Name
Abstract | ||
|---|---|---|
a wildfire is a serious disaster to destroy an ecosystem and to lose a life of humans. A wildfire simulation can help to reduce damages by supporting a wildfire spread prediction. The existing wildfire simulations have a limitation for exactly predicting actual wildfire spreads because it is difficult and complex to preform simulating with reflecting dynamically changing environmental parameters. Therefore, this paper proposes a novel wildfire digital -twin framework using interactive wildfire spread simulator. The framework is designed to give a wildfire-twin including a wildfire simulator the sensing data gathered from oneM2M IoT server and make the digital twin wildfire prediction. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICUFN.2019.8806107 | 2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019) |
Keywords | Field | DocType |
interactive wildfire simulation, digital twin, internet of thing, data assimilation | Simulation,Computer science,Sensing data,Internet of Things,Data assimilation,Distributed computing | Conference |
ISSN | Citations | PageRank |
2165-8528 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyeong-su Kim | 1 | 1 | 1.06 |
| Jin-Woo Kwon | 2 | 0 | 0.34 |
| Seongjin Yun | 3 | 1 | 0.72 |
| Won Tae Kim | 4 | 61 | 12.27 |