SHAPE OPTIMIZATION OF AN INTEGRATED MAST FOR RCS REDUCTION OF A STEALTH NAVAL VESSEL



Classifying Unstable and Stable Walking Patterns Using Electroencephalography Signals and Machine Learning Algorithms

Analyzing unstable gait patterns from Electroencephalography (EEG) signals is vital to develop real-time brain-computer interface (BCI) systems to prevent falls and associated injuries.This study investigates the feasibility of classification algorithms to detect walking instability utilizing EEG signals.A 64-channel Brain Vision EEG ssp218dda-sf s

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Lightweight Power Bogie for Power Concentrated EMUs

According to the requirements of power concentrated EMUs, a lightweight motor bogie suiting "high-speed sweet life carts railway network" and "general speed railway network" was developed.The main technical and structural characteristics of the bogie was expounded as following: the bogie used B0 axis, the driving device adopt a driving gear + flexi

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