• The Journal of Korean Obstetrics and Gynecology
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• v.37 no.1
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• pp.89-103
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• 2024

Objectives: This study analyzed an online survey targeting women and Korean medicine doctors who participated in the Yeosu City Postpartum Health Center Support Project. Through this, we would like to discuss the direction of support for postpartum health care support projects and new policies to encourage childbirth. Methods: In this study, we examined the results of an online survey from 73 women and 29 Korean medicine doctors. We examined 39 items, including basic information, childbirth-related items, Korean medicine treatment-related items, business satisfaction, and policies, answered by 73 women and 29 Korean medicine doctors who responded to the online survey. Results: The average age of women was 33.62±4.19 years, and the average age of Korean medicine doctors was 49.82±8.60 years. Musculoskeletal pain appeared most commonly in both maternal and Korean medicine doctors' online surveys. The visit date from the date of delivery was 36.87±27.06 days. Gungguijohyeol-um and Boheo-tang were widely used. The survey score of women whose main symptoms improved after taking herbal medicine was 3.04±1.15 points, and the survey score of Korean medical doctors was 4.13±0.74 points. The positive response to the policy was 73.7% for satisfaction with the overall policy to encourage childbirth, 54.8% for perceived support, and 65.7% for reduction of economic burden. Conclusions: Women who participated in the postpartum health care support project and received Korean medicine treatment and Korean medicine doctors who performed Korean medicine treatment were very satisfied. The most frequent postpartum symptom was musculoskeletal pain. The degree of improvement in main symptoms after taking herbal medicine was higher among Korean medicine doctors than among women. Among childbirth policies, the areas that should be prioritized are childbirth support projects and postpartum care projects.

• Journal of Internet of Things and Convergence
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• v.10 no.2
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• pp.137-148
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• 2024

The purpose of this study is to determine how the use of retailtech technology affects consumers' purchase intention. Furthermore, this study aims to investigate the mediating effects of technology usefulness and ease of use on this influence relationship and whether experiential marketing moderates consumers' purchase intention. The survey was conducted from August 1, 2023 to September 30, 2023, and a total of 257 people participated in the study. For statistical analysis, hierarchical regression analysis, three-stage mediation regression analysis, and hierarchical three-stage controlled regression analysis were conducted to test the hypothesis. The results of the study are as follows. First, it was confirmed that big data-AI utilization, mobile-SNS utilization, live commerce utilization, and IoT utilization affect purchase intention in retail technology utilization. Second, technology usefulness has a mediating effect on IoT utilization, mobile-SNS utilization, and big data-AI utilization. Third, perceived ease of use of technology mediated the effects of IoT utilization, mobile-SNS utilization, live-commerce utilization, and big data-AI utilization. Fourth, escapist experience has a moderating effect on mobile SNS utilization and live commerce utilization. Fifth, esthetic experience has a moderating effect on mobile-SNS utilization and big data-AI utilization. Through this study, we hope that the domestic distribution industry will contribute to national competitiveness by securing the competitive advantage of companies by utilizing new technologies in entering the global market.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.79-90
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• 2024

This study focused on user trust in ChatGPT, a generative AI technology, and explored the factors that affect usage status and intention to continue using, and whether the influence of trust varies depending on the purpose. For this purpose, the survey was conducted targeting people in their 20s and 30s who use ChatGPT the most. The statistical analysis deploying IBM SPSS 27 and SmartPLS 4.0. A structural equation model was formulated on the foundation of Bhattacherjee's Expectation-Confirmation Model (ECM), employing path analysis and Multi-Group Analysis (MGA) for hypothesis validation. The main findings are as follows: Firstly, ChatGPT is mainly used for specific needs or objectives rather than as a daily tool. The majority of users are cognizant of its hallucination effects; however, this did not hinder its use. Secondly, the hypothesis testing indicated that independent variables such as expectation- confirmation, perceived usefulness, and user satisfaction all exert a positive influence on the dependent variable, the intention for continuance intention. Thirdly, the influence of trust varied depending on the user's purpose in utilizing ChatGPT. trust was significant when ChatGPT is used for information retrieval but not for creative purposes. This study will be used to solve reliability problems in the process of introducing generative AI in society and companies in the future and to establish policies and derive improvement measures for successful employment.

• Smart Media Journal
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• v.13 no.2
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• pp.68-84
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• 2024

This paper describes the development of a system and algorithms for high-quality welfare services by recognizing behavior development indicators (activity, sociability, danger) in children aged 0 to 2 years old using action recognition technology. Action recognition targeted 11 behaviors from lying down in 0-year-olds to jumping in 2-year-olds, using data directly obtained from actual videos provided for research purposes by three nurseries in the Gwangju and Jeonnam regions. A dataset of 1,867 actions from 425 clip videos was built for these 11 behaviors, achieving an average recognition accuracy of 97.4%. Additionally, for real-world application, the Edge Video Analyzer (EVA), a behavior analysis device, was developed and implemented with a region-specific random frame selection-based PoseC3D algorithm, capable of recognizing actions in real-time for up to 30 people in four-channel videos. The developed system was installed in three nurseries, tested by ten childcare teachers over a month, and evaluated through surveys, resulting in a perceived accuracy of 91 points and a service satisfaction score of 94 points.

• Therapeutic Science for Rehabilitation
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• v.13 no.1
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• pp.49-63
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• 2024

Objective : The purpose of this study was to investigate parental perspectives on cognitive rehabilitation using a combination of phenomenological research methodology and word cloud analysis. Methods : Interviews were conducted with five parents of children with developmental disabilities. Word cloud analysis was conducted using Python, and five researchers analyzed the meaning units and themes using phenomenological methods. Words with high frequency were considered as a heuristic tool. Results : A total of 43 meaning units and nine components related to the phenomenon of cognitive rehabilitation were derived, and three themes were finalized. The main themes encompassed the definition of cognitive rehabilitation, challenges associated with cognitive rehabilitation, and factors influencing the selection of a cognitive rehabilitation institute. Cognitive rehabilitation emerged as a treatment focused on improving learning, daily functioning, and cognitive abilities in children with developmental disabilities. The perceived issues with cognitive rehabilitation pertained to treatment methods, therapist expertise, and associated costs. In addition, parents highlighted the importance of therapist expertise, humane personality, and affordability of cost and schedule when choosing a cognitive rehabilitation institute. Conclusion : Parents expressed expectations for substantial improvements in their children's daily functioning through cognitive rehabilitation. However, challenges were identified in clinical practices. Going forward, we expect that cognitive rehabilitation will evolve into a better therapeutic support service addressing the concerns raised by parents.

• The Journal of the Acoustical Society of Korea
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• v.29 no.7
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• pp.458-467
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• 2010

In this paper, a new audio reproduction system was developed in which the cross-talk signals would be reasonably cancelled at an arbitrary listener position. To adaptively remove the cross-talk signals according to the listener's position, a method of tracking the listener position was employed. This was achieved using the two microphones, where the listener direction was estimated using the time-delay between the two signals from the two microphones, respectively. Moreover, room reverberation effects were taken into consideration where linear prediction analysis was involved. To remove the cross-talk signals at the left-and right-ears, the paths between the sources and the ears were represented using the KEMAR head-related transfer functions (HRTFs) which were measured from the artificial dummy head. To evaluate the usefulness of the proposed listener tracking system, the performance of cross-talk cancellation was evaluated at the estimated listener positions. The performance was evaluated in terms of the channel separation ration (CSR), a -10 dB of CSR was experimentally achieved although the listener positions were more or less deviated. A real-time system was implemented using a floating-point digital signal processor (DSP). It was confirmed that the average errors of the listener direction was 5 degree and the subjects indicated that 80 % of the stimuli was perceived as the correct directions.

• The Journal of the Acoustical Society of Korea
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• v.29 no.6
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• pp.381-387
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• 2010

Both timbral features and spatial features are important in the assessment of multichannel audio coding systems. The prediction model, extending the ITU-R Rec. BS. 1387-1 to multichannel audio coding systems, with the use of spatial features such as ITDDist (Interaural Time Difference Distortion), ILDDist (Interaural Level Difference Distortion), and IACCDist (InterAural Cross-correlation Coefficient Distortion) was proposed by Choi et al. In that model, ITDDistswere only computed for low frequency bands (below 1500Hz), and ILDDists were computed only for high frequency bands (over 2500Hz) according to classical duplex theory. However, in the high frequency range, information in temporal envelope is also important in spatial perception, especially in sound localization. A new model to compute the ITD distortions of temporal envelopes in high frequency components is introduced in this paper to investigate the role of such ITD on spatial perception quantitatively. The computed ITD distortions of temporal envelopes in high frequency components were highly correlated with perceived sound quality of multichannel audio sounds.

• Journal of Venture Innovation
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• v.7 no.1
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• pp.201-223
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• 2024

This study undertook an empirical analysis to examine the impact of various factors on entrepreneurial intention among young people, with a particular focus on the role of startup mentoring. Employing a survey distributed nationwide, data from 250 valid respondents were subjected to structural equation modeling to investigate these dynamics. The analysis uncovered that workplace stress, subjective norms, and perceived behavioral control positively influence the entrepreneurial intentions of youth. Meanwhile, technological constraints negatively affected these intentions. The study did not explore the potential effects of future uncertainty and the burden of failure. Significantly, it was found that startup mentoring plays a crucial role in mitigating the negative impacts that may deter young individuals from pursuing entrepreneurship. Mentoring was instrumental in reducing negative influences, thereby fostering a more conducive environment for entrepreneurial ambition. By integrating the Push-Pull-Mooring (PPM) and Theory of Planned Behavior (TPB) models, this research not only validates these frameworks within the context of youth entrepreneurship but also underscores the essential function of startup mentoring in enhancing entrepreneurial intentions. The insights from this study highlight the importance of mentoring programs in nurturing the entrepreneurial spirit among the youth, suggesting that targeted mentoring support can play a pivotal role in overcoming barriers to entrepreneurship.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.81-98
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• 2024

This study analyzed the impact of urban spatial factors on the thermal environment. The personal thermal sensation was set as the unit of thermal environment to analyze its correlation with environmental factors. To collect data on personal thermal sensation, Living Lab was applied, allowing citizens to record their thermal sensation and measure the temperature. Based on the input points of the collected personal thermal sensation, nearby urban spatial elements were collected to build a dataset for statistical analysis. Logistic regression analysis was conducted to analyze the impact of each factor on personal thermal sensation. The analysis results indicate that the temperature is influenced by the surrounding spatial environment, showing a negative correlation with building height, greenery rate, and road rate, and a positive correlation with sky view factor. Furthermore, the road rate, sky view factor, and greenery rate, in that order, had a strong impact on perceived heat. The results of this study are expected to be utilized as basic data for assessing the thermal environment to prepare local thermal environment measures in response to climate change.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.313-319
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• 2024

The purpose of this study was to examine the mediating effect of emotional intelligence on college students' sense of community and psychological well-being. Accordingly, a survey was conducted targeting 267 college students attending universities in the Busan and Gyeongnam regions. For data analysis, the SPSS 21 program was used to check the general characteristics of the survey subjects, the mean, standard deviation, skewness, and kurtosis of the main variables. Correlation analysis was performed to check multicollinearity among the main variables, and mediation effects were examined. For this purpose, regression analysis was conducted according to the three-step verification method proposed by Barron and Kenny.The results of this study were as follows. First, college students' sense of community was found to have a significant impact on their psychological well-being. Second, the sense of community perceived by college students was found to have a significant impact on emotional intelligence. Third, emotional intelligence was found to have a significant impact on psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Accordingly, we strive to find and implement various ways to increase the sense of community that is closely related to the emotional intelligence skills and social participation of college students in the special situation of college, so that college students can form and sustain a happier and more satisfying life. We will have to help you do it.