Results 121 to 130 of about 113,972 (314)
Unsupervised Particle Tracking with Neuromorphic Computing
ParticlesWe study the application of a neural network architecture for identifying charged particle trajectories via unsupervised learning of delays and synaptic weights using a spike-time-dependent plasticity rule.
Emanuele Coradin +8 more
doaj +1 more source
In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy
Advanced Engineering Materials, EarlyView.A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal +4 more
wiley +1 more source
Vehicle detection and tracking using homography-based plane rectification and particle filtering
, 2010 This paper presents a full system for vehicle detection and tracking in non-stationary settings based on computer vision. The method proposed for vehicle detection exploits the geometrical relations between the elements in the scene so that moving ...
Salgado Álvarez de Sotomayor, Luis +2 more
core
Multiple Objective D-Optimal Sensor Management for Group Target Tracking [PDF]
, 2006 A group target is moving in an area well covered by a network of passive sensor nods with known positions. Additionally, there are a number of mobile robots with active sensors.
Dolia, A. +5 more
core
Advanced Engineering Materials, EarlyView.Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
Python algorithms in particle tracking microrheology
Chemistry Central Journal, 2012 Background Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical properties of the sample. The method requires intensive numerical data processing and tools allowing control
Maier Timo, Haraszti Tamás
doaj +1 more source
Self-correcting Bayesian target tracking [PDF]
, 2015 The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the authorAbstract Visual tracking, a building block for many applications, has challenges ...
Biresaw, Tewodros Atanaw
core
V2V Communications in Automotive Multi-sensor Multi-target Tracking
, 2008 Today’s automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight.
Strang, Thomas +5 more
core +1 more source
Bayesian Visual Surveillance, a Model for Detecting and Tracking a variable number of moving objects [PDF]
, 2011 An automatic detection and tracking framework for visual surveillance is proposed, which is able to handle a variable number of moving objects. Video object detectors generate an unordered set of noisy, false, missing, split, and merged measurements that
Narciso Garcia +7 more
core +1 more source
Joint Audio-Visual Tracking Using Particle Filters
EURASIP Journal on Advances in Signal Processing, 2002 It is often advantageous to track objects in a scene using multimodal information when such information is available. We use audio as a complementary modality to video data, which, in comparison to vision, can provide faster localization over a wider ...
Dmitry N. Zotkin +2 more
doaj +1 more source