基于混合优化算法的关节臂式测量机参数标定

为进一步提高关节臂式坐标测量机等高机动性精密测量设备的测量精度,使用D-H矩阵法建立其关节坐标转换数学模型并据此推导出参数误差模型.针对非线性多参数标定问题,通过变换分析消除了最小二乘法求解时矩阵中的冗余参数,降低了计算的复杂性.设定判定准则并实现最小二乘法和模拟退火算法的混合,提出了一种基于混合优化算法的参数标定方法,解决了LM算法的初值设定和SA算法的搜索效率逐步降低的问题.实验结果表明:关节臂式测量机参数经混合优化算法标定后,参数的误差范围有了显著的缩小,单点重复性误差的平均值减小了1.746 mm,长度误差的平均值减小了0.941 mm,测量误差得到了进一步的抑制.     

“百病生于气”疾病观的针灸临床应用

 “百病生于气”见于《素问·举痛论》，几千年来始终是中医临床认识疾病、防治疾病的重要理论依据之一。对气的含义及气机失调致病的机制进行了梳理，得出了“百病生于气”的基本含义可以概括为气机失调是疾病发生的基本病机的结论，情志因素、精神心理是导致疾病发生的重要内因。分析认为“百病生于气”的理论对于针灸临床有重要指导意义，针灸诊疗过程中应注重“调气”“调神”，这是针灸取得佳效的根本保障。     

浅谈功率因数的补偿及其应用

根据我国当前电力系统运行情况，对电网无功功率补偿的必要性及通用补偿方法及其装置进行了具体阐述。     

建筑物地基处理的设计与施工探讨

以具体工程为例，介绍了建筑物地基处理的设计、施工中遵循的原则，施工中遇到特殊情况时采取的处理方法和必要的检测方法，对几种桩基的设计要求、施工工艺及过程、质量控制等情况进行了简单阐述。     

顶凌覆盖节水增产技术研究

通过1998年、2000年的试验研究，系统分析了顶凌覆盖技术在高寒区节水增温保温、增产增收的机理及其应用效果。提出该技术可以缓解低温干旱特别是春旱对农业生产的困扰，是一项可以抗旱保春播增产增收的实用技术，在高寒地区具有较高的推广价值。     

多元有序地质数据的最优分割法在工程中的应用

采用数学地质理论中的多元有序地质数据的最优分割方法对工程场地松散岩土层亚层进行了划分。实践证明 ,在土样物理力学性能评价指标选取合理的前提下 ,该方法简单方便 ,行之有效 ,可作为一种辅助手段帮助地质人员开展对土层的详细研究     

PVA退浆废水预处理研究

PVA（聚乙烯醇）是一种高分子合成浆料，它广泛用于纺织，染整行业中，由于其可生化降解性差，会影响到废水处理，为此研究了化学絮凝，微滤和超滤对废水中高浓度PVA的预处理技术，并评价了三种预处理工艺的效果。     

Influence of Microstructure and Sintering Routes on Transport Properties of Apatite Materials for Fuel Cells

1 Results Oxy-apatite materials are thought as zirconia-substitutes in Solid Oxide Fuel Cells due to their fast ionic conduction. However, the well known difficulties related to their densification prevent them from being used as such. This study presents strategies to obtain oxy-apatite dense materials and the influence of elaboration route on transport properties. Particular emphasis is put on the microstructure effect on ion conduction. By the combined use of freeze-drying and conventional or spark p...     

Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms

In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the amalgamation process. The traditional approach for solving this drawback has been to take any arbitrary criterion in order to break ties between distances, which results in different hierarchical classifications depending on the criterion followed. In this article we propose a variable-group algorithm that consists in grouping more than two clusters at the same time when ties occur. We give a tree representation for the results of the algorithm, which we call a multidendrogram, as well as a generalization of the Lance andWilliams’ formula which enables the implementation of the algorithm in a recursive way. The authors thank A. Arenas for discussion and helpful comments. This work was partially supported by DGES of the Spanish Government Project No. FIS2006–13321–C02–02 and by a grant of Universitat Rovira i Virgili.