当前基于架线弛度进行计算以及调整的思路研究

在电力网络的建设过程中,架空线是其输电线路中一种非常常见的施工形式,但是在其施工的过程中,要能够保证较好的工作质量,对其架线驰度进行有效的计算是非常必要,在传统的计算方法中,应用手工的计算方法对其架线驰度进行计算与调整,计算量加大,存在较大的计算误差,而将Excel自动计算方法应用于架线驰度的计算中,具有较高的计算效率,本文就主要介绍了其计算流程、实现方案及计算方法。     

以计算思维为导向的大学“计算机基础”课程教学改革研究

计算思维是目前大学计算机基础教学研究的热点课题之一.为了解决大学"计算机基础"课程改革中计算思维能力培养"落地"难的问题,在深入剖析了一些似是而非观点的基础上,提出从案例引入思维,知识传授以思维为主线贯穿于教学过程,并且思维指导应用的教学模式.与传统的教学模式相比,该模式为教师提供了更好的教学思路和策略,为思维教学、创新教学提供了参考.     

PBNA： An Improved Probabilistic Biological Network Alignment Method

Biological network alignment is an important research topic in the field of bioinformatics. Nowadays almost every existing alignment method is designed to solve the deterministic biological network alignment problem.However, it is worth noting that interactions in biological networks, like many other processes in the biological realm,are probabilistic events. Therefore, more accurate and better results can be obtained if biological networks are characterized by probabilistic graphs. This probabilistic information, however, increases difficulties in analyzing networks and only few methods can handle the probabilistic information. Therefore, in this paper, an improved Probabilistic Biological Network Alignment（PBNA） is proposed. Based on Iso Rank, PBNA is able to use the probabilistic information. Furthermore, PBNA takes advantages of Contributor and Probability Generating Function（PGF） to improve the accuracy of node similarity value and reduce the computational complexity of random variables in similarity matrix. Experimental results on dataset of the Protein-Protein Interaction（PPI） networks provided by Todor demonstrate that PBNA can produce some alignment results that ignored by the deterministic methods, and produce more biologically meaningful alignment results than Iso Rank does in most of the cases based on the Gene Ontology Consistency（GOC） measure. Compared with Prob method, which is designed exactly to solve the probabilistic alignment problem, PBNA can obtain more biologically meaningful mappings in less time.     

An Overview of Kernelization Algorithms for Graph Modification Problems

Kernelization algorithms for graph modification problems are important ingredients in parameterized computation theory. In this paper, we survey the kernelization algorithms for four types of graph modification problems, which include vertex deletion problems, edge editing problems, edge deletion problems, and edge completion problems. For each type of problem, we outline typical examples together with recent results, analyze the main techniques, and provide some suggestions for future research in this field.     

Semiparametric Preference Learning

Unlike traditional supervised learning problems,preference learning learns from data available in the form of pairwise preference relations between instances.Existing preference learning methods are either parametric or nonparametric in nature.We propose in this paper a semiparametric preference learning model,abbreviated as SPPL,with the aim of combining the strengths of the parametric and nonparametric approaches.SPPL uses multiple Gaussian processes which are linearly coupled to determine the preference relations between instances.SPPL is more powerful than previous models while keeping the computational complexity low （linear in the number of distinct instances）.We devise an efficient algorithm for model learning.Empirical studies have been conducted on two real-world data sets showing that SPPL outperforms related preference learning methods.     

小学数学五年级下册第五单元自测题

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基于多元线性回归的放行签派员工作负荷评估方法

该文运用专家访谈法、调查法对影响放行签派员工作负荷的因子进行归纳整理,对影响因子做相关性分析,得出对工作负荷影响较大的11个因子,最后运用多元线性回归进行迭代得出签派员工作负荷模型.     

深埋地下洞室柱状节理围岩变形特征分析

【目的】金沙江白鹤滩水电站输水系统中的尾水调压室规模巨大，洞室埋深大，穹顶柱状节理玄武岩发育，地质条件复杂，为了降低围岩变形破坏的风险，保证工程安全，节约生产成本，需对深埋地下洞室柱状节理围岩变形特征进行分析。【方法】依托右岸深埋地下洞室8#尾水调压室，结合现场工程地质资料及施工过程，运用非连续介质力学的数值计算方法，得出无支护条件下穹顶在柱状节理岩体及完整岩体两种情况下围岩的应力应变分布，继而分析评价两种情况下围岩可能出现的变形特征。【结果】结果表明，柱状节理的发育使穹顶开挖面附近浅层围岩强度降低、应力集中区与开挖面的距离增大，围岩塑性区深度显著增大；受初始最大主应力方向及柱状节理各向异性影响，穹顶S侧翼围岩变形值及N/S两侧翼变形值的差异均有所增大，层间错动带C5在N侧法向应力有所减弱，在S侧的松弛变形有所增大。【结论】分析方法及结果符合地下工程设计施工的一般规律，为围岩稳定、设计方案和支护安全评价提供了有力支撑，具有可靠的工程指导价值。     

Image separation using wavelet-complex shearlet dictionary

This paper presents a new method for image separation through employing a combined dictionary consisting of wavelets and complex shearlets. Because the combined dictionary sparsely represents points and curvilinear singularities respectively, the image can be decomposed into pointlike and curvelike parts as accurate as possible. The proposed method based on the geo- metric separation theory introduced by Donoho in 2005 shows that accurate geometric separation of the morphologically distinct fea- tures of points and curves can be achieved by l1 minimization. The experimental results show that the proposed method can not only be effective but also greatly reduce the computing time.     

用概念图激发学生计算思维

本文将思维导图作为教与学的策略和工具嵌入《C语言程序设计》课程教学过程中,并以此构建学生的知识网络,帮助学生搭建软件基础理论体系。有助于学生整合新旧知识、浓缩知识结构,从而使学生从整体上把握知识,将课程的新旧内容进行很好地衔接,激发学生计算思维。