IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding.However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant challenges Shoulder Cover for motor imagery decoding.Sparse regularization is an effective method for ad
Validation of a Mid-Fidelity Numerical Approach for Wind Turbine Aerodynamics Characterization
This work is aimed at investigating the capabilities and limits of the mid-fidelity numerical solver DUST for the evaluation of wind turbines aerodynamic performance.In particular, this study was conducted by analysing the benchmarks NREL-5 MW and Phase VI wind turbines, widely investigated in the literature via experimental and numerical activitie
Rail Corrugation Characteristics Deduced from a Wavelet Analysis of High-Speed Train Interior Noise and Vibration
A method to deduce the characteristics of rail corrugation was developed and presented in this paper.It has been found that noise and vibration in the train vehicle were primarily contributed by rail corrugation and wheel polygonalisation.As the characteristics of wheel sets of a particular train can be assumed to be unchanged during a trip, rail c
Modelling of dynamically stable AR-601M robot locomotion in Simulink
Humanoid robots will gradually play an important role in our daily lives.Currently, research on anthropomorphic Console Wire robots and biped locomotion is one of the most important problems in the field of mobile robotics, and the development of reliable control algorithms for them is a challenging task.In this research Stove Burner two algorithms