scheme design
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Based on the requirement of Hexagonal Casing Type Fuel Reactor (HCTFR) nuclear design and the critical physical experiment design method introduced by a single factor, 11 core critical physical experiments are proposed to validate the calculation accuracy and reliability of the nuclear design code CPLEV2. The experiment loading scheme fully takes into account the various components and more than one irradiate hole in the HCTFR core, which is used as critical physical experiment schemes successfully. According to the critical physical experiment data, the reactivity calculation deviations of all critical physical experiments are within ±1.0%. The validation results show that the nuclear design code CPLEV2 has high calculation accuracy and reliability for the core of hexagonal casing type fuel, and it can be used for HCTFR nuclear design.

AbstractSeveral important PDE systems, like magnetohydrodynamics and computational electrodynamics, are known to support involutions where the divergence of a vector field evolves in divergence-free or divergence constraint-preserving fashion. Recently, new classes of PDE systems have emerged for hyperelasticity, compressible multiphase flows, so-called first-order reductions of the Einstein field equations, or a novel first-order hyperbolic reformulation of Schrödinger’s equation, to name a few, where the involution in the PDE supports curl-free or curl constraint-preserving evolution of a vector field. We study the problem of curl constraint-preserving reconstruction as it pertains to the design of mimetic finite volume (FV) WENO-like schemes for PDEs that support a curl-preserving involution. (Some insights into discontinuous Galerkin (DG) schemes are also drawn, though that is not the prime focus of this paper.) This is done for two- and three-dimensional structured mesh problems where we deliver closed form expressions for the reconstruction. The importance of multidimensional Riemann solvers in facilitating the design of such schemes is also documented. In two dimensions, a von Neumann analysis of structure-preserving WENO-like schemes that mimetically satisfy the curl constraints, is also presented. It shows the tremendous value of higher order WENO-like schemes in minimizing dissipation and dispersion for this class of problems. Numerical results are also presented to show that the edge-centered curl-preserving (ECCP) schemes meet their design accuracy. This paper is the first paper that invents non-linearly hybridized curl-preserving reconstruction and integrates it with higher order Godunov philosophy. By its very design, this paper is, therefore, intended to be forward-looking and to set the stage for future work on curl involution-constrained PDEs.

Abstract ABSTRACT.In order to visualize the applications of deep learning based intelligent vehicle in the real field vividly, especially in the unmanned cases in which it realizes the integration of various technologies such as automatic data acquisition, data model construction, automatic curve detection, traffic signs recognition, verification of the unmanned driving, etc. A M-typed Model intelligent vehicle that is embedded with a high-performance board from Baidu named Edge Board is adopted by this study. The vehicle is trained under the PaddlePaddle deep learning frame and Baidu AI Studio Develop platform. Through the autonomous control scheme design and the non-stop study on the deep learning algorithm, an intelligent vehicle model based on PaddlePaddle deep learning is here. The vehicle has the function of automatic driving on the simulated track. In addition, it can distinguish several traffic signs and make feedbacks accordingly.

Education in the new era advocates taking students as the main body and improving students’ core literacy on this basis. Subjectivity has also become one of the keys to quality education. Primary school is not only the initial stage of life, but also the key period to develop students’ subjectivity. At present, there are many problems in class activities, such as the weak concept of taking students as the main body, the lack of subject consciousness among students, the flawed construction system of class activities, the unreasonable evaluation system of class activities, and so on. By establishing the role-playing model under the background of “class activity month,” students can play different roles in class activities and participate in various links, such as theme selection, scheme design, organization, implementation, summary, and evaluation of class activities. Through this process, it does not only improve the quality of class activities, but also cultivate students’ subject consciousness and ability in a certain subject, thus highlighting their subject status in class activities.

Investigate the main links of higher vocational automation and control majors, such as training objectives, curriculum settings, and practical arrangements, in-depth analysis of the status quo of professional students' engineering practice ability, and point out the key issues. The article puts forward the idea of establishing a practical ability training platform with innovation and entrepreneurship as the main driving force. At the same time, the author combines the society’s demand for "innovative and entrepreneurial talents" and the entrepreneurial characteristics of higher vocational automation and control, based on the Java web cloud application design scheme, design a set of higher vocational students’ innovation and entrepreneurship system, which can better support higher vocational students’ innovation "Entrepreneurship" scientific research and training project management, more scientifically guide the smooth development of "innovation and entrepreneurship education" in higher vocational schools.