• Journal of Korea Multimedia Society
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• v.13 no.1
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• pp.153-160
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• 2010

The main goal of general Online games is that the game user gain a high level character. If you want to grow up your character so fast, you need to have proper items. But sometimes users get items in the game that are not fit for the character. For the reason, game's users exchange these items each other. But such a function that serviced in the game is very restricted. To improve dealing function, it is necessary to support various method in the game such as Internet item dealing sites. By providing various service like as auction system service not the general dealing method, it is convenient for game users to deal with their own items. In this paper, by analyzing both function of internet item dealing site and function of item dealing used some domestic on-line game, we are propose the design method of auction type e-commerce that has the each advantage. Using the our proposed method, users can get information rapidly who want to deal with their own items, and deal with items through various functions.

• Journal of KIISE:Databases
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• v.30 no.2
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• pp.209-224
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• 2003

Recent development of electronic commerce enables the use of Electronic Stock Trading Systems(ESTS) to be expanded. In ESTS, information with various sensitivity levels is shared by multiple users with mutually different clearance levels. Therefore, it is necessary to use Multilevel Secure Database Management Systems(MLS/DBMSs) in controlling concurrent execution among multiple transactions. In ESTS, not only analytical OLAP transactions, but also mission critical OLTP transactions are executed concurrently, which causes it difficult to adapt traditional secure transaction management schemes to ESTS environments. In this paper, we propose Secure One Snapshot(SOS) protocol that is devised for Secure Transaction Management in ESTS. By maintaining additional one snapshot as well as working database SOS blocks covert-channel efficiently, enables various real-time transaction management schemes to be adapted with ease, and reduces the length of waiting queue being managed to maintain freshness of data by utilizing the characteristics of less strict correctness criteria. In this paper, we introduce the process of SOS protocol with some examples, and then analyze correctness of devised protocol.

• KDI Journal of Economic Policy
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• v.26 no.1
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• pp.3-33
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• 2004

This paper investigates the effects of inflation on real estate prices, particularly the discrepancy between the sales and chonsei prices of housing, in an economy in which real interest rates are secularly declining due to the fall in capital productivity. When real interest rates fall, real estate prices rise relative to chonsei prices, and thus the well-known adverse effect of inflation, or the discrepancy between the value of financial assets (or chonsei principal) and the value of real assets (or real estate), is aggravated although the monetary authority maintains the same rate of inflation. This theoretical prediction can help explain the trend of the ratio of apartment sales prices to chonsei prices. That is, the stabilization of inflation relative to real interest rates appears to have contributed to the secular stabilization of this ratio in the 1990s, while the fall in real interest rates appears to have led to the rise of this ratio since 2001.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.5-20
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• 2018

This paper aims to analyze characteristic by the cities focused on the ratio of new apartment resale that is one of the apartment unit sale market, which has been increased recently. So, this study examined characteristics of population, apartment trade & sale, housing with 162 cities and counties and performed multiple regression analysis with dependent variable, ratio of new apartment resale. As a result. the factors affecting the ratio of new apartment resale are 7variables, apartment sales rate, transfer of ownership, apartment turnover rate, sale volume, regional apartment rate, population increasing rate, housing average apartment sale price rate. In terms of the increase in apartment sales prices, the rate of sales price increase was relatively low in areas where the transaction rate for apartment sales is high, and the number of apartment sales right transactions increased as the number of other ownership transfers rose. As a result, the data will be based on the improvement of the government's policies and systems to stimulate the transaction focused on the real estate agents in the apartment market.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.55-62
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• 2019

This study analyzed the relationship between housing price, purchase price, Gini coefficient, interest rate, and the employment, considering that the change in housing price was an important factor influencing macroeconomic variables and income inequality. The panel VAR model was constructed considering the panel data, and the Granger causality, Impulse response and Variance dispersion analysis were performed. As a result, when compared to before and after the global financial crisis, it was shown that the rent price had an effect on income inequality, but in the following period, both the rent price and the selling price affected the income inequality. And that it has a large impact on inequality. In addition, the causality between income inequality and employment rate, interest rate, and tax rate was confirmed. Therefore, it is expected that it will be a desirable policy to mitigate income inequality considering the influence of policy variables for economic activation including government real estate policy.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.359-364
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• 2021

Recently, research on predictive systems using deep learning and machine learning of artificial intelligence is being actively conducted. Due to the development of artificial intelligence, the role of the investment manager is being replaced by artificial intelligence, and due to the higher rate of return than the investment manager, algorithmic trading using artificial intelligence is becoming more common. Algorithmic trading excludes human emotions and trades mechanically according to conditions, so it comes out higher than human trading yields when approached in the long term. The deep learning technique of artificial intelligence learns past time series data and predicts the future, so it learns like a human and can respond to changing strategies. In particular, the LSTM technique is used to predict the future by increasing the weight of recent data by remembering or forgetting part of past data. fbprophet, an artificial intelligence algorithm recently developed by Facebook, boasts high prediction accuracy and is used to predict stock prices and cryptocurrency prices. Therefore, this study intends to establish a sound investment culture by providing a new algorithm for automatic cryptocurrency trading by analyzing the actual value and difference using fbprophet and presenting conditions for accurate prediction.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.623-628
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• 2001

정보화 사회로 대두되는 현대사회는 컴퓨터 확산 및 네트워크의 급속한 발전과 더불어 이를 이용한 많은 응용분야들이 연구되고 있으며, 이중 전자투표에 관한 연구 또한 활발히 진행중이다. 이는 기존의 투표 방식을 전자화할 경우 시간 및 비용 측면에서 많은 절약효과를 얻을 수 있기 때문이다. 그러나 이런 효율성에도 불구하고 전자투표를 실제 적용하는데 있어서 투표 참여 요소의 부정 및 투표권 매매와 투표자 익명성 보장 등 아직 해결해야 할 많은 문제점들이 산재해 있다. 따라서 본 논문에서는 기존 투표를 전자투표로 적용시키는 과정에서 필요한 일반적 요구사항과 부정방지 및 매매방지를 위한 특수 요구사항을 살펴볼 것이다. 특히, 투표자 익명성 보장 및 매매방지를 위해 네트워크 상에서 투표내용이 공개되더라도 사용자 익명성을 보장할 수 있는 Magic Sticker 기법을 적용함과 동시에 사용자 인증 및 메시지 인증 부분에서는 자신을 밝히지 않은 상태에서 수신자를 지정하여 자신의 신분을 증명할 수 있는 수신자 지정 그룹 서명 방식을 이용함으로서 사용자 익명성을 제공하는 안전한 전자 투표 방식을 제안한다.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.51
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• pp.79-99
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• 2011

This study describes the seller's duty to deliver the goods in conformity with the contract. The purpose of this study is twofold: to analyze the seller's principal duty, comparing the United Nations Convention on the International Sale of Goods(CISG) with Sale of Goods Act(SGA) and to provide legal and practical advice to contracting parties who consider CISG or SGA as a governing law. This paper first considers the requirements for the conformity with the contract, which means contractual requirements agreed between parties and implied requirements not agreed between parties. Following this, the exclusion of the seller's duty to deliver the goods required by the contract is described. Finally, this paper ends up giving contracting parties legal and practical advice.

• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.330-333
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• 2001

본 연구에서는 쌍방향 시장에서 혼잡 비용의 처리 방법을 제시한다. 이 방법은 쌍방향 시장에서 시장의 참여자들은 혼잡을 고려하지 않고 서로 계약을 하며 만일 혼잡이 발생한다면 Independent System Operator(ISO)가 혼잡을 해결한다는 가정을 전제로 한다. ISO는 혼잡이 발생 시 조정 입찰(adjustment bidding)을 통해 전력을 매매하여 혼잡을 해소한다. 이때 ISO는 전력의 매매 비용을 최소화하도록 하는데 이 매매 비용을 혼잡 비용이라고 부른다. 그러므로 쌍방향 시장에서는 이 혼잡 비용을 시장의 참여자에게 공평하게 배분하는 방식이 중요한 문제이다. 이 문제를 해결하기 위해 여러 가지 방법이 제시되었으며 송전 제약에 대한 라그랑지 승수를 이용하는 방식도 그 중의 하나이다. 그러나 이 방식은 연속 혼잡이 발생하면 참여자에게 혼잡 비용을 정확히 배분할 수 없다. 여기서 연속 혼잡이란 혼잡 선로에 의해 다른 선로에 혼잡이 발생하는 경우를 말한다. 본 연구에서는 직류 조류를 이용한 다단계 방법을 제시하며 이 방법은 연속 혼잡을 단계별로 처리하여 기존의 방법의 문제점을 해결하였고 혼잡 비용이 참여자에게 공평히 배분되도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04b
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• pp.783-786
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• 2001

웹기술에 기반한 전자상거래 시스템은 시간과 공간을 초월한 상품판매를 가능하게 함으로써 새로운 전략적 도구로 떠오르고 있다. 본 논문에서 제시하는 상품 매매 에이젼트 시스템은 주어진 가격에 의해 단지 상품을 팔고 사는 단순 검색시스템이 아니라 판매자와 구매자가 서로 대화하듯이 절충함으로써 양측의 흥정을 최대한 반영할 수 있게 하고, 또한 신선도에 민감한 농축수산물과 같은 매매물품을 시간의 흐름에 따라 가격을 재조절할 수 있는 물품가격조절 모듈을 제시하여 공산품에 한정된 각종 에이젼트 시스템의 단점을 극복하고자 한다.