考虑多种损坏构成特征的沥青路面预防性养护决策方法

由于沥青路面损坏构成的多样性, 相同的路面状况指数(pavement condition index, PCI)可能代表不同的损坏组合. 当多种损坏并存且损坏程度接近时, 用PCI和主导损坏(最严重、扣分最多的路面损坏)难以得到具有针对性的养护对策. 因此, 通过对PCI的深入分析, 明确了主导损坏代表性不足的路段, 以现行预防性养护决策方法为基础, 补充了一种考虑损坏构成特征、更具针对性的决策方法. 以上海城市道路近5年的检测、养护数据为分析基础, 首先利用有序聚类算法将路段按PCI水平分组, 分析了不同阶段路面损坏构成和差异水平; 然后, 针对多种损坏并存且损坏差异不显著的路段, 根据预防性养护的实施效果筛选了能够反映正确预防性养护经验的有效养护路段; 最后, 基于有效养护路段建立并对比分析了2个基于BP(back propagation)神经网络的养护决策模型. 结果表明: 当PCI水平介于优良(84.4~93.0分)时, 不同损坏程度接近, 主导损坏代表性不足; 考虑多种损坏构成特征的BP神经网络模型表现出更高的决策精度, 测试集决策正确率达86.20%, 优于仅考虑主导损坏的模型(58.50%). BP神经网络与传统决策树法结合能够优化沥青路面决策过程, 提高养护对策选取的针对性.     

Analytic hierarchy process for multi-sensor data fusion based on belief function theory

Multi-sensor data fusion is an evolving technology whereby data from multiple sensor inputs are processed and combined. The data derived from multiple sensors can, however, be uncertain, imperfect, and conflicting. The present study is undertaken to help contribute to the continuous search for viable approaches to overcome the problems associated with data conflict and imperfection. Sensor readings, represented by belief functions, have to be fused according to their corresponding weights. Previous studies have often estimated the weights of sensor readings based on a single criterion. Mono-criteria approaches for the assessment of sensor reading weights are, however, often unreliable and inadequate for the reflection of reality. Accordingly, this work opts for the use of a multi-criteria decision aid. A modified Analytical Hierarchy Process (AHP) that incorporates several criteria is proposed to determine the weights of a sensor reading set. The approach relies on the automation of pairwise comparisons to eliminate subjectivity and reduce inconsistency. It assesses the weight of each sensor reading, and fuses the weighed readings obtained using a modified average combination rule. The efficiency of this approach is evaluated in a target recognition context. Several tests, sensitivity analysis, and comparisons with other approaches available in the literature are described.     

红树林保护与修复标准发展现状及对策

回顾近20年来中国对红树林的保护以及通过人工造林进行恢复的情况, 梳理我国红树林保护与修复的相关标准, 厘清现行标准存在的问题, 提出如下相应的建议与对策。1) 应结合国家碳中和战略及红树林保护与恢复规划目标, 制定完善的红树林保护与生态修复技术标准体系规划, 加快相关国家标准的出台; 2) 在编制红树林保护与修复相关标准的同时, 应注重红树林固碳能力和增汇效应的提高; 3) 建议制定退塘还林相关标准, 填补国内空白; 4) 应充分落实“自然恢复为主、人工修复为辅”的生态修复原则, 重视并加强红树林保护与修复标准的技术细节制定; 5) 标准的制定和实施应由红树林研究专业机构及专家深度参与, 提高造林成活率。     

浅谈排水管道工程施工常见质量问题的防治

针对排水管道工程施工中常见的管道位置偏移或积水，管道渗漏水，检查井变形、下沉，构配件质量差，回填土沉陷等质量问题，简要地分析研究了其形成原因，并提出了有效的预防及治理措施。     

高师田径教学存在的问题与改革对策

以中小学体育与健康课程的变革为依托 ,阐述了目前高师田径教学存在的问题 ,并提出了一些相应的改革对策     

我国中小企业融资难的成因及对策

中小企业融资难是我国经济发展中一个亟待解决的问题 ,对此提出了一些看法和建议。从中小企业融资现状出发 ,首先分析了中小企业融资难的原因 ,在此基础上提出了相应的对策     

加强化工原理课程建设提高教学质量

提高教学质量的一个关键方面是建设好课程，作就化工原理课程建设从目标确定，课程整合，队伍建设，质量管理，课程评估等多方面进行了探讨，并采取了相应的措施，取得了成绩。     

On one generalization of a DiPerna and Majda theorem

The weak limits of sequences {f(u^ν)}_ν∈? where u^ν's are vector‐valued µ‐measurable functions defined on a compact set Ω and f is (possibly) discontinuous are investigated. As shown by the author (J. Conv. Anal. (to appear)), they are described in terms of integral formulae involving parametrized measures independent of f, similarly as in the classical theorem by Young and its generalization due to DiPerna and Majda. In the present paper we describe the supports of the involved parametrized measures. Copyright © 2006 John Wiley & Sons, Ltd.     

人文精神:人类社会的强大支柱--兼谈强化大学生的人文精神

本文对人文精神的内涵，历史渊源进行了探究，阐明了人文精神在社会发展和人们生活中所起的重要作用，提出了强化大学生人文精神的基本思路和主要措施。     

Projection of Markov Measures May Be Gibbsian

We study the induced measure obtained from a 1-step Markov measure, supported by a topological Markov chain, after the mapping of the original alphabet onto another one. We give sufficient conditions for the induced measure to be a Gibbs measure (in the sense of Bowen) when the factor system is again a topological Markov chain. This amounts to constructing, when it does exist, the induced potential and proving its Hölder continuity. This is achieved through a matrix method. We provide examples and counterexamples to illustrate our results.