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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 & Computer science. The organization has 1185 authors who have published 3132 publications receiving 48832 citations.


Papers
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Journal ArticleDOI
TL;DR: Results showed that the proposed ECG beat extraction approach can improve the classification accuracy by preserving the QRS complex portion and suppressing the background noises under acceptable level of noises, and achieve higher kappa values for the classification accuracies.
Abstract: In this paper, we propose a new automated quality-aware electrocardiogram (ECG) beat classification method for effective diagnosis of ECG arrhythmias under unsupervised healthcare environments. The proposed method consists of three major stages: 1) the ECG signal quality assessment (“ acceptable ” or “ unacceptable ”) based on our previous modified complete ensemble empirical mode decomposition and temporal features; 2) the ECG signal reconstruction and R-peak detection; and 3) the ECG beat classification including the ECG beat extraction, beat alignment, and normalized cross-correlation-based beat classification. The accuracy and robustness of the proposed method are evaluated using different normal and abnormal ECG signals taken from the standard MIT-BIH arrhythmia database. Evaluation results show that the proposed quality-aware ECG beat classification method can significantly achieve false alarm reduction ranging from 24% to 93% under noisy ECG recordings. The R-peak detector achieves the average Se = 99.67% and positive predictivity (Pp) = 93.10% and the average sensitivity (Se) = 99.65% and Pp = 98.88% without and with denoising approaches, respectively. Results further showed that the proposed ECG beat extraction approach can improve the classification accuracy by preserving the QRS complex portion and suppressing the background noises under acceptable level of noises. The quality-aware ECG beat classification methods achieve higher kappa values for the classification accuracies which can be consistent as compared with the heartbeat classification methods without the ECG quality assessment process.

51 citations

Journal ArticleDOI
TL;DR: In this article, the 3D-MnO2/Ni electrode was fabricated using hydrogen bubble dynamic template (HBDT)-assisted electrodeposition method, in which several Ni nanoparticles were interconnected, arranged perpendicular to the substrate and formed the dendritic nanowall structure (3D-Ni current collector).

51 citations

Journal ArticleDOI
TL;DR: In this paper, a search for new high-mass resonances in proton-proton collisions having final states with an electron or muon and missing transverse momentum is presented.
Abstract: A search for new high-mass resonances in proton-proton collisions having final states with an electron or muon and missing transverse momentum is presented. The analysis uses proton-proton collision data collected in 2016 with the CMS detector at the LHC at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb−1. The transverse mass distribution of the charged lepton-neutrino system is used as the discriminating variable. No significant deviation from the standard model prediction is found. The best limit, from the combination of electron and muon channels, is 5.2 TeV at 95% confidence level for the mass of a W′ boson with the same couplings as those of the standard model W boson. Exclusion limits of 2.9 TeV are set on the inverse radius of the extra dimension in the framework of split universal extra dimensions. In addition, model-independent limits are set on the production cross section and coupling strength of W′ bosons decaying into this final state. An interpretation is also made in the context of an R parity violating supersymmetric model with a slepton as a mediator and flavor violating decay.

51 citations

Journal ArticleDOI
TL;DR: In this article, a signal processing scheme is proposed to filter the noise and to measure the angle between two damaged teeth in the time domain of the vibration signal, which is shown to identify the first and the second defective teeth impact on gear meshing.

51 citations

Journal ArticleDOI
TL;DR: In this paper, the first observation of proton-tagged γγ collisions at the electroweak scale at the LHC was presented, where a total of 12 μ+μ− and 8 e+e− pairs with m(l+l−) > 110 GeV, and matching forward proton kinematics, were observed, with expected backgrounds of 1.49 ± 0.07 (stat) ± 0., 0.53 (syst) and 2.36 ± 0, respectively.
Abstract: The process pp → pl+l−p(*), with l+l− a muon or an electron pair produced at midrapidity with mass larger than 110 GeV, has been observed for the first time at the LHC in pp collisions at $$ \sqrt{s}=13 $$ TeV. One of the two scattered protons is measured in the CMS-TOTEM precision proton spectrometer (CT-PPS), which operated for the first time in 2016. The second proton either remains intact or is excited and then dissociates into a low-mass state p*, which is undetected. The measurement is based on an integrated luminosity of 9.4 fb−1 collected during standard, high-luminosity LHC operation. A total of 12 μ+μ− and 8 e+e− pairs with m(l+l−) > 110 GeV, and matching forward proton kinematics, are observed, with expected backgrounds of 1.49 ± 0.07 (stat) ± 0.53 (syst) and 2.36 ± 0.09 (stat) ± 0.47 (syst), respectively. This corresponds to an excess of more than five standard deviations over the expected background. The present result constitutes the first observation of proton-tagged γγ collisions at the electroweak scale. This measurement also demonstrates that CT-PPS performs according to the design specifications.

50 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