Results 41 to 50 of about 2,823 (249)

Ambient‐Spray Ni–Cu(–O)/Ag Nanowire Transparent Heaters for High‐Temperature Heating and Far‐/Near‐Field EMI Suppression

Advanced Materials Interfaces, EarlyView.
A vacuum‐free, ambient‐spray Ni–Cu(–O)/Ag nanowire transparent‐heater platform is realized via conformal junction‐shell engineering and silica–hybrid overcoating, enabling robust high‐temperature heating together with GHz‐band far‐field EMI shielding and near‐field magnetic‐noise attenuation.
Ye Na Heo, Do Il Kim, Hyun Ho Park, Soong Ju Oh, Sang Woo Kim   +4 more
wiley   +1 more source

Multi-Aspect SAR Target Recognition Based on Non-Local and Contrastive Learning

Mathematics, 2023
Synthetic aperture radar (SAR) automatic target recognition (ATR) has been widely applied in multiple fields. However, the special imaging mechanism of SAR results in different visual features of the same target at different azimuth angles, so single ...
Xiao Zhou, Siyuan Li, Zongxu Pan, Guangyao Zhou, Yuxin Hu   +4 more
doaj   +1 more source

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

Advanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel, Bastian Jülich, Anna Rosa Ziefuss, Florian Eibl, Stephan Barcikowski   +4 more
wiley   +1 more source

Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder

Leida xuebao, 2013
Automatic Target Recognition (ATR) of Synthetic Aperture Radar (SAR) image is investigated. A SAR feature extraction algorithm based on multilayer auto-encoder is proposed.
Sun Zhi-jun, Xue Lei, Xu Yang-ming, Sun Zhi-yong   +3 more
doaj   +1 more source

Deep-Learning for Radar: A Survey

IEEE Access, 2021
A comprehensive and well-structured review on the application of deep learning (DL) based algorithms, such as convolutional neural networks (CNN) and long-short term memory (LSTM), in radar signal processing is given.
Zhe Geng, He Yan, Jindong Zhang, Daiyin Zhu   +3 more
doaj   +1 more source

Introduction to Drone Detection Radar with Emphasis on Automatic Target Recognition (ATR) technology

CoRR, 2023
This paper discusses the challenges of detecting and categorizing small drones with radar automatic target recognition (ATR) technology. The authors suggest integrating ATR capabilities into drone detection radar systems to improve performance and manage emerging threats. The study focuses primarily on drones in Group 1 and 2.
Jiangkun Gong, Jun Yan 0006, Deyong Kong, Deren Li   +3 more
openaire   +2 more sources

UCST‐Driven Shape Morphing in Digital Light Processing 4D‐Printed Hydrogels

Advanced Materials Technologies, EarlyView.
A DLP‐printable UCST hydrogel based on poly(acrylic acid‐co‐acrylamide) enables reversible thermally induced expansion and 4D shape morphing. Rational control of composition, porosity, and multimaterial architecture enables predictable 4D shape morphing through differential swelling and localized actuation, opening new opportunities for high‐resolution
Fato Niang, Vincent Lapinte, Sebastien Blanquer   +2 more
wiley   +1 more source

Using Classify-While-Scan (CWS) Technology to Enhance Unmanned Air Traffic Management (UTM)

Drones, 2022
Drone detection radar systems have been verified for supporting unmanned air traffic management (UTM). Here, we propose the concept of classify while scan (CWS) technology to improve the detection performance of drone detection radar systems and then to ...
Jiangkun Gong, Deren Li, Jun Yan, Huiping Hu, Deyong Kong   +4 more
doaj   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network

Remote Sensing, 2018
The algorithm of synthetic aperture radar (SAR) for automatic target recognition consists of two stages: feature extraction and classification. The quality of extracted features has significant impacts on the final classification performance.
Haipeng Wang, Suo Li, Yu Zhou, Sizhe Chen   +3 more
doaj   +1 more source