The program was coded using the C programming language.
The disposition was coded using the NEISS variable "Disposition" as Left ED or Stayed/Transferred.
The analytical procedure was coded using MATLAB, and a predictive simulation tool called WaveFormRevealer 2-D was developed.
Furthermore, the software platform was coded using Matlab/Simulink and RTW based on RCP technology, which is distinguished with classic MAS methodology.
The body part injured was coded using the NEISS variable "Body Part" and grouped as the following: Head/Neck/Face, Upper Extremities, Lower Extremities, and Torso.
The algorithm was coded using the Java programming language and was run mainly on a 1.9-GHz system with 4 Gb of RAM.
The transcribed data was coded using open codes descriptively so as to identify possible key ideas that were later arranged into categories.
Information from field survey was coded using Statistical Package for Social Sciences (SPSS) version 20.0, and estimations were carried out using STATA 11.
Visual behaviour was coded using a 'data reduction' approach and coding taxonomy of visual behaviour similar to that used in the 100-car study [2].
The proposed algorithm was coded using MATLAB language executed on a computer with a 1.00-GB RAM and an Intel, 2.80-GHz CPU.
It was coded using Chrono Trigger ROM editing software, and was meant to be played on a Super Nintendo Entertainment System emulator.
