Results 71 to 80 of about 1,923,141 (282)
Gravity optimised particle filter for hand tracking [PDF]
, 2014 This paper presents a gravity optimised particle filter (GOPF) where the magnitude of the gravitational force for every particle is proportional to its weight. GOPF attracts nearby particles and replicates new particles as if moving the particles towards
Tjahjadi, Tardi +4 more
core +1 more source
A Method for Battery Health Estimation Based on Charging Time Segment
Energies, 2021 The problem of low accuracy and low convenience in the existing state of health (SOH) estimation method for vehicle lithium-ion batteries has become one of the important problems in the electric vehicle field.
Shao-Xun Liu +4 more
doaj +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
CoRR, 2013 A standard approach to approximate inference in state-space models isto apply a particle filter, e.g., the Condensation Algorithm.However, the performance of particle filters often varies significantlydue to their stochastic nature.We present a class of algorithms, called lattice particle filters, thatcircumvent this difficulty by placing the particles
Dirk Ormoneit +2 more
openaire +4 more sources
On coupling particle filter trajectories [PDF]
Statistics and Computing, 2017 Particle filters are a powerful and flexible tool for performing inference on state-space models. They involve a collection of samples evolving over time through a combination of sampling and re-sampling steps. The re-sampling step is necessary to ensure that weight degeneracy is avoided.
Deborshee Sen +2 more
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Box-particle intensity filter [PDF]
, 2012 This paper develops a novel approach for multi-target tracking, called box-particle intensity filter (box-iFilter). The approach is able to cope with unknown clutter, false alarms and estimates the unknown number of targets. Furthermore, it is capable of
Gning, Amadou +5 more
core +5 more sources
Two Stage Particle Filter for Nonlinear Bayesian Estimation
IEEE Access, 2018 The past several decades have witnessed the successful application of sequential Monte Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in solving different kinds of nonlinear Bayesian estimation problems ...
Fasheng Wang +3 more
doaj +1 more source
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
Intelligent Trigonometric Particle Filter for visual tracking
, 2022 Visual tracking is one of the pre-eminent tasks in several computer vision applications. Particle filter (PF) is extensively used in visual tracking for intelligent surveillance system applications, hugely significant. But the re-sampling procedure of PF
Nenavath, Hathiram +3 more
core +1 more source
Particle Swarm Optimization Artificial Immune Particle Filter
工程科学与技术, 2013 :To solve the particle weights degradation and sample impoverishment problems in particle filter which was used in non-Gaussian nonlinear systems, a new kind of particle filter was proposed.
杜正聪, 冯大海, 牛高远
doaj