• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.76-86
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• 2006

다양한 데이터 마이닝 기법들의 발전과 더불어, 속성(Feature 또는 Attribute)의 범위(Dimension)를 줄이기 위해 많은 요소 선택 방법이 개발되었다. 이는 확장성(Scalability)을 향상시킬 수 있고 학습 모델(Learning Model)을 더욱 쉽게 해석할 수 있도록 한다. 이 논문에서는 네스티드 분할(Nested Partition, 이하 NP)을 이용한 새로운 최적화 기반 속성 선택 방법을 NP 기본 구조와 다양한 실험 문제의 수치적 결과들과 함께 제시하여 어떻게 NP의 최적화 구조가 속성 선택 과정에 기여를 하고 있는지 보여준다. 그리고 이 새로운 지능적인 분할 방법이 어떻게 매우 효율적인 분할을 수행하는지를 제시한다. 이 새로운 속성 선택 방법은 필터(Filter)방법과 래퍼(Wrapper)방법 두 가지로 구현될 수 있다. 사례 연구로서, B2B e-비즈니스 시스템에서 효과적으로 사용될 수 있는 추천 시스템(Recommender System)을 제안하였다. 이 추천 시스템은 분류 기법(Classification Rule)과 제시된 NP 기반 요소 선택 방법을 사용하고 있다. 이 추천 시스템은 사용자의 인터넷 경매 참여를 추천하는데 사용되며, 이 때 제안된 요소 선택 앨고리듬은 추천 규칙들이 쉽게 이해될 수 있도록 모델을 간략화 하는데 사용된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1159-1162
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• 2002

다수에 의한 다수에 대한 P2P 전자경매 시스템에 대한 모델과 Java 의 Jini 기술을 기반으로 하는 구축방안에 대하여 기술한다. Jini Service 형태로 네트웍에 공개되는 모든 전자경매 진행관련 정보에 대한 검색과 입찰 처리과정을 자동화 할 수 있을 뿐만 아니라, 네트웍 문제 발생에 대한 자동복원, 참가 이후 신규 공개되는 정보에 대한 비동기 자동 확인, 그리고 ACID 개념을 보장하는 트랜잭션 관리 등이 가능하다. 다양한 MIME 타입을 지원하는 컨텐츠와 EJB 를 활용할 경우 유선 및 무선 정보화장치를 통하여 모델에 참여할 수 있으며, 수동 접속된 특정 서버의 제공 정보 및 절차에 제한 받지 않는다.

• Journal of the Korea Society for Simulation
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• v.15 no.3
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• pp.11-21
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• 2006

Importance of and need for grid resource management have accelerated in accordance with increasing development of grid computing. However, it is very complex to distribute and utilize resources efficiently in geographically dispersed environments. This is due to the different access policies and constraints of grid resource owners. Users request resources according to their needs. Operators of a grid computing system need to be able to monitor the system states for reflecting these demands. So, a grid computing system needs a resource management policy that monitors states of resources and then allocates resources. This paper proposes a user demand-based grid trade management model that provides an efficient resource management by the trade allocation based on a users' demand and providers' supply strategy. To evaluate performance, this paper measures increasing rate of resource trades, average response time of trades, and processing time utilization. Firstly, the average increasing rates of trade are 585.7% and 322.6% higher than an auction model and a double auction model. Secondly, the average response time of the user demand-based grid trade management model is maintained between 3 and 5 simulation time. Finally, it is found that the processing time utilization is an average of 145.4% and 118.0% higher than an auction model and a double auction model. These empirical results demonstrate the usefulness of the user demand-based grid trade management model.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.7
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• pp.855-861
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• 1999

In this paper, we present new application for the auction method which has been based on one-chip microprocessors. We develop the portable wired terminal for market blocker. And, using that, the recommended price of products is able to push into and show the information of action status. Through our research, using EAS(Electronic Auction System), we can prevent supplier from blocker's rigging the market, because anyone who have a qualification for the action blocker is able to participate in action.

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.601-608
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• 2001

The automated assignment of multiple tasks to executing agents is a key problem in the area of multi-agent systems. In many domains, significant savings can be achieved by reallocating tasks among agents with different costs for handling tasks. The automation of task reallocation among self-interested agents requires that the individual agents use a common negotiation protocol that prescribes how they have to interact in order to come to an agreement on "who does what". In this paper, we introduce the multi-agent Traveling Salesman Problem(TSP) as an example of task reallocation problem, and suggest the Vickery auction as an interagent negotiation protocol for solving this problem. In general, auction-based protocols show several advantageous features: they are easily implementable, they enforce an efficient assignment process, and they guarantce an agreement even in scenarios in which the agents possess only very little domain-specific Knowledge. Furthermore Vickrey auctions have the additional advantage that each interested agent bids only once and that the dominant strategy is to bid one′s true valuation. In order to apply this market-based protocol into task reallocation among self-interested agents, we define the profit of each agent, the goal of negotiation, tasks to be traded out through auctions, the bidding strategy, and the sequence of auctions. Through several experiments with sample multi-agent TSPs, we show that the task allocation can improve monotonically at each step and then finally an optimal task allocation can be found with this protocol.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1999.12a
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• pp.57-64
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• 1999

본 논문은 국내 D백화점을 중심으로 정보공학 기법을 적용하여 쇼핑몰을 구현하였다. 데이터 설계와 기능설계는 데이터 모형 및 프로세스 모형을 적용하였고, 클라이언트/서버 모델은 IMAGE 서버를 구축하였다. 쇼핑몰에서 제공되는 기능은 물류 배송시스템, 시스템관리, 코드관리, 매장관리, 상품관리, 주문관리, 결제관리, 반품관리, 정산관리, 회원관리, 경매관리, 벼룩시장, DM관리, SMS관리, 고객소리함등이다. 카드사용은 자사카드 및 타사카드 모두 가능하도록 하였다.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.147-163
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• 2004

For the purchase of a cheaper product on the Internet, many customers have been trying to search online shopping mall sites and visit comparison-pricing shops that compare prices and other criteria of the product. Others have been participating into online auction markets or group-buying markets. However, a lot of online shopping malls, auction markets, and group-buying markets provide the same product with different prices. Since these marketplaces have different price settlement mechanism, it is very difficult for the customers to determine marketplace to purchase, considering different kinds of marketplaces at the same time. To overcome such limitations, decision rules and solution procedures for purchase decision making are necessary, which can cover multiple marketplaces simultaneously. For this purpose, purchase decision making in each market must be conducted to maximize customer's utility, and conflicts with other marketplaces must be resolved. Therefore, we have developed the rules and methods that can negotiate cooperatively the purchase decision making in several marketplaces, and designed an architecture of Intelligent Buyer Agent and a message structure to support the idea.

• Environmental and Resource Economics Review
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• v.13 no.2
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• pp.271-300
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• 2004

We investigate the two recent simulations of the proto-type domestic carbon emission trading system in Korea and draw some policy implications. The first simulation includes the 5 electric power companies based on baseline and credit. But the second one is with the 7 energy-intensive companies based on cap and trade. The voluntary approaches in this paper revealed the instability of market equilibrium, i.e., price volatility or distortion, excess supply or demand. These phenomena stems from excess incentives to the players, asymmetric information, players' irresponsible strategic behaviors, and non acquaintance of trading system. This paper suggests the basic design for domestic carbon trading system in future and a stepwise introduction strategy for it including the incentive auction scheme, the total quantity of incentive needed, and how to finance it. Meantime, the further simulations on the various sectors based on voluntary participation must be essential for learning experiences and better policy design.

• The Journal of Society for e-Business Studies
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• v.12 no.4
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• pp.29-36
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• 2007

Recently, Jaiswal et al. proposed a protocol to improve the multi-agent negotiation test-bed which was proposed by Collins et al. Using publish/subscribe system, time-release cryptography and anonymous communication, their protocol gives an improvement on the old one. However, it is shown that the protocol also has some security weaknesses: such as replay data attack and DOS (denial-of-service) attack, anonymity disclosure, collusion between customers and a certain supplier. So proposed protocol reduces DOS attack and avoids replay data attack by providing ticket token and deal sequence number to the supplier. And it is proved that the way that market generates random number to the supplier is better than the supplier do by himself in guaranteeing anonymity. Market publishes interpolating polynomial for sharing the determination process data. It avoids collusion between customer and a certain supplie

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2003.07a
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• pp.317-326
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• 2003

원예산물은 출하과정에서 외관과 내부품질에 따라 분류되고, 그 결과에 따라 상품성과 가격이 결정된다. 수박의 경우에도 품질이나 가격은 크기, 무게, 외피모양, 타격할 때 나는 반사음, 촉감 등에 따라 결정되는데, 주로 경매사 또는 감별사의 경험이나 표본검사에 의존하고 있다. 최근 과실류에 비해 크고 껍질이 두꺼운 수박, 메론 등의 내부품질을 비파괴ㆍ실시간으로 판정하기 위한 연구가 국내외에서 활발히 수행중이다. 특히 X-선, 음파, 근적외선 등을 이용하여 숙도, 공동, 당도, 밀도 등을 신속히 검출하기 위한 연구가 대부분을 차지하고 있다. (중략)