• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.695-712
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• 2021

As the use of smart devices is being increased rapidly by the development of internet and IT technology, the contents production and utilization rate are showing higher increase, too. In addition, the type of contents also shows very diverse forms such as education, game, video, UCC, etc. In the meantime, the contents are reproduced in diverse forms by reprocessing the original contents, and they are being serviced through the contents service platform. Therefore, the platform to make the contents reprocessing easy and fast is needed. As the diverse contents distribution channels such as YouTube, SNS, App Service, etc, easier contents distribution platform is needed, and the development of the relevant area is expected. In addition, as the selective consumption of the contents having easy accessibility through diverse smart devices is distinguished, the demand for the platform and service that can identify the contents consumption propensity by individual is being increased. Therefore, in this study, to vitalize the online contents distribution, the contents reproduction and publishing platform, was designed and materialized, which can reproduce and distribute the contents based on the real-time contents editing technology in URL unit and the consumer propensity analysis technology using the data management-based broadcasting contents distribution metadata technology and the edited image contents streaming technology. In addition, in the results of comparing with other platforms through the experiment, the performance superiority of the suggested platform was verified. If the suggested platform is applied to the areas of education, broadcasting, press, etc, the multi-media contents can be reproduced and distributed easily, through which the vitalization of contents-related industry is expected.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.35-45
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• 2018

Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.644-646
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• 2016

Deaf are it is difficult to communicate to represent the voice heard, so theay use mostly using the speech, sign language, writing, etc. to communicate. It is the best way to use sign language, in order to communicate deaf and normal people each other. But they must understand to use sign language. In this paper, we designed and implementated finger language translation system to support communicate between deaf and normal people. We used leap motion as input device that can track finger and hand gesture. We used raspberry pi that is low power sing board computer to process input data and translate finger language. We implemented application used Node.js and MongoDB. The client application complied with HTML5 so that can be support any smart device with web browser.

• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.665-676
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• 2019

This study provides basic data for future design proposals aimed at improving the uniforms and bullet/stab proof garments of local police. An analysis was conducted on various aspects of the uniforms used until 2015 and those newly introduced in 2016. Current bullet/stab proof garments were compared with old stab proof garments; in addition, police force posting on the internal SNS were analyzed in regards to the improvement needs for uniforms. Analyses results are as follows. As for the uniforms, convenience was improved by eliminating the necktie, and the four trigrams embroidery was added to emphasize the Korean identity. Cargo-style pants were added for enhanced activity, and the color of the top was changed to turquoise to improve discrimination. In terms of material, durable polyester was used heavily in outside uniforms that were likely to be damaged during work; consequently, the percentage of elastic materials was increased for improved activity. The price showed a high increase rate due to inflation and the use of functional new materials. Complaints and demands for improvement continued despite various modifications made to uniforms and suggested a strong need for further improvements that reflected the opinions of wearers. As for the protective garments, there was a limit to reducing the final weight despite the use of lightweight material because of protection performance enhancements made from expanding the protection surface area. Also, considering further decrease in supply rate, it was deemed necessary to secure budget for full supply of bullet/stab proof garments.

• Journal of Distribution Science
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• v.18 no.12
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• pp.79-90
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• 2020

Purpose: This study aims to explore the service improvement and marketing strategy to measure the effect of the DISC (dominance, influence, steadiness, conscientiousness) behavior type of hair salon workers on service quality and marketing. Research design, data and methodology: 236 responses were analyzed by distributing questionnaires to hair salon workers through SNS. Factor analysis and reliability analysis were applied and the influence of job factors on work satisfaction and turnover intention, and the statistical significance of the DISC behavioral type adjustment effect verified. Results: First, among the general characteristics of the survey subjects, the most common respondents were women and interns in their twenties, with less than four years of experience and less than three years of work experience on site. Second, the working environment, employee relations and compensation policies caused by work-related factors have shown a major influence on work satisfaction. Third, the working environment and human relationships among the job factors have an impact on turnover intention. Conclusions: The working environment, human relations, and compensation system derived as job factors had a crucial effect in service quality and marketing on job satisfaction, and among job factors, working environment and human relations had a significant influence on turnover intention.

• Trans-
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• v.11
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• pp.97-116
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• 2021

This study aims to suggest an environment in which audience can play the role of micro-influencers after exploring the factors of satisfaction focusing on audiences who attended the Seoul Dance Film Festival(SeDaFF). In order to meet the research goal, among the audiences who attended SeDaFF, articles mentioning this festival on their SNS were collected and this data was analyzed using the LDA topic model. As a result, the most important satisfaction factor when visiting a dance film festival was the program. It might seem cliché to discuss the importance of programs at film festivals, but through the examination, this study made the case that if the satisfaction factor is met, it is still possible to influence the behavioral intentions and reinforcing the role of a micro-influencer even in a genre with a strong artistic nature and a limit to audience development. Furthermore, this study was intended to contribute to broadening the scope of research on the audience.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.39-48
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• 2020

This study is a qualitative study to understand the meaning and essential structure of the experiences of Tae-um (Workplace bullying) experienced in hospital organizations for nurses. The participants were interviewed by selecting 10 persons who agreed to participate in the research through SNS in the workplace with the cooperation of the hospital. The collected data were analyzed using Colaizzi's phenomenological method. As a result of the study, Tae-um in the hospital organization of clinical nurses was divided into 4 categories(Taking the terrible first step, A series of hardships that never end, Hang on to myself, Wings flight of for adaptation) and 16 It was derived from themes. In conclusion, it was confirmed that Tae-um, not only new nurses, but even nurses who have accumulated careers, are still in progress, so they are adapting to the difficult hospital organization. Therefore, if a psychological support program for nurses is introduced, it will contribute to solving the Tae-um problem and establishing an organizational culture where nurses are respected.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.117-133
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• 2021

This study aimed to identify its research trends using social network analysis(SNA). The results of the analysis showed that, for degree centrality, Busan Port(0.223) was the keyword that had the highest centrality, followed by DEA(0.060), AHP(0.056), and container terminal and port competitiveness(0.049). Busan Port(0.245) also had the highest betweenness centrality, followed by DEA(0.048), container terminal(0.044), AHP(0.039), and Busan New Port(0.032). The trend analysis inferred that efficiency analysis(DEA), strategy selection, and competition analysis(AHP) were the keywords with a high centrality for Busan Port to gain a competitive edge with global ports. However, research on the Fourth Industrial Revolution, which is emerging as a key issue, was insufficient. In the future, research using social data, such as mass media and social networks, is necessary.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.443-454
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• 2020

This study aims to develop one-stop support service for the ALS. To achieve the purpose, the cases of Korea and Japan were researched. The data used in the multiple-case study mainly referred to diaries, blogs, social networking sites, Youtube, and interviews of the disabled with ALS disease in Korea and Japan, and analyzed support services of both countries. The result of the study showed that, in the onset stage of ALS disease, a fellow counselor should be assigned by family member or person who experienced the disease from KALSA or other organizations to which a patient belongs. Also, it need a counseling by fellow counselor in the stage of softening disability. And after the gastrointestinal procedure, the number of home visits by visiting nurses should increase, and other services by OT and PT are required. In the stage of wearing a respirator, it needs to train and dispatch volunteers for ALS exclusive activities. And it is necessary to set up a family rest area or a respite service for the mentally and physically exhausted primary caregiver by long-term care. Most of all, these services should be one-stop support with linking step by step, not fragmentary support.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.29-45
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• 2022

This study aims to analyze how the public perceive the climate change in South Korea. The climate change has been highlighted due to its social and environmental impact on future society during decades. In recent, the outbreak of COVID-19 alerted the causal relationship between diseases and the climate change and forced decision-makers to cope with possible future epidemics. Along with the social and political importance of the climate change, the perception and actions of the public also become significant. Thus, this study analyzes the trends in the public perception of climate change before and after the COVID-19, using social media big data from March 1, 2019 through February 28, 2022. The results show that the negative perception dominated the public's perception, but a little positive perception implies that numerous policies on the climate change may help the public convert their negative perception to the positive. This study may help the decision-makers develop future policies and strategies on the climate change and carbon neutrality by considering the demand-side perception, such as South Korean perception.