Institution
Bishop Heber College
About: Bishop Heber College is a based out in . It is known for research contribution in the topics: Thin film & Band gap. The organization has 548 authors who have published 692 publications receiving 7144 citations.
Topics: Thin film, Band gap, Cyclic voltammetry, Nanocomposite, Soliton
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a two-step process using e-beam evaporation and spray pyrolysis deposition was adopted for the synthesis of hybrid MnO 2 /F-MWCNT/Ta electrodes.
13 citations
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01 Jan 202013 citations
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29 May 2021
TL;DR: In this paper, the soxhlet extract of grape seed was found to be a cost-effective reducing agent for the preparation of GRGO, which is a suitable material to be used in supercapacitors and photocatalysis.
Abstract: The grape extract is a potential natural reducing agent because of its high phenolic content. The extracts of seeds, skin, and pulp of grape were prepared by digestion, grinding, and soxhlet methods and used for reducing graphene oxide (GO). The reduced GO made using the soxhlet extract of grape seed (GRGO) was hydrothermally treated with titanium dioxide (TiO2) for the synthesis of GRGO-TiO2 nanocomposite. The X-ray diffraction (XRD), thermogravimetric analysis (TGA), Fourier transform infrared (FT-IR), UV-vis, photoluminescence, and Raman spectra studies further confirmed the formation of GRGO and the GRGO-TiO2 hybrid. Scanning electron microscope and transmission electron microscope studies showed the decoration of spherical TiO2 particles ( 400 nm), GRGO-TiO2 showed ∼30% higher photo-oxidation of the bromophenol blue (BPB) dye than TiO2. Also, GRGO-TiO2 decreased the total organic carbon content of BPB from 92 to 18 ppm. Overall, the soxhlet extract of grape seed was found to be a cost-effective reducing agent for the preparation of GRGO, which is a suitable material to be used in supercapacitors and photocatalysis.
13 citations
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TL;DR: The objectives of this paper are to propose a novel technique to predict reason(s) for deterioration in the QoS and to identify the algorithm/mechanism responsible for the deterioration and to improve the performance of the network.
Abstract: The present and future high-speed networks are expected to support wide variety real-time applications. However, the current Internet architecture offers mainly best-effort service. It means that the network will do its best to deliver the data at the destination without any guarantee. But the future integrated services networks will require guarantee for transferring heterogeneous data. There are many parameters involved in improving the Quality of Service (QoS). QoS is a set of service requirements to be met by the network while transporting a flow. In this paper, we consider four primary parameters are such as reliability, delay, jitter, bandwidth which together determine the QoS. The requirements of the above parameters will vary from one application to another application. Applications like file transfer, remote login, etc., will require high reliability. But, applications like audio, video, etc., will require low reliability, because they can tolerate errors. The objectives of this paper are to propose a novel technique to predict reason(s) for deterioration in the QoS and to identify the algorithm(s)/mechanism(s) responsible for the deterioration. We are sure that this paper will give better results to improve the QoS and to improve the performance of the network.
13 citations
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TL;DR: It is proved that the numerical approximations generated by this method are essentially first order convergent in the maximum norm at all points of the domain, uniformly with respect to the singular perturbation parameter.
13 citations
Authors
Showing all 548 results
Name | H-index | Papers | Citations |
---|---|---|---|
Munirpallam A. Subramanian | 47 | 275 | 15124 |
Mani Govindasamy | 31 | 74 | 2144 |
John J. H. Miller | 29 | 215 | 3995 |
Caitlin Ravichandran | 25 | 58 | 2459 |
Pachagounder Sakthivel | 22 | 121 | 1590 |
T. Kanna | 21 | 62 | 1475 |
C. Ravidhas | 16 | 34 | 917 |
T.C. Sabari Girisun | 16 | 74 | 904 |
Princy Merlin Johnson | 13 | 21 | 508 |
V. Sivasankar | 13 | 18 | 529 |
K. Karthick | 13 | 33 | 435 |
K. Sakkaravarthi | 12 | 26 | 318 |
J. Princy Merlin | 11 | 32 | 387 |
Jeevaraj Theboral | 11 | 15 | 334 |
K. Vijayalakshmi | 11 | 38 | 456 |