International Journal of Internet, Broadcasting and Communication

  • 제12권4호
  • /
  • Pages.218-225
  • /
  • 2020
  • /
  • 2288-4920(pISSN)
  • /
  • 2288-4939(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
권호 표지
DOI QR코드

DOI QR Code

Design and Development of Big Data Platform based on IoT-based Children's Play Pattern Analysis

  • Jung, Seon-Jin (College of liberal and convergence, Honam University)
  • 투고 : 2020.10.12
  • 심사 : 2020.10.23
  • 발행 : 2020.11.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The purpose of this paper is to establish an IoT-based big data platform that can check the space and form analysis in various play cultures of children. Therefore, to this end, in order to understand the healthy play culture of children, we are going to build a big data platform that allows IoT and smart devices to work together to collect data. Therefore, the goal of this study is to develop a big data platform linked to IoT first in order to collect data related to observation of children's mobile movements. Using the developed big data platform, children's play culture can be checked anywhere through observation and intuitive UI design, quick information can be automatically collected and real-time feedback, data collected through repeaters can be aggregated and analyzed, and systematic database can be utilized in the form of big data.

키워드

참고문헌

  1. Seoul Metro City, https://golmok.seoul.go.kr/main.do
  2. W. L. Kang, H. G. Kim, and Y, J. Lee, "Reducing IO Cost in OLAP Query Processing with Map Reduce," IEICE Trans. Information. & System, Vol. E98-D, No. 2, pp. 444-447, Feb. 2015. https://doi.org/10.1587/transinf.2014EDL8143
  3. Hyeon Gyu Kim. "Developing a Big Data Analysis Platform for Small and Medium-Sized Enterprises," Journal of The Korea Society of Computer and Information, 25(8), pp.65-72, 2020. DOI: https://doi.org/10.9708/jksci.2020.25.08.065
  4. Shin Dong-jin, Hwang Seung-yeon, Lee Don-hee, Moon Jin-yong, Kim Jung-jun, "Analysis of Professional Baseball Data based on Big Data," Korean Internet Broadcasting and Telecommunications Association, Vol.20, No. 4, pp.177-185, 2020. DOI: 10.7236/JIIBC.2020.20.4.177
  5. Mun-Ki Kim, Hee-jung Choi, Sang-Lin Han. "Research Trends in Distribution Study by using Big-Data Analysis," Journal of channel and retailing, 25(3), pp.85-103, 2020.
  6. Jeongmyeong Lee, Hyesun Kim and Junho Choi. "A Study on User Experience Factors of Display-Type ArtificialIntelligence Speakers through Semantic Network Analysis: Focusing on Online Review Analysis of the Amazon Echo," The Journal of the Convergence on Culture Technology (JCCT), Vol. 5, No. 3, pp.9-23, 2019. DOI: https://dx.doi.org/10.17703/JCCT.2019.5.3.
  7. Mingoo Song. "Development of Big Data System for Energy Big Data." KIISE Transactions on Computing Practices 24(1), 24-32, 2018. https://doi.org/10.5626/KTCP.2018.24.1.24
  8. Seo-ha Jeong, Chang-hyun Kim, In-Jae Choi, Yeong-Jin Kim, Jin-suk Bang. "A Study on the Web Service-Based Platform for Pregnant Women Based on Big Data," The Korea Institute of Information and Communication Engineering, 24(1), 486-489, 2020.
  9. M. Song, "Development of Heat Demand Management System for District Heating based on Big Data Platform," Communications of the Korean Institute of Information Scientists and Engineers, pp. 31-33, 2017.
  10. https://cyberx.tistory.com/141