• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.1-14
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• 2020

This study conducted a topic modeling and semantic network analysis of 'korean wave' and its meaning in Korean society from 2000 to 2019 by applying an agenda setting theory. For this purpose, a total of 197,992 newspaper articles which reported 'korean wave' issues were analyzed by applying topic modeling and semantic network analysis. As a result, first, the word 'korean wave' mainly appeared in korean-related regions in the korean press. culture and economy. second, a total of 9 topics related to korean wave issues appeared. This was followed by 'broadcast', 'export', 'domestic and foreign affairs', 'education', 'beauty and fashion', 'music and performance', 'tourism', 'media(platform)', and 'region'. Lastly, korean wave was mainly discussed at the cultural and economic ares. In addition, it was clustered into five characteristics: 'cultural hallyu', 'business hallyu', 'education', 'environment', and 'geography'.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.407-413
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• 2021

The purpose of this study is to recognize the importance of 'character', which is an important keyword in the era of the 4th revolution, and to approach the teaching method through the life of Haydn and his music among various methods of character education. The purpose of this study was to investigate the research hypothesis that the convergence education of music and character brings positive changes in pre-and post-recognition of sub-elements of character virtues. As a research method, character education was conducted through class activities using Haydn's life and music for a total of 6 times. The result shows the change in pre-and post-cognition of sub-elements of personality virtues, and statistically significant (p<0.01) in all virtues of character education. Activity-oriented classes through the life and music of a composer were worthy for the effective character education. A further study would be meaningful by applying various teaching activities if the scope of study is expanded.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.37-43
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• 2022

The fundamental basis of AI technology is learningable data. Recently, the types and amounts of data collected and produced by the government or private companies are increasing exponentially, however, verified data that can be used for actual machine learning has not yet led to it. This study discusses the conditions that data actually can be used for machine learning should meet, and identifies factors that degrade data quality through case studies. To this end, two representative cases of developing a prediction model using public big data was selected, and data for actual problem solving was collected from the public data portal. Through this, there is a difference from the results of applying valid data screening criteria and post-processing. The ultimate purpose of this study is to argue the importance of data quality management that must be most fundamentally preceded before the development of machine learning technology, which is the core of artificial intelligence, and accumulating valid data.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.53-59
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• 2022

The purpose of this study is to examine the factors related to learning through analysis of domestic research trends in literacy and to present the direction of literacy education. Research papers from 1993 to February 2022 were collected using RISS. 'Literacy' and 'Education' were used as search keywords, and 200 papers were selected for analysis. As a result of analysis using keyword network analysis, 118 keywords appeared at least three times out of a total of 810 keywords. The order of the keywords with the highest frequency is 'digital literacy', 'media literacy', and 'elementary school'. The following direction was suggested through the analysis results. First, it is required to establish an online teaching and learning resource platform and link it with education policy. Second, it is necessary to set literacy competencies and seek ways to improve competencies. Third, a digital-based convergence education model should be developed. This study is meaningful in that it analyzed the most recent literacy studies and suggested the direction of literacy education.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.239-251
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• 2022

This study tried to understand the structural relationship between public crisis communication, emotional influence, and behavioral intention in a national crisis/risk situation. Based on the results of previous studies and empirical studies, the results of crisis/threat type, crisis/threat response, sentiment (crisis/risk responsibility, strategic risk/risk reflective response), and action intention For tourists who visit tourist destinations, as well as the relationship between crisis and risk communication at the tourist destination and one of the unique emotions of Koreans (crisis threat responsibility, strategic response, and reflective response to crisis threat) The relationship between the outcome variable, behavioral intention, was identified. A theoretical study was conducted on each research concept to achieve the proposed research purpose. Based on this, a questionnaire was drawn up and empirical research was conducted in parallel. Three hypotheses were established, and meaningful results were confirmed according to the results of the hypotheses. When a risky situation occurs, the government, business, and local community will actively respond and respond to it as an opportunity to offset the risk of crisis.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.351-356
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• 2022

The era of the 4th industrial revolution is being built on the digital revolution. In order to understand and properly utilize these technological advances, digital literacy education is emphasized. This study investigated the components of digital literacy and proposed a curriculum & teaching and learning method improvement plan, and instructor digital literacy cultivation method. In order to improve the curriculum, it is necessary to improve the curriculum by expanding the ability to solve digital problems. As a plan to improve teaching and learning methods, it is necessary to present a linkage and convergence educational model based on communication, collaboration, and sharing between instructors and learners through the establishment of an interactive platform. In order to improve the digital literacy of instructors, it is very important to improve the educational environment that can easily design a learner-centered educational model. This study is meaningful in that it presented basic data for creating an educational environment based on communication and collaboration through digital literacy in an environment connected with digital technology.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.61-68
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• 2022

In recent years, malicious codes are being produced using the developing information and communication technology, and it is insufficient to detect them with the existing detection system. In order to accurately and efficiently detect and respond to such intelligent malicious code, an intelligent detection model is required, and in order to maximize detection performance, it is important to train with the main characteristic information set of the malicious code. In this paper, we proposed a technique for designing an intelligent detection model and generating the data required for model training as a set of key feature information through transformation, dimensionality reduction, and feature selection steps. And based on this, the main characteristic information was classified by malicious code. In addition, based on the classified characteristic information, we derived common characteristic information that can be used to analyze and detect modified or newly emerging malicious codes. Since the proposed detection model detects malicious codes by learning with a limited number of characteristic information, the detection time and response are fast, so damage can be greatly reduced and Although the performance evaluation result value is slightly different depending on the learning algorithm, it was found through evaluation that most malicious codes can be detected.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.11-18
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• 2022

Linking Ukraine's education system with the trends of global digitalization is mandatory to ensure the sustainable, long-term development of the country, as well as to increase the sustainability of the education system and the economy as a whole during the crisis period. Now the main problems of the education system in Ukraine are manifested in a complex context caused by Russian armed aggression. In the context of war, problems include differences in adaptation to online learning among educational institutions, limited access to education for vulnerable groups in the zone of active hostilities, the lack of digital educational resources suitable for online learning, and the lack of basic digital skills and competencies among students and teachers necessary to properly conduct online classes. Some of the problems of online learning were solved in the pandemic, but in the context of war Ukrainian society needs a new vision of education and continuous efforts of all social structures in the public and private environment. In the context of war, concerted action is needed to keep education on track and restore it in active zones, adapting to the needs of a dynamic society and an increasingly digitized economy. Among the urgent needs of the education system are a change in the teaching-learning paradigm, which is based on content presentation, memorization, and reproduction, and the adoption of a new, hybrid educational model that will encourage the development of necessary skills and abilities for students and learners in a digitized society and enable citizens close to war zones to learn.

• Journal of dental hygiene science
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• v.22 no.4
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• pp.233-240
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• 2022

Background: In modern society, rapid changes in the medical environment have required medical staff to access various information and be competent in active and effective problem-solving through collegial interactions. In line with these changes, universities are aiming to connect education. This study aimed to provide basic data of connected-convergence education by survey the awareness and needs of college students in health-related fields. Methods: This study included 122 college students from the health field. A survey regarding "the awareness and need of connected-convergence education" was conducted and general characteristics of the participants were collected from June to July 2022. Results: The awareness of connected-convergence education was low at 19.7%, but the intention to participate was high at 74.6%. Subject requirements were 18.0% for medical psychology, 13.5% for communication and counseling, 13.5% for medical artificial intelligence technology convergence, and 10.4% for sports health management. In the group showing high satisfaction with the major curriculum, the demand for connected education was also high. For efficient operation, it was investigated that it was necessary to secure specialized training courses, recognition of liberal arts credits, the right to register for courses equal to those of major students, and secure dedicated classrooms. Conclusion: Although the awareness and experience of connected-convergence education among the participants were low, the intention to participate was high. As such a plan to revitalize the university curriculum was required. It is timely to discuss the nurturing of convergence-type talents and multidisciplinary thinking skills. It is meaningful to provide basic data necessary for connected-convergence education in health-related fields at university. Universities should strive to enhance job competency in the health field by providing connected-convergence education based on student demands.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.481-489
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• 2023

Purpose: The purpose of this study is to examine the actual disaster response and suggest improvement measures for introduction of an autonomous police system Method: This study suggests the improvement measures by reviewing police disaster response manual, related statistical data, and statutes comprehensively Result: The introduction of autonomous police system enabled effective management of police based on circumstances of each region. However, there are still doubts on police response against situations that require large number of personnel. According to analysis on roles of autonomous police during the mass disasters, the autonomous police controlled disaster site to prevent secondary damage, prevented additional disaster damages, and rescued people. However, it is hard for the autonomous police to respond against the mass disasters due to its structure. Conclusion: To improve the response of autonomous police against mass disasters, this study suggested on disaster scene control and secondary damage prevention by the police, cooperative disaster response with regional autonomous police, and utilization of control tower.