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Narasimha Rao D.,Koneru Lakshmaiah College of Engineering | Saritha V.,VR Siddhartha Engineering College
International Journal of Electrical and Computer Engineering | Year: 2015

This paper presents about improving stability of the system which can be possible with new FACTS device with more convenient. FACTS devices come under the influence of power electronics equipment. Distributed Power Flow Controller is a FACTS device used for damping low frequency oscillation with new controlling approach. It is valid for a wide range of the operating condition. In this work explain the basic model and its steady state operation, mathematical analysis injection of current control model of the DPFC. Using damping controller used in DPFC facts device as input to implement the task of power oscillation damping .Here this work had a brief study on damping, terminal voltage and excitation voltage at different load conditions, simulation results demonstrate damping low frequency oscillation at nominal, light and heavy loading conditions. Copyright © 2015 Institute of Advanced Engineering and Science. All rights reserved. Source


Sri Harsha S.,VR Siddhartha Engineering College | Anne K.R.,Tamil University
International Journal of Applied Engineering Research | Year: 2016

The high pace rise in vehicle counts, traffic density, and security concerns, a potential system for traffic surveillance, vehicle monitoring and control has become an inevitable need to facilitate intelligent transportation system (ITS). Although, numerous approaches have been proposed for moving vehicle detection and tracking, still the optimization needs can’t be ignored. In this paper, a robust image processing based vehicle detection, tracking and speed measurement model has been developed. The proposed model implements enhanced pre-processing, background subtraction, morphological operation as well as feature mapping processes for moving vehicle detection, tracking and speed estimation. To achieve optimal performance, a multi-directional filtering scheme has been develop for moving vehicle detection, which considers intensity, moving pixel orientation etc. for efficient candidate vehicle detection in traffic video. To enhance background subtraction, a novel multi-directional intensity strokes estimation approach has been introduced that plays significant role for distinguishing vehicle region from other background contents. In addition, the enhanced thinning and dilation based morphological process has been introduced that exhibits more precise and accurate vehicle detection. A novel feature clustering scheme with heuristic filtering based blob analysis and adaptive bounding box generation makes our proposed model more efficient for vehicle detection and tracking. Furthermore, a novel moving vehicle speed estimation approach has been developed that can be significant for efficient ITS systems. © Research India Publications. Source


Raj V.N.P.,VR Siddhartha Engineering College | Venkateswarlu T.,Sri Venkateswara University
2011 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2011 | Year: 2011

In Medical diagnosis operations such as feature extraction and object recognition will play the key role. These tasks will become difficult if the images are corrupted with noises. So the development of effective algorithms for noise removal became an important research area in present days. Developing Image denoising algorithms is a difficult task since fine details in a medical image embedding diagnostic information should not be destroyed during noise removal. Many of the wavelet based denoising algorithms use DWT (Discrete Wavelet Transform) in the decomposition stage which is suffering from shift variance. To overcome this in this paper we are proposing the denoising method which uses Undecimated Wavelet Transform to decompose the image and we performed the shrinkage operation to eliminate the noise from the noisy image. In the shrinkage step we used semi-soft and stein thresholding operators along with traditional hard and soft thresholding operators and verified the suitability of different wavelet families for the denoising of medical images. The results proved that the denoised image using UDWT (Undecimated Discrete Wavelet Transform) have a better balance between smoothness and accuracy than the DWT. We used the SSIM (Structural similarity index measure) along with PSNR to assess the quality of denoised images. © 2011 IEEE. Source


Srinivasa Rao B.,VR Siddhartha Engineering College | Vaisakh K.,Andhra University
International Journal of Electrical Power and Energy Systems | Year: 2013

This paper presents a new multi objective optimization approach based on Adaptive Clonal Selection Algorithm (ACSA) to solve complex Environmental/ Economic Dispatch (EED) problem of thermal generators in power system. The proposed methodology also incorporates the power demand equality constraint and ensures various operating constraint limits while solving EED problem. In this algorithm an adaptive Clonal selection principle with non-dominated sorting technique and crowding distance has been used to find and manage Pareto-optimal set. Clonal selection principle is one of the models used to incorporate the behavior of the artificial immune system. The biological principles of clone generation, proliferation and maturation are mimicked and incorporated into this algorithm. To show the effectiveness of the proposed Multi Objective Adaptive Clonal Selection Algorithm (MOACSA) in solving EED problem two types of test systems have been considered with various objectives. These includes an IEEE 30-bus 6 unit test system and an 82-bus 10 unit Indian utility real life power system network for solving EED problem without and with load uncertainty. Simulation results are compared by implementation of three other standard algorithms such as Non-dominated Sorting Genetic Algorithm-II (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-Objective Differential Evaluation (MODE) methods. © 2013 Elsevier Ltd. All rights reserved. Source


Swamy G.N.,VR Siddhartha Engineering College
Proceedings - 2012 International Conference on Communication, Information and Computing Technology, ICCICT 2012 | Year: 2012

In this paper the concepts of frequency domain watermarking and Secret Sharing are combined to protect the copyrights of a digital image. The proposed method employs the concept of XOR-based Visual Secret Sharing (XVSS) to split a watermark into two unexpanded parts, a public watermark and a private watermark. The private watermark is extracted from the features of host image and original watermark. The public watermark can be extracted from the controversial image at any time without the need for original host image and/or watermark. Since private watermark is needed in recovering the original watermark, the proposed scheme comes under the category of semi-blind watermarking. The proposed watermarking technique aims at improving the security of similar watermarking schemes by processing LL sub-band coefficients of Discrete Wavelet Transform (DWT) of the host image to satisfy central limit theorem. The simulation results reveal that the proposed method can resist to a variety of common image processing manipulations. © 2012 IEEE. Source

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