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For their study, the team at Reading use a "valence arousal circumplex model" – a graph which "maps all of the complexity of human emotions onto two axes".
Under the comparison model, a graph G is one-step t-fault diagnosable if and only if every vertex of G is one-step t-identifiable.
Under the comparison model, a graph G is restrictively one-step t-diagnosable if and only if all vertices in G are restrictively one-step t-identifiable.
To assess the Langmuir isotherm model, a graph of C e/q e against C e is plotted, a straight line is obtained and the values of K L and q max are computed from the values of the slope and intercept of the graph.
For a given α and K, it can be seen in Figure 8a that the diffusion coefficient function decreases dramatically and crosses zero when the gradient magnitude |∇I | is bigger than K / α. Figure 8 Different curves of the Shin-Du model: (a) Graph of the diffusion coefficient function: g (∇ I )- v (∇ I ) with α = 0.1; (b) Graph of the flux function: φ (∇ I ) = [ g (∇ I )- v (∇ I )]· ∇ I with α = 0.1.
In a graph-based model, a graph G ≔ { V, E} is constructed for the data points, where V corresponds to data points and e ij ∈ E connects x i and x j.
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Their model includes node-to-node communication model of Wu and Varshney [3], multihop propagation of flooding modeled as a graph, and a model for probabilistic flooding.
Local interactions enter into the model through a graph topology and the corresponding graph-Laplacian matrix.
The algorithm starts with the translation of the system model into a graph representation.
As described previously, one of the inputs to the model was a graph of LPs.
This work is focused on the second task, that is, the reconstruction of a three-dimensional model from a graph.
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