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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: Computer science & Control theory. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.


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Book ChapterDOI
13 Jan 2017
TL;DR: This article proposes an algorithm, dynamic computational energy aware where computing time of a task is increased based on the requirement in order to achieve exceptional power efficiency by considering multi-low power states.
Abstract: Optimizing the frequency of a homogeneous multi-core platform for a Real Time Operating System (RTOS) increases the power utilization factor. The level of consistency of RTOS is concerning the amount of time taken to complete the execution of the hard real time task. Multi-core platforms need special techniques for process management and power management. DPM is one of the techniques designed to achieve the power efficiency in which all the cores have to operate at the same speed simultaneously which leads to the lack of flexibility for power management. This article, proposes an algorithm, dynamic computational energy aware where computing time of a task is increased based on the requirement in order to achieve exceptional power efficiency by considering multi-low power states.
Book ChapterDOI
01 Jan 2017
TL;DR: In this article, the authors employed the Box-Behnken design using response surface methodology to determine the optimum values of process conditions to maximize the removal of Cadmium (Cd) from the aqueous synthetics solutions.
Abstract: Cadmium (Cd) is an occupational environmental contaminant gets transported through air, water and soil. The nephrotoxicity of Cd is well authenticated. Hence, to study the individual and interaction effects of different physicochemical parameters namely, temperature, pH, biomass dosage, initial Cd ion concentration and to determine the optimum values of process conditions to maximize the removal of Cd from the aqueous synthetics solutions, Box–Behnken design using response surface methodology was employed. Regression analysis indicated that quadratic model was highly significant. Maximum Cd removal of 89.143 %with sea urchin test as biosorbent was obtained using optimization by response surface methodology at optimum conditions of pH 5.97, temperature 31.98 °C, initial concentration of Cd, 20.56 mg/l and biosorbent loading of 0.5 g/l.
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 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.
Book ChapterDOI
01 Jan 2017
TL;DR: There is data susceptibility, which is influenced by attacks like membership disclosure protection and homogeneity attack, and a privacy definition called L-Diversity is proposed, which can be implemented and experimental evaluation is shown.
Abstract: The Online Shopping experience has provided the new ways of business and shopping. Now the traditional way of shopping has changed into easy and convenience manner according to customer shopping behavior and preferences. Extracting shopping patterns from increasing data is not a trivial task. This paper will help to understand the importance of data mining techniques i.e., Association rule mining is to get relationships between different items in the dataset, and frequent item set mining aims to find the regularities in the shopping behavior of customers, clustering and concept hierarchy to provide business intelligence to improve sales, marketing and consumers satisfaction. In this paper while using data mining techniques there is data susceptibility, which is influenced by attacks like membership disclosure protection and homogeneity attack. These attacks deal with reveal of information based on quasi identifier value in the data set. In this paper, protecting sensitive information is an important problem. Detailed analysis of these both attacks are given and proposed a privacy definition called L-Diversity, which can be implemented and experimental evaluation is also shown.

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