A5101235450- Power Systems and Renewable Energy
- Power Systems and Technologies
- Satellite Communication Systems
- Optical Wireless Communication Technologies
- Smart Grid and Power Systems
- Space Satellite Systems and Control
- Video Surveillance and Tracking Methods
- Analytical Chemistry and Sensors
- Gas Sensing Nanomaterials and Sensors
- E-commerce and Technology Innovations
- Advanced Memory and Neural Computing
- Advanced Technologies in Various Fields
- Advanced Neural Network Applications
- Wireless Sensor Networks and IoT
- Electrical Contact Performance and Analysis
- Neural Networks and Applications
- Railway Systems and Energy Efficiency
- Advanced Image and Video Retrieval Techniques
- Machine Learning and ELM
- Thermal Analysis in Power Transmission
- CCD and CMOS Imaging Sensors
- Multimodal Machine Learning Applications
- Advanced Data and IoT Technologies
Beihang University
2025
China Electronics Technology Group Corporation
2023-2024
Southwest Jiaotong University
2024
Economic Research Institute
2015
A novel framework of the unmanned aerial vehicle (UAV)-mounted active simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) communications with non-orthogonal multiple access (NOMA) is proposed for Internet-of-Things (IoT) networks. In particular, an STAR-RIS deployed onboard to enhance communication link between base station (BS) IoT devices, NOMA utilized supporting multi-device connectivity. Based on framework, a system sum rate maximization problem...
Abstract In dual traction power supply systems, the overhead catenary system operates in different modes. It passes across AC section, DC and a neutral part, which influences features properties of feedback current aggregates its effects on stray rail potential. This research paper presents an integrated model (TPS), along with unified chain equivalent circuit model, ground wire through insulation joints fixed AC–DC section under operating positions. To make impedance admittance matrix for...
Chemical production activities cause large amounts of ammonia to evaporate into the atmosphere, degrading air quality and even endangering public health, so monitoring in real time is significant. Traditional detection techniques, including spectrometers, chromatography, pumping methods, are characterized by high costs, complex operation, significant delays, limited compatibility, which obstructs immediate identification timely provision information. Due their distinct benefits such as...
Hardware-aware Neural Architecture Search (NAS) technologies have been proposed to automate and speed up model design meet both quality inference efficiency requirements on a given hardware. Prior arts shown the capability of NAS hardware specific network design. In this whitepaper, we further extend use Intel Movidius VPU (Vision Processor Units). To determine hardware-cost be incorporated into process, introduced two methods: pre-collected device device-specific VPUNN. With help NAS, for...
In the tasks of robotic interaction with its surrounding environments, it is critical to judge properties objects quickly and accurately. Existing high-definition cameras tactile sensors can collect high-precision visual information, but cannot comprehensively describe surface from single-modality. Hence, how establish cross-modal fusion between plays an important role in material judgement. To achieve above target, we propose a Hashing Learning For Cross-Modal Material Surface Retrieval....
To address the problems of single information source and lack real-time existing network security posture prediction, an extreme learning machine based power prediction model is proposed by examining characteristics change in order to accurately grasp development posture. First, value data set constructed using sliding window method, training sample used train limit neural portray backward forward dependencies at different moments predict next moment. The effectiveness verified dataset on...