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However, TAG distribution continued changing.
Especially, as an industrial example of non-uniform random tag distribution, the simple sectionalized warehouse management is considered to evaluate the performance of AINetHE-RA.
In simulation experiments, the effects of such parameters as time slots, frequency channels, power values and locations are first investigated, and the total effective interrogation area and the number of identified tags are evaluated for the single and multiple density tag distribution.
Also, based on the assumption of a uniform tag distribution among all readers,.
Table 7 presents the tag distribution considering the service granularity and with respect to the total count of tags found.
The unique tag distribution is only used for estimation of the diversity of unique tag obtained from the library.
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Tag distributions were smoothed and RPKM normalized using deepTOOLS.
Robu et al. (2009) studied the tag distributions from 500 websites collected fromdel.icio.us and examined the top 25 tags for each.
The resulting parallel operation provides significant reductions in tag reading delay for scenarios with low to moderate amounts of overlapped tags in the range of readers with all tag distributions except highly clustered ones.
We will look at the case of only for our analysis here; the effect of varying overlap factor along with nonuniform tag distributions is studied in detail through simulations in the following section.
The final sequence tag distributions were obtained by normalizing the GC corrected distribution by the baseline.
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