整体优化 提高高校学报质量

本文从学报形成的全过程入手,分析了影响学报质量的诸因素,提出了人与科学技术相结合;编者与作者相结合;编者与读者需要相结合;办刊与高校教育相结合来提高学报质量的观点,使学报在信息传播的全过程中实现整体优化。     

基于模拟电路的无刷直流电动机神经元控制器

从神经元特性出发，研究一种适用于无刷直流电动机控制的模拟电路神经元控制器，获得连续的神经元控制器表达式和权值变化表达式，并进行原理框图设计和给出具体的权值学习电路，仿真实验表明，该控制器具有良好的控制品质，证明了该系统的有效性。     

关于亚纯函数组的几个定理

证明了关于亚纯函数组的几个定理，这些定理在亚纯函数唯一性理论的研究中将起重要作用．     

天坛声学现象的首次测试与综合分析

世界上最大的祭天建筑群－天坛，以其宝贵的艺术价值和丰富的文化内涵为举世瞩目，又以其奇妙的声学现象位列我国四大回音古建筑之首。该文首次运用现代物理实验方法和先进的测试仪器对天坛声学现象进行了现场测试与综合分析，揭示了“回音壁”、“一音石”、“二音石”、“三音石”、“圜丘台”和新发现的“对话石”声学现象机理，对古建筑声学现象研究提出了一些新见解。     

长白山植物区系研究

长白山植物区系具有以下特征：1）植物种类比较丰富，共计维管植物105科、336属、610种．2）优势现象比较明显．3）本地区属典型的温带分布，地理成分较复杂．4）种的特有现象明显．5）该区系具有古老性．     

基于垂直区域宽度分解的无人机覆盖航迹规划

为解决多无人机执行区域覆盖任务时,存在覆盖效率低的问题,提出了基于垂直区域宽度分解的无人机覆盖航迹规划算法。首先,为了尽可能以最少的转弯次数完成任务,提出了垂直区域宽度分解法。然后,考虑到实际运用中由于飞手数量与无人机数量不匹配,导致资源分配不均的问题,使用垂直区域宽度分解法将任务区域分解为待覆盖的子航迹集合,并建立了以时间代价为目标函数的混合整数线性规划子航迹分配模型,来根据飞手数量与无人机数量动态的将子航迹进行均衡分配,达到提高覆盖效率的目的。最后,通过仿真实验验证了该算法的有效性。     

Helmholtz Solving and Performance Optimization in Global/Regional Assimilation and Prediction System

Despite efficient parallelism in the solution of physical parameterization in the Global/Regional Assimilation and Prediction System(GRAPES), the Helmholtz equation in the dynamic core, with the increase of resolution, can hardly achieve sufficient parallelism in the solving process due to a large amount of communication and irregular access. In this paper, optimizing the Helmholtz equation solution for better performance and higher efficiency has been an urgent task. An optimization scheme for the parallel solution of the Helmholtz equation is proposed in this paper. Specifically, the geometrical multigrid optimization strategy is designed by taking advantage of the data anisotropy of grid points near the pole and the isotropy of those near memory equator in the Helmholtz equation,and the Incomplete LU(ILU) decomposition preconditioner is adopted to speed up the convergence of the improved Generalized Conjugate Residual(GCR), which effectively reduces the number of iterations and the computation time.The overall solving performance of the Helmholtz equation is improved by thread-level parallelism, vectorization, and reuse of data in the cache. The experimental results show that the proposed optimization scheme can effectively eliminate the bottleneck of the Helmholtz equation as regards the solving speed. Considering the test results on a 10-node two-way server, the solution of the Helmholtz equation, compared with the original serial version, is accelerated by 100, with one-third of iterations reduced.     

高沁高速公路长寿命沥青路面设计方案分析与比较

文章通过介绍长寿命路面的概念、结构特点及发展状况,结合产煤大省山西特重车道较多的特点,从设计理论、经济指标的角度对高沁高速公路长寿命路面的设计方法进行了探讨,分析了长寿命沥青路面与传统混凝土路面的结构形式及费用-效益之差。     

Taiga: Performance Optimization of the C4.5 Decision Tree Construction Algorithm

Classification is an important machine learning problem, and decision tree construction algorithms are an important class of solutions to this problem. Rain Forest is a scalable way to implement decision tree construction algorithms. It consists of several algorithms, of which the best one is a hybrid between a traditional recursive implementation and an iterative implementation which uses more memory but involves less write operations. We propose an optimized algorithm inspired by Rain Forest. By using a more sophisticated switching criterion between the two algorithms, we are able to get a performance gain even when all statistical information fits in memory. Evaluations show that our method can achieve a performance boost of 2.8 times in average than the traditional recursive implementation.