Analysis of Urban Air Quality using Digital Image Processing
Priya Perera
ETH Zurich
Saiful Mondal
The University of Manchester
Abstract
There is a pressing need for low-cost, locally appropriate solutions to urban air quality in wireless communication systems. A suitable control strategy was designed using digital image processing and evaluated in detailed numerical simulation. The proposed algorithm converged reliably within 5 iterations for every case that was tested. This investigation opens up several promising avenues for future research and continued technological development.
Keywords:
urban air qualitydigital image processingdistributed generationofdmseismic analysisflexible pavement
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