• The Korean Journal of Financial Management
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• v.25 no.3
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• pp.111-130
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• 2008

This paper compares long term equilibrium relation of KOSPI 200 which is underling stock and its futures by using general method fractional cointegration instead of existing integer cointegration. Existence of integer cointegration between two price time series gives much wider information about long term equilibrium relation. These details grasp long term equilibrium relation of two price time series as well as reverting velocity to equilibrium by observing difference coefficient of error term when it renounces from equilibrium relation. The result of this study reveals existence of long term equilibrium relation between KOSPI200 and futures which follow fractional cointegration. Difference coefficient, d, of 'two price time series error term' satisfies 0 < d < 1/2 beside bandwidth parameter, m(173). It means two price time series follow stationary long memory process. This also means impulse effects to balance price of two price time series decrease gently within hyperbolic rate decay. It indicates reverting speed of error term is very low when it bolts from equilibrium. It implies to market maker, who is willing to make excess return with arbitrage trading and hedging risk using underling stock, how invest strategy should be changed. It also insinuates that information transition between KOSPI 200 Index market and futures market does not working efficiently.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.313-322
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• 2009

Recently, According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer patterns in automotive market with data mining using association rule and basic statics methods. With 4he help of information technology.

• Proceedings of the Technology Innovation Conference
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• 1997.07a
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• pp.224-243
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• 1997

The study examines the similarities of competitive strategy between fashion industry and high-tech industry through a case study of a Japanese maker. From the study, some implications are drawn for the Korean fashion industry. It is hoped that this, will help towards establishing a suitable competitive strategy for firms in this industry. In the fashion industry, the product life cycle is so short as to prompt a new product obsolete too quickly, and the extent of product differentiation is remarkably extensive compared to any other industry. Generally speaking, firms in this industry focus more of their resources on product development and marketing rattler than on production and they attempt to maneuver the speed when they are required to enhance their competitive edge. This is enabled through being, as one might expect, information- and technology- intensive as are high-tech industries. In this sense, that of the competitive strategy of a firm in fashion industry to be similar to high-tech industry. The Japanese firm Y has transformed itself a leading firm in fashion uniform segment. The firm could achieve this status by integrating each function needed for creating customer*s value, that is, product development, production and marketing within one Quick Response System. For this purpose, Y introduced a bundle of high-tech communication systems such as SPD, SDS, ATOM, NICS and so on. In this sense it can be said that Y was aware of what sort of competitive strategy was required in the industry. Implications for Korean firms is that, first, the magnitude of understanding the industry specific factors in establishing competitive strategy in the fashion industry, are speed, flexibility and systematic integration supported by high technology which are characteristic of high-tech industries. Secondly, as can be seen in the fact that Y emphasized logistics in its technological transformation, the significance of logistics control is a key to manipulating speed and flexibility in the industry. To sum up, those who have insight into above findings will be likely to keep their competitiveness in the industry not only in the Korean market but also in global market in the near future.

• Journal of Korea Water Resources Association
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• v.39 no.7 s.168
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• pp.563-574
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• 2006

Economic theory tell us, consumers always make a choice to maximize their utility. In the market system, consumers' choices are revealed and policy maker taking into account the aggregated consumers choice such as price, supply and demand. However, water resources as a public goods, therefore typically there is no market and does no aggregated information for residential water use. This study explore the consumers' willingness to pay for higher quality for residential water. Over 1,000 households responded for this survey and willingness to pay has been estimated. Furthermore, consumers' behaviors of residential water are examined. Consumers are willing to reduce the amount of water use with more than 50% of increasing water price, but stay almost constant with less than 25% of increasing which mean that current price level is not high enough to derive water saving. If consumers can have better quality of water, they willing to pay additional 16%, $153\;won/m^3/month$, more than their current price. Based on the derived information, we suggested policy direction for residential water policy.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.372-380
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• 2010

Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is one of the fastest growing field in the computer industry. Because of According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies. Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer buying patterns in automotive market with data mining using decision tree as a quinlan C4.5 and basic statics methods.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.4
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• pp.225-237
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• 2016

In conventional transportation problem (TP), all the parameters are always certain. But, many of the real life situations in industry or organization, the parameters (supply, demand and cost) of the TP are not precise which are imprecise in nature in different factors like the market condition, variations in rates of diesel, traffic jams, weather in hilly areas, capacity of men and machine, long power cut, labourer's over time work, unexpected failures in machine, seasonal changes and many more. To counter these problems, depending on the nature of the parameters, the TP is classified into two categories namely type-2 and type-4 fuzzy transportation problems (FTPs) under uncertain environment and formulates the problem and utilizes the trapezoidal fuzzy number (TrFN) to solve the TP. The existing ranking procedure of Liou and Wang (1992) is used to transform the type-2 and type-4 FTPs into a crisp one so that the conventional method may be applied to solve the TP. Moreover, the solution procedure differs from TP to type-2 and type-4 FTPs in allocation step only. Therefore a simple and efficient method denoted by PSK (P. Senthil Kumar) method is proposed to obtain an optimal solution in terms of TrFNs. From this fuzzy solution, the decision maker (DM) can decide the level of acceptance for the transportation cost or profit. Thus, the major applications of fuzzy set theory are widely used in areas such as inventory control, communication network, aggregate planning, employment scheduling, and personnel assignment and so on.

• Korean Management Science Review
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• v.25 no.2
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• pp.43-55
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• 2008

Contingent valuation method(hereafter CVM) is generally believed to be one of the most popular methods used for quantifying the value of non-market goods or services particularly by asking respondents of willingness to pay. This study deals with how to use CVM in calculating the value of mobile telephone service by suggesting methodology of estimation and eliminating biases. This study represents an attempt to estimate the WTP(Willingness To Pay) of the mobile telephone service using the face-to-face interview which is the qualitative technique is used. In this study, by using the single bound dichotomous choice model(SBDC) in order to analyze the valuation of mobile telephone service, WTP was estimated. Also we analyze the factors to pay for mobile service in which it becomes the important factor of demanding services. We used logit model. In order to provide robust estimates of WTP, we have used the Method of Montecarlo Simulation. Consequently, consumers showed that WTP about the mobile communications service is generally high. And it could know that the WTP will fell down as the specialized knowledge about the mobile communications frequency was high. It will be able to become the important part to not only the business carrier but also the policy maker to estimate the economic value of mobile telephone service.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.731-736
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• 2009

Hyperlink is a directly followable reference within a hypertext document. With a help of it, we can get information conveniently and save the cost for obtaining content in internet. KISTI(Korea Institute of Science and Technology Information) applied the hyperlink to GTB(Global Trends Brief service). GTB gatehers quickly the latest information of science, technology and market which is necessary to policy maker, businessman and researcher. This report explained the method how applied hyperlink to GTB and showed the examples.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.1
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• pp.120-127
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• 1999

The purpose of the study is to mae experimental whether the required property quantity and marker efficiency has variation of marking based on theoretical background of marking using th function of computer marking system. To investigate that variation of marking effect the required property quantity and marker efficiency as the following is tried to solve giving separation to item width of property cutting line detail which is believed to influence the required property quantity and marker efficiency. How to make experiment as follows separating in order marker of 1082 styles of women's ready-made clothes of with basic design(jacket. pants. skirt, two-piece). Then the data were subjected to analysis of variance and Duncan's multiple range test. The result of this studying as follows 1. In marker of women's jacket and pants the required property quantity shows lower when it is each item than when it is two-pice,. 2. In marker of women's pants marker efficiency shows the highest level when width is 132cm and it shows the lowest level when width is 112cm. 3. In width 152cm of skirt marker it has cutting lines shows lower the required property quantity than it doesn't have. 4. In marker of women's pants it has details shows more high marker efficiency than it doesn't have.

• Journal of KSNVE
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• v.9 no.1
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• pp.121-130
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• 1999

Generally, A Dynamic Absorber by using Active viscous Damping is highlighted for effective suspension system, such as improved ride comfort and handling in the market. Lately, this system based on the Sky-Hook damper theory is introduced by the name of "Active Dynamic Absorber" to us. This system has an excellent performance in contrast to Passive. Adaptive Dynamic Absorber, besides having low cost components of system, low energy consumption. light weight of system. In this viewpoint. most of car-maker will adopt this system in the near future. For this reason, we developed Dynamic Absorber by using Active viscous Damping which is equipped with continuously variable Dynamic Absorber and Control logic consisting Filter and Estimator. control apparatus of Dynamic Absorber operated by 16-bit microprocessor of high performance. variable device of viscous Damping. G-sensor so on. In this paper. several important points of development procedure for realizing this system will be described with results in which is obtained from experiment by simulation and Full car test in Proving ground. respectively.pectively.