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An Assisted Method for Multitemporal SAR Image Registration
Zhengyu Chen;Ruya Xiao;Xiaoyuan Gao;Dong Liang;Dezhi Zhang;Jingyi Sun
Precise registration of multitemporal synthetic aperture radar (SAR) images is a crucial step in Interferometric SAR (InSAR) data processing and serves as the foundation for high-precision interferometric measurements. Regular SAR image registration methods rely on the coherence between images. However, when faced with decorrelation issues, these methods often fail to yield high-precision registra...Show More
A Study on the Optimal Allocation of Distributed PV Considering Low Carbon Optimisation
2024 5th International Conference on Clean Energy and Electric Power Engineering (ICCEPE)
Year: 2024 | Conference Paper |
With the increasing installed capacity of distributed photovoltaic (PV) in distribution grids, the stable operation of distribution grids is challenged. This paper proposes a PV siting and capacity-setting method that takes dynamic carbon emissions into account, in order to fully exploit the distribution network to achieve low-carbon optimal operation of regional distribution networks through dist...Show More
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-Engines
Zixuan He;Ziqian Kong;Zhengyu Chen;Yuling Zhan;Zijun Que;Zhengguo Xu
2024 China Automation Congress (CAC)
Year: 2024 | Conference Paper |
Accurate remaining useful life (RUL) predictions are critical to the safe operation of aero-engines. Currently, the RUL prediction task is mainly a regression paradigm with only mean square error as the loss function and lacks research on feature space structure, the latter of which has shown excellent performance in a large number of studies. This paper develops a multi-granularity supervised con...Show More
Carbon Emission Distribution Prediction Based on BP Neural Network and Probabilistic Power Flow
2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA)
Year: 2023 | Conference Paper |
Carbon emissions from the power system have always accounted for a large proportion. The addition of distributed generation can reduce the carbon emission in the power system, but the instability and high wave quality of distributed generation also lead to the instability of carbon emission in the power system. Therefore, a method based on back propagation(BP) neural network and probabilistic flow...Show More
Physical Layer Key Generation Scheme for MIMO System Based on Feature Fusion Autoencoder
Yanru Chen;Zhengyu Chen;Yuanyuan Zhang;Zhiyuan Luo;Yang Li;Bin Xing;Bing Guo;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (10)
Recently, the use of wireless channel state information (CSI) to generate encryption keys in the physical layer has gained significant attention from researchers. Unlike classical cryptography, this approach relies on the variability of the wireless channel, channel reciprocity, and spatial decorrelation to ensure security, making it more lightweight and providing strong randomness. This article p...Show More
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