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We should note that even though this example considers a single emitter and receiver, the tool can be used to simulate the presence of multiple emitters and receivers in any 3D scene.
More specifically, this example considers two possible signal recovery problems described in detail in Section 5.1 and characterizes performance in terms of two metrics: the root mean square signal recovery error (RMSE) and the mean absolute signal recovery error (MAE).
This example considers the random variables, as well as its statistical properties (presented on Table 2 and used in examples 2 and 3. Figures 17,18,19, and20 show the influence of each random variable on the probability of corrosion initiation for C.A II, w/c ratios of 0.4 and 0.7, and structural lifetimes 5 and 25 years.
Since the primary question of interest is the influence of the tuning parameter t, this example considers a fixed window half-width parameter (specifically, K=5, yielding an 11-point moving window filter) and examines filter performance over a range of t values.
This example considers the determination of the optimal enzyme manipulation in the central carbon metabolic network of E. coli.
Although this example considers a simple compartmental setup, more complex heterogeneities can be easily realized by using a corresponding distribution for the labeling efficacy.
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In this example, consider a chain topology of six nodes depicted in Figure 3.
In this example, consider that the last Ack is not marked.
Finally a new disruptive effort eventually succeeds a decade or two later (to complete this example, consider Amazon regarding groceries, and AWS or Opsware regarding cloud computing).
For the purpose of this example, consider a room that is divided into three rectangular sections, two triangular sections, and one semi-circular section.
This simplified example considers only 3 mechanisms and 1 accident type.
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