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Ray A.,Bp Poddar Institute Of Management And Technology | Ray A.,Maulana Abul Kalam Azad University of Technology | De D.,Maulana Abul Kalam Azad University of Technology
Simulation Modelling Practice and Theory | Year: 2016

In mobile wireless sensor network, coverage and energy conservation are two prime issues. Sensor movement is required to achieve high coverage. But sensor movement is one of the main factors of energy consumption in mobile wireless sensor network. Therefore, coverage and energy conservation are correlated issues and quite difficult to achieve at the same time. In this paper, these conflicting issues are considered, using one of the latest Bio-inspired algorithms, known as Glowworm Swarm Optimization algorithm. Considering the limited energy of sensors, this paper presents an Energy Efficient Multi-Parameter Reverse Glowworm Swarm Optimization (EEMRGSO) algorithm, to move the sensors in an energy efficient manner. Our proposed algorithm reduces redundant coverage area by moving the sensors from densely deployed areas to some predefined grid points. In this proposed algorithm, energy consumption is reduced by decreasing the number of moving sensors as well as the total distance traversed. Simulation results show that, our proposed EEMRGSO algorithm reduces total energy consumption utmost 60% compared to the existing approach based on Glowworm Swarm Optimization algorithm. At the same time, our proposed algorithm reduces the number of overlapped sensors significantly and achieves an effective coverage of 80-89% approximately. © 2016 Elsevier B.V. All rights reserved.

Sanyal N.,Bp Poddar Institute Of Management And Technology | Chatterjee A.,Jadavpur University | Munshi S.,Jadavpur University
Expert Systems with Applications | Year: 2011

In this paper an Adaptive Bacterial Foraging is proposed for fuzzy entropy optimization when it is applied to the segmentation of gray images. The proposed algorithm represents the improved version of classical bacterial foraging algorithm which is a newly developed stochastic optimization tool. This optimization technique is applied for optimization of the fitness function which is fuzzy entropy. Classical bacterial foraging algorithm is improved by adaptively selecting the exploitation and exploration state in chemotaxis of E.coli. bacteria. The newly developed algorithm is applied on benchmark gray images and proved to be suitable for thresholding based image segmentation. © 2011 Elsevier Ltd. All rights reserved.

Goswami R.,Bp Poddar Institute Of Management And Technology
AIP Conference Proceedings | Year: 2014

In the present work the measurement of the dc conductivity of graphite clay nanocomposite at low temperature has been undertaken. The resistivity curve can be fitted to a polynomial function with the temperature exponent varying from 0.5 - 1 for 63,50 and 40% graphite in clay. The activation energy has also been extracted for all three samples. The corresponding variation of resistivity with temperature and the variation in temperature exponent and activation energy proves that the composite behaves like a semiconductor and its semiconducting trend can be suitably modified with the change in graphite concentration. © 2014 AIP Publishing LLC.

Das K.,Bp Poddar Institute Of Management And Technology | Das K.,Kalyani University | De D.,Maulana Abul Kalam Azad University of Technology | De D.,University of Western Australia | De M.,Kalyani University
Micro and Nano Letters | Year: 2013

Quantum dot cellular automata (QCA) have become a strong alternative for nanoscale computing. After a decade of exhaustive research on binary QCA, the newly introduced ternary QCA (tQCA) for implementing ternary logic needs further research to actually fabricate the tQCA cell. In this Letter, a quantum mechanical approach is presented for calculating the diverse parameters required for the fabrication of the tQCA. The effect of quantum dot size, the size of tQCA cell as well as the effect of temperature on polarisation for the tQCA cell are examined. The significant result for fabrication of the tQCA cell is tunnelling resistance, which must be greater than the quantum Hall resistance, that is, Rt> 25.813 kΩ. The tQCA needs a quantum dot size which is < 6.36 nm to operate at room temperature and the distance of separation between two dots must be 5 nm. The steady-state behaviour of the tQCA cell using the Hubbard model and the Schrödinger timeindependent equation is also explored. © The Institution of Engineering and Technology 2013.

Mandal S.,Bp Poddar Institute Of Management And Technology | Ghosh A.,University of Calcutta
Optik | Year: 2012

We study the intensity point spread function (IPSF) of a uniaxial birefringent lens sandwiched between two linear polarizers under broadband illumination having flat-top spectral profile. The optic axis of the birefringent crystal is perpendicular to the lens axis. For monochromatic input illumination, a low-power birefringent lens offers enhanced resolution under parallel-polarizers configuration and apodization under crossed-polarizers configuration with a single focus as well. At a relatively high value of birefringence parameter, the proposed system behaves as a double-focus lens. The present communication uses a novel technique to study the effect of polychromatic illumination on the imaging characteristics of birefringent lenses. The studies reveal that the imaging characteristics of the low-power birefrigent lens does not deteriorate considerably under polychromatic illumination. However, for a polychromatic beam with large bandwidth, the imaging behavior of the system having high birefringence parameter deviates appreciably from that under strictly monochromatic illumination. The said system even loses its inherent bi-focal nature due to depolarization of polarized polychromatic light upon passage through the birefringent crystal. © 2011 Elsevier GmbH.

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