Vignan University

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.

Predicting Student Performance with ANNQ3H: A Case Study in Secondary Education

Abstract: In late advancements, Educational foundations chasing and persevering best execution from the understudies. So, the Educational Institutions are endeavouring to improve the presentation of understudies in scholastics in this article an Artificial Neural Network model built using the Quick method with 3 Hidden layers (ANNQ3H) implemented in IBM SPSS modeller. It is used for predicting the performance of secondary students based on 16 parameters that are related to their regular life. For executing the ANNQ3H model data set collected from 606 secondary education students in the form questionnaire, in India. This model showed good performance with better accuracy 93.39% when compared with other Data Mining (DM) classification techniques like LR (Logistic Regression), DT (Decision Tree) algorithms, Naive Bayes, SVM (Support Vector Machine). Applications of DM are turning into a progressively basic apparatus in comprehension and taking care of instructive and authoritative issues in training. The discoveries of this article demonstrate the viability and importance of DM techniques in-subject assessment and advanced education mining. Besides, these discoveries might be utilized to increase the estimation instruments.In addition analysis of feature importance also shown for neural network classifiers it is used for evaluate the student performance.

Benzoxazine modified diglycidyl ether of bisphenol-a/silicon/siliconized epoxy hybrid polymer matrices: Mechanical, thermal, electrical and morphological properties

Abstract: Benzoxazines modified epoxy hybrid polymer matrices were developed using benzoxazines (CBDDM and BMPBDDM) and epoxy resins (DGEBA, SE and EP-HTPDMS) to make them suitable for high performance appli...

Design and Synthesis of "Chloropicolinate Amides and Urea Derivatives" as Novel Inhibitors for Mycobacterium tuberculosis.

Abstract: A series of 30 novel diamino phenyl chloropicolinate fettered carboxamides, urea, and thiourea derivatives were synthesized by coupling of methyl 4-amino-6-(2-aminophenyl)-3-chloropyridine-2-carboxylate with different acid chlorides, urea, and thiourea moieties, respectively. All of these compounds were characterized by 1H and 13C nuclear magnetic resonance spectroscopy, CHN analysis, and high-resolution mass spectra for confirmation of the structures. Two compounds were also characterized by single-crystal X-ray diffraction analysis to confirm the structures obtained by spectral analysis. All these 30 compounds were tested for their in vitro antimycobacterial activity using the microplate alamar blue assay method against Mycobacterium tuberculosis. Five compounds have shown good minimum inhibitory concentration (MIC) values with low cytotoxicity when compared with the reference drugs. Moreover, some of the compounds have high MIC values compared with isoniazid, rifampicin, and so forth and also had shown good reign in the spread of bacteria by the nutrient starvation model. These antimycobacterial activity results have shown a good correlation with molecular docking model analysis with the inhibitors MurB by exhibiting strong interactions. Some of these compounds could be promising candidates against M. tuberculosis for future preclinical agent drug development.

A New Modified Artificial Neural Network Based MPPT Controller for the Improved Performance of an Asynchronous Motor Drive

Abstract: Objectives: To improve the performance of asynchronous motor drive, the proposed Artificial Neural Network (ANN) based Maximum Power Point Tracking (MPPT) controller has been used to fed the asynchronous motor drive with the obtained output voltage and currents of PV MPPT. Methods and Analysis: DC-DC boost converter and space vector modulation technique inverter are used to provide the required supply to the load. The proposed ANN based MPPT improves the system efficiency even at abnormal weather conditions. Findings: Solar energy is an important alternative out of the various renewable energy sources. On an average the sunshine hour in India is about 6hrs per day also the sun shines in India is about 9 months in a year. To generate electricity from the sun, the Solar Photo Voltaic (SPV) modules are used. The SPV comes in various power outputs to meet the load requirements. Maximization of power from a solar photo voltaic module is a special case to increase the efficiency of the system. The proposed artificial neural network (ANN) based MPPT controller is used to track the maximum power. DC-DC boost converter and space vector modulation technique inverter are used to provide the required supply to the load. The proposed ANN based MPPT improves the system efficiency even at abnormal weather conditions. Torque and current ripple contents have been reduced to a large extent with the help of proposed ANN based MPPT for an asynchronous motor drive. Also the better performance of an asynchronous motor drive is analyzed by the comparison of existed conventional and proposed MPPT controller using Matlab-simulation results. Improvement: Improvements in torque and current ripple and better speed performances are clearly analyzed with the help of practical validations. And also few of the observations are carried out and tabulated.