86,858 research outputs found
3-D Microwave Imaging for Breast Cancer
We introduce a novel microwave imaging technique for breast cancer detection. Our approach provides a one-pass inverse image solution, which is completely new and unprecedented, unrelated to tomography or radar-based algorithms, and unburdened by the optimization toil which lies at the heart of numerical schemes. It operates effectively at a single frequency, without requiring the bandwidth of radar techniques. Underlying this new method is our unique Field Mapping Algorithm (FMA), which transforms electromagnetic fields acquired upon one surface, be it through outright measurement or some auxiliary computation, into those upon another in an exact sense
NAM: Non-Adversarial Unsupervised Domain Mapping
Several methods were recently proposed for the task of translating images
between domains without prior knowledge in the form of correspondences. The
existing methods apply adversarial learning to ensure that the distribution of
the mapped source domain is indistinguishable from the target domain, which
suffers from known stability issues. In addition, most methods rely heavily on
`cycle' relationships between the domains, which enforce a one-to-one mapping.
In this work, we introduce an alternative method: Non-Adversarial Mapping
(NAM), which separates the task of target domain generative modeling from the
cross-domain mapping task. NAM relies on a pre-trained generative model of the
target domain, and aligns each source image with an image synthesized from the
target domain, while jointly optimizing the domain mapping function. It has
several key advantages: higher quality and resolution image translations,
simpler and more stable training and reusable target models. Extensive
experiments are presented validating the advantages of our method.Comment: ECCV 201
First principles calculation of lithium-phosphorus co-doped diamond
We calculate the density of states (DOS) and the Mulliken population of the
diamond and the co-doped diamonds with different concentrations of lithium (Li)
and phosphorus (P) by the method of the density functional theory, and analyze
the bonding situations of the Li-P co-doped diamond thin films and the impacts
of the Li-P co-doping on the diamond conductivities. The results show that the
Li-P atoms can promote the split of the diamond energy band near the Fermi
level, and improve the electron conductivities of the Li-P co-doped diamond
thin films, or even make the Li-P co-doped diamond from semiconductor to
conductor. The effect of Li-P co-doping concentration on the orbital charge
distributions, bond lengths and bond populations is analyzed. The Li atom may
promote the split of the energy band near the Fermi level as well as may
favorably regulate the diamond lattice distortion and expansion caused by the P
atom.Comment: 14 pages, 11 figure
Experimental probing of the anisotropy of the empty p states near the Fermi level in MgB2
We have studied the Boron K-edge in the superconductor MgB2 by electron
energy loss spectroscopy (EELS) and experimentally resolved the empty p states
at the Fermi level that have previously been observed within an energy window
of 0.8eV by soft x-ray absorption spectroscopy. Using angular resolved EELS, we
find that these states at the immediate edge onset have pxy character in
agreement with predictions from first-principle electronic structure
calculations.Comment: 15 pages, 5 figure
An effective ant-colony based routing algorithm for mobile ad-hoc network
An effective Ant-Colony based routing algorithm for mobile ad-hoc network is proposed in this paper. In this routing scheme, each path is marked by path grade, which is calculated from the combination of multiple constrained QoS parameters such as the time delay, packet loss rate and bandwidth, etc. packet routing is decided by the path grade and the queue buffer length of the node. The advantage of this scheme is that it can effectively improve the packet delivery ratio and reduce the end-to-end delay. The simulation results show that our proposed algorithm can improve the packet delivery ratio by 9%-22% and the end-to-end delay can be reduced by 14%-16% as compared with the conventional QAODV and ARA routing schemes
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