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Institution

Indian Institute of Technology Bhubaneswar

EducationBhubaneswar, India
About: Indian Institute of Technology Bhubaneswar is a education organization based out in Bhubaneswar, India. It is known for research contribution in the topics: Large Hadron Collider & Higgs boson. The organization has 1185 authors who have published 3132 publications receiving 48832 citations.


Papers
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Journal ArticleDOI
TL;DR: It is found that the TM-TPP modes, formed at the interface of distributed Bragg reflector and metal, are strongly dispersive as compared to SPP modes at optical frequencies, which leads to highly accurate sensing.
Abstract: The transverse magnetic (TM) polarized hybrid modes formed as a consequence of coupling between Tamm plasmon polariton (TM-TPP) mode and surface plasmon polariton (SPP) mode exhibit interesting dispersive features for realizing a highly sensitive and accurate surface plasmon resonance (SPR) sensor. We found that the TM-TPP modes, formed at the interface of distributed Bragg reflector and metal, are strongly dispersive as compared to SPP modes at optical frequencies. This causes an appreciably narrow interaction bandwidth between TM-TPP and SPP modes, which leads to highly accurate sensing. In addition, appropriate tailoring of dispersion characteristics of TM-TPP as well as SPP modes could ensure high sensitivity of a novel SPR platform. By suitably designing the Au/TiO2/SiO2-based geometry, we propose a TM-TPP/SPP hybrid-mode sensor and achieve a sensitivity ≥900 nm/RIU with high detection accuracy (≥30 μm−1) for analyte refractive indices varying between 1.330 and 1.345 in 600–700 nm wavelength range. The possibility to achieve desired dispersive behavior in any spectral band makes the sensing configuration an extremely attractive candidate to design sensors depending on the availability of optical sources.

41 citations

Journal ArticleDOI
Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam, Federico Ambrogi  +2356 moreInstitutions (201)
Abstract: Measurements of the differential cross section for the Drell-Yan process, based on proton-proton collision data at a centre-of-mass energy of 13 TeV, collected by the CMS experiment, are presented. The data correspond to an integrated luminosity of 2.8 (2.3) fb−1 in the dimuon (dielectron) channel. The total and fiducial cross section measurements are presented as a function of dilepton invariant mass in the range 15 to 3000 GeV, and compared with the perturbative predictions of the standard model. The measured differential cross sections are in good agreement with the theoretical calculations.

41 citations

Journal ArticleDOI
TL;DR: In this paper, the influence of three inoculum treatment methods (i.e., heat treatment, ultrasonication, and air exposure) on suppressing methanogenesis while treating rice mill wastewater was compared.
Abstract: A major constraint to attaining higher power output from microbial fuel cell (MFC) is the loss of substrate due to methanogenesis. Controlling methanogenesis is imperative to enhance the coulombic efficiency (CE). This study compares the influence of three inoculum treatment methods i.e., heat-treatment (MFC1), ultrasonication (MFC2) and air exposure (MFC3), on suppressing methanogenesis while treating rice mill wastewater. MFC2 and MFC3 exhibited a maximum volumetric power density of 525.62 mW/m3 and 656.10 mW/m3, respectively, which were 1.7 and 2.1 times higher than that of MFC1. Similarly, CE of 9.27%, 14.14% and 17.21% was observed in MFC1, MFC2 and MFC3, respectively. MFC1 shown higher COD removal efficiency (85.22 ± 2.12%) than MFC2 (76.18 ± 1.36%), and MFC3 (71.88 ± 1.71%). Linear sweep voltammetry demonstrated enhanced electrochemical activity in MFC3 (peak current: 15.92 mA) compared to MFC2 (8.40 mA) and MFC1 (3.61 mA). An internal resistance of 294 Ω was observed in MFC3, which was lower than MFC2 (320 Ω ) and MFC1 (415 Ω ). Intermittent air exposure of the inoculum was found to be more effective for power generation in the MFC. The contribution of planktonic archaeal community towards power generation was studied by removing the suspended inoculum from the anode chamber of all the MFCs. The maximum power density obtained in sludge deprived condition in MFC1, MFC2 and MFC3 was 1.2, 1.4 and 1.2 times less than that obtained when MFCs were operated with suspended inoculum. The study concludes that suspended anaerobic sludge should be used after proper pre-treatment for improved electricity harvesting and efficient wastewater treatment.

40 citations

Journal ArticleDOI
TL;DR: In this paper, the impact of cloud-permitting resolution and improved representation of multiscale processes on the ability to predict rapid intensification and structure of Phailin (2013), one of the strongest tropical cyclones over Bay of Bengal.
Abstract: The study objective is to assess the impact of cloud-permitting resolution and improved representation of multiscale processes on the ability to predict rapid intensification (RI) and structure of Phailin (2013), one of the strongest tropical cyclones (TCs) over Bay of Bengal. The state-of-the-art Hurricane Weather Research and Forecasting (HWRF) modelling system is used with two different configurations. The first configuration uses a static domain of 27-km grid size with a movable nested domain of 9-km grid size (hereafter H2D). The second configuration has an additional movable nested domain of 3-km grid size (known as H3D) to resolve meso- and vortex-scale features respectively. The results clearly show the ability of the H3D system at cloud-permitting resolution (3-km) in predicting the TC movement, intensity and structure. The storm-to-vortex scale interaction in H3D allowed for better prediction of large-scale wind flow, low level wind asymmetry and PV tendency, and provided insight to improve track predictions. The vortex depth is another important factor and shallow vortex in the H2D run interacted differently with the large-scale environment and resulted in large track and intensity errors. Substantial gains are noticed in RI and structure prediction, mainly due to better simulation of diabatic heating, strong inflow, and moisture distribution in H3D, where the intensity errors are ≤11 knots (5.6 ms−1) up to 72-h forecast and, up to 40 knots (20.5 ms−1) in the H2D version. The upper-level warming is well resolved in the H3D as compared to H2D run. In summary, this study highlights the need for considering multiscale interactions and improved physics along with high resolution initialization to resolve convective processes in the vortex and to realistically predict track, structure, and intensity changes.

40 citations

Proceedings ArticleDOI
01 Jan 2016
TL;DR: A method to manufacture soil moisture sensor to estimate moisture content in soil hence by providing information about required water supply for good cultivation is presented.
Abstract: Persistent increase in population of world is demanding more and more supply of food. Hence there is a significant need of advancement in cultivation to meet up the future food needs. It is important to know moisture levels in soil to maximize the output. But most of farmers cannot afford high cost devices to measure soil moisture. Our research work in this paper focuses on home-made low cost moisture sensor with accuracy. In this paper we present a method to manufacture soil moisture sensor to estimate moisture content in soil hence by providing information about required water supply for good cultivation. This sensor is tested with several samples of soil and able to meet considerable accuracy. Measuring soil moisture is an effective way to determine condition of soil and get information about the quantity of water that need to be supplied for cultivation. Two separate methods are illustrated in this paper to determine soil moisture over an area and along the depth.

40 citations


Authors

Showing all 1220 results

NameH-indexPapersCitations
Gabor Istvan Veres135134996104
Márton Bartók7662226762
Kulamani Parida7046919139
Seema Bahinipati6552619144
Deepak Kumar Sahoo6243817308
Krishna R. Reddy5840011076
Ramayya Krishnan5219510378
Saroj K. Nayak491498319
Dipak Kumar Sahoo472347293
Ganapati Panda463568888
Raj Kishore451496886
Sukumar Mishra444057905
Mar Barrio Luna431795248
Chandra Sekhar Rout411837736
Subhransu Ranjan Samantaray391674880
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202329
202249
2021521
2020487
2019400
2018372