One is for calculating the connection between indicators, and the other one is for different objects.
Moreover, the general procedure for calculating the connection flexural resistance by means of component methodology is very complex.
An expression based on strut and tie theory is proposed to calculate the connection's strength, and it provided a good approximation to the experimental results.
In the risk assessment process, the set pair analysis method was used to calculate the connection number and the partial connection number of each factor, level and whole system.
For each subject, we obtained a 90 × 90 dependence matrix by calculating the connection strength using one of the 6 previously described methods (CF, PCF, MIC, MI, WCF, and CH) between all ROI pairs.
We calculated the proportion of connection losses or acquisitions occurring in different directions over the course of morphogenesis, and compared them with the distribution of connection angles in general.
To verify this hypothesis, we have numerically calculated the probability of connection between two opposing sides of the tissue, C, using the same method as proposed in [ 24], for the two different propagating directions, TP and LP. Figure 13 presents the results for the probability of connection, C, for the two cases, TP and LP.
Consider an example of Markov reward assignment to calculate the average connection lifetime within states and average state processing time per connection as shown in Table5.
Predicted connection time factor: upon reception of the velocity and location information included in the request from a neighboring cooperative vehicle, S calculates the predicted connection time ΔT iR according to formula (5), and further calculates a predicted connection time factor (PCTF) as {t_{i}}^{textsf{PCTF}} = frac{{Delta {T_{iS}}}}{{tilde T}}, (25).
