Layer-based method has been proposed as an efficient approach to calculate holograms for holographic image display. This paper further improves its calculation speed and depth cues quality by introducing three different techniques, an improved coding scheme, a multilayer depth- fused 3D method and a fraction method. As a result the total computation time is reduced more than 4 times, and holographic images with accommodation cue are calculated in real time to interactions with the displayed image in a proof-of-concept setting of head-mounted holographic displays.
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http://dx.doi.org/10.1364/OE.23.018143 | DOI Listing |
Ann N Y Acad Sci
January 2025
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Deep learning has revolutionized electroencephalograph (EEG) decoding, with convolutional neural networks (CNNs) being a predominant tool. However, CNNs struggle with long-term dependencies in sequential EEG data. Models like long short-term memory and transformers improve performance but still face challenges of computational efficiency and long sequences.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Key Laboratory of Electromagnetic Processing of Materials (Ministry of Education), Northeastern University, Shenyang 110819, China.
A carbon nanotube (CNT) composite is an effective method to improve the thermoelectricity of materials. However, the depletion layer between the CNT and thermoelectric (TE) material always decreases the contribution of CNT to the conductivity of the TE material. It is important to eliminate the depletion layer for improving the TE properties.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
Collaborative Innovation Center of Sustainable Energy Materials, School of Physical Science and Technology, Guangxi University; Guangxi Key Laboratory of Electrochemical Energy Materials, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Nanning 530004, China. Electronic address:
Adv Mater
December 2024
xolo GmbH, Volmerstraße 9B, 12489, Berlin, Germany.
Xolography is a volumetric 3D printing technique utilizing intersecting light beams within a volume of photopolymer for a spatially controlled photopolymerization. Unlike layer-based methods, Xolography creates structures continuously within a closed photopolymer vat, eliminating the prevalent need for support structures and allowing full geometrical freedom at high printing speeds. The volumetric working principle does not rely on gravity, making Xolography an outstanding technology for additive manufacturing under microgravity conditions as illustrated in a set of experiments during a parabolic flight campaign.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
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