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Institution

Chandigarh University

EducationMohali, India
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.


Papers
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Journal ArticleDOI
TL;DR: The comparative genome study revealed presence of plant induced nitrilase in AC40 which is predicted for its role in IAA biosynthesis, release of ammonia, biotransformation of nitrile compounds to corresponding acids and bioremediation of soil containing nitriles compounds.

14 citations

Proceedings ArticleDOI
07 Mar 2019
TL;DR: The effects of rain, snow and fog on the performance of FSO link has been analyzed in terms of attenuation coefficient along with the study of turbulent nature of free space optical communication link employing Gamma-Gamma Turbulence Model.
Abstract: Free Space Optical (FSO) Communication is the transmission of data using optical beam through free space. It requires the line of sight condition to be maintained between the transmitter and receiver in order to transmit data. High data rates, license-free spectrum and low deployment cost are some of the advantages of FSO link. But the attenuation due to atmospheric conditions is a major factor responsible for the degradation of performance of FSO link. Depending upon the weather conditions of a particular place, the performance of FSO system varies accordingly. So in this paper, we have analysed the attenuation coefficient for different weather conditions. The effects of rain, snow and fog on the performance of FSO link has been analyzed in terms of attenuation coefficient along with the study of turbulent nature of free space optical communication link employing Gamma-Gamma Turbulence Model.

14 citations

Journal ArticleDOI
TL;DR: In this article, compositional dependent local structure, thermal stability, crystallization kinetics and electrical conductivity are investigated through various techniques, such as X-ray diffraction, FT-IR and Raman studies, which indicate that a crystalline peak of Cu 1.8 S is observed in all the glass samples.
Abstract: The x CuS-45P 2 S 5 -(55 − x )Na 2 S (mol% 2.5 ≤ x ≤ 10) glasses are synthesized through melt-quench method. Compositional dependent local structure, thermal stability, crystallization kinetics and electrical conductivity are investigated through various techniques. X-ray diffraction showed that a crystalline peak of Cu 1.8 S is observed in all the glass samples. The intensity of Cu 1.8 S peak increases with the addition of CuS in the glass samples. The de-polymerization of phosphate structural units from Q 2 → Q 1 → Q 0 is observed by increasing CuS content, as evidenced from FT-IR and Raman studies. The glass transition temperature ( T g ) and crystallization temperature ( T c ) peaks shift towards higher temperature with increased CuS content. This phenomenon indicates that the thermal stability of the glass samples enhanced with increase in CuS content. The crystallization kinetics is investigated using Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods. It is observed that the trend of activation energies remains identical in both crystallization zones, as calculated from both methods. The mechanism involved during the crystallization of glass samples is proposed by evaluating Local Avrami exponent (LAEX). The room temperature electrical conductivities were measured and the maximum value of ac (2.86 × 10 − 4 S cm − 1 ) and dc (3.85 × 10 − 5 S cm − 1 ) conductivities were obtained for 10CuS-45P 2 S 5 -45Na 2 S glass sample. The dielectric response of the sample was also investigated and the dielectric constant was found maximum for 10CuS-45P 2 S 5 -45Na 2 S glass sample.

14 citations

Journal ArticleDOI
01 Apr 2021
TL;DR: In this article, the authors proposed a facial recognition based automated user management system with active learning features, the proposed system uses a combination of a couple of technologies to build such a system for user keeping which is foolproof and secure it also adds active learning to counter the problem of changing faces in youngsters.
Abstract: Face recognition is the most advanced way of authentication and authorization and it has been developed a lot since the last decade and such systems are now popular in fields such as security and commerce. This work revolves around facial recognition based automated user management system with active learning features the proposed work uses a combination of a couple of technologies to build such a system for user keeping which is foolproof and secure it also adds active learning to counter the problem of changing faces in youngsters. The system is recommended for schools, universities, corporate offices, and prisons.

14 citations


Authors

Showing all 1533 results

NameH-indexPapersCitations
Neeraj Kumar7658718575
Rupinder Singh424587452
Vijay Kumar331473811
Radha V. Jayaram321143100
Suneel Kumar321805358
Amanpreet Kaur323675713
Vikas Sharma311453720
Munish Kumar Gupta311923462
Vijay Kumar301132870
Shashi Kant291602990
Sunpreet Singh291532894
Gagangeet Singh Aujla281092437
Deepak Kumar282732957
Dilbag Singh27771723
Tejinder Singh271622931
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023116
2022182
2021893
2020373
2019233
2018174