• Journal of the Korea Safety Management & Science
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• v.9 no.3
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• pp.165-171
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• 2007

Dependent models in quality statistics are classified as serially autocorrelated model, multivariate model and dependent sample model. Dependent sample model is most efficient in time and cost to obtain samples among the above models. This paper proposes to implement parametric and nonparametric models into production system depended on demand pattern. Nonparametric models have distribution free and asymptotic distribution free techniques. Quality statistical models are classified into two categories ; the number of dependent sample and the type of data. The type of data consists of nominal, ordinal, interval and ratio data. The number of dependent sample divides into 2 samples and more than 3 samples.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.4
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• pp.337-344
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• 2001

As cost invested in developing the specified technology is increasing, investors are paying more attention to cost to benefit analysis (CBA). One of the basic elements of CBA for new technological development is the diffusion pattern of demand of such technology. Many studies of technology evaluation have adopted a single generation model to simulate the diffusion pattern of demand. This approach, however, considers the diffusion of the new technology itself, not taking into account a newer generation that can replace the one just invented. In this paper, we show how a multi-generation technology diffusion model can be applied for more accurate CBA for information technology. Monte Carlo simulation is performed to find influential factors on the CBA of a Cybernetic Building System.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.151-155
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• 2005

An electricity consumption is closely related to the economic growth structure. The change of economic growth structure affects the pattern of electricity consumption widely and severely. This paper gives that the primary changing factors of electricity growth are economic growth, change of industry structure(the change of electricity consumption ratio in case of residential sector), and the effect of electricity saying. It gives a model to analyze the influence of GDP to the change of electricity consumption patterns by sector through the period of pre and post 1998(IMF, financial crisis) to observe the contribution of each factor to the growth of electricity demand. It is anticipated that this study shows the feasible scheme of economic structure to become the developed country.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.87-95
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• 2016

This study examined the characteristics of the hourly demand of city gas in Korea and proposed multiple regression models to obtain precise estimates of the hourly demand of city gas. Forecasting the hourly demand of city gas with accuracy is essential in terms of safety and cost. If underestimated, the pipeline pressure needs to be increased sharply to meet the demand, when safety matters. In the opposite case, unnecessary inventory and operation costs are incurred. Data analysis showed that the hourly demand of city gas has a very high autocorrelation and that the 24-hour demand pattern of a day follows the previous 24-hour demand pattern of the same day. That is, there is a weekly cycle pattern. In addition, some conditions that temperature affects the hourly demand level were found. That is, the absolute value of the correlation coefficient between the hourly demand and temperature is about 0.853 on average, while the absolute value of the correlation coefficient on a specific day improves to 0.861 at worst and 0.965 at best. Based on this analysis, this paper proposes a multiple regression model incorporating the hourly demand ahead of 24 hours and the hourly demand ahead of 168 hours, and another multiple regression model with temperature as an additional independent variable. To show the performance of the proposed models, computational experiments were carried out using real data of the domestic city gas demand from 2009 to 2013. The test results showed that the first regression model exhibits a forecasting accuracy of MAPE (Mean Absolute Percentage Error) around 4.5% over the past five years from 2009 to 2013, while the second regression model exhibits 5.13% of MAPE for the same period.

• Journal of the Korean housing association
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• v.6 no.2
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• pp.33-42
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• 1995

At the moment the housing demand needs estimated at the level of provinces and big cities. But at the level of small cities and smaller administrative unit like Goon, it is not, for lack of appropriate estimating method. Therefore it is very much required to develope appropriate estimating method at such levels. This study is an attempt to apply to some local areas the estimating method developed by Professor Miyqke of Japan as is suggested in his article. "How to Estimate the Housing Demand in Relation with the Different of Poulation Structure." The result shows that the applied local areas showed repective characteristics distinguished from one another in the pattern of housing demand, to prove the approprateness of the method when applied to the areas at the level of small cities and Goons.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.12
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• pp.568-574
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• 2001

The variations of real time electric power price in competitive electricity markets have influence on electric power demands of the consumers. The effects of the consumers for electric power price can be expressed the price elasticity coefficient of the power demand as a measurement. Residential, commercial, and industrial consumers with different characteristics cause the different price elasticity of the power demand due to changing the pattern of consumption. It is necessary that the effects of electric power demands as a function of elasticity coefficient for each loads should be analyzed in Korea which is processing deregulated electric market. Therefore, this paper calculate the elasticity coefficient of each loads and analysis the effects of electric power demands as a function of elasticity coefficient of inflexible and flexible consumers in competitive electricity market.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.2
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• pp.242-263
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• 1995

The study was to find out the current situation of supply and demand of apparel CAD systems in Korea. Also it was hoped to gather any valuable information about the current usage of apparel CAD systems for the development of the enhanced apparel CAD system. Three interviews were carried out for the study. The first interview with the importing agents was to find out the apparel CAD system's supplying situation. The second interview with the users of apparel CAD system was about the usage of the systems and related informations. The last interview was about the pattern making facilities, which was pointed out by the users to be the most inconvenient part of apparel CAD systems. The results of the survey were: 1. The supply and demand of apparel CAD systems is increasing. 2. The education, training, maintenance of the system should be improved by the supplier. 3. Apparel CAD systems are used for various production systems in the apparel industry. 4. 100% of the systems are utilized for pattern input and 89% of the systems are utilized for marker making. Only 15% of the systems are utilized in pattern making process, which 80% of the users realize to be computerized. 5. The most serious barrier to the better usage of the system is the communication with the system in foreign language. This barrier could be lifted when Korean apparel CAD system is developed.

• Proceedings of the ESK Conference
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• 1993.10a
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• pp.165-188
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• 1993

The study was to find out the current situation of supply and demand of apparel CAD systems in Korea. Also it was hoped to gather any valuable information about the curent usage of appared CAD systems for the development of the enhanced apparel CAD system. Three interviews were carried out for the study. The first interview with the importing agents was to find out the apparel CAD system's supplying situation. The second interview with the users of apparel CAD system was about the usage of the systems and related informations. The last interview was about the pattern making facilities, which was pointed out by the users to be the most inconvenient prat of apparel CAD systems. The results of the survey were:- 1. The supplu and demand of apparel CAD systems is increasing. 2. The education, training, maintenance of the system should be improved by the supplier. 3. Apparel CAD systems are used for various production systems in the apparel industry. 4. 100% of the systems are utilized for pattern input and 89% of the systems are utilized for marker making. Only 15% of the systems are utilized in pattern making process, which 80% of the users realize to be computerized. 5. The most serious barrier to the better usage of the system is the communication with the system in foreign language. This barrier could be lifted when Korean apparel CAD system is developed.

• Structural Engineering and Mechanics
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• v.47 no.1
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• pp.119-129
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• 2013

Nonlinear Static Procedures (NSPs) have been developed as a practical tool to estimate the seismic demand of structures. Several researches have accomplished to minimize errors of NSPs, namely pushover procedures, in the Nonlinear Time History Analysis (NTHA), as the most exact method. The most important issue in a typical pushover procedure is the pattern and technique of loading which are extracted based on structural dynamic fundamentals. In this paper, the coefficients of modal force combination is focused involving a meta-heuristic optimization algorithm to find the optimum load pattern which results in a response with minimum amount of errors in comparison to the NTHA counterpart. Other parameters of the problem are based on the FEMA recommendations for pushover analysis of building structures. The proposed approach is implemented on a high-rise 20 storey concrete moment resisting frame under three earthquake records. In order to demonstrate the effectiveness and robustness of the studied procedure the results are presented beside other well-known pushover methods such as MPA and the FEMA procedures, and the results show the efficiency of the proposed load patterns.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.3
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• pp.457-467
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• 2015

The demand for coverall-type protective clothing are increasing in many industrial fields; however, it is impossible to evaluate the wearers' apparel fit because there is no commercialized pattern in the market. This study produces a manual for the process of acquiring patterns by separating PPE products into pieces to provide information on acquiring patterns. The analysis was on coverall-type non woven protective clothing in the domestic market, and 4 panels examined the validity, reliability, and efficiency of various possible methods on each step of process. Five steps were conducted to acquire patterns removing wrinkles, marking seams lines, separating seams, and pattern completing. The process of converting these into pattern files was designed through three procedures of digitizing, editing, and exporting and detailed stages. Fitting tests were undertaken, real patterns by actual modeling and pattern files by virtual modeling; all showed similar forms with outfits wearing ready-made protective coveralls. This study sought the most efficient and objective method of virtual modeling and proposed it as a manual. It is expected for the pattern reverse-designing manual through products analysis presented in this study that would be a helpful addition of information to the pattern tracing of pattern-less clothing products.