2,071 research outputs found
Pulses of chaos synchronization in coupled map chains with delayed transmission
Pulses of synchronization in chaotic coupled map lattices are discussed in
the context of transmission of information. Synchronization and
desynchronization propagate along the chain with different velocities which are
calculated analytically from the spectrum of convective Lyapunov exponents.
Since the front of synchronization travels slower than the front of
desynchronization, the maximal possible chain length for which information can
be transmitted by modulating the first unit of the chain is bounded.Comment: 4 pages, 6 figures, updated version as published in PR
Sublattice synchronization of chaotic networks with delayed couplings
Synchronization of chaotic units coupled by their time delayed variables are
investigated analytically. A new type of cooperative behavior is found:
sublattice synchronization. Although the units of one sublattice are not
directly coupled to each other, they completely synchronize without time delay.
The chaotic trajectories of different sublattices are only weakly correlated
but not related by generalized synchronization. Nevertheless, the trajectory of
one sublattice is predictable from the complete trajectory of the other one.
The spectra of Lyapunov exponents are calculated analytically in the limit of
infinite delay times, and phase diagrams are derived for different topologies
Non-Paraxial Accelerating Beams
We present the spatially accelerating solutions of the Maxwell equations.
Such non-paraxial beams accelerate in a circular trajectory, thus generalizing
the concept of Airy beams. For both TE and TM polarizations, the beams exhibit
shape-preserving bending with sub-wavelength features, and the Poynting vector
of the main lobe displays a turn of more than 90 degrees. We show that these
accelerating beams are self-healing, analyze their properties, and compare to
the paraxial Airy beams. Finally, we present the new family of periodic
accelerating beams which can be constructed from our solutions
Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference
This paper presents a general stochastic model developed for a class of
cooperative wireless relay networks, in which imperfect knowledge of the
channel state information at the destination node is assumed. The framework
incorporates multiple relay nodes operating under general known non-linear
processing functions. When a non-linear relay function is considered, the
likelihood function is generally intractable resulting in the maximum
likelihood and the maximum a posteriori detectors not admitting closed form
solutions. We illustrate our methodology to overcome this intractability under
the example of a popular optimal non-linear relay function choice and
demonstrate how our algorithms are capable of solving the previously
intractable detection problem. Overcoming this intractability involves
development of specialised Bayesian models. We develop three novel algorithms
to perform detection for this Bayesian model, these include a Markov chain
Monte Carlo Approximate Bayesian Computation (MCMC-ABC) approach; an Auxiliary
Variable MCMC (MCMC-AV) approach; and a Suboptimal Exhaustive Search Zero
Forcing (SES-ZF) approach. Finally, numerical examples comparing the symbol
error rate (SER) performance versus signal to noise ratio (SNR) of the three
detection algorithms are studied in simulated examples
Unusual interplay between copper-spin and vortex dynamics in slightly overdoped La{1.83}Sr{0.17}CuO{4}
Our inelastic neutron scattering experiments of the spin excitations in the
slightly overdoped La{1.83}Sr{0.17}CuO{4} compound show that, under the
application of a magnetic field of 5 Tesla, the low-temperature susceptibility
undergoes a weight redistribution centered at the spin-gap energy. Furthermore,
by comparing the temperature dependence of the neutron data with
ac-susceptibility and magnetization measurements, we conclude that the filling
in of the spin gap tracks the irreversibility/melting temperature rather than
Tc2, which indicates an unusual interplay between the magnetic vortices and the
spin excitations even in the slightly overdoped regime of high-temperature
superconductors.Comment: 7 pages, including 5 figure
Engaging virtual agents
Embodied virtual assistants normally don’t engage the user emotionally. They fulfil their functions, e.g. as shopping assistants or virtual teachers, factually and emotionless. This way, they do not explore the full potential of the presence of an embodied character. In real life, the personality of the teacher or salesperson, their ability to involve and even to entertain is essential for their success. But how much of these “soft factors” can be translated into behaviour of virtual agents? Which kinds of virtual personalities are appropriate for which group, and in which context?
We call virtual agents with engaging “soft skills” Engaging Virtual Agents. This paper presents a software platform employed for experimenting with soft skills and for creating different personalities of virtual agents.
The focus of this platform is on authoring principles that facilitate the cooperation of content creators and computer scientists. We also present “Julie”, an example that was shortly concluded as part of a research project commissioned by SAP AG. Julie is a virtual sales assistant that employs actively emotional expressions and narrative techniques, in order to provide additional motivation for the customer to visit and to remain at the virtual shop
Ni-impurity effects on the superconducting gap of LaSrCuO studied from the magnetic field and temperature dependence of the electronic specific heat
The magnetic field and temperature dependence of the electronic specific heat
have been systematically investigated in (LSCNO) in order to study Ni-impurity
effects on the superconducting (SC) gap. In LSCNO with =0.15 and =0.015,
the value of () at =0 K, , is
enhanced under the magnetic field applied along the -axis. The
increment of , , follows the Volovik relation
=, characteristic of the SC gap with line nodes,
with prefactor similar to that of a pure sample. The vs.
curve under =0 shows a d-wave-like SC anomaly with an abrupt increase at
and -linear dependence at , although the
-value in the vs. curve increases with increasing
Ni concentrations. Interestingly, as the SC part of , , decreases in LSCNO, is
reduced in proportion to the decrease of . These findings can
be explained phenomenologically by a simple model in which Ni impurities bring
about strong pair breaking at the edges of the coherent nodal part of the Fermi
surface but in the vicinity of the nodes of the SC gap. The reduction of the SC
condensation energy in LSCNO, evaluated from at
{0.3em}\raisebox{0.4ex}{} {-0.75em}\raisebox{-.7ex}{} {0.3em}, is also understood by the same model.Comment: 7 pages, 6 figures, accepted in Phys. Rev.
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