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In this paper we present a Spiral-Based Clustered with Data Aggregation (SBCDA) architecture approach combining data aggregation with TDMA protocol in WSNs for improving connectivity and avoiding inter-cluster collisions and to increase bandwidth reserved for each sensor node, by computing the length of the superframe generated by all sensor nodes in the network.
In Section 7, we explore more generally how tides may affect habitability by computing the length of time spent in a tidally dominated state for a range of stellar masses.
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The mean directed path length, L, of an RBN is obtained by computing the path length between each pair of nodes with a direct path between them, and averaging over the number of such pairs.
1. NCE-Detection which is used for detecting the non-congestion events from network congestion by computing the queue length of the bottleneck link using TCP timestamp based RTT measurement.
To circumvent this problem, we used the Super Distance Matrix (SDM) approach [ 42], with a three-step procedure: (i) The ML tree inferred from each of the 3170 exons was converted into a matrix of additive distances by computing the path-length between each pair of species.
The length comparison was done by computing the ratio of lengths of the shorter and the longer genes in the overlapping gene pair.
This is because TCP NCE detect the loss by computing the current queue length using timestamp based RTT measurement.
We used a modification of the KS test to compute the inbreeding coefficient of an individual based on the length of ROH by computing the KS statistic of the distribution of the lengths of ROH of the individual compared to a reference distribution that consists of the lengths of all ROH of all individuals (e.g., population, strain).
We tested this expectation by computing the Spearman rank correlation between the length of each ORF in the genome and the quantile of its true mRNA folding energy compared with the null distribution.
The accuracy of the approximated models is assessed by computing the average, along the channel length, of the errors, for several values of the Froude and kinematic wave numbers.
Our dynamic programming algorithm starts by computing the Newton polytope for all unit length subsequences, followed by all length two subsequences, …, up to the Newton polytope for the entire sequence x.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com