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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.


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Journal ArticleDOI
TL;DR: An arbiter PUF is proposed to encounter the two major issues like uniqueness and reliability by employing current mirror based inverters at each delay stage and this configuration significantly reduces the curve and widen the delay difference between the two symmetric daisy-chain delay paths that can be selected by the input challenge.
Abstract: At present due to emergence of digital technologies into all spheres of human life demands for hardware security due to enhanced online shopping and payments through mobiles. In this regard light weight and tamper resistive cryptographic Physical Unclonable Functions (PUFs) with the unique set of responses are considered as fitted hardware security solution. In this paper we proposed an arbiter PUF to encounter the two major issues like uniqueness and reliability by employing current mirror based inverters at each delay stage and this configuration significantly Reduce the curve and widen the delay difference between the two symmetric daisy-chain delay paths that can be selected by the input challenge. The charging and discharge flow of the current starter inverters is considerably smaller and the propagation delay is blurred to temperature differences. Therefore we can easily achieve high reliability compared to existing PUF structures. The proposed current mirror-based CSI PUF architecture cadence is simulated using Virtuoso CMOS 45 nm technology and measures its performance metrics for statistical analysis and obtains ideal values.
Book ChapterDOI
01 Jan 2021
TL;DR: In this article, the authors discuss the factors for identifying emotional intelligence, the steps for improving the emotional intelligence of all employees in an organization, and steps for making their employees more emotionally intelligent.
Abstract: Emotional intelligence (EI) should consider such aspects as sensitivity, pressure, and sense. Emotional intelligence reflects the capacity to see, control, and evaluate the feelings of employees in an organization. A few scientists recommend that emotional intelligence can be learned and reinforced, whereas others consider it an inherent characteristic. Various testing models have been introduced to evaluate employee awareness, although the essence and the approach of each test differ. An employee who has high emotional intelligence can have the option to communicate their feelings strongly, and to understand the feelings of other employees, to establish a friendly atmosphere in the work environment that thus results in better outcomes. Emotional intelligence is not tied to being soft with others. It is an alternate method for being dedicated and having the ability to utilize one’s feelings to assist with best decisions, and be progressively successful with oneself and the effects on others to improve personal thinking skills. Emotionally intelligent individuals are capable of recognizing, handling, and reacting to their feelings effectively in handling customers of the organization as well as other employees. Making their employees more emotionally intelligent is a challenging task for the organization to maintain the best platform for employees to prove their talent and skills, thereby improving the growth of the organization. Team leaders could benefit by using emotional intelligence as the ability to understand the emotions of their team members, considering their emotions as major abilities to provide the best environment for better outcomes for employees. This research work discusses emotional intelligence, the factors for identifying it, and steps for improving the emotional intelligence of all employees in an organization.
Posted ContentDOI
02 Dec 2022
TL;DR: In this paper , the authors presented a patch antenna functioning at Wi-Fi and 5G bands at 3.5 GHz and 2.4 GHz using Koch fractal curves, respectively.
Abstract: Abstract This communication presented the patch antenna functioning at Wi-Fi and 5G bands. To get compactness the side lengths of the patch are calculated with reference to upper-frequency band (3.5 GHz). Lower band (2.4 GHz) is obtained by loading the Mushroom Unit Cell (MUC) along the bottom right corner of the patch. To attain circular polarization (CP) at 5G band the edges of the patch are replaced with Koch fractal curves. This blend of the Double Negative Transmission Lines metamaterials (DNG TL), as well as fractal concepts yielded good compactness suitable for ultra-thin portable gadgets. Measured results have good correlation with simulated data from HFSS. The achieved bandwidths at the lower and upper bands are 2.4% and 5.6%. CP bandwidth of the proposed antenna at 5G band obtained from the measured data is 2.2%.
Book ChapterDOI
01 Jan 2022
TL;DR: In this article, a Quality Assisted Spectrum Allocation (QASA) based on loss probability is proposed and a dynamic threshold modeling is suggested for spectrum sensing under dynamic channel condition, where Rayleigh and Rician fading models are considered and used the Lagrange mathematical concept to calculate the bit error and to minimize the distortion.
Abstract: Future communications are developed with new communication standards for multi access technologies, where spectrum sharing and Non-orthogonal multiple access (NOMA) are the two latest approaches. To transfer the data from one end to another end through this wireless communication medium interference take place, which affects the total system performance. To minimize the interference in these communications the efficient spectrum sharing technique was developed. Cooperative relaying in NOMA system with spectrum sharing using threshold modeling were proposed in past. To improve the resource allocation in NOMA with cooperative relaying, instantaneous signal to noise ratio were used in obtaining higher outage throughput in a spectrum sharing cognitive radio-NOMA (CR-NOMA) system. In the previous methods constant thresholding is considered in the energy detection model and the quality of signaling is not observed, which results in lower throughput. In this work, a Quality Assisted Spectrum Allocation (QASA) based on loss probability is proposed and a dynamic threshold modeling is suggested for spectrum sensing under dynamic channel condition. Here the Rayleigh and Rician fading models are considered and used the Lagrange mathematical concept to calculate the bit error and to minimize the distortion. The throughput of the proposed work performs well when compared with the conventional method of Simultaneous wireless information and power transfer (SWIPT).
Journal ArticleDOI
TL;DR: In this article, a visible light sensitive NiTiO3 nanocomposite that exhibits photocatalytic behavior was synthesized using solvo-thermal method, which was characterized using X-ray diffraction, scanning electron microscopy.

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