Radiant Institute of Engineering and Technology

Abohar, India

Radiant Institute of Engineering and Technology

Abohar, India
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Singh U.,Guru Nanak Institutions | Kamal T.S.,Radiant Institute of Engineering and Technology
Progress In Electromagnetics Research M | Year: 2012

Thinning of large arrays in order to produce low side lobes is a diffcult task. Conventional gradient methods often stuck in local minima and hence are not capable of obtaining optimum solutions. As a result, global optimization methods are required to thin large antenna arrays. In this paper, a global evolutionary method, Biogeography Based Optimization (BBO) is introduced as a new tool for thinning large linear and planar antenna arrays of uniformly excited isotropic antennas. The aim is to synthesize linear arrays so as to yield the maximum relative sidelobe level equal to or below a desired level while also keeping the percentage of thinning equal to or above the desired level. The results obtained by BBO are compared with the previous published results of Genetic Algorithm (GA), Ant Colony Optimization (ACO), Immunity Genetic Algorithm (IGA) and Binary Particle Swarm Optimization (BPSO).


Singh P.,Punjab Technical University | Sharma A.K.,National Institute of Technology Tiruchirappalli | Kamal T.S.,Radiant Institute of Engineering and Technology
Optik | Year: 2016

Mobility-induced route failures necessitate to overcome, to provide effective internet access along with optimum QoS. Accordingly, MANET network needs to be investigated scrupulously amid assorted ad hoc protocols. The present paper uses Adaptive Neuro-Fuzzy Inference System (ANFIS) technique to model and simulate VoIP routed MANET scenarios at diverse routing at optimum mobility variation range of [0.6-1.4] m/s (Sharma et al., 2012 Third International Conference on Advanced Computing & Communication Technologies, IEEE, 2013, 261). The model combined modeling function of fuzzy inference with the learning ability of artificial neural network. © 2015 Elsevier GmbH. All rights reserved.


Sivia J.S.,Punjabi University | Pharwaha A.P.S.,Sant Longowal Institute of Engineering And Technology | Kamal T.S.,Radiant Institute of Engineering and Technology
Progress In Electromagnetics Research B | Year: 2013

A Neural Network is a simplified mathematical model based on Biological Neural Network, which can be considered as an extension of conventional data processing technique. In this paper, an Artificial Neural Network (ANN) based simple approach is proposed as forward side for the design of a Circular Fractal Antenna (CFA) and analysis as reverse side of problem. Proposed antenna is simulated up to 2nd iteration using method of moment based IE3D software. Antenna is fabricated on Roger RT 5880 Duroid substrate (High frequency material) for validation of simulated, measured and ANN results. The main advantage of using ANN is that a properly trained neural network completely bypasses the complex iterative process for the design and analysis of this antenna. Results obtained by using artificial neural networks are in accordance with the simulated and measured results.


Sivia J.S.,Punjabi University | Pharwaha A.P.S.,Sant Longowal Institute of Engineering And Technology | Kamal T.S.,Radiant Institute of Engineering and Technology
Procedia Computer Science | Year: 2016

Neurocomputational models eliminates the complex, lengthy and time consuming mathematical procedures for design, analysis and calculating performance parameters of Microstrip antenna. No single ANN based model has been proposed till date for calculating all parameters of circular microstrip antennas simultaneously. This paper presents a Neuro-Computational (NC) approach for estimation of all performance parameters such as Return Loss (RL), Voltage Standing Wave Ratio (VSWR), resonant frequency (fr), Band-Width (BW), Gain(G), Directivity(D) and antenna efficiency(η) of Circular Microstrip Patch Antenna (CMPA) simultaneously. The difficulty in calculating the parameters of these antennas lies due to the involvement of a large number of physical parameters including their associated optimal values. It is indeed very difficult to formulate an exact numerical solution merely on practical observations based empirical studies. In order to circumvent this problem, an alternative solution is achieved using artificial neural network (ANN). Feed-Forward Back-Propagation Artificial Neural Network (FFBP-ANN) trained with Levenberg-Marquardt algorithm is used for estimation of different performance parameters of CMPA. The results of NC estimation are in very agreement with simulated, measured and theoretical results. © 2016 The Authors. Published by Elsevier B.V.


Bhatia K.S.,Rayat Bahra Institute of Engineering and Nano Technology | Kamal T.S.,Radiant Institute of Engineering and Technology
Lasers in Engineering | Year: 2013

Optical orthogonal frequency-division multiplexing (OOFDM) has recently been proposed and the proof-of-concept transmission experiments have shown its extreme robustness against chromatic dispersion and polarization mode dispersion. In this paper Signal pre-distortion method is proposed to mitigate nonlinear effect from vertical-cavity surface-emitting laser (VCSEL) optical system. We then evaluate the value of relative intensity to noise (RIN) for its optimum performance. © 2013 Old City Publishing, Inc.


Bhatia K.S.,Sri Guru Granth Sahib World University | Kaler R.S.,Thapar University | Kamal T.S.,Radiant Institute of Engineering and Technology
Journal of Russian Laser Research | Year: 2012

With the aim of designing long-haul, back-to-back, and amplitude-phase-modulated optical OFDM systems, we carry out a simulative analysis for averaging the optimum value of the relative intensityto- noise ratio (RIN). We find that for single-mode lasers a bias of 2 mA has the highest spurious-free dynamic range (SFDR) and low RIN, and for multimode lasers, a bias of 6 mA has the highest SFDR and low RIN. © 2012 Springer Science+Business Media New York.


Singh Bhatia E.K.,Sri Guru Granth Sahib World University | Kamal T.S.,Radiant Institute of Engineering and Technology | Kaler R.S.,Thapar University
IET Optoelectronics | Year: 2012

A new coding scheme is proposed using a variable rate for an all-optical sampling orthogonal frequency-division multiplexing system, to minimise the peak-to-average power ratio. cyclic rotation and code rate variation are shown to improve the peak envelope power. the proposed idea comprises of searching for a variable code rate selection for the binary input data and cyclic rotation, followed by codeword inversion. © The Institution of Engineering and Technology 2012.


Kaur S.,Thapar University | Kaler R.-S.,Thapar University | Kamal T.-S.,Radiant Institute of Engineering and Technology
Journal of the Optical Society of Korea | Year: 2015

We propose a new and potentially integrable scheme for the realization of an all-optical binary full adder employing two XOR gates, two AND gates, and one OR gate. The XOR gate is realized using a Mach-Zehnder interferometer (MZI) based on a semiconductor optical amplifier (SOA). The AND and OR gates are based on the nonlinear properties of a semiconductor optical amplifier. The proposed scheme is driven by two input data streams and a carry bit from the previous less-significant bit order position. In our proposed design, we achieve extinction ratios for Sum and Carry output signals of 10 dB and 12 dB respectively. Successful operation of the system is demonstrated at 10 Gb/s with return-to-zero modulated signals. © 2015, Optical Society of Korea. All rights reseved.


Jigyasa S.,Radiant Institute of Engineering and Technology
Research Journal of Chemistry and Environment | Year: 2011

Jodhpur is centrally located in the desert region of Western Rajasthan between 25° 51′ to 27°31′ north latitude and 71°48′ to 78°52′ east longitude. The main source of water supply to this historic city is from Jawai dam, tube well of Pal road along with water received from Indira Gandhi canal and Kailana lake. These sources meet about 93% of total requirement and the balance is catered by locally available water resource viz open wells, water reservoirs (baori, ponds and lakes) and hand pumps. In Arid regions, groundwater is very crucial source of water supply for industries, irrigation and for drinking purposes. To ensure a sustainable access and distribution of potable water will become a challenge with growing population. About 120 samples were analyzed to study trend in spatial distribution of various chemical parameters affecting water quality ' of study area in pre-monsoon and post-monsoon period.

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