Results 41 to 50 of about 214,906 (281)

Research on vibration reduction performance of dynamic vibration absorber based on damping characteristic of a new material

Advances in Mechanical Engineering, 2020
The absorbing effect of traditional dynamic vibration absorber (TDVA) is satisfactory only when the natural frequency is close to the excitation frequency.
Weizhi Song, Zhien Liu, Chihua Lu, Yongchao Li, Bin Li   +4 more
doaj   +1 more source

VANET Applications: Hot Use Cases [PDF]

, 2014
Current challenges of car manufacturers are to make roads safe, to achieve free flowing traffic with few congestions, and to reduce pollution by an effective fuel use.
Denis, Richard, Dillschneider, Julien, Lèbre, Marie-Ange, Mouël, Frédéric Le, Ménard, Eric   +4 more
core   +3 more sources

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

High refractive index microlenses patterned onto micro-LED arrays using electrohydrodynamic inkjet printing

Scientific Reports
Reducing pixel crosstalk and enhancing luminance are crucial for improving image quality in micro-LED display applications. Although the Lambertian emission of micro-LEDs can be partially collimated by surface-integrated microlens arrays (MLAs), the ...
Gaoyu Dai, Kaidi Chen, Xinhui Meng, Yukun Zhao, Kailin Ren, Luqiao Yin, Jianhua Zhang   +6 more
doaj   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Advancements in 3-D object detection: A comprehensive review

Journal of King Saud University: Computer and Information Sciences
3-D object detection has become essential for autonomous systems, yet the field remains fragmented due to diverse sensor modalities, fusion strategies, and architectural designs.
Wenhuan Wu, Innocent Appiah, Rui Hu
doaj   +1 more source

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

Advanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai, Xiaoyu Huo, Xin Long, Enkang Fu, Xusong Gong, Lei Wei, Liang An   +6 more
wiley   +1 more source

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement

IET Image Processing
The fuzzy C‐means clustering (FCM) algorithm is widely used in greyscale and colour image segmentation, especially in real colour images. However, in the process of interested regions extraction, it performs barely satisfactory due to the use of single ...
Xie Zeyu, Luo Xiao, Zhao Defang, Chen Xinyu   +3 more
doaj   +1 more source

IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks

Sensors
Network pruning is a deep learning model compression technique aimed at reducing model storage requirements and decreasing computational resource consumption.
Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang   +5 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source