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Exact(17)
An aspect of automation that is developing rapidly concerns graphic data acquisition, storage, and retrieval.
This requires data acquisition, storage, and utilization.
We have tested many different methods for data acquisition, storage, manipulation, and delivery.
Beyond data acquisition, storage, and analysis, a number of critical issues are associated with database development.
The subroutines developed for data acquisition, storage and analysis are explained in detail, and an example is presented.
The introduction of a database solves the problem of highly intensive data acquisition, storage, and quick retrieval.
Similar(43)
Chen et al. [63] reviews the big data background and the associated technologies, including applications and challenges (in relation to data generation, acquisition, storage, and analysis).
The main reason is that big data acquisition and storage become increasingly difficult with the increasing amount of data because of the sampling bandwidth and storage space constraints.
The UTM was interfaced with a computer for automatic data acquisition and storage.
FVL has applied the latest "cloud" technology for both data acquisition and storage architecture.
Through the abovementioned research, a third-party forecasting and early warning system for pipeline were established, including data acquisition, data storage, data analysis and modeling, data risk visualization, and trend analysis.
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