Power transmission lines are a critical component of the entire power system,and ice accretion incidents caused by various types of power systems can result in immeasurable harm.Currently,network models used for ice d...Power transmission lines are a critical component of the entire power system,and ice accretion incidents caused by various types of power systems can result in immeasurable harm.Currently,network models used for ice detection on power transmission lines require a substantial amount of sample data to support their training,and their drawback is that detection accuracy is significantly affected by the inaccurate annotation among training dataset.Therefore,we propose a transformer-based detection model,structured into two stages to collectively address the impact of inaccurate datasets on model training.In the first stage,a spatial similarity enhancement(SSE)module is designed to leverage spatial information to enhance the construction of the detection framework,thereby improving the accuracy of the detector.In the second stage,a target similarity enhancement(TSE)module is introduced to enhance object-related features,reducing the impact of inaccurate data on model training,thereby expanding global correlation.Additionally,by incorporating a multi-head adaptive attention window(MAAW),spatial information is combined with category information to achieve information interaction.Simultaneously,a quasi-wavelet structure,compatible with deep learning,is employed to highlight subtle features at different scales.Experimental results indicate that the proposed model in this paper outperforms existing mainstream detection models,demonstrating superior performance and stability.展开更多
In the process of building a new power system dominated by new energy sources,power storage is a key supporting technology that ensures the safe and stable operation of the power grid,enables the flexible regulation o...In the process of building a new power system dominated by new energy sources,power storage is a key supporting technology that ensures the safe and stable operation of the power grid,enables the flexible regulation of the system,and raises the level of new energy consumption.It is also key to achieving carbon peak and neutrality as well as energy transformation.展开更多
Multiplexing techniques have always been one of the important components of optical communication research.These techniques can transmit multiple signals in a shared information channel and can greatly increase the ma...Multiplexing techniques have always been one of the important components of optical communication research.These techniques can transmit multiple signals in a shared information channel and can greatly increase the maximum capacity of an information channel.The Dirac-vortex cavity is a type of photonic crystal surface emission system,and its characteristics of miniaturization and high stability make it very suitable for on-chip optical system.In this paper,we realized dual-channel emission of the Dirac-vortex cavity,which is achieved by modulating the size and phase of hexagonal holes in the hexagon lattice.The characteristics of dual-channel emission are investigated by numerical simulation,and the dual-channel emission rules are summarized.The double Diracvortex cavity model is not only explored for its multiplexing capability but also as an alternative scheme for the application of Dirac-vortex cavity in multiplex communication systems.展开更多
文摘Power transmission lines are a critical component of the entire power system,and ice accretion incidents caused by various types of power systems can result in immeasurable harm.Currently,network models used for ice detection on power transmission lines require a substantial amount of sample data to support their training,and their drawback is that detection accuracy is significantly affected by the inaccurate annotation among training dataset.Therefore,we propose a transformer-based detection model,structured into two stages to collectively address the impact of inaccurate datasets on model training.In the first stage,a spatial similarity enhancement(SSE)module is designed to leverage spatial information to enhance the construction of the detection framework,thereby improving the accuracy of the detector.In the second stage,a target similarity enhancement(TSE)module is introduced to enhance object-related features,reducing the impact of inaccurate data on model training,thereby expanding global correlation.Additionally,by incorporating a multi-head adaptive attention window(MAAW),spatial information is combined with category information to achieve information interaction.Simultaneously,a quasi-wavelet structure,compatible with deep learning,is employed to highlight subtle features at different scales.Experimental results indicate that the proposed model in this paper outperforms existing mainstream detection models,demonstrating superior performance and stability.
文摘In the process of building a new power system dominated by new energy sources,power storage is a key supporting technology that ensures the safe and stable operation of the power grid,enables the flexible regulation of the system,and raises the level of new energy consumption.It is also key to achieving carbon peak and neutrality as well as energy transformation.
基金National Natural Science Foundation of China(12404423,62375007,62405012)Natural Science Foundation of Beijing Municipality(1232024)Applied Basic Research Fund of School of Physics and Optoelectronic Engineering,Beijing University of Technology(ABRFSPOE03).
文摘Multiplexing techniques have always been one of the important components of optical communication research.These techniques can transmit multiple signals in a shared information channel and can greatly increase the maximum capacity of an information channel.The Dirac-vortex cavity is a type of photonic crystal surface emission system,and its characteristics of miniaturization and high stability make it very suitable for on-chip optical system.In this paper,we realized dual-channel emission of the Dirac-vortex cavity,which is achieved by modulating the size and phase of hexagonal holes in the hexagon lattice.The characteristics of dual-channel emission are investigated by numerical simulation,and the dual-channel emission rules are summarized.The double Diracvortex cavity model is not only explored for its multiplexing capability but also as an alternative scheme for the application of Dirac-vortex cavity in multiplex communication systems.
