A5088080084- Indoor and Outdoor Localization Technologies
- VLSI and Analog Circuit Testing
- Inertial Sensor and Navigation
- Advancements in Photolithography Techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Hand Gesture Recognition Systems
- Human Pose and Action Recognition
- Advanced Photonic Communication Systems
- Full-Duplex Wireless Communications
- Millimeter-Wave Propagation and Modeling
- Gait Recognition and Analysis
- Brain Tumor Detection and Classification
- Image Processing Techniques and Applications
- GNSS positioning and interference
- Machine Learning and ELM
- Optical Wireless Communication Technologies
Shanghai Astronomical Observatory
2024
Institute of Computing Technology
2024
ShanghaiTech University
2024
Purple Mountain Laboratories
2022
Nanjing University of Posts and Telecommunications
2020
Abstract Satellite navigation positioning has become an indispensable component of everyday life, where precise pinpointing and rapid convergence are crucial in delivering timely accurate location information. However, due to the damping integer ambiguities system residual errors, Precise Point Positioning (PPP) implementation is a significant challenge. To address this, this paper proposes novel Carrier Phase Zero-Baseline Self-Differencing (CZS-PPP) technique its ionosphere-free fusion...
Deploying advanced large language models on edge devices, such as smartphones and robotics, is a growing trend that enhances user data privacy network connectivity resilience while preserving intelligent capabilities. However, task exhibits single-batch computing with incredibly low arithmetic intensity, which poses the significant challenges of huge memory footprint bandwidth demands limited resources. To address these issues, we introduce Cambricon-LLM, chiplet-based hybrid architecture...
This paper proposes the SeC-Learning Machine: Simplex-enabled safe continual learning for safety-critical autonomous systems. The SeC-learning machine is built on Simplex logic (that is, ``using simplicity to control complexity'') and physics-regulated deep reinforcement (Phy-DRL). thus constitutes HP (high performance)-Student, HA assurance)-Teacher, Coordinator. Specifically, HP-Student a pre-trained high-performance but not fully verified Phy-DRL, continuing learn in real plant tune...
Sign language recognition is challenging, due to the scarcity of available annotated corpora and difficulty large vocabulary. In this paper, we study task based on a Chinese SL database-DEVISIGN, but it only has few samples train deep network scratch. First, segment hand eliminate disturbance irrelevant factors. By analyzing special movement tendency sign words, propose two novel Key-frame selection schemes. Since no other datasets can have similar data distribution with our preprocessed...
With the large-scale commercialization of 5G and continuous evolution ultra-high-definition video industry, next five years will be a period strategic opportunities for technological development achievement transformation industry. mm-wave such as 28GHz in Ka-band drive rapid industry applications. In this paper, we experimentally demonstrate real-time full-duplex photonic-assisted communication system services. The experimental results show that our supports data error-free transmission...