SRKR Engineering College

andhra Pradesh, India

SRKR Engineering College

andhra Pradesh, India

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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
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
Expert Systems with Applications | Year: 2011

This paper proposes an evolving ant direction hybrid differential evolution (EADHDE) algorithm for solving the optimal power flow problem with non-smooth and non-convex generator fuel cost characteristics. The EADHDE employs ant colony search to find a suitable mutation operator for hybrid differential evolution (HDE) where as 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 optimal solution. Simulation results demonstrate that the EADHDE provides very remarkable results compared to classical HDE and other methods reported in the literature recently. 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. 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.


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.


Someswara Rao C.,SRKR Engineering College | Viswanadha Raju S.,niversity Hyderabad
Genomics Data | Year: 2016

In this paper, we consider correlation coefficient, rank correlation coefficient and cosine similarity measures for evaluating similarity between Homo sapiens and monkeys. We used DNA chromosomes of genome wide genes to determine the correlation between the chromosomal content and evolutionary relationship. The similarity among the H. sapiens and monkeys is measured for a total of 210 chromosomes related to 10 species. The similarity measures of these different species show the relationship between the H. sapiens and monkey. This similarity will be helpful at theft identification, maternity identification, disease identification, etc. © 2016 The Authors.


Someswara Rao C.,SRKR Engineering College | Raju S.V.,niversity Hyderabad
Genomics Data | Year: 2016

Next generation sequencing (NGS) technologies have been rapidly applied in biomedical and biological research in recent years. To provide the comprehensive NGS resource for the research, in this paper , we have considered 10 loci/codi/repeats TAGA, TCAT, GAAT, AGAT, AGAA, GATA, TATC, CTTT, TCTG and TCTA. Then we developed the NGS Tandem Repeat Database (TandemRepeatDB) for all the chromosomes of Homo sapiens, Callithrix jacchus, Chlorocebus sabaeus, Gorilla gorilla, Macaca fascicularis, Macaca mulatta, Nomascus leucogenys, Pan troglodytes, Papio anubis and Pongo abelii genome data sets for all those locis. We find the successive occurence frequency for all the above 10 SSR (simple sequence repeats) in the above genome data sets on a chromosome-by-chromosome basis with multiple pattern 2° shaft multicore string matching. © 2016 The Authors.


Vaisakh K.,Andhra University | Srinivas L.R.,Srkr Engineering College
Applied Soft Computing Journal | Year: 2011

Ant colony optimization (ACO) was inspired by the observation of natural behavior of real ants' pheromone trail formation and foraging. Ant colony optimization is more suitable for combinatorial optimization problems. ACO is successfully applied to the traveling salesman problem. Multistage decision making of ACO gives an edge over other conventional methods. This paper proposes evolving ant colony optimization (EACO) method for solving unit commitment (UC) problem. The EACO employs genetic algorithm (GA) for finding optimal set of ACO parameters, while ACO solves the UC problem. Problem formulation takes into consideration the minimum up and down time constraints, startup cost, spinning reserve, and generation limit constraints. The feasibility of the proposed approach is demonstrated on two different systems. The test results are encouraging and compared with those obtained by other methods. © 2010 Elsevier B.V. All rights reserved.


Krishnam Raju K.V.,SRKR Engineering College | Valli Kumari V.,Andhra University
Communications in Computer and Information Science | Year: 2011

IEEE802.11i is the standard designed to provide secured communication of wireless LAN. The IEEE802.11i specification contains WPA-GPG authentication protocol. It allows a wireless station to gain access to a protected wireless network managed by access point. This paper models the WPA-GPG authentication protocol by formal verification using CasperFDR and analyzes the output. A few attacks are found in this protocol. The specifications through which these attacks are found are presented. © 2011 Springer-Verlag.


News Article | October 28, 2016
Site: co.newswire.com

Alok Kumar Epai, Founder and CEO of ZaranTech LLC and an engineering graduate from SRKR Engineering College, Bhimavaram Andhra Pradesh comes with 15+ years of experience in IT industry. He started his career as Business Analyst Trainer but his entrepreneurial motivation encouraged him to start a new venture, ZaranTech LLC IT Training and Consulting in 2007 at West Des Moines in the US and gradually extended his company in Bangalore, India. Alok Kumar is known for his entrepreneurial achievements

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