• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.11a
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• pp.9-14
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• 2003

The major reason that spatial data warehousing has attracted a great deal of attention in business GIS in recent years is due to the wide availability of huge amounts of spatial data and the imminent need for turning such data into useful geographic information. Therefore, this research has been focused on designing and implementing the pilot tested system for spatial decision making. The purpose of the system is to predict targeted marketing area by discriminating the customers by using both transaction quantity and the number of customer using credit card in department store. Focused on the analysis methodology, the case study is aiming to use GIS and clustering for knowledge discovery. The system is a key section of the research of multi-dimensional and spatio-temporal analysis in the internet environment.

• Journal of the Korean Home Economics Association
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• v.49 no.8
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• pp.113-124
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• 2011

The aim of this study is to conduct an evaluation review of the contents of the career education unit in textbooks on technology and home economics for senior high school freshmen. This study adopted the "Objective & System of Career Education" established by the Korea Research Institute for Vocational Education & Training as the criterion for evaluating the content of career education, and targeted the unit, "Design of Vocation & Careers", which was included in six different textbooks on technology and home economics for senior high school freshmen involving five different publishers. The unit of "Design of Vocation & Careers" was mostly written in three subunits. An analysis of the textbooks by different, publisher showed that every aspect of the "Objective & System of Career Education" was appropriately covered in the unit. This was achieved by means of the elements of contents and illustrations.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.1
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• pp.39.1-39.1
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• 2016

The cosmic distance can be precisely determined using a 'standard ruler' imprinted by primordial baryon acoustic oscillation (hereafter BAO) in the early Universe. The BAO at the targeted epoch is observed by analyzing galaxy clustering in redshift space (hereafter RSD) of which theoretical formulation is not yet fully understood, and thus makes this methodology unsatisfactory. The BAO analysis through full RSD modeling is contaminated by the systematic uncertainty due to a non--linear smearing effect such as non-linear corrections and uncertainty caused by random viral velocity of galaxies. However, BAO can be probed independently of RSD contamination using the BAO peak positions located in the 2D anisotropic correlation function. A new methodology is presented to measure peak positions, to test whether it is also contaminated by the same systematics in RSD, and to provide the radial and transverse cosmic distances determined by the 2D BAO peak positions. We find that in our model independent anisotropic clustering analysis we can obtain about 2% and 5% constraints on $D_A$ and $H^{-1}$ respectively with current BOSS data which is competitive with other analysis.

• Mass Spectrometry Letters
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• v.9 no.4
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• pp.110-114
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• 2018

Since accumulation of chemicals in deciduous teeth can occur from the second trimester of fetal development to shedding, a deciduous tooth has been considered as an attractive biomatrix for estimating individual chemical exposures recently. Therefore, detection of organic chemicals from teeth has received an increasing attention in exposomics research. Most previous studies on organic chemical analysis of teeth not only focused on a few targeted chemicals but also ignored potential contaminants from an enamel surface or a dental pulp. Recently, our group started developing a multi-class organic analysis method for deciduous teeth and tried to find a proper incubation condition of tooth materials. Our results showed that incubation with methanolic HCl provided the best performance among tested.

• Journal of Korean society of Dental Hygiene
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• v.18 no.6
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• pp.933-946
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• 2018

Objectives: This study analyzed smoking trends by year in the relationship between smoking and oral health. Methods: This study targeted adults older than 19 years. To investigate the relationship between smoking and oral health status, composite sample Chi-square analysis and composite sample logistic regression analysis were performed using the fifth and sixth Korean National Health and Nutritional Examination Surveys. Results: Higher percentages of smokers were males in their 30s, high school graduates, single, with annual drinking habits, and higher stress perception. Analysis of smokers by year showed that smokers' rates decreased in all groups. Conclusions: This study suggests that smoking and sociodemographic factors are relevant to oral health status. The findings may be useful for informing the development of a personalized oral health promotion program for smokers.

• Communications for Statistical Applications and Methods
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• v.26 no.4
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• pp.411-430
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• 2019

Tumor development is driven by complex combinations of biological elements. Recent advances suggest that molecularly distinct subtypes of breast cancers may respond differently to pathway-targeted therapies. Thus, it is important to dissect pathway disturbances by integrating multiple molecular profiles, such as genetic, genomic and epigenomic data. However, missing data are often present in the -omic profiles of interest. Motivated by genomic data integration and imputation, we present a new statistical framework for pathway significance analysis. Specifically, we develop a new strategy for imputation of missing data in large-scale genomic studies, which adapts low-rank, structured matrix completion. Our iterative strategy enables us to impute missing data in complex configurations across multiple data platforms. In turn, we perform large-scale pathway analysis integrating gene expression, copy number, and methylation data. The advantages of the proposed statistical framework are demonstrated through simulations and real applications to breast cancer subtypes. We demonstrate superior power to identify pathway disturbances, compared with other imputation strategies. We also identify differential pathway activity across different breast tumor subtypes.

• East Asian mathematical journal
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• v.38 no.1
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• pp.65-84
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• 2022

This paper is based on Yanbian University's physical test data, and uses statistical analysis methods to study the relationship between college students' physical test scores to promote college physical education. Firstly, using gender as categorical variables, we conduct a general analysis of students in different majors and different grades, and obtain the advantages and disadvantages of male and female college students; then we use Decision Trees and Random Forest algorithms to conduct modeling analysis to provide valuable suggestions for relevant departments of the university. the aiming of this research analyzing about the undergraduates physical test is that giving universities the targeted suggestions to improve the college graduate rate and promote the overall development of higher education, lay the foundation for achieving universal health.

• Culinary science and hospitality research
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• v.23 no.5
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• pp.48-57
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• 2017

This study aims to analyze the relationships among brand value, brand trust, and brand loyalty of dessert cafes and to verify the mediating effect of brand trust in the relationship between brand value and loyalty. This study targeted eight dessert cafes located in Seoul, and a survey with customers aged 20 or over was conducted over 11 days from April 10th to 21th, 2017. A total of 230 self-administered questionnaires were distributed, and 205 questionnaires (89.13%) were included for the data analysis after the exclusion of 25 incomplete and unreliable responses. Every data used for analysis went through frequency analysis, reliability test, exploratory factor analysis, simple regression analysis, multiple regression analysis, mediator effect analysis, and Sobel test using the SPSS 18.0 analysis program. The study results revealed that brand value had a significant positive relationship to brand trust, and brand trust had a significant positive relationship to brand loyalty. Also, brand value had a significant positive relationship to brand loyalty, and brand trust mediated the relationship between brand value and loyalty. Based on these findings, the discussion to enhance brand loyalty of dessert cafes were suggested.

• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.13-24
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• 2020

This study analyzed the management efficiency of local food stores that are increasing recently. The analysis targeted 25 local food outlets in Jeonbuk area, and the analysis method analyzed the efficiency by CCR model. The input variables used to analyze the input-oriented efficiency of local food stores are business expenses, employees, organizational number of participating farms, and number of items, and sales are used as output variables. The main contents of the analysis are as follows. First, local food outlets increased due to support projects such as the government, local governments, and agricultural cooperatives, but their dependence was high. Second, the management efficiency of 25 local food stores in Jeonbuk is 28.0% when the efficiency is 1.000, and 72.0% of inefficient local food stores. Third, considering the projection point and the reference group, there was room for improvement in input variables. Therefore, it was determined that improvement efforts are needed to secure the continuity of local food outlets in the future. However, this study will require review of variable selection and analysis methods for further analysis.

• Journal of Korean Academy of Nursing
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• v.43 no.5
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• pp.587-594
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• 2013

Purpose: The purpose of this study is to provide researchers with a simplified approach to undertaking exploratory factor analysis for the assessment of construct validity. Methods: All articles published in 2010, 2011, and 2012 in Journal of Korean Academy of Nursing were reviewed and other relevant books and articles were chosen for the review. Results: In this paper, the following were discussed: preliminary analysis process of exploratory factor analysis to examine the sample size, distribution of measured variables, correlation coefficient, and results of KMO measure and Bartlett's test of sphericity. In addition, other areas to be considered in using factor analysis are discussed, including determination of the number of factors, the choice of rotation method or extraction method of the factor structure, and the interpretation of the factor loadings and explained variance. Conclusion: Content validity is the degree to which elements of an assessment instrument are relevant to and representative of the targeted construct for a particular assessment purpose. This measurement is difficult and challenging and takes a lot of time. Factor analysis is considered one of the strongest approaches to establishing construct validity and is the most commonly used method for establishing construct validity measured by an instrument.