• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.126-132
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• 2022

Wood Plastic Composite(WPC) has been mostly used for outdoor purposes such as deck materials and trails so far. In this study, WPC panels with improved antibacterial properties, total volatile organic compound emissions (TVOC), and flame retardant were manufactured to use Wood Plastic Compound as interior materials for indoor use. WPC compound was prepared by mixing Chamaecyparis obtusa wood flour with high density polyethylene(HDPE). The prepared WPC compound exhibited excellent antibacterial and antifungal properties, and the total volatile organic compound emission(TVOC) was 0.062 mg/m2·h. The WPC panel(303mm×606mm×10mm) manufactured by a twin screw extruder with the manufactured compound achieved the flame retardant grade 2 standard of KS F 2271.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.225-236
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• 2022

The purpose of this study is to provide clinical information and quantitative data through clinical research on lip balm containing propolis extract and lip application with LED device. Participants in this study were selected as test products for women aged 19 to 50 in Seoul and Gyeonggi Province, and to investigate the effects of LED devices and lip creams on the lips to improve lip elasticity, lip moisture, lip keratin, and lip moisture lasting for 12 hours. Before using the product, immediately after use, after 6 hours of use, after 12 hours of use, and after 2 weeks of use, the use test items are measured and the safety, efficacy, and preference survey of the product is analyzed. The results derived through a series of research procedures are as follows. It has been shown to help lip elasticity, lip moisture, lip keratin improvement, and lip moisture lasting for 12 hours when used once or 2 weeks.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.92-99
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• 2022

This study show the empirical results and the models that explain the content creator's personal brand value in the user-generated content platform. Producer's brand value performance could have enhancement and dilution by their activities for the long-term and repetitive change. Therefore, for the measure and analysis, the models have to catch the effect from producer's the diverse activities. This study would find the guideline by competitive analysis between (1) the impact of in-group user's self-motivated participation and (2) the impact of the social links from the outside platform. Based on the analysis results, producer's creation activity as focused on the specific and professional category increase their brand value for the long-term. However, producers would have to upload diverse category, after users are bored to their similar videos' as before. These empirical results would be a guidelines to the content management strategies for producers and the platform.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.298-304
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• 2022

In this study, it is intended to provide basic research data on hair loss and problematic scalp that is expanding to lower age groups and women. When using Company B's hair ampoule containing L-Menthol, Salicylic acid, and Dexpanthenol daily for women in their 20s with problematic scalp, the effect on the scalp and hair after 4 weeks was investigated. As a result of this study, when using Company B's ampoule containing L-Menthol, Salicylic acid, and Dexpanthenol, the subjects showed improvement effects such as relieving inflammation, reducing scalp fever and erythema, reducing itching and hair loss, and increasing hair thickness. In addition, it was confirmed that the scalp self-diagnosis of the subjects showed improvement effects on scalp satisfaction, scalp vitality and elasticity, heat generation, scalp pulling after cleaning, and itching. Through these research results, it is believed that products containing L-Menthol, Salicylic acid, and Dexpanthenol will help improve problematic scalp and hair.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.107-115
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• 2022

The purpose of this study is to identify the drivers of supply chain vulnerability and internal/external disruptive events and to verify the moderating effect of SCRM to mitigate negative disruption impacts. The analysis results of 182 SMEs are as follows. First, SC vulnerability proceeded from excessive efficiency. Second, the probability and severity of internal factors were higher than that of external factors. In particular, the priority of responding to risks arising from the supply chain process was higher than the value chain within the firm. Finally, the higher the level of risk management in the supply chain, the more positively the negative disruption impact was mitigated. This study is valuable in providing practical clues to the decision-making of a firm's managers and policymakers responding to supply chain risks.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.184-191
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• 2022

This study aims to provide basic information necessary to find an efficient management plan for patients using auto insurance. The analysis was conducted on the five-year auto insurance medical expenses review data registered in the health care bigdata Hub from 2016 to 2020. As a result of the analysis, the number one composition ratio of auto insurance inpatient treatment expenses was treatment and surgery fees for Certified tertiary hospitals, hospitalization fees for general hospitals, hospitals and clinics, and treatment and surgery fees for oriental medical institutions and dental hospitals. outpatient treatment expenses was doctor's fee for medical institution, treatment and surgery fees for oriental medical institutions and dental hospitals. The ratio of medication, anesthesia, and special equipment significantly affected the cost of inpatient. And the ratio of physical therapy significantly affected the cost of outpatient.

• Safety and Health at Work
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• v.14 no.1
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• pp.17-30
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• 2023

The human reproductive system can be affected by occupational exposure to many physical and chemical risk factors. This study was carried out to review the studies conducted on the issue of the pathophysiological effects of occupational physical and chemical risk factors on the reproductive system of females and males. In this systematic review, the databases such as "Google Scholar," "Pub-Med," "Scopus," and "Web of Science" were used. Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020), the studies included in our study were published between 2000 and 2021. In order to extract the required data, all sections of the articles were reviewed. Out of 57 articles we reviewed, 34 articles were related to field studies and 23 articles to clinical studies. Among them, 43 studies dealt with the pathophysiological effects of chemical agents, six studies dealt with the pathophysiological effects of physical factors, and 8 studies dealt with the pathophysiological effects of physicochemical factors on the human reproductive system. Physical (noise, heat, and radiofrequency radiation) and chemical (such as carbamate and organophosphate pesticides, benzene, toluene, xylene, formaldehyde, NO2, CS2, manganese, lead, nickel, and n-hexane) risk factors had pathophysiological effects on the human reproductive system. The presence of these risk factors in the workplace caused damage to the human reproductive system. The rate of these negative pathophysiological effects can be reduced by performing appropriate managerial, technical, and engineering measures in work environments.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.151-157
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• 2022

The purpose of this study was to investigate the frequency characteristics of forced vibration considering the vehicle progress. And the vibration characteristics in frequency domain that occur, when vehicle passes the bump, were analyzed. The responses such as displacement, velocity and acceleration were obtained through numerical analysis, and FFT processing was performed to analyze the frequency response function(FRF) characteristics. In particular, the location of vehicle eigenmodes and external excitation modes was clearly shown and analyzed. In the forced vibration model by external force, the behavior of the eigenmode in power spectrum and real and imaginary parts were also analyzed. The mode characteristics were also analyzed in each FRF. It was approximated by assuming total excitation force by considering the exciting frequency using impulse and sine wave forces, which can give the amplitude and frequencies. The response characteristics of forced oscillations having different mass, damping and stiffness have been systematically discussed.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.270-279
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• 2022

The purpose of this study was to find the influential factors of nursing students' behavioral intention of Recommended Immunizations for Healthcare Personnel(RIHP). The survey was performed on 260 nursing students. Data were collected using a structured questionnaires and analyzed using t-test, ANOVA, Pearson correlation coefficient, and hierarchical regression with SPSS 23.0 program. Results of this study revealed that the influential factors on the behavioral intention of RIHP were the cues to action, self-efficacy, perceived benefits and senior grade. And the explanation power of the regression model appeared as being 36.4%(F=13.35, p<.001). Based on the study findings, further development and application of specific programs to improve nursing students' intention of RIHP in consideration of grade, to emphasize benefits of immunization, are needed to prevent infection in clinical practice.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.116-125
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• 2022

The purpose of this study is to analyze whether investor anxiety caused by COVID-19 affects cryptocurrency prices in the COVID-19 pandemic, and to experiment with cryptocurrency price prediction based on a deep learning model. Investor anxiety is calculated by combining Naver's Corona search index and Corona confirmed information, analyzing Granger causality with cryptocurrency prices, and predicting cryptocurrency prices using deep learning models. The experimental results are as follows. First, CCI indicators showed significant Granger causality in the returns of Bitcoin, Ethereum, and Lightcoin. Second, LSTM with CCI as an input variable showed high predictive performance. Third, Bitcoin's price prediction performance was the highest in comparison between cryptocurrencies. This study is of academic significance in that it is the first attempt to analyze the relationship between Naver's Corona search information and cryptocurrency prices in the Corona phase. In future studies, extended studies into various deep learning models are needed to increase price prediction accuracy.