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Institution

Motilal Nehru National Institute of Technology Allahabad

EducationAllahabad, Uttar Pradesh, India
About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.


Papers
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Journal ArticleDOI
01 Apr 2018
TL;DR: A hybrid approach consisting of artificial neural network and genetic algorithm has been used for multi-objective optimization of friction stir welding parameters of dissimilar AA5083-O-AA6063-T6 aluminium alloys as mentioned in this paper.
Abstract: The present research investigates the application of artificial intelligence tool for modelling and multi-objective optimization of friction stir welding parameters of dissimilar AA5083-O–AA6063-T6 aluminium alloys. The experiments have been conducted according to a well-designed L27 orthogonal array. The experimental results obtained from L27 experiments were used for developing artificial neural network-based mathematical models for tensile strength, microhardness and grain size. A hybrid approach consisting of artificial neural network and genetic algorithm has been used for multi-objective optimization. The developed artificial neural network-based models for tensile strength, microhardness and grain size have been found adequate and reliable with average percentage prediction errors of 0.053714, 0.182092 and 0.006283%, respectively. The confirmation results at optimum parameters showed considerable improvement in the performance of each response.

28 citations

Journal ArticleDOI
TL;DR: The dual gold nanostructure-based electrochemical immunosensor to detect ovarian cancer biomarker carcinoma antigen 125 (CA125) in serum is reported, which has the potential to detectCA125 in clinical samples which show abnormally high or low levels of CA125 in serum.
Abstract: With an aim to develop a sensitive immunoassay for ovarian cancer detection that has linearity over a broad range, we hereby report a dual gold nanostructure-based electrochemical immunosensor to detect ovarian cancer biomarker carcinoma antigen 125 (CA125) in serum. Gold nanorods (GNRs) are coated on indium tin oxide (ITO) and used as working electrode after immobilizing capture anti-CA125 on it. Second, gold nanoparticles (GNPs) tagged with cadmium ion (Cd2+) and another CA125 antibody is used as a probe for signal generation. A sandwich between gold nanorod-modified working electrode and GNP-based probe is formed through CA125 antigen. Direct detection of probe bound on the surface of immunosensor was done by differential pulse voltammetry (DPV) and the peak signals were directly proportional to the CA125 antigen concentration. The developed sensor has shown a detection limit of 3.4 U mL−1 with a broad linear detection range of 20–100 U mL−1. The immunosensor is stable, reproducible and has a good correlation coefficient of 0.97 for the clinical serum samples tested with the developed immunosensor and enzyme-linked immunosorbent assay (ELISA). It has the potential to detect CA125 in clinical samples which show abnormally high or low levels of CA125 in serum.

28 citations

Journal ArticleDOI
Abstract: Effective management of the groundwater resources became an important factor for the growth of urbanized areas, especially for the sector which has considerable agricultural and industrial activities. Along with quantity, assessment of the groundwater quality also plays an important role in its growth. Tandula watershed is one of the populated areas in the Balod district, Chhattisgarh state, which needs an assessment on the groundwater vulnerable zones for its effective management. The vulnerable zones of the study area have been assessed with the help of DRASTIC, DRASTIC–AHP, and modified DRASTIC–AHP methods. The models have been developed with the help of seven parameters which are depth to water, net recharge, aquifer media, soil media, topography, the impact of vadose zone, and hydraulic conductivity. The resulted groundwater pollution vulnerability in the study area has classified into five categories such as very low, low, moderate, high, and very high. Cross-comparison and validation of the model with 77 groundwater samples which contain Nitrate concentration were considered and concluded that the modified DRASTIC–AHP model is most accurate and suitable for the present study area. The study also revealed that groundwater in the study area is contaminated by Nitrate pollution due to excessive application of fertilizers in agricultural activities and improper sewage disposal.

28 citations

Journal ArticleDOI
TL;DR: In this paper, Al-doped ZnO nanoparticle thin films were prepared on glass substrate at the optimum temperature of (410±10) °C by spray pyrolysis technique using zinc nitrate as a precursor solution and aluminium chloride as a dopant.
Abstract: Department of Physics, Motilal Nehru National Institute of Technology, Allahabad-211 004, India Received 13 May 2011, revised 8 July 2011, accepted 11 July 2011 Published online 22 July 2011 Key words zinc oxide, nano-particle thin films, spray pyrolysis, structural properties, optical properties. Al-doped ZnO nanoparticle thin films were prepared on glass substrate at the optimum temperature of (410±10) °C by spray pyrolysis technique using zinc nitrate as a precursor solution and aluminium chloride as a dopant. The dopant concentration (Al/Zn at%) was varied from 0 to 2 at%. Structural analysis of the films shows that all the films are of polycrystalline zinc oxide in nature, possessing hexagonal wurtzite structure. The films exhibit variation in peak intensities corresponding to (100), (002) and (101) reflection planes on Al-doping. The crystallite size calculated by Scherrer formula has been found to be in the range of 35-65 nm. The optical absorption study shows that the optical band gap in the Al-doped films varies in the range of 3.11 – 3.22 eV. The width of localized states in the band gap estimated by the Urbach tail analysis has been found to be minimum in case of the 1 at% Al-doped zinc oxide thin film.

28 citations

Journal ArticleDOI
TL;DR: A simplified genetic algorithm based model is proposed that is applied on NASA software project dataset and shows better realistic estimation over the basic COCOMO model.

28 citations


Authors

Showing all 2547 results

NameH-indexPapersCitations
Santosh Kumar80119629391
Anoop Misra7038517301
Naresh Kumar66110620786
Munindar P. Singh6258020279
Arvind Agarwal5832512365
Mahendra Kumar542169170
Jay Singh513018655
Lalit Kumar4738111014
O.N. Srivastava4754810308
Avinash C. Pandey453017576
Sunil Gupta435188827
Rakesh Mishra415457385
Durgesh Kumar Tripathi371335937
Vandana Singh351904347
Prashant K. Sharma341743662
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
202284
2021728
2020587
2019532
2018423