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One should also bear in mind that a larger key chain length also necessitates larger processing time and storage space at the base station.
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Furthermore, FC-NIRS can accomplish batch processing during data processing and analysis, thereby greatly reducing the time cost of addressing a large number of datasets.
However, the parallel processing of the entire transient processes can demand a significantly large processing time.
The lack of usage of 3D surface metrology scanners for in-line process control can be attributed to the large processing time of metrology equipment compared to the cycle time of automotive assembly systems.
The processing time for each batch is represented by the largest processing time of the jobs in a batch.
A CFAR based on an Ordered Statistic OS techniquc needs a large processing time, which limits its use.
Moreover, we show that the largest processing time (LPT) list scheduling algorithm achieves good performance when processors are of uniform speed.
If the total processing time and the largest processing time of all jobs are both known in advance, the competitive ratios of the optimal algorithms are 32 when m= 3, and m−2 when m≥4.
We prove that if the total processing time of all jobs or the largest processing time of all jobs is known in advance, the competitive ratios of the optimal algorithms are both m−1.
Note that the second assumption means that we considered applications with no large processing time.
It is not suitable for large data sets as the kernel matrix is of higher order resulting in large processing time.
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