in this paper, drift change point estimation in the mean of polynomial profiles is considered. for this purpose, the proposed change point estimator is computed using maximum likelihood approach. performance of the proposed estimator is evaluated using monte carlo simulations when t2 control chart issues an out-of-control signal. simulation results show that the performance of the proposed esti...

Accurately predicting dynamic noise levels in urban environments is non-trivial. This study aims to optimally combine both simulated and empirical data. Acoustic data from microphone arrays, traffic weather was merged with a map, created statistical emulator tool (meta-model). Each hour, map generated by the meta-model measured algorithmically readings form new composite map. The resulting anal...

this paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. a novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. parameters of the fuzzy estimator are adapted to minimize the estimat...

Designers of millimeter wave (mmWave) cellular systems need to evaluate line-of-sight (LOS) maps provide good service users in urban scenarios. In this letter, we derive estimators obtain LOS scenarios with potential blocking elements. Applying previous stochastic geometry results, formulate the optimal Bayesian estimator map using a limited number actual measurements at different locations. Th...

Estimates of the quality of experimental maps are important in many stages of structure determination of macromolecules. Map quality is defined here as the correlation between a map and the corresponding map obtained using phases from the final refined model. Here, ten different measures of experimental map quality were examined using a set of 1359 maps calculated by re-analysis of 246 solved M...

Distribution-on-distribution regression considers the problem of formulating and estimating a relationship where both covariate response are probability distributions. The optimal transport distributional model postulates that conditional Fréchet mean distribution is linked to via an map. We establish minimax rate estimation such function, by deriving lower bound matches convergence attained le...

A new theorem shows that a bootstrap algorithm can estimate the impulsivity or tail thickness of symmetric a-stable (SαS) signals. SαS bell curves include the Gaussian bell curve as a special but non-impulsive case. Signals grow more impulsive as the bell curve’s tail thickness increases or as the tail-thickness parameter α falls from 2 toward 0. The thin-tailed Gaussian bell curve has α = 2. T...

In this dissertation, we focus on developing simultaneous localization and mapping (SLAM) algorithms with a robot-centric estimation framework primarily using monocular vision sensors. A primary contribution of this work is to use a robot-centric mapping framework concurrently with a world-centric localization method. We exploit the differential equation of motion of the normalized pixel coordi...