• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.20
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• pp.317-341
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• 2003

The publication International Standard Banking Practice for the Examination of Documents under Documentary Letters of Credit (ISBP) is the product by a task force of the ICC Banking Commission. The ISBP is a practical complement to UCP 500, ICC’s universally used rules on documentary credits. The ISBP does not amend the UCP. It explains, in explicit detail, how the rules are to be applied on a day-to-day basis. It fills a needed gap between the general principles announced in the rules and the daily work of the documentary credit practitioner. By using the ISBP, document checkers can bring their practices in line with those followed by their colleagues worldwide. The result should be a significant reduction in the number of documents refused for discrepancies on first presentation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.4
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• pp.1864-1876
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• 2016

Card-Not-Present (CNP) transactions taking place remotely over the Internet are becoming more prevalent. Cardholder authentication should be provided to prevent the CNP fraud resulting from the theft of stored credit card numbers. To address the security problems associated with CNP transactions, the use of a virtual card number derived from the transaction details for the payment has been proposed, instead of the real card number. Since all of the virtual card number schemes proposed so far are based on a password shared between the cardholder and card issuer, transaction disputes due to the malicious behavior of one of the parties involved in the transaction cannot be resolved. In this paper, a new virtual card number scheme is proposed, which is associated with the cardholder's public key for signature verification. It provides strong cardholder authentication and non-repudiation of the transaction without deploying a public-key infrastructure, so that the transaction dispute can be easily resolved. The proposed scheme is analyzed in terms of its security and usability, and compared with the previously proposed schemes.

• Journal of applied mathematics & informatics
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• v.9 no.1
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• pp.197-211
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• 2002

In this paper, we propose a multi-Criteria decision making approach to address the problem of finding the best possible solution in credit unions. Sensitivity analysis on the priority structure of the goals has been performed to obtain all possible solutions. The study uses the Euclidean distance method to measure distances of all possible solutions from the identified ideal solution. The possible optimum solution is determined from the minimum distance between the ideal solution and other possible solutions of the Problem.

• Nuclear Engineering and Technology
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• v.53 no.1
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• pp.19-29
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• 2021

This paper presents the validation of the MCS code for critical safety analysis with burnup credit for the spent fuel casks. The validation process in this work considers five critical benchmark problem sets, which consist of total 80 critical experiments having MOX fuels from the International Criticality Safety Benchmark Evaluation Project (ICSBEP). The similarity analysis with the use of sensitivity and uncertainty tool TSUNAMI in SCALE was used to determine the applicable benchmark experiments corresponding to each spent fuel cask model and then the Upper Safety Limits (USLs) except for the isotopic validation were evaluated following the guidance from NUREG/CR-6698. The validation process in this work was also performed with the MCNP6 for comparison with the results using MCS calculations. The results of this work showed the consistence between MCS and MCNP6 for the MOX fueled criticality benchmarks, thus proving the reliability of the MCS calculations.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.407-419
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• 2006

In this paper, we analyze household overdue loans in Korea which has been causing serious social and economical problems. We consider customers of Bank A in Korea and focus on overdue cash services which have been snowballing in the past few years. From analysis of overdue loans, one can predict possible delays for current customers as well as build a credit evaluation and risk management system for future customers. As a statistical analytical tool, we propose a two-stage Generalized Linear regression Model (GLM) which assumes a logistic model for presence/non-presence of overdue and a gamma model for the amount of overdue in the case of overdue. We perform goodness of fit test for the two-stage model and select significant explanatory variables in each stage of the model. It turns out that age, the amount of credit loans from other financial companies, the amount of cash service from other companies, debit balance, the average amount of cash service, and net profit are important explanatory variables relevant to overdue credit card cash service in Korea.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.5-15
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• 2015

Electronic transactions have been increasing with the development of the high-speed Internet and wireless communication. However, in recent years financial corporations and mobile carriers were attacked by hackers. And large numbers of privacy information have been leaked. In particular, in the case of credit card information can be misused in the online transaction, and the damage of this given to cardholder. To prevent these problems, it has been proposed to use a virtual card number instead of the actual card number. But it has security vulnerability and requires additional security infrastructure. In this paper, we analyzed the proposed virtual card number schemes. and we propose a new virtual credit card number scheme. In the newly proposed scheme, cardholder generates a key pair (public key/private key) and pre-register public key to the issuer. then, cardholder can pay no additional security infrastructure while still efficiently satisfy the security requirements.

• Journal of Electrical Engineering and Technology
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• v.10 no.5
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• pp.1930-1939
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• 2015

Wind power planning aims to locate and size wind farms optimally. Traditionally, wind power planners tend to choose the wind farms with the richest wind resources to maximize the energy benefit. However, the capacity benefit of wind power should also be considered in large-scale clustered wind farm planning because the correlation among the wind farms exerts an obvious influence on the capacity benefit brought about by the combined wind power. This paper proposes a planning model considering both the energy and the capacity benefit of the wind farms. The capacity benefit is evaluated by the wind power capacity credit. The Ordinal Optimization (OO) Theory, capable of handling problems with non-analytical forms, is applied to address the model. To verify the feasibility and advantages of the model, the proposed model is compared with a widely used genetic algorithm (GA) via a modified IEEE RTS-79 system and the real world case of Ningxia, China. The results show that the diversity of the wind farm enhances the capacity credit of wind power.

• Journal of the Korean Society for information Management
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• v.34 no.2
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• pp.7-26
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• 2017

There has been growing interest in the methods for measuring the credits of individual authors in multi-authored research papers in response to the increase of research collaboration. Having a good understanding for academic norms of individual discipline is essential to measure author credit effectively. However, many Korean universities do not consider different norms for determining the order of authors across disciplines. Rather, they tend to use a standardized method to assess the credits of authors in multi-authored papers. Therefore, this study presented some problems of applying a standardized method to measure author credits in multi-authored papers in economics. The findings of this study confirmed the frequent use of alphabetical author order in economics papers; however, many university guidelines for research evaluation do not take account the alphabetical authorship in measuring the credits of authors. The authors suggest the needs for (1) establishment of a clear definition for primary authors, (2) flexibility in assessment methods for author credit, and (3) empirical research on author credit.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.2
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• pp.377-402
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• 2003

This study aims at analysing basic operational grounds of regional financial institutions in Pusan. Since 1980s many papers have discussed the issues how to develop the regional financial market. But they have neglected regional financial institutions and failed to clarify their roles in the regional economy. Recently the central government expels many regional financial institutions under financial distresses from the regional financial market without assessing their roles in the regional economy. This paper shows that regional financial institutions are indispensible for the stability and development of the regional economy, especially because they can supply credit to the small firms and households which have vulnerable credit standings and are tightly constrained in their access to bank credit. This paper also examines how credit unions deal with the problems caused by asymmetric information after the collapse of solidarity.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.90-102
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• 2018

In preparation of the increase in the domestic debts and the rise in the US interest rate, the Korean government has started to strengthen the regulation on the property market since 2017. So, it is likely that the sales in the domestic construction market would be decreased. Even in the overseas plant projects market, as there has been the continuous increase in the cost and the resulting increase in the losses, it looks hard for the large construction companies to keep their credit ratings as they are now. This study is designed to check Korean government's property policy and any possible problems caused by the overseas and domestic economic environment, which include the property market policy, interest rate, rise in the property price and lackluster sales in housing market. It showed the change in the credit ratings by finding out the sales, work capability, sales in non-governmental projects, operating profits and PF contingency liabilities. For this study, the questionnaires were sent to 30 practical experts to analyze the effect of the risk factor on the outside credit rating of large construction companies.