Institution
National Institute of Technology, Meghalaya
Education•Shillong, India•
About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Computer science. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.
Papers
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TL;DR: In this paper, photoswitchable acylhydrazone derivatives, Ac-1 and Ac-2, were reported to respond to light as well as to mechanical force. But they only exhibited a single mechanical response to a single input stimulus.
Abstract: The advancement of our understanding of stimuli-responsive molecular crystals has led to the realization that they hold great yet unexplored potential as adaptive materials. Although molecular crystals that exhibit a single mechanical response to a single input stimulus are now abundant, crystals that are capable of response to multiple stimuli are rather scarce. Here we report two photoswitchable acylhydrazone derivatives, Ac-1 and Ac-2, which respond to light as well as to mechanical force. Upon application of localized mechanical stress, the anhydrous (Ac-1a) and monohydrate (Ac-1h) crystals of Ac-1 undergo plastic shearing deformation and bending, whereas monohydrate crystals of Ac-2 undergo elastic deformation. When they are exposed to UV light, crystals of Ac-1h and Ac-2 undergo photoinduced bending; on the other hand, crystals of Ac-1a and thicker crystals of Ac-2 exhibit photosalient effect (light-induced leaping). It is demonstrated that the synergistic action of multiple stimuli (UV light and fo...
42 citations
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TL;DR: It is concluded that it is better to estimate wavelet coefficients rather than pixels, which allows a CNN with far fewer samples and lesser training time to achieve better reconstruction quality with lesser run time compared to a recent state-of-the-art technique that directly estimates the HR pixels using a CNN.
42 citations
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TL;DR: This paper investigates the feasibility of energy minimization at the fog layer through intelligent sleep and wake-up cycles of the fog nodes which are context-aware, and proposes a virtual machine management approach for effectively allocating service requests with a minimal number of active fog nodes using a genetic algorithm.
42 citations
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41 citations
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TL;DR: An anomalous nature of Raman spectral asymmetry has been reported from silicon nanowires (SiNWs) prepared from a heavily doped p-type Si wafer using a metal induced etching technique as discussed by the authors.
Abstract: An anomalous nature of Raman spectral asymmetry has been reported here from silicon nanowires (SiNWs) prepared from a heavily doped p-type Si wafer using a metal induced etching technique. Raman spectra of SiNWs prepared from two p-type Si wafers with different doping levels show different behaviors in terms of asymmetry as characterized by the asymmetry ratio. The SiNWs prepared from high doped p-type wafer show an anomaly in asymmetry in addition to the red shift and broadening of the Raman line shape due to the presence of the “FAno-quaNTUM” (FANTUM) effect. The heavy doping in the wafer provides a continuum of energy states to be available to interact with confined optic phonons which results in electron–phonon interaction. SiNWs prepared from low doped p-type wafer show a red shift and asymmetric broadening due to the quantum confinement effect alone. Careful analysis has been provided to clearly understand the role of Fano and quantum effects in p-type SiNWs with high doping and their relative contr...
41 citations
Authors
Showing all 517 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sudip Misra | 48 | 535 | 9846 |
Robert Wille | 43 | 457 | 6881 |
Paul C. van Oorschot | 41 | 150 | 21478 |
Sourav Das | 30 | 174 | 4026 |
Mukul Pradhan | 23 | 53 | 1990 |
Bibhuti Bhusan Biswal | 20 | 155 | 1413 |
Naba K. Nath | 20 | 39 | 1813 |
Atanu Singha Roy | 19 | 48 | 1071 |
Akhilendra Pratap Singh | 19 | 99 | 1775 |
Abhishek Singh | 19 | 107 | 1354 |
Vinay Kumar | 19 | 130 | 1442 |
Dipankar Das | 19 | 67 | 1904 |
Gayadhar Panda | 18 | 123 | 1093 |
Gitish K. Dutta | 16 | 26 | 1168 |
Kamalika Datta | 15 | 69 | 676 |