• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.477-485
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• 2022

This study was conducted to provide basic data to promote hair beauty service education by identifying the difference in the effect of positive psychological capital on job performance and job satisfaction of hair salon workers. For this purpose, in order to empirically verify the effect of positive psychological capital on job performance and job satisfaction of hair salon workers, 280 people engaged in hair salon workers in Gwangju, Daegu and Gyeongsangbuk-do were targeted. As a result of the study, positive psychological capital of hair and hair salon workers affects job performance and job satisfaction, and among the sub-factors of positive psychological capital, hope and optimism appear to affect both job performance and job satisfaction. Therefore, in order to strengthen the positive psychological capital of hair salon workers, it is necessary to develop a convergence program development and strategy that can enhance job performance and job satisfaction and apply it to the hair beauty service field.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.1-25
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• 2022

This study aims to identify the current situation and core competencies of records managers and archivists through an in-depth interpretation of the perception and its meaning behind their experiences and, based on them, to seek the educational service directions of professional organizations. As a result of qualitative data analysis using interpretive phenomenological research method, this study identified three categories of field needs, core competencies, and educational service directions, as well as 10 super-topics, 30 sub-topics, and 82 semantic units. Based on this, this study has suggested the educational service directions of professional organizations, such as the provision of opportunities to secure external driving forces for work innovation, the provision of learning opportunities for communication and public discussion among institutions, and the provision of new partnerships and practical learning opportunities. This study is meaningful in having derived the main educational service directions that professional organizations should focus on and support by identifying the current situation and core competencies of records managers and archivists.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.91-97
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• 2022

This study was conducted to understand the degree of personality and interpersonal relationships among dental hygiene students. The survey was conducted from April 1, 2021 to June 30, 2021. As a result of the study, personality was 3.42 points and interpersonal relationships were 3.46 points. In general, there was a statistically significant difference in both personality and interpersonal subdomains in interpersonal satisfaction and college life satisfaction (p<.05, p<.001). The more experience they had in clinical practice, the lower their scores for friendship and professorship among interpersonal relationships. Among the sub-domains of personality, morality and sociality were analyzed as having the highest positive correlation (r=.674), and in interpersonal relationships, the relationship between friends and professors was analyzed as high (r=.606). Therefore, for the holistic growth of dental hygiene students as preliminary dental hygienists and their adaptation to the dental care field, a long-term strategy and continuous educational approach are needed at the university for cultivating character and interpersonal relationships, which are the basics. In addition, various programs related to the duties of dental hygienists should be developed and methods to be applied should be sought.

• Journal of The Korean Society of Grassland and Forage Science
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• v.42 no.2
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• pp.103-107
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• 2022

This study was carried out to evaluate the seeding date and performance of early maturing rye cultivars for the Dry matter yield (DMY) and nutritive value during 2016 and 2017 in Yeongseo region of Gangwondo, South Korea. The experimental field was designed as a split-plot arrangement. The treatments were two planting dates on September 25 and October 02 as the main plots, and two cultivars of forage rye including Gogu and Koolgrazer as sub-plots. The cultivars were harvested on April 26 at the heading stage of both years. In this experiment, the sowing dates and cultivars of the forage rye did not effect on DMY. The DMY had no significant differences among the cultivars of forage rye and seeding date of both years. Similarly, no significant difference was observed in the DMY of Gogu and Koolgrazer in both seeding date and years. The CP, NDF, ADF, and RFV had no significant differences among the cultivars of forage rye and seeding date of both years. Considering the DMY and nutritive value of the current experiment, seeding of forage rye cultivars Gogu and Koolgrazer on September 25 and October 2 could be used as an recommended seeding date at northern area. In addition, based on the climate characteristics of the region, both cultivars had relatively similar forage yield and quality that makes them to be recommended for cultivation in the region. This study is meaningful in that DMY was first presented in Yeongseo region where there is no cultivation data for forage rye.

• Journal of Korean society of Dental Hygiene
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• v.21 no.6
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• pp.813-820
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• 2021

Objectives: This study was conducted to verify the effectiveness of the VR-applied head and neck anatomy class and to be used as basic data for the development of a teaching method using VR in the basic dental hygiene field. Methods: A convenience sample was extracted from 128 students and graduates who completed the head and neck anatomy class at the department of dental hygiene at a university in Gwangju. From June 1 to July 31, 2021, an online survey was conducted on class attitude and satisfaction, and statistical analysis was performed using frequency analysis and independent sample t-test. Results: Class attitude (3.79), interest (3.64), attention (3.88), learning motivation (3.80), and achievement motivation (3.84) were all high in the head and neck anatomy VR application group (p<0.01). Satisfaction (3.99), relevance of class content (4.06) and class achievement (3.96) were high in the head and neck anatomy VR application group (p<0.01). The suitability of class attitude (3.65) and class content (sub-item of class satisfaction) (4.13) was high in the group with the 4th industrial revolution education experience (p<0.05). Conclusions: The effect of VR application in the head and neck anatomy class was confirmed to increase students' class attitude and satisfaction. In the basic dental hygiene curriculum, it will be necessary to develop and utilize teaching methods related to the 4th industrial revolution and VR application classes.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.127-140
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• 2022

With the recent development of the ICT (information and communication technology), the revolution of the industry has moved on from the third industry to the fourth. There is no doubt that the companies would not survive in the future without adopting these technologies. The purpose of this research is to analyze the intellectual structure of the internet of things(IoT) literature for the Industry 4.0 to suggest a better insight for the field. The data for this research is extracted from the Web of Science database. Total of 1,631 documents and 72,754 references are used for the research with the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure and performed clustering, timeline and burst detection analysis. We identified 12 sub-areas of IoT for the Industry 4.0 which are 'Supply Chain', 'Digital Twin', 'Smart Manufacturing System' and etc. Through the timeline analysis we can find out which clusters will increase or decrease its reputation. As concluding remarks, limitations and further research suggestions are discussed.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.265-284
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• 2022

This study applied dynamic topic modeling on titles and abstracts of 55,442 academic papers in 85 SSCI journals from 2001 to 2020 in order to analyze research topic trend in library and information science. The analysis revealed four major themes of library management, informatics, library service, and library system in 10 major topics. The results also showed subtopics in information science and library management topic areas to change over time, while library service remained stable over 20 years to establish itself as a robust topic. In addition, medical information emerged as a significant sub-topic of informatics, thus exemplifying the interdisciplinary characteristics of library and information science field.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.123-133
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• 2022

In this paper, we propose a Leveled Micro-Degree Job Competency Certification Model that considers the level of the job based on the job defined in the NCS. There is a mismatch of manpower due to the problem of university education that cannot keep up with the rapidly changing technological environment caused by the 4th Industrial Revolution. The Nano-Degree and Micro-Degree systems designed to solve this problem are used for job competency certification of cyber security personnel. NCS sub-categorized job field is defined as Micro-Degree and detailed job by ability unit is defined as Nano-Degree, the level of the ability unit defined by level is equally applied to the Micro-Degree. And it is a system that certifies the job competency corresponding to the degree-based university academic background. By applying this system to the curriculum of Cyber Security School, Yeungnam University College, we proposed a method to configure the Nano-Degree course based on NCS duties. The method proposed in this paper can be used as a method for verifying job competency of Nano-Degree and Micro-Degree, which are recently introduced by many universities.

• Tribology and Lubricants
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• v.38 no.2
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• pp.41-52
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• 2022

Mineral electrical insulating oil, which is widely used in transformers, exhibits excellent cooling performance and transformer efficiency. However, given that it is composed of petroleum-based components, it is weak in terms of biodegradability. This causes environmental problems in case of leakage and a low flash point, which is a factor that would cause great damage in the event of a fire in a substation. In this context, the use of eco-friendly electric insulating oil composed of bio-based vegetable oil and synthetic ester, which has excellent biodegradability and flame retardancy performance, has recently been expanded to the field of electric power, and various research and development (R&D) studies are in progress. According to different research results, vegetable oil and synthetic ester manufacturing technology, thermal stability, oxidation stability, property change, and quality control, which are characteristics of eco-friendly electrical insulating oils, are major factors affecting the maintenance of insulating oil properties. In addition, power companies have established and operated quality control standards according to the use of eco-friendly electrical insulating oil as they expand the exploitatoin of renewable energy in electricity production. In particular, deterioration and oxidation characteristics were jointly identified in R&D as an important influencing factor according to the content of saturated and unsaturated fatty acids present in vegetable oils and synthetic esters in power transformer applications.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.