• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.505-514
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• 2014

This study was researched by practical method in a subjectivity study accessible in-depth, in sloughing off old habit of functional quantity analysis about food preference of an expressway resting place customer. The perception pattern come out in this study were divided into four types in Q-methodology. The result is as follows ; it is that divided '1[(N=7) : Cleanliness-selection Type], 2[(N=13) : Economy Type], 3[(N=9) : Selling-area Goodwill Type], 4[(N=10) : Self-satisfaction Type]'. Like this, it found that is very different type all over. Hereafter, this study is to ascertain acceptance behavior about reception type on food-preference of an expressway-resting-place-customer ; to offer a developmental suggestion about it.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.2
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• pp.64.2-64.2
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• 2016

Optical variability is one way to probe the nature of the central engine of AGN at smaller linear scales and previous studies have shown that optical variability is more prevalent at longer timescales and at shorter wavelengths. Especially, intra-night variability can be explained through the damped random walk model but small samples and inhomogeneous data have made constraining this model hard. To understand the properties and physical mechanism of optical variability, we are performing the KMTNet Active Nuclei Variability Survey (KANVaS). Test data of KMTNet in the COSMOS field was obtained over 2 separate nights during 2015, in B, V, R, and I bands. Each night was composed of 5 and 9 epochs with ~30 min cadence. To find AGN in the COSMOS field, we applied multi-wavelength selection methods. Different selection methods means we are looking different region in unification model of AGN, and 100~120, 400~500, 50~100 number of AGN are detected in X-ray, mid-infrared, and radio selection of AGN, respectively. We performed image convolution to reflect seeing fluctuation, then differential photometry between the selected AGN and nearby stars to achieve photometric uncertainty ~0.01mag. We employed one of the standard time-series analysis tools to identify variable AGN, chi-square test. Preliminarily results indicate that intra-night variability is found for X-ray selected, Type1 AGN are 23.6%, 26.4%, 21.3% and 20.7% in the B, V, R, and I band, respectively. The majority of the identified variable AGN are classified as Type 1 AGN, with only a handful of Type 2 AGN showing evidence for variability. The work done so far confirms that there are type and wavelength dependence of intra-night optical variability of AGN.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.7
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• pp.1149-1161
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• 2010

This study identifies the dimensions of cosmetics consumption values and the differences in cosmetics brand selection through a cosmetics consumption value group and by product type. The subjects of the study were females over age 20 living in Seoul and Gyeonggi Province between January and February 2008; 427 questionnaires were used for analysis. For data analysis the SPSS 17.0 statistical program was used, and principal component analysis, factor analysis using Varimax rotation, Cronbach's ${\alpha}$ reliability testing, cluster analysis, ANOVA test, and Duncan test were conducted. The results and conclusions of this study are as follows. The dimensions of cosmetics consumption values were found to be the pleasure value, the fashion value, the function value, the brand ostentation value, and the appearance ostentation value. Five types of groups by factor were identified: the group seeking function, the group seeking fashion and brand ostentation, the group seeking pleasure, the group seeking appearance and brand ostentation, and the indifferent group. Second, The group attaching importance to functionality was more likely to select high-priced brands while the group attaching importance to brand awareness were more likely to seek foreign brands, irrespective of product type. As far as base and color cosmetics are concerned, the group attaching importance to pleasure was more likely to select low, medium, and high priced foreign brands, as well as low and medium priced domestic brands. As for body products, the group attaching importance to fashion and brand awareness tended to select low, medium, and high priced domestic brands, as well as high priced foreign brands. By simultaneously purchasing high, medium, and low priced brands, these groups display an ambivalent consumption pattern. This study identified the differing dimensions around cosmetics consumption values and cosmetic brand selection. The research findings helps cosmetic companies set product prices and contributes to cosmetic marketing strategies.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1128-1140
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• 2002

As consumers' alternatives in fashion store selection increase, they select different store types to purchase different product types. Therefore, the probability of patronage mix behavior according to product type increases. Understanding consumers patronage mix behavior, finding out the determinant attributes of fashion stores for each product type are important to retailers and marketers for building a successful merchandising and marketing strategies. Most of the previous researches in store selection and patronage assume consumer behavior as single store patronage, and thus relatively little is known about patronage mix behavior. Also, little attention has been given to product characteristics as an important variable in store patronage behavior. The purposes of this study were to determine the effects of product characteristics in consumers patronage mix behavior. In this study, a theoretical model including product characteristics as an intervening variable between store attributes and patronage behavior was developed. A Questionnaire was developed and data were collected form 464 adult women living in Seoul area in Korea. Factor analysis, paired t-test, ANOVA, Duncan test and discriminant analysis were employed to analyze the data. As a result, the suggested model was partially verified. First, the product characteristic was found to have an effect on perceived importance of store attributes and on determinant attributes of stores. Consumers were found to use different evaluative criteria for store attributes when they purchase different product types. Second, the perceived importance of store attributes was determined by consumer characteristics as well as product characteristics. Third, the determinant attributes in store selection were affected not only by the perceived importance of store attributes but also by the type of product to be purchased.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.273-300
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• 2024

In the electronic records environment, along with discussions on ways to digitize analog records, it is important to prepare preservation strategies for each type of records produced and received electronically. In the same context, there is a need for discussion on applying a preservation format selection system with the goal of long-term preservation of data sets and audio-visual type electronic records other than document types. Audiovisual records must apply preservation strategies appropriate to the characteristics of each medium, such as images, audio, and video. This study establishes unique standards for selecting a preservation format for audio-visual electronic records through analysis of Significant Properties based on literature review, composed audio-type preservation format suitability evaluation items, and proposed a recommended format based on the results of applying them.

• Genomics & Informatics
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• v.14 no.4
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• pp.138-148
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• 2016

The success of genome-wide association studies (GWASs) has enabled us to improve risk assessment and provide novel genetic variants for diagnosis, prevention, and treatment. However, most variants discovered by GWASs have been reported to have very small effect sizes on complex human diseases, which has been a big hurdle in building risk prediction models. Recently, many statistical approaches based on penalized regression have been developed to solve the "large p and small n" problem. In this report, we evaluated the performance of several statistical methods for predicting a binary trait: stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN). We first built a prediction model by combining variable selection and prediction methods for type 2 diabetes using Affymetrix Genome-Wide Human SNP Array 5.0 from the Korean Association Resource project. We assessed the risk prediction performance using area under the receiver operating characteristic curve (AUC) for the internal and external validation datasets. In the internal validation, SLR-LASSO and SLR-EN tended to yield more accurate predictions than other combinations. During the external validation, the SLR-SLR and SLR-EN combinations achieved the highest AUC of 0.726. We propose these combinations as a potentially powerful risk prediction model for type 2 diabetes.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.14 no.2
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• pp.153-174
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• 2003

Travel motivations appear particularly useful in describing those individuals who visit a specific travel attraction versus those who do not visit the attraction. Novelty seeking is an important motivator for traveling today. In this study four factors and three groups resulting from a cluster analysis were tested in determination for 13 preference and 21 motivators. The major finding of this study are as follows: Prior consideration in oversea travel for people is to expect to contact new culture and exotic environment. In the selection of oversea travel with the level of novelty seeking traits, rhere is meaningfull diffrences. In the novelty seeking levels of leisure activities remarkable difference appeared in the selective degree variables and the examination of the gap. In the selection of oversea with the novelty seeking level it displayed meaningful differences in the 10 items. In a travel in accordance with levels of novelty seeking- which is divided into groups high, medial, and, low level of novelty seeking groups- four elements of their levels demonstrated meaningful differences, such as adventure seeking type, out-of-ordinary life type, fun seeking type and free travel type. In order words, the means of high-concerned group, medial, and ldw-concerned group showed remarkable differemndes.

• Proceedings of the KSRS Conference
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• v.1
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• pp.297-300
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• 2006

The knowledge of fuel load and composition is important for planning and managing the fire hazard and risk. However, fuel mapping is extremely difficult because fuel properties vary at spatial scales, change depending on the seasonal situations and are affected by the surrounding environment. Remote sensing has potential of reduction the uncertainty in mapping fuels and offers the best approach for improving our abilities. This paper compared the results of object-oriented classification to a pixel-based classification for fuel type map derived from Hyperion hyperspectral data that could be enable to provide this information and allow a differentiation of material due to their typical spectra. Our methodological approach for fuel type map is characterized by the result of the spectral mixture analysis (SMA) that can used to model the spectral variability in multi- or hyperspectral images and to relate the results to the physical abundance of surface constitutes represented by the spectral endmembers. Object-oriented approach was based on segment based endmember selection, while pixel-based method used standard SMA. To validate and compare, we used true-color high resolution orthoimagery

• The Korean Journal of Community Living Science
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• v.28 no.3
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• pp.429-446
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• 2017

The current study aims to identify factors associated with private tutoring of college students in Korea. For this purpose, this study used the Korean Education and Employment Panel survey, which contains items regarding whether or not college students receive private tutoring as well as the monthly costs of private lessons. The current study focuses on private English lessons due to the very low response rates of other types of private tutoring. For the analysis, the 5th wave of KEEP collected in 2008 was selected, and a Heckman selection model was employed, including three categories of variables: individual, school, and parent/household factors. The results have revealed that for the selection model (receiving private English tutoring or not), having received private lessons in high school, gender, and level of satisfaction regarding the respondent's current university were significant. In terms of the outcome model (cost for private English tutoring in college), university admission type (rolling vs. regular), living with parents, school type (4-yr university vs. others), being in debt to cover private lesson fees in high school, and monthly household income had significant effects. This article also discusses the results and implications for future research and policy makers.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.11
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• pp.630-635
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• 2004

Generation companies(Genco) submit the supply functions as a bidding function to a bid market in a competitive electricity market. The profits of Gencos vary in accordance with the bid functions, so the selection of a bidding function plays a key role in increasing their profits. In order to get a profitable bidding function which is usually linear, it is required to modify adequately the intersection and the slope of a linear supply function. This paper presents an analysis of the selection of the supply function from the viewpoint of Nash equilibrium(NE). Four types of bidding function parameters are used for analizing the electricity market. The competition of selecting bidding parameters is modeled as two level games in this research. One is a subgame where a certain type of parameters is given and the players compete to select values of the underlying parameters. The other is an overall game where the players compete to select a profitable type among the four types of parameters. The NEs in both games are computed by an using analytic method and a payoff matrix method. It is verified in case studies for the NE of overall game to satisfy the equilibrium condition.