26 research outputs found
The Problems and Countermeasures of Citizen Participation in Urban Community Governance
The community as the cells of society is the foundation of building a socialist harmonious society, and also is the basic unit of promoting social progress and development. Community residents as the most widely participants and the most important main body in community governance, its participation is not only the essential requirement of community governance, but also is the foundation, motivation and guarantee of community development. At present, the urban community residents’ participation is still in its infancy in our country. There are many problems in practice, such as how to improve the community governance system, how to guide the community residents to participate, and how to arouse the enthusiasm of community residents to participate. These problems influenced the construction and development of community. This paper analyzed the present situation and then put out the performances and existing problems of citizen participation in community governance under the support of basic theory of community governance and combined with the literature research of citizen participation in community governance in our country. According to these experiences and problems of community governance, the paper put forward the countermeasures and Suggestions of improving the residents’ participation mechanism from four aspects of the relationship between government and civil, citizen participation consciousness, legal regulations and compatibility mechanism. Through the practice of these countermeasures and Suggestions, the author expect to really increase the residents’ participation enthusiasm and promote the comprehensive development of community
Error estimate of a quasi-Monte Carlo time-splitting pseudospectral method for nonlinear Schrodinger equation with random potentials
In this paper, we consider the numerical solution of a nonlinear Schrodinger
equation with spatial random potential. The randomly shifted quasi-Monte Carlo
(QMC) lattice rule combined with the time-splitting pseudospectral
discretization is applied and analyzed. The nonlinearity in the equation
induces difficulties in estimating the regularity of the solution in random
space. By the technique of weighted Sobolev space, we identify the possible
weights and show the existence of QMC that converges optimally at the
almost-linear rate without dependence on dimensions. The full error estimate of
the scheme is established. We present numerical results to verify the accuracy
and investigate the wave propagation.Comment: on SIAM JU
Deterministic-Statistical Approach for an Inverse Acoustic Source Problem using Multiple Frequency Limited Aperture Data
We propose a deterministic-statistical method for an inverse source problem
using multiple frequency limited aperture far field data. The direct sampling
method is used to obtain a disc such that it contains the compact support of
the source. The Dirichlet eigenfunctions of the disc are used to expand the
source function. Then the inverse problem is recast as a statistical inference
problem for the expansion coefficients and the Bayesian inversion is employed
to reconstruct the coefficients. The stability of the statistical inverse
problem with respect to the measured data is justified in the sense of
Hellinger distance. A preconditioned Crank-Nicolson (pCN) Metropolis-Hastings
(MH) algorithm is implemented to explore the posterior density function of the
unknowns. Numerical examples show that the proposed method is effective for
both smooth and non-smooth sources given limited-aperture data
A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation
In this paper, we combine the Smolyak technique for multi-dimensional
interpolation with the Filon-Clenshaw-Curtis (FCC) rule for one-dimensional
oscillatory integration, to obtain a new Filon-Clenshaw-Curtis-Smolyak (FCCS)
rule for oscillatory integrals with linear phase over the dimensional cube
. By combining stability and convergence estimates for the FCC rule
with error estimates for the Smolyak interpolation operator, we obtain an error
estimate for the FCCS rule, consisting of the product of a Smolyak-type error
estimate multiplied by a term that decreases with
, where is the wavenumber and is
the number of oscillatory dimensions. If all dimensions are oscillatory, a
higher negative power of appears in the estimate. As an application, we
consider the forward problem of uncertainty quantification (UQ) for a
one-space-dimensional Helmholtz problem with wavenumber and a random
heterogeneous refractive index, depending in an affine way on i.i.d.
uniform random variables. After applying a classical hybrid
numerical-asymptotic approximation, expectations of functionals of the solution
of this problem can be formulated as a sum of oscillatory integrals over
, which we compute using the FCCS rule. We give numerical results for
the FCCS rule and the UQ algorithm showing that accuracy improves when both
and the order of the rule increase. We also give results for dimension-adaptive
sparse grid FCCS quadrature showing its efficiency as dimension increases
Gigahertz-rate-switchable wavefront shaping through integration of metasurfaces with photonic integrated circuit
Achieving spatiotemporal control of light at high-speeds presents immense
possibilities for various applications in communication, computation,
metrology, and sensing. The integration of subwavelength metasurfaces and
optical waveguides offers a promising approach to manipulate light across
multiple degrees of freedom at high-speed in compact photonic integrated
circuit (PICs) devices. Here, we demonstrate a gigahertz-rate-switchable
wavefront shaping by integrating metasurface, lithium niobite on insulator
(LNOI) photonic waveguide and electrodes within a PIC device. As proofs of
concept, we showcase the generation of a focus beam with reconfigurable
arbitrary polarizations, switchable focusing with lateral focal positions and
focal length, orbital angular momentum light beams (OAMs) as well as Bessel
beams. Our measurements indicate modulation speeds of up to gigahertz rate.
This integrated platform offers a versatile and efficient means of controlling
light field at high-speed within a compact system, paving the way for potential
applications in optical communication, computation, sensing, and imaging