• Korean Journal of Community Nutrition
• /
• v.3 no.3
• /
• pp.410-422
• /
• 1998

To promote health status, strategies and interventions to improve nutrition should be based on the proper diagnosis of the subject's eating patterns. The elderly usually have traditional food habits and preferences, and it is very difficult to change them. This study was designed to identify dietary behavior and food preference of the elderly, in order to provide baseline data for the Elderly Nutrition Intervention Program for the Public Health Center. A survey questionnaire was made for use by trained interviewers to query 151elderly people from 5 community elderly centers located in Suwon, Korea. The majority of them ate regularly and partook of all available side dishes. Their major dietary problems were frequent consumptions of salty foods, and eating too quickly. They consumed grains and vegetables regularly, but seldomly ate dairy products, fruits, meat and food prepared with oil. They also tended to eschew ready made processed food, high cholesterol food, and fast food. Also they did not dine out as much as younger people. Desirable eating habit score were not significantly influenced by socioeconomic variables and nutrition-related characteristics. These included nutrition knowledge, Nutritional Risk Index(NRI) and a score of health concerns. However, meal balance scores were significantly higher in the younger group(p<.05), the higher household income group(p<.05). According to stepwise multiple regression analysis, NRI was the most important determinant of a desirable eating habit score for the male elderly, whereas the score of health concerns was mo9st important for female elderly subjects. The greatest predictor of the meal f balance score was nutrition knowledge. The elderly liked sweet tasting food, grains, rice, stews and Korean style soups. They disliked sour food, dairy products, processed food, and bread. The results indicate that the Elderly Nutrition Education Program should focus on increasing consumption of dairy products, fruits and food with oil, prepared by traditional Korean cooking methods. It also suggests that the program planning should consider the socioeconomic status of the elderly, such as income and education level, as well as concern for health.

• Industrial Engineering and Management Systems
• /
• v.4 no.1
• /
• pp.82-93
• /
• 2005

Facility layout problems (FLP) are usually treated as design problems. Lack of systematic and objective tools to compare design alternatives results in decision-making to be dominated by the experiences or preferences of designers or managers. To increase objectivity and effectiveness of decision-making in facility layout selections, a decision support model is necessary. We proposed a decision model, which regards the FLP as a multi-attribute decision making (MADM) problem. We identify sets of attributes crucial to layout selections, quantitative indices for attributes, and methods of ranking alternatives. For a requested facility layout design, many alternatives could be developed. The enormous alternatives, various attributes, and comparison of assigned qualitative values to each attribute, form a complicated decision problem. To treat facility layout selection problems as a MADM problem, we used the linear assignment method to rank before selecting those high ranks as candidates. We modelled the application of the Nemawashi process to simulate the group decision-making procedure and help efficiently achieve agreement. The electronics manufacturing service (EMS) industry has frequent and costly facility layout modifications. Our models are helpful to them. We use an electronics manufacturing service company to illustrate the decision-making process of our models.

• Journal of Korea Multimedia Society
• /
• v.11 no.2
• /
• pp.257-268
• /
• 2008

Multimedia recommendation systems analyze user preferences and recommend items(multimedia contents) to a user by predicting the user's preference for those items. Among various kinds of recommendation methods, collaborative filtering(CF) has been widely used and successfully applied to practical applications. However, collaborative filtering has two inherent problems: data sparseness and the cold-start problems. If there are few known preferences for a user, it is difficult to find many similar users, and therefore the performance of recommendation is degraded. This problem is more serious when a new user is first using the system. In this paper, we propose a method of generating additional feature of users and items into CF to overcome the difficulties caused by sparseness and improve the accuracy of recommendation. In our method, we first generate additional features by using the probability distribution of feature values, then recommend items by applying collaborative filtering on the modified data to include additional features. Several experimental results that show the effectiveness of the proposed method are also presented.

• Korean Journal of Community Nutrition
• /
• v.19 no.1
• /
• pp.41-50
• /
• 2014

As Korea is moving toward multicultural society, the number of Muslim, whose religion has a great influence on diet-related behaviors, is increasing in Korea. Since the number of immigrants from Indonesia ranks within top ten in Korea and Indonesia is one of the most representative Islamic countries in Asia, understanding the diet-related behaviors and food preferences of Indonesians is needed. This study was conducted to investigate diet-related behaviors, factors affecting the diet-related perceptions, and food preferences of the Indonesians. The subjects included 500 Indonesians dwelling in Jakarta, Indonesia. About ninety % of the subjects in this study were Muslims. They did not eat pork and dog meat for religious reason and they practiced fasting during Ramadan period. Indonesians avoided pineapple, durian, and hot foods during pregnancy and usually ate vegetables and fruits after birth, which seemed to be due to sociocultural influence. Among the subjects, 21.5% were obese and major health problems reported were hypertension and hyperlipidemia. Their preference for fried food items might have contributed to health problems. Subjects had meals mostly at home (2.3 times/day) and dined out occasionally (1.2 times/week) at Indonesian restaurants (56.6%) or family restaurants (21.0%). In conclusion, Indonesians had home-based and native food-oriented dietary life with strong religious and sociocultural influence on food choices. Further research on specific nutrient intake analysis is needed to better understand and to improve dietary life of Indonesians in Korea.

• Journal of KIISE:Software and Applications
• /
• v.32 no.6
• /
• pp.542-553
• /
• 2005

Recommendation systems analyze user preferences and recommend items to a user by predicting the user's preference for those items. Among various kinds of recommendation methods, collaborative filtering(CF) has been widely used and successfully applied to practical applications. However, collaborative filtering has two inherent problems: data sparseness and the cold-start problems. If there are few known preferences for a user, it is difficult to find many similar users, and therefore the performance of recommendation is degraded. This problem is more serious when a new user is first using the system. In this paper we propose a method of integrating additional feature information of users and items into CF to overcome the difficulties caused by sparseness and improve the accuracy of recommendation. In our method, we first fill in unknown preference values by using the probability distribution of feature values, then generate the top-N recommendations by applying collaborative filtering on the modified data. We call this method of filling unknown preference values as data blurring. Several experimental results that show the effectiveness of the proposed method are also presented.

• Journal of Preventive Medicine and Public Health
• /
• v.43 no.1
• /
• pp.26-34
• /
• 2010

Objectives: The purpose of this research is to analyze the impact of shared-decision making on patient satisfaction. The study is significant since it focuses on developing appropriate methodologies and analyzing data to identify patient preferences, with the goals of optimizing treatment selection, and substantiating the relationship between such preferences and their impact on outcomes. Methods: A thorough literature review that developed the framework illustrating key dimensions of shared decision making was followed by a quantitative assessment and regression analysis of patient-perceived satisfaction, and the degree of shared-decision making. Results: A positive association was evident between shared-decision making and patient satisfaction. The impact of shared decision making on patient satisfaction was greater than other variable including gender, education, and number of visits. Conclusions: Patients who participate in care-related decisions and who are given an explanation of their health problems are more likely to be satisfied with their care. It would benefit health care organizations to train their medical professionals in this communication method, and to include it in their practice guidelines.

• Journal of the East Asian Society of Dietary Life
• /
• v.18 no.2
• /
• pp.165-171
• /
• 2008

The purpose of this study was to measure tourists' preference for alternative restaurants with different combinations of attribute levels: grown area logo, origin description, traditional food, fusion food, national food, and price. A total of 210 questionnaires were completed. A conjoint experimental method was used to develop hypothetical restaurants, and an ordinal probit model was used to measure the effects of the attribute levels on tourists' preference. The ordinal probit model analysis results for the data indicated an excellent model fit. The effects of the attribute levels on tourists' preferences were statistically significant. As expected, estimates of the marginal willingness to pay were statistically significant Moreover, the tourists were more willing to pay for grown area logo as compared to the other attribute levels. The tourists also considered the grown area logo as a very important attribute. Withe regard to developing and testing conjoint models in the design of choice experiments involving multifactor alternatives, this study may approach a deeper understanding of the conjoint experiment. Greater understanding of the conjoint experiment can improve the managerial diagnoses of the problems as well as the opportunities for different marketing strategies including local branding programs and menu development and marketing communications.

• Journal of the Korean Home Economics Association
• /
• v.42 no.5
• /
• pp.175-192
• /
• 2004

The purpose of this study was to examine the preferences and needs of middle-aged salary workers' to make silver town their future care type. The sample of this study consisted of 837 middle-aged salary workers living in Seoul, Daejeon, Jeonju, Daegu, Gyonggi-do, and Jeju-do. Statistic values that were used for the analysis were frequencies, means, and logistic analysis. The major findings were as follows : First, 91.5% of the middle-aged salary workers needed silver town as their future care type and 63.2％ of all workers wanted to live in the silver town. Second, the most frequent reason for choosing silver town as their care type was the convenience of their daily life. For the most part, salary workers answered that they would be moving to a silver town when they have some problems with mobility. Also, they wanted to pay for a deposit of 54,620,000 won and a monthly payment of 870,000 won. Third, the significant factors affecting the salary workers' preference to silver town were the respondent's sex and job, possession of a first child or not, real estate asset and monthly household income, subjective recognition for their economic status, having savings for their future, and the preparation for elderly life.

• Journal of the Korean Institute of Rural Architecture
• /
• v.18 no.2
• /
• pp.39-46
• /
• 2016

The purpose of this study was to analyze the preferences for the physical features of return farmer housing. Housing problems of rural areas is one of the important factors that determine the quality of life in rural areas. Through these return farmer housing as it wants to improve the living environment of rural areas. The purpose of this study aims to find the required characteristics of the return farmer for rural activation. The survey was conducted to target the return farmer households living in housing and expectant return farmer living in the rural. The results of this study were as follows. First, expectant return farmer than return farmer are more importance to house outside(environmental) factors. Showed that environmental conditions are more important than housing conditions, expectant return farmer of residential satisfaction. Second, return farmer prefer ratio was higher House prices and sizes, expectant return farmer among the external factors such as environmental conditions is the distance to the workplace were very important. The results of this study can be a basis for effective strategies for future rural activation. More sustainable in the future, including the analysis of various parameters in progress by being linked to policy measures that will be provided. This study aims to be the foundation of sustainable housing policies for return farmer households.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.2
• /
• pp.120-128
• /
• 2015

Quality function deployment (QFD) is a useful method in product design and development to maximize customer satisfaction. In the QFD, the technical attributes (TAs) affecting the product performance are identified, and product performance is improved to optimize customer requirements (CRs). For product development, determining the optimal levels of TAs is crucial during QFD optimization. Many optimization methods have been proposed to obtain the optimal levels of TAs in QFD. In these studies, the levels of TAs are assumed to be continuous while they are often taken as discrete in real world application. Another assumption in QFD optimization is that the requirements of the heterogeneous customers can be generalized and hence only one house of quality (HoQ) is used to connect with CRs. However, customers often have various requirements and preferences on a product. Therefore, a product market can be partitioned into several market segments, each of which contains a number of customers with homogeneous preferences. To overcome these problems, this paper proposes an optimization approach to find the optimal set of TAs under multi-segment market. Dynamic Programming (DP) methodology is developed to maximize the overall customer satisfaction for the market considering the weights of importance of different segments. Finally, a case study is provided for illustrating the proposed optimization approach.