12/28/2023 0 Comments Hypercube schemeHowever, due to assembly limitations, it is not always feasible to observe the leakage of each tribological contact individually with a flow rate sensor. Leakage observations can be used to optimize the pump design and monitor the behavior of the tribological contact. The leakage of the tribological contact in axial piston pumps significantly impacts the pump efficiency. LHS is more efficient than simple random sampling in a large range of conditions.Keywords:Latin hypercube sampling uncertainty analysis sensitivity analysis rank correlation hurricane loss projection uncertainty importance The values of the stratified sampling scheme can be paired to ensure a desired correlation structure among the k input variables. If an input variable is not important, then the method of sampling is of little or no concern. By sampling over the entire range, each variable has the opportunity to show up as important, if it indeed is important. This means that a single sample will provide useful information when some input variable(s) dominate certain responses (or certain time intervals), while other input variables dominate other responses (or time intervals). Latin hypercube sampling (LHS) uses a stratified sampling scheme to improve on the coverage of the k-dimensional input space for such computer models. In addition, the model response is frequently multivariate and time dependent. Such models are usually characterized by a large number of input variables (perhaps as many as a few hundred), and usually, only a handful of these inputs are important for a given response. We combine analysis of given protocol participant placement via a simulator and manual post-processing to provide a simpler, practically usable hybrid protocol with less steps and lower communication overhead, yet still better in terms of re-secured links than previously proposed protocols.This chapter discusses the use of computer models for such diverse applications as safety assessments for geologic isolation of radioactive waste and for nuclear power plants loss cost projections for hurricanes reliability analyses for manufacturing equipment transmission of HIV and subsurface storm flow modelling. We inspect classes of secrecy amplification protocols known as node-oriented and group-oriented protocols proposed for use in wireless sensor networks (WSN). Design of suitable secrecy amplification protocols remains a challenge in scenarios where a trade-off between necessary resources (e.g., energy necessary for transmission of message) and improvement in the number of secure links must be balanced. The secrecy amplification protocols were proposed to secure again some previously compromised communication links by using non-compromised paths to deliver new secure keys. Usage of various key (pre-)distribution schemes (KDSs) in networks with an active attacker results in a partially compromised network where some fraction of keys used to protect link communication is known to the attacker. Comparison with our group supported scheme (will be described later) is presented in section. The node capture resilience is significantly increased by the hypercube scheme as presented on Figure 2. Otherwise nodes close on a virtual path can be in distant parts of the network physically, connectable only by the multi-hop communication and key exchange then poses a significant communication overhead. Moreover, some matching between virtual hypercube layout and physical layout of nodes after deployment should be maintained. Knowledge of compromise nodes/links is vital for the scheme – otherwise all possible paths must be tried with related significant communication overhead to obtain level of node capture resilience analyzed by authors of the scheme. If at least one non-compromised path exists, secure pairwise key can be established. With the growing dimension of the hypercube, number of such paths is significant. The proposed scheme assumes that compromised nodes/links are known and thus the non-compromised path can be selected. New pairwise key is then generated on A and transported with re-encryptions over intermediate nodes C j to node B. index in at least one dimension), C i with C i + 1 and C n with B.
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