과제정보
본 연구는 산업통상자원부(MOTIE)의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구입니다. (No.20202020900170)
참고문헌
- S. H. Moon, "Big Data Platform Construction and Application for Smart City Development," The journal of the convergence on culture technology, vol. 6, no. 2, pp. 529-534, May 2020.. DOI: https://doi.org/10.17703/JCCT.2020.6.2.529
- Chae-Young Lim, Chae-Eun Yeo, Hyung-Ah Lee, Sung-Yul An, Jae-Hoi Gu.(2022).Design and Implementation of IoE System for Energy Consumption Platforms.Proceedings of Symposium of the Korean Institute of communications and Information Sciences,(),449-450.
- Kim, C. W., Kim, J., Kim, S. M., & Hwang, H. T. (2015). Technological trends and case studies of factory energy management systems (FEMS) for energy saving in manufacturing industries. Equipment Journal, 44(1), 22-27.
- Gi-Seok Lee and Sang-Hyun Lee. "A Study on Real-time Detection Using Odor Data Based on Mixed Neural Network of CNN and LSTM" The International Journal of Advanced Culture Technology 11, no.1 (2023) : 325-331.
- Matsunobu, Yoshinori, Siying Dong, and Herman Lee. "MyRocks: LSM-tree database storage engine serving facebook's social graph." Proceedings of the VLDB Endowment 13.12 (2020): 3217-3230. DOI: https://dl.acm.org/doi/10.14778/3415478.3415546
- MariaDB, "InnoDB", https://mariadb.com/kb/en/innodb/
- Raspberry PI 4 model B, "Raspberry PI 4 model B", https://www.raspberrypi.com/products/raspberry-pi-4-model-b/?variant=raspberry-pi-4-model-b-8gb