Air Pollution Monitoring and Prediction System for Sustainable Metropolitan Cities using Iot
Creators
- 1. Professor & Associate Dean, Dept of Computer Science & Engineering,R. V College of Engineering, ,Mysore Road, Bengaluru, Karnataka, India
- 2. Research Scholar, Dept of Computer Science & Engineering,R. V College of Engineering, Mysore Road,Bengaluru, Karnataka, India,
- 3. Assistant Professor, Dept of Computer Science & Engineering, RNS Institute of Technology, Bengaluru, Karnataka, India,
Contributors
- 1. Publisher
Description
In today’s world, the temperature of the environment is gradually rising. One of the main reasons for it is decreasing the quality of air mainly caused due to air pollution. There are many harmful substances present in the environment that is the cause of the declining quality of air. These pollutants get mixed along with the air and pollute the environment. The two air pollutants are considered here, CO2 and NO, to reduce air pollution, there is a need to know the number of pollutants, with the help of sensors in this experiment the level of pollutants are to be monitored and based on that a prediction mechanism is developed to determine the level of pollutants in the future. There are some machine learning concepts involved, K means clustering for classification of pollutants along with the S.V.M. (Support Vector Machine). With the successful prediction of the level of pollutants, the necessary counter measures can be adaopted.
Files
C6215029320.pdf
Files
(501.0 kB)
Name | Size | Download all |
---|---|---|
md5:4bff7b909cdc5a0e4d7e9582c48e4c97
|
501.0 kB | Preview Download |
Additional details
Related works
- Is cited by
- Journal article: 2249-8958 (ISSN)
Subjects
- ISSN
- 2249-8958
- Retrieval Number
- C6215029320/2020©BEIESP