Steel beam longitudinal barriers protect errant vehicles from roadside hazards; when impacted, they safely redirect the impacting vehicle and minimize the probability of serious injury.
In the proposed fuzzy AODV, important node metrics such as node residual energy and mobility are considered to construct a reliable route and minimize the probability of route failure during data packet transmission.
The hegemony of these findings further advocates the capability of the mixture Bayesian network approach to uncover evidence on gene relationships contained in the data and minimize the probability of networks predicted by chance alone.
In [15], the genetic algorithm is used with two criteria: (1) maximizing the probability of detection (i.e., the capability of a SU to determine if a PU is using a certain portion of spectrum) and (2) minimizing the probability of false alarm (i.e., sensing the presence of a PU while it is not), for an optimal space allocation.
Other design criteria, such as maximizing the channel capacity [8] and minimizing the outage probability [13], are based on some specific channel estimation algorithms.
The proposed approach is illustrated by two examples in evaluating reliability with inspection information and in selecting an optimal inspection and maintenance schedule by minimizing the probability of time to failure before inspection and before the time at the end of remaining service life.
To identify PCR primers for a non-model group, the genus Leucadendron (Proteaceae), we adopted a framework aimed at minimizing the probability of paralogy and maximizing polymorphism.
The proposed scheme has outperformed in minimizing the probability of handover failures and unnecessary handovers when compared with conventional methods.
In this simulation, we compare the performance via minimizing the probability of packet loss described in (71) and minimizing the average packet delay as in [21, 22].
