Institution
Velagapudi Ramakrishna Siddhartha Engineering College
About: Velagapudi Ramakrishna Siddhartha Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Antenna (radio). The organization has 1307 authors who have published 1155 publications receiving 6163 citations.
Topics: Computer science, Antenna (radio), Fiber, Cloud computing, Deep learning
Papers published on a yearly basis
Papers
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5 citations
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01 Jan 2021TL;DR: In this paper, an improved and simplified equation was proposed using nonlinear finite element method by ABAQUS, which predicts 80% of the experimental data in the range of 66-110% of measured shear strength.
Abstract: This paper gives the analytical investigation of six reinforced concrete deep beams reinforced with horizontal and vertical web reinforcement. Reinforced concrete deep beams analysis is a complex problem where there is no exact solution. The effect of reinforcement distribution has been studied and compared to experimental investigation and various codes such as ACI 318 and IS 456. A new formula is proposed to define shear strength of deep beams. The codal equations are too traditional for predicting the shear strength of RC deep beams, so an improved and simplified equation was proposed using nonlinear finite element method by ABAQUS. The FE results are compared with experimental results in terms of ultimate loads, displacements, tension stress damage. The proposed shear strength equation predicts 80% of the experimental data in the range of 66–110% of measured shear strength. FE model results accurately predicted. The stress contours suggested high stresses in the path of cracks and low stresses in the uncracked regions.
5 citations
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TL;DR: In this article, a spectrophotometric method for determination of Cu(II) in the trace quantities was developed by using piperazine as ligand in ammonium acetate medium.
Abstract: Spectrophotometric method for determination of Cu(II) in the trace quantities was developed by using piperazine as ligand in ammonium acetate medium. The Procedure developed was applied for the estimation Cu(II) in microgram quantities in the samples of alloys and the method was found to be simple, rapid and comparable to routine analytical methods for trace level analysis of metal ions in environmental samples in any laboratory where sophisticated and expensive instruments are not available. UV visible spectrophotometer is cost effective and available in almost all laboratories. The complexes of piperazine in aqueous solutions are not reported so far and this is the first attempt in this area of spectrophotometric analysis.
5 citations
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TL;DR: A simple and effective way of detecting and removing unhealthy nodes in the environment is proposed by using the Artificial Bee Colony algorithm which is known as the cuddle death design to improve the energy efficiency, packet delivery ratio with maximum throughput in WSN.
Abstract: Wireless sensor networks consist of some sensor nodes that have a minimum operational capability, with less memory capacity for storing data and limited energy source The deployment of these nodes or sensors takes place randomly in a dynamic or static environment This type of placement of nodes in a hostile environment can be charge by the malicious nodes in a wireless sensor network (WSN) This vulnerability in nodes makes the wireless sensor network unstable and leads to many types of demerits like limited battery lifetime, less computing, and limited memory space To avoid these attacks and to reduce the impact created by the malicious nodes, we suggest a simple and effective way of detecting and removing unhealthy nodes in the environment We proposed a simple scheme by using the Artificial Bee Colony algorithm which is known as the cuddle death design The theme of a scheme is to find the unhealthy or malicious cluster head nodes in the network and removing that particular node without creating any harm to the other nodes in the environment It also helps to improve the energy efficiency, packet delivery ratio with maximum throughput in WSN
5 citations
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TL;DR: In this paper, the Redlich-Kister polynomials were used to derive the quantities like excess molar volume, excess isentropic compressibility, excess kappa, excess speed of sound, and excess isobaric thermal expansion.
Abstract: Densities, ρ, and speeds of sound, u, for the binary liquid mixtures of 1,4-butanediol (1,4-BD) + 2-alkoxyethanols {2-methoxyethanol (2-ME), or 2-propoxyethanol (2-PE)} over the whole composition range have been measured at T = (303.15, 308.15, 313.15 and 318.15) K, and at atmospheric pressure (p = 0.1 kPa). Experimental data for the densities and speeds of sound have been used to derive the quantities like excess molar volume, $$ V_{\text{m}}^{\text{E}} $$
, excess isentropic compressibility, $$ \kappa_{S}^{\text{E}} $$
, excess molar isentropic compressibility, $$ K_{{S,{\text{m}}}}^{\text{E}} $$
, excess speed of sound, $$ u^{\text{E}} $$
, and excess isobaric thermal expansion $$ \alpha_{p}^{\text{E}} $$
. These excess parameters were correlated by Redlich–Kister polynomials. Excess partial molar volumes (
$$ \bar{V}_{\text{m,1}}^{\text{E}} $$
and $$ \bar{V}_{\text{m,2}}^{\text{E}} $$
) and their limiting values at infinite dilution (
$$ \bar{V}_{\text{m,1}}^{{ 0 {\text{E}}}} $$
and $$ {\bar{\text{V}}}_{\text{m,2}}^{{ 0 {\text{E}}}} $$
) have been calculated from the experimental density measurements and were analytically obtained using the Redlich–Kister polynomials. The results are discussed in terms of intermolecular interactions and their dependence on composition and temperature.
5 citations
Authors
Showing all 1307 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sanjay Kumar Shukla | 24 | 212 | 2295 |
Praveen V. Naidu | 15 | 51 | 479 |
Rizwan Patan | 15 | 69 | 719 |
A.V. Ratna Prasad | 14 | 28 | 1166 |
M. Srinivas | 14 | 40 | 428 |
Ch. Srinivas | 13 | 42 | 562 |
V. Vasu | 12 | 36 | 567 |
P. Hari Krishna | 11 | 35 | 491 |
K. Narendra | 10 | 46 | 291 |
Anish C. Turlapaty | 9 | 35 | 270 |
N. Ravikumar | 9 | 27 | 425 |
K. Ramanaiah | 9 | 18 | 292 |
Hari Krishna Vydana | 9 | 34 | 218 |
Aniruddh Bahadur Yadav | 9 | 22 | 213 |
K. R. Anne | 9 | 29 | 216 |