Virtual Tawaf: A Velocity-Space-Based Solution for Simulating Heterogeneous Behavior in Dense Crowds

2013 ◽  
pp. 181-209 ◽  
Author(s):  
Sean Curtis ◽  
Stephen J. Guy ◽  
Basim Zafar ◽  
Dinesh Manocha
Keyword(s):  
Velocity Space ◽  
Heterogeneous Behavior ◽  
Dense Crowds

Thin slice methodology: Variability in impressions from homogeneous and heterogeneous behavior sequences

2007 ◽  
Author(s):  
Matthew J. Lindberg ◽  
G. Daniel Lassiter ◽  
Katrina Brickner ◽  
James Mahnic ◽  
Melissa Smart
Keyword(s):  
Thin Slice ◽  
Heterogeneous Behavior ◽  
Behavior Sequences

scholarly journals Phase transition of the 2-Choices dynamics on core–periphery networks

2021 ◽  
Author(s):  
Emilio Cruciani ◽  
Emanuele Natale ◽  
André Nusser ◽  
Giacomo Scornavacca
Keyword(s):  
Phase Transition ◽  
Voting Behavior ◽  
Structural Parameters ◽  
Connected Subset ◽  
Transition Phenomenon ◽  
The Core ◽  
Analytical Results ◽  
Heterogeneous Behavior

AbstractThe 2-Choices dynamics is a process that models voting behavior on networks and works as follows: Each agent initially holds either opinion blue or red; then, in each round, each agent looks at two random neighbors and, if the two have the same opinion, the agent adopts it. We study its behavior on a class of networks with core–periphery structure. Assume that a densely-connected subset of agents, the core, holds a different opinion from the rest of the network, the periphery. We prove that, depending on the strength of the cut between core and periphery, a phase-transition phenomenon occurs: Either the core’s opinion rapidly spreads across the network, or a metastability phase takes place in which both opinions coexist for superpolynomial time. The interest of our result, which we also validate with extensive experiments on real networks, is twofold. First, it sheds light on the influence of the core on the rest of the network as a function of its connectivity toward the latter. Second, it is one of the first analytical results which shows a heterogeneous behavior of a simple dynamics as a function of structural parameters of the network.

Kinematical evolution of Globular Clusters

2019 ◽  
Vol 14 (S351) ◽  
pp. 524-527
Author(s):  
Maria A. Tiongco ◽  
Enrico Vesperini ◽  
Anna Lisa Varri
Keyword(s):  
Angular Momentum ◽  
Structural Properties ◽  
Globular Clusters ◽  
Velocity Dispersion ◽  
Three Dimensional ◽  
Stellar Populations ◽  
Velocity Space ◽  
Fundamental Understanding

AbstractWe present several results of the study of the evolution of globular clusters’ internal kinematics, as driven by two-body relaxation and the interplay between internal angular momentum and the external Galactic tidal field. Via a large suite of N-body simulations, we explored the three-dimensional velocity space of tidally perturbed clusters, by characterizing their degree of velocity dispersion anisotropy and their rotational properties. These studies have shown that a cluster’s kinematical properties contain distinct imprints of the cluster’s initial structural properties, dynamical history, and tidal environment. Building on this fundamental understanding, we then studied the dynamics of multiple stellar populations in globular clusters, with attention to the largely unexplored role of angular momentum.

Inverse Velocity Space Spectra and Kinetic Equations

1967 ◽  
Vol 35 (10) ◽  
pp. 906-912
Author(s):  
Paul Diament
Keyword(s):  
Kinetic Equations ◽  
Velocity Space ◽  
Inverse Velocity

scholarly journals Abnormal Prediction of Dense Crowd Videos by a Purpose–Driven Lattice Boltzmann Model

2017 ◽  
Vol 27 (1) ◽  
pp. 181-194 ◽  
Author(s):  
Yiran Xue ◽  
Peng Liu ◽  
Ye Tao ◽  
Xianglong Tang
Keyword(s):  
Lattice Boltzmann ◽  
General Trend ◽  
Lattice Boltzmann Model ◽  
Training Procedure ◽  
Particle Collisions ◽  
Proposed Model ◽  
Dense Crowds ◽  
Dense Crowd ◽  
Boltzmann Model ◽  
Abnormal Events

Abstract In the field of intelligent crowd video analysis, the prediction of abnormal events in dense crowds is a well-known and challenging problem. By analysing crowd particle collisions and characteristics of individuals in a crowd to follow the general trend of motion, a purpose-driven lattice Boltzmann model (LBM) is proposed. The collision effect in the proposed method is measured according to the variation in crowd particle numbers in the image nodes; characteristics of the crowd following a general trend are incorporated by adjusting the particle directions. The model predicts dense crowd abnormal events in different intervals through iterations of simultaneous streaming and collision steps. Few initial frames of a video are needed to initialize the proposed model and no training procedure is required. Experimental results show that our purpose-driven LBM performs better than most state-of-the-art methods.

scholarly journals Inversion methods for fast-ion velocity-space tomography in fusion plasmas

2016 ◽  
Vol 58 (4) ◽  
pp. 045016 ◽  
Author(s):  
A S Jacobsen ◽  
L Stagner ◽  
M Salewski ◽  
B Geiger ◽  
W W Heidbrink ◽  
...  
Keyword(s):  
Velocity Space ◽  
Fusion Plasmas ◽  
Inversion Methods ◽  
Ion Velocity ◽  
Fast Ion

Discretization of the Boltzmann equation in velocity space using a Galerkin approach

2000 ◽  
Vol 129 (1-3) ◽  
pp. 91-99 ◽  
Author(s):  
Jonas Tölke ◽  
Manfred Krafczyk ◽  
Manuel Schulz ◽  
Ernst Rank
Keyword(s):  
Boltzmann Equation ◽  
Velocity Space ◽  
Galerkin Approach ◽  
The Boltzmann Equation
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