• Journal of architectural history
• /
• v.22 no.1
• /
• pp.7-14
• /
• 2013

Because of the demographic and economic changes and the lifestyle diversification, the new housing types such as the Quasi-housing and urban small-size multi-unit housing are appeared in korea. The current housing use classifications are regulated in accordance with the housing divided ownership, horizontal and vertical size of housing, and the number of units. However, there is a limit to accommodate the new housing type. Therefore, this study proposed the direction of improvement of the housing use classifications through comparative analysis of foreign housing use classifications. Also, building regulations are applied according to the building use classifications. Therefore, the new housing types in building act are very urgent and important. So this study is derived the problems of the current housing use classifications and is proposed the improvement direction of it through the expert opinion survey.

• Culinary science and hospitality research
• /
• v.11 no.2
• /
• pp.32-47
• /
• 2005

As wine is increasingly becoming a lifestyle beverage among local consumers, there is a great need to understand wine consumer profiles. According to the research of this study, there is a clear evidence that four wine consumer groups exist in the Korean domestic wine market. Wine consumers are classified into four different groups: connoisseurs, aspirants, newcomers, and outsiders. This study has shown that wine with rich aroma and red wine preferred the most and young wine and white wine are the least selected in general.

• Journal of the Korean housing association
• /
• v.21 no.3
• /
• pp.41-52
• /
• 2010

The purpose of this study is to clarify multi-habitation, a new phenomenon in which inhabitants in urban areas reside in primarily condominiums on weekdays and retreat to dwellings in rural areas on weekends, and to examine the various life styles related to multi-habitation. Through the interviews and site surveys, three major subtypes of multi-habitation were identified to support the theoretical framework: interchange style, sedentary style, and special style. Findings include that first, in order to discuss multi-habitation, the terms primary home and secondary home are introduced. Based on the concept of primary home and secondary home, a variety of multi-habitation can be described using spatial locations in urban and rural areas. Second, systematic deregulation for the second home ownership should be made to promote citizens' interchange. Also urban residents should make more efforts to integrate into rural communities. Third, for some remote areas such as Cheju Island, it is observed that multi-habitation is limited by cost, time, and lifestyle.

• Industrial Engineering and Management Systems
• /
• v.15 no.1
• /
• pp.110-121
• /
• 2016

With the growing interest in skincare and maintenance, there are increasing numbers of studies on the classification of skin type and the factors influencing each type. This study presents a novel methodology by using data mining, for the determination of the relationships between skin type, lifestyle, and patterns of cosmetic utilization. Eight skin-specific factors, which are moisture, sebum in U-zone (both cheeks), sebum in T-zone (forehead, nose, and chin), pore, melanin, wrinkle, acne, hemoglobin, were measured in 1,246 subjects living in South Korea, in conjunction with a questionnaire survey analyzing their lifestyles and pattern of cosmetic utilization. Using various multivariate statistical methods and data mining techniques, we classified the skin types based on the skin-specific values, determined the relationship between skin type and lifestyle, and accordingly sorted the subjects into clusters. Logistic regression analysis revealed gender-related differences in the skin; therefore, separate analyses were performed for males and females. Using the Gaussian Mixture Modeling (GMM) technique, we classified the subjects based on skin type (two male and four female). Using the ANOVA and decision tree techniques, we attempted to characterize the relationship between each skin type and the lifestyles of the subjects. Menstruation, eating habits, stress, and smoking were identified as the major factors affecting the skin.

• Journal of Information Technology Services
• /
• v.16 no.1
• /
• pp.119-138
• /
• 2017

Mobile easy payment is a term for using mobile devices to facilitate financial transactions. Mobile easy payment is a quickly emerging practice, supported by the dramatic increase of mobile phone or device users around the world. The purpose of this study is to classify user's group of the mobile easy payment service by their lifestyle based on I-VALS type and to investigate differences in usage behavior among the user groups. For empirical study, a questionnaire survey was carried out with users of mobile easy payment services using the Internet from June 7 to 10 in 2016. We conducted factor analysis for I-VALS, usage factors, satisfaction factors. We also performed cluster analysis for group classification, and analysis of variance, cross analysis to compare the different usage behavior among the user groups. In analysis results, first three cluster appeared including "ICT task-oriented group", ICT positive and socialities oriented group", "ICT leader-oriented group". Second, it was found significant differences among the clusters about factor of "easy of use", "securities", "universality", "satisfaction". Third, we showed that there were significant differences in time first used the service. Based on these findings, we provide practical implications. Results of our study can be expected to provide the basis of differentiated marketing strategy of mobile easy payment services.

• The Korean Journal of Food & Health Convergence
• /
• v.8 no.1
• /
• pp.1-7
• /
• 2022

This study classified subjects aged 30 to 64 into normal group, impaired fasting glucose group, and diabetes mellitus patient group based on data from the 6th period of the National Health and Nutrition Examination Survey (2013-2015). Skipping breakfast, lack of physical activity, inadequate sleep time, inadequate weight, excessive drinking, and current smoking are classified as a low health risk group when three or less items are present, and a high health risk group when three or more items are included. By classification, each item included in the physical measurement and biochemical analysis factors and health risk behavior factors was comparatively analyzed. As a result, in the normal group, impaired fasting glucose group, and diabetes group, the average age was higher in the group with high health risk factors than the group with low risk factors, and the male ratio was higher. Body mass index, waist circumference, blood pressure, triglyceride showed a significantly higher result. In the normal group, the fasting blood glucose level and total cholesterol level were also higher in group 2. Therefore, it is thought that it is necessary to control health risk behaviors through lifestyle changes in the normal group, fasting glucose disorder group, and diabetes group.

• Journal of Fashion Business
• /
• v.14 no.5
• /
• pp.78-92
• /
• 2010

The culture phenomenon, which the desire of self expression is noticeable and the diversity of gender identity is widely accepted, simply makes a difference in the lifestyle of one human being rather than the dichotomous classification of male and female. Now, the delicate and aesthetic sensitivity classified as the feminine characteristics is no longer the exclusive property of female and this refers to substituting it as a social gender from the concept of biological sex. This phenomenon has influenced on the male culture and is creating various codes according to the cultural gender extended from the gender as a social role. Also, the transition into the western lifestyle has extended the aesthetic emotion to accommodate new codes from the diversification and globalization of lifestyle. The mansumer power, which does not care too much about the money for the emotionally attached items, has enabled various fashion styles. After analyzing the diversified clothing behavior conducted by these people in connection with the social phenomenon, First, this shows the phenomenon of emotional value pursuit that finds pleasure over the clothing as the item of augmented reality is added to the concept of play, in which the real space referred to as garment and virtual space of playing the rock, paper and scissors game meet together within the augmented reality. Second, the convergence concept has enabled the coordination of new style by obscuring the area of design concept and this refers to the changes in design from the development of new items and transformation into double-style details. Third, the divergence that intensively provides specific use/convenience and specialized value shows a change in the fashion market from the phenomenon that admits various gene rations of culture and specifically, takes differently about the recognition of middle-aged males. Fourth, the variety seeking tendency receives attention as the value of future design together with the phenomenon of discriminative value pursuit. In the male fashion, it is linked to the collaboration with the design area and this tells that the fashion with the narcissistic cross-dressing and motto of neutral gender without being sided to male/female is rising.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.2
• /
• pp.370-396
• /
• 2024

COVID-19 was declared a pandemic by the World Health Organization (WHO) on 30 January 2020. The lifestyle of people all over the world has changed since. In most cases, the pandemic has appeared to create severe mental disorders, anxieties, and depression among people. Mostly, the researchers have been conducting surveys to identify the impacts of the pandemic on the mental health of people. Despite the better quality, tailored, and more specific data that can be generated by surveys,social media offers great insights into revealing the impact of the pandemic on mental health. Since people feel connected on social media, thus, this study aims to get the people's sentiments about the pandemic related to mental issues. Word Cloud was used to visualize and identify the most frequent keywords related to COVID-19 and mental health disorders. This study employs Majority Voting Ensemble (MVE) classification and individual classifiers such as Naïve Bayes (NB), Support Vector Machine (SVM), and Logistic Regression (LR) to classify the sentiment through tweets. The tweets were classified into either positive, neutral, or negative using the Valence Aware Dictionary or sEntiment Reasoner (VADER). Confusion matrix and classification reports bestow the precision, recall, and F1-score in identifying the best algorithm for classifying the sentiments.

• Clinical Nutrition Research
• /
• v.12 no.2
• /
• pp.138-153
• /
• 2023

The prevalence of metabolic syndrome (MetS) and its cost are increasing due to lifestyle changes and aging. This study aimed to develop a deep neural network model for prediction and classification of MetS according to nutrient intake and other MetS-related factors. This study included 17,848 individuals aged 40-69 years from the Korea National Health and Nutrition Examination Survey (2013-2018). We set MetS (3-5 risk factors present) as the dependent variable and 52 MetS-related factors and nutrient intake variables as independent variables in a regression analysis. The analysis compared and analyzed model accuracy, precision and recall by conventional logistic regression, machine learning-based logistic regression and deep learning. The accuracy of train data was 81.2089, and the accuracy of test data was 81.1485 in a MetS classification and prediction model developed in this study. These accuracies were higher than those obtained by conventional logistic regression or machine learning-based logistic regression. Precision, recall, and F1-score also showed the high accuracy in the deep learning model. Blood alanine aminotransferase (β = 12.2035) level showed the highest regression coefficient followed by blood aspartate aminotransferase (β = 11.771) level, waist circumference (β = 10.8555), body mass index (β = 10.3842), and blood glycated hemoglobin (β = 10.1802) level. Fats (cholesterol [β = -2.0545] and saturated fatty acid [β = -2.0483]) showed high regression coefficients among nutrient intakes. The deep learning model for classification and prediction on MetS showed a higher accuracy than conventional logistic regression or machine learning-based logistic regression.

• Korean Institute of Interior Design Journal
• /
• v.18 no.6
• /
• pp.158-165
• /
• 2009

Ever since the industrial revolution, large cities have become a field of new lifestyle and urbanization, causing climate change and environmental pollution. As a result, countermeasures for revolving these problems is needed. In addition, large cities in the information age have become a space where each nation executes its public policy to express the competitiveness of each city. In this study, countermeasures for the environmental crises caused by urbanization as well as the sustainable spatial designs for the cities are investigated as a new source of urban competitiveness, and the environmental aesthetics for designing public space is considered. The purpose of this study is to suggest a direction for sustainable designs and planning that is applicable to public space. According to the definition of sustainability, the items of the spatial implementation of ecological, economical and social sustainability are categorized. Based on this categorization, the sustainable designs of public space are classified into five types, and a comprehensive analysis of good public spaces from previous literature is conducted. The concepts of design and three elements--public space, sustainability, and their instrumental meanings, are integrated in this study. The significance of this study lies in the actual application of the classification to the planning and design of sustainable public space in cities, rather than being a conceptual classification.