• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.3
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• pp.217-240
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• 2017

The purpose of this study was to investigate the semantic network analysis to understand image contents and to examine the degree to which words, word clusters contributed to the formation of semantic map within image contents. For this research, from 1993 until 2016 the field of the image contents were collected for a total of 2,624 cases papers. The word appeared in Title analyzed the social network by using the R program of Big Data. The results were as follows: First, The field of image contents is based on researches related to 'image', 'media' and 'contents'. Second, there is a three-step flow ('education' -> 'media' -> 'contents') of research in the field of image contents. Third, researches related to 'broadcasting', 'digital', 'technology', and 'production' were continuously carried out. Finally, There were new research subjects for each regime.

• Journal of TMJ Balancing Medicine
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• v.10 no.1
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• pp.12-20
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• 2020

Objectives: Tourette syndrome (TS) is a disease that occurs evenly in many social classes. Despite the long experience of drug treatment, the preference is low due to various side effects. The aim of this study was to discover herbal medicine resources through network pharmacology analysis predicted to be useful for Tourette syndrome. Methods: We used Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) to identify herbal medicines that can be used for TS by using network pharmacology research methods and to predict the mechanism of action. After evaluating compounds of each identified herb, molecular target proteins and mechanisms of action were analyzed, focusing on compounds that are likely to exhibit clinical activity in consideration of the pharmacokinetic parameters of these individual compounds. Results: Fifty nine ingredients such as atropine, veraguensin, and nuciferin among the compounds contained in 48 types of medicinal herbs such as Daturae Flos (洋金花), Salviae Radix (丹参), and Nelumbinis Plumula (蓮子心) act on the D(2) dopamine receptor, which is a protein involved in the development of TS. It has been found that atropine, veraguensin, and nuciferin are highly likely to exhibit activity by acting on the G protein-coupled receptor signaling pathway. Conclusions: It can be used in conjunction with non-invasive treatment means such as FCST Yinyang Balancing Appliance with herbal therapy to bring about a significant therapeutic effect, and it will be possible to develop a treatment that can replace drug therapy used in Western medicine.

• Journal of Home Health Care Nursing
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• v.29 no.3
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• pp.278-287
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• 2022

Purpose: To analyze Korean nurse-related channels and video titles on YouTube, the world's largest online video sharing and social media platform, to clarify public opinion and image of nurses. We seek utilization strategies and measures through current status analysis. Methods: Data is collected by crawling video information related to Korean nurses, and correlation is analyzed with frequent word analysis and keyword network analysis. Results: Through the YouTube algorithm, 2,273 videos of 'Nurse' were analyzed in order of recent views, relevance, and rating, and 2,912 videos searched for with the keyword 'Nurse + Hospital, COVID-19, Awareness, University, National Examination' were analyzed. Numerous videos were uploaded, and nursing work that was uploaded in the form of a vlog recorded a high number of views. Conclusion: We could see if the YouTube video shows images of nurses. It has been confirmed that various information is being exchanged rather than information just for promotional purposes.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.305-313
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• 2021

This study collected and analyzed big data from 1995 to 2020, focusing on the keywords "unwed mother", "single mother," and "single mom" to present appropriate government support policy directions according to changes in perspectives on unwed mothers. Big data collection platform Textom was used to collect data from portal search sites Naver and Daum and refine data. The final refined data were word frequency analysis, TF-IDF analysis, an N-gram analysis provided by Textom. In addition, Network analysis and CONCOR analysis were conducted through the UCINET6 program. As a result of the study, similar words appeared in word frequency analysis and TF-IDF analysis, but they differed by year. In the N-gram analysis, there were similarities in word appearance, but there were many differences in frequency and form of words appearing in series. As a result of CONCOR analysis, it was found that different clusters were formed by year. This study confirms the change in the perspective of unwed mothers through big data analysis, suggests the need for unwed mothers policies for various options for independent women, and policies that embrace pregnancy, childbirth, and parenting without discrimination within the new family form.

• Korean journal of communication and information
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• v.36
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• pp.109-132
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• 2006

It is difficult to found the concept of public interest properly, being ambiguous to distinguish media and service as to the convergence of broadcasting and telecommunications. Accordingly, it is necessary to found the concept of public interest not related to the character of media and service in the age of digital convergence. Therefore this study intended to re-found the concept of public interest, as to industrial changes in the age of convergence of broadcasting and telecommunications. The convergence of broadcasting and telecommunications causes the changes of value chain, which includes contents, platform, network, terminal. It could not help avoiding modifying the industrial structure of broadcasting and telecommunications, because of the changes of value chain. The changes of industrial structure needs the changes of ideology, regulatory policy, regulatory system, and it creates the foundation of new regulatory idea. The purpose of regulatory idea in the age of digital convergence is to practice public interest, and it is an ultimate purpose to increase consumers' welfare. Consequently, for increasing comsumer' welfare, it is necessary to achieve diversity, fairness, objectivity, the preservation of social value in the aspect of contents. Also in the aspect of platform, it is necessary to achieve the protection of privacy, consumer protection, harmful information blocking, and in the aspect of network, it is necessary to achieve the maintenance of secure network, fair competition. Finally, in the aspect of terminal, it is necessary to achieve the maintenance of compatibility, the solution for digital divide. Then regulatory policy of each value chain from a legal and institutional perspective, should be promoted to provide public interest, step by step.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.67-80
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• 2019

Augmented Reality (AR) is a crucial technology in the Fourth Industrial Revolution that can revolutionize the existing Information and Communication Technology (ICT) market and powerfully create a new market However, it is hard to find the clear answer for AD/PR strategies in the rapidly changing AR market. Thus this research explores the big picture of the AR industry as it pertains to Politics, Economy, Social, and Technology through in-depth interview with seven AR experts who are leading the domestic AR market. The research also analyzes the AR market's Strengths, Weaknesses, Opportunities, and Threats. Furthermore, it looks for strategies to vitalize the advertising and PR industry by analyzing the Contents, Platform, Network, and Devices of the AR ecosystem. The results of the research indicate a need for the government's strengthened policy of supporting the AR market, fostering of pace-setting killer contents, connecting services of several industries through AR platforms, strengthening the network of communication systems such as through 5G, and the commercialization and industrialization of domestic devices in order to vitalize the AR industry in its marketing and PR spheres. Therefore, this research suggests measures to revitalize the marketing and PR industries of the AR ecosystem, which has only recently gotten to its developing stage and provides an academic as well as practical foundation for future research in the field of AR.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.29-34
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• 2016

Nowadays, real-time devices that provide health care for a companion animal is being developed by IoT technology and its demand such as smart puppy tag is increasing. However, it is difficult for IoT devices of companion animals to process complex nature due to miniaturized hardware and constructive nature. There is a clear limit to custom advanced features like health care implementation. This paper designs an integrated platform with statistical analysis which makes it possible to customized services such as feed production, pharmaceutical production, and health care for each companion animal. Middleware that collects sensor information, customer's spending pattern and information from Social Network Service is also designed by making use of IoT devices which companion animals wear. Furthermore, the paper designed data analyzer which analyzes and refines data from collected information that can be applied to personalized services.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.139-156
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• 2017

Since the global financial crisis of 2008, the continuous development and innovation in technology-related fields such as information and communications technology (ICT) are likely to swim against the recession. In this paradoxical situation, the necessity of financial innovation through ICT is on the rise. For this reason, the appearance of Fintech is more meaningful as a new converged industry with the potential to lead financial innovation. The term of Fintech is derived from combining 'Finance' and 'Technology.' In South Korea, one of the most popular types of Fintech is mobile payment. KakaoPay, which is the first mobile easy payment service in Korea, is a much more simplified type of mobile payment service than ones used in the past, and is provided by the most popular mobile messenger service in Korea, KakaoTalk. However, KakaoPay has few active users in spite of its many advantages, which include convenience, simplicity, and a powerful platform. Thus, the main purpose of this paper is to investigate influencing factors of user resistance on KakaoPay. In order to investigate specific factors, a research model is developed based on the unified understanding of user resistance put forth by Laumer and Eckhardt (2012). After gathering online survey data from KakaoTalk users, an empirical analysis is conducted to verify this research model. The results of this study give insights regarding user resistance factors in the Fintech sector, and by so doing, it is expected that the important factors of user resistance could help the diffusion of new services when new mobile payment services appear in the near future.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.115-128
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• 2015

As generation of Web 2.0 comes in, enormous information of corporation from various platform are being produced. However, corporations should understand features of each platform and appropriate strategies in order to attract the public in the midst of such flood of information. Numerous studies have been conducted regarding SNS which has grown rapidly in recent but a study relating a specific medium is relatively in short. So this study analyzed how information of Instagram bulletin board is accepted in perspective of consumer in Korean and America, We examined the relationship between intention of acceptance and Word Of Mouth effect through meditating effect of information usefulness. To answer the research question, we conducted online survey with Korean and USA college students. The result showed that usefulness of the information was shown to the major intermediary variable between the information characteristics of bulletin board and the intention of acceptance intention and Word Of Mouth(WOM).

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.45-51
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• 2021

In accordance with the rapid non-face-to-face environment and mobile first strategy, the explosive increase and creation of many structured/unstructured data every year demands new decision making and services using big data in all fields. However, there have been few reference cases of using the Hadoop Ecosystem, which uses the rapidly increasing big data every year to collect and load big data into a standard platform that can be applied in a practical environment, and then store and process well-established big data in a relational database. Therefore, in this study, after collecting unstructured data searched by keywords from social network services based on Hadoop 2.0 through three virtual machine servers in the Spring Framework environment, the collected unstructured data is loaded into Hadoop Distributed File System and HBase based on the loaded unstructured data, it was designed and implemented to store standardized big data in a relational database using a morpheme analyzer. In the future, research on clustering and classification and analysis using machine learning using Hive or Mahout for deep data analysis should be continued.