Figure 7 Time-variant validation using the Environment Characterisation Metric: CDF of collinearity between snapshots adjacent in time ( seconds).
This redistribution of strain can be predicted in the FEM simulation by incorporating local mechanical behaviour using the developed characterisation model.
We found the reason for this to be outlier paths that were estimated from the measurement, but these are not modelled by the RCM. Figure 6 Model validation using the Environment Characterisation Metric.
Also, comparison of the predicted cricondentherm using the various C6+ characterisation approaches shows significant variation.
Recently, large-scale transcriptome characterisation using the GS FLX platform has been performed for both lentil and pigeonpea [ 8, 37].
The system is used for quasi-steady flow tests used for the characterisation of the direct injection process for cryogenic engines.
This approach has been used previously [ 88] and was also used for the characterisation of various CDHs [ 45], especially for N. crassa CDH immobilised on spectrographic graphite electrodes with various substrates at pH 5.2 and 7 [ 43].
This paper provides additional characterisation information using the miniature electro-thermomechanical test system (the ETMT) that has been developed at the National Physical Laboratory to obtain multiproperty data over a range of temperatures.
The time-variance of the source model was varied and the accuracy of source characterisation results using the two-load method and the modified two-load method was evaluated.
Using the optimal clustering solution, systematic characterisation of every module was conducted using a combination of expression data, gene ontology (GO) enrichment and literature searches.
