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Meerut, India

Hyma Lakshmi T.V.,S R K R Engineering College | Madhu T.,SIET | Srikavya K.C.,Koneru Lakshmaiah College of Engineering
International Journal of Applied Engineering Research | Year: 2015

High resolution satellite images are of significant importance in many fields of research and its enhancement is an active research area. Among various techniques used for image resolution enhancement Wavelet based techniques have been found to be very efficient. Discrete Wavelet Transform (DWT) is mostly used in image decomposition stage but suffers from shift variance. In this work Non-Decimated Wavelet Transform (NDWT) which is shift invariant is investigated. Instead of Bicubic interpolation Gaussian Mixture Model (GMM) which is a parametric probability density function represented as a weighted sum of Gaussian component densities is used instead of weighted sum of neighborhood pixels used by bicubic and bilinear interpolations. The proposed technique showed improved Peak Signal to Noise Ratio (PSNR) and Quality Index. © Research India Publications.

Kumar D.,BIT | Singh T.,SIET | Dwivedi R.,BIT | Verma S.,BIT
Proceedings - 4th International Conference on Computational Intelligence and Communication Networks, CICN 2012 | Year: 2012

This paper presents the design of compact CPW-FED Dual band notched UWB square ring antenna. The main objective of this proposed research work is to reduce the size of antenna and avoid interference between UWB and WLAN (5.5GHz) and WiMax (3.4 GHz) application. The antenna consists of a square-ring metal patch and 50O coplanar wave guide (CPW) strip with dimension of 35x31 mm2. The antenna is then modified to possess dual band rejection by etching two symmetrical slots in the ground plane nearby the feed line and rectangular split ring slot in the square-ring radiating patch. The geometry parameters of antenna are investigated and optimized with HFSS. The result show that the proposed antenna achieves an impedance bandwidth of 3.1-10.6GHz with VSWR<2, except in the band of 4.8 - 6.2 GHz and 3.2-3.6GHz with an omnidirectional radiation pattern. © 2012 IEEE.

Singh N.,SIET
Advances in Intelligent Systems and Computing | Year: 2015

As the software size grows, the maintenance become challenging. To make it easier, there is a need to measure some quality parameters in earlier phases of software development. Understandability has a major contribution to control the maintainability. Coupling and cohesion are two well-accepted parameters to measure the software quality parameters. In this paper, a model is proposed to measure the understandability that is based on coupling and cohesion. © Springer India 2015.

Ramesh Raju N.,SIET | Linga Reddy P.,Koneru Lakshmaiah College of Engineering
International Journal of Engineering and Technology | Year: 2015

PID controller is mostly used in process plants to control the system performance by properly choosing its parameters. The optimum PID parameters can be obtained in offline using genetic algorithm if the mathematical model of the system is exactly known. In all process plants the process parameters such as properties of materials like thermal conductivity, electrical conductivity, physical dimensions such as diameter, length of the pipes, parameters of valves and pumps will change as time runs. This happens due to corrosion, scaling, aging, repairs during the maintenance, wear and tear. When the system is robust these changes slightly affect the performance of the system. When the system is not robust they make the system performance worst. Due to above reasons the process plant parameters changes as time runs. It is not easy to measure the changes in system parameters while plant is running and could not be evaluated optimum PID parameters through mathematical model. In this paper a new approach using genetic algorithm and neural network is established for optimum self tuning of PID parameters by observing the time response of the system at any time while plant is running.

Seelam K.,UCEK | Sailaja M.,UCEK | Madhu T.,SIET
Advances in Intelligent Systems and Computing | Year: 2015

The tiny, battery-powered sensor nodes of the wireless sensor networks (WSNs) sense and send reports to a processing center called sink or base station. The sensor nodes require more energy while gathering information for longer durations. This study proposes a protocol heterogeneous in energy which analyzes basic distributed clustering routing protocol low-energy adaptive clustering hierarchy (LEACH) with BAT optimization algorithm to be used for cluster formation and cluster-head (CH) selection. Pipelining is used for packet scheduling. Simulations show that the energy consumption gets reduced significantly. © 2015, Springer India.

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