• Title/Summary/Keyword: Credit value

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Nuclear Criticality Analyses of Two Different Disposal Canisters for Deep Geological Repository Considering Burnup Credit

  • Hyungju Yun;Manho Han;Seo-Yeon Cho
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.20 no.4
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    • pp.501-510
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    • 2022
  • The nuclear criticality analyses considering burnup credit were performed for a spent nuclear fuel (SNF) disposal cell consisting of bentonite buffer and two different types of SNF disposal canister: the KBS-3 canister and small standardized transportation, aging and disposal (STAD) canister. Firstly, the KBS-3 & STAD canister containing four SNFs of the initial enrichment of 4.0wt% 235U and discharge burnup of 45,000 MWD/MTU were modelled. The keff values for the cooling times of 40, 50, and 60 years of SNFs were calculated to be 0.79108, 0.78803, and 0.78484 & 0.76149, 0.75683, and 0.75444, respectively. Secondly, the KBS-3 & STAD canister with four SNFs of 4.5wt% and 55,000 MWD/MTU were modelled. The keff values for the cooling times of 40, 50, and 60 years were 0.78067, 0.77581, and 0.77335 & 0.75024, 0.74647, and 0.74420, respectively. Therefore, all cases met the performance criterion with respect to the keff value, 0.95. The STAD canister had the lower keff values than KBS-3. The neutron absorber plates in the STAD canister significantly affected the reduction in keff values although the distance among the SNFs in the STAD canister was considerably shorter than that in the KBS-3 canister.

Climate Change Policy and Carbon Trading Scheme and in Japan: Features and Lessons (일본의 기후변화 정책과 배출권거래제도: 특징과 시사점)

  • Lee, Soo-Cheol
    • Journal of Environmental Policy
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    • v.9 no.4
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    • pp.77-102
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    • 2010
  • The purpose of this paper is to analyze the Japanese emission trading system and climate change policy thereby contributing to the instituting of similar systems that will be viable for the Korean context. In applying such analyses, it is important to include a careful consideration of cost sharing between stakeholders and firms, an enhancement of the trust worthiness of data concerning greenhouse gases, and an examination of related infrastructure such as emissions authentication agencies and their development. Moreover, it is important to minimize the outflow of domestic resources such as offset credit, green electricity certification system, and ecopoint, making compatible economic growth and carbon reduction thereby encouraging the production and dissemination of 'Environmental Value' as well as connecting 'Environmental Value' to a emission trading system.

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Real-time CRM Strategy of Big Data and Smart Offering System: KB Kookmin Card Case (KB국민카드의 빅데이터를 활용한 실시간 CRM 전략: 스마트 오퍼링 시스템)

  • Choi, Jaewon;Sohn, Bongjin;Lim, Hyuna
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.1-23
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    • 2019
  • Big data refers to data that is difficult to store, manage, and analyze by existing software. As the lifestyle changes of consumers increase the size and types of needs that consumers desire, they are investing a lot of time and money to understand the needs of consumers. Companies in various industries utilize Big Data to improve their products and services to meet their needs, analyze unstructured data, and respond to real-time responses to products and services. The financial industry operates a decision support system that uses financial data to develop financial products and manage customer risks. The use of big data by financial institutions can effectively create added value of the value chain, and it is possible to develop a more advanced customer relationship management strategy. Financial institutions can utilize the purchase data and unstructured data generated by the credit card, and it becomes possible to confirm and satisfy the customer's desire. CRM has a granular process that can be measured in real time as it grows with information knowledge systems. With the development of information service and CRM, the platform has change and it has become possible to meet consumer needs in various environments. Recently, as the needs of consumers have diversified, more companies are providing systematic marketing services using data mining and advanced CRM (Customer Relationship Management) techniques. KB Kookmin Card, which started as a credit card business in 1980, introduced early stabilization of processes and computer systems, and actively participated in introducing new technologies and systems. In 2011, the bank and credit card companies separated, leading the 'Hye-dam Card' and 'One Card' markets, which were deviated from the existing concept. In 2017, the total use of domestic credit cards and check cards grew by 5.6% year-on-year to 886 trillion won. In 2018, we received a long-term rating of AA + as a result of our credit card evaluation. We confirmed that our credit rating was at the top of the list through effective marketing strategies and services. At present, Kookmin Card emphasizes strategies to meet the individual needs of customers and to maximize the lifetime value of consumers by utilizing payment data of customers. KB Kookmin Card combines internal and external big data and conducts marketing in real time or builds a system for monitoring. KB Kookmin Card has built a marketing system that detects realtime behavior using big data such as visiting the homepage and purchasing history by using the customer card information. It is designed to enable customers to capture action events in real time and execute marketing by utilizing the stores, locations, amounts, usage pattern, etc. of the card transactions. We have created more than 280 different scenarios based on the customer's life cycle and are conducting marketing plans to accommodate various customer groups in real time. We operate a smart offering system, which is a highly efficient marketing management system that detects customers' card usage, customer behavior, and location information in real time, and provides further refinement services by combining with various apps. This study aims to identify the traditional CRM to the current CRM strategy through the process of changing the CRM strategy. Finally, I will confirm the current CRM strategy through KB Kookmin card's big data utilization strategy and marketing activities and propose a marketing plan for KB Kookmin card's future CRM strategy. KB Kookmin Card should invest in securing ICT technology and human resources, which are becoming more sophisticated for the success and continuous growth of smart offering system. It is necessary to establish a strategy for securing profit from a long-term perspective and systematically proceed. Especially, in the current situation where privacy violation and personal information leakage issues are being addressed, efforts should be made to induce customers' recognition of marketing using customer information and to form corporate image emphasizing security.

Kalman Filter Estimation of a Company's Intangible Assets

  • Jeong, Ki-Ho;Lee, Chun-Kyung
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.2
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    • pp.45-53
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    • 2002
  • A company's market value-added, which equals the excess of a company's market capitalization over it s book value, is used as one of the measures for intangible assets valuation in accounting literature. One problem with the approach is that the valuation results are affected by severe fluctuations in capital markets. In this paper, we propose an approach using the Kalman filter for intangible assets valuation. We apply this method to data of Korean electronic companies.

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A Study on the Development of a Value-Added Real Estate Information System with a Focus on Marketing Analysis Using Credit Card Data (부가가치화된 부동산 종합정보시스템 개발에 대한 연구 - 신용카드 매출정보를 활용한 상권분석시스템을 중심으로 -)

  • Kim, Sang-Beom;Park, Hwa-Jin
    • Journal of Digital Contents Society
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    • v.7 no.4
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    • pp.227-234
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    • 2006
  • While most of the real estate information provided on the web is simply based on the information of the properties like addresses, locations, prices etc, this paper suggests methodologies for the development of a total information system of real estate which can provide, in an one-stop mode, value-added real estate information contents. The total information system of real estate designed in this paper includes a geological information system using a GIS, a property information system using photos and videos, a systemized legal consulting system, a web call center where customers can communicate with real estate experties on the web and lastly marketing analyses system using credit card data.

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Virtual Credit Card Number Payment System with Stored Hash Value for Efficient Authentication (효율적인 인증을 위한 해시 저장방식의 가상카드번호 결제 시스템)

  • Park, Chan-Ho;Kim, Gun-Woo;Park, Chang-Seop
    • 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.

A Study on the Prediction Model for International Trade Payment Using Logistic Regression

  • Joo, Hye-Young;Lee, Dong-Jun
    • Journal of Korea Trade
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    • v.25 no.2
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    • pp.111-133
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    • 2021
  • Purpose - Although remittance payment in international trade settlements has played a bigger role in recent years, scant research is being done. This study is to zero in on analyzing determinants of international trade payments focused on remittance by constructing a payment prediction model. Design/methodology - This study categorizes the types of trade payments into advance remittance, post remittance, linked remittance, letter of credit, and mixed payment, and analyzes these after constructing a logit model. For empirical analysis, 147 survey data were collected for export manufacturers in Korea, and binominal logistic regression analysis was used to analyze the type of payment method the exporter chooses for trade transactions. Findings - The likelihood of choosing advance remittance increased as the exporters had non-recovery experiences with payments, and decreased as the market power of importers increased. The possibility of post remittance increased when the export amount was large and the character of the buyer was reliable. In the case of linked remittance, it was highly likely to be selected when payment efficiency was important in trade settlement. In addition, when competition among companies in the global market is intense and market uncertainty is high, the possibility of using a letter of credit decreases. It was also found that the greater the export amount, the greater the possibility of choosing advance remittance, and even if the transaction period was longer, exporters using a letter of credit continued to use it. Originality/value - Despite the high proportion of remittances in international trade settlements, it has been hard to find studies that reflect the practical characteristics of remittances. This study classified the types of remittance into advance remittance, post remittance, and linked remittance, and built a trade payment prediction model by adding a letter of credit and mixed payment. In addition, the originality of this study is recognized in that a logistic model was constructed and meaningful results were derived.

A Study on Improving Security Controls in the Electronic Financial Transaction (전자금융거래 시 보안 통제 사항의 개선 연구)

  • Lee, Gangshin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.4
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    • pp.881-888
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    • 2015
  • Financial Authorities have added security controls to the Electronic Financial Transaction Act and the Supervisory Regulation according to the recent frequent personal credit information leakages. Accordingly, the security level has been upgraded. But it is necessary to study more security controls to add. This paper deduces 19 security controls over the mean value to be added to the financial area receiving 15 security consultant's help.

A Comparative Study on ACH and Fedwire as a Cross-Border Payment System (국제전자결제시스템으로서 ACH와 Fedwire의 비교연구)

  • Lee, Byeong-Ryul
    • International Commerce and Information Review
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    • v.10 no.1
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    • pp.139-154
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    • 2008
  • This research want to discuss some issues about payment system of America. This research focuses on comparing ACH with Fedwire. Firstly Fedwire is the payment system for only large-dollar transfer(Large-Value Transfer System; LVTS), while ACH(Automated Clearing House)payment mainly applies a consumer account. Secondly ACH transaction is either credit or debit transfer, while Fedwire is only credit transfer. Thirdly the communication system of Fedwire has twoway method, telephonelike communication network, but ACH is oneway store and forward electronic mail. At present LVTS divides into RTGS(Real-Time Gross Settlement) and DNS(Deferred Net Settlement). However Fedwire uses either RTGS(instantaneous for every transaction) or DNS(net net transaction) but ACH uses only DNS(net net transaction). Fourthly ACH is substantially cheaper than the Fedwire payment. lastly security is important in both Fedwire and ACH, it is even more crucial in Fedwire In addition, for each transaction, Fedwire may entail individual instantaneous confirmation to the originator and notification to the receiver, whereas ACH do not.

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Analysis of Capacity Factors and Capacity Credits for Wind Turbines Installed in Korea (국내 풍력발전 설비의 이용률과 용량크레딧 분석)

  • Paik, Chunhyun
    • Journal of the Korean Solar Energy Society
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    • v.39 no.4
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    • pp.79-91
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    • 2019
  • The capacity credit (CC) is a key metric for mid- to long-term power system capacity planning. The purpose of this study is to estimate the CCs of domestic wind turbines. Based on hourly capacity factor (CF) data during the seven years from 2011 to 2017, the new so-called probabilistic CF scheme is introduced to effectively reflect the variability of CFs on CC estimation. The CCs are then estimated through the CF-based method and the ELCC (Effective Load Carrying Capability) method reflecting the probabilistic CF scheme, and the results are compared. The results show that the CC value 0.019 for domestic wind turbines proposed in the $8^{th}$ Basic Plan for Electricity Supply and Demand corresponds to the CC with a confidence level slightly lower than 95%.