Umair Ali Khan

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Dynamic power management (DPM) refers to strategies which selectively change the operational states of a device during runtime to reduce the power consumption based on the past usage pattern, the current workload, and the given performance constraint. The power management problem becomes more challenging when the workload exhibits nonstationary behavior(More)
−− In this paper, a systematic discussion of both pros and cons of two well-known traditional approaches for image contrast enhancement is conducted. The first approach is based on the CNN paradigm and the second one is based on the coupled nonlinear oscillators' paradigm for image processing. In the later case an extensive bifurcation analysis is carried(More)
A simulator is developed for training and optimizing the templates for cellular neural networks for obstacle detection. The simulator uses the Genetic Algorithm (GA) for training the cellular neural network. The traditional method of genetic algorithm involves creating an initial population of random solutions (chromosomes) in binary format, the so called(More)
— Setting analog cellular computers based on cellular neural networks systems (CNNs) to change the way analog signals are processed is a revolutionary idea and a proof as well of the high importance devoted to the analog simulation methods. We provide an in-depth description of the concept exploiting analog computing based on the CNN paradigm to solve(More)
— This research paper presents a system for vehicles collision avoidance using zigbee sensors. The system developed provides timely safety information for drivers who do not have any idea of happening collision. This system calculates the distance covered by vehicle from the moment brakes are applied till it stops and the time taken by it, at variable(More)