Sentence examples for the success of data from inspiring English sources
The success of data delivery is not dependent on the stable neighborhood, but on the node density.
In fact, the principal reason for the success of data warehousing is that it transformed reconstructable historical data into queryable historical data.
However, it is worth noticing that the success of data delivery in a socially oriented environment does not depend only on the contacts, because nodes can be either cooperative or uncooperative in data relaying.
The mobile side is implemented in NVIDIA Jetson TK1, and the communication is carried out via Git protocol to ensure the success of data transmission in unstable network environments.
The process described in this chapter uses a designed approach for the impurity and/or degradant identification, which focuses on efficiency so that the success of data collection is maximized and project time lines are met.
With more applications deployed, it is imperative to ensure the success of data analysis, which largely depends on data transmission reliability as well as the importance of samples received.
An analytical model based on Markov chain for multi-hop cluster network has been studied without taking into account the acknowledgement (ACK) to confirm the successes of data packet transmission, the defer transmission, and packet retransmission[19].
The success of such data linkage depends on data quality, linkage methods, and the ultimate purpose of the linked data [ 3].
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].
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.
The size and the complexity of molecular data underline the crucial role of theoreticians and computational scientists for the success of biological data exploration.
