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Institution

Jaypee Institute of Information Technology

EducationNoida, Uttar Pradesh, India
About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.


Papers
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Proceedings ArticleDOI
01 Aug 2017
TL;DR: This work proposes a Quantum Genetic Algorithm with Rotation Angle Refinement (QGARAR) for optimum schedule generation and is compared with its peers under various test conditions to account for minimization of the makespan value of dependent jobs submitted for execution on heterogeneous distributed systems.
Abstract: Distributed systems are efficient means of realizing High-Performance Computing (HPC). They are used in meeting the demand of executing large-scale high-performance computational jobs. Scheduling the tasks on such computational resources is one of the prime concerns in the heterogeneous distributed systems. Scheduling jobs on such systems are NP-complete in nature. Scheduling requires either heuristic or metaheuristic approach for sub-optimal but acceptable solutions. An application can be divided into a number of tasks which can be represented as Direct Acyclic Graph (DAG). To accomplish high performance, it is important to efficiently schedule these dependent tasks on resources with the satisfaction of the constraints defined for schedule generation. Inspired by Quantum computing, this work proposes a Quantum Genetic Algorithm with Rotation Angle Refinement (QGARAR) for optimum schedule generation. In this paper, the proposed QGARAR is compared with its peers under various test conditions to account for minimization of the makespan value of dependent jobs submitted for execution on heterogeneous distributed systems.

15 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used potential energy scans for various rotable bonds to obtain the lowest energy conformer, conformational analysis was achieved, and charge delocalization patterns and second-order perturbation energies of the most interacting natural bond orbitals were also computed and predicted from wavefunction analysis.

15 citations

Journal ArticleDOI
TL;DR: In this paper, a cubic spinel structure of space group Fd3m with a narrow size distribution from 13 to 24 nm was crystallized by wet chemical co-precipitation method.
Abstract: Ni1−x Co x Fe2O4 nanoparticles with x = 0.0, 0.1, 0.2, 0.3, 0.4, 0.5 (named NC0, NC10, NC20, NC30, NC40, and NC50, respectively) were synthesized by wet chemical co-precipitation method. The prepared nanoparticles were crystallized in the cubic spinel structure of space group Fd3m with a narrow size distribution from 13 to 24 nm. The saturation magnetization was strongly influenced with Co2+ concentrations. The cation distribution, the spin canting, and the presence of Fe2+ ions along with Fe3+ ions were responsible for the variation in saturation magnetization. Cation distribution estimated from saturation magnetization suggested the mixed spinel structure of Ni1−x Co x Fe2O4 system. The calculated g values from electron spin resonance spectra were consistent with the variation of saturation magnetization. UV–vis diffuse spectra indicated that Ni1−x Co x Fe2O4 samples were indirect band gap materials and band gap decreased with increasing Co2+ concentration. Dielectric constant and dielectric loss showed frequency-dependent dispersion along with enhancement dielectric constant with increasing Co2+ concentration. The complex impedance analysis confirmed that the conduction process predominantly takes place through grain boundaries.

15 citations

Journal ArticleDOI
TL;DR: Improved physicochemical properties and growth kinetics obtrude CS/PVA (1.5:1) as a potential surface for adhesion and proliferation with possible application in single use membrane bioreactors is proposed.

15 citations

Journal ArticleDOI
TL;DR: Close-form expressions for system-length distributions in terms of roots outside the unit disk of the characteristic equation of the BMAP/R/1 queue are presented and it is shown that the computation-time of the proposed method does not depend upon the parameters like traffic intensity and correlation co-efficient.

15 citations


Authors

Showing all 2176 results

NameH-indexPapersCitations
Sanjay Gupta9990235039
Mohsen Guizani79111031282
José M. Merigó5536110658
Ashish Goel502059941
Avinash C. Pandey453017576
Krishan Kumar352424059
Yogendra Kumar Gupta351834571
Nidhi Gupta352664786
Anirban Pathak332143508
Amanpreet Kaur323675713
Navneet Sharma312193069
Garima Sharma31973348
Manoj Kumar301082660
Rahul Sharma301893298
Ghanshyam Singh292632957
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202258
2021401
2020395
2019464
2018366