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Singh, Satvir
- Evolutionary Performance of Graded Emigration in BBO for Yagi-Uda Antenna Design Optimization
Authors
1 Department of Electronics & Communication, Shaheed Bhagat Singh State Techncial Campus, Ferozepur, Punjab, IN
Source
Programmable Device Circuits and Systems, Vol 5, No 4 (2013), Pagination: 134-139Abstract
Biogeography Based Optimization (BBO) is one of the most popular swarm based optimization algorithms that has shown impressive performance over other Evolutionary Algorithms (EAs). A new algorithm is proposed in this paper by making migration variations in BBO, i.e., Graded Emigration Biogeography Based Optimization (GE-BBO) to improve the performance of BBO.Yagi-Uda is one of most widely antenna designs used at Very High Frequency (VHF) and Ultra High Frequency (UHF) due its high gain,low cost and constructional ease. Designing a Yagi-Uda antennainvolves determination of wire-element lengths and spacings in between them. Antenna geometry bear highly complex and nonlinear relationships with antenna gain, impedance and Single Lobe Level(SLL) at a particular frequency of operation. In this paper, a comparative study between BBO and GE-BBO is presented for faster optimization of antenna designs for maximum gain. The best antenna designs are tabulated and average of 10 monte-carlo simulations areplotted for these stochastic algorithms iterative performances in the ending sections.
Keywords
Yagi-Uda Antenna, Antenna Gain, BBO, GEBBO.- A Constrained Based Bi Level Histogram Equalization Method
Authors
1 CSE Department with Chandigarh Group of Colleges, Mohali, IN
2 CSIO, Chandigarh, IN
3 GNDEC, Ludhiana, IN
Source
Digital Image Processing, Vol 3, No 12 (2011), Pagination: 733-736Abstract
These days images are being captured by digital cameras and other systems. Though the quality of images taken by these systems has been improved up to high extend, but there are some artifacts do exists with images. Still images are required to be enhanced. This paper proposes a novel method Constrained BasedBased Histogram Equalization Method(CBBHE) for image contrast enhancement .CBBHE is the extension of Image Inversion and Bi-Level Histogram Equalization (IIBLHE) method. In the proposed method, an input image is divided into two sub images. Then the probability distribution functions of sub images are modified by introducing constraints. Experimental results are presented and compared with results from IIBHE method.
Keywords
Contrast Enhancement, Cumulative Density Function (CDF), Histogram, Histogram Equalization, Probability Density Function (PDF).- Technology for The Aid of Quadriplegics
Authors
1 ECE Department, CEC Landran, Mohali, IN
2 IT Department, CEC Landran, Mohali, IN