Institution
Thapar University
Education•Patiāla, Punjab, India•
About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Computer science & Cloud computing. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.
Papers published on a yearly basis
Papers
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TL;DR: A multi-leader multi-follower Stackelberg game for energy trading is proposed by assuming EVs as the consumers and CSs as energy providers, and a dynamic pricing scheme designed by taking parameters such as electricity usage, time-of-use, location, and type of EVs.
53 citations
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TL;DR: From the experimental results, it has been found that the proposed adaptive salp swarm algorithm is highly competitive and provides better results when compared with bat algorithm, grey wolf optimization, teacher learning based algorithm, dragonfly algorithm and others.
53 citations
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TL;DR: In this paper, the effect of steel fibres (0.5%, 1.0% and 1.5% by volume) on rheological properties of self-compacting concrete (SCC) made with class F fly ash and hooked steel fibers was investigated.
53 citations
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TL;DR: This work has used the concepts of learning automata and game theory to propose Bayesian coalition game as-aservice for intelligent context-switching of VMs to reduce the energy consumption, so that clients can execute their services without a performance degradation.
Abstract: To provide computing and communication services to mobile clients, vehicular mobile cloud computing has gained lot of attention in recent times. However, one of the biggest challenges for the smooth execution of these services in this environment is the intelligent usage of VMs which may be overloaded due to numerous requests from mobile clients such as vehicles and mobile devices to access these services. However, poor utilization of VMs in this environment causes a lot of energy to be wasted. To address this issue, we propose Bayesian coalition game as-aservice for intelligent context-switching of VMs to support the above defined services in order to reduce the energy consumption, so that clients can execute their services without a performance degradation. In the proposed scheme, we have used the concepts of learning automata (LA) and game theory in which LA are assumed as the players such that each player has an individual payoff based upon the energy consumption and load on the VM. Players interact with the stochastic environment for taking action such as the selection of appropriate VMs and based upon the feedback received from the environment, they update their action probability vector. The performance of the proposed scheme is evaluated by using various performance evaluation metrics such as context-switching delay, overhead generated, execution time, and energy consumption. The results obtained show that the proposed scheme performs well with respect to the aforementioned performance metrics. Specifically, using the proposed scheme there is a reduction of 10 percent in energy consumption, 12 percent in network delay, 5 percent in overhead generation, and 10 percent in execution time.
53 citations
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TL;DR: It is suggested that P. cypripedii and P. plecoglossicida along with RP play an important role in improving crop productivity in organic farming.
Abstract: In the present study, two phosphate-solubilizing bacteria Pantoea cypripedii and Pseudomonas plecoglossicida isolated from an organic field were tested for their efficacy to solubilize rock phosphate (RP) and other plant growth-promoting activities such as nitrogen fixation and the production of indole acetic acid (IAA) and siderophores. Both of the bacteria effectively solubilized RP and released significant amount of phosphorous (up to 271 µg P ml–1) in the culture medium. These isolates produced IAA and siderophores and failed to fix nitrogen as determined by acetylene reduction. Two-year field study was conducted to test the efficacy of these bacteria on the growth and yield of maize and wheat crops grown in organic farm with and without RP. Field trials for both crops were conducted in a completely randomized block design consisting of six treatments and each treatment with triplicates. Significant increase in growth parameters, grain yield, total P uptake, and soil fertility in context of organic ca...
53 citations
Authors
Showing all 3035 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gaurav Sharma | 82 | 1244 | 31482 |
Vinod Kumar | 77 | 815 | 26882 |
Neeraj Kumar | 76 | 587 | 18575 |
Ashish Sharma | 75 | 909 | 20460 |
Dinesh Kumar | 69 | 1333 | 24342 |
Pawan Kumar | 64 | 547 | 15708 |
Harish Garg | 61 | 311 | 11491 |
Rafat Siddique | 58 | 183 | 11133 |
Surya Prakash Singh | 55 | 736 | 12989 |
Abhijit Mukherjee | 55 | 378 | 10196 |
Ajay Kumar | 53 | 809 | 12181 |
Soumen Basu | 45 | 247 | 7888 |
Sudeep Tanwar | 43 | 263 | 5402 |
Yosi Shacham-Diamand | 42 | 287 | 6463 |
Rupinder Singh | 42 | 458 | 7452 |