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As in earlier models, the sensor shakes dust onto an adhesive strip.
It models the sensor node in two parts: software model (function model) and hardware model.
It models the sensor node in SystemC, which makes the simulation to be a part of the HW/SW design of sensor nodes.
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To model the sensor nodes, we can either use system-level simulation or instruction-level emulation.
Based on the experimental data and the model, the sensor's shear sensitivity is discussed in detail.
Primary estimations of the concentration are obtained by mathematically modeling the sensor responses in inductive and capacitive sensing functions.
In this model, the sensor nodes are controlled independently and the signals are received or transmitted according to the change of environment.
We model the sensor data sent by correlator nodes as numbers, and define arithmetic subtraction as the difference operator and arithmetic addition as its reverse.
Therefore, we do not use conventional methods based on geometry and we model the sensor based on the point with low computational complexity.
Therefore, this paper provides an approach for modelling the sensor chain in a formal way and connecting it to the formal model of the control system.
Fig. 4 Example of generating process of large itemset L. When modeling the sensor, we experiment whether the density of the signal points according to radius ratio or angle ratio of a sensor affects the results of the proposed method.
More suggestions(15)
models the solution
models the observation
models the quantity
models the value
models the distance
models the equilibrium
models the duration
models the propagation
models the frequency
models the domain
models the complexity
models the identification
models the tissue
models the prediction
models the uncertainty
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