To ensure the absence of vibration, thermal drift, or other motion in our system during experiments, we visually verified the XYZ position of the cell before and after each measurement.
Since MFCC features are widely used in audio detection systems, the experiments we ran using the MFCC features enabled us to find a base value for accuracy, precision, recall, sensitivity, and specificity.
To address the future need for a scalable data acquisition and control system for fusion experiments, we have explored the capability of software platform using Open Source Embedded Linux Operating System on a programmable hardware platform such as FPGA.
For the observing system experiments described here, we take as the "truth" a tumor whose growth dynamics are supposed to be governed exactly by the two-phenotype model, Eqs.
Using an observation system simulation experiment we demonstrate that the framework can be applied to provide estimates of the mean biomass loss rate, as well as distinguish the intensity of the disturbance.
Next we build a spatially heterogeneous structured model upon developing a reaction diffusion system; then, using numerical experiments we analyze some typical effects of spatial heterogeneities on the persistence or extinction of native or introduced and invading species.
In these experiments, we trained our system using one set of protein ligand complexes and then evaluated the performance of the system using a novel, independent test set.
In our experiments, we evaluate our system using both simulated and real users.
Finally, in the experiments, we evaluate the system from five aspects regarding to input and output parameters.
We explain the system design, illustrate its capabilities, describe experiments we conducted to validate its fidelity, and discuss potential applications in material appearance research and computer-aided appearance design.
