• Journal of Intelligence and Information Systems
• /
• v.20 no.3
• /
• pp.93-108
• /
• 2014

To support business decision making, interests and efforts to analyze and use transaction data in different perspectives are increasing. Such efforts are not only limited to customer management or marketing, but also used for monitoring and detecting fraud transactions. Fraud transactions are evolving into various patterns by taking advantage of information technology. To reflect the evolution of fraud transactions, there are many efforts on fraud detection methods and advanced application systems in order to improve the accuracy and ease of fraud detection. As a case of fraud detection, this study aims to provide effective fraud detection methods for auction exception agricultural products in the largest Korean agricultural wholesale market. Auction exception products policy exists to complement auction-based trades in agricultural wholesale market. That is, most trades on agricultural products are performed by auction; however, specific products are assigned as auction exception products when total volumes of products are relatively small, the number of wholesalers is small, or there are difficulties for wholesalers to purchase the products. However, auction exception products policy makes several problems on fairness and transparency of transaction, which requires help of fraud detection. In this study, to generate fraud detection rules, real huge agricultural products trade transaction data from 2008 to 2010 in the market are analyzed, which increase more than 1 million transactions and 1 billion US dollar in transaction volume. Agricultural transaction data has unique characteristics such as frequent changes in supply volumes and turbulent time-dependent changes in price. Since this was the first trial to identify fraud transactions in this domain, there was no training data set for supervised learning. So, fraud detection rules are generated using outlier detection approach. We assume that outlier transactions have more possibility of fraud transactions than normal transactions. The outlier transactions are identified to compare daily average unit price, weekly average unit price, and quarterly average unit price of product items. Also quarterly averages unit price of product items of the specific wholesalers are used to identify outlier transactions. The reliability of generated fraud detection rules are confirmed by domain experts. To determine whether a transaction is fraudulent or not, normal distribution and normalized Z-value concept are applied. That is, a unit price of a transaction is transformed to Z-value to calculate the occurrence probability when we approximate the distribution of unit prices to normal distribution. The modified Z-value of the unit price in the transaction is used rather than using the original Z-value of it. The reason is that in the case of auction exception agricultural products, Z-values are influenced by outlier fraud transactions themselves because the number of wholesalers is small. The modified Z-values are called Self-Eliminated Z-scores because they are calculated excluding the unit price of the specific transaction which is subject to check whether it is fraud transaction or not. To show the usefulness of the proposed approach, a prototype of fraud transaction detection system is developed using Delphi. The system consists of five main menus and related submenus. First functionalities of the system is to import transaction databases. Next important functions are to set up fraud detection parameters. By changing fraud detection parameters, system users can control the number of potential fraud transactions. Execution functions provide fraud detection results which are found based on fraud detection parameters. The potential fraud transactions can be viewed on screen or exported as files. The study is an initial trial to identify fraud transactions in Auction Exception Agricultural Products. There are still many remained research topics of the issue. First, the scope of analysis data was limited due to the availability of data. It is necessary to include more data on transactions, wholesalers, and producers to detect fraud transactions more accurately. Next, we need to extend the scope of fraud transaction detection to fishery products. Also there are many possibilities to apply different data mining techniques for fraud detection. For example, time series approach is a potential technique to apply the problem. Even though outlier transactions are detected based on unit prices of transactions, however it is possible to derive fraud detection rules based on transaction volumes.

• Journal of Korea Port Economic Association
• /
• v.20 no.2
• /
• pp.235-251
• /
• 2004

China's Marine Industry are growing up gradually as China's economy has advanced. Also China's Sipping Industry has been advanced. China Sipping Company is going to become a top 5 of world marine industry. China's Marine Industry has supervised and controled a manager under the mechanism of market economy. China's Marine Industry has been changed from the state-owned marine enterprise affected by government and government has effected on the formation of the board of directors and manager. So, the supervision function of the board of directors was reduced. The executive' role is emphasized when possessing the state-owned enterprise through disposal or auction, or when inducing the participation of foreign attraction. It is desirable for the Chinese director and officer to prepare for the claims internationally due to the international economic actions, , westernization of the public's consciousness about the compensation for damage followed by the increasing national income, and to prepare the increasing demand of cases due to increasing lawyers.

• Journal of Information Processing Systems
• /
• v.5 no.2
• /
• pp.87-96
• /
• 2009

Grid computing is a new technology which involves efforts to create a huge source of processing power by connecting computational resources throughout the world. The key issue of such environments is their resource allocation and the appropriate job scheduling strategy. Several approaches to scheduling in these environments have been proposed to date. Market driven scheduling as a decentralized solution for such complicated environments has introduced new challenges. In this paper the bidding problem with regard to resources in the reverse auction resource allocation model has been investigated and the new bidding strategies have been proposed and investigated.

• Proceedings of the KIEE Conference
• /
• 2004.11b
• /
• pp.266-268
• /
• 2004

This paper presents the greenhouse gas emission trading scheme which is under progress as a pilot project at the power sector in preparation for UNFCCC. By referring UK's, Emission Trading is introduced incentive auction to maximize the reduction of greenhouse gas emission. At the 1st step, from year 2006 to 2008, only CO2 is regarded as an objective target to decrease but emission credit is excluded with an assumption and only 5 Generation company take part in as participants. The market operating procedure is composed of participants' registration, baseline verification, incentive auction, the registration of initial and yearly allocation, emission trading, yearly emission verification & approval, yearly obligation conformity, carry forward & incentive grant. It can be serve a guideline the whole aspects of emission trading which will start in 2006 including operation, verification and profit sharing.

• Journal of Climate Change Research
• /
• v.9 no.4
• /
• pp.325-342
• /
• 2018

The Korea Emissions Trading Scheme ( K-ETS), which manages roughly 70% of the greenhouse gas emissions in South Korea, was initiated in 2015, after implementation of its 1st basic plan and the 1st allocation plan (2014) for the 1st phase (2015-2017). During the three and a half years since the launch of K-ETS, there have been critical policy change such as adjustment of the institutions involved, development and revision of the 2030 national GHG reduction roadmap, and change in the allocation plans. Moreover, lack of liquidity and fluctuation of carbon prices in the K-ETS market during this period has forced the Korean government to adjust the flexibility mechanism and auction permits of the market stability reserve. To evaluate the policy change in the K-ETS regarding conformance to its objectives, this study defines three objectives (Environmental Effectiveness, Cost Effectiveness and Economic Efficiency) and ten indicators. Evaluation of Environmental Effectiveness of K-ETS suggests that the national GHG reduction roadmap, coverage of GHG emitters and credibility of MRV positively affect GHG mitigation. However, there was a negative policy change implemented in 2017 that weakened the emission cap during the 1st phase. In terms of the Cost Effectiveness, the K-ETS policies related to market management and flexibility mechanism (e.g. banking, borrowing and offsets) were improved to deal with the liquidity shortage and permit price increase, which were caused by policy uncertainty and conservative behavior of firms during 2016-2018. Regarding Economic Efficiency, K-ETS expands benchmark?based allocation and began auction-based allocation; nevertheless, free allocation is being applied to sectors with high carbon leakage risk during the 2nd phase (2018-2020). As a result, it is worth evaluating the K-ETS policies that have been developed with respect to the three main objectives of ETS, considering the trial?and?error approach that has been followed since 2015. This study suggests that K-ETS policy should be modified to strengthen the emission cap, stabilize the market, expand auction-based allocation and build K-ETS specified funds during the 3rd phase (2021-2025).

• The Journal of Fisheries Business Administration
• /
• v.45 no.1
• /
• pp.79-93
• /
• 2014

The Act on Distribution and Price Stabilization of Agricultural and Fisheries Product, which specifies rules and regulations on the trading system of fishery products wholesales markets, has been revised several times, mainly in order to improve the trading system. However, there is still a huge gap between the reality and law when it comes to the trading system of the fishery products wholesale market. This study aims to analyze the problems of the trading system of the fishery products wholesale market and to suggest ways to make improvement. The main problem facing the trading system of the fishery products wholesale market is sales on consignment by intermediate wholesalers, and this paper suggests two alternatives to solve the problem. First, intermediate wholesaler can be converted to market wholesalers, but it also entails other problems. The market wholesaler system has never been successfully adopted in the agricultural and fishery products wholesale market, and it is not clear which system is better between the wholesale market corporation and the market wholesaler system. Second, sales on consignment by intermediate wholesalers can be adopted with a positive view toward it. Negotiation transaction can be carried out for sales on consignment as a transaction method under the current Act on Distribution and Price Stabilization of Agricultural and Fisheries Products. However, since the act cannot provide a solution for listing, it is necessary to introduce Japan's negotiated transaction in advance system as a negotiation transaction method.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2003.05a
• /
• pp.255-263
• /
• 2003

A multi-agent system designed to represent newly deregulated electricity markets in the USA is aimed at testing the capability of the multi-agent model to replicate the observed price behavior in the wholesale market and developing a smart business intelligence which quickly searches the optimum offer strategy responding to the change in market environments. Simulation results show that the optimum offer strategy is to withhold expensive generating units and submit relatively low offers when demand is low, regardless of firm size; the optimum offer strategy during a period of high demand is either to withhold capacity or speculate for a large firm, while it is to be a price taker a small firm: all in all, the offer pattern observed in the market is close to the optimum strategy. From the firm's perspective, the demand-side participation as well as the intense competition dramatically reduces the chance of high excess profit.

• Journal of Convergence for Information Technology
• /
• v.11 no.2
• /
• pp.31-40
• /
• 2021

Blockchain technology is also actively studied in the real estate transaction field, and real estate transactions have various ways. In this paper, we propose a model that simplifies the authentication procedure of auction systems using Ethereum's Ether to solve the problem of offline court auctions. The proposed model is written in Ethereum's Solidity language, the court registers the sale date and the sale date with the DApp browser, and the bidder accesses the address of the individual's wallet created through Metamask's private key. The bidder then selects the desired sale and enters the bid price amount to participate in the auction. The bidder's record of the highest bid price for the sale he wants is written on the Ethereum test network as a smart contract. and creates a block. Finally, smart contracts written on the network are distributed by the court auction manager to all nodes in the blockchain network, and each node in the blockchain network can be viewed and contract verified. As a result of analyzing the smart contracts of the proposed model and the performance of the system, there are fees incurred due to the creation and use of Ether on platforms using Ethereum, and participation. Ether's changes in value affect the price of the sale, resulting in inconsistent fees in smart contracts each time. However, in future work, we issue our own tokens to solve the market volatility problem and commission problem with the value change of Ether, and refine complex court auction systems.

• The Journal of Fisheries Business Administration
• /
• v.12 no.2
• /
• pp.61-71
• /
• 1981

This essay examines the marketing of Fishermen's Cooperative in Korea, and in particular considers the marketing channel of fisheries products, No company can perform by itself all the activities involved in the production and distribution of its products and services to its final markets. It must work with other firm to get the job done. Thus marketing channel firms of the fisheries products include primarily the Fishermen's Cooperative the licensed dealers and tile merchant middlemen, The goal of marketing is in matching of segments of supply and demand. Every producer seeks to the link the marketing channel firms that will help it accomplish its objective best. Therefore this study surveys the three types of marketing channels through tile central market That. is, they are a marketing channel through the terminal market, a marketing channel through the fishermen's cooperative terminal market, and a marketing channel through the private fish market. Consequently the Fishermen's Cooperative can choose to improve in any of tile marketing channel as follows: \circled1 The Fishermen's Cooperative is nominated wholesaler in the terminal market. \circled2 It is abolished to sell by double auction in the production district terminal market and the consuming city terminal market of Fishermen's Coopertive. \circled3 The steady wholesalers in private fish market are entitled to the licensed dealers. \circled4 The Fishermen's Cooperative sponsored voluntary chains join with retailer, supermarkets, consumers' society. Therefore the study of marketing channel of fisheries products can appropriately referred to satisfying needs and wants through exchange process.

• The Journal of Fisheries Business Administration
• /
• v.38 no.3
• /
• pp.89-108
• /
• 2007

The purpose of the study are summarized as follows: First, it has researched the new functions of middleman in Fisheries Port Market. Second, the new functions which middleman have to perform in Fisheries Port Market consist of the origin function, marketing function, logistics function. The origin function consists of the discrimination of fish species and freshness, making the price by auction, financing, etc. Marketing function consists of various species assortment from not only fisheries port market but also non fisheries port market as frozen and import fish markets, finding the new selling markets as not broker but wholesaler, making the price and margin non through the action, processing, etc. Logistics function consist of fish stock, delivery Third, it has recognized the upcoming important problems by building up the new functions as middleman in Fisheries port Market. This study has used a questionnaire to verify 3 hypotheses. Research model, factor analysis, regression analysis. The result of this study are summarized as follows: The origin function influences positively on the effectiveness of middleman's performance in Fisheries port Market. Marketing function influences positively on the effectiveness of middleman's performance. However, logistics function did not directly influences on the effectiveness of middleman's performance.