• Transactions of the Korean Society of Automotive Engineers
• /
• v.17 no.5
• /
• pp.91-96
• /
• 2009

The number of vehicles applied diesel engine are rapidly rising for fuel economy. Accompanying this trend, application of an after-treatment system is strictly required as a result of reinforced emission regulation. The Diesel Particulate Filter (DPF) system is considered as the most efficient method to reduce particulate matter by car makers but also in retrofit market. In this paper we discussed the optimization of active regeneration timing by comparing the fuel consumption from back pressure caused by PM loading and from active regeneration. The effects of back pressure of DPFs during PM loading, active regeneration condition and engine emission(PM) on additional fuel consumption are experimentally investigated and the proper regeneration timings according to DPF systems and fuel loss for 160,000km are determined.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.2
• /
• pp.255-267
• /
• 2011

The aim of this study is to utilize system trading for making investment decisions and use technical analysis and Dynamic Time Warping (DTW) to determine similar patterns in the frequency of stock data and ascertain the optimal timing for trade. The study will examine some of the most common patterns in the futures market and use DTW in terms of their frequency (10, 30, 60 minutes, and daily) to discover similar patterns. The recognized similar patterns were verified by executing trade simulation after applying specific strategies to the technical indicators. The most profitable strategies among the set of strategies applied to common patterns were again applied to the similar patterns and the results from DTW pattern recognition were examined. The outcome produced useful information on determining the optimal timing for trade by using DTW pattern recognition through system trading, and by applying distinct strategies depending on data frequency.

• Journal of Distribution Science
• /
• v.18 no.5
• /
• pp.71-81
• /
• 2020

Purpose: This case study illustrates the successful entry of Saudi Aramco in the Korean market and how it grows to become one of the world's largest integrated energy enterprises. Research design, data and methodology: This case investigates diverse secondary sources to examine the entry strategy of Aramco in Korea, such as several interviews including public and anonymous dialogues, periodicals, dispatches (i.e. news articles and magazines), annual reports, industrial reports, and others. Results: The main concern for the international strategic approaching of Saudi Aramco is to enter into Korean market by joint venture with SsangYong Oil (today's S-Oil Corporation) in 1991 and finally, ending by Acquisition of S-Oil in 2015. This acquisition of local No.3 company, S-Oil, in Korea is the successful case in Asian Markets overcoming liability of foreignness. Moreover, Saudi Aramco's global distribution strategy through localization in the Korean market is appropriate given the market conditions, timing, effectiveness, and efficiency by sharing their resources and collaborating. Conclusions: It would be valuable, unique, and real story to analyze global leading company's entry and globalization strategy in overseas market. In addition, this study provides decision-makers with a significant and more strategic implication for the overseas expansion of businesses.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.741-749
• /
• 2021

The research paper endeavors to investigate the presence of seasonal anomalies in the Indian equity market. It also aims to verify the notion that equity markets are for long-term investors. The study employs daily index data of Sensex, Bombay Stock Exchange, to understand its volatility for the period ranging from January 2001 to August 2020. To analyze the seasonal effects in the stock market of India, multiple regression techniques along with descriptive analysis, graphical analysis and various statistical tests are used. The study also employs the rolling returns at different time intervals in order to understand the underlying risks and volatility involved in equity returns. The results from the analysis reveal that daily and monthly seasonality is not present in Sensex returns i.e., investors cannot earn abnormal returns by timing their investment decisions. Hence, the major finding of this study is that the Indian stock market performance is random, and the returns are efficient. The other major conclusion of the research is that the equity returns are profitable in the long run providing investors a hope that they can make gains and compensate for the loss in one period by a superior performance in some other periods.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.9
• /
• pp.210-217
• /
• 2020

Since multiple generation technology can have various entry modes by adjusting performance, price, and entry timing, understanding of market entry mode of multiple generation technology is important. This study defined the concept of market entry mode based on multiple dimensions (technology, time, performance, or price) and developed a model for various types of market entry modes. Based on a literature review, the definition and types of market entry mode were provided, and the accuracy of the model was verified based on a case study on the semiconductor and smartphone market. Six market entry modes of multiple generation technology were modeled as moderate performance and early entry, high performance and early entry, low performance and early entry, moderate performance and late entry, high performance and late entry, and low performance and late entry. This study will be useful to understand the market entry mode of multiple generation technology by defining and developing a model for entry mode and can be applied to other markets in addition to multiple generation technology.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.453-454
• /
• 2008

Modern VLSI designs get increasingly complex and time-to-market constraints get tighter. Using high level languages is one of the most promising solutions for improving design productivity by raising the level of abstraction. In high level synthesis process, most important step is scheduling. In this paper, we propose fast and efficient scheduling method under timing constraint based on list scheduling. Experimental results on well known data path intensive designs show fast execution times (less than 0.5 sec) and similar results when compared to optimal solutions [1].

• Communications for Statistical Applications and Methods
• /
• v.15 no.1
• /
• pp.117-124
• /
• 2008

The liquidity risk is defined as an additional risk in the market due to the timing and size of a trade. A recent work by Cetin et ai. (2003) proposes a rigorous mathematical model incorporating this liquidity risk into the arbitrage pricing theory. A practical problem arising in a real market application is an estimation problem of a liquidity cost. In this paper, we propose to estimate the liquidity cost function in the context of Cetin et al. (2003) using the constrained least square (LS) method, and illustrate it by analyzing the Kellogg company data.

• IE interfaces
• /
• v.25 no.4
• /
• pp.441-449
• /
• 2012

Solar PV(photovoltaic) is paid great attention to as a possible renewable energy source to overcome recent global energy crisis. However to be a viable alternative energy source compared with fossil fuel, its market competitiveness should be attained. Grid parity is one of effective measure of market competitiveness of renewable energy. In this paper, we forecast the grid parity timing of solar PV energy in Korea using two factor learning curve model. Two factors considered in the present model are production capacity and technological improvement. As a result, it is forecasted that the grid parity will be achieved in 2019 in Korea.

• Proceedings of the Technology Innovation Conference
• /
• 1999.12a
• /
• pp.82-92
• /
• 1999

In case of Korea, the entire volume of TFT-LCD Top Chassis was previously imported from Japan. However, Se-jong Hitech in Korea has successfully introduced the mass production system using domestic technology, and even in terms of quality, cost and the delivery timing, the production capability of Korea now becomes superior to that of Japan. Se-jong Hitech has grown to be the most competitive one in the domestic market in Korea, and the current market share of the firm was turned out to be more than 70%. There reasons for the success of Se-jong Hitech might be the effort for fully credible relationship with the large corporations, the effective use of catch-up strategy, the core competence and the manager's business midset, etc.

• Proceedings of the Technology Innovation Conference
• /
• 2004.02a
• /
• pp.108-131
• /
• 2004

Having the characteristics of public goods, Radio Spectrum had been controlled by Government Authorities. In the past, technological side of spectrum, such as cross protection, was the main concern, but as the telecommunication industry is developing gradually, economic side of spectrum is becoming an important part. To uplift the Economic efficiency of spectrum management policy, clarifying the basic value of spectrum is one of the most important things. Also, both government authorities and spectrum licensees will have to choose license or investment under uncertainties such as license timing, time to market, technology standard, and so on. Considering all things, this paper gives the value to the spectrum by real options theory, which is a powerful method concerning uncertainty, especially for government, And we applied it to a specific spectrum band for the portable Internet in Korea. These results can provide information about the technological standard, optimal market-entry time as well as the value of spectrum for the portable Internet.