• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.14 no.1
• /
• pp.92-102
• /
• 2007

Purpose: This study was conducted to evaluate nutritional status, and the effects of lifestyles and depression on nutritional status of elderly people (NSE). Method: The participants were 280 elders who visited the Y city Senior Welfare Center between August 2006 and October 2006. Data were collected using a structured questionnaire that included general characteristics, lifestyle checklist, depression scale, and nutritional risk index. Also, Body Mass Index (BMI) was calculated from height and weight. T-test, ANOVA, Duncan test, Pearson coefficients correlation and stepwise multiple regression were used to analyze the data using the SPSS Win 12.0 program. Results: The NSE mean score was mid level at 5.03 BMI was 23.42 which indicates overweight. Depression was the factor that influenced the nutritional risk index most strongly, accounting for 17.3% of the total variance in the NSE. A combination of significance of health, concerns about health, housing, condition of teeth, activity, and smoking pattern accounted for 29.8% of the variance in the NSE. Condition of teeth accounted for only 3.8% of the variance in BMI. Conclusion: It is necessary to be aware that variance in the NSE can be affected by several factors including depression and lifestyle and that depression is strongly related to poorer NSE.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.11
• /
• pp.51-58
• /
• 2013

Camera performance of smartphone recently has been developed as much as the digital camera. Interest in applications As a result, many people take pictures and the number of people who are interested in application according to photos has been steadily increasing. However, there are only synthesis programs which are arraying some photos, overlapping multiple images. The model proposed in this paper, base on the emotion that is extracted from the facial expressions by combining the background and applying effects filters. And it can be also utilized in various fields more than any other synthesis programs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.605-607
• /
• 2016

The trend is growing domestic and international travelers. Research before making plans to travel people, Leave the tour you do not know the way, there are people who can not find a better destination. In this paper, to solve this problem and provide a mobile-to efficiency in traveling through a smart-phone application. At the same time to improve the convenience and satisfaction, etc. Select the destination country and traveling through the guidance system and the destination in the shortest path from the current location of the user to select multiple destinations shorten the travel route and save time. Also implemented to provide a convenience to guide the position of the additional facilities.

• Journal of Fashion Business
• /
• v.23 no.4
• /
• pp.38-52
• /
• 2019

This study aimed to examine the factors associated with emotional imagery from Obanggansaek and to analyze the difference between emotional imagery and the preference for Obanggansaek according to demographic characteristics. This study surveyed the responses of 320 participants to a questionnaire. The subjects consisted of men and women in their 20s-50s living in Gyeongnam and Busan region. The data were processed with SPSS 20.0 and were analyzed using factor analysis, t-tests, ANOVA, and Duncan's multiple range test. The results obtained were as follows. Five emotional imagery factors were associated with Obanggansaek: modernity, attractiveness, conspicuousness, soft/hard feeling, and newness. The analysis of emotional imagery for Obanggansaek according to demographic characteristics showed a significant difference in modernity, attractiveness, conspicuousness, and newness with respect to gender; in attractiveness with respect to marital status; in modernity, conspicuousness, soft/hard feeling, and newness with respect to age; in attractiveness and conspicuousness with respect to monthly income; and in attractiveness, soft/hard feeling, and newness with respect to occupation. The analysis of preference for Obangganasek according to demographic characteristics showed that women, married people, people in their 50s, and specialists preferred Obanggansaek the most. The interaction effect between preference for Obanggansaek and the demographic variables showed significant differences between gender and age, gender and occupation, marital status and monthly income, age and occupation, and monthly income and occupation.

• Journal of Family Resource Management and Policy Review
• /
• v.23 no.1
• /
• pp.17-34
• /
• 2019

Older women who live alone are among society's most vulnerable people, since they experience increased risk of multiple chronic diseases and have limited financial protection. This can lead older women living alone to catastrophic health expenditure(CHE), which is defined as a healthcare expenditure that exceeds a certain portion of a household's ability to pay. Using the Korean Longitudinal Study of Ageing(KLoSA), this study investigated the incidence of CHE among older women living alone and identified the factors related to this incidence. Applying health expenditure thresholds of 10%, 20%, 30% and 40% of ability to pay, the proportions of those with CHE were 41.3%, 22.9%, 14.6%, and 9.4%, respectively. Logistic regression models were used to identify factors related to CHE incidence, which include demographics, income, the number of chronic diseases, perceived health status, and health insurance type. The results show that the health care safety net in South Korea is insufficient for older women living alone. The findings can guide policymakers in improving healthcare and welfare policies to protect people from catastrophic payments. Particularly, welfare policies should be established for poor non-recipients who are not included within the benefits scope of the National Basic Livelihood Security System due to the unrealistic criteria of income recognition and family support obligation.

• Journal of IKEEE
• /
• v.25 no.1
• /
• pp.25-31
• /
• 2021

The conventional credit card number recognition system generally needs a card to be placed in a designated location before its processing, which is not an ideal user experience especially for people with visual impairment. To improve the user experience, this paper proposes a novel algorithm that can automatically detect the location of a credit card number based on the fact that a group of sixteen digits has a fixed aspect ratio. The proposed algorithm first performs morphological operations to obtain multiple candidates of the credit card number with >4:1 aspect ratio, then recognizes the card number by testing each candidate via OCR and BIN matching techniques. Implemented with OpenCV and Firebase ML, the proposed scheme achieves 77.75% accuracy in the credit card number recognition task.

• Journal of Korean Public Health Nursing
• /
• v.34 no.3
• /
• pp.391-404
• /
• 2020

Purpose: This study investigates the disaster preparedness behaviors of people residing in disaster areas and the factors affecting such behaviors, by examining the application of a Health Belief Model. Methods: A mixed-method approach was used for this study. Local residents were surveyed in Gyeongju and Pohang, which had experienced earthquakes one to two years earlier. Quantitative data (N=233) were collected through a questionnaire and analyzed using t-test, one-way ANOVA, Scheffe test and multiple regression. Qualitative data (N=11) were collected through focus group and individual interviews, and evaluated through content analysis. Results: Disaster preparedness behaviors scored 7.04 out of 18 points, and factors that significantly affected disaster preparedness included cut to action, marriage status, experience of education and training related to disaster, benefit-barriers factors of disaster preparedness behaviors, and gender. The focus group and individual interviews confirmed the contents corresponding to each variable of the disaster preparedness behaviors and heal belief model. Conclusion: The findings of this study indicate that in order to induce disaster preparedness behaviors as well as education and training opportunities related to disaster relief, we need to examine cue to action of disaster preparedness behaviors, benefits, and barriers for motivating interventions.

• International Journal of Advanced Culture Technology
• /
• v.9 no.1
• /
• pp.79-88
• /
• 2021

This study was a cross-sectional descriptive investigative study to analyze the effects of sub-factors of cognitive emotional control on life goals. The subjects of the study were 184 people in their 20s, and they were collected online from December 2020 to January 5, 2021 using structured cognitive control capabilities and life goal questionnaires. The collected data were performed using SPSS 18.0 for Frequency, Independent Sample t-test, Pearson correction analysis, Simple regression analysis, and Multiple regression analysis. According to the study, men had both life-oriented and achievement-oriented life goals higher than women. Among the sub-factors of cognitive emotional control (positive focus change, positive reassessment, expansion of view, re-accept plan, acceptance, rumination, self-criticism, others criticism, and destruction) were male and female were higher in self-criticism. Factors affecting life-oriented life goals have been shown to be expanding views, re-accepting plans, and criticizing others, while positive re-evaluation negatively affects achievement-oriented life goals. Based on these results, life-oriented life-goals tend to exhibit adaptive responses to expand views and revise plans and maladaptive responses to blame others, while achievement-oriented life-goals have the ability to positively reassess situations, modify plans and accept negative reactions.

• Journal of People, Plants, and Environment
• /
• v.24 no.2
• /
• pp.209-218
• /
• 2021

Background and objective: Instagram, an image-based social media, is being used as an important outlet for the communication and place marketing of public spaces. The purpose of this paper was to analyze how types of place-based content affect user reactions (Likes and Comments) on Instagram in order to provide basic data on the operation and utilization of social media by public places such as botanical gardens and arboretums. Methods: A total of 850 posts uploaded to the Instagram account of Kew Gardens from November 6, 2014 to July 3, 2020 were classified using 14 subject codes. Multiple regression analysis was performed to evaluate the user's reaction between the dependent variables ("Likes", "Comments") and the independent variables (14 subject codes). Results: The findings showed that user reactions appear to differ depending on the typology of the content, and "Likes" and "Comments" were presented in independent behavioral reactions. In particular, "close-ups of plants (botanic, macro)," "plant colony (botanic, wide)," "place-specific landscape (building, landscape)," "anniversary" and "information" showed positive impacts on both "Likes" and "Comments"which could lead to electronic word-of-mouth and content sharing. Conclusion: Based on these findings, it can be argued that the typology of a botanical garden's content can be used to determine factors that affect the immediate reactions and enhance engagement with users.

• Annual Conference of KIPS
• /
• 2022.05a
• /
• pp.385-387
• /
• 2022

With the tremendous rise in popularity of the Internet and technological advancements, many news keeps generating every day from multiple sources. As a result, the information (News) on the network has been highly increasing. The critical problem is that the volume of articles or news content can be overloaded for the readers. Therefore, the people interested in reading news might find it difficult to decide which content they should choose. Recommendation systems have been known as filtering systems that assist people and give a list of suggestions based on their preferences. This paper studies a personalized news recommendation system to help users find the right, relevant content and suggest news that readers might be interested in. The proposed system aims to build a hybrid system that combines collaborative filtering with content-based filtering to make a system more effective and solve a cold-start problem. Twitter social media data will analyze and build a user's profile. Based on users' tweets, we can know users' interests and recommend personalized news articles that users would share on Twitter.