Sentence examples for success of the data from inspiring English sources

The ship's receipt of one-hop data from its NSs during the current frame implies the success of the data transfer in the previous frame.

Node replication attacks leave wireless sensor networks vulnerable to various insidious attacks, e.g., the adversary can pour false data into the network to prevent the success of the data aggregation protocol or the node replication attack can revoke legitimate nodes and disconnect the network by triggering a correct execution of the node revocation protocols [1].

Last but certainly not trivial, the success of the data selection depends on the cooperation of the potential participants.

The success probability of the data transmission in the second subperiod is denoted as (P_{text {suc2}}^{mathrm {c}}), and it is expressed as: P_{text{suc2}}^{mathrm{c}}=Prleft{gamma_{o}ge gamma_{mathrm{t}},tildegamma_{o}gegamma_{mathrm{t}}right}, (37).

The development of a shared questionnaire, the adoption of minimum requirements to ensure quality control and the electronic transfer of data, either by e-mail or by a secure web-enabled database, greatly contributes to the success of the CKDOD data validation, dissemination and rapid growth.

The solutions and understanding of the trend are helpful for the success of the big data.

What's a reasonable way of looking at the success of the open-data policy that the president implemented?

By way of example, the success of the current, data-driven effort to diversify America's poetry and fiction publications is evidence that quantifiable grievances are impossible for anyone of good faith to ignore.

The explosion in open data in government followed the success of the Free Our Data campaign, launched in the Guardian in March 2006.

Following the above, the probability of success in the data detection considering the CS performance is given as (20).

However, the project did not reach the expected level of success because the data infrastructure was not standardised and did not meet the data requirements of other stakeholders at the national and international level.