Institution
Jaypee Institute of Information Technology
Education•Noida, 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 published on a yearly basis
Papers
More filters
••
01 Aug 2017TL;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
••
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
••
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
••
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
••
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
Name | H-index | Papers | Citations |
---|---|---|---|
Sanjay Gupta | 99 | 902 | 35039 |
Mohsen Guizani | 79 | 1110 | 31282 |
José M. Merigó | 55 | 361 | 10658 |
Ashish Goel | 50 | 205 | 9941 |
Avinash C. Pandey | 45 | 301 | 7576 |
Krishan Kumar | 35 | 242 | 4059 |
Yogendra Kumar Gupta | 35 | 183 | 4571 |
Nidhi Gupta | 35 | 266 | 4786 |
Anirban Pathak | 33 | 214 | 3508 |
Amanpreet Kaur | 32 | 367 | 5713 |
Navneet Sharma | 31 | 219 | 3069 |
Garima Sharma | 31 | 97 | 3348 |
Manoj Kumar | 30 | 108 | 2660 |
Rahul Sharma | 30 | 189 | 3298 |
Ghanshyam Singh | 29 | 263 | 2957 |