• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.5
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• pp.497-505
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• 2000

Today people are very interested in an electronic commerce based on web according to the rapid growth of Internet and multimedia technology. Buyers want the special services for themselves as they become more reasonable, wiser and deepening the tendency of personality. But today most electronic commerce only serves the catalog of goods which buyers see and choose shapes and standards of goods. It is needed sale agent using sale clerks' knowledge beyond the level of service only offering the information about goods to satisfY buyers. So in this thesis buyers can buy the goods suiting buyers' taste using ISA(lntelligent Sale Agent), sale clerks in cyber in place of sale clerks in actual shops in real world. The use of this kind of intelligent sale agent makes buyers save the time for searching for goods and do shopping suiting buyers' taste.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.49-56
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• 2011

Leisure bicycles are fabricated in a variety of ways these days. Although, the bicycles are designed and manufactured in a variety of ways by numerous companies, customer has a difficulty in gaining information of bicycle which suits them. Accordingly most of buyers purchase bicycle considering body size. Employing the method is one of the ways to decide bike size on the ground of standard body measurement. However, the method above to purchase bicycle is not appropriate for customer considering his/her body. The research mainly aims to design bicycle which allows buyer to adjust optimal design system by himself/herself considering his/her body size. In addition, a device employing fuzzy controller implemented bicycle run test. Using on the result, the research explored an optimal bicycle system which makes a decision whether a bicycle fits body of customer.

• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.308-316
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• 2004

This paper proposed mediator agent system that guarantees reciprocity to attendances in bilateral negotiations for electronic commerce that is different from regular commercial transactions. The optimal agreement was supposed to provide the total maximum profits and the minimum difference in profits of both attendances in negotiations. In the mediator agent system, mediator agent conducted the negotiations considering multi attributes of product and Multi Attribute Utility Theory(MAUT) was applied to evaluate the profits of buyer and seller. 1'he negotiation model in mediator agent system was transformed into linear programming according to the information of bargain for attendances in negotiations. In order to compare with mediator agent system under the same conditions of reciprocity, another negotiation agent system was implemented using trade-off mechanism that is an algorithm for agent interactions in negotiation. The negotiation agent system using trade-off mechanism did not guarantee the optimal agreement, whereas mediator agent system provided attendances in negotiations with optimal agreement rapidly in comparison with trade-off mechanism.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.81-83
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• 1999

본 논문은 전자상거래에서 판매와 구매방법의 획일화된 검색기법을 이용한 상품의 검색 및 사용자 인터페이스를 지능형 대화 판매 에이전트를 설계함으로써 보다 편리하고 효율적인 사용자 인터페이스를 제공하는 시스템을 설계하였다. 기존 사이버 쇼핑몰에서 구매자의 검색에 의한 방식을 판매자와의 대화에 의한 검색방법으로 전환하여 구매자의 구매의욕을 증가시키고 검색에 소요되는 시간을 절약할 수 있을 뿐만 아니라 구매자 어휘를 분석하고 구매패턴을 파악하여 추가의 수요를 창출 할 수 있는 데이터를 축적하는 방법을 제시하고 많은 고객을 동일한 시간에 상대해야 하는 웹의 전자상거래 시스템에서 판매를 담당하는 에이전트를 설계하게 되었다.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.1-21
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• 2003

As electronic commerce(EC) has grown rapidly, agents that work on the behalf of humans on the Internet are being used actively. However, most of the EC agents have some problems. They fail to fully support buyers' decision making behaviors and sellers' information supply activities. Further, they are not suited for mobile computing environment. In this paper, we introduce a Multi-Mobile Agents System(MMAS) that has been developed according to a conceptual framework that corrects the aforementioned problems. Built by using Tokyo IBM ASDK(Aglets Software Development Kit) for the area of hotel reservation, the system consists of buyer- and seller-side agents that interact with each other; buyer-side agents help buyers to make purchasing decisions by collecting and analyzing information through applying a multi-criteria decision making method, while seller-side agents substitute fur sellers by managing databases and providing real-time information to the buyer-side agents. In this system, multiple agents perform their shared tasks at the same time in order to increase efficiency. Users do not have to keep the connection with the system because they are notified when tasks are done.

• Journal of Distribution Research
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• v.11 no.3
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• pp.23-53
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• 2006

Brands are important in the consumer market. They are the interface between consumers and the company. And consumers may develop loyalty to brands. Also, the late development of industrial marketing explains the near absence of research on brand equity in business to business. With recent change, Industrial companies have shifted from a production focus to a customer focus. Industrial brand is fast developing. The basic purpose of this study is to investigate industrial brand trust and loyalty affecting the result of business relationship between industrial buyers and suppliers. Factors hypothesized to influence trust in a brand include a number of brand characteristics, company characteristics and consumer-brand characteristics. This research presented a comprehensive constructive model consisting of components of industrial brand trust and loyalty, and then propose the research model base on prior researches and studies about relationships among components of industrial brand loyalty Data were gathered from respondents who work in industrial buying center. For this study, Data were analyzed by AMOS 4.0. The results of this research analysis were as fallow. Industrial brand trust and loyalty were positively related with a number of industrial brand characteristics, supplier characteristics and buyer-brand characteristics, relationship commitment. This research newly proposed the concept of industrial brand trust and loyalty affecting the result of business relationship between industrial buyers and suppliers.

• Review of KIISC
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• v.11 no.3
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• pp.90-99
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• 2001

디지털 컨텐츠의 지적 재산권 보호를 위한 디지털 워터마킹 기술이 많이 연구되어져 왔다. 핑거프린팅은 디지털 컨텐츠 지적 재산권 보호를 위한 또 다른 기술로서, 디지털 워터마킹에서는 컨텐츠 내부에 소유권자나 판매권자의 정보 가 삽입되는 반면에, 핑거프린팅에서는 구매자의 정보가 삽입이 된다. 따라서, 핑거프린팅을 이용하면 불법적으로 컨텐츠를 재분배한 구매자가 누구인지 밝혀낼 수 있기 때문에, 구매자들로 하여금 불법적인 재분배하려는 의욕을 저하 시킬 수 있다. 이러한 핑거프린팅 프로토콜 중에서 익명 핑거프린팅 프로토콜은 합법적인 구매자에 대해서는 익명성 을 보장해 주며, 불법적인 재분배자에 대해서만 신원을 밝혀낼 수 있도록 하는 프로토콜이다. 이 논문에서는 현재까지 연구된 익명 핑거프린팅 프로토콜에 대해서 비교 분석하고, 익명 평거프린팅 프로토콜에서 충족되어야 하는 요구사항 들을 살펴본다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.7
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• pp.81-88
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• 2009

Fingerprinting scheme is a technique which supports the copyright protection to track redistributors of digital content using cryptographic techniques. These schemes enable the original merchant to identify the original buyer of the digital data by embedding fingerprints into digital contents. Asymmetric property of fingerprinting schemes is important to keep the buyer's privacy. In this paper, we propose a symmetric encryption based fingerprinting protocol without trusted third party. Our scheme enables the reduction of computational costs for the encryption using symmetric key encryption scheme. Since a trusted third party doesn't take part in making the fingerprint of each buyer, the protocol doesn't need to control the trusted third party and it is more secure against collusion attack.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.14-18
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• 2002

전자상거래가 점차 활성화됨에 따라 다양한 형태의 쇼핑몰들이 구축되고 있으나, 구매자가 상품을 구입하는데 있어 구매자 기호와 요구에 적합한 상품을 검색하기에는 미흡한 실정이다. 따라서, 본 논문에서는 CBR(Case Based Reasoning)과 RBR(Rule Based Reasoning)을 통합한 검색에이전트와 사용자 프로파일과 선호도를 관리하는 사용자 에이전트로 이루어진 멀티 에이전트를 이용하는 CARUBA 시스템을 설계하고, 검색에이전트가 사용자에이전트에서 보낸 정보를 이용하여 유사도를 산출하여 구매자의 요구에 적합한 상품을 신속하게 추천할 수 있는 방법을 제안한다

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.96-98
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• 2000

본 논문에서는 상거래 환경에서 구매자와 비구매자들에 대한 데이터를 학습한 후, 잠재고객들 중에서 구매 확률이 높은 사람을 예측하는 문제에 효율적으로 접근하기 위해 능동적인 데이터 선택 기법을 이용한다. 실험 데이터는 ColL Challenge 2000에서 얻은 데이터로서, 구매자들의 정보보다 비구매자들의 정보가 더 많기 때문에 상당히 균형이 맞지 않는다. 따라서 모든 데이터를 한꺼번에 학습하는 경우에 성능이 좋지 않다. 본 논문에서는 이러한 불균형 분포를 갖는 실제적인 문제에 있어서 성능이 좋지 않다. 본 논문에서는 이러한 불균형 분포를 갖는 실제적인 문제에 있어서 RBF 기반의 신경망을 가지고 능동 학습을 함으로써 기존의 뱃치학습 보다 예측의 정확도를 향상시킬 수 있음을 보인다.