Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis

In many scenarios of security analysis, Bayesian methods are often used for assessing harmful factors like attacks, as Bayesian causal model can estimate or predict the effect from the observed factors.To distinguish which ones are direct or significant causal (harmful) factors to the target systems, we often need to calculate a (local) causal netw

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Longitudinal Force Bearing Capacity Analysis of Slave Locomotiveswith 13A/QKX100 Coupler/Draft Gear System in Heavy Haul Train

For studying longitudinal force bearing capacity of slave locomotives in heavy haul trains, nonlinear draft gear models and detailed coupler models were developed after the analysis of working mechanism of 13A/QKX100 coupler/draft gear systems.By utilizing a train model consisted of one HXD1 8-axle locomotive and two C80 freight wagons, dynamic beh

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