• Title/Summary/Keyword: Big data Era

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A Study on Analysis of the Differences for Perception of Big Data in Era of Convergence (융합시대 빅데이터 인식 차이 분석에 관한 연구)

  • Noh, Kyoo-Sung;Lee, Joo-Yeoun
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.305-312
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    • 2015
  • In Korea, institutions and universities to educate and train Bigdata manpower are not yet much. There are various causes, but major cause among them is lack of understanding and perception on Bigdata. Therefore, this study investigated the situation regarding the recognition on Bigdata of universities' faculties and presented a direction for educating Bigdata manpower at the university. As a result, it was investigated that their awareness about the impact of Bigdata is not so great, despite of the somewhat understanding for the Bigdata. In particular, it was investigated that their intentions of research and education for Bigdata are not high. So, for a while, it was identified that Bigdata specialist training will not be easy. In conclusion, this study suggested that the government should pay its attention more on policy for Bigdata manpower training policy of the universities according to direction of the government 3.0 policy that considers the Bigdata to the axis of the major policy.

Quality Strategy in the Age of the 4th Industrial Revolution by Technological Evolution (기술 발전에 따른 4차 산업혁명 시대의 품질 전략)

  • Chong, Hye Ran;Hong, Sung Hoon;Lee, Min Koo;Kwon, Hyuck Moo
    • Journal of Korean Society for Quality Management
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    • v.46 no.3
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    • pp.483-496
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    • 2018
  • Purpose: This paper proposes a quality strategy based on the evolution of technology in the age of the 4th Industrial Revolution. Methods: We examine the theory of past quality activities and the changes in quality paradigm, and analyze key words for the technologies and key issues of the 4th Industrial Revolution. Based on existing quality management, we find a quality strategy that should be pursued during the 4th Industrial Revolution. Results: Quality has been recognized as an essential component of corporate competitiveness. The paradigm of quality has also changed with the pass of time and industry development. From this viewpoint, the following eight quality strategies are proposed for the development of the technology of the 4th Industrial Revolution period, such as Market-to-customer fusion quality, symbiotic quality, big data quality, technical accuracy and zero-defect quality, facility predictability quality, software quality, process flexibility quality, and information protection stability and security quality. Conclusion: Quality for customer satisfaction is still important nowadays. However, in the 4th Industrial Revolution era, where various business models and methods of manufacturing are expected, the big data utilization, software quality, and the reliability and security of information protection to support it are important.

An Exploratory Study on the Management Framework of Social Media as Knowledge Creation Platform (지식 창조 플랫폼으로서의 소셜미디어 관리모델 설계를 위한 탐색 연구)

  • Kim, Sang Wook
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.7
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    • pp.149-158
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    • 2012
  • Much attention is being paid to social media because of their potentials to draw collective intelligence. In this context does this study attempt to draw some implications of social media as knowledge creation platform and suggest a conceptual framework of social media management. Information sharing among the public through social media literally produces profound influence throughout the society and thus not only business firms but all levels of public institutions, including government are seeking to take its advantage for various purposes such as public relations, crowd sourcing, etc. Especially considering that social media open the possibility of social knowledge creation platform in the Big Data era, this study is perhaps able to contribute to further development of social media management model together with a series of measuring indexes.

Webdrama Analysis and Recommendation using Text Mining and Opinion Mining Technique of Social Media (소셜미디어 빅데이터의 텍스트 마이닝과 오피니언 마이닝 기법을 활용한 웹드라마 분석과 제안)

  • Oh, Se-Jong;Kim, Kenneth Chi Ho
    • 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.

Expansion of coffee shop untact service and research on delivery service - Focusing on coffee delivery keywords that utilize big data - (언택트 서비스 증가와 커피전문점 배달서비스 연구 - 빅 데이터를 활용한 커피배달 키워드 중심으로 -)

  • Lim, Miri;Ryu, Gihwan
    • 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.

Cognitive Training Protocol Design and System Implementation using AR (증강현실을 이용한 인지훈련 프로토콜 설계 및 시스템 구현)

  • Cheol-Seung, Lee;Kuk-Se, Kim
    • 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.

The Direction of Innovation in Curriculum of Universities in the Fourth Industrial Revolution

  • Hwang, Eui-Chul
    • 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.

Research Trends and Issues of Appraisal of Digital Records : Focused on Datasets and Websites (전자기록 평가의 동향과 과제 데이터세트와 웹사이트 평가를 중심으로)

  • Hyun, Moonsoo
    • 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.

Reinforcing Financial Data Exchange Security Policy with Information Security Issues of Data Broker (금융데이터거래 정보보호 강화방안: 데이터브로커 보안이슈를 중심으로)

  • Kim, Su-bong;Kwon, Hun-yeong
    • 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.

Analyzing Global Startup Trends Using Google Trends Keyword Big Data Analysis: 2017~2022 (Google Trends 의 키워드 빅데이터 분석을 활용한 글로벌 스타트업 트렌드 분석: 2017~2022 )

  • Jaeeog Kim;Byunghoon Jeon
    • 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.

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