• Journal of Oriental Neuropsychiatry
• /
• v.30 no.3
• /
• pp.165-175
• /
• 2019

Objectives: This study was conducted to investigate the emotional characteristics of the patients within one year after stroke using the Core Seven Emotions Inventory-Short Form. Methods: It analyzed the medical records of 39 stroke patients who had visited W University hospital and completed the Core Seven-Emotions Inventory-Short Form (CSEI-S), the K-MBI, the PWI-SF, and the HADS. Patients data were analyzed by descriptive analysis, frequency analysis, the Mann-Whitney U test, and the nonparametric test of the CSEI according to the period of stroke onset in patients and Spearman's correlation analysis using the SPSS (Statistical Package for the Social Science, IBM, United States of America) Version 23.0. Results: First, in the case of depression, all subjects were in the danger group, although more than half of the joy, anger, thinking, sadness and fear were included in the normal group in the shortening of the key seven-point scale. Secondly, in measuring the social and psychological stress and hospital anxiety and depression, social and psychological stress were indicated to be a potential danger group, while anxiety and depression were shown to be a healthy group. Thirdly, the emotional characteristics were explored according to the sub-factor of the shortening of the key seven-figure emotional scale after being classified within two months, between two and six months and over six months depending on the duration of the outbreak. As a result, statistically significant, Joy was the highest score over six months and the lowest score between two and six months. On the other hand, the case of depression was depicted to be significantly lower at over six months, and was highest between two and six months. Finally, the correlations on each scale were statistically significant. Conclusions: This study provided that the CSEI-S can be used to simply to measure the emotions of patients according to the period of the onset of stroke in the clinical scene.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.6
• /
• pp.73-80
• /
• 2021

In this paper, we propose a packet processing method capable of handling large-capacity traffic over 20Gbps using multi-core and huge page memory approaches. As ICT technology advances, the global average monthly traffic is expected to reach 396 exabytes by 2022. With the increase in network traffic, cyber threats are also increasing, increasing the importance of traffic analysis. Traffic analyzed as an existing high-cost foreign product simply stores statistical data and visually shows it. Network administrators introduce and analyze many traffic analysis systems to analyze traffic in various sections, but they cannot check the aggregated traffic of the entire network. In addition, since most of the existing equipment is of the 10Gbps class, it cannot handle the increasing traffic every year at a fast speed. In this paper, as a method of processing large-capacity traffic over 20Gbps, the process of processing raw packets without copying from single-core and basic SMA memory approaches to high-performance packet reception, packet detection, and statistics using multi-core and NUMA memory approaches suggest When using the proposed method, it was confirmed that more than 50% of the traffic was processed compared to the existing equipment.

• The Journal of the Korea Contents Association
• /
• v.21 no.10
• /
• pp.444-456
• /
• 2021

Economic abundance and the development of medical technology led to an aging society with an average life expectancy of 100 years, but retiring from the labor market at the age of 65 has become more difficult. This study aims to identify the influence of entrepreneurship, social support, and entrepreneurship mentoring as an effective support method to increase the entrepreneurial intention in order to enhance the entrepreneurial intention as an adult's second career development. In this study, data were collected using questionnaires from 340 adults, but only 319 were selected because 21 were judged to be inappropriate. For statistical analysis, SPSS 18.0 was used, and reliability test, factor analysis, and multiple regression analysis were used for hypothesis testing. The research results are as follows. First, as a result of examining the effects of adult entrepreneurship factors on entrepreneurship, it was found that among entrepreneurship, innovation and initiative had a significant positive (+) effect on entrepreneurship. Second, as a result of examining the effect of social support on entrepreneurial intention, it was found that family support had a significant negative (-) effect on entrepreneurial intention. Third, as a result of examining the effect of entrepreneurship mentoring on entrepreneurial intentions, it was found that role models and mentors had a positive (+) effect on entrepreneurial intentions. Fourth, as for the mediating effect of entrepreneurial efficacy, there were significant mediating effects of innovativeness → entrepreneurial efficacy → entrepreneurial intention, role model → entrepreneurial efficacy → entrepreneurial intention, mentor → entrepreneurial efficacy → entrepreneurial intention.

• The Korean Journal of Applied Statistics
• /
• v.33 no.6
• /
• pp.697-712
• /
• 2020

New infectious diseases have broken out repeatedly across the world over the last 20 years; COVID-19 is causing drastic changes and damage to daily lives. Furthermore, as there is no denying that new epidemics will appear in the future, there is a continuous need to develop measures aimed towards responding to economic damage. Against this backdrop, the living population is an important indicator that shows changes in citizens' life patterns. This study analyzes time-based and socio-environmental characteristics by detecting and classifying changes in everyday life caused by COVID-19 from the perspective of the floating population. k-shape Clustering is used to classify living population data of each of the 424 dong's in Seoul measured by the hour; then by applying intervention analysis and One-way ANOVA, each cluster's characteristics and aspects of change in the living population occurring in the aftermath of COVID-19 are scrutinized. In conclusion, this study confirms each cluster's obvious characteristics in changes of population flows before and after the confirmation of coronavirus patients and distinguishes groups that reacted sensitively to the intervention times on the basis of COVID-related incidents from those that did not.

• The Journal of the Korea Contents Association
• /
• v.21 no.1
• /
• pp.258-267
• /
• 2021

This study attempted an empirical analysis study on the Meal Kit Product, whose interest and demand continued to increase according to the eating out trend in the Untact era. In addition, this study attempted to investigate the relationship between the factors of Home Meal Replacement Meal Kit Product Selection Attributes, Consumers Satisfaction, and Other Recommendation Intention. Convenience sampling was used for consumers with experience in using Meal Kit Products released by food service companies and start-up companies. The investigation period was conducted for about one month from July 01, 2020, and the final 285 copies were used for analysis. The SPSS 21.0 statistical package program was used to verify the hypothesis. As a result of the analysis, the price (β=.241), convenience (β=.317), and diversity (β=.191) of Hypothesis 1 had a significant effect on Consumers Satisfaction. Price (β=.482), convenience (β=.133), and diversity (β=.342) were found to have a significant effect on the intention to recommend others. It was analyzed that Hypothesis 3's Consumers Satisfaction (β=.443) had a significant effect on Other Recommendation Intention. Finally, through this study, we expect to be provided as basic research data related to Meal Kit Product. It is intended to be presented as a theoretical basis for the use of marketing and direction for the development of milk kit products for catering companies and restaurants.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.6
• /
• pp.349-356
• /
• 2021

Since the 1960s, traffic infrastructure, such as bridges, has increased rapidly in Korea as urbanization and industrialization progressed due to economic growth. As the scale of the bridge becomes larger, stability analysis of the superstructure of the bridge is being conducted actively, but scour stability analysis for the substructure of the bridge has not been conducted sufficiently. This study is a basic investigation to prevent large-scale disasters caused by scouring in bridge piers. A simple linear regression model was used to analyze the scour depth calculated through seventeen scour depth calculation formulae, and the scour depth measured through hydraulic model experiments. As a result, the Coleman (1971) formula was the best method among the scour depth calculation formulae, and the Froehlich (1987) formula was the most effective method for calculating the scour depth. In addition, a review using a simple regression model confirmed that the scour depth calculation formulae of CSU (1993), Coleman (1971), and Froehlich (1987) can predict a similar scour depth by reflecting domestic stream characteristics. This study can calculate the scour depth reflecting the environmental conditions of Korea in future stream design.

• The Journal of the Korea Contents Association
• /
• v.21 no.3
• /
• pp.490-504
• /
• 2021

The online market is gradually increasing due to the increase in single-person households, the development of information and communication technologies, the emergence of various new products, and price comparison competition. Companies need differentiation strategies to adapt to changes in the online environment and secure a competitive edge. In this environment, the objective is to consider the importance of consumer perception of websites in order to generate continuous growth and revenue in the online market as well as to differentiate them from competitors using an online service environment that can affect consumers' internal responses. In this study, we present aesthetic, functional, privacy, and interaction factors as components of e-servicescape to study the impact of e-servicescape on website trust, brand attitude, and repurchase intention. In the data analysis, 485 ordinary people with online shopping experience were surveyed. The questionnaire was based on a 7-point Likert scale for each question and statistical analysis was conducted using SPSS 24.0 and AMOS 25.0. The analysis shows that in e-servicescapes aesthetic and privacy factors influence website trust and brand attitudes and consequently affect repurchase intention.

• Journal of Digital Convergence
• /
• v.19 no.3
• /
• pp.415-423
• /
• 2021

The purpose of this study was to report the changes in underwater anxiety, physical self-efficacy, and water safety consciousness in elementary school students through participation in survival swimming education, and the relationship between variables. For this purpose, 300 out of 312 elementary school students who participated in survival swimming education in Busan were used as valid samples. The collected data were analyzed through exploratory factor analysis, reliability analysis, correspondence sample t-test, and multiple regression analysis using the SPSS 25.0 statistical program, and the results are as follows. First, the underwater anxiety of elementary school students before and after participating in survival swimming education decreased, and the physical self-efficacy and water safety awareness increased. Second, underwater anxiety of elementary school students who participated in survival swimming education partially negatively affected physical self-efficacy and water safety consciousness, and physical self-efficacy partially positively affected water safety consciousness. Based on these results, the effectiveness of survival swimming education could be confirmed, and the direction of qualitative expansion of the program could be reconsidered.

• The Journal of the Korea Contents Association
• /
• v.21 no.5
• /
• pp.695-706
• /
• 2021

The purpose of this study was to establish entrepreneurship(risk taking, proactiveness, innovativeness), entrepreneurial self-efficacy, and entrepreneurial intention as a structural equation model to confirm the entrepreneurial intention of university students. In order to achieve the purpose of this study, 449 students from 3 university students in Gyeonggi-do were studied, and data analysis was conducted with SPSS 23.0 and AMOS 23.0 statistical programs. The results of the empirical analysis are as follows: First, Among university students' entrepreneurship, proactiveness was not statistically significant to entrepreneurial intention but, risk taking and innovativeness have been identified as having a direct impact. Second, University students' entrepreneurial self-efficacy directly affects entrepreneurial intention. Third, risk taking and innovativeness were statistically significant, but proactiveness was not affected. Finally, through the mediating of entrepreneurial self-efficacy, risk taking effects were fully sold to entrepreneurial intention, and innovativeness was partially sold to entrepreneurial intention. Based on the results of this study, the way to enhance university students' entrepreneurial intention is to develop programs that can improve their entrepreneurial self-efficacy and apply them actively to university education. In particular, university students need mentoring support from on-site entrepreneurial experts and internship education support to increase risk taking and innovativeness as prospective founders. The government can lead to entrepreneurial behavior when economic and institutional support precedes university students to recover from their initial entrepreneur.

• Journal of the Korean Applied Science and Technology
• /
• v.38 no.6
• /
• pp.1445-1454
• /
• 2021

In this study, based on the expectation that beauty education based on VR experience of beauty majors will have on expertise and practical ability, it was attempted to develop VR-based beauty subjects and secure an educational environment. A total of 106 learners participated in the study, and the online questionnaire consisted of questions about the development of VR-based beauty subjects, recognition of expertisee and practical skills, and general characteristics. The collected data were verified at the significance level of .05 using the SPSS 21.0 statistical program. As a result of frequency analysis, factor analysis, correlation, and linear regression analysis, the higher the grade, the higher the perception of VR-based beauty subjects development (p<.01). The perception of VR-based beauty subject development was related to VR-based expertise and practical skills for each sub-factor of the recognition of expertise (r=.683, p<.001), practical skills (r=.676, p<.001), and industry-related awareness (r=.543, p<.001). It was found that there was a statistically significant positive (+) correlation with related perception. In addition, it was found that the higher the awareness of VR-based beauty subjects development, the higher the expectation that expertise, practical ability, and industry-related awareness would be improved. As a result, the necessity of developing VR-based beauty subjects and expectations for course operation of majors in the beauty subjects environment were confirmed. In follow-up studies, it is necessary to expand the scope of the sample.