• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.243-254
• /
• 2019

The purpose of this study was to investigate the effect of helplessness, depression, subjective health status, family support, and social support on health promoting behaviors of elderly people over 65 years old. The subjects of this study were 3 welfare centers in G city and C city, 3 senior citizen center and 225 elderly people in 2 geriatric hospital, and this study was analyzed with descriptive statistics, reliability, correlation, confirmatory factor analysis, fitness test, total effect, direct effect, and indirect effect. The direct effects of variables affecting health promoting behaviors were social support, depression, family support, subjective health status, and helplessness. These variables accounted for 66% of health promoting behaviors. Depression, helplessness had a significant indirect effect on family support and social support, and subjective health status had a significant indirect effect on social support, but didn't have a significant indirect effect on family support. In this paper, we propose a new approach to elderly's health promoting behaviors and it is recommended that an intervention program be developed and applied to on personal situation should be necessary for elder's depression, helplessness and subjective health status.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.36 no.6
• /
• pp.581-588
• /
• 2018

The aim of this study is to propose a fine co-registration approach for multi-temporal satellite images acquired from RapidEye, which has an advantage of availability for time-series analysis. To this end, we generate multitemporal ortho-rectified images using RPCs (Rational Polynomial Coefficients) provided with RapidEye images and then perform fine co-registration between the ortho-rectified images. A DEM (Digital Elevation Model) extracted from the digital map was used to generate the ortho-rectified images, and the RNCC (Registration Noise Cross Correlation) was applied to conduct the fine co-registration. Experiments were carried out using 4 RapidEye 1B images obtained from May 2015 to November 2016 over the Yeonggwang area. All 5 bands (blue, green, red, red edge, and near-infrared) that RapidEye provided were used to carry out the fine co-registration to show their possibility of being applicable for the co-registration. Experimental results showed that all the bands of RapidEye images could be co-registered with each other and the geometric alignment between images was qualitatively/quantitatively improved. Especially, it was confirmed that stable registration results were obtained by using the red and red edge bands, irrespective of the seasonal differences in the image acquisition.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.3
• /
• pp.197-202
• /
• 2019

In the era of the fourth revolution, interest in content production using proven engines in the broadcasting sector, such as Vizrt, is growing. The new visual effects required in the 5G era are critical to content production training. Vizrt has a good production time utility and affordability for broadcast and media content. In this paper, we are going to use this to present a practical case of the theorem and application of the basic training course in the production of virtual content, and to present the basic training direction. In the introduction, the graphic algorithm analyzed and studied the characteristics and environmental factors of the Vizrt engine. In this paper, the production process was studied separately, and the work carried out through engine implementation was presented. The VS Studio Foundation was provided as a practical production case at each stage. The Vizrt engine operator process is important in graphic approach and application, and through the results of the lecture, the method of understanding and implementing algorithms for virtual reality perspective suitable for basic learning was studied. Based on practice, the research method of main theory was to create Vizrt contents specialized in 5G contents work in each sector and to implement graphic production in new areas from contents image. Through this study, we came to the conclusion of the basic training method through virtual reality content work based on Vizrt by practicing content creation according to the subject. It also proposes the effect of creating Vizrt content and the direction of building Vizrt basic training courses.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.15-26
• /
• 2019

This study was to explore the domestic research trends, and education and operation cases concerned with Korean colleges in the fourth industrial revolution era. It was conducted through the analysis of 114 academic papers registered to the Korea Research Foundation, the newspaper articles, and the main 4-year university homepage from 2016 to April 2019. The results was as follows. Research papers have been increasing since 2016; research were conducted by humanities and social sciences as well as engineering academics interesting in research topics such as technologies, curriculum, and teaching and learning by mainly using quantitative research, literature research. As for the college education, reorganization of the undergraduate and majors centered on the science and engineering field, teaching and learning related with learner's participation and performance, and provide efficient academic affairs management and career guidance using Chatbot or Cloud computing. Industry-academia cooperation was focuses on the field of science and engineering. In future research, it is necessary to explore the research on college students' career and employment, the research on academic affairs management and infrastructure, the relational research considering the variables among college students and faculties, and the qualitative and mixed method approach.

• Journal of Digital Convergence
• /
• v.17 no.9
• /
• pp.135-145
• /
• 2019

Prolonged recession has caused the youth unemployment rate in Korea to remain at a high level of approximately 10% for years. Recently, the number of unemployed Koreans in their 30s and 40s has shown an upward trend. To expand the government's employment promotion and unemployment benefits from youth-centered policies to diverse age groups, including people in their 30s and 40s, prediction models for different age groups are required. Thus, we aimed to develop unemployment prediction models for specific age groups (30s and 40s) using available unemployment rates provided by Statistics Korea and Google search queries related to them. We first estimated multiple linear regressions (Model 1) using seasonal autoregressive integrated moving average approach with relevant unemployment rates. Then, we introduced Google search queries to obtain improved models (Model 2). For both groups, consequently, Model 2 additionally using web queries outperformed Model 1 during training and predictive periods. This result indicates that a web search query is still significant to improve the unemployment predictive models for Koreans. For practical application, this study needs to be furthered but will contribute to obtaining age-wise unemployment predictions.

• Journal of Digital Convergence
• /
• v.17 no.1
• /
• pp.239-247
• /
• 2019

An accurate prediction of emotion is a very important issue for the sake of patient-centered medical device development and emotion-related psychology fields. Although there have been many studies on emotion prediction, no studies have applied the heart rate variability and neuro-fuzzy approach to emotion prediction. We propose ANFEP(Adaptive Neuro Fuzzy System for Emotion Prediction) HRV. The ANFEP bases its core functions on an ANFIS(Adaptive Neuro-Fuzzy Inference System) which integrates neural networks with fuzzy systems as a vehicle for training predictive models. To prove the proposed model, 50 participants were invited to join the experiment and Heart rate variability was obtained and used to input the ANFEP model. The ANFEP model with STDRR and RMSSD as inputs and two membership functions per input variable showed the best results. The result out of applying the ANFEP to the HRV metrics proved to be significantly robust when compared with benchmarking methods like linear regression, support vector regression, neural network, and random forest. The results show that reliable prediction of emotion is possible with less input and it is necessary to develop a more accurate and reliable emotion recognition system.

• Journal of Digital Convergence
• /
• v.17 no.5
• /
• pp.333-346
• /
• 2019

The purpose of this study is to find out the direction of overseas expansion strategy that should be established as a public broadcaster and a media company in order to overseas expand Korea EBS's. This study used a literature research method to analyze the related literature and data for analyzing strategies of major global media companies and overseas public service broadcasters (PSBs). As a result of the research, it suggests that the direction of EBS overseas expansion should approach both commercial business diversification and fulfillment of public responsibility. In particular, it suggests that transferring project of Korea's educational broadcasting system to developing country should be developed as a core business for spreading overseas expansion. In a follow-up study, it is necessary to carry out a research that suggests a comprehensive strategy of overseas expansion of EBS based on the result of this study.

• Journal of Digital Convergence
• /
• v.19 no.8
• /
• pp.33-42
• /
• 2021

As smartphone-based tourism platforms have become active, policy establishment and service enhancement using review data are being made in various fields. In the case of the preceding studies using tourism review data, most of the studies centered on domestic tourists were conducted, and in the case of foreign tourist studies, studies were conducted only on data collected in some languages and text mining techniques. In this study, 3,515 review data written by foreigners were collected by designating the "Daegu attractions" keyword through the online review site. And LDA-based topic modeling was performed to derive tourism topics. The spatial approach through global and local spatial autocorrelation analysis for each topic can be said to be different from previous studies. As a result of the analysis, it was confirmed that there is a global spatial autocorrelation, and that tourist destinations mainly visited by foreigners are concentrated locally. In addition, hot spots have been drawn around Jung-gu in most of the topics. Based on the analysis results, it is expected to be used as a basic research for spatial analysis based on local government foreign tourism policy establishment and topic modeling. And The limitations of this study were also presented.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.674-681
• /
• 2021

Cyber attacks targeting critical infrastructure are on the rise. Critical infrastructure is defined as core infrastructures within a country with a high degree of interdependence between the different structures; therefore, it is difficult to sufficiently protect it using outdated cybersecurity techniques. In particular, the distinction between the physical and logical risks of critical infrastructure is becoming ambiguous; therefore, risk management from a comprehensive perspective must be implemented. Accordingly, as a means of further actively protecting critical infrastructure, major countries have begun to apply their security and cybersecurity systems by design, as a more expanded concept is now being considered. This proactive security approach (CSbD, Cybersecurity by Design) includes not only securing the stability of software (SW) safety design and management, but also physical politics and device (HW) safety, precautionary and blocking measures, and overall resilience. It involves a comprehensive security system. Therefore, this study compares and analyzes security by design measures towards critical infrastructure that are leading the way in the US, Europe, and Singapore. It reflects the results of an analysis of optimal cybersecurity solutions for critical infrastructure. I would like to present a plan for applying by Design.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.439-445
• /
• 2021

This study aims to investigate the distance of culture and life by 'The Relation-Approach.' For this, We identified the path and mechanism of importance of culture and life through the concept of respective distance and closed distance. We found that the structure of closed culture and closed life makes the distance of culture and life dangerous, which is operated as the factor of making dangerous culture and life. This fact shows that respectiveness operates in the process of converting respective distance to closed distance. Also, It was confirmed that the problem of solving dangerous distance can be established in the condition that mutual distance of culture and life can have the possibility of accomplishment. But We found the fact that the distance which is regarded as the true mutual distance having the consistence of the open condition-accomplishment in culture and life is actually operated by making the dangerous path and mechanism. In this point, We suggested the concept of 'The Multi-tier Dangerousness,' not 'The Single-tier Dangerousness.' We also found the importance of dangerousness of perception with a view to resolving dangerousness operating in culture and life. The fact that 'dangerousness of perception' produced 'dangerousness of phenomenon' was identified. Further more, We suggested that intrinsic perception is needed so as to healthy culture and life. And Open perception was emphasized to go to mutual distance beyond respective distance.