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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: In this paper, the effect of feed moisture content, [25 − 35% (WB)] and extrusion process variables barrel temperature (60 − 80 °C) and screw speed (250 − 300 ǫ) on physicochemical and bioactive properties of extruded beads was studied.
Abstract: Present research involves the development of nutritious multigrain flakes from rice flour, black gram flour and flaxseed flour mixture and using extrusion, flaking followed by microwave roasting. The effect of feed moisture content, [25–35% (wb)] and extrusion process variables barrel temperature (60–80 °C) and screw speed (250–300 rpm) on physicochemical and bioactive properties of extruded beads was studied. The results indicated that feed with higher moisture content produced beads with lesser diameter, however higher barrel temperature contributed to increased bead diameter up to 7 mm. Extrusion process caused TPC and AA to decline by 26% and 47% respectively due to thermal degradation. Further, extruded beads were flaked and influence of microwave roasting power (540–900 W) and treatment time (1–4 min) on functional attributes of flakes was evaluated. During the roasting, moisture of the flakes was reduced from the 18% to below 4% for long term safe storage. Higher power caused faster removal of moisture, consequently, reducing the roasting time. Roasting of flakes at 900 W for more than 2 min caused surface burning, which increased the browning index. Analysis of FTIR spectrum of raw and flakes powder revealed a reduction in peak intensity along with the shift in peak position, which could be due to functional group changes caused by extrusion and microwave roasting. Additionally, the roasted flakes were tested for sensory acceptability using fuzzy logic of sensory data and revealed that flakes produced from roasting at 900 W for 2 min had higher superior acceptability.

5 citations

Proceedings ArticleDOI
01 Jan 2018
TL;DR: A parallel processing based coding scheme is proposed by using Gauss-Jordan elimination kernel algorithm on a single instruction multiple data (SIMD) stream vector processor to realize a complex matrix inverse with optimum speed which is the need of 5G channel estimation and detection.
Abstract: In cellular communications, recently Multi In Multi Out (MIMO) and Massive MIMO research is getting attention for the need of high data rates in Long Term Evolution Advanced(LTE-A) and 5G Communications. In MIMO baseband signal processing at physical layer, both the channel estimation and the detection algorithms play a crucial role. In this paper it is discussed the estimation algorithms least square (LS) and minimum mean square error (MMSE) and the channel detection algorithms Zero Forcing (ZF) and MMSE. Currently none of the channel estimation algorithms of LTE-A offers twin advantages of low battery consumption and very low latency, which is a key requirement of 5G. It is expected the massive MIMO with 128 or more antennas will be a norm at 5G base stations. To achieve the ultra-low latency, the matrix computations for massive MIMO are the very big bottleneck in realizing the channel estimation and massive MIMO detection algorithms. For the optimization of the 5G Massive MIMO channel estimation and detection algorithms, the prerequisite is massive complex matrix inversion speed. In this paper, a parallel processing based coding scheme is proposed by using Gauss-Jordan elimination kernel algorithm on a single instruction multiple data (SIMD) stream vector processor to realize a complex matrix inverse with optimum speed which is the need of 5G channel estimation and detection.

5 citations

Proceedings ArticleDOI
20 Mar 2014
TL;DR: In this article, a back-propagation neural network trained model is employed to simulate and predict the maximum power point of a wind turbine using a set of data collected from the characteristics of wind turbine.
Abstract: This paper presents the improved model of wind hydro hybrid generation system involving an Artificial Intelligence control technique (ANN) in which three phase four wire local loads fed with two squirrel cage induction generators, one driven by a variable speed wind turbine and another driven by a constant power hydro turbine. The proposed system has a battery at the middle of two back-to-back connected pulse width modulation (PWM) controlled insulated-gate-bipolar — transistor (IGBT) based voltage source converters (VSCs). The main objectives of the control algorithm for the VSCs are to achieve the maximum power tracking (MPT) through rotor speed control of a wind turbine driven SCIG under varying wind speeds at machine side and to control the magnitude and frequency of the load voltage at load side. In this paper back-propagation neural network trained model is employed to simulate and predict the maximum power point of a wind turbine using a set of data collected from the characteristics of wind turbine. The random performance of the proposed system is presented to demonstrate its capability of MPT, voltage and frequency control (VFC) under various load conditions at different wind speeds. The proposed wind-hydro hybrid power generation is modeled and simulated in Matlab/simulink GUI environment.

5 citations

Journal ArticleDOI
TL;DR: In this article, four new sinusoidal waveform generators based on the operational transresistance amplifier (OTRA) are presented, among them two passive components are connected to ground.
Abstract: In this paper, four new sinusoidal waveform generators based on the operational transresistance amplifier (OTRA) are presented The first proposed circuit is a minimum component RC sinusoidal oscillator circuit with one OTRA and a few passive components The second and third proposed circuits consist of one OTRA and a few passive components, among them two passive components are connected to ground These circuits are able to control the condition of oscillation and frequency of oscillation independently The fourth proposed quadrature oscillator circuit uses two OTRAs as main active building blocks and a few external passive components to generate the oscillations The IC AD844AN is adopted to implement the proposed circuits on a laboratory breadboard with external passive components Both the SPICE simulation and experimental results are given to verify the theoretical analysis of the proposed circuits

5 citations

Journal ArticleDOI
TL;DR: The identification of opinions and sentiments from tweets is termed as "Twitter Sentiment Analysis (TSA)" as mentioned in this paper and the major process of TSA is to determine the sentiment or polarity of the tweet and then c...
Abstract: The identification of opinions and sentiments from tweets is termed as “Twitter Sentiment Analysis (TSA)”. The major process of TSA is to determine the sentiment or polarity of the tweet and then c...

5 citations


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