• Korean Journal of English Language and Linguistics
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• v.3 no.4
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• pp.571-588
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• 2003

The purpose of this study is to investigate into the various ways that the computer technology is used for language testing. Three uses of computer technology are mentioned: 1) computer-adaptive language testing and computer-based language testing, 2) the scoring of performance-based language assessment, and 3) the development and use of psychometric tools for analyzing the scoring results. Although the various uses of computer technology could provide expanded possibilities for language testing development, the developers should be reminded that they are currently subject to indepth research which could support their validity. In this regard, the advantages and limitations of some uses of computer technology for language testing are discussed.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.1
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• pp.192-197
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• 2013

To overcome the mismatch of heat demand and heat supply is important as considering point on heat utilizing aspects in Urban area. At this point, It need to know the plan of heat networks on the heat balance aspects. The purpose of this study is to know the method of heat evaluation on heat network around costal area. It is need to building uses to calculate the amounts of heat demand. 25 different types of building uses were supplied, but it was reclassified 10 types and calculated the amounts of heat demand in the costal area. The results was described on the area with GIS mapping.

• Journal of the Korean Home Economics Association
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• v.36 no.11
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• pp.219-230
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• 1998

The purpose of this study was to understand credit card uses and debt burden of the multiple credit card holders. Data were obtained from 428 housewives living in Seoul. OLS regression analysis was used for examining factors affecting credit card uses and debt burden for the multiple credit card holders. The findings could be summarized as follows. First, among the three types of credit cards-bank card, retail card, and professional card, the multiple credit card holders tended to have more bank cards than retail and professional cards. Second, holding of the professional card was positively associated with both the frequency and the amount of credit card use per month. Third, the household income, age, employment status, and motive were important factors in predicting their attitudes toward credit card. Forth, the level of education, employment status, holding of the professional card, motive, amount of credit card use, and attitude toward credit card had singificant effects on their perceived debt burden.

• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.636-641
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• 2008

Heat pump drying has a great potential for energy saving due to its high energy efficiency in comparison to conventional air drying. The heat pump dryer is usually operated at the temperature less than $50^{\circ}C$ and the drying temperature is limited to the operating temperature of the heat pump system. In order to increase the drying temperature, the special box-type heat pump dryer has been developed. The dryer uses the two-cycle heat pump system which has the two heat pump cycles for high and low temperature heating. The high temperature cycle uses the refrigerant 124 to get the temperature greater than $80^{\circ}C$ and the low temperature cycle uses the refrigerant 134a. The drying experiment has been carried out to figure out the performance of the dryer with the selected drying material.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.8
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• pp.742-747
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• 2004

Outdoors we can easily acquire our accurate location by GPS. However, the GPS signal can't be acquired indoors because of its weak signal power level. Adequate positioning method is demanded for many indoor positioning applications. At present, wireless local area network (WLAN) is widely installed in various areas such as airport, campus, and park. This paper proposes a positioning algorithm using WLAN signal strength to provide the position of the WLAN user indoors. There are two methods for WLAN based positioning, the signal propagation method uses signal strength model over space and the empirical method uses RF power propagation database. The proposed method uses the probability distribution of the power propagation and the maximum likelihood estimation (MLE) algorithm based on power strength DB. Test results show that the proposed method can provide reasonably accurate position information.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.11
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• pp.1095-1101
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• 2006

The clean tube system was developed as a means of transferring air-floated wafers inside a closed tube filled with super clean air. This paper presents a wafer position sensing method in the clean tube system, where the photo proximity sensors are used. The first presented method uses the two positions sensed lately in order to compute the wafer center position. The next method uses the latest sensed position and the next latest position compensated with the information of the wafer velocity. The third method uses the kalman filter, which enable us to use all the previous sensing information. The simulation results are compared to show results of the presented method. In addition, the paper presents a control method to stop the wafer at the center of the unit in the clean tube system. The experimental clean tube system worked successfully with the applying the both presented methods of sensing and control.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.1037-1040
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• 2000

We introduce the forecasting method for a next day electric peak load that uses the optimal combination of two types of neural networks. First network uses learning data that are past 10days of the target day. We name the neural network Short Term Neural Network (STNN). Second network uses those of last year. We name the neural network Long Term Neural Network (LTNN). Then we get the forecasting results that are the linear combination of the forecasting results by STNN and the forecasting results by LTNN. We name the method Combination Forecasting Method (CFM). Then we discuss the optimal combination of STNN and LTNN. Using CFM of the optimal combination of STNN and LTNN, we can reduce the forecasting error.

• Water for future
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• v.22 no.3
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• pp.323-330
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• 1989

Three representative dam-break models, HEC-1, DAMBRK, and SMPDBK were analyzed respectively in theri theories and then applied to the failure of Teton Dam for which some observed data exist. From the results of this study, it can be concluded that: (1) HEC-1, which uses the hydrologic routing method, produces stable solutions for almost all the cases that were tested in this study; (2) DAMBRK, which uses the dynamic routing method, is most accurate among the three models; (3) SMPDBK, which uses the generalized dynamic routing relationships, is most economical and easily applicable.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.45 no.2
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• pp.167-174
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• 1996

In this paper, a fault location algorithm is presented, which uses novel signal processing techniques and takes a new paradigm to overcome some drawbacks of the conventional methods. This new method for fault location on electric power transmission lines uses only one-terminal fault signals. The main feature of the method is hat it uses the high frequency components in fault signal and considers the influence of the source network by using a traveling wave propagation characteristics. As a result, we can develop a high speed, good accuracy fault locator.

• Journal of Korean Society of Rural Planning
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• v.11 no.3 s.28
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• pp.11-17
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• 2005

Land prices reflect not only the uses of land, but the potential uses as well(Plantinga, 2002) so land values can be applied to very effective indices for deciding regional status and growing potential. The purpose of this study is to deduce determinant factors of regional land prices. Principal determinants of regional land prices are analyzed with a hedonic technique and spatial econometric models based on 2001 statistic data of Korea except large cities. The results provide the followings. 1. The spatial effect of rural regions are very little with adjacent regions. 2. The common index of land price is population density and other determinant factors are different depending on land uses.