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Bhīmavaram, India

Balakrishna A.,SRKR Engineering College | Rao D.N.,Centurion University of Technology and Management | Rakesh A.S.,Sri Vishnu Engineering College for Women
Composites Part B: Engineering | Year: 2013

Natural fibers have been in a wide use since the evolution of the human race. Catching up the "Eco drive", engineers were looking for eco-friendly alternatives for plastic fiber. In the due course many natural fibers have been tested and some were able to make their stand becoming economically viable. The present work proposes to prepare and test a Natural Fiber (Asian Palmyra) Reinforced Composite (NFRC). The study is planned in accordance to a 3-Level Factorial Design and determine the variation of Tensile Strength (TS), of short and randomly oriented Palmyra NFRC, under control parameters such as alkali treatment time, fiber length and fiber volume%. The present paper focuses to model the influence of process variables on TS through response surface methodology. The mathematical model which is developed to predict tensile strength is found statistically valid and sound within the range of the factors. © 2013 Elsevier Ltd. All rights reserved.


Vaisakh K.,Andhra University | Srinivas L.R.,SRKR Engineering College
Simulation Modelling Practice and Theory | Year: 2011

This paper presents a particle swarm optimization with differentially perturbed velocity hybrid algorithm with adaptive acceleration coefficient (APSO-DV) for solving the optimal power flow problem with non-smooth and non-convex generator fuel cost characteristics. The APSO-DV employs differentially perturbed velocity with adaptive acceleration coefficient for updating the positions of particles for the particle swarm optimization. The feasibility of the proposed approach was tested on IEEE 30-bus and IEEE 118-bus systems with three different objective functions. Several cases were investigated to test and validate the robustness of the proposed method in finding the optimal solution. The effectiveness of the proposed approach was tested including contingency also. Simulation results demonstrate that the APSO-DV provides superior results compared to classical DE, PSO, PSO-DV and other methods recently reported in the literature. An innovative statistical analysis based on central tendency measures and dispersion measures was carried out on the bus voltage profiles and voltage stability indices. © 2011 Elsevier B.V. All rights reserved.


Vaisakh K.,Andhra University | Srinivas L.R.,SRKR Engineering College
Engineering Applications of Artificial Intelligence | Year: 2011

In this paper, an effective and reliable algorithm, termed as evolving ant direction differential evolution (EADDE) algorithm, for solving the optimal power flow problem with non-smooth and non-convex generator fuel cost characteristics is presented. In this method, suitable mutation operator for differential evolution (DE) is found by ant colony search. The genetic algorithm evolves the ant colony parameters and the NewtonRaphson method solves the power flow problem. The proposed algorithm has been examined on the standard IEEE 30-bus and IEEE 57-bus systems with three different objective functions. Different cases were considered to investigate the robustness of the proposed method in finding the global solution. The EADDE provides better results compared to classical DE and other methods recently reported in the literature as demonstrated by simulation results. © 2010 Elsevier Ltd.


Madireddy R.M.,Pragati engineering college | Gottumukkala P.S.V.,SRKR Engineering College | Murthy P.D.,Jawaharlal Nehru Technological University Kakinada | Chittipothula S.,Jawaharlal Nehru Technological University Kakinada
Cellular and Molecular Life Sciences | Year: 2014

The complexity in shape context method and its simplification is addressed. A novel, but simple approach to design shape context method including Fourier Transform for the object recognition is described. Relevance of shape context, an important descriptor for the recognition process is detailed. Inclusion of information regarding all the contour points (with respect to a reference point) in computing the distribution is discussed. Role of similarity checking the procedure details regarding the computation of matching errors through the alignment transform are discussed. Present case of shape context (for each point with respect to the centroid) descriptor is testified for its invariance to translation, rotation and scaling operations. Euclidean distance is used during the similarity matching. Modified shape context based descriptor is experimented over three standard databases. The results evidence the relative efficiency of the modified shape context based descriptor than that reported for other descriptor of concurrent interests. © 2014 Madireddy et al.; licensee Springer.


Vaisakh K.,Andhra University | Srinivas L.R.,SRKR Engineering College
Energy | Year: 2010

This paper proposes an evolving ant direction differential evolution (EADDE) algorithm for solving the optimal power flow problem with non-smooth and non-convex generator fuel cost characteristics. The EADDE employs ant colony search to find a suitable mutation operator for differential evolution (DE) whereas the ant colony parameters are evolved using genetic algorithm approach. The Newton-Raphson method solves the power flow problem. The feasibility of the proposed approach was tested on IEEE 30-bus system with three different cost characteristics. Several cases were investigated to test and validate the robustness of the proposed method in finding the optimal solution. Simulation results demonstrate that the EADDE provides superior results compared to a classical DE and other methods recently reported in the literature. An innovative statistical analysis based on central tendency measures and dispersion measures was carried out on the bus voltage profiles and voltage stability indices. © 2010 Elsevier Ltd.

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