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EN
With a continued strong pace of artificial intelligence, the way of formulating the flight day plan has a significant impact on the efficiency of flight training. However, through extensive research, we find that the scheduling of flight days still relies on manual work in most military aviation academies. This method suffers from several issues, including protracted processing times, elevated error rates, and insufficient degree of optimization. This article provides a comprehensive analysis of automated flight scheduling using a goal programming algorithm and details the implementation of the corresponding algorithm on the LINGO platform. The study enhances the flexibility and robustness of the model by setting bias variables, wherein the flight courses for students and instructors can be automatically and reasonably scheduled.
EN
TiO2-ZSM-5/ceramic fiber composite was successfully prepared for the first time by impregnation and applied to remove toluene in the atmosphere and RhB in wastewater. Optional values for TiO2loading and calcination temperature were discussed. The composites were characterized by XRD, SEM, TEM, UV-vis and N2 adsorption-desorption. The results showed that TiO2loading amount affects the crystal formation, distribution, pore size and adsorption capacity for pollutants, which in turn determines the adsorption performance and photocatalytic activity of the composite. Composites calcined at 550 ℃ with 12.7 wt. % TiO2loading can degrade toluene and RhB most effectively, with the maximum degradation rates of 39.99% and 92.70%, respectively. In addition, materials have been proven to have high degradation stability being recycled 4 times. The TiO2-ZSM-5/ceramic fiber prepared in this study can degrade atmospheric and industrial wastewater pollutants. Therefore, TiO2-ZSM-5/ceramic fiber has high comprehensive practical value in the field of environmental pollutant removal.
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