degrees in Academic Credit Bank System. Degrees were divided into bachelor of fashion and associate of industrial arts, and majors were divided into fashion design and fashion business for bachelor of fashion and fashion design and fashion business for associate of industrial arts. Looking at Learning Participatory Motivation of learners, factors selected by learners as considerations for registration and selection of currently affiliated educational institution were found to be 'acquisition of degree at a university' and 'acquisition of degree' for Lifelong Education Organizations of Universities and fashion design major, and 'for employment' and 'acquisition of new knowledge and skill' for Job Technical Colleges and fashion business major.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.6
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• pp.923-933
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• 2016

This paper proposes a new method for evaluating Effective Load Carrying Capability(ELCC) and capacity credit(C.C.) of power system including Wind Turbine Generator(WTG) combined with Battery Energy Storage System(BESS). WTG can only generate electricity power when the fuel(wind) is available. Because of fluctuation of wind speed, WTG generates intermittent power. In view point of reliability of power system, intermittent power of WTG is similar with probabilistic characteristics based on power on-off due to mechanical availability of conventional generator. Therefore, high penetration of WTG will occur difficulties in power operation. The high penetration of numerous and large capacity WTG can make risk to power system adequacy, quality and stability. Therefore, the penetration of WTG is limited in the world. In recent, it is expected that BESS installed at wind farms may smooth the wind power fluctuation. This study develops a new method to assess how much is penetration of WTG able to extended when Wind Turbine Generator(WTG) is combined with Battery Energy Storage System(BESS). In this paper, the assessment equation of capacity credit of WTG combined with BESS is formulated newly. The simulation program, is called GNRL_ESS, is developed in this study. This paper demonstrates a various case studies of ELCC and capacity credit(C.C.) of power system containing WTG combined with BESS using model system as similar as Jeju island power system. The case studies demonstrate that not only reasonable BESS capacity for a WTG but also permissible penetration percent of WTG combined with BESS and reasonable WTG capacity for a BESS can be decided.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.163-169
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• 2022

According to the Credit Information Act, in order to protect customer information by relationship of credit information subjects, it is destroyed and stored separately in two stages according to the period after the financial transaction effect is over. However, there is a limitation in that the destruction of personal credit information of customers whose financial transaction effect has expired cannot be collectively destroyed when the transaction has been terminated, depending on the nature of the financial product and transaction. To this end, the IT person in charge is developing a computerized program according to the target and order of destruction by investigating the business relationship by transaction type in advance. In this process, if the identification of the upper relation between tables is unclear, a compliance issue arises in which personal credit information cannot be destroyed or even information that should not be destroyed because it depends on the subjective judgment of the IT person in charge. Therefore, in this paper, we propose a model and algorithm for identifying the referenced table based on SQL executed in the computer program, analyzing the upper relation between tables with the primary key information of the table, and visualizing and objectively selecting the range to be destroyed. presented and implemented.

• Knowledge Management Research
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• v.21 no.3
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• pp.229-247
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• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.

• Korean Journal of Adult Nursing
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• v.19 no.4
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• pp.656-669
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• 2007

Purpose: The purposes of this article were to analyze curricula of gerontological nurse practitioner(GNP) programs in the United States, to compare the curricula with Korean GNP programs, and to provide suggestions for better GNP programs in Korea. Methods: Top GNP programs in the United States were identified from the US NEWS and 12 universities were included in the analyses. Class distribution, credit hours, and clinical hours were analyzed and suggestions for Korean GNP programs were made. Results: Average credit hours for class lectures in the US GNP programs were 47 and emphases on physiology, pharmacology, physical assessment, and disease management were identified. Most US GNP programs(75%) provided health concerns for both middle aged and older adults. Not all US GNP programs included 'theory' or 'the introduction to GNP' classes, while these are required classes in the Korean GNP program. The mean clinical hours in the US GNP Programs were 537 which are much higher than those in the Korean GNP program. Conclusion: Based on the analyses, we can conclude that Korean GNP programs are lacking in many ways. Further evaluation and curricula modifications are required to settle down the program better and to have the graduates prepared more as internationally competent nurse practitioners.

• Journal of the Korean Home Economics Association
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• v.45 no.2
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• pp.63-75
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• 2007

The purpose sof this study was to examine consumer's addictive buying through the TV home shopping, focused on materialism, show host and credit card use consumer. Two hundred four female consumers who had purchased fashion items in TV home shopping had participated for this study. For data analysis, descriptive statistics, factor analysis, t-test, and multiple regression were used for the study with SPSS 12.0 program. The result were as follows. First, the addictive buying group was 13.2% among respondents while non-addictive buying group was 86.8%. Second, materialism was classified into 3 factors: happiness, success and possessiveness. Show host was classified into 3 factors such as visual presentation, image and communication skill. Credit card was classified into 3 factors: sales promotion, late payment and method payment. Results of multiple regression revealed that happiness and possessiveness from materialism, credit card late payment, and show host communication skill were significantly related to addictive buying. Based on these results, this study would provide fashion marketing strategies for reasonable and reasonable consuming culture, since addictive buying has been not only individual problem but also social problem. Based on these results, this study would provide fashion marketing strategies for reasonable and reasonable consuming culture, since addictive buying has been not only individual problem but also social problem.

• Knowledge Management Research
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• v.18 no.1
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• pp.67-81
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• 2017

As the important breakthrough continues in the field of machine learning and artificial intelligence recently, there has been a growing interest in the analysis and the utilization of the big data which constitutes a foundation for the field. In this background, while the economic value of the data held by the corporates and public institutions is well recognized, the research on the evaluation of its economic value is still insufficient. Therefore, in this study, as a part of the economic value evaluation of the data, we have conducted the economic value measurement of the data generated through the small business guarantee program of Korean Federation of Credit Guarantee Foundations (KOREG). To this end, by examining the previous research related to the economic value measurement of the data and intangible assets at home and abroad, we established the evaluation methods and conducted the empirical analysis. For the data value measurements in this paper, we used 'cost-based approach', 'revenue-based approach', and 'market-based approach'. In order to secure the reliability of the measured result of economic values generated through each approach, we conducted expert verification with the employees. Also, we derived the major considerations and issues in regards to the economic value measurement of the data. These will be able to contribute to the empirical methods for economic value measurement of the data in the future.

• Knowledge Management Research
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• v.21 no.2
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• pp.21-40
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• 2020

Korea Credit Guarantee Fund(KODIT) is a public financial institution under the provision of the Korea Credit Guarantee Fund Act. Facing the waves of change both locally and globally, KODIT will serve as 'social value creator' in making a paradigm shift from a large corporation(Conglomerate-dominated) economy to a social enterprise-oriented one based on social economy. This study focuses on the supporting service programs for social enterprises and job creation how it affects the performance of social value creation of KODIT. There is currently no detailed research of the social value in terms of the business and management academic agenda. Therefore, the present study describes the importance of social value creation on the policy financial institution. This study conducted in-depth case study for social value performance. As a public policy financial institution, KODIT exert diverse efforts to correct market failure and achieve inclusive growth. For example, KODIT extends credit guarantee services for the liabilities of promising corporations and stimulates financial and non-financial supporting programs for social enterprises. Although the role of social value and social economy has gained business field attention, few investigations have been conducted to explain how social value is achieved. The present study can thus act as the foundation for exploring the social value creation in the circumstances of public financial institution.

• The Journal of Information Technology
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• v.8 no.3
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• pp.159-176
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• 2005

The Purpose of this Article is to analyze the special settlement and electronic settlement system in the international trade. First, Factoring is a fast, easy and flexible way to improve a company's cash flow and generate working capital for the company. Factoring can be short-term or part of an ongoing financing program. New companies can benefit as well, since there is no requirement for a long-term credit history. Second, Forfaiting is a method of trade financing that allows exporters to obtain cash and be free of all risks by selling their medium term receivables on a 'without recourse' basis. Forfaiting can be an alternative to export credit or insurance cover, especially for those transactions in which the export credit agency is not open to a particular country and/or bank. Third, The Bolero System is jointly financed by SWIFT(Society for World International Financial Telecommunications) which handles most of the electronic funds transfer for banks, and the Through Transport Mutual Assurance Association(the TT Club), a mutual insurance association most of whose members are drawn from the Multimodal transport industry or transport intermediaries. Fourth, TradeCard is a payment and settlement system that is an alternative to letters of crdeit. That is, TradeCard is a business-to-business e-commerce infrastructure that enables buyers and sellers to conduct and settle international trade transactions securely over the Internet.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.21-27
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• 2021

The financial sector is one of the most important building blocks of the economy. When this sector efficiently implemented a well-crafted program on banking and financial system to translate financial activities to income-generating activity, economic growth will be realized. Hence, this study analyzed the effect of financial intermediation on economic growth and the existence of cointegrating relationship using time-series data from 1986 to 2015. The influence of financial intermediation in terms of bank credit to bank deposit ratio, private credit, and stock market capitalization and time trend to economic growth was estimated using ordinary least squares (OLS) multiple regression. The results showed that all the financial intermediation indicators and time trend exert significant effect on Gross Domestic Product (GDP) per capita. The positive sign of the time trend indicates that there is an upward trend in GDP per capita averaging approximately 0.06 percent annually. Furthermore, the cointegration test using the Johansen procedure revealed that there is a presence of long-term equilibrium relationship between financial intermediation and time trend and economic growth, and rules out spurious regression results. This study established the idea that financial intermediation in the Philippines has a significant and vital role in stimulating growth in the economy.