• Cartoon and Animation Studies
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• s.44
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• pp.285-306
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• 2016

With the increase use of smartphones, users can consume contents such as webtoon, webnovel and TV drama directly provided by the producers. In this Direct-to-Consumer era, webdrama services from the portal websites are increasing rapidly. Webdramas such as , , and can be analyzed in real time using responses such as unique users, likes, and comments. The analyses used in this research were Social Media Big Data Mining Method and Opinion Mining Method. Specific key words from webdrama can be extracted and viewers positive, neutral or negative emotion can be predicted from the words. The analyses of popular webdramas showed that the established K-Pop Idol member appearance and servicing portal site greatly influence the views, traffics, comments, and likes. Also, 'Mobile TV' proved the effectiveness as another platform other than television. Mobile targeted contents and robust business models still to be developed and identified. Overcoming these few tasks, Korea will be proven to be a webdrama content powerhouse.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.183-189
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• 2022

COVID-19 is also influencing the coffee industry. This will increase untact consumption, a new consumption trend. Consumption utilizing online channels and delivery service applications that represent untact consumption is becoming commonplace. The coffee industry is also increasingly using coffee shops with drive-through and smart ordering systems that can be ordered with minimal contact. While most of the untact services are preempted at franchise stores, many independent coffee shops still offer differentiated services by communicating directly with customers. However, along with the prolonged COVID-19 infection, coffee shops in the present era, which cannot be free from infectious diseases, have no choice but to worry about delivery services. Therefore, this study analyzed the factors that influence coffee delivery services. Research results due to the influence of COVID-19, regular delivery services have increased along with coffee delivery services. Regular delivery services will play a central role in coffee delivery services due to increased use of home cafes by consumers who want to enjoy coffee in various ways.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1207-1212
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• 2022

Realistic media, the next-generation media technology in the era of the 4th industrial revolution, is becoming an issue as a technology to experience through an environment that optimizes user experience, especially! It is rapidly developing into the health and healthcare convergence and complex fields. Realistic media technologies and services are being adopted to solve the problems of the increase in chronic diseases due to the increase in the elderly population and the lack of infrastructure and professional manpower in the fields of cognitive training and rehabilitation. Therefore, in this study, a cognitive training system was designed and implemented for the purpose of improving cognitive ability and daily life activity in subjects with mild cognitive impairment (MCI) who require cognitive rehabilitation. In the future, an integrated service platform with interactive communication and immediate feedback as an intelligent cognitive rehabilitation integrated platform based on AI and BigData is left as a research project.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.229-238
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• 2020

Upcoming 4th industrial revolution era and the post-covid19 made procedure, contents, and the ways of education innovative changes. Thesis analyzed the changes of educational procedures of universities unsing Bigkinds of 'KPF', (which is Korea Press Foundation) and DataLab system of 'Naver'. The following three results were derived from relational analysis, monthly keyword trend, and related word analysis with 633 cases searched for the keyword of "university curriculum innovation, creativity, and convergence." Firstly, the frequency of relationship keyword analysis of recent 4 years(2016~2020) was ministry of education(190), industrial revolution(154), system(137), career(136), global(131), smart(97), and enrolled students(95) in order. Secondly, The frequency of keywords related to the related words was Human Resources Development (136), Industrial-Academic Cooperation (119), Education Ministry (86), Specialization (69), and LiNC (62), which showed the importance of supporting the government (Ministry of Education) and fostering human resources, industry-academic cooperation, LiNC, and characterization in order to foster human resources in universities. According to this study, the paradigm of education is the artificial intelligence environment of the fourth industrial revolution, which is meaningful in presenting the direction of specialization, industry-academic cooperation, smart, and globalization, and the future direction of education that fosters creative talent in the era of the fourth industrial revolution.

• The Korean Journal of Archival Studies
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• no.71
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• pp.5-48
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• 2022

This study explored recent discussions, experiments, and case studies related to the appraisal of digital records, which was focused on datasets and websites. Based on this, it proposed what issues should be addressed for developing appraisal policies. To this end, it categorized appraisal criteria that can be applied to digital records, examined the arguments that in the digital environment total retention is necessary in the era of big data, and that selective retention is still necessary, based on the literature review. Subsequently, after analyzing case studies conducted on datasets and websites, the study dealt with what discussions should be made in terms of targets, tools, objectives of appraisal, and roles/responsibilities which used to develop appraisal policy. This study addressed the following questions to reveal current debates and challenges; First, what appraisal criteria can be applied to digital records in general; second, is the appraisal activities still necessary in the era of digital environment and big data; third, what are the results that case studies produced for the appraisal of digital records; fourth, what changes are expected in the future regarding the appraisal. Based on these questions, it tried to reveal the main issues necessary to develop the appraisal policies that can be applied to various types of digital records created in the public domain.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.141-154
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• 2022

In the data economy era, various policies are being implemented to create an active data distribution environment. In South Korea, the formation of a big data distribution platform and data trading began with the launch of the Financial Data Exchange under public data governance. In the case of major advanced countries in the data field, they have built a data distribution environment based on the data broker industry for decades and have strengthened national data competitiveness through added values generated from the industry. However, behind the active data distribution through data brokers, there are numerous information security issues, which have resulted in various privacy issues and national security threats. These problems can occur sufficiently in the process of domestic financial data exchange. In our study, we analyzed various information security issues of data trading caused by data brokers and derived information security requirements to be considered when trading data. We verified whether information security requirements are well reflected in the information security policy for each transaction stage of the domestic financial data exchange. Based on the verification, measurements to strengthen information security for financial data exchange are presented in our paper.

• Journal of Platform Technology
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• v.11 no.4
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• pp.19-34
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• 2023

In order to identify the trends and insights of 'startups' in the global era, we conducted an in-depth trend analysis of the global startup ecosystem using Google Trends, a big data analysis platform. For the validity of the analysis, we verified the correlation between the keywords 'startup' and 'global' through BIGKinds. We also conducted a network analysis based on the data extracted using Google Trends to determine the frequency of searches for the keyword or term 'startup'. The results showed a strong positive linear relationship between the keywords, indicating a statistically significant correlation (correlation coefficient: +0.8906). When exploring global startup trends using Google Trends, we found a terribly similar linear pattern of increasing and decreasing interest in each country over time, as shown in Figure 4. In particular, startup interest was low in the range of 35 to 76 from mid-2020 due to the COVID-19 pandemic, but there was a noticeable upward trend in startup interest after March 2022. In addition, we found that the interest in startups in each country except South Korea is very similar, and the related topics are startup company, technology, investment, funding, and keyword search terms such as best startup, tech, business, invest, health, and fintech are highly correlated.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.173-187
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• 2023

In an era of population decline, depopulated regions facing challenges in attracting inbound population migration must enhance urban vitality through the attraction of living populations. This study focuses on Busan, a city experiencing population decline, comparing the spatiotemporal distribution characteristics of registered residents and living populations in various administrative districts (Eup-Myeon-Dong) using mobile communication big data. Administrative districts are typified based on population change patterns, and regional characteristics are analyzed using indicators related to urban decline and vitality. Spatiotemporal distribution analysis reveals generally similar density patterns between registered residents and living populations; however, a distinctive feature is observed in the city center areas where the density of registered residents is low, while the density of living populations is high. Divergent trends in spatial patterns of change between registered residents and living populations show clusters of registered population decline in low-density areas and clusters of living population decline in high-density areas. Areas adjacent to declining living populations exhibit large clusters of population changes, indicating a spillover effect from high-density to neighboring areas. Typification results reveal that, even in areas with a decline in registered residents, there is active population influx due to commuting or visiting. These areas sustain an increase in the number of businesses, confirming the presence of industrial and economic growth. However, approximately 47% of administrative districts in Busan are experiencing a decline in both registered residents and living populations, indicating ongoing regional decline. Urgent measures are needed for enhancing urban vitality. The study emphasizes the necessity of utilizing living population data as an urban planning indicator, considering the increasing limit distance of urban activities and growing interregional interaction due to advancements in transportation and communication.

• Genomics & Informatics
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• v.10 no.2
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• pp.69-73
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• 2012

The explosive development of genomics technologies including microarrays and next generation sequencing (NGS) has provided comprehensive maps of cancer genomes, including the expression of mRNAs and microRNAs, DNA copy numbers, sequence variations, and epigenetic changes. These genome-wide profiles of the genetic aberrations could reveal the candidates for diagnostic and/or prognostic biomarkers as well as mechanistic insights into tumor development and progression. Recent efforts to establish the huge cancer genome compendium and integrative omics analyses, so-called "integromics", have extended our understanding on the cancer genome, showing its daunting complexity and heterogeneity. However, the challenges of the structured integration, sharing, and interpretation of the big omics data still remain to be resolved. Here, we review several issues raised in cancer omics data analysis, including NGS, focusing particularly on the study design and analysis strategies. This might be helpful to understand the current trends and strategies of the rapidly evolving cancer genomics research.

• Knowledge Management Research
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• v.20 no.2
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• pp.59-86
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• 2019

As the era of the 4th Industrial Revolution evolves, not only private companies but also government agencies and institutions in public sector are adopting cloud computing services converged by new information technologies such as IoT, big data, and artificial intelligence to strengthen competitiveness and create new business values. The purpose of this study is to investigate the relationship between innovation characteristics, innovation resistance, and acceptance of innovative technologies from the perspective of cloud computing services in the public sector. In this study, we collected the survey data from 190 employees of IT division in the public sector, and analyzed the causal relationship between innovation characteristics, technostress, innovation resistance, and intention to adopt the cloud computing service that they perceived. As a result of the analysis, we demonstrated that innovation characteristics, technostress have significant effect on innovation resistance and acceptance intention, and that top executive commitment and innovation resistance also have significant effect on acceptance intention. This study provides meaningful practical implications for the staffs preparing for adoption of cloud computing services and the executives who make the final decision in public sector.