K.M. Chen
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View article: <scp>Influence</scp> of Gate Dimensions on High Power Microwave Injection Effects for <scp>AlGaAs</scp> / <scp>GaAs pHEMT</scp>
<span>Influence</span> of Gate Dimensions on High Power Microwave Injection Effects for <span>AlGaAs</span> / <span>GaAs pHEMT</span> Open
High‐power microwaves (HPM) coupled into the RF front‐ends through antennas pose a significant threat to the low‐noise amplifier (LNA). As the core component of the LNA, the reliability of pHEMT devices faces major challenges. This paper p…
View article: Bayesian optimization for the local bump injection in the HLS-II storage ring
Bayesian optimization for the local bump injection in the HLS-II storage ring Open
Currently, a conventional local bump injection system with four pulsed dipole kicker magnets is adopted in the Hefei Light Source II (HLS-II) storage ring to achieve top-off operation. Due to the multipole magnets located between the kicke…
View article: 3D-SDIS：Enhanced 3D Instance Segmentation through Spectral Fusion and Dual-Sphere Sampling
3D-SDIS：Enhanced 3D Instance Segmentation through Spectral Fusion and Dual-Sphere Sampling Open
3D instance segmentation is essential in applications such as autonomous driving, augmented reality, and robotics, where accurate identification of individual objects in complex point cloud data is required. Existing methods typically rely…
View article: A few-shot learning-based dual-input neural network for complex spectrogram recognition system with millimeter-wave radar
A few-shot learning-based dual-input neural network for complex spectrogram recognition system with millimeter-wave radar Open
Graph data-driven machine learning methods for human activity recognition (HAR) have achieved success recently using sufficient data. In the realm of everyday life, we encounter a notable challenge: the scarcity of labeled radar samples. T…
View article: MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network
MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network Open
Driving behavior recognition based on Frequency-Modulated Continuous-Wave (FMCW) radar systems has become a widely adopted paradigm. Numerous methods have been developed to accurately identify driving behaviors. Recently, deep learning has…
View article: Flow Field Analysis and Structural Optimization of a Rotating Wind Collection Device
Flow Field Analysis and Structural Optimization of a Rotating Wind Collection Device Open
In this paper, a new type of wind collection device that can generate rotating wind for wind power generation has been designed to address the shortcomings of current wind power generation devices. This device can collect wind energy from …
View article: RFDANet: an FMCW and TOF radar fusion approach for driver activity recognition using multi-level attention based CNN and LSTM network
RFDANet: an FMCW and TOF radar fusion approach for driver activity recognition using multi-level attention based CNN and LSTM network Open
Dangerous driving behavior is a major contributing factor to road traffic accidents. Identifying and intervening in drivers’ unsafe driving behaviors is thus crucial for preventing accidents and ensuring road safety. However, many of the e…
View article: Radar-Based Human Motion Recognition by Using Vital Signs with ECA-CNN
Radar-Based Human Motion Recognition by Using Vital Signs with ECA-CNN Open
Radar technologies reserve a large latent capacity in dealing with human motion recognition (HMR). For the problem that it is challenging to quickly and accurately classify various complex motions, an HMR algorithm combing the attention me…