Chuan Zhou

Terramechanics-Aware Adaptive Quadrupedal Locomotion via Foot-Terrain Interaction Model

Junlong Guo, Qingyang Wang, Peng Tian, Chenghua Tian et autres

cn (code pays fourni par la source)

Optimization and Simulation of a Broadband Vibration Energy Harvester for Self-Powered Transmission Line Applications

Jie Yang, Lihan Wang, Qishuai Liang, Chuan Zhou et autres

Traditional vibration energy harvesters face limitations such as narrow operating frequency bands and low power density under micro-wind excitations of transmission lines, which restrict their use in self-powered monitoring systems. This paper presents an optimized design method for a broadband piezoelectric-electromagnetic coupled …

cn (code pays fourni par la source)

Noncontact Current Measurement Method for Multicore Cables Considering Nonlinear Effects of Steel Tape Armor

Lihan Wang, Qishuai Liang, Ye Jiang, Chuan Zhou et autres

Steel tape armored multicore cables are critical components in the transmission and distribution of power in medium- and low-voltage networks. It is difficult to measure current in the individual conductors of multicore cables because they are enclosed within multilayer protective structures (e.g., …

cn (code pays fourni par la source)

Closed-Form Analytical Modeling of Sweep-Spin Grouser Wheels Traversing Granular Media for Planetary Rovers

Junlong Guo, Yakuan Li, Chenghua Tian, Chuan Zhou et autres

cn (code pays fourni par la source)

Privacy-Preserving Vertical Federated Learning via Adaptive Noise-Intensity Regulation for Embodied Intelligence

Xiangyun Tang, Hui Li, Yixuan Liu, Junxian Duan et autres

cn (code pays fourni par la source)

Inverse kinematics framework for a 2R-3R-2R upper-limb exoskeleton using vector method

Jiajia Wang, Shuo Pei, Junlong Guo, Chuan Zhou et autres

cn (code pays fourni par la source)

zkFL: Verifiable Byzantine-Robust Federated Learning Against Malicious Servers

Xiangyun Tang, Minyang Li, Yijing Lin, Liehuang Zhu et autres

In low-altitude networks, various aerial platforms such as unmanned aerial vehicles and airships cooperate to provide services including real-time monitoring, emergency response, and data collection. These platforms often operate with limited computing resources, restricted energy supply, and unstable wireless connectivity, making centralized …

cn (code pays fourni par la source)

Phenotyping inspection robot system via width-adjustable configuration and depth-sensing-based end-to-end deep reinforcement learning row-following algorithm

Junlong Guo, Peng Tian, Jingwen Li, Chenghua Tian et autres

cn (code pays fourni par la source)

Study of Lightning Response Characteristics of Lightning Arrester Based on Equivalent Circuit Model

Hao Teng, Fangda Fu, Haozhao Wang, Wu Yuyi et autres

Arresters are important components of power systems. Its aging status directly affects the effectiveness of over-voltage protection. The equivalent circuit modeling of aging status assessment of lightning arresters, especially the lightning response characteristics, have much practical significance. Multiple lightning strikes can accelerate …

us, cn (code pays fourni par la source)

A Raindrop Energy Harvester for Application to Microrobots

Xibin Li, Lianjian Luo, Chenghua Tian, Chuan Zhou et autres

The limitations of traditional fossil fuels have prompted researchers to develop new renewable energy technologies. Raindrop impact energy has become a research hotspot in the field of energy harvesting due to its wide distribution and renewability, especially in the self-energy supply of …

cn (code pays fourni par la source)

Estimation of Slip Ratio and Side Slip Angle of Wheeled Planetary Rovers Based on Trace Imprint

Nan Li, Junlong Guo, Liang Ding, Chenghua Tian et autres

This paper proposes a method to estimate the wheel slip ratio and side slip angle of wheeled rovers by processing images of wheel trace imprints. The proposed method extracts structural features from trace imprint images, such as the trace unit, trace contour, …

cn (code pays fourni par la source)

Optimization of deep learning architecture based on multi-path convolutional neural network algorithm

Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu et autres

Current multi-stream convolutional neural network (MSCNN) exhibits notable limitations in path cooperation, feature fusion, and resource utilization when handling complex tasks. To enhance MSCNN's feature extraction ability, computational efficiency, and model robustness, this study conducts an in-depth investigation of these architectural deficiencies …

cn (code pays fourni par la source)