SRKR Engineering College

andhra Pradesh, India

SRKR Engineering College

andhra Pradesh, India
SEARCH FILTERS
Time filter
Source Type

Raju P.R.M.,Srkr Engineering College | Rajesh S.,Srkr Engineering College | Raju K.S.R.,Srkr Engineering College | Raju V.R.,Jawaharlal Nehru Technological University Kakinada
Materials Today: Proceedings | Year: 2017

The main objective of this paper is to carry out a study of effect of nano Al2O3 reinforcement on the fatigue life of aluminum nano metal matrix composite. The reinforcing particulates in the NMMC's vary from 0% to 2% by weight with an increment of 0.5%. The liquid metallurgy method coupled with powder metallurgy is employed to fabricate the composites, in which the reinforcements are poured into the vortex created by stirring the molten metal by means of mechanical two stage stirrer. The composites so produced are subjected to tensile and fatigue testing. Fatigue tests were conducted on Al2024 and its nano composite on rotary bending fatigue testing machine at five different stress levels. Statistical design of fatigue experiments was carried out to determine the sample size at each stress level. Details of generation of S-N curve for Al2024 and its composite using a regression analysis is delineated. ANOVA is performed in order to check the significance of regression equation. The S-N curve of the aluminum nano composite is compared with its matrix Al2024. Scanning Electron Micrograph (SEM) image of the cast NMMC having highest fatigue life is also taken in order to study the dispersion of reinforcements in the matrix. © 2017 Elsevier Ltd. All rights reserved.


Murthy K.V.S.S.R.,SRKR Engineering College | Satyanarayana K.V.V.,Koneru Lakshmaiah College of Engineering
Data in Brief | Year: 2017

Now a day׳s SSRs occupy the dominant role in different areas of bio-informatics like new virus identification, DNA finger printing, paternity & maternity identification, disease identification, future disease expectations and possibilities etc., Due to their wide applications in various fields and their significance, SSRs have been the area of interest for many researchers. In the SSRs extraction, retrieval algorithms are used; if retrieval algorithms quality is improved then automatically SSRs extraction system will achieve the most relevant results. For this retrieval purpose in this paper a new retrieval mechanism is proposed which will extracted the MONO, DI and TRI patterns. To extract the MONO, DI and TRI patterns using proposed retrieval mechanism in this paper, DNA sequence of 1403 virus genome data sets are considered and different MONO, DI and TRI patterns are searched in the data genome sequence file. The proposed Next Generation Sequencing (NGS) retrieval mechanism extracted the MONO, DI and TRI patterns without missing anything. It is observed that the retrieval mechanism reduces the unnecessary comparisons. Finally the extracted SSRs provide the useful, single view and useful resource to researchers. © 2017 The Authors


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.


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

Loading SRKR Engineering College collaborators
Loading SRKR Engineering College collaborators