• The Journal of Information Systems
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• v.14 no.2
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• pp.55-74
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• 2005

In order to purchase a product cheaper, a lot of customers have been trying to search one or more marketplaces. Ever since the commercial use of the Internet, several types of marketplaces have been operating successfully on the Internet. Some of them are online shopping malls, auction markets, and group-buying markets. They have the price settlement mechanisms of their own. Online shopping malls where many stores are located support a customer to purchase the product that matches his/her requests such as price, function, design, and so forth. In online auction market, a customer can buy the product by making bids sequentially and competitively until a final price is reached. In online group-buying market, a customer can purchase the product by aggregating the orders from several buyers so that cheaper prices can be negotiated. The cheaper customers could purchase the same product item, the more satisfied they would be. However, it is very difficult for the customer to determine the marketplace to purchase, considering different kinds of marketplaces at the same time. Even though the purchasing price is cheapest in one marketplace, it is very difficult for customers to convince it the cheapest for all marketplaces. Therefore, rules and methods have been developed for purchase decision making in multiple marketplaces to reach the optimal purchase decision as a whole. They can maximize customer's utility and resolve the conflicts with other marketplaces through multi-agent negotiation.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.759-770
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• 2021

Using a DCC - GARCH model analysis, this paper examines the existence of financial contagion from the U.S. stock market to the Vietnamese and the Philippine stock markets during the global financial crisis and the COVID-19 pandemic crisis. We use daily data from the S&P 500 (U.S.), VN-Index (Vietnam), and the PSEi (the Philippines). As a result, there is no evidence of contagion from the U.S stock market to the Philippine stock market that can be found during global financial crisis, while the Vietnamese market is influenced by this effect. Besides, both these developing stock markets (the Vietnamese and Philippine stock markets) are influenced by the contagion effect in COVID-19 pandemic crisis. Another finding is that the contagion effect during the coronavirus pandemic crisis in Vietnam is smaller than that during the global financial crisis, however, the opposite is the case for the Philippines. It is noticed that the Philippines seems to be more affected by the contagion effect from the COVID-19 pandemic than Vietnam at the time of this study. Because financial contagion is important for monetary policy, asset pricing, risk measurement, and portfolio allocation, the findings in this paper may give some useful information for policymakers and investors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2157-2177
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• 2024

Demand response (DR) refers to the customers' active reaction with respect to the changes of market pricing or incentive policies. DR plays an important role in improving network reliability, minimizing operational cost and increasing end users' benefits. Hence, the integration of DR in the microgrid (MG) management is gaining increasing popularity nowadays. This paper proposes a day-ahead MG scheduling framework in conjunction with DR and investigates the impact of DR in optimizing load profile and reducing overall power generation costs. A linear responsive model considering time of use (TOU) price and incentive is developed to model the active reaction of customers' consumption behaviors. Thereafter, a novel multi-swarm sine cosine algorithm (MSCA) is proposed to optimize the total power generation costs in the framework. In the proposed MSCA, several sub-swarms search for better solutions simultaneously which is beneficial for improving the population diversity. A cooperative learning scheme is developed to realize knowledge dissemination in the population and a competitive substitution strategy is proposed to prevent local optima stagnation. The simulation results obtained by the proposed MSCA are compared with other meta-heuristic algorithms to show its effectiveness in reducing overall generation costs. The outcomes with and without DR suggest that the DR program can effectively reduce the total generation costs and improve the stability of the MG network.

• Proceedings of the KIPE Conference
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• 2019.11a
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• pp.228-231
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• 2019

'계시별 요금제'는 하계·동계·춘추계의 계절별과 경부하·중간 부하·최대부하의 시간대별로 구분하여 전기요금을 차등 적용하는 것을 말한다. 수요관리 및 소비자 선택권 확대 목적으로 미국·영국·프랑스 등 주요국에서 주택용 전기요금의 하나로 시행 주이다. 그러나 국내에서는 산업용, 일반용 소비자에게는 계시별 요금제를 적용 중이지만, 아직까지 주택용 전기요금에는 계시제가 도입되지 않은 상태이다. 하지만 정부가 현재 시행중인 전기요금 누진제도의 대안으로 계절과 시간대에 따라 요금을 부과하는 '계시별 요금제' 도입을 추진할 예정이다. 이는 소비자의 합리적인 전기 소비를 유도해 각 가정의 전기료 부담을 줄이고, 누진제 완화로 악하된 한국전력공사의 재정 부담도 줄이겠다는 취지이다. 그러나 신 요금제 도입에 따른 전기료 인상 논란 여기 이어질 전망이다. 따라서 본 연구에서는 첫째 현행 '누진제 요금제'와 새로 도입될 '계시별 요금제'에 따른 소비자 전기요금의 변화에 대해 살펴보고, 둘째 가정용 ESS 도입에 따른 전기료 절감에 대하여 검토한 후, 마지막으로 계시별 요금제 도입에 따른 효율적인 ESS 도입 및 운영과 시범 적용 예정인 계시별 요금제에 대한 개선 방향에 대하여 간략히 살펴보고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2826-2832
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• 2012

A smart grid is an electric-power grid that employs a new information technology.This technology makes it possible to exchange real-time energy information between suppliers and consumers, finally resulting in high energy efficiency. The energy management system in smart grid provides up to date information on electricity consumption as well as dynamic electricity price to consumers of smart grid system. However, the existing energy management systems only focus on pricing system, for example, real-time electricity prices. In this paper, we try to improve the existing energy management system and propose the energy management system that mainly focuses on the efficiency of electricity consumption. In the proposed management system, PMU(Phasor Measurement Units) installed in switchboards gathers electricity data in a real time. We also propose to use data mining method, which is applied to analyzed electricity data for improving energy efficiency. Also, the proposed energy management system is designed to efficiently control the electricity between PMU and management system in case of a shortage of electricity or surplus electricity.

• The Korean Journal of Financial Management
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• v.24 no.4
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• pp.75-106
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• 2007

In this study, it is analyzed whether oil price plays a major role in the pricing return on Koran stock market and examined why the covariance risk between oil and return on stock is different in each industry. Firstly, this study explores whether the expected rate of return on stock is pricing due to global oil price factors as a function of risk premium by using a two-factor APT. Also, it is examined whether spill-over effects of oil price volatility affect the beta risk to oil price. Considering the asymmetry of oil price volatility, we use the GJR model. As a result, it shows that oil price is an independent pricing factor and oil price volatility transmits to stock return in only electricity and electrical equipment. Secondly, the two step-analyzing process is introduced to find why the covariance between oil price factor and stock return is different in each industry. The first step is to study whether beta risk exists in each industry by using two proxy variables like size and liquidity as control variables. The second step is to grasp the systematic relationship between the difference of liquidity and size and beta to oil price factor by using the panel-data model which can be analyzed efficiently using the cross-sectional data formed with time series. Through the analysis, we can argue that oil price factor is an independent pricing factor in only electricity and electrical equipment having the greatest market capitalization, and know that beta risk to oil price factor is a proxy of size in the other industries. According to the result of panel-data model, it is argued that the beta to oil price factor augments when market capitalization increases and this fact supports the first assertion. In conclusion, the expected rate of return of electricity and electrical equipment works as a function of risk premium to market portfolio and oil price, and the reason to make beta risk power differentiated in each industry attributes to the size.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.597-606
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• 2001

In this paper, we propose the delay sensitive traffic and a high bandwidth QoS service in order to supply real-time traffic such as VoIP, multimedia service. We use IntServ over DiffServ network to supply end-to-end QoS service in the IETF. We define the proposed QoS services which are Best, Good, Default service. We analyze the performance using NS simulator with end to end QoS service in IntServ over DiffServ network. The proposed billing system uses the Accounting, Authentication, Authorization (AAA) functions of RADIUS protocol and proposes the dynamic pricing method according to network usage state using end-to-end QoS of IntServ over DiffServ network. In order to secure billing system, we design and implement audit trail system by the IEEE POSIX.1E standard.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.52-59
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• 2020

Currently, the domestic electricity rates for houses are charged by applying a progressive level according to monthly electricity usage. Electricity rates rise sharply wWhen the amount of electricity used is large, electricity rates rise sharply. The standardized electricity rate progressive system has limitations in that it lacks consideration of the consumers' power usage patterns and limits consumers' their options. Accordingly, the Ministry of Trade, Industry and Energy and the Korea Electric Power Corporation have been demonstrating the basis of a rate system for housing, which is a method of charging electricity according to the amount of electricity used by season and time. In this paper, 10 electricity usage patterns were derived through from AMI data analysis for 5 five years of 362 apartment complexes located in metropolitan cities. The patterns were, and then applied to the existing domestic electricity rate and time-by-time rates applied to demonstrations, and by time-by-time rates in the US and Australia. The effect of the optional rate by pattern was compared and analyzed. As a result, it was confirmed that benefits occurred in five5 patterns compared to existing rate plans, and the electricity rates increased in 5 five patterns, and t. This phenomenon shows the same phenomenon withis the same as the overseas rates, including domestic rates being demonstrated.

• The Research Journal of the Costume Culture
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• v.28 no.3
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• pp.376-388
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• 2020

The purpose of this study was to analyze the current status and contents of color-related education programs as lifelong education and to determine the necessity of color education and directions for future development. The findings of this study, first show that the general welfare center, which is striving to develop abilities and promote welfare, was opened mainly for professional education, rather than hobby-oriented education. Accordingly, pricing was set at a lower level than the three institutions and centers, but without a variety of programs or hobby-oriented courses. Second, as the purpose of the set-up is to be established, the general welfare center should be considered an area for hobbies along with expertise, and various courses should be opened. Although the department store's cultural center focused on programs for cultural and leisure use and promotion, it is necessary to extend the program to attempt to approach it in a short-term process rather than a one-time class. The lifelong education center established as a subsidiary of the university' was opened as an area for of painting such as oil painting and watercolor and drawing which have much in common school should learn and start basic theory and practice, so there was much difference. Third, if it is changed to a developed form of color-oriented education according to the purpose of each center and institution presented in the results of this research, a good response will be possible to further improve the quality of life and develop professionalism and creativity.

• The Korean Journal of Financial Management
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• v.27 no.1
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• pp.209-237
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• 2010

This paper examines the relationship between information risk and equity premium in the Korean stock market. We use accruals quality as a proxy of information risk. Accruals quality (AQ) is estimated by Dechow and Dichev (2002) model, and then AQfactor is constructed based on the estimated AQ. Time-series and cross-sectional regression models are used to examine the relationship between information risk and equity premium, reflecting the critics of Core et al. (2008). The result of the paper shows that information risk proxied by accruals quality is not priced in equity premium in the Korean stock market. This result is consistent with Core et al. (2008) for US firms, but different with Francis et al. (2005) for US firms and Gray et al. (2008) for Australia firms. Also, the result shows that AQfactor is closely correlated with firm characteristic variables such as firm size. This implies that the effect of AQ on equity premium is more likely to arise from the pricing error due to firm characteristics rather than from an unknown risk factor.