• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.465-466
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• 2011

The global trend is to make transmission lines light weight and compact by using insulators and other equipment made of advanced materials. In Korea, the diversification of insulators supply route has begun in order to obtain price competitiveness. In May 1999, polymer insulators were finally introduced for the first time and installed to the 154kV transmission lines. After that, the construction and procurement standards were made and domestic polymer insulators were developed. And then, foreign and domestic manufacturers were registered in KEPCO as qualified insulator suppliers. As of 2010, purchasing polymer insulators by competitive bidding from foreign and domestic manufacturers has been possible. For this reason, it was decided to reduce the use of porcelain insulators and increase the use of polymer insulators taking the installation price into consideration

• Journal of Environmental Health Sciences
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• v.26 no.4
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• pp.38-44
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• 2000

Compared to other waste, waste tire has much discharge quantity and calorie. When we use waste heat from waste tire, it can be definitely better substitute energy than coal and anthracite in high oil price age. To use as a basic data for providing low cost and highly effective heating system, following conclusion was founded. Annual waste tire production was 19,596 million in 1999, Recycling ratio was almost 55% and more than 8.78 million was stored. Waste tire has lower than 1.5% sulfur contain ratio which is resource of an pollution, So it is a waste fuel which can be combustion based on current exhaust standard value without any extra SOx exclusion materials. Waste tire has 9,256Kcal/kg calorific value and it is higher than waste rubber, waste rubber, waste energy as same as B-C oil. When primary and second air quantity was 1.6, 8.0 Nm$^3$/min, dry gas production time was 270min and total combustion time was 360 min. In the SOx, NOx, HC of air pollution material density were lower than exhaust standard value at the back of cyclone and dusty than exhaust standard value without dust collector.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.187-201
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• 2011

KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.

• The Korean Journal of Applied Statistics
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• v.11 no.2
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• pp.317-333
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• 1998

In this study, I employed the autoregressive model and the geometric Brownian motion model to analyze the recent stock prices of Korea. For all 7 series of stock prices(or index) the geometric Brownian motion model gives better predicted values compared with the autoregressive model when we use smaller number of observations.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.7-17
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• 2022

The article discusses the problems caused by inflation in the developing Asia-Pacific region during the time of the worldwide pandemic and suggests innovative solutions to the problem. The reality is that some of the commodity groups from the consumer basket (e.g., non-seasonal fruits, electronics, furniture, hotel, and restaurant services, etc.) fail to reflect the needs of the low-income earners, which make the majority in developing countries. At the same time, the inflation targeting regime has become outdated and not reliable, because of uncontrolled exogenic factors (imported inflation, fluctuation in oil prices, supply chain disruption, Russia-Ukraine war, etc.) prevailing on endogenic factors and thus making it impossible to control the price stability, especially in developing countries. Since, the old-fashioned inflation index and inflation targeting mechanisms regrettably fail to fully reflect both the society and governmental/central banks' expectations, based on which we first should have better care and second create better policies; we propose to use a combination of already well-known indexes and policies, with the new statistical indicators, which reflects price fluctuations on the medication, utilities, and nutrition.

• Management & Information Systems Review
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• v.4
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• pp.327-348
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• 2000

There are three major motives for M&A, financial synergy effect, operating & managerial synergy effect, and tax effect. The purpose of this study is to prove the operating & managerial synergy effect of M&A. To do this, we analyze the market-ripple effect of M&A, focusing on the increase in market power. Specifically we use cross-sectional data from 1985 to 1998 to show whether a market power of mergers is higher than that of a matched non-merging control group. we use time series data to show whether a market power of merger is higher than that of pre-merger. Also we use the event study using market model to show the stock price movement after mergers. The result is that although revenue increase after mergers, profit of the firms does not improve after mergers. Also there is sufficient evidence to say that there is a cumulative abnormal return for the firms after mergers.

• Journal of The Korean Digital Architecture Interior Association
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• v.1 no.1
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• pp.24-30
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• 2001

This study conducts a questionnaire with undergraduate students in the Dept. of Architecture who will lead the architectural field in future, examines environment and perception of CAD in their home and universities and aims at supplying the data required for setting CAD educational index and building its use environment, and it could obtain the following results. Individual CAD environment of undergraduate students in the Dept. of Architecture reach a considerable level in hardware part, but they don't have the same level in software part as the hardware and use illegal copy programs. It is shown that they spend their time in using CAD for five to eight hours a week and its main purposes are to perform a project related to architectural design or make report requiring drawing. Major places using CAD are CAD room in university or public PC room equipped with CAD compared to their own houses and most of them have a negative recognition of the convenience of its use. Their satisfaction with CAD use is considerably high and when they submitted their assignments of architectural design project by means of CAD, they had a positive evaluation from their professors and they have such hopes that 'Korean Support Strengthening', 'lowering price through version supply for students' and 'diversification of design symbol' in CAD S/W, and especially, most of respondents have an intention to purchase the original goods when version only for students will be marketed in future. Accordingly, for a qualitative improvement of CAD environment for undergraduate students in the Dept. of Architecture, universities must be equipped with the various types of CAD S/W and Applications and students' opportunity to access them should be increased. In addition, a method which can enhance using convenience of CAD room and PC room is required and CAD related S/W developers must market the version for students which consider the reality of undergraduates in Korea properly with an appropriate price level in order to settle a sound S/W culture.

• Journal of the Korean Society of Fashion and Beauty
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• v.3 no.3 s.3
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• pp.64-70
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• 2005

The purpose of this study was to give help for more activation to the area of spa industry appropriate to the emotion of our country based on the spa of recognition of massage specialist. Aroma Essencial oil bath was the first favorite of the customers when they're going to have bath in Hydro-therapy or with some other material in their bathtub according to the general results of the previous study. The most high voice of discontent of customers was the high price and the main customer's ages on the spa-therapy were the ages 30s and 40s. The method for activation for future spa-therapy were showed as the better facilities and advertising, reasonable price, systematic education programs, professionalists as an order. The proper care hours for spa-therapy that customers like most was 1:30-2:30 and the resonable price of one time care of that was shown as 100,000-200,000 won. The priority actions for the competition with foreigners on this area of spa-therapy will be the various and nation-wide advertisement of the effectiveness on spa-therapy to the customers to use easily and to be made being generalized on their lives. And the our inland spa-therapy must have main position at the center of cities, the various programs to satisfy the Korean traditional culture of them should be studied and introduced. And at that time future inland spa-therapy industry will have power for the competitions with similar foreign industries.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.105-111
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• 2023

Recently, research on prediction algorithms using deep learning has been actively conducted. In addition, algorithmic trading (auto-trading) based on predictive power of artificial intelligence is also becoming one of the main investment methods in stock trading field, building its own history. Since the possibility of human error is blocked at source and traded mechanically according to the conditions, it is likely to be more profitable than humans in the long run. In particular, for the virtual currency market at least for now, unlike stocks, it is not possible to evaluate the intrinsic value of each cryptocurrencies. So it is far effective to approach them with technical analysis and cryptocurrency market might be the field that the performance of algorithmic trading can be maximized. Currently, the most commonly used artificial intelligence method for financial time series data analysis and forecasting is Long short-term memory(LSTM). However, even t4he LSTM also has deficiencies which constrain its widespread use. Therefore, many improvements are needed in the design of forecasting and investment algorithms in order to increase its utilization in actual investment situations. Meanwhile, Prophet, an artificial intelligence algorithm developed by Facebook (META) in 2017, is used to predict stock and cryptocurrency prices with high prediction accuracy. In particular, it is evaluated that Prophet predicts the price of virtual currencies better than that of stocks. In this study, we aim to show Prophet's virtual currency price prediction accuracy is higher than existing deep learning-based time series prediction method. In addition, we execute mock investment with Prophet predicted value. Evaluating the final value at the end of the investment, most of tested coins exceeded the initial investment recording a positive profit. In future research, we continue to test other coins to determine whether there is a significant difference in the predictive power by coin and therefore can establish investment strategies.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.231-240
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• 2022

This study empirically analyzed the effect of complex commercial facilities on the price of nearby apartments in a Hedonic price model. The spatial range of this study was the walking area of H Department Store located in Pangyo among the second new towns suburb of Seoul, and the time range was 2020. The dependent variable was the real transaction price of the apartment, and independent variable were the characteristics of the housing, the characteristics of the complex, and the characteristics of the region. As a result of the analysis, the area of exclusive use space, the transaction floor, and the highway accessibility had a positive effect on the price of the apartment, and the elapsed year had a negative effect on the price of the apartment. However, the size of the apartment had little effect on apartment prices, and the distance from the complex commercial facilities was shown to be related to apartment prices, indicating that apartment prices declined as it moved away from the complex commercial facilities. Therefore, this is much more influential than the influence of distance from subway stations on apartment price. This confirms that the effect factors of apartment prices and the size of their influence appear differently in the new town area and the existing metropolitan area.