• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.393-405
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• 2019

This study is descriptive survey research to find out factors which violence experience, violence coping and social support affect. This study aims at reducing burnout of psychiatry nurses and founding problem-oriented violence handling standardized intervention. The subjects were 204 nurses who have worked for more than a year in a hospital. The data collection period was conducted with structured survey from July 1, 2018 to August 31, 2018. Collected data was analysed with average, standard deviation, t-test, ANOVA, Pearson's Correlation confident, Multiple Regression and this data will go to by SPSS. The results of the study were as follows. 92.2% of psychiatry nurses are experiencing verbal violence, 92.2% are experiencing physical threat and 75.5% are experiencing physical violence. Relations between violence experience and violence coping(r=0.15. p<.027), violence experience and burnout(r=0.16, p<.017) were positive correlation. Relation between violence coping and social support(r=0.30, p<.001) was positive correlation, and social support and burnout(r=-0.28, p<.001) was negative correlated. Also we found out that nursing job satisfaction, social support and physical violence experience affect burnout. Which shows model's explanatory power was 33.3%. Therefore preventive discipline which can reduce violence experience of psychiatry nurses, founding systems to reinforce social support and creating circumstance where nursing job satisfaction can increase will help reduce burnout and serve better nursing.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.306-315
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• 2019

The purpose of this study was to analyze empirically influential factors related to the recovery of people with a mental disorder and also the moderating effects of family resilience. For this purpose, the investigator developed a research model that took into consideration both the positive and negative elements of individual and social factors based on the ecological, psychological, social, and ecosystem perspectives in previous studies and checked their causal effects and the moderating effects of family resilience in statistical significance. The subjects include 112 clients at an institution for people with a mental disorder. Data was collected with an interview based on a structured questionnaire. Collected data was put to the multiple regression analysis. The analysis results show that there was statistical significance in self-esteem, social stigma, and social support excluding symptoms and that the moderating effects of family resilience had positive(+) synergistic effects only on self-esteem and social support. Based on these results, the study made proposals about practice strategies including the establishment of internal and external support systems to make an effective approach to recovery and the systemization of family resilience and supportive strategies to promote the smooth recovery of people with a mental disorder through the reinforcement of programs related to the confirmed positive elements of self-esteem and social support.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.453-461
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• 2021

This study aims to study the effect of service quality of lifelong education in culture and arts on educational satisfaction, intention to continuous use and performance. The service quality of culture and art lifelong education was divided into three dimensions: education quality, administrative quality, and environmental quality. As detailed factors related to quality, six variables were set based on SERVQUAL: convenience, expertise, responsiveness, supportability, empathy, and tangibility. For this study, data were collected from 310 people taking cultural arts lectures at lifelong educational institutions in Seoul, Daegu, and Gumi. Since it was only for lectures related to culture and arts, a total of 256 materials were used for the study, excluding inappropriate materials. A structured questionnaire was used as a data collection method, and a structural model analysis was conducted to verify the hypothesis. As a result of this study, responsiveness among the service quality factors of lifelong education for culture and arts was rejected. In addition, the higher the satisfaction with the culture and art lifelong education institution, the higher the performance and the intention to continue using it. The theoretical and practical implications of this study result were discussed, and future research tasks were presented.

• Elastomers and Composites
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• v.55 no.4
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• pp.306-313
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• 2020

To investigate the reinforcing effects of functional fillers in nitrile rubber (NBR) materials, high-structure carbon black (HS45), coated calcium carbonate (C-CaCO3), silica (200MP), and multi-walled carbon nanotubes (MWCNTs) were used as functional filler, and carbon black (SRF) as a common filler were used for oil-resistant rubber. The curing and mechanical properties of HS45-, 200MP-, and MWCNT-filled NBR compounds were improved compared to those of the SRF-filled NBR compound. The reinforcing effect also increased with a decrease in the particle size of the fillers. The C-CaCO3-filled NBR compound exhibited no reinforcing effect with increasing filler concentration because of their large primary particle size (2 ㎛). The reinforcing behavior based on 100% modulus of the functional filler based NBR compounds was compared by using several predictive equation models. The reinforcing behavior of the C-CaCO3-filled NBR compound was in accordance with the Smallwood-Einstein equation whereas the 200MP- and MWCNT-filled NBR compounds fitted well with the modified Guth-Gold (m-Guth-Gold) equation. The SRF- and HS45-filled NBR compounds exhibited reinforcing behavior in accordance with the Guth-Gold and m-Guth-Gold equations, respectively, at a low filler content. However, the values of reinforcement parameter (100Mf/100Mu) of the SRF- and HS45-filled NBR compounds were higher than those determined by the predictive equation model at a high filler content. Because the chains of SRF composed of spherical filler particles are similarly changed to rod-like filler particles embedded in a rubber matrix and the reinforcement parameter rapidly increased with a high content of HS45, the higher-structured filler. The reinforcing effectiveness of the functional fillers was numerically evaluated on the basis of the effectiveness index (��SRF/��f) determined by the ratio of the volume fraction of the functional filler (��f) to that of the SRF filler (��SRF) at three unit of reinforcing parameter (100Mf/100Mu). On the basis of their effectiveness index, MWCNT-, 200MP-, and HS45-filled compounds showed higher reinforcing effectiveness of 420%, 70%, and 20% than that of SRF-filled compound, respectively whereas C-CaCO3-filled compound exhibited lower reinforcing effectiveness of -50% than that of SRF-filled compound.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.104-112
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• 2021

In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.346-356
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• 2020

Purpose: This study was to identify the Health beliefs of the vulnerable group on the prevention of STI and to identify the factors that influence prevention behavior. Methods: The participants were 241 of persons vulnerable to STI. A total of 241 questionnaires were collected by mail or in person through relevant workplace, group members, and visitors to public health centers with structured questionnaires. The SPSS 21.0 program was used to perform descriptive statistics, t-test, one way ANOVA, Pearson's correlation and multiple regression. Results: As a result, the level of perceived susceptibility was 2.70, perceived severity was 3.63, perceived benefits of condom use was 3.82, Perceived barriers of condom use was 2.45, self-efficacy of condom use 3.93 and prevention behavior of STI was 3.51 based on 5-point Likert scale. Condom use self-efficacy(��=.23, p=.003), perceived barriers of condom use(��=-.15, p=.035), and level of education(��=.16, p=.018) were important factors influencing STI prevention behavior and the regression model explained 17% of STI prevention. In conclusion, it is necessary to develop a systematic education program in consideration of factors influencing and improving awareness to prevent STI.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.163-180
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• 2022

Real estate data can be big data. Because the amount of real estate data is growing rapidly and real estate data interacts with various fields such as the economy, law, and crowd psychology, yet is structured with complex data layers. The existing Relational Database tends to show difficulty in handling various relationships for managing real estate big data, because it has a fixed schema and is only vertically extendable. In order to improve such limitations, this study constructs the real estate data in a Graph Database and verifies its usefulness. For the research method, we modeled various real estate data on MySQL, one of the most widely used Relational Databases, and Neo4j, one of the most widely used Graph Databases. Then, we collected real estate questions used in real life and selected 9 different questions to compare the query times on each Database. As a result, Neo4j showed constant performance even in queries with multiple JOIN statements with inferences to various relationships, whereas MySQL showed a rapid increase in its performance. According to this result, we have found out that a Graph Database such as Neo4j is more efficient for real estate big data with various relationships. We expect to use the real estate Graph Database in predicting real estate price factors and inquiring AI speakers for real estate.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.81-86
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• 2022

In this work, we propose a method for automatically determining the domain of columns of file data structured by csv format. New data can be generated through convergence between data and data, and the consistency of the joined columns must be maintained in order for these new data to become an important resource. One of the methods for measuring data quality is a domain-based quality diagnosis method. Domain is the broadest indicator that defines the nature of each column, so a method of automatically determining it is necessary. Although previous studies mainly studied domain automatic discrimination of relational databases, this study developed a model that can automate domains using the characteristics of file data. In order to specialize in the domain discrimination of file data, the data were simplified and patterned using a regular expression, and the contents of the data header corresponding to the column name were analyzed, and the suffix used was used as a derived variable. When derivatives of regular expressions and suffixes were added, the result of automatically determining the domain with an accuracy of 95% greater than the existing method of 87% was derived. This study is expected to reduce the quality measurement period and number of people by presenting an automation methodology to the quality diagnosis of public data.

• Korean Educational Research Journal
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• v.43 no.1
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• pp.125-152
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• 2022

The purpose of this study is to examine the differences of perceptions of teachers and students regarding teaching skills. For the analysis, data was collected by ICALT(International Comparative Analysis of Learning and Teaching) class observation tool and students survey called My Teacher Questionnaire. a student survey. The data of teachers and students can be compared because as the two tools have seven common domains(Safe and stimulating learning climate, Efficient organization, Clear and structured instructions, Intensive and activating teaching, Adjusting instructions and learner processing to inter-learner differences, Teaching learning strategies, Learner engagement). In 2016, in Daejeon, Chungbuk and Chungnam. trained teachers collected data from 106 classes, and 2,866 students responded the survey. The reliability and validity of the two tools, class observation and MTQ(My Teacher Questionnaire) are proven to be satisfactory for use in Korean schools. Students perception on teaching was high, particularly when students are in lower grades and learning major subjects like English, Korean, and math. The domain of higher teaching skills, male students show higher perceptions while female students reported higher perceptions on lower-level teaching skill domains. To compare the perceptions of teachers and students, the predictive reliability of students engagement against teaching skill domains was used. Teachers showed higher predictive reliability on lower teaching skill domains while students showed higher predictive reliability on higher teaching skill domains. It is recommended for further study to develop a professional development model using a teacher class observation tool and the My Teacher Questionnaire for pre-service teachers and school teachers.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.343-353
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• 2022

This study examines which factors will act as important factors for the public in designing a platform in the future to raise public awareness of the horse industry, and through this, a study on platform design factors of the horse industry to present insights on optimal platform design. For this study, structured questionnaires were distributed to 300 domestic adults who were interested in the horse industry to collect data, and the research questions set by using the statistical processing program SPSS 22.0 Ver were verified. As a result of the study, the usefulness of information in the central route and the playfulness of the information source among the peripheral routes were the most influential factors for consumer attitudes, and the up-to-dateness of information in the central route on consumer behavioral intentions. It was found that the attractiveness of the information source among the surrounding routes was the most influential factor. In addition, it was found that the positive attitude of consumers toward the horse industry platform is a factor that has a positive effect on the purchase intention and positive word of mouth intention for the horse industry in the future. Based on these results, this researcher needs to design content that can unravel useful information related to the horse industry in an interesting way to raise public awareness of the horse industry, and to provide the latest trends related to the horse industry at all times to draw real demand It should be possible and suggested that a design configuration that can make the platform feel more attractive is needed.