BROWSE
Detail
Conference Paper
EDEN: Environmental Disasters Early-PerceptioN Platform Based on Big-Data and DBMS
Cited - time in 
Share 
Share
- Authors
- Hyunhak Kim, Hyeon Park, Daeheon Park, Taewook Heo, Eunju Lee, Sehan Kim, JeongGil Ko
- Issue Date
- 2015-01
- Citation
- International Conference on Platform Technology and Service (PlatCon) 2015, pp.212-213
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper introduces a software platform for the early perception of environmental disasters based on big-data analytics and DBMS. Specifically, our proposed system, EDEN, collects satellite images and sensor data with pre-processing and stores them in a distributed file system respectively. Our system analyzes them in order to track predefined indicators and indexes of disasters with various scientific algorithms. Furthermore, our big-data system computes these massive indicators and indexes with the help of DBMS processing arrays to efficiently perceive potential signs of disasters, and the results analyzed from both micro-and macroscopic perspectives is heavily tied with national-scale disaster alerts systems.
- KSP Keywords
- Data system, Distributed File system, Pre-processing, big data analytics, satellite images, scientific algorithms, sensor data, software platform