Sentence examples for a random threshold from inspiring English sources

First, it uses the randomized threshold strategy [24] to assign a random threshold for each file and perform client-side deduplication once the number of the file is higher than the threshold value, so that the attacker cannot determine whether the file being uploaded already exists at the CSP.

We process very simply by picking up a random threshold uniformly distributed in the range has a corresponding probability of false alarm of (resp., ).

Additional sources of stochasticity, such as a random threshold (V_{T}) in the activation function or a stochastic membrane time constant τ, can be introduced in the model even including correlations among different sources.

As far as we know, the problem of a random threshold was firstly considered by Esary et al. in a context of shock models [11] and by Abdel-Hameed in several papers [1, 8, 12].

Additionally, in Appendix A.5, we also briefly describe how to construct a random threshold for yielding an exact mis-detection probability for a given significance level and perform our analysis.

Based on Table IV, we construct a random threshold for controlling type I errors of 0.01% as follows: For, A.5 where t1 = 3, t2 = 4, and w are so chosen as to satisfy the corresponding type I error is equal to 0.01% at a coverage depth C. See Tables V and VI for more details.

Let Y be a log-concave random threshold and let ρ be the lifetime of the device.

Genes may (a) duplicate, which includes the accompanying binding sites, (b) be deleted, which also includes the binding sites of the gene, (c) have their expression threshold mutated to a random other threshold value, and (d) have their binding specificity changed to a random other value.

Proposition 3.1 Let ( X ( t ), t ≥ 0 ) be a wear process with random threshold Y satisfying condition (7).

Realisations of the random threshold (left) for a Gaussian (top), shifted exponential (middle) and bump (bottom) distribution.

However, the random threshold Y will have a log-concave decreasing density if it has an exponential distribution, or a uniform distribution on the interval ( 0, a ), for some a > 0. On the other hand, the function a 2 ( t ) = e c t − 1, t ≥ 0 or a 2 ( t ) = c t, t ≥ 0 for c > 0 verifies the conditions in Proposition 4.4.