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Prasad S.S.,Andhra University | Das G.T.R.,Andhra University | Subramanyam P.S.,V.B.I.T
Journal of Theoretical and Applied Information Technology | Year: 2011

In this paper, a new simplified method for six phase Induction motor model control by Space Vector PWM scheme is implemented to dual five and dual six level inverter fed six phase induction motor. Specifically as compared with dual five, dual four, dual three and dual two level inverters, for a given dc bus voltage, a dual Six-level inverter is able to synthesize better waveforms with reduced torque ripples. This method is based on the simplification of the space-vector diagram of six-level inverter into six space vector diagrams of a four-level inverter and the each space-vector diagram of each four-level inverter is decomposed in to six space vector diagrams of three-level inverters and each three-level inverter is decomposed in to six space vector diagrams of two-level inverters. The total harmonic distortion have been calculated for dual five and six level Inverter fed six phase induction motor and found that THD is very much reduced for dual six-level inverter fed six phase Induction motor. © 2005-2011 JATIT & LLS All rights reserved.


A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distributions system is popular because of low cost and simple design. In distribution systems, the voltages at buses decrease proportionally, when moved away from the substation, also the losses increases quadratically. The reason for decrease in voltage and increase in losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. But the placement of the capacitor with appropriate size is always a challenge. Thus the optimal capacitor placement problem is to determine the location and size of capacitors to be placed in distribution networks in an efficient way to reduce the power losses and improve the voltage profile of the system. For this purpose, in this paper, two stage methodologies are used. In first stage, the load flow of pre-compensated distribution system is carried out using 'dimension reducing distribution load flow algorithm (DRDLFA)'. On the basis of this load flow the potential locations of compensation are computed. In the second stage, Differential Evolution (DE) Algorithm is used to determine the optimal location and size of the capacitors. The above method is tested on IEEE 69 bus system and compared with other method Fuzzy-Genetic Algorithm. © 2012 IEEE.


Neelima S.,MVJCE | Subramanyam P.S.,VBIT
2011 IEEE PES International Conference on Innovative Smart Grid Technologies-India, ISGT India 2011 | Year: 2011

A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distributions system is popular because of low cost and simple design. In distribution systems, the voltages at buses decrease proportionally, when moved away from the substation, also the losses increases quadraticaly. The reason for decrease in voltage and increase in losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. But the placement of the capacitor with appropriate size is always a challenge. Thus the optimal capacitor placement problem is to determine the location and size of capacitors to be placed in distribution networks in an efficient way to reduce the power losses and improve the voltage profile of the system. For this purpose, in this paper, two stage methodologies are used. In first stage, the load flow of pre-compensated distribution system is carried out using dimension reducing distribution load flow algorithm (DRDLFA). On the basis of this load flow the potential locations of compensation are computed. In the second stage, Differential Evolution (DE) Algorithm is used to determine the optimal location and size of the capacitors such that the cost of the energy loss and capacitor cost to be a minimum. The above method is tested on IEEE 69 bus system and compared with other methods in the literature like Particle swarm optimization. © 2011 IEEE.


Neelima S.,VBIT | Subramanyam P.S.,VBIT
Journal of Theoretical and Applied Information Technology | Year: 2011

A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distributions system is popular because of low cost and simple design. In distribution systems, the voltages at buses reduces when moved away from the substation, also the losses are high. The reason for decrease in voltage and high losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. But the placement of the capacitor with appropriate size is always a challenge. Thus the optimal capacitor placement problem is to determine the location and size of capacitors to be placed in distribution networks in an efficient way to reduce the power losses and improve the voltage profile of the system. For this purpose, in this paper, two stage methodologies are used. In first stage, the load flow of pre-compensated distribution system is carried out using 'dimension reducing distribution load flow algorithm (DRDLFA)'. On the basis of this load flow the potential locations of compensation are computed. In the second stage, Genetic Algorithm (GA) technique is used to determine the optimal location and size of the capacitors such that the cost of the energy loss and capacitor cost to be a minimum. The above method is tested on IEEE 69 bus system and compared with other methods in the literature. © 2005 - 2011 JATIT & LLS. All rights reserved.


Prasad K.L.,Bharath University | Rao T.C.M.,VBIT | Kannan V.,Bharath University
2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015 | Year: 2015

In this research article the digital video watermarking technique is projected through a semi-blind pattern. The proposed method involves frame-spot matching model based on KAZE method at the initial stage, The KAZE method is deployed for matching the edge points of frame-spots with all video frames with the intention to detect the embedding and extract the respective regions. Then the frame entropy blocks are designated and converted by PCA (Principal Component Analysis) blocks. The QIM (Quantization Index Modulation) is employed to quantize the highest coefficient values on each PCA entropy chunks of every sub-band. The single shared secure key is employed to recover the watermarked content. The DWT (Discrete Wavelet Transform) is applied on every single video frame and disintegrate into group of sub-bands. During extraction this is simply reversed; however the KAZE frame-spot is harmonized through each frame edge points. The parameters like rotation, scaling and translation are assessed and the watermarked evidence can be effectively extracted. The proposed pattern is verified using a numerous of video structures and compared with other similar models such as SURF, SIFT, PCA-SIFT, KAZE and perceived high optimal results. The investigational outcomes demonstrated high imperceptibility and high strength against numerous outbreaks like JPEG encoding, addition of Gaussian noise, gamma modification, histogram equality and contrast rectification in both forms of ordinary videos and clinical videos. © 2015 IEEE.


Prasad K.L.,Bharath University | Malleswara Rao T.C.H.,VBIT
International Journal of Systems Signal Control and Engineering Application | Year: 2015

The heuristics based adaptive audio watermarking technique using SVD-KFDA is proposed in this study. The audio signal is segmented by sub-frames and synchronization code embedded with watermarked signal. On other side, the down-sampling and modulation process using energy relationship is anticipated in order ensure reliable and robust fidelity on watermarked signal. The heuristics process identifies the native energy relationship among sub-frames which is hidden in the watermarked signal through SVD-KFDA. The heuristics based adaptive model is more resilient and can propose extraordinary robustness on usual acoustic data processing and outbreaks associated with common watermarking methods. This system exposes feasibility on implementation and derives less evaluation complexity. © Medwell Journals, 2015.


Prasad K.L.,Bharath University | Rao T.C.M.,VBIT | Kannan V.,Bharath University
Proceedings - 6th International Advanced Computing Conference, IACC 2016 | Year: 2016

This research paper proposes a hybrid combination of semi-fragile Singular Value Decomposition (SVD) accompanied by Binocular Notification Difference (BND) for stereoscopic image watermarking pattern. The proposed model originated with two basic segments. At initial stage the logical intrinsic algebraic properties is used to generate content dependent watermarking through Mersenne Twister Algorithm. Once the generation of watermarking content, the BND scheme is directing the watermark embedding process. The BND inherits the tradeoff between total watermark content with clarity on visual acuity. The anticipated approach enriched through dual authentication method by chaotic map method to ensure credibility on security. Consequently the projected hybrid model is equated with other models in experimental results and analysis. This model is ensures the optimal performance against other methods in terms of tamper detection with authentication. © 2016 IEEE.


Prasad K.L.,Bharath University | Malleswara Rao T.C.,VBIT | Kannan V.,Bharath University
International Journal of Applied Engineering Research | Year: 2016

The digital image watermarking is an art of hiding secret image into source image. The robust approach of this watermarking practice is to trade-off image quality (invisibility) and embedding capacity. In this proposed article we present an efficient and hybrid approach that integrates features of lifted wavelet transform (LWT) and discrete wavelet transform (DWT) based on linear support vector regression (LSVR) and QR-factorization for watermarking. Initially, the QR-barcode (watermark image) grayed to achieve maximum watermarking capacity. The correlation feature of LWT is used to decompose image into non-overlapping blocks. The QR factorization is further decompose into Q and R matrices. The LSVR is obtain input samples from R-matrix for training and learning purpose. In the second segment, we implement the DWT based multi-channel fake-proof authenticity mechanism. Precisely the integrated hybrid approach produces less distortion rate. The experimental results is analyzed with other models and offers high reliability on watermark embedding and authenticity along with less computational cost. © 2016, Research India Publications.

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