• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.27-35
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• 2021

The study intends to identify the effects of infrastructure property on an apartment house by analyzing the price variation affected by factors constituting the quality of the transit services of each individual station in urban railway system based on hedonic price model. The research findings indicate that the prices depending on the transit users have increased from 7.8% to 12.2% in Seoul and decreased from 6.1% to 12.9% in Gyeonggi, which implies that a lower number of transfer users has a positive effect on housing prices in Seoul unlike Gyeonggi. It also is noteworthy that the distance to the urban railway station had a negative effect on housing prices in Seoul and positive effect in Gyeonggi. Taking these results together, in Seoul, the increase in the number of transit users had a negative effect on neighborhood housing prices. When analyzed by segments, however, an additional negative effect was observed only in the apartments located within the radius of 100 meters. It is also found that the impact of transit users varies according to the regional characteristics, such as the density of commercial facilities and the population density, and the spatial extent of negative effect also showed regional differences. These results provide implications for the planning of new stations, new cities, and land use of existing areas around stations.

• Environmental and Resource Economics Review
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• v.17 no.3
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• pp.167-199
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• 2008

There are many successful cases in power interconnection among European and South American countries. However, that is not the case in Northeast Asian countries. Even though there will be a considerable benefit in power interconnection in Northeast Asian countries, there will be some difficulties due to various interest relationship and constraints among countries in Northeast Asia. GTMax(Generation and Transmission Maximization) Program is a very useful tool to analyze competitive electricity market and power interconnection developed by Argonne National Laboratory under the Department of Energy in the USA. This study tried to verify applicability and usefulness by GTMax model to domestic electric power system and power transfer from Russia Far East by power interconnection. When the power by importing from Russia is 2,000MW(around 2% of domestic installed capacity in 2017), there is no impact on domestic electricity market because of small power transfer. The power by importing should be large enough for achieving greater cost reduction by power interconnection. Besides, it would be better to supply power to Kyung-In region directly in reducing overall cost when the power by importing from Russia are sold at low price. In the case of interconnecting Young-Dong region, if it is not possible to upgrade transmission line with power transfer capabilities between Young-Dong and Kyung-In region, then the power by importing from Russia can replace the power produced in Jung-Bu region and the relative benefit of importing power can be reduced.

• Journal of the Korean housing association
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• v.23 no.5
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• pp.61-73
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• 2012

This study applied the value of floor-area-ratio standard calculation method to case areas and analyzed them to overcome the limits of previous studies in calculation methods for area standards and land price (value) standard development rights. The results are presented as follows: First, criteria to select sending areas and receiving areas are needed. Second, calculation methods based on the value of floor-area-ratio standard can be widely used as standardized criteria in various areas. Third, for the connection of sending areas with receiving areas, the connections of 1:1, n:1, 1:n, and n:n are available and the location of possible dealing areas should be considered. Also, the choice of connecting unions that meet the purpose of TDR presented by local governments is available. Fourth, for Gwangju, as receiving areas downtown provide higher profits than previous renewal projects, the application of TDR is available. Application methods to overcome problems are presented as follows: First, criteria to select sending and receiving areas should be prepared and implemented in an order of priority. Second, in calculating development rights, methods based on the value of floor-area-ratio standard should be used. Third, the standards and principles of sending and receiving areas should be designated and possible dealing areas should not be limited.

• Korean Business Review
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• v.11
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• pp.319-341
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• 1998

Transfer pricing is a process for determining the prices of products, technology and services among affiliated companies. Although taxation problems arising from international investment are not now, they have become more important in recent years as a consequence of the growing internationalization of economic activities. So, trans pricing to shift their income and expenses from one country to another has made it difficult for tax administrations to impose tax collectly. Our government also applies arm' length methods to decide equitable tax. In the case of intangibles, because of the characteristics of the market, it is not easy to find the comparable uncontrolled transactions and it is almost impossible to apply cost=plus method or resale price method. This paper treats these problem, examining U.S. regulations and OECD guidelines and analysing the practice of transactions and the application of other methods.

• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.281-285
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• 2008

Effective use of available energy sources is of general concern along with the issues of global warming and unstable oil price. As one of the effort to recover waste heat from industrial facilities effectively, researchers have interest in a technology called organic Rankine cycle(ORC), in which the working fluid is some organic liquid instead of water. Known to have poor efficiency already, this old technology is considered to give an innovative solution to utilizing low grade energy sources, by improving the efficiency. Nano fluidics, coatings and the use of additives are the examples of these efforts. In the present study, we present simulated performance of a horizontal tube type condenser geometry. N-hexanr and isopentane are compared to water vapor case under 1 atm and the inet cooling water temperature of $20^{\circ}C$. EES(Engineering Equations Solver) is used for the present work.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.39-49
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• 2018

Purpose - This present aims to analyze the effect of export modes on initial export amount and time to export by selecting export modes among various success strategies and factors. Research design, data, and methodology - It surveyed 980 small and mid-sized venture enterprises across Korea. The export modes and its impact on exports through frequency analysis and cross analysis, and validated through a PPML(regression analysis applied the enterprise growth model) analysis. Results - Five export modes were investigated : direct export, indirect export, transfer from direct export to indirect export, transfer from direct export to indirect export, and parallel export to indirect export. It was found that SMVEs that exported directly from establishment to initial export had the shortest period, and also had the highest export price Conclusions - From a marketing point of view, it took an average of 1.6 years to switch from export directly to indirect export or directly export, and the reason for the export modes conversion was to supplement export specialists and improve export competitiveness. And the export amount and time period that SMVEs establishes and export is a significant factor in export success strategy and there has been few prior study in export modes.

• Information Systems Review
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• v.6 no.1
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• pp.123-139
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• 2004

It is needed to transfer the technology actively which has already developed to improve a up-to-date technology and foster the technological innovation. The technology transfer also can bring about a commercial success. To promote the technology transfer, it is needed to develop a new technology valuation model for a specific technology from a objective point of view, as well as to equip an institution such as the technology transfer center. The technology valuation from a objective point of view is of importance as the basic information for the price negotiation between a technology-buyer and a technology-seller. This paper takes aim at investigating a new technology valuation model and developing a technology valuation system for promoting the technology transfer. A new technology valuation system is developed as a Web-enabling base. Using this users are able to estimate the value of a specific technology on a real time efficiently.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1D
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• pp.17-23
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• 2009

Due to the rapid increase of vehicles on the street, Korean society is facing worsening traffic congestions and air pollutions. Also, the oil price pickup has led to increasing need for the use of public transportation. In particular, transfering among public transportation may be a main factor for riders who are commuting for a long distance journey. In order to ensure such connectivity, transfer stations have been actively built in Korea. However, it would be necessary to shift those vehicles, from cars to public transportations by enhancing the users' satisfaction with public transportation through strategies for minimizing the users' waiting cost by building an efficient connective system between transportation modes as well as the preparation of aforementioned transfer stations. Therefore, this study aimed to develop an algorithm for minimizing transferring passengers' waiting costs based on service intervals of linked buses within the transfer facilities. In order to adjust the service interval, we calculated the total costs, involving the wait cost of transfer passengers and bus operation costs, and produced an allocation interval, that would minimize the costs. We selected a KTX departing from Seoul station, and a No. 6014 bus route in Gwangmyeong city where it starts from the Gwangmyeong station in order to for verifying the model. Then, the transfer passengers' total waitting cost was reduced equivalent to the maximum of 212 minutes, and it revealed that the model performed very effectively.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.10
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• pp.35-42
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• 2011

WPAN(Wireless Personal Area Network) have many advantages such as using low power and cheap price, small size. So it is recently increasing application range such as personal portable device, home network and sensor network so and on. IEEE 802.15.3 basically has the point to point or peer to peer UM(Usage Model). But using devises that need data transmission is increasing in the house and office. Therefor UM of point to multipoint is proposed. In this paper, I proposed Multicast ACK mechanism on the point to multipoint UM. So it is able to transfer data to multiple devices as this Multicast transfer method at a time. Thus, throughput performance is improved. But the problem that increases data transfer delay is appeared because of adding Multicast ACK traffic. We compared the performance between standard and proposed mechanism through a numerical analysis.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.1-17
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• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.