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Marginal support

We can obtain efficiently by using Proposition 4 as follows we can first traverse Ts until subsequence s is found, with computing marginal support, support(( V)lft) (see Note 7). We can then have < ,<). We can further traverse Ts from node (0, r), keeping. Note here that in this traversal, we can reduce the size of <2<, )by using the first rule CT., = CLpar,, each... [Pg.72]

We can use any algorithm for mining frequent subgraphs (subsequences) to compute the marginal support in Q with the traversal over T (and T). As mentioned above, for this purpose, we use gSpan and PrefixSpan for graphs and sequences, respectively. [Pg.79]

In 2008 Michael Elliott and colleagues at the University of Pennsylvania Wharton Risk Center published a study ( Linking Oil and RMP Data Does Everyday Safety Prevent Catastrophic Loss ) that provided no evidence of a correlation between low Oil rates and low process safety incident rates and only marginal support for a correlation that high Oil rates might predict further high-consequence process safety events. [Pg.52]

Xi < C i = 0) This situation corresponds to correctly classified patterns situated on the hyperplanes that border the SVMC OSH, i.e., patterns +1 are situated on the hyperplane wxi + b = +1), whereas patterns -1 are situated on the hyperplane (wxi + b = —1). The distance between these patterns and the separating hyperplane is l/ w. Such a pattern is called a margin support vector. [Pg.322]

Amalgam restorations are prepared by mixing a powdered alloy with mercury to form a plastic moldable mass that is packed or condensed iato the prepared cavity. The cavity is designed to provide mechanical retention, maximum marginal mass, support to absorb the functional stresses transmitted through the restoration, and maximum protection to the remaining tooth stmcture. The restoration reestabUshes the normal tooth anatomical form and function. [Pg.482]

The determination of the first bending critical speed is well established however, there is also concern with regard to the rotor support system s sensitivity to exciting forces. These come from unbalance and/or gas dynamic forces arising during operation in service. Operation with dirty corrosive gas will soon cause rotor unbalance. The rotor dynamics verification test is concerned with synchronous excitaticm, namely unbalance. The test must also verify that the separation margins are to specification. [Pg.412]

The Seismic Safety Margins Research Program developed a computer code called SMACS (Seismic Methodology Analysis Chain with Statistics) for calculating the seismic responses of structures, systems, and components. This code links the seismic input as ensembles of acceleration time histories with the calculations of the soil-structure interactions, the responses of major structures, and the responses of subsystems. Since uses a multi-support approach to perform the time-history response calculations for piping subsystems, the correlations between component responses can be handled explicitly. SMACS is an example of the codes that are available for calculating seismic response for PSA purposes. [Pg.192]

Both tear resistance and hysteresis increase on incorporation of silica, but the effect is less pronounced as compared to the stress-strain properties. Tension set of the ZnO-neutralized m-EPDM system is low (around 20%) and incorporation of filler causes only a marginal increase in set due to chain slippage over the filler surface, as previously discussed. Measurement of physical properties reveal that there occurs an interaction between the filler surface and the polymer. Results of dynamic mechanical studies, subsequently discussed, support the conclusions derived from other physical properties. [Pg.447]

Develop final Perform structural design of analysis of component acceptable accuracy Determine structural response—stresses, support reactions, deflections, and stability—based on a structural analysis of acceptable accuracy. Determine acceptable accuracy based on economic value of component, consequences of failure, state-of-the-art capability in stress and stability analysis, margin of safety, knowledge about loads and materials properties, conservatism of loads, provisions for further evaluation by prototype testing... [Pg.8]

The design is supported by stress, fatigue, buckling and safety analysis, and relies on standard steel. Only in localized areas would higher quality (albeit still standard) steel be needed. Carbon hber instead of steel pre-tensioning cables may provide higher performance at a marginal cost increase, but are not strictly required. [Pg.80]

This Study has shown that reasonably uniform platinum crystallites can be made on y-alumlna, and that platinum and palladium can be segregated and maintained In that form for the most part even after exposure to high temperature oxidation-reduction conditions. Highly dispersed clusters of palladium, nickel, cobalt, and Iron can be observed. Cluster size determination could not be accurately made because of the lack of contrast between the cluster and the support. The marginal detectability by EDS for these clusters enabled elemental Identification to be made, however, mass uniformity determinations could not be made. [Pg.384]


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See also in sourсe #XX -- [ Pg.69 , Pg.70 , Pg.72 , Pg.79 ]




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Margin

Margin support vectors

Marginalization

Margining

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