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In experiments 1 and 2, we set a one-step iteration for inside loop computation of ϕ for all the methods.
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Here, for protecting massively parallel loop computations against errors like soft errors, well-known replication schemes such as Dual Modular Redundancy (DMR) and Triple Modular Redundancy (TMR) must be applied to each single Processor Element (PE) rather than one based on application requirements for reliability and Soft Error Rates (SERs).
And its feasibility is demonstrated by performing full-loop computation of an industrial-scale circulating fluidized bed, but its flexibility to the complexities of industrial processes in configuration and hydrodynamics still needs to be increased further in order to develop a software package for chemical process and virtual reality technology development.
To test whether a smart phone is capable of running outpatient closed-loop control, we have configured a system comprising available components, which were linked as follows: CGM → iDex ↔ DiAs (running all closed-loop computations, user interface, and communications to peripheral devices) ↔ iDex ↔ pump.
The two neural sets do the bulk of the loop's computations while the control unit specifies the timing and the conditions under which the computations implemented by the loop are to be performed.
The frontal method can be very efficient for solving such systems on modern computer architectures because, in the innermost loop of the computation, the method exploits dense linear algebra kernels, which are straightforward to vectorize and parallelize.
We do so by translating the events to EvidenceStreamEvents, the event type that the initial loop phase (distance computation) expects.
In order to use this feature, the definition of a class is necessary, while a more simple solution would only require a loop with the computation code inside.
Algorithm 1 shows the main computation loop of GASSST with the series of filters.
These could be designated as 'signal computation loops' [SC-L]).
This matrix product is less computationally expensive than the loop of the natural computation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com