한국인공지능학회지 (Korean Journal of Artificial Intelligence)

한국인공지능학회 (Korea Artificial Intelligence Association)
권호 표지
DOI QR코드

DOI QR Code

Development of Dataset Items for Commercial Space Design Applying AI

  • Jung Hwa SEO (Department of Spatial Design, Seoul Institute of the Arts) ;
  • Segeun CHUN (Department of Spatial Design, Seoul Institute of the Arts) ;
  • Ki-Pyeong, KIM (Department of Logistics and Trade, Daejeon University)
  • 투고 : 2022.12.25
  • 심사 : 2023.03.20
  • 발행 : 2023.03.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, the purpose is to create a standard of AI training dataset type for commercial space design. As the market size of the field of space design continues to increase and the time spent increases indoors after COVID-19, interest in space is expanding throughout society. In addition, more and more consumers are getting used to the digital environment. Therefore, If you identify trends and preemptively propose the atmosphere and specifications that customers require quickly and easily, you can increase customer trust and conduct effective sales. As for the data set type, commercial districts were divided into a total of 8 categories, and images that could be processed were derived by refining 4,009,30MB JPG format images collected through web crawling. Then, by performing bounding and labeling operations, we developed a 'Dataset for AI Training' of 3,356 commercial space image data in CSV format with a size of 2.08MB. Through this study, elements of spatial images such as place type, space classification, and furniture can be extracted and used when developing AI algorithms, and it is expected that images requested by clients can be easily and quickly collected through spatial image input information.

키워드

참고문헌

  1. Batini, C., Cappiello, C., Francalanci, C., & Maurino, A. (2009). Methodologies for data quality assessment and improvement. ACM computing surveys (CSUR), 41(3), 1-52. https://doi.org/10.1145/1541880.1541883
  2. Hankyung (2022). It's the last minute from the login ... Older people are 'non-face-to-face stress'. Retrieved Auguest 30, 2022, from https://www.hankyung.com/society/article/2021031413121
  3. Kim, J., Woo, H., Yang, H., Kim, M., Kim, S., Lee, S., Kim, B., Kim, Y., Kwak, J., Choi, H., Jung, I., Lee, Y., & Lee, W. (2020). Information and standard curriculum proposals for the 2022 amendments. The Journal of Korean Association of Computer Education, 23(1), 1-28. DOI:10.32431/kace.2020.23.1.001
  4. Kim, J. Y. (2022). A Study on the Use of Technology as a Spatial Design Marketing Strategy. Journal of Korean Space Design Society, 17(1), 165-178.
  5. Kim, S. E., MUN J. H., KIM, K. S., & KANG, M. S. (2020). A Development of Healthcare Monitoring System Based on Internet of Things Effective, KJAI. 8(1), 1-6. https://doi.org/10.24225/KJAI.2020.8.1.1
  6. Kim, S. K., & Kim, T. Y. (2020). Study on Educational Standard Dataset Requirements for Artificial Intelligence Education. Dept. of Computer Education, Korea National University of Education, 25(2), 43-46.
  7. Kim S. W., CHOI D. J., Song Y. M., & Moon I. Y. (2022). Design and Implementation of Voice-based Interactive Service KIOSK. Journal of Practical Engineering Education,14(1), 99-108. https://doi.org/10.14702/JPEE.2022.099
  8. KMAC (2019. 2). Sell value, electric style rather than goods or services! Retrieved October 20, 2022, from https://m.blog.naver.com/kmacforever/221479774108
  9. Lee, M. N., Park, H. K., Oh, C. O., Baik, J. W., & Kim, S. T. (2019). A Meta Analysis on Domestic Research Trends of Healthcare Design in Spatial Design Field. KISD, 14(7), 37-50. Doi: www.kisd.or.kr/10.35216/kisd.2019.14.7.37
  10. HWANG, J. Y. (2020). Re: Store. Seoul: Influential.
  11. Lee, J. Y., Shin, S. J., Yoon, S. H., & Kim, T. Y. (2022). Survey on Artificial Intelligence & Machine Learning Models and Datasets for Network Intelligence. The Journal of Korean Institute of Communications and Information Sciences, 47(4), 625-643. https://doi.org/10.7840/kics.2022.47.4.625
  12. HE, Y. G. (2019). The Effect of Artificial Intelligence on Economic Growth: Evidence from Cross-Province Panel Data. Korean Journal of Artificial Intelligence, 7(2), pp. 9-12. https://doi.org/10.24225/kjai.2019.7.2.9
  13. HONG, J. Y., & KIM, Y. S. (2020). Development of an AI data science education program to foster data literacy in elementary school students. Journal of Information Education Society, 24(6), 633-641.
  14. Lee, W. R, CHOI, J.W., CHOI, J. H., & KANG M. S. (2022). Research related to the development of an age-friendly convergence system using AI. Korean Journal of Artificial Intelligence, 10(2), 1-6.
  15. Pipino, L. L, Lee, Y. W., & Wang, R. Y. (2002). Data quality assessment. Communications of the ACM, 45(4), 211-218. https://doi.org/10.1145/505248.506010
  16. Son, W. (2020). Development of SW education class plan using artificial intelligence education platform : focusing on upper grade of elementary school. Journal of The Korean Association of Information Education. 24(5), 453-462. DOI:10.14352/jkaie.2020.24.5.453
  17. Statistics Korea (2019). Retrieved October 15, 2022, from https://kostat.go.kr/unifSearch/search.es
  18. Sudiatmika, I., & Ariantini, M. S. (2021). Digital Marketing Chatbot Using API Dialog Flow Case Studi ITB Stikom Bali, Jimbaran Campus. Retrieved October 20, 2022, from https://www.researchgate.net/scientific-contributions/MadeSuci-Ariantini-2167036810
  19. Yonhapnews (2021). The digital signage market grows... Growth 23% this year over Corona. Retrieved October 27, 2022, from https://www.yna.co.kr/view/AKR20210511013200003