180 research outputs found
LW-ISP: A Lightweight Model with ISP and Deep Learning
The deep learning (DL)-based methods of low-level tasks have many advantages
over the traditional camera in terms of hardware prospects, error accumulation
and imaging effects. Recently, the application of deep learning to replace the
image signal processing (ISP) pipeline has appeared one after another; however,
there is still a long way to go towards real landing. In this paper, we show
the possibility of learning-based method to achieve real-time high-performance
processing in the ISP pipeline. We propose LW-ISP, a novel architecture
designed to implicitly learn the image mapping from RAW data to RGB image.
Based on U-Net architecture, we propose the fine-grained attention module and a
plug-and-play upsampling block suitable for low-level tasks. In particular, we
design a heterogeneous distillation algorithm to distill the implicit features
and reconstruction information of the clean image, so as to guide the learning
of the student model. Our experiments demonstrate that LW-ISP has achieved a
0.38 dB improvement in PSNR compared to the previous best method, while the
model parameters and calculation have been reduced by 23 times and 81 times.
The inference efficiency has been accelerated by at least 15 times. Without
bells and whistles, LW-ISP has achieved quite competitive results in ISP
subtasks including image denoising and enhancement.Comment: 16 PAGES, ACCEPTED AS A CONFERENCE PAPER AT: BMVC 202
Rethinking Quality of Experience for Metaverse Services: A Consumer-based Economics Perspective
The Metaverse is considered to be one prototype of the next-generation
Internet, which contains people's expectations for the future world. However,
the academic discussion of the Metaverse still mainly focused on the system
technical design, and few research studied Metaverse challenges from the
perspective of consumers, i.e., Metaverse users. One difficulty is that the
analysis from the consumer's perspective requires interdisciplinary theoretical
framework and quantifiable Quality of Experience (QoE) measurements. In this
article, pioneering from consumers' point of view, we explore an interaction
between Metaverse system design and consumer behaviors. Specifically, we
rethink the QoE and propose an interdisciplinary framework that encompasses
both the Metaverse service providers (MSPs) and consumer considerations. From
the macro perspective, we introduce a joint optimization scheme that
simultaneously considers the Metaverse system design, consumers' utility, and
profitability of the MSPs. From the micro perspective, we advocate the
Willingness-to-Pay (WTP) as an easy-to-implement QoE measurement for future
Metaverse system studies. To illustrate the usability of the proposed
integrated framework, a use case of Metaverse, i.e., virtual traveling, is
presented. We show that our framework can benefit the MSPs in offering
competitive and economical service design to consumers while maximizing the
profit
Dual-Quaternion-Based Fault-Tolerant Control for Spacecraft Tracking With Finite-Time Convergence
Results are presented for a study of dual-quaternion-based fault-tolerant control for spacecraft tracking. First, a six-degrees-of-freedom dynamic model under a dual-quaternion-based description is employed to describe the relative coupled motion of a target-pursuer spacecraft tracking system. Then, a novel fault-tolerant control method is proposed to enable the pursuer to track the attitude and the position of the target even though its actuators have multiple faults. Furthermore, based on a novel time-varying sliding manifold, finite-time stability of the closed-loop system is theoretically guaranteed, and the convergence time of the system can be given explicitly. Multiple-task capability of the proposed control law is further demonstrated in the presence of disturbances and parametric uncertainties. Finally, numerical simulations are presented to demonstrate the effectiveness and advantages of the proposed control method
PEGylated graphene oxide for tumor-targeted delivery of paclitaxel.
AIM:
The graphene oxide (GO) sheet has been considered one of the most promising carbon derivatives in the field of material science for the past few years and has shown excellent tumor-targeting ability, biocompatibility and low toxicity. We have endeavored to conjugate paclitaxel (PTX) to GO molecule and investigate its anticancer efficacy.
MATERIALS & METHODS:
We conjugated the anticancer drug PTX to aminated PEG chains on GO sheets through covalent bonds to get GO-PEG-PTX complexes. The tissue distribution and anticancer efficacy of GO-PEG-PTX were then investigated using a B16 melanoma cancer-bearing C57 mice model.
RESULTS:
The GO-PEG-PTX complexes exhibited excellent water solubility and biocompatibility. Compared with the traditional formulation of PTX (Taxol®), GO-PEG-PTX has shown prolonged blood circulation time as well as high tumor-targeting and -suppressing efficacy.
CONCLUSION:
PEGylated graphene oxide is an excellent nanocarrier for paclitaxel for cancer targeting
Spin-valley locking for in-gap quantum dots in a MoS2 transistor
Spins confined to atomically-thin semiconductors are being actively explored
as quantum information carriers. In transition metal dichalcogenides (TMDCs),
the hexagonal crystal lattice gives rise to an additional valley degree of
freedom with spin-valley locking and potentially enhanced spin life- and
coherence times. However, realizing well-separated single-particle levels, and
achieving transparent electrical contact to address them has remained
challenging. Here, we report well-defined spin states in a few-layer MoS
transistor, characterized with a spectral resolution of eV at
~mK. Ground state magnetospectroscopy confirms a finite
Berry-curvature induced coupling of spin and valley, reflected in a pronounced
Zeeman anisotropy, with a large out-of-plane -factor of . A finite in-plane -factor () allows us
to quantify spin-valley locking and estimate the spin-orbit splitting
eV. The demonstration of spin-valley locking
is an important milestone towards realizing spin-valley quantum bits.Comment: 7 pages, 3 figure
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