Furthermore, Yang and Chang (2014) examined Markov machine repair model with threshold recovery policy to facilitate the performance analysis by taking some realistic factors into account.
However, our analytical model takes into account more realistic factors, including error-prone channels, multiple data rates, the finite retransmission limit, etc.
In real world, the reliabilities of components are imprecisely estimated or the reliability of some components may vary due to some realistic factors.
However, our analytical model takes into account more realistic factors, including the finite retransmission limit, the probability that the backoff counter is frozen when the channel is sensed busy, error-prone channels, and also multiple data rates.
This study examines the effects of some possible policies, considering realistic factors that constrain mitigation: end-uses, spatial constraints involving proximity to forest or electricity, existing technology, and assumptions about user behavior.
A framework was created on which to build systems analysis tools that focus on realistic factors within the manufacturing environment, such as information quantity, diversity and content; complexity (product, process and operational); task effort, and so forth.
The noble feature of the present model over other existing models lies in the incorporation of many key realistic factors such as N-policy, time sharing concept, provision of mixed standbys, and facility of additional removable server in case of heavy workload in a combined and collaborated manner for the performance modeling of machine repair system.
In this paper, we give a systematic study on the performances of shape representation and matching algorithms for pose discrimination, and we explore the influences of different realistic factors encountered in practical systems, such as yaw angle, camera tilt, silhouette noise, and the selection of training examples.
Besides, five sets of sensitivity analysis are conducted to identify the sensitivity of the assumed realistic factors (i.e. terrain profile, weather changes, traffic congestion, fuel price fluctuation and individual environmental preference) to the optimal results obtained from the proposed tools.
