Sentence examples for exploiting the time from inspiring English sources

My primary criterion for judging the two candidates was the extent to which they actually addressed these excellent questions, rather than exploiting the time for their own purposes.

Bedini et al.[18] have developed algorithms for the separation of correlated sources found in astrophysical applications based on multiple-lag data covariance matrices, i.e. by exploiting the time structure of sources.

Fully exploiting the Time Of Flight (TOF) capability would allow not only to increase the Signal-to-Noise ratio (SNR) / Noise Equivalent Count Rate (NECR) but also to get rid of the huge background coming from neighboring organs i.e. the bladder.

In this paper we have implemented a system capable to acquire a large data set from a wide region surrounding a single injection point, exploiting the time information to recover a 3D tomography.

In [13 15], a framework for opportunistic scheduling that maximizes the system performance by exploiting the time-varying channel conditions of wireless networks is presented.

As fairness and throughput are reciprocally related, an intelligent compromise is necessary to obtain the required QoS while exploiting the time-varying characteristics of the wireless channel.

The performances of the prototypes have been measured on the monochromatic beam of a steady source and exploiting the time-of-flight technique at a pulsed neutron source.

Instead of exploiting the time-averaged throughput and the linear, logarithmic, or exponential function of the HoL delay, we use a fuzzy function of the HoL delay coupled with time-averaged channel quality as introduced in [21].

Traditionally, the research on packet scheduling has emphasized QoS and fairness issues, and opportunistic scheduling algorithms have focused on exploiting the time-varying nature of the wireless channels in order to maximize throughput.

These issues need proper management for any of the relational, object-relational or big data management research paradigms; and aim at data modeling and successfully exploiting the time-dependent characteristics for these paradigms ranging from the temporal based models to query models.

Exploiting the time-relatedness of phenotypic measurements may in part compensate for the large sample sizes needed to detect epistasis in genomic studies.