Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

VIT Unitversity

World University root node

Department of Communication Engineering

School of Electronics Engineering

Vellore Campus

Journal of Natural Fibers

Characterization of microfiber isolated from Hibiscus sabdariffa var. altissima fiber by steam explosion

Department of Physics

School of Advanced Sciences

Fulltext

The Astrophysical Journal

UVIT Open Cluster Study. I. Detection of a White Dwarf Companion to a Blue Straggler in M67: Evidence of Formation through Mass Transfer

Data fusion technique combines data from two similar sensors placed in different location in order to reduce the error in filtered state estimate. In this paper, state vector fusion (SVF) and measurement fusion (MF) are used to fuse the bearing measurement and also to fuse the derived heading measurement. The derived heading from bearing measurement increases the accuracy of target state estimate. Here, the Lagrange three point difference (LTPD) method has been proposed to derive heading from the set of bearing measurements. Two sensors with single target scenario are considered and the heading parameters are derived for each sensor. The bearing and derived heading measurements from two different sensors are fused using SVF or MF and then nonlinear Extended Kalman filter (EKF) is used to obtain the optimized state estimate. Simulations have been carried out in order to compare the SVF and MF fusion techniques for the bearing measurements as well as the derived heading parameters using existing centered difference (CD) and proposed LTPD. © 2019 Praise Worthy Prize S.r.l.-All rights reserved.

Department of Electrical Engineering

International Review of Automatic Control

Fusion of derived heading for bearings only tracking

Monthly Notices of the Royal Astronomical Society

Ultraviolet stellar population of the old open cluster M67 (NGC 2682)

Mechanical

School of Mechanical Engineering

Chennai Campus

A HOT COMPANION TO A BLUE STRAGGLER IN NGC 188 AS REVEALED BY THE ULTRA-VIOLET IMAGING TELESCOPE (UVIT) ON ASTROSAT

Research in Astronomy and Astrophysics

Simulation of old open clusters for UVIT on ASTROSAT

The particle flow filter (PFF) has been claimed to have superior performance in terms of accuracy and computational speed compared with existing nonlinear filters. We carefully examine the PFF algorithm and homotopy used in the PFF. We find three problems in the formulation of the PFF. First, homotopy used in the PFF violates the definition of homotopy. Second, a posterior probability density function (pdf) p(x, λ), is used in the Fokker-Planck equation (FPE) with respect to a parameter λ. A prediction pdf should be used in the FPE, not a posterior pdf. Third, a given measurement is processed a number of times in a loop over the parameter λ and the correlation between a particle state and measurement noise is ignored. We analyze the PFF using the range-azimuth nonlinear filtering problem and calculate the cross-correlation coefficients between the particle states and measurement noise to show high values of cross-correlation coefficients.

Department of Instrumentation

School of Electrical Engineering

2015 International Conference on Control, Automation and Information Sciences (ICCAIS)

Critical analysis of the particle flow filter