• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.25-32
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• 2018

This descriptive research is to find communication ability, general and social self-efficacy, and academic achievement in peer collaboration subject of nursing freshmen. The data were analyzed by SPSS/WIN 19.0. The communication ability was higher in the extroverts and high discussion preference ones(p=.01), females' social self-efficacy were higher than males'(p=.03), the general and social self-efficacy of the 'introverted' and 'middle' groups were higher than the extroverts'(p=.01). The social self-efficacy on the 'middle high', 'middle' and 'middle low' of self-evaluated school grades groups were higher than 'high' one's, even the academic achievement of 'high' group was the most(p=.01). There were negative correlations between communication ability and self-efficacy, and between social self-efficacy and academic achievement. And social self-efficacy affected on the academic achievement in peer collaboration subject($R^2=0.058$, p<.05). These results can be used as a basis for developing guidelines of nursing freshmen who have to complete a lot of theoretical and practical courses in university.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.294-301
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• 2019

This study evaluated the antioxidant activity and the anti-inflammatory activity of ethanol extracted Pyracantha angustifolia (PE) or hot water extracted P. angustifolia (PW) using natural plant sources. In the DPPH and ABTS assay, the PE extracts showed the highest activity with an IC₅₀ of 3.78 ㎍/mL, IC₅₀ of 510.57 ㎍/mL, respectively. The total polyphenol content of PE extracts was 37.11±0.01 mgGAE/mL and PW extracts was 11.46±0.01 mgGAE/mL in a 1 mg/mL. The MTT assay showed no cytotoxicity at all concentration of two extracts in mouse macrophage cell line, RAW264.7. In addition, PE extracts strongly inhibited the production of NO, TNF-α cytokine secretion, and iNOS/TNF-α mRNA expression stimulated by LPS in RAW264.7 cells. Taken together, these results suggest that P. angustifolia, especially the ethanol extracts (PE), can be used as a cosmetic material containing natural antioxidant and anti-inflammatory properties.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.5
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• pp.574-583
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• 2021

Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.194-200
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• 2021

Recently, incorrect and unhealthy postures have become increasingly prevalent due to reasons such as smartphone use. Consequently, imbalanced muscle contraction occurs. In particular, if the oblique muscle is contracted, the accessory nerve will be compressed, causing ischemic pain in the upper trapezius muscle. To investigate the effect on pain in the upper trapezius muscle, this study applied the ischemic compression method to the accessory nerve capture point at the 1/3-point of the oblique cervical muscle. In this study, the ischemic compression method was applied to eight women twice a week for four weeks, and pain was evaluated before, immediately after, and three weeks after application. The visual analogue scale, McGill Pain Questionnaire, and pressure dynamometer were used to evaluate subjects' pain. As a result of this study, it was confirmed that the pain was significantly reduced after treatment, and that the pain reduction was still effective three weeks after completion of the intervention, indicating that the intervention on the accessory nerve compression point on the oblique cervical muscle was both effective and long-lasting for pain reduction in the upper trapezius muscle. Future studies should increase the number of subjects to check not only pain reduction in the upper trapezius muscle, but also improvement of neck function.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.302-313
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• 2021

As the domestic consulting industry matured, consultants were required to have insight into customer's business and consulting business. Gaining these insights requires deep understanding of the business domains and high degree of competencies. This study empirically analyzed the data collected through the survey in order to apply the ICMCI competence model to domestic consultants. As a result of the study, it was found that business competency and technical competency had a positive effect on project performance, but values & behavior competency were not statistically significant. On the other hand, it was found that only technical competency, values & behavior competency had a positive effect on social-relational competency. Through this study, it was confirmed that a deep understanding and perception of the consulting business is necessary to grow into a professional consultant, but there is a limit to generalizing the research results because the characteristics of the population cannot be sufficiently reflected with a small sample.

• Industry Promotion Research
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• v.6 no.4
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• pp.31-38
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• 2021

This study analyzed the non-cognitive domains (self-management competency, interpersonal relations competency) and cognitive domains (physical communication competency, comprehensive reasoning ability) among K-CESA for college students in the Division of Architecture at 𐩒𐩒 University and construction company workers, after which a training program for college students was designed. A K-CESA diagnostic evaluation was conducted on 25 construction company workers and 36 students in the senior and junior years of the division of Architecture. To identify the discrepancies among the two groups, "One-way ANOVA", a mean difference test, was performed and the Scheffe verification system was conducted as an after-measure. The empirical analysis of this study was verified at the significance level p <.05, and statistical processing was analyzed utilizing the SPSS WIN. 23.0 program. The major findings are as follows: first, the significant point of difference between the college students and construction company workers were located in five skills (goal-oriented planning and execution skills, cooperative skills, intervention skills, leadership skills, speaking skills, analytical reasoning skills); second, the education program was developed to improve the goal-oriented planning, execution ability and analytical reasoning ability through the expert-required analysis and study research. Through follow-up studies, I suggested that there is a need to develop courses that compare the competencies of various majors and workers in public institutions, corporations and other organizations.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.194-202
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• 2021

The leaves of Selaginella tamariscina were used for the treatment of many diseases in traditional medicine. In the study, antioxidant, anti-inflammatory, and wound healing activities of the hot-water extract(STW) and 80%ethanol extract(STE) obtained from S. tamariscina were evaluated. As a result, the polyphenol content of STW and STE were 38.108±0.766 mg/g and 17.927±1.064 mg/g, respectively. The DPPH and ABTS radical scavenging activities with the IC50 values of the STW were over 2 times lower than that of the STE. In the MTT assay, RAW264.7 cell viability of two extracts was decreased by about 6% at 1 mg/mL, whereas for HaCaT cell viability increased by 18% at 50 ㎍/mL. In addition, STW and STE suppressed the production of nitric oxide(NO), Tumor-necrosis(TNF)-��. COX-2 and PGE2 in lipopolysaccharide(LPS) induced RAW264.7 cells. Furthermore, the STE showed wound healing effect through the promotion of skin cell migration in TNF-�� stimulated human keratinocytes. These results indicated that the STW and STE have the potential to be used as a new cosmetic active ingredients in skin care.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.29-39
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• 2021

As damages to individuals, private sectors, and businesses increase due to newly occurring cyber attacks, the underlying network security problem has emerged as a major problem in computer systems. Therefore, NIDS using machine learning and deep learning is being studied to improve the limitations that occur in the existing Network Intrusion Detection System. In this study, a deep learning-based NIDS model study is conducted using the Convolution Neural Network (CNN) algorithm. For the image classification-based CNN algorithm learning, a discrete algorithm for continuity variables was added in the preprocessing stage used previously, and the predicted variables were expressed in a linear relationship and converted into easy-to-interpret data. Finally, the network packet processed through the above process is mapped to a square matrix structure and converted into a pixel image. For the performance evaluation of the proposed model, NSL-KDD, a representative network packet data, was used, and accuracy, precision, recall, and f1-score were used as performance indicators. As a result of the experiment, the proposed model showed the highest performance with an accuracy of 85%, and the harmonic mean (F1-Score) of the R2L class with a small number of training samples was 71%, showing very good performance compared to other models.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.236-243
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• 2021

The aim of this study was to evaluate the anti-oxidant and anti-wrinkle effect of the black carrot(BC) extracted by supercritical dioxide(SC-CO₂). DPPH/ABTS radical scavenging and total polyphenol contents were measured to investigate the anti-oxidant activity of the BC supercritical extract. Collagen production and MMP-1 expression were assessed in normal human dermal fibroblasts(NHDF) for anti-wrinkle activity, The black carrot extract showed the highest total phenolic content(9.037±1.123 mg GAE/g extract) and the best antioxidant properties as shown by DPPH and ABTS assay. The supercritical fluid extracts of black carrot exhibited low toxicity to NHDF cells. In addition, the supercritical fluid extracts showed MMP-1 inhibition and type I pro-collagen synthesis inducing activities in a dose-dependent manner, respectively. Therefore, these results suggest that the black carrot is a potential source of high anti-oxidative, solvent-free and anti-aging material with promising applications in cosmetic, food, and beauty-food industries.

• Journal of Environmental Health Sciences
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• v.47 no.2
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• pp.111-122
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• 2021

Objectives: There was a judgment of acquittal for the manufacturer SK Chemical and the vendor Aekyung regarding humidifier disinfectant (HD) containing 5-chloro-2-methylisothiazol-3(2H)-one/2-methylisothiazol-3(2H)-one (CMIT/MIT). The rationale used in this judgement is discussed here in the light of scientific consideration. Methods: The sentencing document for the judgements was obtained from the Korea Supreme Court Service. In particular, the judgements made by the court related to the risk of HD and external and internal exposure to CMIT/MIT are discussed based on scientific evidence. Results: Rendering a determination in a criminal trial of insufficient evidence of causation, the court dismissed the prosecution's motion that humidifier disinfectant-associated lung injuries (HDLI) and asthma were associated with the utilization of these products. However, CMIT/MIT, a strong sensitizing and corrosive substance, has been reported to be associated with brain toxicity, allergic contact dermatitis, and asthma. Furthermore, the judgment did not consider total consumption amounts or the cumulative dose of CMIT/MIT in the humidifier. Lastly, there are several cases supporting the fact that exposure to water-soluble substances including CMIT/MIT can cause lower respiratory tract diseases. In addition to cases of asthma among the workers exposed to CMIT/MIT, we identified lung injury victims who were exposed to HDs exclusively containing CMIT/MIT. Conclusions: We conclude that there is sufficient evidence supporting the assertion that HDs containing CMIT/MIT cause lung injuries, including asthma, contrary to the court's judgement.