Sentence examples for messages generated in from inspiring English sources

In other words, it represents the total number of messages generated in the network during the data reporting, data lookup, and data collection processes.

Specifically, the number of communication messages generated in the SPS for building super-peer candidates per node is a little bit large.

In this paper, we propose a stability considered density adaptive routing protocol not only to support the stable routing, but to guarantee the efficiency of routing process in order to reduce the overhead caused by control messages generated in the routing process.

Such a behavior of the algorithm explains the performance of the experiments with t 1. Figure 4 a, b shows the latency and number of messages generated in the above two scenarios when the intermediate process of the tree, p n/2, fails.

This section provides an analytical study of communication cost and hot spot traffic cost of HexDD and other protocols given in Section 2. The communication cost represent the total amount of messages generated in the network during the data dissemination and look up process.

A standard Instagram message generated in every case of censorship.

114, 115 If one considers the presence of new sequences such as PCDH11Y on the Y chromosome as a speciation event, it is apparent that the pattern of gene expression is both subject to sexual selection at the time of the event, and incorporates the features of the new species into the epigenetic message generated in male meiosis.

For each event, the number of messages generated is in the order of, so.

If the dozens of messages generated by the system in mid-December had a lead story, it was an angry rejection of government claims that 13 people killed in the district of Arawan had been insurgent fighters.

Quip, a new word processing app with an impressive pedigree (co-created by ex-Facebook CTO Bret Taylor and the father of Google Apps Engine, Kevin Gibbs), has seen hundreds of thousands of documents created, and millions of messages generated, since its launch in July of this year.

We used methods from statistical physics and network theory to identify groups in the network structure that emerge from user interaction, and linked this to word frequencies in the messages generated by each user.