Institution
National Institute of Technology, Karnataka
Education•Mangalore, Karnataka, India•
About: National Institute of Technology, Karnataka is a education organization based out in Mangalore, Karnataka, India. It is known for research contribution in the topics: Corrosion & Cloud computing. The organization has 5017 authors who have published 7057 publications receiving 70367 citations.
Topics: Corrosion, Cloud computing, Microstructure, Alloy, Heat transfer
Papers published on a yearly basis
Papers
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TL;DR: This paper proposes a pioneer approach namely ADOMS (Anomaly Detection On Multilayer Social networks), an unsupervised, parameter-free, and network feature-based methodology, that automatically detects anomalous users in a multilayer social network and rank them according to their anomalousness.
54 citations
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TL;DR: In this paper, a finite element (FE) formulation is presented to assess the influence of porosity on the static responses and free vibration of functionally graded skew magneto-electro-elastic (FGSMEE) plate.
54 citations
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TL;DR: Five new series of imidazo[1,2-a]pyridines carrying biologically active pyrazoline, cyanopyridone and pyrimidine-2-thione systems showed potent anticonvulsant activity without displaying any toxicity.
54 citations
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16 Mar 2015TL;DR: Bat algorithm with the help of binary bat algorithm is used for scheduling workflow in a cloud using a metaheuristic approach called bat algorithm for optimizing hard problems.
Abstract: Workflow is one of the important aspects of cloud computing today. Cloud computing is one of the fastest growing technologies in the world. Workflows can be used in cloud as we use them in grid. Many operations in the cloud are based on workflow execution. Workflow systems are now becoming more complex and for such kind of systems efficient workflow management is important. Workflow scheduling is an important part of workflow management. Scheduling in general is NP-hard problem. To solve such kind of problems exhaustive methods cannot be used. Only non-exhaustive techniques can be used. In this paper we have used a metaheuristic approach called bat algorithm. Bat algorithm is specifically designed for optimizing hard problems. Here, bat algorithm with the help of binary bat algorithm is used for scheduling workflow in a cloud. Specifically the mapping of tasks and resources is done using this method. The optimal resources are selected such that the overall cost of the workflow is minimal.
54 citations
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TL;DR: In this article, a simple, economic, and facile approach for the synthesis of a novel reduced graphene oxide-zinc tungstate-iron oxide (RGO-ZnWO4-Fe3O4) nanocomposite by a one-pot microwave method and its efficiency as a catalyst in reducing 4-nitrophenol (4-NP) to 4-aminophenol using sodium borohydride (NaBH4).
Abstract: We report herein a simple, economic, and facile approach for the synthesis of a novel reduced graphene oxide-zinc tungstate-iron oxide (RGO-ZnWO4-Fe3O4) nanocomposite by a one-pot microwave method and its efficiency as a catalyst in reducing 4-nitrophenol (4-NP) to 4-aminophenol (4-AP) using sodium borohydride (NaBH4). The as-prepared RGO-ZnWO4-Fe3O4 nanocomposites were characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), Fourier transformed infrared spectroscopy (FTIR), Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS) techniques. The prepared nanocomposites showed excellent catalytic performance in the reduction of 4-NP to 4-AP. The reaction was completed in just 40 s at room temperature. The RGO in RGO-ZnWO4-Fe3O4 nanocomposite plays an essential role to improve the catalytic performance through facilitation of easy electron transfer and high adsorption of the substrate on graphene sheets. The synergistic eff...
54 citations
Authors
Showing all 5100 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ajay Kumar | 53 | 809 | 12181 |
Bhiksha Raj | 51 | 359 | 13064 |
Alexander P. Lyubartsev | 49 | 184 | 9200 |
Vijay Nair | 47 | 425 | 10411 |
Sukumar Mishra | 44 | 405 | 7905 |
Arun M. Isloor | 38 | 261 | 6272 |
Vinay Kumaran | 36 | 262 | 4473 |
M. C. Ray | 30 | 115 | 2662 |
Airody Vasudeva Adhikari | 30 | 119 | 2832 |
Ian R. Lane | 27 | 129 | 2947 |
D. Krishna Bhat | 26 | 95 | 1715 |
Anurag Kumar | 26 | 126 | 2276 |
Soma Biswas | 25 | 127 | 2195 |
Chandan Kumar | 25 | 66 | 1806 |
H.S. Nagaraja | 23 | 90 | 1609 |