Manish Gupta

Manish Gupta
GLA University · Department of Electronics & Communications

Doctor of Philosophy

About

6
Publications
169
Reads
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7
Citations
Citations since 2016
6 Research Items
7 Citations
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2016201720182019202020212022012345

Publications

Publications (6)
Chapter
Glaucoma is one of the most reported eye diseases which lead to complete blindness, if not treated early. Glaucoma normally associated with intraocular pressure (IOP) which gradually damages the vision field of eye. Glaucoma is an alarming threat to global health problem as it causes irreversible blindness. Evidence of glaucoma indicates that the p...
Chapter
This paper deals with the design challenge of low power LNA. As the biasing voltage is reduced, there is degradation in transit gain, efficiency, and operating frequency. Therefore, an optimized biasing metric has been introduced, depicted the tradeoff between power consumption and above specified parameters. In the last decay, many scholars optimi...
Chapter
In the recent times, the automobile vehicle equipped with the advance technology and luxuries is nevertheless the driver who violates the traffic rules intentionally or unintentionally ignoring the traffic lights. In this scenario, there is a need of up gradation in the conventional traffic management system to make it vehicle assisted by using the...
Chapter
Most of the existing switching control for the street light system is manual and needs human intervention. There is a massive waste of electricity due to poor handling of the operator and also due to street light remain functioning all night. This paper proposes a novel intelligent street light system using ARM cortex M0+ processor. In this propose...
Article
This article demonstrates a Chebyshev Neural Network (CNN) based sliding mode controller for uncertain nonlinear systems. The uncertainties in the system are classified as mismatched parametric uncertainties and unknown nonlinearities which are bounded in nature. This article, exploited the novelty of CNN that it requires a less computational time...

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