Results 11 to 20 of about 197,230 (261)

Multimodal-based weld reinforcement monitoring system for wire arc additive manufacturing

Journal of Materials Research and Technology, 2022
With the rise of big data and artificial intelligence, intelligent welding systems (IWS) are attracting more and more attention in machinery manufacturing. The work focused on weld reinforcement monitoring in wire arc additive manufacturing (WAAM).
Bin Shen, Jun Lu, Yiming Wang, Dongli Chen, Jing Han, Yi Zhang, Zhuang Zhao   +6 more
doaj   +1 more source

Spectrally encoded spectral imaging

Optics Express, 2011
Spectral imaging, i.e. the acquisition of the spectrum emitted from each sample location, is a powerful tool for a wide variety of applications in science and technology. For biomedical applications, spectral imaging is important for accurate analysis of a biological specimen and for assisting clinical diagnosis, however it could be challenging mainly ...
Abramov, Avraham, Minai, Limor, Yelin, Dvir   +2 more
openaire   +2 more sources

Smart Drones, Smarter Learning: Federated Self-learning Minimal Learning Machine Classifier for Real-Time Hyperspectral Image Classification [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This paper presents a framework for real-time hyperspectral image classification using federated self-learning Minimal Learning Machines (SL-MLM) and trajectory-optimized UAV swarms. The proposed method enables on-board model training and prediction with
A.-M. Raita-Hakola, X. Kilpi-Chen, I. Pölönen   +2 more
doaj   +1 more source

Detection of reinforcement of multi-bead and multi-layer weld in additive manufacturing based on on-line visual information of weld pool

Journal of Materials Research and Technology, 2023
In the multi-bead and multi-layer arc additive manufacturing process, the information of cladding reinforcement reflects the welding quality to a certain extent, so it is of great significance to monitor the reinforcement of cladding layers in real time.
Jun Lu, Yang Zhao, Xiaoyu Chen, Jing Han, Zhuang Zhao   +4 more
doaj   +1 more source

Locating and Imaging through Scattering Medium in a Large Depth

Sensors, 2020
Scattering medium brings great difficulties to locate and reconstruct objects especially when the objects are distributed in different positions. In this paper, a novel physics and learning-heuristic method is presented to locate and image the object ...
Shuo Zhu, Enlai Guo, Qianying Cui, Lianfa Bai, Jing Han, Dongliang Zheng   +5 more
doaj   +1 more source

Speckle-Shifting Ghost Imaging

IEEE Photonics Journal, 2016
In this paper, we introduce speckle-shifting ghost imaging (SSGI) which uses several corresponding shifted groups of speckle patterns instead of random speckle patterns in “computational ghost imaging” (CGI) to improve the performance of ...
Tianyi Mao, Qian Chen, Weiji He, Yunhao Zou, Huidong Dai, Guohua Gu   +5 more
doaj   +1 more source

Adaptive Target Profile Acquiring Method for Photon Counting 3-D Imaging Lidar

IEEE Photonics Journal, 2016
A direct-detection 3-D imaging lidar is capable of acquiring a depth image of noncooperative targets in long distance, using Geiger mode avalanche photodiodes and the technique of time-correlated single-photon counting.
Ling Ye, Guohua Gu, Weiji He, Huidong Dai, Jie Lin, Qian Chen   +5 more
doaj   +1 more source

Single Infrared Image Optical Noise Removal Using a Deep Convolutional Neural Network

IEEE Photonics Journal, 2018
In this paper, we propose a deep learning method for single infrared image optical noise removal. With a fully convolutional neural network, it is able to eliminate the optical noise in single infrared image.
Xiaodong Kuang, Xiubao Sui, Yuan Liu, Qian Chen, Guohua GU   +4 more
doaj   +1 more source

A Real-Time Restraint Method for Range Walk Error in 3-D Imaging Lidar Via Dual Detection

IEEE Photonics Journal, 2018
Geiger-mode avalanche photodiode (Gm-APD) offers 3D imaging lidar much better capability in terms of detection sensitivity. However, a range walk error (RWE) exists in Gm-APDs which refers to the fluctuation of the measured distance as a function of the ...
Ling Ye, Guohua Gu, Weiji He, Huidong Dai, Qian Chen   +4 more
doaj   +1 more source

Collaborative and Quantitative Prediction for Reinforcement and Penetration Depth of Weld Bead Based on Molten Pool Image and Deep Residual Network

IEEE Access, 2020
Weld quality is generally determined by reinforcement and penetration depth of weld bead in arc welding. Penetration depth reflects weld strength and reinforcement reflects weld shape. What's more, there is a strong coupling between them, therefore it is
Jun Lu, Yumin Shi, Lianfa Bai, Zhuang Zhao, Jing Han   +4 more
doaj   +1 more source