Sentence examples for sharing probability from inspiring English sources

In the equal selection policy, we define the sharing probability p s E as p s E = min 1, S m q S F 1. (10).

By adjusting the number of service nodes to be generated, SBK and LKE respond actively to different network conditions with a high key sharing probability.

Figure 7 Test 4. Comparison of In-Situ schemes and Probabilistic-based Key Predistribution Schemes: Key Sharing Probability vs. Keying Information Storage.

18:     Define the sharing probability p s by using S F 1. 19:     Allocate HeNB i to K s with the probability p s. 20:     Otherwise, allocate HeNB i to K p. 21: end for.

To this end, we develop an interference weighted selection policy, where each HeNB determines whether to use the full spectrum according to the sharing probability p s W, which is given by p s W ( i ) = min 1, S m q n F I i. (13).

We measure LKE's key sharing probability and compare it with that of the basic random key predistribution scheme (EG) [2], the random polynomial-based key space predistribution scheme (LN) [7] and the random matrix-based key space predistribution scheme (DDHV) [5].

Let degin(j) denote the in-degree of node j, then c i,j =e i,j / degin(j), where e i,j) denotes the number of edges from i to j. Due to the lack of ground truth, we independently assign uniform random 0.1%, 1%, and 10% to sharing probabilities p(i) for all the nodes i.

IBD allele sharing probabilities were computed in a multipoint fashion using the software package Simwalk2.

We therefore considered any relationship between parents in the families with P0 sharing probabilities <0.95 to be indicative of a consanguineal marriage, with predicted relationships as outlined in Table 2.

Full sibs have P0 sharing probabilities of 0.25; half sibs plus first cousin 0.375; grandparent-child, avuncular or half-sib 0.50; double first cousins 0.5625; first cousins or half-avuncular 0.75; half first cousins 0.875; and second cousins 0.9375.

We used a repeated measures analytic approach to compare sharing probabilities for respondents with respect to different topics and different "targets" defined as outside providers and public health, recognizing that responses to sharing questions are clustered at the individual level.