• Smart Media Journal
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• v.9 no.3
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• pp.122-129
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• 2020

The possibility that an asymptotic coronavirus-19 infected person around the world is not aware of his infection and can spread it to people around him is still a very important issue in that the public is not free from anxiety and fear over the spread of the epidemic. In this paper, the K-means clustering algorithm and deep learning-based crowd aggregation were proposed to determine the possibility of contact with confirmed cases of infectious diseases. As a result of 300 iterations of all input learning images, the PSNR value was 21.51, and the final MAE value for the entire data set was 67.984. This means the average absolute error between observations and the average absolute error of fewer than 4,000 people in each CCTV scene, including the calculation of the distance and infection rate from the confirmed patient and the surrounding persons, the net group of potential patient movements, and the prediction of the infection rate.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.343-354
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• 2019

The purpose of this study is to examine the perception of PBL hybrid curriculum of nursing students, using qualitative research conducted through focus group interviews. The data were collected from interviews with 25 nursing students of 4th grade after dividing into 4 groups. The analysis resulted in 6 major categories such as 1) inefficiency of PBL hybrid curriculum, 2) anxiety about learning, 3) dissatisfaction with PBL operation, 4) difficulty in group activity, 5) acceptance of PBL and 6) change and satisfaction. Based on the result, it is suggested that measures should be taken to minimize loss of learning contents in PBL, proportion of course evaluation should be increased to follow original intention of PBL evaluation, and detailed tutor education program should be developed and operated by PBL specialist and professional department.

• Journal of Auto-vehicle Safety Association
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• v.14 no.1
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• pp.26-31
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• 2022

Changwon City has the second highest accident rate with 79.6 according to the city bus accident rate. In fact, 250,000 people use the city bus a day in Changwon, The number of accidents is increasing gradually. In addition, a recent fire accident occurred in the engine room of a city bus (CNG) in Changwon, which has gradually expanded the public's anxiety. In the case of business vehicles, the government conducts inspections with a short inspection cycle for the purpose of periodic safety inspections, etc., but it is not in the monitoring stage. In the case of city buses, the operation records are monitored using Digital Tacho Graph (DTG). As such, driving records, methods, etc. are continuously monitored, but inspections are conducted every six months to ascertain the safety and performance of automobiles. It is difficult to identify real-time information on automobile safety. Therefore, in this study, individual automobile management solutions are presented through machine learning techniques of inspection results based on driving records or habits by linking DTG data and Vehicle Inspection Management System (VIMS) data for city buses in Changwon from 2019 to 2020.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1377-1393
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• 2023

Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.25 no.1
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• pp.20-27
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• 2014

Objectives : The aim of this study was to determine whether intervention using a multidisciplinary approach affects maternal mental health, parenting stress, and sense of parenting competence in children with feeding disorder and failure to thrive (FTT). Methods : Children with feeding disorder and FTT were randomized to the intervention group (N=11) or control group (N=8). We administered the Korean standardization of Parent Temperament Questionnaire for Children (K-PTQ) in both groups before intervention, and the Korean version of the Parenting Stress Index-Short Form (K-PSI-SF), Korean version of the Parenting Sense of Competence (K-PSOC), Korean version of the Beck's Depression Inventory (K-BDI), Korean version of the Beck Anxiety Inventory (K-BAI), and Korean version of the Mood Disorder Questionnaire (K-MDQ) in both groups before and after the intervention. Results : In the intervention group, the K-BDI (p=.068), K-BAI (p=.068), and K-MDQ (p=.066) scores tended to show a decline, the K-PSI-SF scores for stress related to child learning showed a significant decline, and the K-PSOC scores for sense of parenting competence showed significant improvement. However, no significant changes were observed in the control group. Conclusion : Use of a multidisciplinary approach improved maternal mental health, parenting stress, and sense of competence. Comparison of these results with those of normal control will be necessary in a future study.

• Journal of Nutrition and Health
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• v.36 no.9
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• pp.918-923
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• 2003

L-theanine Is an amino acid in green tea and has been known to decrease serotonin and increase norepinephrine in rat brains, and also reported to produce mental relaxation, lower blood pressure and improve learning ability in human beings. But, few studies on these effects for human beings have been conducted so far. This study was conducted to evaluate the effect of L-theanine on the release of brain alpha waves known to be related with mental relaxation and concentration. Twenty healthy male volunteers aged 18 to 30 years without any Physical and Psychological diseases were recruited through written advertisement. Alpha power values of EEG as a surrogate marker of mental relaxation and concentration were measured in frontal and occipital regions for 40 minutes after administration of four placebo or test tablets and 20 minute resting period. The same procedure crossed over at 7-day intervals. We analyzed average alpha power values in frontal and occipital regions at 10 minute intervals. Repeated ANOVA revealed that there were significant differences of occipital alpha power values between placebo and test groups with high anxiety (p < 0.05). The mean values at 20,30,40,50 and 60 minute intervals were 0.23, 024, 0.28, 0.25 and 0.34 in placebo, respectively and 0.23, 0.29, 0.40, 0.34, and 0.45 in test, respectively. But there were no significant differences of frontal and occipital alpha power values between placebo and test groups with low anxiety (p > 0.05) . The results of this study suggest that L-theanine containing tablets promote the release of alpha waves related to mental relaxation and concentration in young adult males.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.30 no.2
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• pp.51-85
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• 2017

Objectives : This study aimed to investigate the awareness improvement of atopic dermatitis(AD) for AD children's parents and to evaluate the mental health condition of AD children and QoL of their parents. Methods : We conducted elementary school visit education(the first education) and recruited children and parents who wanted to participate the hospital visit education(the Second education). In the first education, we lectured about AD, performed survey about QoL and awareness about AD and obtained 48 valid results. In the second education, we performed an education for AD again, skin condition evaluation, mental health analysis survey and obtained 29 valid results. We compared the AD and non-AD groups of each education in the first and second education. We assessed atopic awareness, FDLQI, DFI, CDI, BAI, and KISE scores by gender, age, duration of disease, onset, and severity of AD. Results : Despite children with AD, the survey showed their parents lacked knowledge about AD. However, they acquired the necessary knowledge in AD education. There was a significant difference in the total score of Atopic awareness between the AD group in the first education and the AD group in the second education. (p=0.042) In addition, the CDI and BAI scores of all patients were divided by the duration of disease, and it was estimated that depression and anxiety disorders may be aggravated by longer term illness. Conclusions and Discussions : This study confirmed duration of AD affects AD children's mental health, and verified positive changes in atopic awareness after AD education.

• Anxiety and mood
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• v.12 no.1
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• pp.13-20
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• 2016

Objective : The purpose of this study was to verify the differences of expressed character strengths graded as per the Korean Strength Scale, based on the type of work. Methods : A total of 2,444 conglomerate workers were classified into two groups: 1,356 office workers and 1,088 production workers. The subjects were examined through a web or mobile application based on the Korean Strength Scale. The Korean Strength Scale consists of a total of four top entries and 25 sub-items with appropriate validity. Results : The difference in the average score of sum of character strengths between the two groups was not significant. In the office worker group, character strengths such as love of learning, creativity, perspective, curiosity, facilitation, judgment and faith had significantly high scores. On the other hands, modesty, hope, gratitude, sincerity, magnanimity and self-regulation were high in the production worker group. The results remained unchanged in additional analysis of covariants as sex, age and education level, except for self-regulation and faith. Conclusion : Our results suggest significant differences in the character strengths between the two types of work; however, the average of sum of character strength score remains unchanged. These results may help to understand differences between work environments and thus help to establish a positive foundation.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.479-490
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• 2021

This study was attempted to identify the essence of the mixed practice experience that replaces the clinical practice of nursing students in the COVID-19 situation. From December 17, 2020 to December 31, 2020, eight nursing students were individually interviewed to collect data, and the data were analyzed by applying Colaizzi's phenomenological analysis methodology. The study's finding derived 6 categories. The specific categories were 'Accepting in anxiety', 'Autonomy at the fore', 'Straining non-face-to-face practice', 'Fill your knowledge', 'A variety of approaches to achieve goals', 'The best practice left with regret'. In the pendemic situation, nursing students accepted clinical practice substitution with anxiety and concern about mixed practice, and experienced a way to adapt to practice through self-directed learning and to achieve the goal of clinical practice.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.49-57
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• 2022

Recently, various uses of artificial intelligence have been made possible through the deep artificial neural network structure of machine learning, demonstrating human-like capabilities. Unfortunately, the deep structure of the artificial neural network has not yet been accurately interpreted. This part is acting as anxiety and rejection of artificial intelligence. Among these problems, we solve the capability part of artificial neural networks. Calculate the size of the artificial neural network structure and calculate the size of data that the artificial neural network can process. The calculation method uses the group method used in mathematics to calculate the size of data and artificial neural networks using an order that can know the structure and size of the group. Through this, it is possible to know the capabilities of artificial neural networks, and to relieve anxiety about artificial intelligence. The size of the data and the deep artificial neural network are calculated and verified through numerical experiments.