4,256 research outputs found
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal
Deep Convolutional Neural Networks (CNNs) are widely employed in modern
computer vision algorithms, where the input image is convolved iteratively by
many kernels to extract the knowledge behind it. However, with the depth of
convolutional layers getting deeper and deeper in recent years, the enormous
computational complexity makes it difficult to be deployed on embedded systems
with limited hardware resources. In this paper, we propose two
computation-performance optimization methods to reduce the redundant
convolution kernels of a CNN with performance and architecture constraints, and
apply it to a network for super resolution (SR). Using PSNR drop compared to
the original network as the performance criterion, our method can get the
optimal PSNR under a certain computation budget constraint. On the other hand,
our method is also capable of minimizing the computation required under a given
PSNR drop.Comment: This paper was accepted by 2018 The International Symposium on
Circuits and Systems (ISCAS
General stationary charged black holes as charged particle accelerators
We study the possibility of getting infinite energy in the center of mass
frame of colliding charged particles in a general stationary charged black
hole. For black holes with two-fold degenerate horizon, it is found that
arbitrary high center-of-mass energy can be attained, provided that one of the
particle has critical angular momentum or critical charge, and the remained
parameters of particles and black holes satisfy certain restriction. For black
holes with multiple-fold degenerate event horizons, the restriction is
released. For non-degenerate black holes, the ultra-high center-of-mass is
possible to be reached by invoking the multiple scattering mechanism. We obtain
a condition for the existence of innermost stable circular orbit with critical
angular momentum or charge on any-fold degenerate horizons, which is essential
to get ultra-high center-of-mass energy without fine-tuning problem. We also
discuss the proper time spending by the particle to reach the horizon and the
duality between frame dragging effect and electromagnetic interaction. Some of
these general results are applied to braneworld small black holes.Comment: 23 pages, no figures, revised version accepted for publication in
Phys. Rev.
Quantum correlation measure in arbitrary bipartite systems
A definition of quantum correlation is presented for an arbitrary bipartite
quantum state based on the skew information. This definition not only inherits
the good properties of skew information such as the contractivity and so on,
but also is effective and almost analytically calculated for any bipartite
quantum states. We also reveal the relation between our measure and quantum
metrology. As applications, we give the exact expressions of quantum
correlation for many states, which provides a direct support for our result.Comment: 6 pages, 2 figures. Comments are welcom
Current progress and the development of food contaminants standards in China
Food contaminant standards are an important way to control food contamination and ensure food safety. After more than 30 years of development, our food contaminant standards have been continuously improved, which have played an important role in protecting consumer health and promoting fair trade. The article reviews the process and development of the food contaminant standards in China, analyzes the scientificity and changes in its international status, and proposes the future strategies for China's food contaminants standards system, so as to provide a solid foundation for food contaminant standards to reach the height of developed countries and modernization of food safety risk management capabilities
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