• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.16-21
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• 2019

Small and medium-sized Korean companies are currently changing their industrial structure faster than in the past due to various environmental factors (such as securing competitiveness and developing excellent products). In particular, the importance of collecting and utilizing data produced in smart factory environments is increasing as diverse devices related to artificial intelligence are put into manufacturing sites. This paper proposes an artificial intelligence-based smart factory model to improve the process of products produced at the manufacturing site with the recent smart factory. The proposed model aims to ensure the increasingly competitive manufacturing environment and minimize production costs. The proposed model is managed by considering not only information on products produced at the site of smart factory based on artificial intelligence, but also labour force consumed in the production of products, working hours and operating plant machinery. In addition, data produced in the proposed model can be linked with similar companies and share information, enabling strategic cooperation between enterprises in manufacturing site operations.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.9-14
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• 2018

The purpose of this study was to evaluate the relationship between past smoking period and tooth loss in Korean elderly based on the data the Sixth Korea National Health and Nutrition Examination Survey (2013-2015). The study subjects were 4,037 elderly people (1,737 men and 2,300 women) over 65 years old. The statistical analyses were conducted by applying complex sample analysis technique using SPSS/WIN 22.0(${\alpha}=0.05$). The average number of tooth loss in Korean elderly was 11.14. The analysis result of the relationship of the tooth loss according to the past smoking period, the risk of tooth loss was more than twice higher in over 30 years past smoking period group than in under 10 years past smoking period group. In conclusion, the long term past smoking were associated with tooth loss in Korean elderly. Therefore, it seems to need a continuous oral health care through non-smoking policy and education.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.55-64
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• 2019

The purpose of this descriptive research is to get basic data for educational program after investigating convergent effect of psychological capital on learning satisfaction of nursing freshmen. Using SPSS 21, T-test, ANOVA, Pearson's correlation coefficient and hierarchical multiple regression of the 164 collected data were carried out. The mean scores of psychological capital and learning satisfaction were above the middle, and the 'hope' was the highest among subdomains of psychological capital. There was a positive correlation between psychological capital and learning satisfaction(r=.665, p<.001). School performance(${\beta}=.311$), school life satisfaction(${\beta}=.191$) and psychological capital(${\beta}=.522$) were the significant factors of learning satisfaction in hierarchical multiple regression(F=37.651, p=.004). The explanatory rate of variables on learning satisfaction was 57.4%. It is needed applying these results in developing learning satisfaction programs, but it isn't appropriate to generalize these results conducted on nursing freshmen in one university.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.375-380
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• 2018

This paper proposes a classification method using the Convolutional Neural Network(CNN) which can obtain the type of trucks from the input image without the feature extraction step. To automatically classify vehicle images according to the type of truck cargo box, the top view images of the vehicle are used as input image and we design the structure of the CNN suitable for the input images. Learning images and correct output results is generated and the weights of neural network are obtained through the learning process. The actual image is input to the CNN and the output of the CNN is calculated. The classification performance is evaluated through comparison CNN output with actual vehicle types. Experimental results show that vehicle images could be classified with more than 90 percent accuracy according to the type of cargo box and this method can be used for pre-classification for inspecting loading defect.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.41-47
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• 2019

The purpose of this study examine to identify the mediating attitudes toward the geriatric patient in the relation between emotional work and burnout. Data were collected by self-report questionnaires targeting 142 caregiver in D city and G city. Data were analyzed with SPSS/PC ver. 21.0 programs. There were significantly positive correlations between toward the geriatric patient, emotional work and burnout. As a result of analyzing the main factors affecting the level of care performance for attitudes toward caring the geriatric attentiveness, health state, work type appeared to be significant explanatory variables, and this model's explanatory power was 31%. Therefore, it is necessary to apply the education program to improve the social awareness in addition to the stable work environment of the nursing care provider in order to raise the attitude of the caregiver to care for the elderly.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.8-13
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• 2019

Recently, In line with the recent trend of the fourth industrial revolution, many companies and institutions have been increasingly applying automated technologies using artificial intelligence to various tasks. Particularly, due to the government's 52-hour workweek system, companies are increasingly struggling with manpower management. Therefore, they are interested in RPA (Robotic Process Automation) for office environment automation for efficient manpower management. It is being introduced in the back-office business in credit card companies, bank, insurance. These RPA solutions require AI-based recognition technology, scripting technology, business software API-related technologies, and various solutions such as Automate One, Automation Anywhere, UiPath, and Blue Prism are provided. This paper analyzes and describes the technology of RPA solution, the market trend, and the efficiency of RPA adoption.

• Restorative Dentistry and Endodontics
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• v.44 no.3
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• pp.28.1-28.10
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• 2019

Objectives: The aim of this study was to evaluate the influence of different concentrations of nanofillers on the chemical and physical properties of ethanol-solvated and non-solvated dental adhesives. Materials and Methods: Eight experimental adhesives were prepared with different nanofiller concentrations (0, 1, 2, and 4 wt%) and 2 solvent concentrations (0% and 10% ethanol). Several properties of the experimental adhesives were evaluated, such as water sorption and solubility (n = 5, 20 seconds light activation), real-time degree of conversion (DC; n = 3, 20 and 40 seconds light activation), and stability of cohesive strength at 6 months (CS; n = 20, 20 seconds light activation) using the microtensile test. A light-emitting diode (Bluephase 20i, Ivoclar Vivadent) with an average light emittance of $1,200mW/cm^2$ was used. Results: The presence of solvent reduced the DC after 20 seconds of curing, but increased the final DC, water sorption, and solubility of the adhesives. Storage in water reduced the strength of the adhesives. The addition of 1 wt% and 2 wt% nanofillers increased the polymerization rate of the adhesives. Conclusions: The presence of nanofillers and ethanol improved the final DC, although the DC of the solvated adhesives at 20 seconds was lower than that of the non-solvated adhesives. The presence of ethanol reduced the strength of the adhesives and increased their water sorption and solubility. However, nanofillers did not affect the water sorption and strength of the tested adhesives.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.114-121
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• 2019

This study examined the Knowledge of Elementary School Teachers Regarding in ADHD Children Education of ADHD children education for 297 elementary school teachers. The knowledge of ADHD children in inclusive education was made through a questionnaire composed of four areas: attitude, burden, efficacy, and promotional conditions on ADHD children. The collected questionnaire was calculated using technical statistics from the SPSS (WIN 22.0) for frequency and percentage. The results of this study are as follows: First, the teachers of general elementary schools are trying to include education of ADHD children. Second, in the burden of general elementary school teachers on ADHD children education, ADHD children showed interruption of learning, interruption of positive learning atmosphere, interruption of order maintenance of general classroom and teacher's class progress. Third, in the efficacy of general elementary school teachers on ADHD children, they did not have the Knowledge of ADHD symptoms, diagnosis and evaluation of ADHD children, teaching ability for ADHD children education, and ability to deal with ADHD children's behavior. Fourth, in the promotion condition of school for ADHD child education, it was found that there was no connection with external institutions for the support of professional manpower for ADHD children and ADHD child supports.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.1-7
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• 2019

With the recent commercialization of the next generation of wireless 5G in everyday life, many changes have been made to organizations, industries and businesses of various sizes in various fields. However, although the improved speed and latency of 5G has improved, improvements in encryption, authentication and privacy are still required. In this paper, multiple groups of information management techniques are proposed to efficiently protect users' privacy in the heterogeneous environment of 5G. The proposed technique aims to allow distributed management of users' privacy links by clouding the privacy information generated by different heterogeneous devices to efficiently interface with different groups. Suggestion techniques process user-specific privacy information independently in a virtual space so that users can periodically synchronize their privacy information.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.180-188
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• 2019

The purpose of this study is to identify various factors related to depression in adolescents. In this study, a multiple regression analysis was conducted to investigate the factors affecting depression in 1,881 1st grade students in middle school, using the 2016 Panel Investigation for Children and Adolescents of Korea. The attention problems, aggression, physical symptoms, and social withdrawal perceived by adolescents had significant effects on the depression. Out of them, the physical symptoms had the greatest effects on the depression. When the attention problems, aggression, physical symptoms, and social withdrawal of adolescents were higher, the symptoms of depression were increased, which explained 54.1% of adolescents' depression. Such results of this study could be helpful for the educational support and practical intervention for the enhancement of mental health of adolescents.