• Journal of The Korean Society of Integrative Medicine
• /
• v.8 no.4
• /
• pp.93-106
• /
• 2020

Purpose : This study examines dental hygienists' emotional labor, job satisfaction, and turnover intention and defines how this emotional labor affects job satisfaction and turnover intention in hospitals. Methods : Among the dental hygienists currently working for the dental department in hospitals and clinics located in Busan, South Korea, 216 dental hygienists who understood the purpose of this research and agreed to participate were instructed to answer a self-administered questionnaire from April 1 to April 30, 2019. A statistical analysis was subsequently conducted on the responses using the SPSS Win 23.0 program. Results : Emotional labor and job satisfaction showed a negative relationship; thus, as emotional labor was low, job satisfaction was high. Moreover, emotional labor and turnover intention were found to be positively correlated, while job satisfaction and turnover intention were shown to be negatively related (p<0.01). Conclusion : The present study demonstrated that the emotional labor of dental hygienists affects job satisfaction and turnover intention. The results suggests that through systematic organization and human resource management, hospitals should design and implement in practice programs to increase dental hygienists' job satisfaction. In addition, these hospitals should secure compensation systems that are motivating enough to enhance the severe emotional labor of dental hygienists to decrease turnover intention. As another method to lower turnover intention, dental hygienists may attempt to resolve emotional disharmony with their own problem-solving methods; however, it is necessary to develop and support organizational culture for the improvement of their working environment.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.1
• /
• pp.146-151
• /
• 2021

Currently, the demand for vehicles from one family is increasing in many countries at home and abroad, reducing the number of people on the vehicle and increasing the number of vehicles on the road. The multi-passenger lane system, which is available to solve the problem of traffic congestion, is being implemented. The system allows police to monitor fast-moving vehicles with their own eyes to crack down on illegal vehicles, which is less accurate and accompanied by the risk of accidents. To address these problems, applying deep learning object recognition techniques using images from road sites will solve the aforementioned problems. Therefore, in this paper, we compare and analyze the performance of existing deep learning models, select a deep learning model that can identify real-time vehicle occupants through video, and propose a vehicle occupancy detection algorithm that complements the object-ident model's problems.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.6
• /
• pp.1141-1149
• /
• 2020

Most of the industrial control network is an independent closed network, which is operated for a long time after installation, and thus the OS is not updated, so security threats increase and security vulnerabilities exist. The zero-day attack defense must be applied with the latest patch, but in a large-scale industrial network, it requires a higher level of real-time and non-disruptive operation due to the direct handling of physical devices, so a step-by-step approach is required to apply it to a live system. In order to solve this problem, utility-specific patch impact assessment is required for reliable patch application. In this paper, we propose a method to test and safely install the patch using the regression analysis technique and show the proven results. As a patch impact evaluation methodology, the maximum allowance for determining the safety of a patch was derived by classifying test types based on system-specific functions, performance, and behavior before and after applying the patch. Finally, we report the results of case studies applied directly to industrial control networks, the OS patch has been updated while ensuring 99.99% availability.

• The Journal of the Korea Contents Association
• /
• v.21 no.3
• /
• pp.653-663
• /
• 2021

The purpose of this study was to examine the effects of ambivalent sexism and focusing manner on self-concept for middle-aged women, and to verify the factors that can help middle-aged women's positive self-concept. The self-concept scale, the focusing manner scale, and the ambivalent sexism scale were used for this study through the online community targeting middle-aged women aged 35 to 55. As a result of the analysis using SPSS 21.0, it was investigated that there was a significant positive correlation between hostile sexism and benevolent sexism. In addition, It was found out that ambivalent sexism had a significant negative effect on self-concept. It was found out that the high hostile sexism of ambialent sexism led to lowering the self esteem, emotional stability, problem solving stability, interpersonal relationship and interpersonal trust of middle-aged women. Focusing manner had a significant positive effect on self concept, but there were differences for each sub-factor. Express, accept, and keeping one's composure had a significant positive effect, while awareness had a negative effect, and reflecting attitude did not have a significant effect. Finally, limitations of this study were discussed.

• Explosives and Blasting
• /
• v.39 no.1
• /
• pp.1-9
• /
• 2021

As the national economic growth and the rapid increase in industrial structures are aging, the demand for removing steel structures is increasing, and research on improving the penetration performance of the linear shape charge explosives. In the study, numerical analyses were performed on the effect of the type of explosive used in the self-made shape charging container and the initiation method on the cutting performance of the steel plate and the effect on the shaped explosive installed close to it. ANSYS LS-DYNA, which can analyze the large deformation problem of materials due to explosion, was used, and an ALE(Arbitrary-Lagrange-Eulerian) model was applied that enables interlocking analysis of gases, liquids, and solid.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.7
• /
• pp.942-948
• /
• 2020

In this paper, we propose a clustered algorithm that possible more efficient user distinction within clustering using context-aware attribute information. In typically, the data provided to classify interrelationships within cluster information in the process of clustering data will be as a degrade factor if new or newly processing information is treated as contaminated information in comparative information. In this paper, we have developed a clustering algorithm that can extract user's recognition information to solve this problem in using K-means algorithm. The proposed algorithm analyzes the user's clustering attributed parameters from user clusters using accumulated information and clustering according to their attributes. The results of the simulation with the proposed algorithm showed that the user management system was more adaptable in terms of classifying and maintaining multiple users in clusters.

• Journal of the Korean Society of Earth Science Education
• /
• v.13 no.3
• /
• pp.196-210
• /
• 2020

According to many researches, invention education relates to improvement of students' creativity and problem solving skills, which are essential in future. So effective invention education is necessary. This study is to analyze creativity factor, family background and parenting style of three korean inventors in elementary textbooks through narrative inquiry and find similarities. As a result of study, all three inventors had intellectual curiosity, originality, productive thinking and sophistication. And they were born in wealthy families and had a member who support them. Also, their parents had secure attachments to them, actively participated in their education and were the first person who found their creativity.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.3
• /
• pp.261-267
• /
• 2021

The mission of the reserve forces unit is to prepare good training for reserve forces during peacetime. For good training, units require proper organization support agents, but they have difficulties due to a lack of unit members. For that reason, the units forecast the monthly attendance rate of reserve forces (using the x-1 year's result) to organize support agents and unit schedule. On the other hand, the existing planning method can have more errors compared to the actual result of the attendance rate. This problem has a negative effect on the training performance. Therefore, it requires more accurate forecast models to reduce attendance rate errors. This paper proposes an attendance rate forecast model using data mining. To verify the proposed data mining based model, the existing planning method was compared with the proposed model using real data. The results showed that the proposed model outperforms the existing planning method.

• Earthquakes and Structures
• /
• v.20 no.3
• /
• pp.295-307
• /
• 2021

The gap provided between adjacent structures in the metropolitan cities is mostly narrow due to architectural and financial issues. Consequently, structural pounding occurs between adjacent structures during earthquakes. It causes damages, ranging from minor local to more severe ones, especially in the case of seismically isolated buildings, due to their higher displacements. However, due to the increased flexibility of isolated buildings, the problem could become more detrimental to such structures. The effect of the seismic pounding of moat walls on the response of buildings isolated by Triple Friction Pendulum Bearing (TFPB) is investigated in this paper. To this propose, two symmetric three-dimensional models, including single-story and five-story buildings, are modeled in Opensees. Nonlinear Time History Analyses (NTHA) are performed for seismic evaluation. Also, five different sizes with four different sets of friction coefficients are considered for base isolators to cover a whole range of base isolation systems with various geometry configurations and fundamental period. The results are investigated in terms of base shear, buildings' drift, and roof acceleration. Results indicated a profound effect of poundings against moat walls. In situations of potential pounding, in some cases, the influence of impact on seismic responses of multistory buildings was more remarkable.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.45 no.1
• /
• pp.136-154
• /
• 2021

'Slow fashion' has become a hot issue in the fashion world as fast fashion has caused environmental and ethical problems. This study synthesized the characteristics of slow fashion from preceding studies and organized them into four characteristics (craftsmanship, nature-friendly attitude, localism, and pursuit of exclusive value). This study compared designers, John Alexander Skelton and Geoffrey B. Small with four characteristics. First, both designers sought craftsmanship based on tailoring, but Skelton focused on the eco-friendliness of materials, and Small emphasized the development of high-quality fabrics. Second, we found a nature-friendly attitude in both designers, but unlike Skelton, which maintains nature-friendliness in the process of clothing production, Small showed this characteristic through presentations. Third, both designers revealed localism through their affection for the fabrics and culture of each country. Moreover, Small extended its meaning to respect minority tastes. Finally, both designers pursued exclusive values through collections under the themes of class problem, and gender conflicts. However, Skelton melted these topics into British culture and revealed them indirectly versus Small who showed sensitive topics directly in the collections. This study will provide the foundation for analyzing designers through the characteristics of slow fashion, and suggests directions that slow fashion designers should move towards.