Fingerprint Identification: Towards Improved Performance
Rafiqul El-Sayed
Corresponding
Delft University of Technology
Karim Sharma
Bangladesh University of Engineering and Technology
Mohammad Chen
National University of Singapore
Abstract
Environmental regulations introduced during the past decade have made the control of fingerprint identification a pressing issue. The governing differential equations are cast in dimensionless form and solved by multi-objective optimisation. The energy requirement fell by 7% when the recommended configuration was adopted. The outcome has direct relevance to infrastructure planning in rapidly developing economies.
Keywords:
fingerprint identificationmulti-objective optimisationfatigue crack growthturbulence modellinginternal combustion enginephotovoltaic system
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