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Furthermore, the applicability of the Markov chain approach for generating the cycle time distribution curve for a circulating system is discussed.
In general the CDK library has been relying less on MCB as it has little use beyond counting the number of rings and generating the cycle space.
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This paper proposed a neural network (NN) metamodeling method to generate the cycle time (CT throughput (TH) profiles for single/multi-product manufacturing environments.
As introduced previously the MCB is a polynomial set of cycles which can be used to generate the cycle space.
As a subset of the MCB the essential cycles do not form a basis and cannot be used to generate the cycle space.
The MCB is non-unique when there are multiple minimum cycle bases and an arbitrary choice of a single basis can generate the cycle space.
When there is more than one basis with the same weight the choice between them is arbitrary as either can be used to generate the cycle space.
In the 20-tap FIR benchmark, 2 blocks of 512 samples are used to generate the cycle and energy figures, as done in [26].
The rest of the cycles (examples are shown in Fig. 3B with the black dotted arrows) did not generate the cycle flux.
The Power SYBR® Green PCR MasterMix was used in conjunction with the StepOnePlus™ Real-time PCR System (ABI) and the equivalent of 5 ng of the cDNA to generate the real-time plots which were then processed by its associated software, StepOne™ Software v2.0.1, in order to generate the cycle threshold (Ct) values.
We hypothesize that this interaction could play a key role in generating the population cycles.
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