• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.3
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• pp.51-63
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• 2011

The purpose of this study is to create a landscape image that considers the selection of techniques that can enhance landscape reproduction in streetscape evaluation using 3 dimensional simulations and to evaluate ways to verify similarities and the psychological changes on the part of users by season. In the comparison of technique, the Low(apply normal map) technique was selected for the natural representation of trees in a near and middle view and the Plane technique was selected for the distant view. As the result of the verification, all indicators of physical similarity were evaluated over 4.50 points and most indicators of psychological similarity were found to have no difference except for indicators of 'disordered orderly' and 'dirty - clean'. According to the results of analyzing the landscape simulation by season, images of 'bright', 'beautiful', and 'static', etc., were evaluated high for the spring streetscape. The images of 'open', 'refresh', and 'animate' appeared high in summer and images of 'warm' and 'dark' were found to be high in fall. On the other hand, all images were evaluated as low except for the 'orderly' image. In the preference of streetscape by season, summer and spring were highly preferred at 5.01 and 4.98 with winter as the lowest at 3.48. As the results of the analysis of preference factor, the spring streetscape was found to be a major influence in preference by 0.540 in 'aesthetics'. In the case of summer, 'order' was found to be high at 0.417 while influences in preference included 'variety' and 'aesthetics' in fall and 'variety', 'aesthetics', and 'order' in winter. A determination of suitable spatial planning using a comparative analysis of various city streets will be enabled through the methods of this study.

• Journal of the Korean Society of Food Culture
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• v.14 no.3
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• pp.259-269
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• 1999

The purpose of this study was to investigate the eating behavior, food preference and nutrition knowledge according to the body style of male college students. The subjects were 219 male students enrolled in University, Taegu. The data was collected by using a survey questionnaire and an anthropometric measurement. The results were summarized as follows: The mean height, weight and BMI of subjects were $173.8{\pm}8.7cm,\;65.8{\pm}7.9Kg,\;and\;21.9{\pm}2.4$, respectively. The subjects were divided into three groups according to the BMI: underweight group(<20); normal group(20-25); and overweight group(>25). One third of the subjects preferred to gain weight(33.8%); 47 subjects preferred to lose weight(21.5%); and the rest of the subjects satisfied their physique(44.7%). Most of subjects considered 'supper' as the most important meal during a day. Among the food items, the most frequently and evenly ingested item by subjects was 'Kimchi' : 'Ham and sausage' was the least preferred food among subjects. There was no significant difference in preference among three groups and almost half of the subjects had irregular meal time because of busy schedule. The preference for meat showed high score among underweight group; on the other hand, the preference for fruits and vegetables showed high score among overweight group. Usually subjects gained nutrition knowledge through media including newspaper, magazine and TV. There was no significant difference of the nutrition knowledge score among three groups. Based on these results, nutrition education program for the college student should be arranged in the classes.

• International Commerce and Information Review
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• v.15 no.1
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• pp.3-34
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• 2013

This research, which was experimented by dividing tangible and intangible products, established the influence that affects recovery for consumers' complaint behavior and behavioral intention as per each different compensation program. In Experiment 1, the consumers, who experienced complaint behavior owing to company's mistake, have preferably recovered through the compensation program offered by the company. However, there was a significant difference in preference recovery between products that caused complaint behavior. According to the study result, the more clear preference recovery was shown in the case of purchasing laptop than the case of dining in family restaurant. Additionally, the consumers' emotion recovery was possible through compensation.; There was a emotion recovery disparity depending on product type between purchasing laptop case and dining in family restaurant case. The consumers, who experienced complaints, were only able to recover their preference, emotion, and behavioral intention through compensation of which recovery was greater in tangible product case than ordinary service. Meanwhile, there was no distinct difference between recovery compensation types even though the products were identical-type ones whereas it appeared that such tangible product which showed greater purchasing effort as laptop computer was more effective in stimulating emotion response. In Experiment 2, the purpose was to find out the difference between complaint behavior and its recovery process shown after purchase by Korean and Japanese college students, who have different consumer purchasing habits. The both consumers of the two countries, who experienced complaint behavior, demonstrated precise difference in preference recovery while the emotion and behavioral intention exhibited no disparity between the two consumer groups. In this experiment, it was learned that Korean college students were show-off purchase type consumers while on the other hand, the Japanese college students were famous product purchase type consumers. Thus, there was a clear difference in laptop computer purchase process and post-purchase evaluation between these two groups. In particular, the Korean college students had quicker preference recovery through compensation than the Japanese college students on account of their tendency to be consciousness of others. Nevertheless, there was no difference between the emotion recovery and re-purchase recovery and therefore, the compensation program for complaints was proven to affect the emotion and behavioral intention.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.

• Journal of the Korean Society of Food Culture
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• v.20 no.5
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• pp.608-614
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• 2005

The object of this research is to analyze and classify the dining-out behavior and preference on Korean food by age groups and to make counter proposals for better marketing and planning strategies. Major dining out motives were lack of time, the easiness of preparation, and schedule. For lunch, the schedule was the major dining-out motive. For dinner, the respondents in their 30s and below answered social gathering was their major dining-out motive (40.7% and 31.3% respectively). On the other hand, for the respondents in their 40s and 50s, the family gathering was the major dining motive (50.4% and 55.3% respectively) (${\chi}^{2}=68.081,\;p<0.001$). For dining out frequency, 1-2 dining out per a week had the highest percentage, among which the respondents in their 30s was 42.9% (the highest) and the respondents in their 50s was 18% (the lowest). For the dining-out cost, the respondents in their 30s and below spent more on dinner rather than breakfast or lunch. For the menu preference of Korean foods, Doenjangjigae had the highest percentage. In case of Kimchi, the respondents in their 40s showed higher preference than the respondents in their 30s. Interestingly, the preference for Kimchi was higher in the respondents younger than 30 rather than in the respondents in their 30s. and the respondents older than 40 (p<0.05). Preference for Jangachi was considerably low in the respondents younger than 40, which implies that younger people don't incline to traditional Korean Mitbanchan. The dining-out motive was different in each age group. Now, the dining out motive is not restricted to home meal replacement. Social gatherings are increasing and the consumers of dining-out industry are being diversified. These suggest the increased need for classifying and analyzing the consumers by age groups to get more information on consumer behavior and tastes.

• Journal of Energy Engineering
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• v.25 no.4
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• pp.93-102
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• 2016

Vehicle-to-Grid (V2G) system, bi-direction power trading technology, enables drivers possessing electric vehicle to sell the spare electricity charged in the vehicle to power distribution company. The drivers gain profit by charging electricity in the day time of high electricity rate. In this regard, the government is preparing the policies of building and supporting V2G infrastructure and demanding the potential consumers' preference for the V2G system. This paper attempts to analyze the consumers' preference using the data from obtained a survey of randomly selected 1,000 individuals. To this end, choice experiment, an economic technique, is employed here. The attributes considered in the study are residual amount of electricity, electricity trading hours, required plug-in time, and price measured as an amount additional to current gasoline vehicle price. The multinomial logit model, which requires the assumption of 'independence of irrelevant alternatives', is applied but the assumption could not be satisfied in our data. Thus, we finally utilized nested logit model which does not require the assumption. All the parameter estimates in the utility function are statistically significant at the 10% level. The estimation results show that the marginal willingness to pay (MWTP) for one hour increase in electricity trading hours is estimated to be KRW 1,601,057. On the other hand, a one percent reduction in residual amount of electricity and one hour reduction in required plug-in time in V2G system are computed to be KRW -91,911 and -470,619, respectively. The findings can provide policy makers with useful information for decision-making about introducing and managing V2G system.

• Food Science of Animal Resources
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• v.26 no.4
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• pp.418-425
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• 2006

This study was conducted to evaluate extraction properties of crude saponin and ginsenosides, and their effects on sensory properties of emulsified pork sausage. Non-dried ginseng root was boiled in 0 (e.g., 100% distilled water), 20, 40, 60, 80 or 100% ethanol, and powdered by a freezing dry method. Weight of dried powder for the 0% ethanol extraction was 20% of initial non-dried ginseng weight, while $20{\sim}80%$ and 100% ethanol extractions resulted in approximately 15 and 10% of their initial weights, respectively. On the other hand, crude saponin content in the dried powder was linearly increased for a higher ethanol content where 100% ethanol extraction resulted in 123.52 mg/g. LC/MS analysis of crude saponin for quantifying ginsenosides showed that Rb1, Rb2 and Rc were significantly (p<0.05) higher levels for both 80 and 100% ethanol extractions. In the case of Rg1 ginsenoside, 60, 80 and 100% ethanol extractions resulted in significantly (p<0.05) higher levels. Emulsified pork sausages containing 0, 1 or 2% ginseng extracts were smoked or non-smoked and their sensory characteristics and preference were evaluated. Smoking process significantly (p<0.05) decreased juiciness and tenderness, but the treatment significantly (p<0.05) improved flavor and consumer preference. It was particularly noticed that a 2% addition of ginseng extract prevented the adverse effects of smoking process on juiciness and tenderness while the 2% addition significantly (p<0.05) improved consumer preference. The current results implied that addition of ginseng extract in emulsified pork sausage could improve sensory quality.

• Korean journal of food and cookery science
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• v.1 no.1
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• pp.82-93
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• 1985

An investigation was conducted on Seoulites' meals outside home by age group and sex, and the resultant findings are as follows: 1. To effectively conduct this survey were taken 201 teen males, 242 teen females, 202 young males, 232 young females, 219 men and 195 women. 2. For the kinds of meals they have outside home, breakfast forms 0.7%, lunch 35.7%, supper 22.2%, and snacks 14.4%. 3. Men subjects "lunch out everyday" by 39.9%, young males by 30.7%, and young females by 29%. 4. The reason why they lunch out indicates "convenient" by 37.4%, "carrying a lunch box is inconvenient" by 21.2%, "hard to prepare the lunch box" by 12.9%. 5. Regarding the favorite food taken for lunch, almost all the men prefer Korean food by 73.9% 6. Ra Myun and noodle occupy the highest Percentage of young females by 79.3% ; Chinese food the highest percentage of women by 27.7%, but the lowest percentage come from Japanese food by 1.1%. 7. The preference of kinds of food when having a meal outside home is ascribed to "prefer"by 50~75.7%, the highest percentage of all. 9. The price they pay for lunch outside home amounts to less than 900 wons in teens and young males 1, 000~2, 000 wons in men and women. The price of a meal outside home per capita a day, when taken by family unit, averages to 3, 694 wons. For the number of meals outside home, "more than once a month" forms 41.7%. 9. On the mooted points raised when having a meal outside home, "unsanitary' forms 36.7%, "expensive in prices" 26.1%, "lack of nutritution" 10.6%. 10. Teen males, when viewed from food preference for lunch outside home, take Ra Myun, Ddokbokki, Chinese noodle, while teen females, Ddokbokki, bread, Chinese noodle: young males, Sundubu Baekban, Bibim Bab, Ra Myun, Yokge Jang; young females, Sundubu Baekban, pork cutlet, Bibin Bab: men, Solnone Tang, Daenjang Chikae, Baekban, Kalbi Jongsik Bibim Bab : women, Bulkogi Jongsik, Neang Moyn, and Chinese noodle. 11. When seen from the nutrition of meals taken outside home, the prices of noodle and boiled rice range from 600 to 1, 000 wons, while their energy ranges from 407 to 745 kcal, Protein from 14.2 to 30.3g. On the other hand, the Price of western food averages to 1, 900~2, 500 wons, while its energy ranges from 1, 061 to 1, 129 kcal, proteio from 45.9 to 72.9g. It is revealed that noodle or boiled rice is not nutritious enough to be taken as a meal.s revealed that noodle or boiled rice is not nutritious enough to be taken as a meal.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.933-943
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• 2019

The purpose of this study is to identify determinants for preferred funeral methods depending on socio-economic characteristics. In South Korea, the Act on Funeral Services, Etc. categorizes funeral methods into burial, inurnment, and natural burial. This study empirically analyzes how and what socio-economic characteristics affect choices among these three categories. Data is collected from Social Survey 2017 and funeral facilities in the country. The data to be analyzed is developed in terms of a hierarchy which puts the burial and cremation methods in an upper class and the inurnment and natural burial methods in a lower class. Based on this data, a nested logit model is employed to conduct empirical analysis. The analysis indicates that those characteristics that have a statistically significant influence on preferred methods include gender, age, householder, marriage, satisfaction with life, class awareness, monthly income, housing type, housing tenure type, and living in city area. Each variable's modulus of calculated direct and cross elasticity need to be used to analyze the outcome of a nested logit model. In this study, the modulus of direct and cross elasticity are determined for the significant variables. The calculated direct elasticity is applied to analyze the likelihood of choosing each funeral method when there are changes in the significant variables. When a particular method has been selected, on the other hand, the cross elasticity is utilized to analyze changes to the likelihood of choosing the other methods. One of the most notable results is related to natural burial. In order to meet the demand for natural burial, it is necessary to provide more burial sites and raise awareness of natural burial. This will facilitate the efficient use of national territorial space.

• Journal of the HCI Society of Korea
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• v.8 no.2
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• pp.9-19
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• 2013

There has been much advancement in reality enhancement using audio-visual information. On the other hand, there is little research on provision of olfactory information because smell is difficult to implement and control. In order to obtain necessary basic data when intend to provide smell for video reality, in this research, we investigated user perception of smell in diverse videos and then classified the videos based on the collected user perception data. To do so, we chose five main questions which were 'whether smell is present in the video'(smell presence), 'whether one desire to experience the smell with the video'(preference for smell presence with the video), 'whether one likes the smell itself'(preference for the smell itself), 'desired smell intensity if it is presented with the video'(smell intensity), and 'the degree of smell concreteness'(smell concreteness). After sampling video clips of various genre which are likely to receive either high and low ratings in the questions, we had participants watch each video after which they provided ratings on 7-point scale for the above five questions. Using the rating data for each video clips, we constructed scatter plots by pairing the five questions and representing the rating scale of each paired questions as X-Y axes in 2 dimensional spaces. The video clusters and distributional shape in the scatter plots would provide important insight into characteristics of each video clusters and about how to present olfactory information for video reality.