1,219 research outputs found

    Blow-up criteria for Boussinesq system and MHD system and Landau-Lifshitz equations in a bounded domain

    Full text link
    In this paper, we prove some blow-up criteria for the 3D Boussinesq system with zero heat conductivity and MHD system and Landau-Lifshitz equations in a bounded domain.Comment: 20 page

    Quality-Gated Convolutional LSTM for Enhancing Compressed Video

    Full text link
    The past decade has witnessed great success in applying deep learning to enhance the quality of compressed video. However, the existing approaches aim at quality enhancement on a single frame, or only using fixed neighboring frames. Thus they fail to take full advantage of the inter-frame correlation in the video. This paper proposes the Quality-Gated Convolutional Long Short-Term Memory (QG-ConvLSTM) network with bi-directional recurrent structure to fully exploit the advantageous information in a large range of frames. More importantly, due to the obvious quality fluctuation among compressed frames, higher quality frames can provide more useful information for other frames to enhance quality. Therefore, we propose learning the "forget" and "input" gates in the ConvLSTM cell from quality-related features. As such, the frames with various quality contribute to the memory in ConvLSTM with different importance, making the information of each frame reasonably and adequately used. Finally, the experiments validate the effectiveness of our QG-ConvLSTM approach in advancing the state-of-the-art quality enhancement of compressed video, and the ablation study shows that our QG-ConvLSTM approach is learnt to make a trade-off between quality and correlation when leveraging multi-frame information. The project page: https://github.com/ryangchn/QG-ConvLSTM.git.Comment: Accepted to IEEE International Conference on Multimedia and Expo (ICME) 201

    Using Walking Interviews in Migration Research: A Systematic Review of the Qualitative Research Literature

    Get PDF
    In the field of migration research, the frequency of employing qualitative walking interviews has risen in recent years to delve into the construction, evolution, and negotiation mechanisms of migrant identities within everyday spatial practices. This novel mobile method emphasizes the interaction between micro-experience and macro-structure. It facilitates a shift away from viewing migrants as passive outsiders, empowering them with increased agency, and allow researchers to gain deeper insights into migrants’ emotional dynamics, life experiences, and self-identification within new social landscapes and power configurations. This systematic review aims to evaluate, integrate, and analyse the current empirical evidence in qualitative migration research using walking/go-along interviews for different types of migrants (defined as an individual who moves away from his or her place of usual residence, whether within a country or across an international border, temporarily or permanently, and for a variety of reasons). This review brings together for the first time the knowledge and insights from migration research that involves walking interviews. This review employs framework synthesis to analyse the 24 included articles, identifying five major themes: (1) synergising diverse research methods within different research designs; (2) adjustment of power dynamics; (3) migrants’ place-based threefold agency; (4) migrants' identity construction; (5) place-based sense of belonging or exclusion. By integrating these themes, the methodological contribution of this review lies in recognizing the advantages of combining walking interviews with other research methods, which lies in capturing the multidimensional aspects of mobility, allowing researchers to flexibly switch between methodological strategies and spatial scales. Additionally, this paper recommends a deeper exploration of migratory experiences to transcend prevailing practical knowledge and pay sensitive attention to potential ethical issues throughout the research. Such investigation has the potential to uncover the dynamic evolution of agency, identity construction, and the fluctuating sense of belonging among various migrants throughout their journey

    Human Pose Estimation using Global and Local Normalization

    Full text link
    In this paper, we address the problem of estimating the positions of human joints, i.e., articulated pose estimation. Recent state-of-the-art solutions model two key issues, joint detection and spatial configuration refinement, together using convolutional neural networks. Our work mainly focuses on spatial configuration refinement by reducing variations of human poses statistically, which is motivated by the observation that the scattered distribution of the relative locations of joints e.g., the left wrist is distributed nearly uniformly in a circular area around the left shoulder) makes the learning of convolutional spatial models hard. We present a two-stage normalization scheme, human body normalization and limb normalization, to make the distribution of the relative joint locations compact, resulting in easier learning of convolutional spatial models and more accurate pose estimation. In addition, our empirical results show that incorporating multi-scale supervision and multi-scale fusion into the joint detection network is beneficial. Experiment results demonstrate that our method consistently outperforms state-of-the-art methods on the benchmarks.Comment: ICCV201

    Spatial second-order positive and asymptotic preserving filtered PNP_N schemes for nonlinear radiative transfer equations

    Full text link
    A spatial second-order scheme for the nonlinear radiative transfer equations is introduced in this paper. The discretization scheme is based on the filtered spherical harmonics (FPNFP_N) method for the angular variable and the unified gas kinetic scheme (UGKS) framework for the spatial and temporal variables respectively. In order to keep the scheme positive and second-order accuracy, firstly, we use the implicit Monte Carlo linearization method [6] in the construction of the UGKS numerical boundary fluxes. Then, by carefully analyzing the constructed second-order fluxes involved in the macro-micro decomposition, which is induced by the FPNFP_N angular discretization, we establish the sufficient conditions that guarantee the positivity of the radiative energy density and material temperature. Finally, we employ linear scaling limiters for the angular variable in the PNP_N reconstruction and for the spatial variable in the piecewise linear slopes reconstruction respectively, which are shown to be realizable and reasonable to enforce the sufficient conditions holding. Thus, the desired scheme, called the PPFPNPPFP_N-based UGKS, is obtained. Furthermore, in the regime ϵ≪1\epsilon\ll 1 and the regime ϵ=O(1)\epsilon=O(1), a simplified spatial second-order scheme, called the PPFPNPPFP_N-based SUGKS, is presented, which possesses all the properties of the non-simplified one. Inheriting the merit of UGKS, the proposed schemes are asymptotic preserving. By employing the FPNFP_N method for the angular variable, the proposed schemes are almost free of ray effects. To our best knowledge, this is the first time that spatial second-order, positive, asymptotic preserving and almost free of ray effects schemes are constructed for the nonlinear radiative transfer equations without operator splitting. Various numerical experiments are included to validate the properties of the proposed schemes

    New Continuum Observations of the Andromeda galaxy M31 with FAST

    Full text link
    We present a new total intensity image of M31 at 1.248 GHz, observed with the Five-hundred-meter Aperture Spherical radio telescope (FAST) with an angular resolution of 4 arcmin and a sensitivity of about 16 mK. The new FAST image clearly reveals weak emission outside the ring due to its high sensitivity on large-scale structures. We derive a scale length of 2.7 kpc for the cosmic ray electrons and find that the cosmic ray electrons propagate mainly through diffusion by comparing the scale length at 4.8 GHz. The spectral index of the total intensity varies along the ring, which can be attributed to the variation of the spectra of synchrotron emission. This variation is likely caused by the change of star formation rates along the ring. We find that the azimuthal profile of the non-thermal emission can be interpreted by an axisymmetric large-scale magnetic field with varying pitch angle along the ring, indicating a complicated magnetic field configuration in M31.Comment: 9 papge
    • …
    corecore