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The amount of precursors transported to the growth surface usually depends upon the cracking probability at the surface of catalyst and source temperature.
Although pavement performance prediction has been extensively investigated in the past, models for predicting the cracking probability and for quantifying impacts of associated explanatory factors following pavement treatment, have not been adequately investigated in the past.
This approach can be used in the engineering design process as a procedure to define critical strains, stresses or combinations of both to obtain a matrix cracking probability below a desired level.
Results indicate that the proposed approach results in accurately predicting the probability of crack initiation following treatment; furthermore it provided information on the relationship between external factors and cracking probability that can help pavement managers in developing appropriate rehabilitation strategies.
To facilitate the comparison between our approach and related encryption methodologies, we use a combination of performance parameters including the ones introduced by Shiu et al. [ 32], namely, capacity, payload, bpn, and the cracking probability or the probability of a successful brute-force attack P bf.
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Crack probability.
Tensor voting [18] techniques are used to build the crack probability map.
Around 5% of transactions have exactly a crack probability 1 10, while 95% have a probability strictly smaller than 1 10.
These results may be used to predict the crack probability of a glass bearing certain temperature and stress distributions.
The analysis of the crack probability for transactions and patterns in both databases CoopProd and CoopCat highlighted that after the data transformation around 90% of the transactions can be broken with probability strictly less than 1 k.
We refer to prob ( e ) and prob ( E ) as crack probabilities.
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