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The method utilizes locally calculated feature vectors (FVs) in point cloud data.
On each discretized segment, fluid properties, heat transfer process and TEG performance are locally calculated for higher model precision.
Therefore, it is safe to assume that the locally calculated value describes well the state of the entire mesh.
Robustness to clutter results from the fact that varying number of points representing other objects/background does not affect the locally calculated FVs, nor the detection results.
The locally calculated and received information contribution metrics are then fused together to achieve the estimated global state of the object at time k.
In parallel, each PE generates the different primitives (or interest zones) with respect to the received roadside model and sets the recognition value to its locally calculated detection edges.
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The DSP allows characterizing each analog channel by locally calculating noise and pedestal.
This is done using an algorithm that looks for intersection areas and then locally calculates two lines representing horizontal and vertical bars.
But if only a small enough area is investigated, even for strong curvatures the assumption of a planar grating holds and Eq. 3 can be used to locally calculate the grating vector.
Even if the position information is obtained using a centralized system such as the GPS, each node locally calculates the RP for its own adjacent links using Equation 3. The mobile sensor network is represented as a directed graph G(N,E), where N is the set of nodes and E is the set of links between nodes, called edges.
The chemical species concentration equation is solved using primitive variables and local fluxes are locally directly calculated at the interface.
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