• Journal of Information Technology Services
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• v.18 no.2
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• pp.123-141
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• 2019

The goal of this study is to review the major research trend on the convergence studies of AI and healthcare technologies. For the study, 15,260 English articles on AI and healthcare related topics were collected from Scopus for 55 years from 1963, and text mining techniques were conducted. As a result, seven key research topics were defined : "AI for Clinical Decision Support System (CDSS)", "AI for Medical Image", "Internet of Healthcare Things (IoHT)", "Big Data Analytics in Healthcare", "Medical Robotics", "Blockchain in Healthcare", and "Evidence Based Medicine (EBM)". The result of this study can be utilized to set up and develop the appropriate healthcare R&D strategies for the researchers and government. In this study, text mining techniques such as Text Analysis, Frequency Analysis, Topic Modeling on LDA (Latent Dirichlet Allocation), Word Cloud, and Ego Network Analysis were conducted.

• Journal of Information Technology Services
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• v.20 no.2
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• pp.77-90
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• 2021

Online and mobile games represent digital entertainment. Not only the game grows fast, but also it has been noted for unique business models such as a subscription revenue model and free-to-play with partial payment. But, a recent revenue mechanism, called a loot-box system, has been criticized due to overspending, weak protection to teenagers, and more over gambling-like features. Policy makers and research communities have counted on expert opinions, review boards, and temporal survey studies to build countermeasures to minimize negative effects of online and mobile games. In this process, speed was not seriously considered. In this study, we attempt to use a big data source to find a way of observing a trend for policy makers and researchers. Specifically, we tried to apply the Word2Vec data mining algorithm to news repositories. From the findings, we acknowledged that the suggested design would be effective in lightening issues timely and precisely. This study contributes to digital entertainment service communities by providing a practical method to follow up trends; thus, helping practitioners have concrete grounds for balancing public concerns and business purposes.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.72-75
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• 2016

스마트폰, 센서, 소셜미디어, 웹 서비스 등으로부터 발생되는 데이터의 폭증으로 인하여 빅데이터의 분석 및 활용에 대한 요구가 커져가고 있다. 특히 스마트 기기의 발달과 사용자 이용 패턴의 변화로 인하여 스트림 데이터는 끊임없이 발생되고 있지만, 기존의 하둡을 이용한 분석 시스템은 응답시간이 지연되어 빠르게 결과를 조회할 수 없는 단점으로 인하여 데이터를 실시간으로 분석하여 바로 활용할 수 있는 시스템에 대한 요구가 점점 더 증가하면서 람다 아키텍쳐가 등장하였다. 람다 아키텍쳐는 데이터 처리 과정을 배치 레이어와 스피트 레이어로 나누고, 스피드 레이어에서는 배치 결과가 나오기 전까지 스트림으로 유입되는 데이터를 실시간으로 분석하여 가장 최근의 데이터를 빠르게 조회 할 수 있도록 결과를 제공한다. 본 논문에서는 람다 아키텍쳐를 활용하여 연속적으로 유입되는 대용량의 스트림 데이터를 효과적으로 처리하여 실시간 분석과 동시에 배치 분석을 제공하는 데이터 처리 시스템을 설계하고 구현한다.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.7-13
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• 2019

As online shopping is activated by the development of the Internet, consumers' purchase form is changing from the traditional face-to-face purchase method to online purchase method. Many sellers have flowed into shopping malls, and competition among sellers is very intense. Therefore, sellers in shopping malls need to establish rational marketing strategies by analyzing consumer purchase patterns and product sales trends. In this paper, we analyzed the purchase price of consumers by analyzing the product price, rating, and sales quantity of competitors who sell the same product in open shopping malls by time zone. In addition, the collected information was visualized in a chart so that the company's and competitors' sales trends could be easily compared. Using the above system, it is possible to predict the sales volume through the analyzed purchasing pattern and to select the reasonable price of the product by grasping the sales trend.

• Electronics and Telecommunications Trends
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• v.29 no.2
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• pp.33-41
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• 2014

본고에서는 한국을 비롯하여 미국, 일본, 유럽의 최근 빅데이터 특허시장을 분석하였다. 분석결과 빅데이터 특허시장은 미국이 세계시장을 독과점하는 구조로 나타났다. 전 세계적으로 가장 활발한 특허 활동을 전개하고 있는 미국 특허를 대상으로 빅데이터 연구개발 트렌드를 조망해 보면 과거에는 다수 기업들에 의하여 많은 특허출원이 이루어지는 경향을 보였으나, 최근 들어 기존 기업들 간의 경쟁이 심화되면서 대기업 위주로 특허출원시장이 재편되어 가는 경향을 보이고 있다. 한편 과거에는 데이터 분석 및 처리기술에 많은 특허출원이 이루어졌으나 최근에는 데이터 운영 및 관리기술로 옮겨가는 것으로 조사되었으며, 특허출원 건수도 과거에 비하여 대폭 증가하고 있는 경향을 보이고 있다. 우리나라의 경우 실시간 처리기술, 저장기술, 표현기술은 상대적으로 높은 출원 점유율을 보이고 있으나, 데이터 수집 및 분석기술은 상대적으로 점유율이 낮게 나타나 관련 기술 강화를 위한 대책 마련이 시급한 것으로 조사되었다. 정부는 이를 위하여 데이터 사이언티스트 양성을 위한 정책적 지원을 확대할 필요가 있다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.203-212
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• 2019

Along with the recent fourth industrial revolution, the world's manufacturing powerhouses are pushing for national strategies to revive the sluggish manufacturing industry. Moon Jae-in, the government is in accordance with the trend, called 'advancement of science and technology is leading the fourth round of the Industrial Revolution' strategy. Intelligent information technology such as IoT, Cloud, Big Data, Mobile, and AI, which are key technologies that lead the fourth industrial revolution, is promoting the emergence of new industries such as robots and 3D printing and the smarting of existing major manufacturing industries. Advances in technologies such as smart factories have enabled IoT-based sensing technology to measure various data that could not be collected before, and data generated by each process has also exploded. Thus, this paper uses data generators to generate virtual data that can occur in smart factories, and uses them to analyze the cause of the defect in real time and to predict the replacement cycle of the facility.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.125-139
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• 2021

This study identifies the trend of Korean accounting researches on profit adjustment. We analyzed the abstract of accounting research articles published in Korean Citation Index (KCI) by using text mining technique. Among papers whose themes were profit adjustment, topics were divided into 4 parts: (i) Auditing and audit reports, (ii) corporate taxes and debt ratios, (iii) general management strategy of companies, and (iv) financial statements and accounting principles. Unlike the prediction that financial statements and accounting principles would be the main topic, auditing was analyzed as the most studied area. We analyzed topic trends based on the number of papers by topic, and could figure out the impact of K-IFRS introduction on profit adjustment research. By using Big Data method, this study enabled the division of research themes that have not been available in the past studies. This study enables the policy makers and business managers to learn about additional considerations in addition to accounting principles related to profit adjustment.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.371-382
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• 2017

This study aims to analyze the research trend of cultural policy-related papers based on 832 key words among 186 whole articles in the Journal of Cultural Policy by the Korea Culture & Tourism Institute from October 2008 to January 2017. The analysis was performed using a big data analysis technique called the Semantic Network Analysis. The Semantic Network Analysis consists of frequency analysis, density analysis, centrality analysis including degree centrality, betweenness centrality, and eigenvector centrality. Lastly, the study shows a figure visualizing the results of the centrality analysis through Netdraw program. The most frequently exposed key words were 'culture', 'cultural policy/administration', 'cultural industry/cultural content', 'policy', 'creative industry', in the order. The key word 'culture' was ranked as the first in all the analysis of degree centrality, betweenness centrality and eigenvector centrality, followed by 'policy' and 'cultural policy/administraion'. The key word 'cultural industry/cultural content' with very high frequency recorded high points in degree centrality and eigenvector centrality, but showed relatively low points in betweenness centrality.

• Journal of the Korean earth science society
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• v.42 no.1
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• pp.76-87
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• 2021

In this study, temporal trend of researches in earthquake with groundwater level, water quality, radon, remote sensing, electrical resistivity, gravity, and geomagnetism was searched from 2001 to 2020, using the journals indexed in Web of Science, and the number of articles published in international journals was counted in relation to the occurrences of earthquakes (≥Mw 5.0, ≥Mw 6.0, ≥Mw 7.0, ≥Mw 8.0, and ≥Mw 9.0). The number of articles shows an increasing trend over the studied period. This is explained by that studies on earthquake precursor and seismic monitoring becomes active in various fields with integrated data analysis through the development of remote sensing technology, progress of measurement equipment, and big data. According to Mann-Kendall and Sen's tests, gravity-related articles exhibit an increasing trend of 1.30 articles/yr, radon-related articles (0.60 articles/yr), groundwater-related articles (0.70 articles/yr), electrical resistivity-related articles (0.25 articles/yr), and remote-sensing-related articles (0.67 articles/yr). By cross-correlation analysis of the number of articles in each field with removing trend effect and the number of earthquakes of ≥Mw 5.0, ≥Mw 6.0, ≥Mw 7.0, ≥Mw 8.0, and ≥Mw 9.0, radon and remote sensing fields exhibit a high cross-correlation with a delay time of one year. In addition, large-scale earthquakes such as the 2004 and 2005 Sumatra earthquake, the 2008 Sichuan earthquake, the 2010 Haiti earthquake, and the 2010 Chile earthquake are estimated to be related with the increase in the number of articles in the corresponding periods.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.95-105
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• 2016

Recently the problem of child abuses has become a big social issue. According to national statistics data portal, the population under 19 years old is shrinking trend, but the number of child abuse is increasing day ever. However, the number of counseling after calling is a constant level without large fluctuations. Due to the seriousness of the problems, child abuse is even worse despite the research and countermeasures. This study designed a study model on the child abuse based on a preliminary study and suggested plans for reducing child abuse through the big data analytics. When we see a result of test of the hypothesis, abuse actor characteristics, characteristics of children, and employment type were analyzed to have a significant impact on child abuse. Based on such analysis, this research has suggested ways to reduce child abuse, including educational and economic support measures.