• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.235-245
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• 2021

In the era of the 4th Industrial Revolution, complex problems of the advertising and PR industry ecosystem, which have become more complex than in the past, are raised, and the necessity and importance of convergence education is being demanded. In this study, the usefulness and implementation plan of the team teaching method for revitalization of convergence education were studied by conducting in-depth interviews with experts in academia and practice expert. The results of this study summarized that it is appropriate to introduce a team teaching method in which academia and industry jointly participate in the curriculum of the Department of Advertising and PR. It was found to be a meaningful educational method aimed at nurturing students with problem-solving ability. This study proposed a new industry-academic cooperation model as an exploratory study of advertising and PR department and team teaching education.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.5
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• pp.475-481
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• 2019

The paradigm of convergence R&D is shifting from the convergence of technologies to the convergence of solutions to solve the complex problems of scientific and social development. On the other hand, it is prevalent that there is a lack of convergence in our research field. Although Korea has invested heavily in fusion research and development, Korea has mainly focused on the application and development of technology, so failed to plan convergence R&D in line with the new paradigm. Therefore, in this study, we searched for convergence R&D area that is being done to solve social problems, and tried to make use of data-driven objective methods. For this purpose, we used the investment information of global R&D projects that had no retrospective properties and derived the convergence R&D area related to coastal flooding.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.4_2
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• pp.627-636
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• 2022

Market convergence plays an increasingly important role in sustaining competitiveness and providing impetus for the new product development. However, existing research focused mostly on the analysis of convergence at technology level. This study examines the phenomenon of market convergence based on the start-up data. Similar to the analysis of technology convergence, this study adopts the concept of co-classification analysis for constructing the co-occurrence matrix and the corresponding network. In this context, network centrality measures were calculated to assess the influence of individual market segments. Based on three metrics "growth", "persistence" and "novelty", the market convergence dynamics were explored and promising interactions between two distinct market segments were highlighted. The findings suggest that both segments "AI" and "blockchain" are acting as a driver that fosters market convergence in the startup landscape. The analysis results can provide valuable information for the R&D managers and policy makers in the design of targeted policies and programs, which can promote market convergence and interdisciplinary knowledge transfer.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.9
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• pp.33-39
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• 2020

Self-piercing rivets are often used in the automotive industry, among other industries, as mechanical components to join multiple materials such as aluminum alloys. Self-piercing rivets have a strong sealing property, although there is considerable scope for their performance improvement. In this study, to enhance the performance of self-piercing rivets, the hybrid self-piercing riveting (SPR) technique, using the existing SPR and structural adhesive, was proposed. Moreover, heterogeneous material specimens subjected to the hybrid SPR technique were manufactured and tested. The joint strength of the test pieces of different materials was evaluated through finite element analyses.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.4
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• pp.425-434
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• 2022

Objectives: This study analyzes TVOC concentrations in root industry workplaces in order to prevent probable occupational disease among workers. Root industry includes all the infrastructure of manufacturing, such as casting and molding. Methods: Real-time TVOC sensors were deployed in three root industry workplaces. We measured TVOC concentrations with these sensors and analyzed the results using a data-analysis tool developed with Python 3.9. Results: During the study period, the mean of the TVOC concentrations remained in an acceptable range, 0.30, 2.15, and 1.63 ppm across three workplaces. However, TVOC concentrations increased significantly at specific times, with respective maximum values of 4.98, 28.35, and 26.65 ppm for the three workplaces. Moreover, the analysis of hourly TVOC concentrations showed that during working hours or night shifts TVOC concentrations increased significantly to higher than twice the daily mean values. These results were scrutinized through classical decomposition results and autocorrelation indices, where seasonal graphs of the corresponding classical decomposition results showed that TVOC concentrations increased at a specific time. Trend graphs showed that TVOC concentrations vary by day. Conclusions: Deploying a real-time TVOC sensor should be considered to reflect irregularly high TVOC concentrations in workplaces in the root industry. It is expected that the real-time TVOC sensor with the presented data analysis methodology can eradicate probable occupational diseases caused by detrimental gases.

• Korean Journal of Health Education and Promotion
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• v.33 no.2
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• pp.47-55
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• 2016

Objectives: We investigated whether the rate of depressive symptom is higher among family members of asthmatic patient compared to people who had no asthmatic family member. Methods: This study used data from the fourth and fifth Korea National Health and Nutrition Examination Survey (2007-2012). In this cross-sectional study, 15,987 men (mean age 46.4) and 20,906 women (mean age 47.4) were included. To compare the rate of depressive symptoms in individuals who had a family member with asthma and those who did not have, we analyzed data using survey logistic regression. Results: Diagnosed depression was reported by 3.0% of the study population, by 4.2% of asthmatic patient's family member, and by 3.0% of individuals who did not have a family member with asthma. Family members of asthmatic patient increased odds of diagnosed depression compared with those who did not had an asthmatic family member (odds ratio = 1.56, p = 0.008). Conclusions: To prevent depression among family members of asthmatic patient, health education for entire family of asthmatic patient need to be considered. Also, government and policy makers should give more attention to caregivers who had a family member with asthma.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1432-1438
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• 2015

We present a methodology to detect moving shadows in video sequences, which is considered as a challenging and critical problem in the most visual surveillance systems since 1980s. While most previous moving shadow detection methods used hand-crafted features such as chromaticity, physical properties, geometry, or combination thereof, our method can automatically learn features to classify whether image segments are shadow or foreground by using a deep learning architecture. Furthermore, applying Markov Random Field enables our system to refine our shadow detection results to improve its performance. Our algorithm is applied to five different challenging datasets of moving shadow detection, and its performance is comparable to that of state-of-the-art approaches.

• Journal of Life Science
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• v.25 no.9
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• pp.961-969
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• 2015

Epigallocatechin gallate (EGCG), the main catechin in green tea, has been shown to have some beneficial effects against various human diseases, including diabetes, neurodegenerative disorders, cancer, cardiovascular disease and obesity. To investigate the mechanism of the suppressive effects of EGCG on inflammatory response in macrophages, alterations on the levels of nitric oxide (NO) regulatory factors and inflammatory cytokines were measured in lipopolysaccharide (LPS)-activated RAW264.7 cells. No significant toxicity was detected in RAW264.7 cells treated with 100–400 μM EGCG. Moreover, the optimal concentration of LPS was determined to be 1 μg/ml based on the results of cell viability assay, NO assay and IL-6 enzyme-linked immunsorbent assay (ELISA). Furthermore, NO levels decreased significantly by 68.2% in the 400 μM EGCG/LPS treated group, while the level of inducible nitric oxide synthase (iNOS) expression decreased by 12-17% in the 200 and 400 μM EGCG/LPS treated group. A significant decrease in transcription of pro-inflammatory cytokines (TNF- α and IL-1β) and anti-inflammatory cytokine (IL-10) was also detected in the EGCG/LPS treated group. However, IL-6 transcript and protein was maintained at a constant level when in the LPS treated group relative to the EGCG/LPS treated group. Overall, these results suggest that the differential regulation of inflammatory cytokines is an important factor influencing the suppressive effects of EGCG against LPS-activated inflammatory response in RAW264.7 cells.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.35-41
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• 2008

The digital economic environment of next generation, which digital high-technology industry appears to be the economic center of the high degree of industry structure, is expected to be developed as the existing traditional industry is merged with high tech digital one. The developing system of contents policy for digital industry means the policy and vision, and strategic structure which get the mechanism of contents industry structure to work. The promotion organization of digital contents policy is requested to secure the framework of digital contents industry based on cluster, the infra framework of digital infra culture, the infra framework of industry-academic cooperation, and the overall digital contents based on motive policy for the vitality of the youth. The application of digital contents policy may lead to establish the framework of the growth for the every unit of industry with the cluster oriented system.

• Photonics industry news
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• s.65
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• pp.39-41
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• 2011