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The limited availability of channel resources offers a bottleneck on the allocation of channels to subscribers in wirelesss mobile communication systems. This paper provides a novel technique for dynamic channel assignment in mobile cellular networks by constructing a suitable objective function, the optimization of which yields a solution to the problem.(More)
Generating inferences from a gene regulatory network is important to understand the fundamental cellular processes, involving gene functions, and their relations. The availability of time-series gene expression data makes it possible to investigate the gene activities of the whole genomes. Under this framework, gene interaction is explained through a(More)
The present work proposes an artificial system capable of preventing Computer Vision Syndrome from the analysis of eye movements. Ocular data is recorded using an Electrooculogram signal acquisition system developed in the laboratory. Wavelet detail coefficients obtained using Haar and Daubechies order 4 mother wavelets are used as signal features. From the(More)
—Particle swarm optimization (PSO) is extensively used for real parameter optimization in diverse fields of study. This paper describes an application of PSO to the problem of designing a fractional-order proportional-integral-derivative (PI λ D δ) controller whose parameters comprise proportionality constant, integral constant, derivative constant,(More)
This paper aims at laying a foundation towards the development of a robust platform for efficient control of the motion of autonomous mobile robots. Electroencephalographic (EEG) signals liberated during motor imagery of a human controller have been used to design the control mechanism. The proposed scheme can find widespread applications in the defense(More)
Human computer interfacing (HCI) technology has emerged as a new pathway towards the improvement of different rehabilitative aids. In this paper, new approach to control the motorized human computer interface using electrooculogram (EOG) is proposed. A mobility interface controlled by eye movements has been developed to help the disabled individuals with(More)
The present work provides a new approach to solve the well-known multi-robot co-operative box pushing problem as a multi objective optimization problem using modified Multi-objective Particle Swarm Optimization. The method proposed here allows both turning and translation of the box, during shift to a desired goal position. We have employed local planning(More)