scispace - formally typeset
Search or ask a question
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
More filters
Proceedings ArticleDOI
18 Nov 2010
TL;DR: This paper discusses the modeling of single-diode photovoltaic cell to estimate the maximum power with respect to changes in environmental factors that effects its efficiency performance.
Abstract: This paper discusses the modeling of single-diode photovoltaic cell to estimate the maximum power with respect to changes in environmental factors that effects its efficiency performance. The parameters, i.e. resistances for the modeling of PV cell are determined for nonlinear I-V characteristics to replicate the maximum power point. These values are determined at various environmental factors like; dust, solar radiation intensity, shadow, temperature and wind velocity.

23 citations

Journal ArticleDOI
TL;DR: In this paper, the concentration of Mg (0-5 atomic percent (at. %)) in buffer layer was optimized to examine its effect on ZnO thin film based devices for electronic and optoelectronic applications.

23 citations

Journal ArticleDOI
TL;DR: In this paper, Montmorillonite (Mt) was used to remove copper (Cu2+) ion from wastewater stream generated from industrial effluents, and this clay was modified by using an amine-based solvent, trioctylamine (TOA).
Abstract: Montmorillonite (Mt) was used to remove copper (Cu2+) ion from wastewater stream generated from industrial effluents. This clay was modified (Mt-TOA) by using an amine-based solvent, trioctylamine (TOA). Equilibrium and kinetic experiments were carried out to determine the effect of adsorbent amount (w, 0.05 g to 0.3 g for Mt, 0.001 to 0.006 g for Mt-TOA), initial Cu2+ ion concentration (C0, 8 mg·L–1 to 16 mg·L–1), pH (2 to 10), and contact time (t, 10 to 90 min) on the capacity of both adsorbents. With an increase in the adsorbent amount, the uptake capacity of Mt and Mt-TOA for Cu2+ ion was found to decrease but with an enhancement in the removal efficiency. The optimum amount of Mt and Mt-TOA was found to be 0.1 and 0.001 g, respectively. A better adsorption of Cu2+ ion was observed at low pH value of aqueous solution, and was found to decrease with an increase in the value of pH. In the kinetic experiments, the amount removal of Cu2+ ion reached to a constant value of 75.62 % with Mt (0.1 g) and 80.12...

23 citations

Journal ArticleDOI
TL;DR: In this article, the buckling behavior of simply supported and clamped thin rectangular isotropic plates having central circular cutouts subjected to uniaxial partial edge compression was investigated.
Abstract: Purpose – The purpose of this paper is to present elastic buckling behaviour of simply supported and clamped thin rectangular isotropic plates having central circular cutouts subjected to uniaxial partial edge compression. Analysis is carried out for four different kinds of partial edge compression and it is extended to study the effect of aspect ratio of plate on buckling load.Design/methodology/approach – A finite element method technique is used in the current work to solve the buckling problem of plate using eight node quadrilateral element and plate kinematics based on first order shear deformation theory. Results obtained from finite element analysis are first validated for isotropic square plates, without cutouts, subjected to uniaxial partial edge compression with some earlier published literature.Findings – From the current work it is concluded that the buckling strength of square plates is highly influenced by partial edge compression, as compared to plate subjected to uniform edge compression; ...

23 citations

Book ChapterDOI
01 Jan 2012
TL;DR: Present work utilized temporal patterns extracted from temporal observations of annual peak series using wavelet theory to predict the flood event comparable to statistical approach, and limited performance evaluation of the methodology show potential application of the developed methodology.
Abstract: The observation of peak flows into river or stream system is not straight forward but complex function of hydrology and geology of the region. There are well established statistical approach to predict the flood events with their magnitude and frequency. Development of models based on temporal observations may improve understanding the underlying hydrological processes in such complex phenomena. Present work utilized temporal patterns extracted from temporal observations of annual peak series using wavelet theory. These patterns are then utilized by an artificial neural network (ANN). The wavelet-ANN conjunction model is then able to predict the flood event comparable to statistical approach. The application of the proposed methodology is illustrated with real data. The limited performance evaluation of the methodology show potential application of the developed methodology.

23 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
Network Information
Related Institutions (5)
National Institute of Technology, Rourkela
10.7K papers, 150.1K citations

94% related

Indian Institute of Technology Roorkee
21.4K papers, 419.9K citations

93% related

Indian Institute of Technology Delhi
26.9K papers, 503.8K citations

91% related

Birla Institute of Technology and Science
13.9K papers, 170K citations

91% related

Indian Institute of Technology Guwahati
17.1K papers, 257.3K citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
202284
2021728
2020587
2019532
2018423