1,711 research outputs found
Highly nonlinear pulse splitting and recombination in a two-dimensional granular network
The propagation of highly nonlinear signals in a branched two-dimensional granular system was investigated experimentally and numerically for a system composed of chains of spherical beads of different materials. The system studied consists of a double Y-shaped guide in which high- and low-modulus/mass chains of spheres are arranged in various geometries. We observed the transformation of a single or a train of solitary pulses crossing the interface between branches. We report fast splitting of the initial pulse, rapid chaotization of the signal and impulse redirection and bending. Pulse and energy trapping was also observed in the branches. Numerical analysis based on Hertzian interaction between the particles and the side walls of the guide was found in agreement with the experimental data, except for nonsymmetric arrangements of particles excited by a large mass striker
On the solutions of universal differential equation by noncommutative Picard-Vessiot theory
Basing on Picard-Vessiot theory of noncommutative differential equations and
algebraic combinatorics on noncommutative formal series with holomorphic
coefficients, various recursive constructions of sequences of grouplike series
converging to solutions of universal differential equation are proposed. Basing
on monoidal factorizations, these constructions intensively use diagonal series
and various pairs of bases in duality, in concatenation-shuffle bialgebra and
in a Loday's generalized bialgebra. As applications, the unique solution,
satisfying asymptotic conditions, of Knizhnik-Zamolodchikov equations is
provided by d\'evissage
Highly nonlinear pulse splitting and recombination in a two-dimensional granular network
The propagation of highly nonlinear signals in a branched two-dimensional granular system was investigated experimentally and numerically for a system composed of chains of spherical beads of different materials. The system studied consists of a double Y-shaped guide in which high- and low-modulus/mass chains of spheres are arranged in various geometries. We observed the transformation of a single or a train of solitary pulses crossing the interface between branches. We report fast splitting of the initial pulse, rapid chaotization of the signal and impulse redirection and bending. Pulse and energy trapping was also observed in the branches. Numerical analysis based on Hertzian interaction between the particles and the side walls of the guide was found in agreement with the experimental data, except for nonsymmetric arrangements of particles excited by a large mass striker
On The Global Renormalization and Regularization of Several Complex Variable Zeta Functions by Computer
This review concerns the resolution of a special case of
Knizhnik-Zamolodchikov equations () using our recent results on
combinatorial aspects of zeta functions on several variables and software on
noncommutative symbolic computations. In particular, we describe the actual
solution of leading to the unique noncommutative series, ,
so-called Drinfel'd associator (or Drinfel'd series). Non-trivial expressions
for series with rational coefficients, satisfying the same properties with
, are also explicitly provided due to the algebraic structure and
the singularity analysis of the polylogarithms and harmonic sums
Families of eulerian functions involved in regularization of divergent polyzetas
Extending the Eulerian functions, we study their relationship with zeta
function of several variables. In particular, starting with Weierstrass
factorization theorem (and Newton-Girard identity) for the complex Gamma
function, we are interested in the ratios of and their
multiindexed generalization, we will obtain an analogue situation and draw some
consequences about a structure of the algebra of polyzetas values, by means of
some combinatorics of noncommutative rational series. The same combinatorial
frameworks also allow to study the independence of a family of eulerian
functions.Comment: preprin
Crop Knowledge Discovery Based on Agricultural Big Data Integration
Nowadays, the agricultural data can be generated through various sources,
such as: Internet of Thing (IoT), sensors, satellites, weather stations,
robots, farm equipment, agricultural laboratories, farmers, government agencies
and agribusinesses. The analysis of this big data enables farmers, companies
and agronomists to extract high business and scientific knowledge, improving
their operational processes and product quality. However, before analysing this
data, different data sources need to be normalised, homogenised and integrated
into a unified data representation. In this paper, we propose an agricultural
data integration method using a constellation schema which is designed to be
flexible enough to incorporate other datasets and big data models. We also
apply some methods to extract knowledge with the view to improve crop yield;
these include finding suitable quantities of soil properties, herbicides and
insecticides for both increasing crop yield and protecting the environment.Comment: 5 page
Frustration Effects in Antiferromagnetic FCC Heisenberg Films
We study the effects of frustration in an antiferromagnetic film of FCC
lattice with Heisenberg spin model including an Ising-like anisotropy. Monte
Carlo (MC) simulations have been used to study thermodynamic properties of the
film. We show that the presence of the surface reduces the ground state (GS)
degeneracy found in the bulk. The GS is shown to depend on the surface in-plane
interaction with a critical value at which ordering of type I coexists
with ordering of type II. Near this value a reentrant phase is found. Various
physical quantities such as layer magnetizations and layer susceptibilities are
shown and discussed. The nature of the phase transition is also studied by
histogram technique. We have also used the Green's function (GF) method for the
quantum counterpart model. The results at low- show interesting effects of
quantum fluctuations. Results obtained by the GF method at high are
compared to those of MC simulations. A good agreement is observed.Comment: 11 pages, 19 figures, submitted to J. Phys.: Condensed Matte
Triggering up states in all-to-all coupled neurons
Slow-wave sleep in mammalians is characterized by a change of large-scale
cortical activity currently paraphrased as cortical Up/Down states. A recent
experiment demonstrated a bistable collective behaviour in ferret slices, with
the remarkable property that the Up states can be switched on and off with
pulses, or excitations, of same polarity; whereby the effect of the second
pulse significantly depends on the time interval between the pulses. Here we
present a simple time discrete model of a neural network that exhibits this
type of behaviour, as well as quantitatively reproduces the time-dependence
found in the experiments.Comment: epl Europhysics Letters, accepted (2010
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