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Institution

Vignan University

EducationGuntur, Andhra Pradesh, India
About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Control theory & CMOS. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.


Papers
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Journal ArticleDOI
TL;DR: A concise, economical, and highly enantioselective synthesis of bismesylate intermediate of lurasidone HCl, an antipsychotic, has been developed as mentioned in this paper.

3 citations

Journal ArticleDOI
TL;DR: A new method is developed for obtaining high quality genomic DNA from a pulmonate snail Achatina fulica, which secretes a large amount of mucus, compatible for downstream molecular biology applications like PCR and sequencing of 16S rDNA.
Abstract: Genomic DNA of good quality is a prerequisite in molecular biology studies involved in deciphering the information contained in the molecules that are chosen for studying the evolutionary interrelationships among taxa. Genomic DNA should be free of contaminants which may otherwise interfere while performing PCR. This is particularly essential while isolating genomic DNA from gastropods due to the presence of large amounts of mucopolysaccharides in their tissues. In the present study, we have developed a new method for obtaining high quality genomic DNA from a pulmonate snail Achatina fulica, which secretes a large amount of mucus. In this method, we have obtained good quality genomic DNA, compatible for downstream molecular biology applications like PCR and sequencing of 16S rDNA. The yield of the genomic DNA was 2790 µg/ml. This method may be extended for isolating high quality genomic DNA from different gastropods native to Indian sub-continent, which serves as a starting point for studying their phylogenetic affinities.

3 citations

Proceedings ArticleDOI
03 Dec 2020
TL;DR: In this paper, a residue to binary reverse converter for three moduli set {2n+ 1, 2n, 2 n-1} by modifying the Chinese Remainder Theorem (CRT) was proposed.
Abstract: Residue Number System (RNS) has the specific feature to perform addition, subtraction independently with carry-free propagation In RNS, conversion is of two types: Forward Conversion and Reverse Conversion Chinese Remainder Theorem (CRT) and Mixed Radix Conversion (MRC) are the two extensively used techniques adapted for reverse conversion and in this case, CRT is proved faster than MRC This paper proposes a residue to binary reverse converter for three moduli set {2n+ 1, 2n, 2n- 1} by modifying the CRT It is simplified in order to design a reverse converter that does not require modular operations The operations required in the existing designs are mod (2n) mod (2n – 1) and mod (2n – 1) operations The proposed design provides better results in terms of power, area, delay and number of cells over the existing CRT design and does not require mod operations which are however necessary in the existing CRT technique This design has been simulated using NC Launch - Encounter tool in Cadence

3 citations

Proceedings ArticleDOI
01 Sep 2019
TL;DR: An effective face video Super Resolution method-based on Deep Convolutional Neural Network (Deep CNN) is introduced in this paper to achieve the face resolution effectively.
Abstract: In video surveillance, low resolution in face recognition is a major problem. Various Super Resolution (SR) approaches are introduced to perform the high resolution of face video recognition from low resolution videos. However, enhancing the resolution of face videos and reconstructing the high frequency data is a major problem in research area. Therefore, an effective face video Super Resolution method-based on Deep Convolutional Neural Network (Deep CNN) is introduced in this paper to achieve the face resolution effectively. Initially, the input video collected from the database is passed into the frame extraction stage, where the video frames are extracted and the face detection is carried out using the Viola Jones algorithm. Moreover, the detected image frame is processed by the Deep Convolutional Neural Network (Deep CNN) to enhance the image resolution. Deep CNN is highly effective in performing super resolution in face videos. However, the proposed Deep Convolutional Neural Network attains better performance using the metrics, like Second Derivative like Measure of Enhancement (SDME) as 0.9743 using video-1, and Feature SIMilarity index (FSIM) as 53.843 for video-4, respectively.

3 citations

Journal ArticleDOI
TL;DR: In this article, the phase imbalance scheme for damping torsional oscillations of a series capacitor compensated power system was implemented for the IEEE Second Benchmark Model, system-1, wherein two turbine generator model and two system model connected to an infinite bus is employed as a standard system model to study the concept of subsynchronous resonance.
Abstract: This paper implements the phase imbalance scheme for damping torsional oscillations of a series capacitor compensated power system. The IEEE Second Benchmark Model, system-1, wherein two turbine generator model and two system model connected to an infinite bus is employed as a standard system model to study the concept of subsynchronous resonance. The turbine generator models have a common torsional mode. The Electromagnetic Transients Program (EMTP) is employed to simulate the damping effects provided by the phase imbalance scheme. The simulation results also show that parallel phase imbalance scheme gives the better damping characteristics when compared to that of series phase imbalance scheme. DOI: http://dx.doi.org/10.11591/ijece.v4i5.6296

3 citations


Authors
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
202231
2021352
2020254
2019250
2018159