• Culinary science and hospitality research
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• v.15 no.2
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• pp.108-120
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• 2009

This study intends to examine the effect of the teenagers' selection attribute and satisfaction of fast food menu. Sampling was taken among the students of high schools at Changwon in Kyungnam province, and a total of 400 samples were distributed, among which 306 valid samples were used for analysis. After date cording, answers were processed by SPSS 12.0. As a result of the IPA analysis, the 1st quadrant included 8 variables, the 2nd quadrant 6 variables, the 3rd quadrant 5 variables, and the 4 quadrant 8 variables. Also, as a result of the factor analysis for menu selection attribute, 5 factors(atmosphere, food, staff, comfort, compensation) were extracted. It was found that only food has a statistically significant impact on satisfaction with fast food.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.3 s.28
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• pp.351-361
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• 1988

The purpose of this study was to investigate the relationships between fashion style adoption and consumers' demographic characteristics, selection criteria and use of fashion information sources respectively and find out how their concerned variables influenced high fashion style adoption. For this study, the questionnaire was administered to a sample of 554 female adults in Kwangju. frequency distribution, Mean, Pearson's Correlation, Analysis of variance and Path Analysis were used fer the statistical analysis. The results obtained were as followers. 1) Level of fashion style adoption showed a normal distribution like a wave. 2) Consumer's demographic characteristics variables, such as age, educational level and income significantly associated with fashion style adoption. Younger consumers adopted tile high fashion style 41)an more aged consumers. while consumers in higher educational and income level adopted high fashion style than consumers in lower. 3) Among individuality, conformity, practicality and economy in selection criterias, only individually and practicality associated with fastion style adoption in clothing purchase. In the case of the high fashion style adoption, purchasing with individuality was increased, while purchasing with practicality was decreased. 4) The use of marketer dominated sources in fashion information sources significantlyassociated with fashion style adoption. In the case of high fashion style adoption, the use of marketer dominated and neutral information sources was higher. 5) The use of marketer dominated information sources had a main effect on high fashion style adoption in clothing purchase. Especially in the group composed of college students and occupational women, individuality and praticality as selection criterias came to be important effects. While in the group composed of housewives and non-occupational single women, age, educational level and income came to be important effects.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.51-63
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• 2001

In supervised machine learning, an induction algorithm, which is able to extract rules from data with learning capability, provides a useful tool for data mining. Practical induction algorithms are known to degrade in prediction accuracy and generate complex rules unnecessarily when trained on data containing superfluous features. Thus it needs feature subset selection for better performance of them. In feature subset selection on the induction algorithm, wrapper method is repeatedly run it on the dataset using various feature subsets. But it is impractical to search the whole space exhaustively unless the features are small. This study proposes a heuristic method that uses sensitivity analysis of neural networks to the wrapper method for generating rules with higher possible accuracy. First it gives priority to all features using sensitivity analysis of neural networks. And it uses the wrapper method that searches the ordered feature space. In experiments to three datasets, we show that the suggested method is capable of selecting a feature subset that improves the performance of the induction algorithm within certain iteration.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.117-124
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• 2014

Cluttered background is a major obstacle in developing salient object detection and tracking system for mobile device captured natural scene video frames. In this paper we propose a context aware feature vector selection model to provide an efficient noise filtering by machine learning based classifiers. Since the context awareness for feature selection is achieved by searching nearest neighborhoods, known as NP hard problem, we apply a fast approximation method with complexity analysis in details. Separability enhancement in feature vector space by adding the context aware feature subsets is studied rigorously using principal component analysis (PCA). Overall performance enhancement is quantified by the statistical measures in terms of the various machine learning models including MLP, SVM, Naïve Bayesian, CART. Summary of computational costs and performance enhancement is also presented.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.271-283
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• 2015

The purpose of current study was to find differences of selected attributes and visitors of responses according to their lifestyle as perceived by Pocheon Yidong-BBQ-Galbi Festival participants. Survey method was employed and total 370 data was used for statistical analysis. The results of factor analysis showed that three factors were extracted from lifestyle(Activity, Example, Commonness), and four factors were found from festival selection attribute(Food, Service, Program, Cleanliness). In addition, three clusters(Outgoing personality, Gentle character, Normal character) were extracted from the result of cluster analysis. The result of chi-square shows that selection attributes are significantly different by clusters of festival. Therefore the festival host need to focus on various kinds of BBQ along with diverse foods and activities to make attractive cultual experience festival for visitors who visited with family. Additionally, all selection attributes except clearness have significantly influence on responsive relationship. Thus, the organizer should make an effort to provide high quality of various selection attributes. Current study will be contribute to develop various and fascinating local festival expecially related to food.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.9
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• pp.3016-3033
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• 2014

The downlink performance of distributed antenna systems (DAS) with antennas selection is investigated in Rayleigh fading multicell environment, and the corresponding system capacity and bit error rate (BER) analysis are presented. Based on the moment generating function, the probability density function (PDF) and cumulative distribution function (CDF) of the effective signal to interference plus noise ratio (SINR) of the system are first derived, respectively. Then, with the available CDF and PDF, the accurate closed-form expressions of average channel capacity and average BER are further derived for exact performance evaluation. To simplify the expression, a simple closed-form approximate expression of average channel capacity is obtained by means of Taylor series expansion, with the performance results close to the accurate expression. Besides, the system outage capacity is analyzed, and an accurate closed-form expression of outage capacity probability is derived. These theoretical expressions can provide good performance evaluation for DAS downlink. It can be shown by simulation that the theoretical analysis and simulation are consistent, and DAS with antenna selection outperforms that with conventional blanket transmission. Moreover, the system performance can be effectively improved as the number of receive antennas increases.

• Journal of Distribution Science
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• v.17 no.1
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• pp.73-87
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• 2019

Purpose - This research aims to investigate the effects that the selection of oriental medicine cosmetics and brand asset attributes have on consumers' economic, emotional and social values in order to shed light on the forms and characteristics of consumption within the globally developing oriental medicine cosmetics market, and in the end positively verify how such perceived values affect purchase intention. In addition, it proposes research outcomes by comparing the differences between national and cultural consumer purchase behavior based on the comparisons of consumer groups in South Korea and China, the major markets for oriental medicine cosmetics. Research design, data, and methodology - Based on advanced research a total of 9 hypotheses were designed and questionnaires consisting of 16 questions to identify six major variables were conducted. Research was carried out centered on Seoul, South Korea, and its surrounding metropolitan area as well as Beijing and Shanghai, China, and a total of 577 sets of significant data were collected. A comparison analysis was then conducted on the data from 285 Koreans and 292 Chinese. A regression analysis and path analysis were also carried out based on a structural equation model to suggest results. Results - Research results show brand value assets had a more crucial impact on consumers' perceived value than consumer selection of oriental medicine cosmetics, while emotional value had a bigger effect on purchase intension than social or economic values. For Chinese consumers in particular, social, economic and emotional values affected purchase intention, while emotional value was the most crucial factor for Korean consumers. Conclusions - With oriental medicine cosmetics, brand characteristics and images that helped express emotional desire proved to be more effective in marketing than the performance aspect of cosmetics, including their functions and ingredients. In the end, products that highlight individual desire and emotion should be introduced instead of those that emphasize price, functions and social characteristics in order to expand the global market of oriental medicine cosmetics.

• The Korean Journal of Applied Statistics
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• v.31 no.6
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• pp.721-732
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• 2018

Latent class analysis (LCA) is an important tool to explore unseen latent groups in multivariate categorical data. In practice, it is important to select a suitable set of variables because the inclusion of too many variables in the model makes the model complicated and reduces the accuracy of the parameter estimates. Dean and Raftery (Annals of the Institute of Statistical Mathematics, 62, 11-35, 2010) proposed a headlong search algorithm based on Bayesian information criteria values to choose meaningful variables for LCA. In this paper, we propose a new variable selection procedure for LCA by utilizing posterior probabilities obtained from each fitted model. We propose a new statistic to measure the adequacy of LCA and develop a variable selection procedure. The effectiveness of the proposed method is also presented through some numerical studies.

• The Korean Journal of Archival Studies
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• no.67
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• pp.139-203
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• 2021

The study aims to analyze the records management reference tables currently being utilized and to provide directions on how should be redesigned in the future to operate as a appraisal tool for national archives. From the perspective of "what records should be the national archives", it was intended to analyze the records management reference tables, particularly in the environmental public authorities, and to propose future improvements. The main focus of the analysis is on appraising records that need to be preserved as national archives, and therefore, prior to analysis of the tables, it examines whether the archival selection criteria are clearly presented. Subsequently, the study is conducted how to implement this criteria through the records management reference table of each agency and how its implementation system will be constructed. The analysis will be focused on Ministry of Environment's records management reference table and records schedules or appraisal/selection tools of the central and federal institutions that perform environmental functions in U.S., Australia, and UK.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.109-117
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• 2008

This research analyzed which average comparisons and differences between groups' view motive and selection for information sources, product properties with theater animation spectator. Based on view frequency, each of groups' organization were classified to heavy, occasional, and thinly viewers. As average comparison analysis result, firstly, view motive appeared in order to "want to see animation", "to spend time and leisure activity", "to enjoy fun activity", and "because of others canvassing or recommendation", etc. Secondly, view selection for information source appeared in order to "rumor circumstance or reputation", "theater or TV previews", "internet evaluation and grade", etc. At last, view selection for practical property appeared in order to "story", "character", "special effects", "background music", "background art", "director/directing", "manufacturer/nation", and "dubbing of artist". As difference between group result, view motive and selection for product properties appeared significant differences between each of group. To the contrary, view selection for information sources did not appeared significant differences between each of group.