Institution
Delhi Technological University
Education•New Delhi, India•
About: Delhi Technological University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 4427 authors who have published 6761 publications receiving 71035 citations. The organization is also known as: Delhi College of Engineering & DTU.
Topics: Computer science, Control theory, Artificial neural network, Photovoltaic system, Deep learning
Papers published on a yearly basis
Papers
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TL;DR: Results of the studies relating to the fabrication and characterization of a conducting polymer based molecularly imprinted para-nitrophenol (PNP) sensor reveal a lower detection limit, improved sensitivity as 1.5×10(-3) A mM(-1) and stability of 45 days.
44 citations
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TL;DR: It was found that the formation of nanoparticles might depend upon the sonication time, solvent, and stirring time, and it was concluded that such type of nanoparticle may be used in pharmaceutical and drug delivery.
44 citations
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01 Nov 2016-Microsystem Technologies-micro-and Nanosystems-information Storage and Processing Systems
TL;DR: In this article, a transparent gate recessed channel MOSFET (TGRC-MOSFet) is proposed to alleviate the hot carrier effects for the advanced nanometer process.
Abstract: In this paper, a novel device structure called transparent gate recessed channel MOSFET (TGRC-MOSFET) is proposed to alleviate the hot carrier effects for the advanced nanometer process. TGRC-MOSFET involving a recessed channel and incorporates indium tin oxide as a transparent gate. TCAD analysis shows that the performance of TGRC-MOSFET surpasses conventional recessed channel (CRC)-MOSFET in terms of high ION/IOFF ratio and better carrier transport efficiency in comparison to CRC-MOSFET. This simulation divulges the reduction in hot-carrier-effects metrics like electron velocity, electron temperature, potential, and electron mobility. Furthermore, the effect of gate length is observed on the analog behavior of TGRC-MOSFET. All the simulations have been done using DEVEDIT-3D and ATLAS device simulator. The work proposes the novel design for reduced hot carrier and low power switching applications.
44 citations
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TL;DR: In this paper, the degradation of amoxicillin (AMX) using TiO2 photocatalysis and sono-photocatalysis in aqueous solution under UV-A (365 nm) and sunlight exposure was investigated.
Abstract: The present study investigates the degradation of amoxicillin (AMX) using TiO2 photocatalysis and sono-photocatalysis in aqueous solution under UV-A (365 nm) and sunlight exposure. The photocatalysis, as well as sono-photocatalysis, were coupled with H 2 O2 as well to assess the improvement in the degradation of AMX. Response surface methodology (RSM) based on three-level and four variable Box–Behnken experiment design was used to analyse and validate the degradation of AMX. Upon comparison of observed values with predicted, the value of the coefficient of regression (R2) was 0.87 which indicate the good fit of the model. The optimum conditions for maximum degradation (80%) of AMX were AMX - 30mg/l, TiO2 dosage - 450mg/l, H 2 O2 concentration — 150 mg/l and pH — 7.0 under UV irradiation (672 W/m2). Significant improvement in rate kinetics of degradation was observed when photocatalysis was complemented with H 2 O2 and sonication (40 KHz) under optimized condition, but the maximal removal remained almost unaffected. The method proved efficient towards degradation of AMX in real pharmaceutical wastewater with reduced reaction time for targeted level treatment. It was concluded that photocatalysis is a potential method for degradation of AMX under the set optimized conditions, and it may be adopted in-silo since photocatalysis coupled with sonication becomes energy-prohibitive for degradation of AMX.
43 citations
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13 May 2013TL;DR: A comparative analysis of Particle Swarm Optimization (PSO) and Firefly Algorithm (FFA) in detail along with simulation results carried out on some standard benchmark functions are carved out.
Abstract: With the help of evolutionary concepts and behavior of biotic components of nature, many optimization algorithms were developed. Optimization techniques like Particle Swarm Optimization and Firefly Algorithms are among the latest research topics. Several advancements have also been made in these algorithms. This paper carves out a comparative analysis of Particle Swarm Optimization (PSO) and Firefly Algorithm (FFA) in detail along with simulation results carried out on some standard benchmark functions.
43 citations
Authors
Showing all 4530 results
Name | H-index | Papers | Citations |
---|---|---|---|
Shaji Kumar | 111 | 1265 | 53237 |
Lars A. Buchhave | 105 | 408 | 46100 |
Anil Kumar | 99 | 2124 | 64825 |
Bansi D. Malhotra | 75 | 375 | 19419 |
C. P. Singh | 68 | 337 | 17448 |
Ramesh Chandra | 66 | 620 | 16293 |
Rajiv S. Mishra | 64 | 591 | 22210 |
William W. Craig | 58 | 316 | 14311 |
S.G. Deshmukh | 56 | 183 | 11566 |
Jay Singh | 51 | 301 | 8655 |
Neeraj Kumar | 50 | 207 | 7670 |
Erling Halfdan Stenby | 50 | 285 | 8500 |
Devendra Singh | 49 | 314 | 10386 |
Federico Calle-Vallejo | 46 | 113 | 11239 |
Rajesh Singh | 46 | 692 | 10339 |