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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: In this paper, the peak absorbance changes with sucrose refractive index and the sensitivity of 2.288 ΔA/RIU has been obtained i.e. the peak absorbsance changes by 75.78% with 0.0395 change in refractive indices of sucrose.
Abstract: Optical fibre based localized surface plasmon resonance (LSPR) sensor using graphene oxide (GO) encapsulated Au nanoparticles has been reported for sucrose sensing. Au-nanoparticles (AuNPs) are encapsulated with GO in fixed ratio to prevent the AuNPs from aggregation as agglomeration of AuNPs broadens the absorbance spectra by more than 25%. The TEM results support the formation of 2 nm thickness of GO around Au nanoparticle of approximate size of 30 nm thereby making the sensor stable. The GO encapsulated AuNPs was immobilized on the core of processed and functionalized optical fibre for sucrose sensing. We found that the peak absorbance changes with sucrose refractive index and the sensitivity of 2.288 ΔA/RIU has been obtained i.e. the peak absorbance changes by 75.78% with 0.0395 change in refractive index of sucrose. Our experimental results are in good agreement with theory.

57 citations

Journal ArticleDOI
TL;DR: In this article, the effect of normalizing temperature on the microstructural and mechanical properties of cast and forged (C&F) P92 steel were carried out and the normalized specimens were tested for tensile strength, hardness, and toughness.
Abstract: The microstructural and mechanical properties of creep enhanced ferritic (CSEF) steels are affected by various parameters, solutionizing temperature is one of them. In the present investigation, the effect of normalizing temperature on the microstructural and mechanical properties of cast and forged (C&F) P92 steel were carried out. Grade P92 steel is considered as a candidate material for Thermal and Nuclear power plants at temperatures of up to 650 °C. In this study, C&F P92 steel was subjected to various normalizing temperatures (from 950 °C to 1150 °C). For microscopic characterization, Optical microscope and Field emission scanning electron microscope (SEM) were used. The grain size, precipitate size, area fraction of precipitates and Cr/Fe were calculated from micrographs. The normalized specimens were tested for tensile strength, hardness, and toughness. Considering observation for the optimum combination of strength, ductility, and toughness, the normalizing at 1000 °C and tempering at 760 °C has been suggested for C&F P92 steel.

57 citations

Journal ArticleDOI
TL;DR: In this paper, a label-free highly sensitive tapered Single-Mode-Multimode-Single-Mode (TSMS) structure-based optical fiber sensors (OFSs) are presented for the detection of L-cysteine (L-Cys).
Abstract: A label-free highly sensitive tapered Single-Mode-Multimode-Single-Mode (TSMS) structure-based optical fiber sensors (OFSs) is presented in this study for the detection of L-cysteine (L-Cys). Well studied biocompatible nanomaterials (NMs) including silver nanoparticles (AgNPs) and graphene oxide (GO) were synthesized and immobilized over the surface of the sensing probe using self-assembly method. Configurations involving the excitation of localized surface plasmon resonance (LSPR) phenomena proposed in the work are investigated in detail. Further, a comparative study with tapered multimode fiber (TMMF) OFSs and pioneering investigations on previously reported sensors in this area over the last few years (notable advances only) is also presented in this study. The characterization of NMs and sensing probe are observed using in house high-resolution transmission electron microscope (HR-TEM), energy-dispersive X-ray spectroscopy (EDS), scanning electron microscope (SEM), and atomic force microscopy (AFM) facilities. The proposed method improves the performance of the L-Cys in various fronts, namely: (i) sensitivity, (ii) linearity range, (iii) correlation coefficient, and (iv) limit of detection (LoD). The calibration curve is found to be linear over the range of 10nM to1 mM with an LoD of $63.25~\mu \text{M}$ and sensitivity of 7.0 nm/mM for the proposed TSMS/AgNPs/GO/OFSs.

57 citations

Journal ArticleDOI
01 Aug 2012
TL;DR: An energy efficient sensor deployment based on multiobjective particle swarm optimization algorithm is proposed here and compared with that of non-dominated sorting genetic algorithm.
Abstract: Deployment of sensor nodes is an important issue in designing sensor networks. The sensor nodes communicate with each other to transmit their data to a high energy communication node which acts as an interface between data processing unit and sensor nodes. Optimization of sensor node locations is essential to provide communication for a longer duration. An energy efficient sensor deployment based on multiobjective particle swarm optimization algorithm is proposed here and compared with that of non-dominated sorting genetic algorithm. During the process of optimization, sensor nodes move to form a fully connected network. The two objectives i.e. coverage and lifetime are taken into consideration. The optimization process results in a set of network layouts. A comparative study of the performance of the two algorithms is carried out using three performance metrics. The sensitivity analysis of different parameters is also carried out which shows that the multiobjective particle swarm optimization algorithm is a better candidate for solving the multiobjective problem of deploying the sensors. A fuzzy logic based strategy is also used to select the best compromised solution on the Pareto front.

57 citations

Proceedings ArticleDOI
16 Jan 2012
TL;DR: The results based on extensive study indicate that the differential energy based protection scheme can reliably protect the microgrid against different fault situations.
Abstract: A differential energy based fault protection in microgrid is presented in this paper. Initially the currents at the respective buses are retrieved and processed through a novel time-frequency transform known as S-transform to generate time-frequency contours. Spectral energy content of the time-frequency contours of fault current signals are calculated and differential energy is computed to register the fault patterns in the microgrid at grid-connected and islanded mode. The proposed scheme is tested for different shunt faults (symmetrical and unsymmetrical) and High Impedance Faults (HIF) in the microgrid with radial and loop structure. The results based on extensive study indicate that the differential energy based protection scheme can reliably protect the microgrid against different fault situations.

57 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