• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.157-164
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• 2021

Regression analysis is a well-known statistical technique useful to explain the relationship between response variable and predictor variables. In particular, Researchers are interested in comparing the regression coefficients(intercepts and slopes) of the models in two independent populations. The Chow test, proposed by Gregory Chow, is one of the most commonly used methods for comparing regression models and for testing the presence of a structural break in linear models. In this study, we propose the use of permutation method and compare it with Chow test analysis for testing the equality of two independent linear regression models. Then simulation study is conducted to examine the powers of permutation test and Chow test.

• The Journal of Information Systems
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• v.31 no.2
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• pp.1-18
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• 2022

Purpose Customer review is a major factor in choosing certain restaurants. This study investigates the key factors affecting customer's evaluation about restaurants. With the recent intensification of competition among restaurants in the service industry, the analysis results are expected to provide in-depth insights for enhancing customer experiences. Design/methodology/approach We collected information and reviews provided at the restaurants in the Kakao Map platform. The information collected is based on the information of 3,785 restaurants in Daegu registered on Kakao Map. Based on the information collected, seven independent variables, including number of rating registered, number of reviews, presence or absence of safe restaurants, presence or absence of a posting about holding facilities, presence or absence of a posting about business hours, presence or absence of a posting about hashtags, and presence or absence of break times, were used. Dependent variable is restaurant rating. Multiple regression between independent variables and restaurant rating was carried out. Findings The results of the study confirmed that number of rating registered, presence or absence of a posting about business hours, and presence or absence of a posting about hash tags have an positive effects on the restaurant rating. The number of reviews had a negative effect on the restaurant rating. In addition, in order to confirm the role of customer's reviews, we carried out LDA topic modeling. We divided the topics into the positive review and the negative reviews.

• Journal of Korean Ophthalmic Optics Society
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• v.17 no.4
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• pp.381-388
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• 2012

Purpose: In this study, the changes in the shape of silicone hydrogel lenses, dryness of lens and objective/ subjective symptoms that could be induced by repeating dryness of lens and objective/subjective symptoms were investigated. Methods: After drying and rehydrating of silicone hydrogel lenses with different lens material and thickness for 4 times, their overall diameters and base curves were compared. Subjective symptoms, non-invasive tear break-up time (NIBUTs) and blinking rate were evaluated after wearing dehydrated silicone hydrogel lens. Results: Overall diameter and base curve increased in all tested silicone hydrogel lenses by repeating dryness and rehydration. The degree of change in over all diameter and base curve were variable on the material. There were irregular change of lens parameters in thicker lens. When the subjects wore silicone hydrogel lenses after drying and rehydrating, their NIBUTs were decreased and blink rates were increased regardless of lens material or thickness. In addition, repetitive drying of silicone hydrogel lenses affected the lens fitting. Therefore, subjective symptoms such as itching, pain, irritation, foreign body sensation, dryness tended to be increased. Conclusions: The results obtained from the study may suggest to develop durable silicone hydrogel contact lenses against dry environment since the changes in parameters of silicone hydrogel lens and the subjective discomfort were observed after repetitive drying and rehydration.

• Journal of the Korea Safety Management & Science
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• v.15 no.3
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• pp.151-161
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• 2013

This paper proposes a strategic model of linkage between productivity metrics and financial accounting metrics to properly evaluate the financial effect of TPM activities and the business performance. This linkage strategy provides a connection tool for clear communication between factory-level and headquarters that the metrics proposed by this paper ultimately improves a quality of support from the management by receiving the factors required for productivity activities in the practical field. This factor includes such as equipment, raw materials and labors. Here, we propose that chain reaction models using break down structure of productivity metrics and financial metrics enhance the knowledge sharing of KPI (Key Performance Indicator) which generally tend to create oversimplified communication between management in headquarters and employees in the practical fields. The productivity metrics include OEE(Overall Equipment Effectiveness) of TPM (Total Productive Maintenance), OLE (Overall Labor Effectiveness) of PAC(Performance and Analysis and Control) activities, and OYE (Overall Yield Effectiveness) of TMM(Total Material Management) activities. The financial accounting metrics include ROE(Return on Equity), ROA(Return on Asset), and AVR(Added-Value Rate). The suggested chain reaction model selects the financial metrics as initial stage and branch down until final stage of productivity metrics. When demand exceeds supply, an ideal speed rate, the lean OEE strategy can be initially applied to reduce the gap between the demand and supply, then apply variable costing to estimate correct amount of operating profit. In addition, the paper presents a new type of model for linkage between financial accounting metrics including CAPEX(Capital Expenditure), OPEX(Operating Expenditure), EVA(Economic Added Value), DCL(Degree of Combined Leverage), and TPM productivity activities including AM(Autonomous Maintenance), PM(Preventive Maintenance), MP(Maintenance Prevention) and QM(Quality Maintenance). In order to support the evidence of proposed linkage strategy, a case analysis on 52 projects from national TPM contest from 2011 to 2012 is analyzed. The case presents the classification of CAPEX and OPEX activities from TPM, and proposes the correct implementation of financial effect for TPM projects.

• Journal of the Korean Society of Costume
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• v.64 no.7
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• pp.57-67
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• 2014

This study aims to provide visual data from analysis of the Depaysement approaches with new viewpoints to inspire and develop new fashion window design ideas. The literature and existing researches related to Depaysement were analyzed for theoretical review, and Depaysement expression approaches were identified by expression characteristics. Theme concepts using traditional Korean images, which could be applied to fashion window displays in Korea, were established, and K(Korean)-fashion design was created to develop fashion window display design. Then, the Depaysement fashion window display was executed using Adobe Illustrator and Photoshop. The results of this study are summarized below. 'Change of forms and materials' could visualize the factors inducing curiosity, which can directly stimulate the consumption sentiment lying latent in the mind of observers by assigning new values to fashion goods displayed inside windows. Unconscious experience and remarkable stories, which are not possible to encounter in an everyday setting, can be visualized through the window display in 'heterogeneous combination of objects.' 'The location change of an object' could express the refreshing and shocking scene to give weird anxiety and mental contradiction to observers by fashion window display, which could break fixed idea of human beings. 'The change of object awareness' could express contradiction and denial, which could liberate the unconsciousness lying latent inside observers through fashion window display. 'Change of spatial awareness' could create the design which maximized the fashion images of goods displayed by helping the observers to change the space of their unconsciousness selectively at their will through the fashion window display with hidden, strange, ambiguous and variable image like a riddle.

• Journal of the Korean Operations Research and Management Science Society
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• v.1 no.1
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• pp.111-125
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• 1976

This study investigates the one-year performance of the Seoul Metropolitan Rail Transit(SMRT) operation. It intends to provide a basic understanding for railway operation in Seoul Metropolitan Area and thereby for making rational transport policy. The paper is conceptually comprised of four sections; analysis of passenger travel characteristics; SMRT costing and traffic cost function: its operating characteristics in terms of finance and utilization; primary social benefits of SMRT and suggestions. In the first year of operation (1974), the average daily traffic was about 335,000, After the drastic increases of fare in both Subway and KNR rail-lines, the travel volume has been cut by almost 10 percent, though most pronounced on intra-Subway line. The spatial distribution of passengers indicates that travelers use the SMRT line mainly for uninterrupted direct travel toward the CBD. In the prospective costing, the opereting expenses are divided into three groups; those which vary directly with volume; those partially variable with volume; and those entirely unrelated to volume change, With this information, cost function was derived for varying schedules of operation. Primary social benefits of the SMRT are assessed, though preliminary. Account should be taken of the nature of common costs of the SMRT in fare-rate making, especially when much of the operating expenses are accounted for by the fixed costs such that the revenue may not readily turn into break-even. The accounting results of the one-year operation coincide reasonably well with the prospective costing estimates. According to the findings of this annd another travelers' behavior studies, managerial effort would bring more revenue gain to the SMRT than fare increase does, not to speak of greater social benefits by so doing.

• Korean Journal of Child Studies
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• v.38 no.2
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• pp.205-218
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• 2017

Objective: This study examined the correlation between variables influencing teacher sensitivity to infant classes in Educare Center teachers and teacher sensitivity, by classifying their personal psychological, socio-psychological, and work environment variables. Furthermore, it aimed to inquire the extent to which these variables influence teacher sensitivity. Methods: The study included 236 Educare Center teachers in charge of infant classes working in infant-caring facilities. Based on stepwise multiple regression analysis, a significance test was conducted for each variable. Results: Firstly, according to the correlations regarding teacher sensitivity to infant classes, for sensitive interaction, emotional stability showed significant positive correlation, while there were significant negative correlations with relationships with the director, colleagues,and parents; mean working hours in other places; and mean daily personal time. For insensitive interaction, there were significant negative correlations with emotional stability and mean daily break time, while there were significant positive correlations with relationships with the director, colleagues, and parents. Secondly, regarding the influences on teacher sensitivity to infant classes, for sensitive interaction, the most significant influences consisted in the relationships with colleagues and parents. On the other hand, for insensitive interaction, the most significant influences were the relationship with colleagues and emotional stability. Conclusion: Reducing interpersonal relationship stress and increasing the emotional stability of Educare Center teachers will increase their sensitivity level. Furthermore, the quality of care will be improved.

• Journal of Environmental Science International
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• v.26 no.2
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• pp.221-230
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• 2017

To determine the effect of air pollution reduction policies, the long-term trend of air pollutants should be analyzed. Kolmogorov-Zurbenko (KZ) filter is a low-pass filter, produced through repeated iterations of a moving average to separate each variable into its temporal components. The moving average for a KZ(m, p) filter is calculated by a filter with window length m and p iterations. The output of the first pass subsequently becomes the input for the next pass. Adjusting the window length and the number of iterations makes it possible to control the filtering of different scales of motion. To break down the daily mean $PM_{10}$ into individual time components, we assume that the original time series comprises of a long-term trend, seasonal variation, and a short-term component. The short-term component is attributable to weather and short-term fluctuations in precursor emissions, while the seasonal component is a result of changes in the solar angle. The long-term trend results from changes in overall emissions, pollutant transport, climate, policy and/or economics. The long-term trend of the daily mean $PM_{10}$ decreased sharply from $59.6ug/m^3$ in 2002 to $44.6ug/m^3$ in 2015. This suggests that there was a long-term downward trend since 2005. The difference between the unadjusted and meteorologically adjusted long-term $PM_{10}$ is small. Therefore, we can conclude that $PM_{10}$ is unaffected by the meteorological variables (total insolation, daily mean temperature, daily mean relative humidity, daily mean wind speed, and daily mean local atmospheric pressure) in Busan.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.889-898
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• 2019

The problem of missing value imputation for variables in surveys that include item missing becomes complicated if outliers and logical boundary conditions between other survey items cannot be ignored. If there are outliers and boundaries in a variable including missing values, imputed values based on previous regression-based imputation methods are likely to be biased and not meet boundary conditions. In this paper, we approach these difficulties in imputation by combining various robust regression models and multiple imputation methods. Through a simulation study on various scenarios of outliers and boundaries, we find and discuss the optimal combination of robust regression and multiple imputation method.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.1
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• pp.1-5
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• 2010

Acoustic emission(AE) has emerged as a powerful nondestructive tool to detect or monitor preexisting defects and leaks in the vessel structures. A Bragg grating based acoustic emission sensor system is developed. Various type of fiber Bragg grating sensor including the variable length of sensing part was fabricated and prototype sensor system was tested by using PZT pulser and pencil lead break sources. Two types of sensor attachment were used. First, the fiber Bragg grating sensor was attached fully to the surface using bonding agent. Second one is that one part of fiber was attached to the surface partly by bonding and the other part of fiber will be act as a cantilever. That is, the resonant frequency of the fiber Bragg grating sensor will depend on the length of sensing part. The final goal of the sensor system is to provide on-line monitoring of cracks or leaks in reactor vessel head penetration of nuclear power plants.