Name
Title | ||
|---|---|---|
A Belief Rule Based Flood Risk Assessment Expert System using Real Time Sensor Data Streaming |
Abstract | ||
|---|---|---|
Among the various natural calamities, flood is considered one of the most catastrophic natural hazards, which has a significant impact on the socio-economic lifeline of a country. The Assessment of flood risks facilitates taking appropriate measures to reduce the consequences of flooding. The flood risk assessment requires Big data which are coming from different sources, such as sensors, social media, and organizations. However, these data sources contain various types of uncertainties because of the presence of incomplete and inaccurate information. This paper presents a Belief rule-based expert system (BRBES) which is developed in Big data platform to assess flood risk in real time. The system processes extremely large dataset by integrating BRBES with Apache Spark while a web-based interface has developed allowing the visualization of flood risk in real time. Since the integrated BRBES employs knowledge driven learning mechanism, it has been compared with other data-driven learning mechanisms to determine the reliability in assessing flood risk. The integrated BRBES produces reliable results in comparison to other data-driven approaches. Data for the expert system has been collected by considering different case study areas of Bangladesh to validate the system.. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LCNW.2018.8628607 | 2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN Workshops) |
Keywords | Field | DocType |
Belief Rule Base,Flood risk assessment,Uncertainty,Expert systems,Sensor data streaming,Big data | Rule-based system,Flood risk assessment,Spark (mathematics),Computer science,Expert system,Risk analysis (engineering),Risk management,Big data,Natural hazard,Flood myth,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-5098-1 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Afif Monrat | 1 | 0 | 0.34 |
| Raihan Ul Islam | 2 | 12 | 3.72 |
| Mohammad Shahadat Hossain | 3 | 32 | 12.25 |
| Karl Andersson | 4 | 80 | 22.20 |