Live Breaking News & Updates on Measurement Uncertainty|Page 2

Stay updated with breaking news from Measurement uncertainty. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

33 participants from 17 countries participated in 'Competence of Laboratories and their Management Systems' training programme of Bureau of India Standards - New Delhi Times

The Ministry of Consumer Affairs, Food & Public Distribution stated in a press release said that 33 participants from 17 countries, mainly from African, Caribbean and Asian regions, attended the 13th International Training Programme on 'Competence of Laboratories and their Management Systems' organized by the National Institute of Training for Standardization (NITS), the training wing… ....

Good Laboratory Practices , National Institute Of Training , Bureau Of Indian Standards , Ministry Of Consumer Affairs , International Training Programme On Competence Of Laboratories , Consumer Affairs , Public Distribution , International Training Programme , Management System , National Institute , Indian Standards , Proficiency Testing , Risk Management , Legal Metrology , Measurement Uncertainty ,

Can Machine Learning Reduce AFM Uncertainty?

Two studies published in 2022 demonstrate machine learning techniques employed to reduce uncertainty in atomic force microscopy (AFM). Making AFM more accurate with artificial intelligence (AI) could make the technology more accessible around the world. ....

National Cheng Kung University , Tainan Municipality , Vilniaus Apskritis , Ben Pilkington , Ben Pilkingtonjul , Vilnius University , Measurement Uncertainty , Inappropriate Contact , European Journal , Electrochemical Impedance Spectra , Scientific Reports , Electrochemical Impedance Spectroscopy , Machine Learning ,

"PTV Longitudinal-Lateral State Estimation Considering Unknown Control " by Zhisong Zhou, Guofeng Zhou et al.


Abstract
The mixed driving of human-driven and automated vehicles is believed to be the most likely future transportation pattern, and this work studies longitudinal-lateral state estimation for human-driven preceding target vehicles (PTVs) in such situations, as this information cannot be directly obtained by the host vehicle (HV). For longitudinal state estimation, the constant turn rate and acceleration (CTRA) model is adopted and the unscented Kalman filter (UKF) is used for estimator construction. For lateral state estimation, a PTV lateral motion model constructed based on the bicycle model and PTV lateral motion relative to the road reference is used. However, the steering angle of the conventional human-driven PTV is unknown, and PTV parameters such as cornering stiffness are uncertain. To provide more accurate PTV lateral states, the design of a state estimator that handles both unknown control inputs and uncertain model parameters is investigated in this study. First ....

Automated Vehicle , Kalman Filters , Mathematical Model , Measurement Uncertainty , Receding Target Vehicle Ptv , Sensor Systems , State Estimation , Ncertain Model Parameters , Nknown Control Inputs , தானியங்கி வாகனம் ,