It is not possible to evaluate which estimate is more accurate, however this example highlights the importance of data processing, how it can lead to large differences in the estimates, and the need for transparency about data processing decisions.
However, for large data applications, the transmission delay for whole set of data should be more considered, since after all information received the data processing process can be started.
Other parameters, including array and experimental design, protocols and data processing procedures, can affect array data independently of biological processes.
Advances in sensor chips are delivering predictable, rapid progress in the amount of data processing that can be done per unit of energy.
So the overall system data processing efficiency can be improved.
I am quite skeptical, in particular of the data processing that can take spectrally sampled data, and infer time variations.
The exploitation of in-network data processing techniques can reduce the aforementioned complexities.
To optimize the efficiency, the data processing tasks can be moved from one node to another.
Dataflows (or data processing workflows) can be represented as directed acyclic graphs (DAGs) that express the dependencies between computations and data.
Data processing instructions can affect destination registers as well as the Application Program Status Register (APSR), which is commonly known as ALU status flags in other processor architectures.
