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A complete "Bridge Weigh-in-Motion" (B-WIM) system, with axle detection and accurate axle-load evaluation, was implemented using only four concrete embedded strain transducers.
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In the representation of the results in this document, this digital position evaluation is implemented using a red or green decision of the actual positional for validation of the measurement.
The required numerical evaluations are implemented using the nlminb function of the R language.
The required numerical evaluations are implemented using Matlab (version 2013) and R software (version 3.3.1).
The evaluation system was implemented using B/S architecture and the standard SSM framework with MVC design pattern.
The first evaluation step was implemented using comparison between the real training data and the simulated ones using PAM location and quantity (Table 6).
It is a backward feature selection approach which starts with the entire feature set and iteratively removes a proportion of features after evaluation using SVM, which was implemented using a toolbox in Matlab 8.3 [30].
Following the evaluation of several algorithms, a combined strategy was implemented using Metaphone for a first pass and then falling back to Double Metaphone for those terms not matched by Metaphone.
The numerical algorithm and the user-interface was implemented using object-oriented concepts leading to the simulation package Parsival (Particle Size evaluation).
DGRP was implemented using MPI.
Communication between nodes was implemented using MPI [34].
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