• The Transactions of the Korea Information Processing Society
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• v.7 no.5S
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• pp.1620-1628
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• 2000

Existing internet auction systems have adopted the form which gives a win to the auction bidder who proposes the top bid price for the goods posted on the auction board. But they haven't been satisfying the automatical one-step processing for user's convenience because they must require continuous care of user for bidding and checking as well as neglecting the convenience of user interface while participating in the electronic bidding system. The AuctionBot system of Michigan Univ. is known as the representative internet auction system. It has merit allowing the various kids of bidding. But it does not support automatic a process which can replaces what user has to do using an agent. To improve this kind of user interface, we propose an automatic bidding price strategy algorithm which composes the auction system using agent and design for auto-bidding system using agent so that I can replace user's bidding activity. This mechanism gives an auction system the efficient bidding price strategy.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.99-112
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• 2009

The research is to develop U-IT Technology Transfer Re-auction System Model for technology transfer enable transactions of buyer-oriented. The buyer sends condition technology parts and data informations to provider. The First step, The buyer sends condition technology parts and data informations to provider. The Second step, the buyer's technology and conditions in the First step will be transferred to the DB of a provider who can provide that technology. The Third step, a provider can bid after inputting the conditions. The Fourth step, the buyer decides the ranking of successful bids in condition-optimized auction process. The Fifth step, the buyer invites a provider to be a successful bidder. The last step, if there's no successful bid within the period, the sale considered failed. The buyer-oriented re-auction system is that the deal will become extinct automatically when its sale failed more than two times.

• KDI Journal of Economic Policy
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• v.36 no.3
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• pp.61-93
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• 2014

This paper analyzes Onbid car auction data by employing various methods, including structural estimation, to identify main factors which decides auction prices and figure out what effects those factors are making on the auction price. I then discuss on how to maximize sellers' revenue in OnBid car auctions. The government and public institutes sell their assets through the OnBid auction, hence the optimal design of the OnBid auction is important. The paper's main findings are as follows: (ⅰ) The independent private value model explains OnBid car auction data better than the correlated private value model or the interdependent value model; (ⅱ) Both the number of bidders and the ratios of the auction price to the evaluation value were lower in the auctions posted by the Kamco than auctions by institutes other than the Kamco; (ⅲ) Some auctions require that at least two bidders should submit a bid no less than the reserve price for sale. In those auctions, both the number of bidders and each bidder's valuation on the auctioned object were lower than in auctions without that requirement; (ⅳ) The sum of sellers' revenue would be decreased in the simulation with the reserve price higher by 5%, 10%, and 20% across auctions by institutes other than Kamco.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.140-148
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• 2002

컴퓨터를 통해 편리한 생활을 추구해온 인간들은 전자상거래 분야에서도 이러한 욕구를 충족시키기 위해 자동협상이라는 기능을 요구하게 되었다. 지능형 에이전트를 이용한 자동협상은 인간의 거래협상 업무의 부담을 많은 부분을 덜어주고 있어 자동협상 에이전트에 관한 연구들이 활성화되고 있다 소비자간 전자상거래에서는 다수의 자동협상 에이전트 연구들이 경매시장에서의 자동협상에 초점을 맞추고 있는데 반해, 가격 이외의 여러 거래속성을 갖는 상품에 대한 제안기반 협상시장에서의 자동협상 에이전트에 관한 연구들이 최근에 활발히 이루어지고 있다. 본 연구에서는 소비자간 전자상거래에서 거래속성의 변화에 따라 개인의 효용가치의 차이를 이용한 다속성 상품의 제안기반 협상시장이 가져야할 특성에 대해 연구하고, 이를 기반으로 자동 거래협상을 수행에 필요한 거래속성 변화에 따른 소비자 개인의 선호체계를 표현하기 위한 방법을 개발하였다. 그리고 이러한 자동 거래협상을 공정하게 수행하기 위해 협상시장이 가져야할 특징과 프로토콜을 제안하고 시장운영 에이전트 시스템의 구조를 설계하였다. 마지막으로 이러한 분산형 시장구조를 갖는 제안기반의 협상시장에 참여하는 사용자 에이전트 시스템이 최적의 거래상대와 최적의 거래안을 찾기 위한 탐색방법을 구체적으로 개발하였다. 본 연구의 결과를 통하여 소비자간 전자상거래에서 구매자 뿐만 아니라 판매자도 협상결과에 따른 거래로 얻어지는 자신의 효용을 극대화할 수 있는 공정한 협상시장을 운영할 수 있을 뿐만 아니라 사용자들도 손쉽게 자신의 협상 선호체계를 쉽게 표현하고, 표현된 선호체계를 반영한 자동 거래협상을 수행할 수 있을 것 이다. 기존의 UN/EDIFACT표준을 사용하고 있는 EDI환경과 기존 VAN 방식의 EDI 중계 시스템과 연동되며, 향후 관세청의 XML/EDI 표준 시행을 미리 대비하는 선도연구로서 자리매김이 된다. 본 연구에서는 개발된 XML/EDI 통관시스템은 향후, 서비스의 최대 걸림돌이 되어왔던 값비싼 EDI 사용료의 부담에서 벗어날 수 있게 할 것이며, 저렴한 EDI구축/운영 비용으로 전자문서교환의 활성화와 XML이 인터넷 기반의 문서유통 표준으로 자리매김할 수 있는 중요한 계기가 될 것이다.재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without

• Journal of Digital Convergence
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• v.17 no.11
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• pp.61-70
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• 2019

The The government has recently announced its mid- to long-term plans for promoting art. With the advent of the 4th industrial revolution, contemporary art contents that are integrated with Intelligent Information Technologies such as Artificial Intelligence (AI), Virtual Reality (VR), and Big Data are being introduced, and social interest in humanities and creative convergence is rising. In addition, the industrialization of the art market is expanding amid the rising popularity of art among the general public and the growing interest of art as an investment replacement system, along with the strengthening of the creative personality education of our Education Ministry. Therefore, it is necessary to establish a strategy for transparency and revitalization of the art market by providing comprehensive information such as search functions, analysis data, and criticism by writer and price. This paper has established an information system plan for the establishment of an online supply system for art transaction information, providing auction transaction information for art market, providing report and news for art market, providing public relations platform, and providing art market analysis service and membership relationship management service. To this end, the future model was established through environmental analysis and focus analysis of the art market, and strategic tasks and implementation plans were established accordingly.

• Journal of Information Management
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• v.36 no.4
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• pp.71-89
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• 2005

This paper examines the ways of using information resources available through information retrieval systems of portal sites. We analyze the types of information resources, search capabilities, and interfaces of Naver, Empas, and Google Scholar. Naver's retrieval system sells research reports, papers, patents information, etc. to users, which is similar to C2C(Customer to Customer in e-commerce environment). Empas provides information from journals, research reports, and proceedings with no charge. Google Scholar's noteworthy efforts are their collaborative programs with and/or for major U.S. libraries, such as "Library Link" and "Library Project." Considering the extended information retrieval services of portals, especially the services like Google Scholar's library programs, libraries need to develop more specialized services, such as the customized information service for individual user, development of user convenience tools like OCLC WorldCat, more accessibility through ubiquitous library concept, and collaboration among libraries.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.9
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• pp.774-781
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• 2014

Demand for spectrum resources is increasing with the development of mobile telecommunications and so is their economic value. As a way to enhance the economic efficiency of use of spectrum resources, many countries have focused on the management of public and broadcasting spectrums which have traditionally been undercharged compared to their economic values. In this paper, we discuss the economic value valuation of the frequencies for the fisheries communications. The estimated value is the average value of the total equipment cost of the mobile communication services that their service coverage is nation-wide, and the value that adjusted the auction price for the LTE service frequencies in 2011 to the characteristics of fisheries communications.

• The Journal of Fisheries Business Administration
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• v.29 no.1
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• pp.139-159
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• 1998

본 연구는 미국 오레곤주의 수산업 특성을 개괄적으로 살펴본 것이다. 먼저, 오레곤의 상업적 수산업을 역사적으로 살펴보면 2가지 주요한 계기가 있음을 알 수 있다. 첫째는 자급자족 차원에서의 연어생산을 수출품으로 변화시킨 연어통조림 생산기술의 발전이고, 둘째는 현대식 트롤어업이 도입된 점이다. 오레곤에서 주로 사용되는 어구ㆍ어법은 트롤, 채낚기, 연승, 통발, 형망 등이며, 생산어종은 연어, 게, 새우, 참치, 대구 등이다. 1995년 오레곤은 약 2억 4천 파운드의 수산물을 생산하여 미국 연안주중에서 6위를 차지하고 있고, 생산금액에서는 12위를 기록하였다. 한편, 양식업은 아직 성행하지 않아 그 생산품종 및 생산량은 미미한 실정이다. 그 주된 이유 중의 하나는 양식시설을 하기 위해서는 여러 관계기관의 허가를 필요로 하는 등 행정상의 절차가 복잡하기 때문이다. 오레곤의 수산자원관리는 우리나라에 비해 암계의 어획금지, 통발 등 정치어구ㆍ어법에 대한 인망일수의 제한, 조개류의 판매가능시간의 제한 등 몇가지 특징을 들 수 있다. 오레곤의 수산업관리제도(연안으로부터 3마일 이내)를 살펴보면, 아직 TAG제도를 도입하지 않고 있으며 생산요소역입제한방식이 채택되고 있다. 즉, 상업적으로 허용된 어종을 어획하려는 어업자는 등록절차를 필히 거쳐야 어업행위를 할 수 있으며, 등록수를 제한할 필요가 있는 특정한 어업(연어, 새우, 가리비 등)에 대해서는 행정관청으로부터 허가를 얻고 어업행위를 해야 한다. 즉, 허가어업은 등록어업보다 더욱 제한적인 어업행위를 말하며, 허가권에 대해서는 자유로운 매매양도가 허용되어 있다. 수산물의 마케팅시스템에 대해서는 우리나라에 지배적인 형태인 경매제도가 도입되어 있지 않다. 즉, 모든 수산물은 개인적인 거래계약에 의해서 유통된다. 다만 마케팅경로에 참여하고 있는 모든 구성원은 일정한 등록절차를 마쳐야 하며, 주내에서 거래되는 수산물의 일관된 통제나 관리를 위해 관계기관에 거래량을 필히 신고해야 한다. 우리나라의 중도매인은 주로 생산지의 수협(또는 내륙지 도매법인)과 도매상의 사이에 존재하나 오레곤의 중도매인은 마케팅경로 어디에든 존재하고 있다.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.83-91
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• 2021

For agricultural products, supply is irregular due to changes in meteorological conditions, and it has high price elasticity. For example, if the supply decreases by 10%, the price increases by 50%. Due to these fluctuations in the prices of agricultural products, the Korean government guarantees the safety of prices to producers through small merchants' auctions. However, when prices plummet due to overproduction, protection measures for producers are insufficient. Therefore, in this paper, we designed a business model that can be used in the electronic transaction system by predicting the price of agricultural products with an artificial intelligence algorithm. To this end, the trained model with the training pattern pairs and a predictive model was designed by applying ARIMA, SARIMA, RNN, and CNN. Finally, the agricultural product forecast price data was classified into short-term forecast and medium-term forecast and verified. As a result of verification, based on 2018 data, the actual price and predicted price showed an accuracy of 91.08%.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.