• Asia Marketing Journal
• /
• v.11 no.4
• /
• pp.129-138
• /
• 2010

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1998.10a
• /
• pp.179-179
• /
• 1998

• 대한생식의학회:학술대회논문집
• /
• 2007.11a
• /
• pp.118.2-119
• /
• 2007

• Ingenium
• /
• v.30 no.4
• /
• pp.84-102
• /
• 2023

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.293-301
• /
• 2019

The purpose of this study was to explore the relationship andinfluence of Focusing manner to deal with somatization symptoms of adolescents with experience of cyberbullying. For this study, we conducted on teenagers aged 14 to 19. A total of 366 of these results -84 men (23%) and 282 women(77%)- were used for the analysis. Data was analyzed through frequency analysis, reliability analysis, correlation analysis, and multiple regression analysis. As a result, cyber-bullying experiences have a positive effect on somatizaion symptoms. Among the sub-factors of focusing manner, "knowledge" and "reviewing" have a negative effect on somatizaion symptoms, and "expression" has an negative effect on somatizaion symptoms. Based on the results of the study, the need for a therapeutic approach to focusing manner was presented when appealing for somatizaion symptoms of adolescents who experienced cyberbullying.

• Journal of the Korean Society of Food Culture
• /
• v.36 no.1
• /
• pp.110-120
• /
• 2021

This study investigated the factors affecting restrained and emotional eating according to the BMI of college women in Seoul. Based on their weight, 514 college women were divided into 3 groups. General demographics, nutrient consumption, eating habits and DEBQ were subsequently evaluated. Multiple regression analysis was performed to determine the factors responsible for restrained and emotional eating in each group. Percentage of the overweight or obese group having negative emotions, such as frequency of overeating (p<0.05), habitual eating, regret, and guilt after overeating, was higher as compared to the other groups (p<0.001). Considering factors that affect restrained eating, negative emotion after overeating had a positive correlation in the underweight group (β=0.481, p<0.001). In the normal-weight group, the BMI (β=0.201, p<0.001), total food intake (β=0.241, p=0.002), and negative emotion after overeating (β=0.284, p<0.001) positively affected restrained eating. In the underweight group, habitual eating (β=0.292, p=0.002) and negative emotions after overeating (β=0.233, p=0.012) were determined to affect emotional eating. Moreover, habitual eating (β=0.290, p<0.001) and negative emotions after overeating (β=0.172, p=0.004) were observed to influence emotional eating in the normal weight group. In the overweight and obese groups, habitual eating was determined to affect emotional eating (β=0.410, p<0.001). Taken together, these results provide a basis for creating a weight control program for young women having undesirable eating behaviors, such as restrained and emotional eating.

• Journal of the Korean Society of Food Culture
• /
• v.22 no.2
• /
• pp.261-265
• /
• 2007

The antidepressant effects of Cirsium japonicum was revealed in previous studies using open field test and forced swimming test. The contents of total flavonoids and apigenin of Cirsium japonicum were analyzed and sensory evaluation of Cirsium japonicum tea was performed in order to develop Cirsium japonicum tea as an antidepressant. Among the different plant parts of Cirsium japonicum, leaves had the highest level of total flavonoids and apigenin contents and were followed by flowers and stems. Drying method affected total flavonoids and apigenin content of Cirsium japonicum, but regular pattern was not revealed. In sensory evaluation, overall acceptance of Cirsium japonicum flower-leaf mix tea was higher than those of Cirsium japonicum leaf tea. Also purchase intention of Cirsium japonicum flower-leaf mix tea was higher than those of Cirsium japonicum leaf tea.

• The Korean Journal of Applied Statistics
• /
• v.37 no.2
• /
• pp.139-155
• /
• 2024

This study performed a multi-classification task to classify mesial temporal lobe epilepsy with left hippocampal sclerosis patients (left mTLE), mesial temporal lobe epilepsy with right hippocampal sclerosis (right mTLE), and healthy controls (HC) using magnetoencephalography (MEG) data. We applied various artificial neural networks and compared the results. As a result of modeling with convolutional neural networks (CNN), recurrent neural networks (RNN), and graph neural networks (GNN), the average k-fold accuracy was excellent in the order of CNN-based model, GNN-based model, and RNN-based model. The wall time was excellent in the order of RNN-based model, GNN-based model, and CNN-based model. The graph neural network, which shows good figures in accuracy, performance, and time, and has excellent scalability of network data, is the most suitable model for brain research in the future.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.4
• /
• pp.35-42
• /
• 2024

In this study, we propose a method for real-time recognition and analysis of dog behavior using a motion sensor and deep learning techonology. The existing home CCTV (Closed-Circuit Television) that recognizes dog behavior has privacy and security issues, so there is a need for new technologies to overcome them. In this paper, we propose a system that can analyze and care for a dog's behavior based on the data measured by the motion sensor. The study compares the MLP (Multi-Layer Perceptron) and CNN (Convolutional Neural Network) models to find the optimal model for dog behavior analysis, and the final model, which has an accuracy of about 82.19%, is selected. The model is lightened to confirm its potential for use in embedded environments.

• Korean Journal of Culture and Social Issue
• /
• v.15 no.1
• /
• pp.187-205
• /
• 2009

Based on the Motivational States Theory(MOST), the present research expanded and complemented Kim(2007)'s proposal to add the Life Satisfaction Expectancy Scale(LSES) to Diener et al's Satisfaction With Life Scale(SWLS) to measure subjective well-being(SWB). In the present study, the Life Satisfaction Motivation Scale(LSMS) was introduced to measure the strength of motivation for life satisfaction in general. Two hundred and eighty six college students participated in this study. Factor analyses revealed a two-factor structure, with the factors corresponding to life satisfaction and life satisfaction expectancy. Measures of internal and temporal reliability show the LSMS to be a good complement for the measure of SWB(The LSMS showed high internal and test-retest reliability). It was found that the addition of the LSES provided a significant increment in predictive power over the SWLS in the prediction of various factors related with well-being prediction. Exceptionally, in the prediction of anger the LSMS had the most predictive power. There were some differences between male and female students in the correlations among life satisfaction, life satisfaction expectancy and life satisfaction motivation and well-being-related factors. The merits of including LSES in the measurement of subjective well-being and the limitations of this study are discussed.