8 research outputs found
Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity
Semantic communication has gained significant attention from researchers as a
promising technique to replace conventional communication in the next
generation of communication systems, primarily due to its ability to reduce
communication costs. However, little literature has studied its effectiveness
in multi-user scenarios, particularly when there are variations in the model
architectures used by users and their computing capacities. To address this
issue, we explore a semantic communication system that caters to multiple users
with different model architectures by using a multi-purpose transmitter at the
base station (BS). Specifically, the BS in the proposed framework employs
semantic and channel encoders to encode the image for transmission, while the
receiver utilizes its local channel and semantic decoder to reconstruct the
original image. Our joint source-channel encoder at the BS can effectively
extract and compress semantic features for specific users by considering the
signal-to-noise ratio (SNR) and computing capacity of the user. Based on the
network status, the joint source-channel encoder at the BS can adaptively
adjust the length of the transmitted signal. A longer signal ensures more
information for high-quality image reconstruction for the user, while a shorter
signal helps avoid network congestion. In addition, we propose a hybrid loss
function for training, which enhances the perceptual details of reconstructed
images. Finally, we conduct a series of extensive evaluations and ablation
studies to validate the effectiveness of the proposed system.Comment: 14 pages, 10 figure
A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
For the purpose of solving the tough problem of the recognition of QR code which is marked on rough and highly reflective metal surface by laser, this work proposes a method of image processing based on multi-feature fusion. This method was requested to establish the integrated feature combined by color feature, texture feature and classify pixel points by means of k-means clustering, then optimize the image of QR code by morphology, Finally, this method was applied to the QR code Laser marking on the AL97 casting aluminum ingots to recognize, then compare with the accepted method OTSU algorithm, The experimental results show that the method is effective obviously
A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
For the purpose of solving the tough problem of the recognition of QR code which is marked on rough and highly reflective metal surface by laser, this work proposes a method of image processing based on multi-feature fusion. This method was requested to establish the integrated feature combined by color feature, texture feature and classify pixel points by means of k-means clustering, then optimize the image of QR code by morphology, Finally, this method was applied to the QR code Laser marking on the AL97 casting aluminum ingots to recognize, then compare with the accepted method OTSU algorithm, The experimental results show that the method is effective obviously
Engineering and application of LacI mutants with stringent expressions
Abstract Optimal transcriptional regulatory circuits are expected to exhibit stringent control, maintaining silence in the absence of inducers while exhibiting a broad induction dynamic range upon the addition of effectors. In the Plac/LacI pair, the promoter of the lac operon in Escherichia coli is characterized by its leakiness, attributed to the moderate affinity of LacI for its operator target. In response to this limitation, the LacI regulatory protein underwent engineering to enhance its regulatory properties. The M7 mutant, carrying I79T and N246S mutations, resulted in the lac promoter displaying approximately 95% less leaky expression and a broader induction dynamic range compared to the wildâtype LacI. An inâdepth analysis of each mutation revealed distinct regulatory profiles. In contrast to the wildâtype LacI, the M7 mutant exhibited a tighter binding to the operator sequence, as evidenced by surface plasmon resonance studies. Leveraging the capabilities of the M7 mutant, a highâvalue sugar biosensor was constructed. This biosensor facilitated the selection of mutant galactosidases with approximately a sevenâfold improvement in specific activity for transgalactosylation. Consequently, this advancement enabled enhanced biosynthesis of galactoâoligosaccharides (GOS)