Foreign Object Debris (FOD) refers to any foreign material on the airfield that may injure and
threaten the aircraft and airport system. Due to the complex background on the airfield …

The recent surge in the prosperity of the Internet of Things (IoT) has been attracting an
increasing number of researchers and experts with great attention due to its significant economic …

In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning
technique, baselines are limited due to communication constraints. In this case, the accuracy is …

In this paper, a novel microwave power detection system based on Schottky diode is constructed
in order to measure microwave power in the LTE-band (1.8~2.7 GHz). The proposed …

In distributed training, communication often emerges as a bottleneck. In response, we introduce
Kimad, a solution that offers adaptive gradient compression. By consistently monitoring …

Efficient distributed training is a principal driver of recent advances in deep learning. However,
communication often proves costly and becomes the primary bottleneck in these systems. …

Unmanned Aerial Vehicle (UAV)-based distributed Synthetic Aperture Radar (SAR) is a
current research focus. Phase synchronization is crucial for eliminating the non-coherence of …

… Rui Wu, Jihao Xin, Zhiyuan Zeng, and Yanlei Li are with the National Key Laboratory of
Microwave … Jihao Xin received the BS degree in electrical engineering from the Beijing Institute of …

The shadows formed by fast-moving vehicles on a pavement PV array exhibit complex
dynamic random distribution characteristics, which can cause a dynamic multipeak PV curve. …

Distributed training enables large-scale deep learning, but suffers from high communication
overhead, especially as models and datasets grow. Gradient compression, particularly …