Sentence examples for sensor sequence from inspiring English sources

We exploit the Pyramid Match Kernel, with a strength in approximate matching on hierarchical concepts, to recognise activities of varying grained constraints from a potentially noisy sensor sequence.

Within KCAR, we explore the semantics underlying each sensor event and use semantic dissimilarity to segment a continuous sensor sequence into fragments, each of which corresponds to one ongoing activity.

This was realized by the design of (i) a "universal" oligonucleotide "tagged" polymerase chain reaction (PCR) forward primer, (ii) a sensor sequence complementary to the universal sequence on the forward PCR primer modified with a fluorescent dye, and (iii) a universal oligonucleotide coupled to Luminex microspheres.

Both algorithms provide the best sensor sequence by minimizing a predicted expected scheduler cost over a finite time-horizon.

Once the conditional probabilities for the th sensor codeword are computed, an estimation of the original sensor sequence would be obtained by performing (1) iterative LDGM decoding based on in an independent fashion with respect to the LDGM decoding procedures of the other sensors and (2) an outer BCH decoding based on the hard-decoded sequence at the output of the LDGM decoder.

As shown in this plot, this graph is built by interconnecting different subgraphs: the graph modeling the statistical dependence between and for all (labeled as SENSING), the factor graph that relates sensor sequence to codeword through the LDGM parity check matrix and the BCH code (to be later detailed), and the relationship between the received sequence and the codewords, with (labeled as MAC).

Finally, the recovered sensor sequences would be fused to render the estimation as (4).

that is, by symbolwise majority voting over the estimated sensor sequences.

Particularly, the statistical relation between sensor sequences is exploited in one of the compounding factor subgraphs of the receiver, as will be later detailed.

However, the performance of the above separate approach can be easily outperformed if one notices that, since we assume (see Section 2), the sensor sequences are symbolwise spatially correlated, that is (5).

The sensor sequences (2×PT) were synthesized as DNA oligonucleotides (Invitrogen) and placed into the 3'UTR of the pCS2+-EGFP plasmid.