Edge intelligence: Architectures, challenges, and applications
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …
Review of the evolution and prevention of friction, wear, and noise for water-lubricated bearings used in ships
Z Zhang, W Ouyang, X Liang, X Yan, C Yuan, X Zhou… - Friction, 2024 - Springer
With the development of green tribology in the shipping industry, the application of water
lubrication gradually replaces oil lubrication in stern bearings and thrust bearings. In terms …
lubrication gradually replaces oil lubrication in stern bearings and thrust bearings. In terms …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Pressure-driven interface evolution in solid-state lithium metal batteries
The development of solid-state batteries has encountered a number of problems due to the
complex interfacial contact conditions between lithium (Li) metal and solid electrolytes (SEs) …
complex interfacial contact conditions between lithium (Li) metal and solid electrolytes (SEs) …
Temperature and pressure effects on unrecoverable voids in Li metal solid-state batteries
All-solid-state batteries (ASSB) can potentially achieve high gravimetric and volumetric
energy densities (900 Wh/L) if paired with a lithium metal anode and solid electrolyte …
energy densities (900 Wh/L) if paired with a lithium metal anode and solid electrolyte …
Rethinking how external pressure can suppress dendrites in lithium metal batteries
We offer an explanation for how dendrite growth can be inhibited when Li metal pouch cells
are subjected to external loads, even for cells using soft, thin separators. We develop a …
are subjected to external loads, even for cells using soft, thin separators. We develop a …
FT-CNN: Algorithm-based fault tolerance for convolutional neural networks
Convolutional neural networks (CNNs) are becoming more and more important for solving
challenging and critical problems in many fields. CNN inference applications have been …
challenging and critical problems in many fields. CNN inference applications have been …
Studying contact stress fields caused by surface tractions with a discrete convolution and fast Fourier transform algorithm
The knowledge of contact stresses is critical to the design of a tribological element. It is
necessary to keep improving contact models and develop efficient numerical methods for …
necessary to keep improving contact models and develop efficient numerical methods for …
Loaded contact pressure distribution prediction for spiral bevel gear
H Li, J Tang, S Chen, K Rong, H Ding, R Lu - International Journal of …, 2023 - Elsevier
Contact pressure and load distribution are key indices used in the performance evaluation of
spiral bevel gears, and their calculation accuracy and efficiency continue to be the focus of …
spiral bevel gears, and their calculation accuracy and efficiency continue to be the focus of …
[HTML][HTML] Micro-textures in concentrated conformal-contact lubrication: effects of texture bottom shape and surface relative motion
T Nanbu, N Ren, Y Yasuda, D Zhu, QJ Wang - Tribology Letters, 2008 - Springer
The geometry of micro-scale textures and the relative motion of surfaces in contact may
affect the performance of an elastohydrodynamic lubrication interface. Reported in this …
affect the performance of an elastohydrodynamic lubrication interface. Reported in this …