Bayesian Hierarchical Modeling for Variance Estimation in Biopharmaceutical Processes by Sonja Schach, Tobias Eilert, Beate Presser, Marco Kunzelmann

“…Determining process variances in biopharmaceutical manufacturing is challenging due to limited data availability. …”
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A Combination Positioning Method for Boom-Type Roadheaders Based on Binocular Vision and Inertial Navigation by Jiameng Cheng, Dongjie Wang, Jiming Liu, Pengjiang Wang, Weixiong Zheng, Rui Li, Miao Wu

“…To deal with the problem of position detection inaccuracies caused by the accumulation of errors in inertial navigation measurements over time and disturbances from body vibrations to the combined positioning system, an Adaptive Derivative Unscented Kalman Filtering (ADUKF) algorithm is proposed, which can suppress the impact of process variance uncertainties on the filtering. The simulation results demonstrate that, compared to the Unscented Kalman Filtering algorithm, the position errors in the three directions are reduced by 20%, 20.68%, and 28.57%, respectively. …”
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