428 research outputs found
THE ROLE OF URBAN ENVIRONMENTAL PLANNING IN ALLEVIATING CITIZENS’ PSYCHOLOGICAL PRESSURE UNDER THE PSYCHOLOGY OF ART AND DESIGN
A Novel Dynamic Event-triggered Mechanism for Dynamic Average Consensus
This paper studies a challenging issue introduced in a recent survey, namely
designing a distributed event-based scheme to solve the dynamic average
consensus (DAC) problem. First, a robust adaptive distributed event-based DAC
algorithm is designed without imposing specific initialization criteria to
perform estimation task under intermittent communication. Second, a novel
adaptive distributed dynamic event-triggered mechanism is proposed to determine
the triggering time when neighboring agents broadcast information to each
other. Compared to the existing event-triggered mechanisms, the novelty of the
proposed dynamic event-triggered mechanism lies in that it guarantees the
existence of a positive and uniform minimum inter-event interval without
sacrificing any accuracy of the estimation, which is much more practical than
only ensuring the exclusion of the Zeno behavior or the boundedness of the
estimation error. Third, a composite adaptive law is developed to update the
adaptive gain employed in the distributed event-based DAC algorithm and dynamic
event-triggered mechanism. Using the composite adaptive update law, the
distributed event-based solution proposed in our work is implemented without
requiring any global information. Finally, numerical simulations are provided
to illustrate the effectiveness of the theoretical results.Comment: 9 pages, 8 figure
Superconductivity and vortex structure on BiTe/FeTeSe heterostructures with different thickness of BiTe films
Using scanning tunnel microscopy (STM), we investigate the superconductivity
and vortex properties in topological insulator BiTe thin films
grown on the iron-based superconductor FeTeSe. The
proximity-induced superconductivity weakens in the BiTe film when
the thickness of the film increases. Unlike the elongated shape of vortex cores
observed in the BiTe film with 2-quintuple-layer (QL) thickness,
the isolated vortex cores exhibit a star shape with six rays in the 1-QL film,
and the rays are along the crystalline axes of the film. This is consistent
with the sixfold rotational symmetry of the film lattice, and the
proximity-induced superconductivity is still topologically trivial in the 1-QL
film. At a high magnetic field, when the direction between the two nearest
neighbored vortices deviates from that of any crystalline axes, two cores
connect each other by a pair of adjacent rays, forming a new type of electronic
structure of vortex cores. On the 3-QL film, the vortex cores elongate along
one of the crystalline axes of the BiTe film, similar to the
results obtained on 2-QL films. The elongated vortex cores indicate a twofold
symmetry of the superconducting gap induced by topological superconductivity
with odd parity. This observation confirms possible topological
superconductivity in heterostructures with a thickness of more than 2 QLs. Our
results provide rich information for the vortex cores and vortex-bound states
on the heterostructures consisting of the topological insulator and the
iron-based superconductor.Comment: 8 pages, 8 figure
A study of energy correction for the electron beam data in the BGO ECAL of the DAMPE
The DArk Matter Particle Explorer (DAMPE) is an orbital experiment aiming at
searching for dark matter indirectly by measuring the spectra of photons,
electrons and positrons originating from deep space. The BGO electromagnetic
calorimeter is one of the key sub-detectors of the DAMPE, which is designed for
high energy measurement with a large dynamic range from 5 GeV to 10 TeV. In
this paper, some methods for energy correction are discussed and tried, in
order to reconstruct the primary energy of the incident electrons. Different
methods are chosen for the appropriate energy ranges. The results of Geant4
simulation and beam test data (at CERN) are presented
Endogenous merger waves in vertically related industries
We study merger waves in vertically related industries where firms can
engage in both vertical and horizontal mergers. Even though any
individual merger would have been profitable, firms may refrain from
merging for fear of negative impacts from other mergers. When they do
merge, however, they always merge in waves, which is either vertical or
horizontal depending on the relative intensity of double markup and
horizontal competitions in the two industries. Finally, merger waves may
happen with or without any fundamental change in the underlying economic conditions
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization
In this paper, we extends original Neural Collapse Phenomenon by proving
Generalized Neural Collapse hypothesis. We obtain Grassmannian Frame structure
from the optimization and generalization of classification. This structure
maximally separates features of every two classes on a sphere and does not
require a larger feature dimension than the number of classes. Out of curiosity
about the symmetry of Grassmannian Frame, we conduct experiments to explore if
models with different Grassmannian Frames have different performance. As a
result, we discover the Symmetric Generalization phenomenon. We provide a
theorem to explain Symmetric Generalization of permutation. However, the
question of why different directions of features can lead to such different
generalization is still open for future investigation.Comment: 25 pages, 2 figure
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