• 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.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.81-93
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• 2022

The stock investing is one of the most popular investment techniques. However, since it is not easy to obtain a return through actual investment, various strategies have been devised and tried in the past to obtain an effective and stable return. Among them, the volatility breakout strategy identifies a strong uptrend that exceeds a certain level on a daily basis as a breakout signal, follows the uptrend, and quickly earns daily returns. It is one of the popular investment strategies that are widely used to realize profits. However, it is difficult to predict stock prices by understanding the price trend pattern of stocks. In this paper, we propose a method of buying and selling stocks by predicting the return in trading based on the volatility breakout strategy using a bi-directional long short-term memory deep neural network that can realize a return in a short period of time. As a result of the experiment assuming actual trading on the test data with the learned model, it can be seen that the results outperform both the return and stability compared to the existing closing price prediction model using the long-short-term memory deep neural network model.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.281-292
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• 2014

As the importance of algorithm trading is getting stronger, researches for artificial intelligence (AI) based trading strategy is also being more important. However, there are not enough studies about using more than two AI methodologies in one trading system. The main aim of this study is development of algorithm trading strategy based on the rough set theory that is one of rule-based AI methodologies. Especially, this study used genetic algorithm for optimizing profit of rough set based strategy rule. The most important contribution of this study is proposing efficient convergence of two different AI methodology in algorithm trading system. Target of purposed trading system is KOPSI200 futures market. In empirical study, we prove that purposed trading system earns significant profit from 2009 to 2012. Moreover, our system is evaluated higher shape ratio than buy-and-hold strategy.

• 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.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.241-249
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• 2016

This study focuses on Korean independent documentary Unnie dealing with prostitution in Korean society. Not only does it discuss profuse discourse about Unnie such as politics of the film, Korean independent documentary as a tool of struggle, an organized narrative for anti-prostitution and social power of the film but also it deals with prostitution matters related with the film such as prostitute rights, anti-prostitution and pro-prostitution. And it diagnoses possibilities of modifying audiences' recognition and participatory spectatorship with Unnie, conducting a survey of 202 undergraduates.

• Korea Trade Review
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• v.42 no.6
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• pp.1-25
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• 2017

This is a comparative and analytical study which comprises of the analysis of the rules of the seller's liability for non-conforming goods of four legal systems under the CISG and the CESL. A purpose of this study is to examine all the rules as to, first, the concept and the nature of the seller's duty to deliver the goods in conformity with the contract, second, the contents of the seller's duty to deliver the goods in conformity with the contract, third, the time when the goods must be in conformity with the contract and the cases where the seller is exempted from his liability for non-conforming goods. Another purpose is to compare the rules of the CISG with those of the CESL, and to evaluate them in light of the discipline of comparative law. This is for the purpose of facilitating the systematic development and reform of one jurisdiction by any solution from the other jurisdiction found by the comparative study. In addition, this study provides legal and practical advice to the contracting parties when they intend to use one of those regimes in their contract as a governing law.

• 한국보건간호학회:학술대회논문집
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• 2005.06a
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• pp.177-177
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• 2005

• 한국무역상무학회:학술대회논문집
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• 2001.12a
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• pp.117-134
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• 2001

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.3D
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• pp.477-487
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• 2011

The modified repeat-sales model is employed in this study in order to identify differentiating impacts of time-varying accessibility characteristics on housing price. The results demonstrate that accessibility measures have very differential impacts on housing price over time. The improvement of accessibility through newly built facilities and apartment complex has either increased or decreased housing price. For example, the new subway line 9 has positive impact on housing price nearby, therefore price gap between subway access area and the other parts has been increased. The impact of the wide area facilities such as shopping center and hospital are decreased because they can be used more easily by the new subway line before. However, the small service area facility such as elementary school doesn't lose their impact even though subway accessibility extremely increased. The results imply that new facilities in existing residential site can affect not only housing price but also the other facilities' impact of housing price.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.2
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• pp.245-256
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• 2024

Since 2020, quantitative easing and easy money policies have been implemented for the purpose of economic stimulus. As a result, real estate prices have skyrocketed. In this study, the relationship between sales and rental prices by housing type during the period of soaring real estate prices in Busan was analyzed spatio-temporally. Based on the actual transaction price data, housing type, transaction type, and monthly data of district units were constructed. Among the spatio-temporal analysis models, the SpVAR, which is used to understand the temporal and spatial effects of variables, and the GSTAR, which is used to understand the effects of each region on those variables, were used. As a result, the sales price of apartment had positive effect on the sale price of apartment, row house, and detached house in the surrounding area, including the target area. On the other hand, it was confirmed that demand was converted to apartment rental due to an increase in apartment sales prices, and the sale price fell again over time. The spatio-temporal spillover effect of apartments was positive, but the positive effect of row house and detached house were concentrated in the original downtown area.