Sentence examples for control generation from inspiring English sources
For example, power grid systems have humans that control usage; operators that control distribution and even control generation (reselling of power generated by solar panels back to the grid).
From the end users' point of view, this caused supply interruptions for reasons outside their control (generation, operations, maintenance, and distribution).
Its entry point is a domain-specific language (DSL) which handles the complexity of programming an FPGA and integrates some SDR features so as to enable automatic waveform control generation from a data frame model.
Sperm were extracted from the cauda epididymus as previously described [19], from a total of six F3 vinclozolin generation animals and six F3 control generation animals.
Therefore, animals were divided into four groups: three vinclozolin generation animals and three control-generation animals from the first exposure (V1 and C1 respectively), and three vinclozolin generation animals and three control generation animals from the second exposure (V2 and C2 respectively).
Significance was assigned to probe differences between vinclozolin generation and control generation by calculating the median value of the interesting differences as compared to a normal distribution scaled to the experimental mean and standard deviation of the mean.
This differential regulation between subsequent control generations was attributed to possible differences in synchronization of the molting and reproductive cycle of the daphnids in the different generations.
An important observation was the large number of genes that were differentially transcribed between different control generations with no pre-exposure history.
For some reason (The impatience of the remote-control generation? The demands of the perpetual news cycle?) we seem to need to know who won months before an election.
Esmail went on to talk about how these angry young people used "social media and technology, which the older controlling generation didn't know to use," and "brought about really positive change".
Using a series of linguistically and semantically motivated constraints, the proposed approach controls generation of less-informative/sub-optimal training and test instances.
