Filters for Electromagnetic Compatibility Applications
project.pptx
1. Existing system:
•Many studies have been proposed in past decade but they fail to
predict the Air quality accurately and on per day basis.
Propose system:
•We propose a semantic ETLframework on cloud platform for AQ
prediction.
•In the platform, we make use ontology to specify the
relationship of PM 2.5 from various data sources and to merge
those data with the same concept but different naming into the
unified database.
•We implement the ETL framework on the cloud platform, which
includes computing nodes and storage nodes.
2. Due to the increasing number of new vehicles
joining the street the predictions fail to
consider the rate at which new vehicles are
being purchased as the value changes
dramatically.
As the data with which the model is being
trained is of past 4 years which had large
number of diesel vehicles. In near future the
car manufacturers are completely banning
the production and moving to petrol based
cars.
