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It is shown that the air bearing optimization can be effectively dealt with by the CLOMP (parallel efficiency of 96.2 98.8%) as well as the SMP computing (93.1 99.4%) in the studied cases.
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Mathematically, this optimization can be formulated as.
Assay optimization can be performed along two routes (Figure 5B).
However, with the experience from this project subsequent optimizations can be performed much more efficiently.
Hence, with the use of thicker plates, bearing failure can be avoided.
These optimization problems can be solved by optimization techniques.
It is observed that the resistance in a parallel bearing can be very sensitive to small changes in bearing geometry.
Although these oligonucleotide optimization methods can be performed independently from the codon optimization procedure, these two processes can be integrated to facilitate the "design-to-synthesis" workflow.
The bearing capacity of permanent magnetic bearings can be improved efficiently by using the Halbach array magnetization.
The consequences of that lost bearing can be hideous.
The fault characteristics of crankshaft bearing can be extracted efficiently.
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