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Photolithographic Microfabrication of Microbatteries for On-Chip Energy Storage.
Nanomicro Lett
January 2025
State Key Laboratory of Catalysis, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, People's Republic of China.
Microbatteries (MBs) are crucial to power miniaturized devices for the Internet of Things. In the evolutionary journey of MBs, fabrication technology emerges as the cornerstone, guiding the intricacies of their configuration designs, ensuring precision, and facilitating scalability for mass production. Photolithography stands out as an ideal technology, leveraging its unparalleled resolution, exceptional design flexibility, and entrenched position within the mature semiconductor industry.
View Article and Find Full Text PDFFree-space optical spiking neural network.
PLoS One
December 2024
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Neuromorphic engineering has emerged as a promising avenue for developing brain-inspired computational systems. However, conventional electronic AI-based processors often encounter challenges related to processing speed and thermal dissipation. As an alternative, optical implementations of such processors have been proposed, capitalizing on the intrinsic information-processing capabilities of light.
View Article and Find Full Text PDFEffectiveness of a Multifaceted Intervention (TEMP) for Prevention of Occupational Heat-Related Illness among Outdoor Workers in the Power Grid Industry: A Cluster Randomized Controlled Trial.
Environ Health Perspect
January 2025
School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Background: Occupational heat-related illness (OHI) is a health threat to workers that can be fatal in severe cases. Effective and feasible measures are urgently needed to prevent OHI.
Objectives: We evaluated the effectiveness of a multifaceted intervention, TEMP, in reducing the OHI risk among outdoor workers in the power grid industry.
Point Cloud Wall Projection for Realistic Road Data Augmentation.
Sensors (Basel)
December 2024
Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea.
Several approaches have been developed to generate synthetic object points using real LiDAR point cloud data for advanced driver-assistance system (ADAS) applications. The synthetic object points generated from a scene (both the near and distant objects) are essential for several ADAS tasks. However, generating points from distant objects using sparse LiDAR data with precision is still a challenging task.
View Article and Find Full Text PDFResearch on Parameter Compensation Method and Control Strategy of Mobile Robot Dynamics Model Based on Digital Twin.
Sensors (Basel)
December 2024
School of Mechanical Engineering and Automation, Foshan University, Foshan 528225, China.
Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces.
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