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The method is essentially an extension of land evaluation in which the evaluations are calibrated using an ecosystem approach.
The parameters in the GTN model are calibrated using an Artificial Neural Networks system and the results of the tensile test.
The hydrogeologic parameters are calibrated using an inversion code (ITOUGH2) to fit measured core sample and in situ data according to statistical criteria.
An OptiScan microscope stage (Prior Scientific, Rockland, MA, USA) controls sample positioning while frame alignment and offsets are calibrated using an USAF 1951 optical resolution target.
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The parameters of the CGA are calibrated using a Design of Experiments (DOE) approach.
The parameters of the proposed algorithm are calibrated using a design of experiment (DOE) method.
The cameras are calibrated using a target mask consisting of a regular dot pattern26 that is positioned in the center of the enclosure and removed before swarming begins.
It is noted that all Raman spectra measured in Fig. 1b are calibrated using a Si peak of 520 cm−1.
Calibration was performed using a silicon photodiode, which was calibrated using an NIST-calibrated photodiode G425 as a standard.
The devices were calibrated using an acoustic calibrator (CEL-120/1; Casella Measurement) and set to record continuously for 24 hours.
The monitor was calibrated using an Eye-One calibration kit (X-Rite, Tewksbury, MA, USA).
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