Disaster Impact Mitigation using KDD and Support Vector Machine algorithms
Journal Title: EAI Endorsed Transactions on Energy Web - Year 2018, Vol 5, Issue 18
Abstract
Disasters such as Hurricanes, Typhoons, Floods and earthquakesare not good for the society since it causes serious damage for the society. A natural disaster causes loss in property as well as in life of victims. The victims need immediate help once they are affected by the disaster. The immediate need are rescue, food and communications. The survey says victims of recent disaster were unable to get instant communication regarding the evacuation path and other help from authorities for remedial action. This can be overcome with our proposed idea of having a database of area wise population along with the pre-disaster and post-disaster satellite images of the disaster affected area. Knowledge Discovery in Databases (KDD) is used in data pre-processing and to extract knowledge from the database. Support vector machine(SVM) is used to classify the disaster effect with the pre-disaster and post-disaster satellite images as input. The idea is implemented and tested with sample data and has given impressive results
Authors and Affiliations
D. John Aravindhar, M. N. Sushmitha, K. Padmaveni
Keywords
Related Articles
- EP ID EP45362
- DOI http://dx.doi.org/10.4108/eai.12-6-2018.154812
- Views 257
- Downloads 0
Univariate Interpolation-based Modeling of Power and Performance
Performance and power scale non-linearly with device utilization, making characterization and prediction of energy efficiency at a given load level a challenging issue. A common approach to address this problem is the cr...
Distributed system of protection and diagnostics of support structural elements of high-voltage power lines
A distributed system of protection and diagnostics of support structural elements of high-voltage power lines (HVPL) on 500 kV voltage was developed at Karaganda State technical university: - current monitoring of leakag...
Analysis of the Energy-Performance Tradeoff for Delayed Mobile Offloading
Mobile cloud offloading that migrates heavy computation from mobile devices to powerful cloud servers through communication networks can alleviate the hardware limitations of mobile devices for higher performance and ene...
Implementation of Fuzzy Cognitive Map and Support Vector Machine for Classification of Oral Cancers
Objective: Tumors at any stage may progress into cancer. Till now, cancer classificationis a challenging task for the researchers. Research on the cancer biology starts with the changes in the tissues. Oral cancer is a m...
A Wearable Vibration Glove for Improving Hand Sensation in Persons with Spinal Cord Injury Using Passive Haptic Rehabilitation
We define Passive Haptic Rehabilitation (PHR) as an improvement in haptic sensations or abilities using methods which require little or no attention on the part of the user. We present a study that suggests improvement i...