8,133 research outputs found
Phase-stabilized, 1.5-W frequency comb at 2.8 to 4.8 micron
We present a high-power optical parametric oscillator-based frequency comb in
the mid-infrared wavelength region using periodically poled lithium niobate.
The system is synchronously pumped by a 10-W femtosecond Yb:fiber laser
centered at 1.07 um and is singly resonant for the signal. The idler (signal)
wavelength can be continuously tuned from 2.8 to 4.8 um (1.76 to 1.37 um) with
a simultaneous bandwidth as high as 0.3 um and a maximum average idler output
power of 1.50 W. We also demonstrate the performance of the stabilized comb by
recording the heterodyne beat with a narrow-linewidth diode laser. This OPO is
an ideal source for frequency comb spectroscopy in the mid-IR.Comment: 4 figure
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving
In the spectrum of vision-based autonomous driving, vanilla end-to-end models
are not interpretable and suboptimal in performance, while mediated perception
models require additional intermediate representations such as segmentation
masks or detection bounding boxes, whose annotation can be prohibitively
expensive as we move to a larger scale. More critically, all prior works fail
to deal with the notorious domain shift if we were to merge data collected from
different sources, which greatly hinders the model generalization ability. In
this work, we address the above limitations by taking advantage of virtual data
collected from driving simulators, and present DU-drive, an unsupervised
real-to-virtual domain unification framework for end-to-end autonomous driving.
It first transforms real driving data to its less complex counterpart in the
virtual domain and then predicts vehicle control commands from the generated
virtual image. Our framework has three unique advantages: 1) it maps driving
data collected from a variety of source distributions into a unified domain,
effectively eliminating domain shift; 2) the learned virtual representation is
simpler than the input real image and closer in form to the "minimum sufficient
statistic" for the prediction task, which relieves the burden of the
compression phase while optimizing the information bottleneck tradeoff and
leads to superior prediction performance; 3) it takes advantage of annotated
virtual data which is unlimited and free to obtain. Extensive experiments on
two public driving datasets and two driving simulators demonstrate the
performance superiority and interpretive capability of DU-drive
Eye-Witness Identification: Legal and Practical Problems, by Nathan Sobel; Reliability of Evidence, by Arne Trankell
Compensation Reform: Accident Costs, and Traffic Safety: Toward a Unified Motor Transport Policy
Eye-Witness Identification: Legal and Practical Problems, by Nathan Sobel; Reliability of Evidence, by Arne Trankell
Growth and physiology of the green microalga, Coccomyxa subellipsoidea:a comparison of an Antarctic and temperate strain and the influence of temperature and irradiance
Algorithms for 3D rigidity analysis and a first order percolation transition
A fast computer algorithm, the pebble game, has been used successfully to
study rigidity percolation on 2D elastic networks, as well as on a special
class of 3D networks, the bond-bending networks. Application of the pebble game
approach to general 3D networks has been hindered by the fact that the
underlying mathematical theory is, strictly speaking, invalid in this case. We
construct an approximate pebble game algorithm for general 3D networks, as well
as a slower but exact algorithm, the relaxation algorithm, that we use for
testing the new pebble game. Based on the results of these tests and additional
considerations, we argue that in the particular case of randomly diluted
central-force networks on BCC and FCC lattices, the pebble game is essentially
exact. Using the pebble game, we observe an extremely sharp jump in the largest
rigid cluster size in bond-diluted central-force networks in 3D, with the
percolating cluster appearing and taking up most of the network after a single
bond addition. This strongly suggests a first order rigidity percolation
transition, which is in contrast to the second order transitions found
previously for the 2D central-force and 3D bond-bending networks. While a first
order rigidity transition has been observed for Bethe lattices and networks
with ``chemical order'', this is the first time it has been seen for a regular
randomly diluted network. In the case of site dilution, the transition is also
first order for BCC, but results for FCC suggest a second order transition.
Even in bond-diluted lattices, while the transition appears massively first
order in the order parameter (the percolating cluster size), it is continuous
in the elastic moduli. This, and the apparent non-universality, make this phase
transition highly unusual.Comment: 28 pages, 19 figure
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