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Keyword: Markov models
Ensemble of Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces
Classification of EEG signals in self-paced Brain Computer Interfaces (BCI) is an extremely challenging task. The main difficulty stems from the fact that start time of a control task is not defined. Therefore it is imperative to exploit the characteristics of the EEG data to the extent possible. In sensory motor self-paced BCIs, while performing…
Read More Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter
The paper describes the results of the system analysis of various options of electric inverter topologies for the use in the traction drive of an electrical helicopter. The paper explains the optimal choice, in terms of the design requirements and future operational conditions, and the type and topology of the electric inverter to supply the…
Read More Application of Modularization Idea of Fault Tree in Ship Pilotage Risk Decision Making
Ship pilotage risk decision-making problems, which is an important issue affecting the safety of navigation. Before the study on the risk decision of ship pilotage, all use direct analysis of fault tree methods. In this paper, through the process analysis of ship pilotage fault tree, the model of fault tree is standardized and simplified. The…
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