• The Korean Journal of Food & Health Convergence
• /
• v.8 no.2
• /
• pp.15-27
• /
• 2022

This study aims to analyze the relative importance of bone age and chronological age in physique according to gender and to identify the relative importance of bone age, chronological age, and physique in physical fitness and motor coordination according to gender in order to alleviate the imbalance between physique and physical fitness in children. A total of 666 children(346 males, 320 females) between the ages of 11-14 were enrolled as subjects, and the skeletal maturation The skeletal maturation were measured by taking hand-wrist. Physical fitness were measured through a total of 4 components: muscular strength. The results of this study. First, physique variables for both males and females aged 11-14 were found to be more significant predictors of bone age than chronological age. Second, for physical fitness in males, in the order of %fat, body water, waist-hip ratio, weight, fat-free mass, and chronological age were more significant predictor variables; and in females, in the order of %fat, fat-free mass, height, chronological age, weight, bone age, fat mass, and body water were more significant predictor variables. For bone age and chronological age in physical fitness, bone age in males and chronological age in females found to be the more representative variables respectively.

• Smart Media Journal
• /
• v.10 no.2
• /
• pp.22-29
• /
• 2021

In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.

• Journal of the Korea Convergence Society
• /
• v.11 no.3
• /
• pp.201-210
• /
• 2020

The study was conducted to predict usage attitudes and behaviors by combining usage motivation and sensitivity, gender, and age in aviation-related social media. Specifically, the purpose of this study was to examine the effects of social media information acceptance, motivation and sensitivity on gender acceptance by gender and age. To this end, we collected data in an even distribution to prevent gender and age bias among adults aged 20 or older online from April 19 to May 3, 2018. As a result, the lower the female and age in the gender and age had a positive effect on the acceptance of social media information. Motivation for use has a positive effect on information acceptance and sensitivity has a negative effect on information acceptance. Through this, it was found that user class such as gender and age, motivation to use, and sensitivity affect information acceptance. In addition, the negative aspects of the sensitivity factor can be identified, and it is expected to be used as basic data in aviation-related social media marketing strategies.

• Proceedings of the KAIS Fall Conference
• /
• 2008.05a
• /
• pp.354-357
• /
• 2008

In this paper, we develop business models for the robot industry that facilitates to explore new business opportunities in the convergence age. Considering the trend of convergence society, we analyze the market drivers. Analyzing market dynamics and value chain, we design a set of the business model for the robot industry focused on u-health robots. In addition, we describe the evolution path of the proposed business model in terms of technology development and market. Finally, we develop a framework for evaluating the effectiveness of the business model.

• Journal of Information Technology Applications and Management
• /
• v.31 no.3
• /
• pp.119-147
• /
• 2024

This study aims to analyze older adults's intention to use digital financial services. To verify the purpose, the '2022 Korean Senior Technology Acceptance Panel Survey' data were used. And a shortened Senior Technology Acceptance Model(STAM) reflecting the characteristics of older adults was applied. The results of Structural Equation Model analysis are as follows. First, the lower gerontechnology anxiety, the higher control beliefs reflecting perceived ease of use, self-efficacy and facilitating conditions and the intention to use digital financial services. Second, the health factor had a positive effect on the control beliefs. Third, the higher the control beliefs, the higher the attitudinal beliefs reflecting perceived usefulness and attitude and the intention to use digital financial services. Lastly, the higher attitudinal beliefs, the higher the intention to use digital financial services. The results suggest the need for interventions that can relieve gerontechnology anxiety and strengthen positive perceptions about control beliefs and attitudinal beliefs in order to increase older adults's intention to use digital financial services.

• Journal of the Korean Society of Industry Convergence
• /
• v.21 no.2
• /
• pp.79-86
• /
• 2018

The purpose of this study is to compare life stress between primigravida and multigravida in advanced maternal age. A cross-sectional study was performed for 133 pregnancy women (primigravida group 53, multigravida group 80). The all women were old age (${\geq}35years$) and pregnant. We used the questionnaire to self-report general characteristics, obstetric characteristics and life stress. The average of participants age was 36.15 years old, primigravida was 36.08 and multigravida was 36.19. The mean of total life stress score was 2.68 and the total life score for pregnant women of lower education level was higher. The marital relationship of primigravida was lower than multigravida(mean, .06 vs. .26; p=.021). As our study shows that stress of marital relationship is higher in the multigravida than primigravida, the life stress care for advanced maternal age is important.

• Journal of the Korea Convergence Society
• /
• v.10 no.5
• /
• pp.43-50
• /
• 2019

The purpose of this study was investigate the association between birth age related health factors and metabolic syndrome in women. The data of 6743 women from Korean National Health and Nutrition Examination Survey(2012-2014 KNHANES) were analyzed. Dependent variable was metabolic syndrom related variables were collected. Menopause status was associated with metabolic syndrome [odds ratio of with post-menopause 1.44(95% CI: 1.09-1.90)]. First birth age was associated with metabolic syndrome [odds ratio of women with 26-30 year : 0.81 (95% CI: 0.68-0.98); odds ratio of women 31 year over: 0.62(95% CI: 0.45-0.87)] after adjusted for age, region, household income, smoking, occupation. In conclusion, the metabolic syndrome is closely related to menopause and first birth age, and will be used as a basic data in developing future educational programs for women.

• Korean Journal of Agricultural Science
• /
• v.43 no.3
• /
• pp.369-378
• /
• 2016

Improving the reproductive traits of Hanwoo might decrease their production cost. Therefore, this study was conducted to investigate the effects of environmental factors [registration grade (basic, pedigree or advanced), birth year, birth season, parity, delivery year, and delivery season] on various reproductive traits (age at 1st service, age at 1st conception, age for 1st calving, days at 1st service postpartum, non-pregnant condition period, calving interval, gestation length, and number of services for conception) in Hanwoo (primiparous 12,219 heads, multiparous 10,471 heads). All data was acquired from Gyeongnam province areas which were surveyed from 2007 to 2015. All environmental factors significantly influenced (p < 0.01) reproductive traits of primiparous cows but, but not all environmental factors influenced multiparous cows. Primiparous cows registered as advanced grade showed significantly lower age at 1st service (by 15.36 days), age at 1st conception (by 8.66 days), and age for 1st calving (by 8.77 days) (p < 0.01) than those registered as basic grades. Age at 1st service, age at 1st conception and age for 1st calving were not significantly related to birth year in primiparous cows. As delivery years advanced from 2005 to 2012, all durations associated to reproductive traits tended to be shorter. Days at 1st service postpartum, non-pregnant condition period, and calving interval tended to be shortened as parity increased. Days at 1st service postpartum, days open, calving interval, and gestation in multiparous cows calved in winter were shorter than those in summer. The registration grade was not a effected with reproductive traits in Hanwoo.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.67 no.9
• /
• pp.1224-1231
• /
• 2018

Automatic age estimation has been used in many social network applications, practical commercial applications, and human-computer interaction visual-surveillance biometrics. However, it has rarely been explored. In this paper, we propose an automatic age estimation system, which includes face detection and convolutional deep learning based on an inception module. The latter is a 22-layer-deep network that serves as the particular category of the inception design. To evaluate the proposed approach, we use 4,000 images of eight different age groups from the Adience age dataset. k-fold cross-validation (k = 5) is applied. A comparison of the performance of the proposed work and recent related methods is presented. The results show that the proposed method significantly outperforms existing methods in terms of the exact accuracy and off-by-one accuracy. The off-by-one accuracy is when the result is off by one adjacent age label to the above or below. For the exact accuracy, the age label of "60+" is classified with the highest accuracy of 76%.

• Journal of Digital Convergence
• /
• v.13 no.11
• /
• pp.433-440
• /
• 2015

This paper was to explore the effect of the locus of control on life satisfaction and preparation for old age among middle-aged adults in the time of Convergence. This survey was conducted from September to December 2013, and 284responses were used for the analysis. The data was analyzed by descriptive statistics, Pearson Correlation and Multiple Regression. The research findings could be summarized as the followings. First, the locus of control had significantly positive effect on life satisfaction, Second, the locus of control also had significant effect on preparation for old age among middle-aged adults. Third, life satisfaction between preparation for old age had positive correlations with life satisfaction.