2 results match your criteria: "Engineering and Technical Research Center of Civil Aviation Safety Analysis and Prevention[Affiliation]"
Time-feature attention-based convolutional auto-encoder for flight feature extraction.
Sci Rep
August 2023
Engineering and Technical Research Center of Civil Aviation Safety Analysis and Prevention, China Academy of Civil Aviation Science and Technology, Beijing, 100028, China.
Article Synopsis
- - The study focuses on using Time-Feature Attention (TFA)-based Convolutional Auto-Encoder (TFA-CAE) to analyze Quick Access Recorders (QARs) for improved flight safety and quality assurance due to their complex data characteristics.
- - The TFA-CAE model outperforms traditional methods like PCA and GRU-AE in extracting key flight features from QAR data, enabling better recognition of flight patterns and detection of anomalies.
- - The findings suggest that the TFA-CAE model can enhance the utility of QAR data for applications like flight risk detection and Flight Operation Quality Assurance (FOQA).
Structure of Industrial Sacrificial Fragile Cementitious Foams.
ACS Omega
August 2022
Engineering and Technical Research Center of Civil Aviation Safety Analysis and Prevention, China Academy of Civil Aviation Science and Technology, Beijing 100028, P. R. China.
Sacrificial fragile cementitious foams (SFCFs) act as a core material of the engineered material arresting system (EMAS) installed in airports to enhance the safe take-offs and landings of aircrafts. The foam structures and foaming mechanisms that greatly impact the collapse strength, specific energy, and arresting efficiency of SFCFs, however, have not been fully addressed. Herein, the engineering properties, chemical characteristics, and pore-skeleton structures of three batches of industrial SFCFs were experimentally investigated.
View Article and Find Full Text PDF