• Management & Information Systems Review
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• v.18
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• pp.41-67
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• 2006

Value Creation issue for customers is emerging from the college education. Most colleges are facing to cope with over-supplied education facility problems against reducing population to apply to enter universities/colleges. The best way to overcome those problems might be to implement the Customer Satisfaction Management Strategy as if they were private firms for making profit. The main purpose in this study is to provide guidelines for CS strategy with a private college. It is focused on designing research plans and searching CS index. The process of this study is as follows; - Introduced the value creation strategy for customers with private colleges. - Proposed the CS management which is very important for enhancing competitive power - Evaluate various models to measure service quality and CSI for college service. - Provided some guidelines to research design of CS according to 6 customer categories. - Proposed some methodologies to apply a service quality measurement model. - Suggested a revised model from SERVPERF to adapt with college customers satisfaction. The result from this study showed that Customer Satisfaction Management would be the most important strategy to cope with confronting difficulties for private college and the revised model from SERVPERF would be an alternative solution. Further study is essential to assure the suggested model is valuable for private colleges because empirical test has not completed yet.

• Journal of the Korean Society of Costume
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• v.64 no.8
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• pp.155-163
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• 2014

This study is designed to examine how the female body, as shown in Korean modern figure paintings, is expressed as an object for one's gaze and the meaning behind it. The study analyzed the entries displayed during the Joseon Arts Exhibitions from 1922 to 1944, for a total of 23 times. The exhibition entries are considered to be the representative sources in regards to the history of Korean modern arts. This study examined the artistic works, which portrayed the female body as an object for gaze. Literature research was conducted to look into the general background of modern society in Korea and the significance of the body as an object for gaze, and empirical study was also performed to analyze the female body in modern figure paintings. This research reveals how the bodies of modern Korean women were seen under the structure of power. It is believed that the process of criticizing and complementing the bodies of Korean women, which was distorted by Japan, may lead to an objective analysis of the aesthetic consciousness of the Korean female bodies.

• The Journal of Information Systems
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• v.21 no.4
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• pp.55-79
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• 2012

LBS(Location-Based Service) is one of the smartphone application services which has been receiving great attention recently. Various applications of smartphone use LBS to provide innovative services. However, use of LBS raises privacy concerns because the location information of users is constantly exposed. Privacy calculus perspective attempts to understand the characteristics of the user's privacy. It is based on the risk-benefit analysis in the economics' perspective. That is, when the benefit expected through personal information disclosure is higher than risk, we are willing to provide personal information. This research suggested a research model based on the privacy calculus perspective to clarify the effect of information disclosure intention of smartphone LBS application users. Based on the main factors of privacy calculus, perception of privacy risk and privacy benefit, the relationship of the perceived value and the information disclosure intention was empirically analyzed by utilizing structural equation modeling(SEM) methodology. According to the results of the empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between privacy concern and information disclosure intention. This study showed a strong evidence of antecedent factors based on privacy calculus of personal information disclosure in smartphone LBS applications.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.33-38
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• 2020

Anomaly detection of Machine Learning such as PCA anomaly detection and CNN image classification has been focused on cross-sectional data. In this paper, two approaches has been suggested to apply ML techniques for identifying the failure time of big time series data. PCA anomaly detection to identify time rows as normal or abnormal was suggested by converting subjects identification problem to time domain. CNN image classification was suggested to identify the failure time by re-structuring of time series data, which computed the correlation matrix of one minute data and converted to tiff image format. Also, LASSO, one of feature selection methods, was applied to select the most affecting variables which could identify the failure status. For the empirical study, time series data was collected in seconds from a power generator of 214 components for 25 minutes including 20 minutes before the failure time. The failure time was predicted and detected 9 minutes 17 seconds before the failure time by PCA anomaly detection, but was not detected by the combination of LASSO and PCA because the target variable was binary variable which was assigned on the base of the failure time. CNN image classification with the train data of 10 normal status image and 5 failure status images detected just one minute before.

• Clean Technology
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• v.14 no.1
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• pp.47-52
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• 2008

Among various mass transfer models to express adsorption rates for any adsorption processes, the linear driving force (LDF) model is used most. The present investigation aims at finding whether this model may be applied to real adsorption process for separation and removal of benzene. Comparison of numerical simulation results calculated by the LDF model with experimental data allowed us to find the mass transfer coefficients that are most appropriate for a specific adsorption process. Various breakthrough curves were obtained from experiments performed at many different temperatures and pressures, which in turn produced suitable mass transfer coefficients. These dependencies of mass transfer coefficient on temperature and pressure were represented by an Arrhenius type- and a power law type empirical equation, respectively.

• Nuclear Engineering and Technology
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• v.36 no.6
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• pp.559-570
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• 2004

A computational fluid dynamics model for predicting moderator circulation inside the Canada deuterium uranium (CANDU) reactor vessel has been developed to estimate the local subcooling of the moderator in the vicinity of the calandria tubes. The buoyancy effect induced by the internal heating is accounted for by the Boussinesq approximation. The standard $k-{\varepsilon}$ turbulence model with logarithmic wall treatment is applied to predict the turbulent jet flows from the inlet nozzles. The matrix of the calandria tubes in the core region is simplified to a porous media in which the anisotropic hydraulic impedance is modeled using an empirical correlation of pressure loss. The governing equations are solved by DFX-4.4, a commercial CFD code developed by AEA technology. The resultant flow patterns of the constant-z slices containing the inlet nozzles and the outlet port are "mined-type", as observed in the former 2-dimensional experimental investigations. With 103% full power for conservatism, the maximum temperature of the moderator is $82.9^{\circ}C$ at the top of the core region. Considering the hydrostatic pressure change, the minimum subcooling is $24.8^{\circ}C$.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.8B
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• pp.1021-1027
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• 2011

VHF is generally used for data or voice communications between ships and land stations. Although there exist many analytical and empirical channel models for radio waves on land, over-the-sea models are very limited to basic description. In this paper, a VHF channel is measured using vertical and/or horizontal whip antennas on shore and a moving ship for various ranges. The results show that the Doppler shift and changes in power for various ranges are observed. We can also find that the statistical analysis results in that the statistical parameters are rapidly changes, especially for V/H and H/V channels.

• Journal of the Korean institute of surface engineering
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• v.43 no.3
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• pp.159-164
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• 2010

Surface roughness of deposited or etched film strongly depends on ion bombardment. Relationships between ion bombardment variables and surface roughness are too complicated to model analytically. To overcome this, an empirical neural network model was constructed and applied to a deposition process of silicon nitride (SiN) films. The films were deposited by using a pulsed plasma enhanced chemical vapor deposition system in $SiH_4$-$NH_4$ plasma. Radio frequency source power and duty ratio were varied in the range of 200-800 W and 40-100%. A total of 20 experiments were conducted. A non-invasive ion energy analyzer was used to collect ion energy distribution. The diagnostic variables examined include high (or) low ion energy and high (or low) ion energy flux. Mean surface roughness was measured by using atomic force microscopy. A neural network model relating the diagnostic variables to the surface roughness was constructed and its prediction performance was optimized by using a genetic algorithm. The optimized model yielded an improved performance of about 58% over statistical regression model. The model revealed very interesting features useful for optimization of surface roughness. This includes a reduction in surface roughness either by an increase in ion energy flux at lower ion energy or by an increase in higher ion energy at lower ion energy flux.

• Korean Journal of Remote Sensing
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• v.22 no.5
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• pp.397-402
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• 2006

China Coastal Water (CCW) usually appears in the seas surrounding Jeju Island annually (June-October) and is very pronounced in August. The power spectrum density (PSD), sea level anomalies (SLAs), and sea surface temperatures (SSTs) were found to peak annually and semiannually. The peaks at intervals of 80-, 60-, and 43-days are considered to be influenced by CCW and the Kuroshio Current. Generally, low-salinity water appears to the west of Jeju Island from June through October and gradually propagates to the east, where CCW meets the Tsushima Current. Empirical orthogonal function (EOF) analysis of SLAs and SSTs indicated that the variance in SLAs and SSTs was 55.70 and 98.09% in the first mode, respectively. The PSD for the first mode of EOF analysis of SLAs was stronger in the western than in the eastern waters because of the influence of CCW. The PSD for the EOF analysis of SSTs was similar in all areas (the Yangtze Estuary and the waters to the west and east of Jeju Island), with a period of approximately 260 days.

• Geomechanics and Engineering
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• v.19 no.4
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• pp.343-352
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• 2019

For quality control and the economical design of grouted sand, the prior establishment of the unconfined compressive strength (UCS) estimating formula is very important. This study aims to develop an empirical UCS estimating formula for grouted sand based on the physical properties of sands and the UCS of cured pure grout. Four sands with varying particle sizes were grouted with both microfine cement and Ordinary Portland cement. Grouted specimens were prepared at three different relative densities and at three different water-to-cement ratios, and unconfined compression tests were performed. The results demonstrate that UCS of grouted sand can be expressed as the power function of the UCS of cured pure grout: $UCS_{grouted\;sand}/1MPa=A_{soil}{\cdot}(UCS_{pure}/1MPa)^N$. Because the exponent N strongly depends on the combination of pore area and pore size, N is expressed as the function of porosity (n) and specific surface ($S_a$). Additionally, because $S_a$ determines the area of the sand particle that cement particles can adsorb and n determines the number of cementation bondings between sand particles, $A_{soil}$ is also expressed as the function of n and $S_a$. Finally, the direct relationship between $A_{soil}$ and N is also investigated.