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Visual (spatial and temporal) data acquisition requires the same physical points to be tracked over time.
However, only a limited number of diameter combinations are provided since the mass data acquisition requires large amount of time.
To observe data discrepancies resulted from coal mining activities, the time-lapse data acquisition requires data acquired in different time periods must have repeatability and the non-repetitive part should be variations resulted from mining, therefore, acquisition environment, acquisition equipment and parameters must be ensured to be repetitive when acquisition is being carried out.
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The sample testing process, including data acquisition, required a time less than one hour.
Hi3 nanoUPLC-MSE based quantification of proteins, used in this study, combined advantages of ultra-performance liquid chromatography that provides high reproducibility in nanoUPLC runs with high sampling rate of MSE data acquisition required for accurate quantitative analysis [ 30].
The data acquisition required for this method is less time and resource intensive than previous methods, allowing the identification of potential epidemiological risk areas with minimal field-based surveys.
The full pipeline takes approximately 10 12 days to execute for a typical protein sample, including the time needed for NMR data acquisition, and requires minimum supervision.
The deluge of multi-dimensional data acquired from advanced data acquisition tools requires sophisticated algorithms to extract useful knowledge from such data.
As for control and data acquisition it requires fast and slow control (cycle time around 0.1 ms and 10 ms, respectively), synchronization (10 ns resolution), and data acquisition for about 1000 channels (analogue and images) with sampling frequencies up to tens of MS/s, data throughput up to 200 MB/s, and data storage volume of up to tens of TB/year.
Fast control and data acquisition are required in the ion source test bed of the ITER neutral beam test facility, referred to as SPIDER.
Given the importance of this area, the sensor nodes constituting industrial wireless sensor networks must meet some exigencies such as secure data transmission, high sampling rate and synchronous data acquisition, which require such minimum level of data processing capabilities.
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