Research on Substation Video Surveillance Data Encryption Based on Improved Tent Chaos Map

Gao, Qian; Zheng, Weiliang; Xue, Tao; Teng, Jun

doi:10.1109/spies55999.2022.10082642

Cited by 1 publication

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“…However, it h been shown that the distribution of Logistic mapping is non-uniform and biased towa the extremes, which adversely affects the speed and accuracy of finding the optim solution [31]. Tent mapping [32] exhibits a more uniform distribution, but it is prone convergence towards stationary points. In comparison, Circle mapping demonstrate more stable distribution with uniform values across the range, as depicted in Figur Therefore, this pepar the Circle chaotic mapping is employed to initialize the population the gray wolf algorithm.…”

Section: Improved Gray Wolf Optimization Algorithm (Igwo) 231 Optimiz...mentioning

confidence: 99%

Temperature Compensation of Wind Tunnel Balance Signal Detection System Based on IGWO-ELM

Dong,

Xu,

Cao

et al. 2023

Sensors

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The wind tunnel balance signal detection system is widely employed in aerospace applications for the accurate and automated measurement of aerodynamic forces and moments. However, measurement errors arise under different environmental temperature. This paper addresses the issue of measurement accuracy under different temperature conditions by proposing a temperature compensation method based on an improved gray wolf optimization (IGWO) algorithm and optimized extreme learning machine (ELM). The IGWO algorithm is enhanced by improving the initial population position, convergence factor, and iteration weights of the gray wolf optimization algorithm. Subsequently, the IGWO algorithm is employed to determine the optimal network parameters for the ELM. The calibration decoupling experiment and high-low temperature experiment are designed and carried out. On this basis, ELM, GWO-ELM, PSO-ELM, GWO-RBFNN and IGWO-ELM are used for temperature compensation experiments. The experimental results show that IGWO-ELM has a good temperature compensation effect, reducing the measurement error from 20%FS to within 0.04%FS. Consequently, the accuracy and stability of the wind tunnel balance signal detection system under different temperature environments are enhanced.

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Section: Improved Gray Wolf Optimization Algorithm (Igwo) 231 Optimiz...mentioning

confidence: 99%

Temperature Compensation of Wind Tunnel Balance Signal Detection System Based on IGWO-ELM

Dong,

Xu,

Cao

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

Research on Substation Video Surveillance Data Encryption Based on Improved Tent Chaos Map

Cited by 1 publication

References 1 publication

Temperature Compensation of Wind Tunnel Balance Signal Detection System Based on IGWO-ELM

Temperature Compensation of Wind Tunnel Balance Signal Detection System Based on IGWO-ELM

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