Showing papers by "Mani Bhushan published in 2020"
TL;DR: In this paper, the authors proposed to understand human activities and atmospheric processes governing carbonaceous aerosol lifecycle and impacts is vital to alleviating climate change and air quality in South Asia.
Abstract: Capsule“Understanding human activities and atmospheric processes governing carbonaceous aerosol lifecycle and impacts is vital to alleviating climate change and air quality in South Asia”
43 citations
TL;DR: In this paper, the authors used satellite-derived PM2.5 data to identify the optimal regionally representative monitoring sites (RRMS) for air quality management and assessment of aerosol climate effects over a large area.
20 citations
TL;DR: In this paper, the influence of absorbing aerosols on temperature maxima in north-west India (Tmax-NW) and central-India (AAI-CI) was investigated.
13 citations
TL;DR: In this paper, the authors proposed an approach for generating the system reliability using the sum of disjoint product method, which serves as the objective function to be maximized in various constrained optimization formulations for sensor network design.
10 citations
TL;DR: A modified definition of system reliability for sensor network design for two applications: reliable estimation of variables in a steady state linear flow process, and reliable fault detection and diagnosis for any process is presented.
10 citations
TL;DR: Results indicate feasibility of multi-parametric implementation for lower horizon lengths for MPC and MHE using simulation as well as experimental studies on a quadruple tank setup.
3 citations
TL;DR: Analysis of simulation results reveals that the estimation performance of the proposed MHE formulation is superior to estimation performances of the conventional Bayesian estimators that can handle non-Gaussian densities and employ the random walk model for parameter variations.
2 citations
TL;DR: The proposed approach is based on Kullback-Leibler divergence (KLD), which measures the difference of a density function from a reference density function, and enables explicit incorporation of the end-user’s preference in the SND procedure.
2 citations
TL;DR: A novel method for reconstructing spatial profiles of state variables is proposed, which exploits the fact that orthogonal collocation based discretization of PDEs employs time-dependent interpolation polynomials as approximate solutions.
2 citations
TL;DR: The proposed EKF approach is based on the idea that since the algebraic equations are assumed to be exact, the error covariance matrix of only the differential states needs to be directly propagated during the prediction step.
2 citations
TL;DR: The methodology discussed in Lekinwala et al., 2020, hereinafter referred to as the ‘parent article’, is used to setup a nation-wide network for background PM2.5 measurement at strategic locations, optimally placing sites to obtain maximum regionally representative PM2-5 concentrations with minimum number of sites.
TL;DR: A necessary condition for step (i) whose violation will yield incorrect misclassification for some point location problems is given and a sufficient condition whose satisfaction guarantees the accuracy of linear machine solution despite numerical errors which may have crept in during step (ii) of the LM design is proposed.