Results 51 to 60 of about 1,703,706 (235)
FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems [PDF]
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015 Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a density of the assumed parametric form.
Manuel Wüthrich +4 more
openaire +3 more sources
Adaptive particle filter for localization problem in service robotics
MATEC Web of Conferences, 2018 In this paper we present a statistical approach to the likelihood computation and adaptive resampling algorithm for particle filters using low cost ultrasonic sensors in the context of service robotics.
Heilig Alexander +3 more
doaj +1 more source
IEEE Access, 2021 Tight integration algorithms fusing Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) have become popular in many high-accuracy positioning and navigation applications.
Oliviero Vouch +3 more
doaj +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
CoRR, 2019 20 pages, 21 figures, https://www.youtube.com/watch?v ...
Ryuichi Ueda +2 more
openaire +2 more sources
Autonomous crowds tracking with box particle filtering and convolution particle filtering [PDF]
Automatica, 2016 Autonomous systems such as Unmanned Aerial Vehicles (UAVs) need to be able to recognise and track crowds of people, e.g. for rescuing and surveillance purposes. Large groups generate multiple measurements with uncertain origin. Additionally, often the sensor noise characteristics are unknown but measurements are bounded within certain intervals.
Allan De Freitas +4 more
openaire +5 more sources
IEEE AccessThe interest of this paper is the design of Bayesian particle filters for nonlinear state estimation (target tracking) applications. Particle filters employ a point mass representation of the probability densities using a set of weighted particles, in ...
Deepthi Kattula +2 more
doaj +1 more source
Unsupervised Learning Grouping-Based Resampling for Particle Filters
IEEE Access, 2019 Conventional resampling for particle filters suffers from discarding much potentially useful information due to using less information of spatial distribution of sampling particles set.
Weiming Yang +4 more
doaj +1 more source
IEEE Journal of Microwaves, 2022 Global positioning system (GPS) and inertial measurement units (IMUs) are often combined to produce navigation systems for airborne imaging platforms. The current state-of-the-art radar technology allows for radars to pulse at very high rates.
Brian M. Sun +4 more
doaj +1 more source