对我国土壤肥料若干重大问题的探讨

土壤和肥料资源是保障粮食安全和人类赖以生存的环境的基础,关系到农业与社会的可持续发展等若干重大问题。本文对我国耕地资源特征、利用方式及其演变,农田养分平衡、化肥肥效与土壤肥力演化,肥料技术升级,土壤生物肥力等若干重要土壤肥料问题进行了探讨;提出了发展新型肥料、加强土壤肥力长期监测、培育土壤生物肥力,以及提高有机肥资源效率与安全利用研究等重大工程技术措施的建议。     

加强机关事业单位工会组织规范化

就机关事业单位工会组织的规范化,论述了要以强化民主管理工作为重点的规范化建设,全面提高其工作水平,促进机关事业单位的决策科学化、民主化和民主政治建设,调动干部职工的积极性、创造性,增强机关事业单位凝聚力,推动各项工作圆满完成.     

Improved Approximate Minimum Degree Ordering Method and Its Application for Electrical Power Network Analysis and Computation

Electrical power network analysis and computation play an important role in the planning and operation of the power grid, and they are modeled mathematically as differential equations and network algebraic equations.The direct method based on Gaussian elimination theory can obtain analytical results. Two factors affect computing efficiency: the number of nonzero element fillings and the length of elimination tree. This article constructs mapping correspondence between eliminated tree nodes and quotient graph nodes through graph and quotient graph theories.The Approximate Minimum Degree(AMD) of quotient graph nodes and the length of the elimination tree nodes are composed to build an Approximate Minimum Degree and Minimum Length(AMDML) model. The quotient graph node with the minimum degree, which is also the minimum length of elimination tree node, is selected as the next ordering vector. Compared with AMD ordering method and other common methods, the proposed method further reduces the length of elimination tree without increasing the number of nonzero fillings; the length was decreased by about 10% compared with the AMD method. A testbed for experiment was built. The efficiency of the proposed method was evaluated based on different sizes of coefficient matrices of power flow cases.     

半线性二阶微分方程周期边值问题

本文利用整体反函数理论,研究了半线性二阶微分方程周期边值问题,给出了周期解存在唯一性的充分条件.     

变时滞神经网络指数稳定性条件

基于时滞细胞神经网络(DCNNs)在图像处理等领域的广泛应用,有关它的研究引起了越来越多学者和专家的关注.早期DCNNs稳定性的结果大多由网络权矩阵的分量构成的代数不等式来表示.运用Lyapunov-Krasovskii泛函的方法,研究了DCNNs的指数稳定性,所得充分条件以矩阵的(半)正定形式出现,在实际应用中更加便于验证.与文献中的结果相比较,所得判据适用范围更广.     

系统仿真的发展沿革与展望

本文对系统仿真技术的发展作了扼要的历史回顾，着重介绍了仿真技术近期发展的基础、社会需求和今后发展趋势     

关于二次剩余的q模拟

设P为奇素数,a为正整数且Pa．本文证明了qa-1(q16a;q16a)(p-1)/2/(q16;q16)(p-1)/2≡(a/p)(mod[p]q),其中(x;q)n=(1-x)(1-xq)…(1-xqn-1),[p]q=1 q … qp-1,(a/p)为Legendre符号．     

三次周期样条插值函数的数值稳定性

在插值节点非等距分布的情况下,研究了型值数据误差对三次周期样条插值函数的影响,导出了其误差估计公式,证明了型值数据误差对三次周期样条插值函数的影响是有界的,从而表明三次周期样条函数具有较好的数值稳定性．     

A new adaptive state space construction method for the mobile robot navigation

In order to solve the combinative explosion problems in a continuous and high dimensional state space, a function approximation approach is usually used to represent the state space. The normalized radial basis function （NRBF） was adopted as the local function approximator and a kind of adaptive state space construction strategy based on the NRBF （ASC-NRBF） was proposed, which enables the system to allocate appropriate number and size of the basis functions automatically. Combined with the reinforce- ment learning method, the proposed ASC-NRBF method was applied to the robot navigation problem. Simulation results illustrate the performance of the proposed method.     

Analytical determination of flow resistance characteristic for combination channel inside hydraulic manifold block

Computational fluid dynamics （CFD） was used in conjunction with BP neural network to study the flow resistance characteristic of the combination-channel inside hydraulic manifold block （HMB）. The input parameters of the combination-channel model were confirmed to have effect on the pressure-drop by the numerical method, and a BP neural network model was accordingly constructed to predict the channel pressure-drops. The flow resistance characteristic curves of various channels were achieved, and a performance parameter was given to evaluate the through-flow characteristic of the channel according to the curves. The predictions are in agreement with the numerical computation, indicating that the method can be utilized to accurately determine the flow characteristic of the combination channel with high efficiency.