Indian Institute of Technology Bhubaneswar

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.

Skill of precipitation prediction with GCMs over north India during winter season

Abstract: P. R. Tiwari, S. C. Kar, U. C. Mohanty, S. Kumari, P. sinha, A. Nair, and S. Dey, 'Skill of precipitation prediction with GCMs over north India during winter season', International Journal of Climatology, Vol. 34 (12): 3440-3455, October 2014, doi: 10.1002/joc.3921. © 2017 Royal Meteorological Society, published by Wiley Online Library.

Search for associated production of a Z boson with a single top quark and for tZ flavour-changing interactions in pp collisions at s√=8 TeV

Abstract: A search for the production of a single top quark in association with a Z boson is presented, both to identify the expected standard model process and to search for flavour-changing neutral current interactions. The data sample corresponds to an integrated luminosity of 19.7 fb^(−1) recorded by the CMS experiment at the LHC in proton-proton collisions at √s = 8 TeV. Final states with three leptons (electrons or muons) and at least one jet are investigated. An events yield compatible with tZq standard model production is observed, and the corresponding cross section is measured to be σ(pp → tZq → lνbl^+l^−q) = 10_(−7)^(+8) fb with a significance of 2.4 standard deviations. No presence of flavour-changing neutral current production of tZq is observed. Exclusion limits at 95% confidence level on the branching fractions of a top quark decaying to a Z boson and an up or a charm quark are found to be ℬ(t → Zu) < 0.022% and ℬ(t → Zc) < 0.049%.

A Robust Pulse Onset and Peak Detection Method for Automated PPG Signal Analysis System

Abstract: Accurate determination of pulse onset and peak is important in many photoplethysmogram (PPG) signal analysis applications. This paper presents a new automatic robust pulse onset and peak detection method which consists of the stationary wavelet transform; the multiscale sum and product; the adaptive amplitude thresholding; the smooth Shannon entropy envelope extraction; the Gaussian derivative filter-based peak finding; and the peak and onset determination and correction. The proposed method achieves an average sensitivity (Se) of 99.66%, positive predictivity (Pp) of 99.90%, and overall accuracy (OA) of 99.55% on a total number of 1 16 255 beats taken from the Massachusetts Institute of Technology–Beth Israel Hospital polysomnographic sleep and complex system laboratory databases and finger pulse database. We further studied the robustness of three peak detection methods such as bandpass filter and Hilbert transform (BPF + HT) [12] , pulse waveform delineator (PUD) [20] , and the proposed method using the noisy PPG signals with a signal-to-noise ratio (SNR) ranging from 30 to 10 dB. The method achieved an average Se of 99.51%, Pp of 99.92%, and OA of 99.43% for the PPG signals with SNR of 10 dB whereas the BPF + HT and PUD methods achieved an average Se = 99.66%, Pp = 87.71%, and OA = 87.45%, and Se = 68.04%, Pp = 70.38%, and OA = 52.89%, respectively. The proposed method significantly outperforms the other methods in terms of detection accuracy and robustness under noise-free and noisy PPG recordings. Unlike the existing methods, the proposed method does not use search-back algorithms to reject or include the noise peaks or missed peaks.

Effect of convection on melting characteristics of phase change material-metal foam composite thermal energy storage system

Abstract: A pore-scale numerical model is presented for simulating the melting of phase change material (PCM) in a PCM-metal foam composite energy storage system. Instead of considering volume averaged domain for simulating the melting process, the present model resolves the geometry of the metal foam. Thus it can capture the effects of geometrical parameters such as the pore size and pore distribution as well as the localized heat transfer at the metal foam PCM interface more accurately. The model also incorporates the effect of convection on the melting process. The developed model comprises of a geometry creation model for generating the foam structure considering metal foam as overlapping circular pores of different pore radius. Heat transfer, phase change and convection are solved using an enthalpy based finite volume model. The model is validated with experimental results given in literature. Subsequently, the effect of convection on melting and energy storage rate in PCM-metal foam composite systems is studied for different pore size and different porosity of metal foam. Results indicate that the effect of convection is higher for higher porosity and larger pore size.