• Journal of the Korean Society for Precision Engineering
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• v.28 no.6
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• pp.724-731
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• 2011

Dew generation on an outer surface is considered as an important issue to be settled in the field of home appliances. In the case of a refrigerator that is subject to the dew generation problem on the surface of an outer-door of refrigeration thread, and so as to solve this problem, the electric heater is generally used for drying the dew. However, the heater inevitably requires electrical power consumption that is one of critical issues on the refrigerator. In this study, to prevent dew generation without the heater, a method of using induced heat from room temperature was proposed. In edge sides of a door, high conductive plates are installed and received the heat from outside that is relatively high temperature, and the heat is transferred onto dew generation region. Using prototypes, performance test was conducted under a certain temperature and humidity condition. The experimental results show that the surface temperature on the dew generation region was increased about $0.3{\sim}2.5^{\circ}C$ without use of any heater.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.42 no.11
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• pp.79-86
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• 2005

This paper describe a method for measuring line impedance as a function of frequency for an energized powerline in normal operation. A small sinusoidal signal of a powerline communication utility frequency $30khz\~1Mhz$ band is continuously injected into the line, and a implemented impedance analyzer calculates the indoor powerline channel impedance from the measured magnitude and phase of resulting voltage and current. The impedance measurement is executed over a range of frequencies to produce a wideband impedance versus frequency characteristic. Implemented impedance analyzer can analysis powerline communication environments measuring line impedance due to load caused in indoor. And measured analysis information through the database can use to evaluate performance of modem and to decide test environment standard.

• Journal of the Korean Society of Costume
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• v.62 no.4
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• pp.58-68
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• 2012

Personal image concerns a person's talent, expertise, as well as the internal and external image. It is a core value that differentiates one individual from another. As personal branding via personal image management has become more important, there is a fast-growing number of online systems that provide self-test programs to analyze one's style and habits and also provide expert advice for not only styles but lifestyles as well. This study develops a systematic and objective personal image consulting system and offers basic information for the research of personal image making. For that purpose, the study attempts to examine the present state of global companies that use online image consulting programs and analyze their digital content. The results are as follows: 1) two domestic companies, Colorz and Atzine, and seven foreign companies, notably Covet and Boutique, were brisk in business; 2) two types of personal image-diagnosis programs - Visual search and Virtual matching - are now in operation; and 3) mobile applications exist as an evolved personal image-diagnosis program. With an increased interest in such programs, various companies at home and abroad are establishing systematic and scientific analysis systems, which are needed for personal image-making online. Under these circumstances, domestic companies are also urged to enhance levels of image-diagnosis content and actual commercialization and utilization, to develop programs that enable objectified, systematic personal image-making. To this end, the results of this study may serve as a helpful tool to consider future directions.

• Journal of Families and Better Life
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• v.19 no.5
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• pp.203-220
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• 2001

The purpose of this study is to investigate how the marital conflict and the conflict-coping method of self and spouse have an effect on the marital satisfaction in the early stage of marital life. The subjects of this study are the 132 couples in the area of Taegu and Pohang city. The instruments of measurement are marital conflict scale, conflict-coping method scale and Kansas marital satisfaction scale(KMSS). The data are analysed through factor analysis, Cronbach's ${\alpha}$, frequency, percentile, mean, standard deviation, paired t-test and stepwise regression analysis. The major findings of this study are as follows: Firstly, as a result of figuring out couples' marital conflict, husbands and wives are having the highest conflict in the personality factor. The difference of marital conflict between husbands and wives is shown significant in the relative factor. Secondly, as a result of figuring out couples' conflict-coping method, husbands and wives use mostly the reasonable behavior and leastly physical aggression. The difference of conflict-coping method between husbands and wives is shown significant in the verbal aggression, adjustment renunciation and physical aggression. Thirdly, as a result of figuring out how the marital conflict and the conflict-coping method of self and spouse have an effect on the marital satisfaction, the communication factor of the conflict factors, the wives' verbal aggression perceived by husbands, and the reasonable behavior of the self have much effect on the marital satisfaction in case of husbands. And the personality factor, sexual factor and role factor of the conflict factors and the husbands' verbal aggression and reasonable behavior perceived by wives have much effect on the marital satisfaction in case of wives.

• Human Ecology Research
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• v.56 no.2
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• pp.145-156
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• 2018

This study investigates the effects of over-parenting behavior and peer-alienation on adolescents' school adjustment and explores the mediating effects of smartphone dependency on the above relations. The subjects were 1,882 first grade students in middle school selected from the 7th year data of the 2010 Korea Children and Youth Panel Survey (2010 KCYPS). Data were analyzed by descriptive statistics, Pearson's correlation, structural equational models, and Sobel test with SPSS 21.0 and Amos 18.0. The findings were as follows. First, there was no significant difference in the school adjustment according to gender. However, boys were higher in the perception of over-parenting behavior and peer-alienation, and girls were higher in smartphone dependency. Second, peer-alienation and smartphone dependency had negative impacts on the school adjustment. But over-parenting behavior had no significant effect on school adjustment. Third, smartphone dependency played a mediator role between over-parenting behavior and peer-alienation as well as the school adjustment. Fourth, there were no significant differences between boys and girls in the relations among over-parenting behavior, peer-alienation, smartphone dependency and school adjustment. But there was a slight difference in influence. The findings of this study suggest that interventions on how to use smartphone correctly are important for improving adolescents' school adjustment. In addition, gender differences in school adjustment should be considered for a better understanding.

• Korea Journal of Hospital Management
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• v.7 no.1
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• pp.105-120
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• 2002

In the United States, the prospective payment system(PPS), under which diagnosis related groups (DRGs) are used to reimburse hospitals for the care of Medicare patients since 1983, Study results showed that the PPS is having a major impact on the quantity of services especially of hospital length of stay. The PPS has increased the likelihood that a patient will be discharged home in an unstable condition and the use of nursing homes or long term care facilities increased. Still, it is insufficient to conclude that the PPS has decreased the Medicare total expenditure, but relatively sufficient to conclude that the quality of care hasn't changed. The maintenance of the quality resulted from the systemic "check-and-balance" composed of three factors; (1) The doctors are reimbursed based on the fee-for-service system, (2) hospitals contact with doctors under the attending system, and (3) there are some public hospitals. In Korea, the reimbursement for hospitals and doctors are not divided, the hospitals have doctors as employees, and 90% of hospitals are private. These differences may weaken the "check-and-balance" existing in the U.S. system. And there are few long term care facilities and the diagnostic coding system using in pilot test are not suitable for Korean situation. In conclusion, for successful implementation of the DRG payment system in Korea, the government should establish the "check-and-balance" system in the health sector to make sure the quality of care before the implementation.

• Human Ecology Research
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• v.51 no.3
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• pp.293-306
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• 2013

The aim of this study is to examine the effects of the story sharing activity on-conflicting situations by the use of children's story on the theory of mind and peer competences of preschoolers so that appropriate teaching materials can be allocated for the actual preschool education site. The subjects of this study were 46 preschoolers under the age 4 at the attached kindergarten of P University in Pohang City, Gyeongbuk and in which 23 children among them were assigned to a test group and the other 23 to a control group. The collected data was analyzed by SPSS ver. 15.0 program and Cronbach's ${\alpha}$ coefficient was yielded to verify the reliability for each scale. The multivariate analysis of covariance (MANCOVA) was conducted. The analysis results are as follows. First, the story sharing activity on conflict situations by using children's story had a significant effect on the preschoolers' general appearance and actual task as sub-factors of the theory of mind, whereas no significant effects were found regarding the content change task and position change task. Second, the story sharing activity on conflict situations by using children's story had significant effect on the preschoolers' overall sensitivity, insecurity and pro-sociability as sub-factors of the peer competences, whereas no significant effects were found regarding the aggression, exclusivity and anti-sociability.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.5
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• pp.752-763
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• 2009

The purpose of this study was to develop an effective marketing strategy for socks made of paper mulberry fiber, a new natural fiber, by understanding consumers' concerns and perception about the product and its quality in several dimensions. The first survey determined their perception of the products' image before using it. The second survey gauged consumer satisfaction with product quality after a two-week home-use test. Factor analysis using Cronbach's a and ANOVA analysis were performed for statistical analysis. In conclusion, consumer image perceptions of socks of mulberry fiber were classified into four categories -'practicality', 'wellbeing', 'high-quality' and 'traditionality'. The survey revealed differences between men's and women's perception of the 'practicality' and 'high-quality' factors. The women recognized a mulberry fiber sock as being more practical but of lower quality than did the men. And the quality satisfaction of the product was classified into four factor 'durability', 'suitability, 'wearability' and 'care-easiness'. In the case of 'suitability', men were more satisfied with the product than the women and in 'suitability' and 'wearability', a group of over 40' year-old consumers was more satisfied. The analysis of a relationship between image perception and satisfaction showed that a consumer group that perceived this product to have more 'practicality', 'high-quality' and 'well-being' was also more satisfied with the product. However, the 'traditionality' factor was unrelated to consumer satisfaction.

• Journal of Biomedical Engineering Research
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• v.27 no.5
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• pp.274-281
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• 2006

In this paper, we propose a ubiquitous $SaO_2$ monitoring system for patients using oxygen therapy. For these patients, the ability to monitor oxygen saturation ubiquitously is very important fur accurate adjustment of ventilator's flow rate to match the patient's time-varying requirements with the shortest lag time possible. We have developed a portable device to measure $SaO_2$ and transmit it to hospital in real-time or in store-and-forward mode through the integration of $Bluetooth^{TM}$ technology and the code division multiple access (CDMA) cellular network. We also developed software for doctors to receive and manage the patients' $SaO_2$ information. Performance of the developed system was evaluated as acceptable by assessing the accuracy of the measured oxygen saturation value and the stability of communication network. Test results in real clinical setting demonstrate that our system is feasible for immediate use in home oxygen therapy.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.39-54
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• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.