• Journal of Institute of Control, Robotics and Systems
• /
• v.12 no.12
• /
• pp.1184-1190
• /
• 2006

Most chemical companies try to maximize their energy efficiencies due to high oil price and reinforcement of environmental regulation. An individual factory continuously has tried to reduce energy consumption or carbon dioxide discharge for high profit. Nevertheless, it is found that waste heat is disposed with forms of low or medium pressure steams. It can be improved by the aspect of entire industrial complex. Therefore, we have developed a steam network optimization method using Steam Networking Matrices(SNMs) in this research. Results from an illustrative example show that energy consumption can be reduced by optimizing steam exchange networks.

• Asia-Pacific Journal of Business
• /
• v.9 no.1
• /
• pp.39-55
• /
• 2018

Exports play an important role in Korea's economy and industry. Korea's share in world trade is also increasing. Governments and trade organizations are making great efforts to promote exports. However, since SMEs lack resources of enterprises, SMEs have a lot of difficulties in increasing exports compared to large enterprises. For this reason, in this study, we analyzed the difference of perception of export difficulties according to characteristics of small and medium export companies. As a result, four factors such as overseas market information, price and cost, competitiveness and regulation of importing country were derived. In addition, we investigated the differences in recognition of export difficulties by the stage of growth of company, period of export, products exported, export department, size of company. There was a significant difference in recognition. Especially, The companies which are the early stages of growth, short export period, finished product, the smaller the size of exports companies are more difficult in export difficulties.

• Journal of Communications and Networks
• /
• v.18 no.4
• /
• pp.658-669
• /
• 2016

The tremendous increase in mobile data traffic coupled with fierce competition in wireless industry brings about spectrum scarcity and bandwidth fragmentation. This inevitably results in asymmetric-valued long term evolution (LTE) spectrum allocation that stems from different timing for twice improvement in capacity between competing operators, given spectrum allocations today. This motivates us to study the economic effects of asymmetric-valued LTE spectrum allocation. In this paper, we formulate the interactions between operators and users as a hierarchical dynamic game framework, where two spiteful operators simultaneously make spectrum acquisition decisions in the upper-level first-price sealed-bid auction game, and dynamic pricing decisions in the lower-level differential game, taking into account user subscription dynamics. Using backward induction, we derive the equilibrium of the entire game under mild conditions. Through analytical and numerical results, we verify our studies by comparing the latest result of LTE spectrum auction in South Korea, which serves as the benchmark of asymmetric-valued LTE spectrum auction designs.

• Proceedings of the KIEE Conference
• /
• 1993.07a
• /
• pp.144-147
• /
• 1993

The long-term electricity resource planning of electric utility has undergone significant change during the past decade. The current resource planning can be considered as multi-objective decision making procedure under the various uncertainties such as demand growth, construction cost, fuel price, environmental regulation, plant site, financial adequacy, new technology advent and so on. This paper presents a standardized electricity resource planning scheme using the strategic planning concept. EGEAS computer model was fully applied to indentify feasible alternative plans and simulate various attribute values corresponding each alternative plan and future. As a case study, a hypothetical long-ten capacity expansion planning problem is analyzed.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
• /
• 2003.11a
• /
• pp.305-309
• /
• 2003

In recent large power plants, the excitation system has the static type, which is characterized by the fast response to increase the transient stability. The high capacity excitation systems developed in KEPRI is either a hot back-up, hybrid hot back-up (analog + digital) or triple modular redundant digital type, both well proven by actual tests and applied in commercial operation. The large excitation systems have been developed taking into consideration the parameters of large scale power plants, resulting in high costs and subsequently are supplied at higher prices. When used at small sized power plants, the cost impact is relatively high. As a countermeasure to such a situation, KEPRI has recently developed a reliable, miniature digital excitation system, which is one-board type, convenient and adequate for low-price, small-sized (0.5MW∼200MW) power plants.

• Asia-Pacific Journal of Business
• /
• v.10 no.4
• /
• pp.197-204
• /
• 2019

The transfer pricing mechanism is a tool commonly used to transfer the tax base from countries with high taxation in countries with low taxation. In many countries, this financial operations generate significant tax revenue losses. In an attempt to limit tax revenue losses, many public authorities have introduced regulations on transfer pricing, but the effectiveness of these rules has proved limited, and they contributed to the increasing complexity of tax laws and to the appearance of additional costs for companies. Historically, transfer pricing (TP) was not a substantial issue in Mongolia. The tax legislation contains basic TP rules, but there is limited guidance and enforcement in practice. At the moment, Mongolian tax authorities are not conducting specific transfer pricing audits. Nevertheless, tax authorities are starting to pay more attention to transactions between related parties and potential transfer pricing adjustments. This study examines a transfer pricing regulations of Mongolia.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.2_2
• /
• pp.315-322
• /
• 2022

Apartments are being established as a universal housing type because of the perception that they are excellent in preservation of asset values and convenience. In this study, through multiple regression analysis, it is a thesis that explores whether it affects the housing market in Gimhae, a small and medium-sized city in the province, and how the price flow in neighboring cities has an effect. It is possible to examine how macroeconomic variables such as the balloon effect and the lowest interest rate caused by the government's tweezers regulation bring about changes in the housing market of small and medium-sized cities in local regions.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.5 no.2
• /
• pp.205-213
• /
• 2010

This study was to analyze the past regime's real estate policy and the time-series data on real estate price index from 1986 to 2009 in 24 years. Also, the real estate index and macroeconomic variables, the impact on house price index variable conducted to regression analysis and to analyze whether and how much is affected. Analyzed as follows: First, Korea's real estate policy was the post-policy and the past regime's real estate policy was inconsistent with each other. Second, in the normal phase whenever real estate issues, the measures of the strengthening regulation and of the economic recovery were only to repeat periodically. Third, the timing and means of policy enforcement was an inappropriate and Real estate market was getting worse at the time whenever a real estate policies performed. Fourth, The apartments prices index of the housing types rose the highest and were the most popular for 24 years. Increase or decrease the amount of the price index for apartments, Roh Tae-woo(65.0%) - Kim Dae-jung (42.5%) - Roh Moo-hyun (32.8%) were in order. Fifth, the results of the regression analysis carried out: The impact on housing prices among independent variables were followed by Cap Construction- one per capita income - Housing consumer price index - Accompanying Composite Index - Trailing Composite Index - Home subscription Subscriber account - Leading Composite Index.

• KIPS Transactions on Software and Data Engineering
• /
• v.12 no.2
• /
• pp.59-76
• /
• 2023

Since the COVID-19 era, the rise in apartment prices has been unconventional. In this uncertain real estate market, price prediction research is very important. In this paper, a model is created to predict the actual transaction price of future apartments after building a vast data set of 870,000 from 2015 to 2020 through data collection and crawling on various real estate sites and collecting as many variables as possible. This study first solved the multicollinearity problem by removing and combining variables. After that, a total of five variable selection algorithms were used to extract meaningful independent variables, such as Forward Selection, Backward Elimination, Stepwise Selection, L1 Regulation, and Principal Component Analysis(PCA). In addition, a total of four machine learning and deep learning algorithms were used for deep neural network(DNN), XGBoost, CatBoost, and Linear Regression to learn the model after hyperparameter optimization and compare predictive power between models. In the additional experiment, the experiment was conducted while changing the number of nodes and layers of the DNN to find the most appropriate number of nodes and layers. In conclusion, as a model with the best performance, the actual transaction price of apartments in 2021 was predicted and compared with the actual data in 2021. Through this, I am confident that machine learning and deep learning will help investors make the right decisions when purchasing homes in various economic situations.

• The Korean Journal of Financial Management
• /
• v.26 no.4
• /
• pp.165-189
• /
• 2009

According to disclosure regulation, insider can hide their trading until disclosure day, because there be interval between trading time and disclosure time. To accommodate strategic trade, they have an incentive to be brought disclosure interval as long as possible. This research investigate whether strategical behaviour of informed traders using disclosure intervals exists in domestic stock market.ls xt, we aney he whether they can get abnormal return through stealth strategy after announcement date. We also evaluate the effect of mimicking trading on price impact with the assumption of existence of mimicking trading. Our major research results are as follows: In case of main shareholder without having no prompt disclosure duty, the frequency of trading started at the beginning of month is shown significantly higher than others. This result shows a direct evidence that informed traders buy or sell their equity strategically using disclosure intervals. Also, we find the result that the coefficient of strategic variables has highest value in middle size information. However, the empirical evidence that informed trader get abnormal return through strategic trading was not shown in this study. Meanwhile, stock price over-reacts for selling transaction on trading point and is recovered after disclosure date., so we assume possibility of mimicking trading exists in domestic stock market.