Institution
Chandigarh University
Education•Mohali, 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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TL;DR: In this paper , the electrochemical performance of linuron (LNR) was studied by fabricating the carbon paste electrode (CPE) using multiwalled carbon nanotubes (MWCNTs) along with zinc oxide (ZnO) nanoparticles (MWCNTs/ZnOs/CPE).
27 citations
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20 May 2019TL;DR: A blockchain inspired smart and scalable ledger framework which does not require much computational complexity is designed for secure peer-to-peer energy trading in SG ecosystem and the results obtained depict the superiority of SmartChain in contrast to the conventional blockchain process.
Abstract: Smart grid (SG) provides a peer-to-peer energy trading mechanism wherein the electric vehicles (EVs) can trade for energy with their peers using the information and communication technologies However, the dependence on third party for coordinating the energy trading decisions leads to a bottleneck for any distributed environment Therefore, blockchain technology can provide a privacy-preserving and effective consensus mechanism without the control of trusted third party Although blockchain provides inherent secure framework for transactional process, but the this security is because of computational complexity enforced In SG environment, the conventional blockchain process could not be employed due to limited computational resources with EVs, which makes it difficult to solve the tough computational puzzles to validate the transactions On the other hand, any compromise on the computation difficulty makes it more vulnerable to various types of attacks Therefore, in this paper, SmartChain: a blockchain inspired smart and scalable ledger framework which does not require much computational complexity is designed for secure peer-to-peer energy trading in SG ecosystem The proposed framework is evaluated using the parameters such as execution and validation time The results obtained depict the superiority of SmartChain in contrast to the conventional blockchain process
27 citations
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TL;DR: In this paper, a method for the synthesis of silver nanoparticles via a green route using alginate-guar gum blend (GG-Alg@Ag) and their application to degrade methylene blue (MB) dye was presented.
Abstract: The green mechanism for the synthesis of nanoparticles and their application to the wastewater treatment is of inordinate curiosity to the research community. Herein we outline a novel method for the synthesis of silver nanoparticles via a green route using alginate-guar gum blend (GG-Alg@Ag) and their application to degrade methylene blue (MB) dye. The synthesized material was characterized by FTIR, XRD, SEM-EDX, TEM, TGA-DTG, AFM, and UV-vis techniques. A combination of RSM and CCD was employed to compute the system and optimized values of various interacting parameters such as exposure time (120 min), pH (4.98), dye concentration (194 mg L−1), and catalyst dose (0.07 g) with a photodegradation capacity of 92.33% and desirability 1.0. The mechanism of degradation reaction was best elucidated by the pseudo-second-order model suggesting chemical deposition of MB on the GG-Alg@Ag surface through followed by the reduction mechanism in the occupancy of visible light. The optical studies indicated a value of 2.5 eV by Tauc's plot for bandgap energy (Eg) for GG-Alg@Ag bionanocomposite.
27 citations
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TL;DR: In this paper, the replacement of Fe 3+ ions by rare-earth Nd 3 + ions and their influence on the cations distribution, structural, magnetic and Mossbauer properties of Mg-Mn nanoferrites were investigated.
27 citations
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TL;DR: Simulation outcomes indicate that the proposed Cuckoo search optimization algorithm using a fuzzy type-2 logic-based clustering strategy outperforms other communication techniques in the context of the successful elimination of malicious nodes along with energy consumption, stability period, and network lifetime.
Abstract: With the advancement of communication and sensor technologies, it has become possible to develop low-cost circuitry to sense and transmit the state of surroundings Wireless networks of such circuitry, namely wireless sensor networks (WSNs), can be used in a multitude of applications like healthcare, intelligent sectors, environmental sensing, and military defense The crucial problem of WSN is the reliable exchange of data between different sensors and efficient communication with the data collection center Clustering is the most appropriate approach to prolong the performance parameters of WSN To overcome the limitations in clustering algorithms such as reduced cluster head (CH) lifetime; an effective CH selection algorithm, optimized routing protocol, and trust management are required to design an effective WSN solution In this paper, a Cuckoo search optimization algorithm using a fuzzy type-2 logic-based clustering strategy is suggested to extend the level of confidence and hence network lifespan In intra-cluster communication, a threshold-based data transmission algorithm is used and a multi-hop routing scheme for inter-cluster communication is employed to decrease dissipated energy from CHs far away from BS Simulation outcomes indicate that the proposed strategy outperforms other communication techniques in the context of the successful elimination of malicious nodes along with energy consumption, stability period, and network lifetime
27 citations
Authors
Showing all 1533 results
Name | H-index | Papers | Citations |
---|---|---|---|
Neeraj Kumar | 76 | 587 | 18575 |
Rupinder Singh | 42 | 458 | 7452 |
Vijay Kumar | 33 | 147 | 3811 |
Radha V. Jayaram | 32 | 114 | 3100 |
Suneel Kumar | 32 | 180 | 5358 |
Amanpreet Kaur | 32 | 367 | 5713 |
Vikas Sharma | 31 | 145 | 3720 |
Munish Kumar Gupta | 31 | 192 | 3462 |
Vijay Kumar | 30 | 113 | 2870 |
Shashi Kant | 29 | 160 | 2990 |
Sunpreet Singh | 29 | 153 | 2894 |
Gagangeet Singh Aujla | 28 | 109 | 2437 |
Deepak Kumar | 28 | 273 | 2957 |
Dilbag Singh | 27 | 77 | 1723 |
Tejinder Singh | 27 | 162 | 2931 |