• Title/Summary/Keyword: Auction System

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A Study on the Improvement Direction of Trading System by Comparing Fishery Products Wholesale Markets between Korea and Japan (수산물도매시장의 한·일 비교를 통한 거래제도 개선방향 연구)

  • Kang, Jong-Ho
    • The Journal of Fisheries Business Administration
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    • v.51 no.4
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    • pp.137-146
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    • 2020
  • In this study, the differences of institutional development processes of fishery products wholesale markets were compared between Korea and Japan in order to suggest improvement direction of trading system in Korea. The wholesale markets have shrunk while wholesale and distribution has been becoming larger in size in both countries. A summary of differences in the wholesale market trading systems between Korea and Japan is as follows: first, middle wholesalers play pivotal roles in wholesale transaction in Korea, and wholesale corporations take such roles in Japan. Second, most wholesale corporations take charge of listing in Korea whereas such corporations are in charge of buying in Japan. Third, Korea has high proportion of auction for transactions, in contrast to Japan with high proportion of relative transactions. Forth, Korea maintains more sales within the wholesale markers and has more small and medium customers than Japan. Finally, Korea investigates inside causes to find solutions for the decreased competitive power of the wholesale market, whereas Japan copes with the problem by searching for outside customers. To seek solutions for the decreased competitiveness of Korean fishery products wholesale markets, middle wholesalers' consignment should be limitedly allowed, and improvement direction of wholesale corporations should be investigated in the future study.

Designing Intelligent Agent System for Purchase Decision Making in Retail Electronic Commerce (전자상거래에서의 소비자 구매의사결정을 지원하는 지능형 에이전트 시스템의 설계)

  • Chu Seok Chin;Hong June S.
    • 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.

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Analysis and Improvement Plan of Cultivation and Postharvest Management Status of Cut Chrysanthemum Farms in Korea (국내 절화국화 재배농가의 재배와 수확 후 관리현황 분석 및 개선 방안)

  • Roh, Yong Seung;Yoo, Yong Kweon
    • FLOWER RESEARCH JOURNAL
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    • v.26 no.4
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    • pp.187-194
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    • 2018
  • This study was conducted to investigate the facilities, cultivation, postharvest management, and distribution status of 27 cut chrysanthemum farms in Korea. The 60% of farms have cultivated the cut chrysanthemum using soil fertigation system in the PE plastic house. In Jeonnam and Busan provinces, Standard type of chrysanthemum was cultivated mainly than spray type of chrysanthemumJeoas. Most farms have been producing the rooted cuttings by plug system using cuttings self-propagated or purchased from the company, but farms in Jeonnam have been planting cuttings directly on cultivation bed. And the 66.6% of cut chrysanthemum farms have been pretreating with dipping in hot water or tap water after harvesting. Precooling was not performed on 70.4% of the farms, and precooling farms have been mainly conducted at temperature of $2-4^{\circ}C$. After harvesting, 70.4% of the farms stored the cut flowers at $2-4^{\circ}C$ for more than 48 hours to control the distribution volume. Cut chrysanthemum was graded mainly by individuals before distribution, and some export farmers have been conducting the cooperative grading. In distribution, all farms have distributed the cut flowers to the domestic markets, and 44.4% of these farms have been also exporting. The 63.0% of farms distributed to domestic market have been trading with flower auction sites.

A study on the improvement of loading and unloading work in laver aquaculture industry (양식 생김의 양륙 작업 개선에 관한 연구)

  • MIN, Eun-bi;YOON, Eun-a;HWANG, Doo-jin;KIM, Ok-sam;YOO, Geum-bum
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.56 no.1
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    • pp.45-54
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    • 2020
  • In this study, an automatic system for improving the working environment and increasing production efficiency of a laver aquaculture industry in Korea was developed by combining a hydraulic control system and a load cell in a current landing work of the laver. The improved gathering laver system allowed the automatic gathering process of the laver in the sea with the hydraulic control system connected to a cutting machine of the laver on the operating ship, which has been used for gathering the laver semi-automatically in a form of the traditional farming method. The transporting process of the laver from an operating ship to the land was improved as follows. A frame installed on the operating ship and the bag nets were designed and made to hold about 1,000 kg of the laver inside. The bag nets contain the laver on the improved operating ship were tied in knots and hooked on a crane using a load cell. The weight is measured immediately by lifting the bag nets through the load cell system. Weight information is communicated to the fishermen and successful bidders through the application. The advantages of the improved system can help fishermen to fish by improving their working environment and increasing production efficiency. The field survey to improve the landing operation of the laver aquaculture was conducted in Gangjin, Goheung, Shinan, Wando, Jindo, and Haenam in South Jeonnam Province. A total of 10 sites including Gunsan in Jeonbuk Province, Daebu Island in Ansan City, Jebu Island in Hwaseong City in Gyeonggi Province, and Seocheon in Chungnam Province were searched to collect data. Prototypes of the system were tested at the auction house of laver located in Goheung, where laver collection using hydraulic control and landing using road cell could be improved.

Detection of Phantom Transaction using Data Mining: The Case of Agricultural Product Wholesale Market (데이터마이닝을 이용한 허위거래 예측 모형: 농산물 도매시장 사례)

  • Lee, Seon Ah;Chang, Namsik
    • 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.

A Study on the Automation of Fish Species Identification and Body Length Measurement System (어종 인식 및 체장 측정 자동화 시스템에 관한 연구)

  • Seung-Beom Kang;Seung-Gyu Kim;Sae-Yong Park;Tae-ho Im
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.17-27
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    • 2024
  • Overfishing, climate change, and competitive fishing have led to a continuous decline in fishery production. To address these issues, the Total Allowable Catch (TAC) system has been established, which sets annual catch quotas for individual fish species and allows fishing only within those limits. As part of the TAC system, land-based investigators measure the length and height of fish species at auction markets to calculate the weight and TAC depletion. However, the accuracy of the acquired data varies depending on the skill level of the land-based investigators, and the labor-intensive nature of the work makes it unsustainable. To address these issues, this paper proposes a fish species recognition and length measurement system that automatically measures the length, height, and weight of eight TAC-managed fish species using the camera of a smart pad that can measure the distance to the water surface. This system can help to automate the current labor-intensive work, minimize data loss, and facilitate the establishment of the TAC system.

A Study on the Development Automatic Placement/Routing System in the PCB (인쇄회로기판 자동배치/배선 시스템 개발에 관한 연구)

  • Kim, Hyun-Gi;Woo, Kyong-Hwan
    • The KIPS Transactions:PartA
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    • v.11A no.4
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    • pp.267-276
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    • 2004
  • The modeling methods of routing region used in the automatic placement/routing system are a grid and non-grid. Because the gird method is curbed by its size and a board if the electrical and physical elements on PCB are of small quantity, it has many memories. Therefore, it has demerit which decreases the speed of automatic placement/routing. The Shape-based type, non-grid method, makes the shapes exist as an in dividual element in a memory by using a region-processing method. Each individual element needs very small memory since it has its unique data size. Therefore, this paper aimed to develope the automatic placement/routing system which can automatically place and route the PCB without dissipation of memory at a high speed. To this aim, the auction algorithm method was applied which can make the memories be most rapidly reached from the original point to various destinations. Also, this system was developed by the Visual C++ in the Widows environment of IBM Pentium computer in order to use it in an individual PC system.

A Study on the Methods to Remedy Consumer Damages Occurring from Transactions through Mail Order Sales Mediating Sites (통신판매중개사이트 거래에서의 소비자피해 구제 방법에 대한 고찰)

  • Yoon, Chang-SuI
    • Journal of Digital Convergence
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    • v.5 no.2
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    • pp.99-108
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    • 2007
  • As the transaction using mail order sales mediating sites such as Auction rapidly increase, consumer damages are also increasing. Therefore, in this study, the methods to remedy consumer damages occurring from transactions through mail order sales mediating sites such as the Payment Deposit System, the systems to resolve disputes without any litigation and the systems in relation to the Consumer Basic Act have been examined and measures to improve the systems have been groped. For the transactions using mail order sales intermediating sites, it is necessary to impose more responsibility on mail order sales mediators although the responsibility may not be required to be at the level of mail order sellers such as internet shopping malls. Therefore, institutional supports are necessary to effectively protect consumers in the transactions using mail order sales mediating sites and to induce damaged consumers to actively file claims for compensations. In relation to this, the Collective Dispute Mediation System and the Consumer Group Litigation System under the Consumer Basic Act may become good examples. The consumers who have been subject to the same or similar damages in the transactions using mail order sales mediating sites should also be allowed to participate in the Collective Dispute Mediation under the Consumer Basic Act or actively utilize the Consumer Group Litigation System. Also, it is desirable to reflect these systems on 'the Act on Consumer Protection in E-Commerce etc' so that these systems can also be directly applied to the transactions using mail order sales mediating sites.

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Optimal Particle Swarm Based Placement and Sizing of Static Synchronous Series Compensator to Maximize Social Welfare

  • Hajforoosh, Somayeh;Nabavi, Seyed M.H.;Masoum, Mohammad A.S.
    • Journal of Electrical Engineering and Technology
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    • v.7 no.4
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    • pp.501-512
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    • 2012
  • Social welfare maximization in a double-sided auction market is performed by implementing an aggregation-based particle swarm optimization (CAPSO) algorithm for optimal placement and sizing of one Static Synchronous Series Compensator (SSSC) device. Dallied simulation results (without/with line flow constraints and without/with SSSC) are generated to demonstrate the impact of SSSC on the congestion levels of the modified IEEE 14-bus test system. The proposed CAPSO algorithm employs conventional quadratic smooth and augmented quadratic nonsmooth generator cost curves with sine components to improve the accurate of the model by incorporating the valve loading effects. CAPSO also employs quadratic smooth consumer benefit functions. The proposed approach relies on particle swarm optimization to capture the near-optimal GenCos and DisCos, as well as the location and rating of SSSC while the Newton based load flow solution minimizes the mismatch equations. Simulation results of the proposed CAPSO algorithm are compared to solutions obtained by sequential quadratic programming (SQP) and a recently implemented Fuzzy based genetic algorithm (Fuzzy-GA). The main contributions are inclusion of customer benefit in the congestion management objective function, consideration of nonsmooth generator characteristics and the utilization of a coordinated aggregation-based PSO for locating/sizing of SSSC.

Marketing Strategy for the Digital Age (디지털시대의 마케팅 전략)

  • 고완기
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.1
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    • pp.90-94
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    • 2001
  • A new word, “Prosumer”, refers to a person who develops and produces goods which they would like to purchase online in real time. Consumers do not simply rely on choosing the good provided by manufactures any more. They are involved in the process of manufacturing good and the creation of organized purchase groups. They aim to purchase the best quality good at the lowest price through reverse auction under the warranty system. If the consumer's way of thinking is controlled by company owners and corporate CEO's profit-centered policy making, the companies will fail to keep pace with the current stream of the digital marketing age, and be destined for failure. I will discuss the changing marketing environment, new marketing strategy, and marketing realization on the internet in this thesis.

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