翻领成型器领口曲线的程序计算展开法

根据翻领成型器领口曲线的数学模型，介绍一种利用计算器复杂公式存贮的特殊功能，预编程序计算相关参数。然后画领口曲线展开图的方法。     

隔河岩重力拱坝拱座深层处理平面有限元分析

清江隔河岩重力拱坝坝基地质条件复杂，软弱夹层，断裂构造多，岩溶发育，两岸拱座存在局部滑动问题。     

硅灰混凝土的研究及其在公路道面的应用

 了提高道路路面混凝土的抗磨能力，采用硅灰代替部分水泥的方法，对硅灰混凝土的性能进行了较系统的试验研究。成果表明其抗压强度、抗弯强度、抗磨强度等指标都得到明显提高，全面达到和超过了规范要求。并已在丹江口水利枢纽上坝公路中得到应用，实践证明硅灰混凝土技术可靠、经济合理、易于施工。特别是抗磨度的提高，对延长公路路面的使用寿命具有重要意义。     

炸药压装爆炸事故剖析

文中依据压爆事故的实例，对其产生的原因做了剖析，在剖析的基础上对压爆机理做了简要的阐述并提出了相应的预防措施。     

一种放射CT重建的鲁棒估计算法

放射CT的重建问题可以归结为一种基于泊松分布的最大似然估计（MuxnimumLikelihood,ML），其中最著名的如EM算法[1]，这种算法存在的问题是鲁棒性不强，当观测数据中存在一些出格点（outlier）（如2％）时，EM算法的性能就变得很差。本文分析了算法性能变差的原因，将泊松分布近似为高斯分布后，仿照鲁律估计中的M-估计，构造了一种鲁棒性很强的EM改进算法。实验结果表明，即使在投影数据中混有10％的出格点，仍能重建出满意的结果来。     

CROSS-SPECTRAL MOMENT AND SVD METHODS ESTIMATING THE PARAMETERS OF CLOSE SINUSOIDS IN COLORED NOISE

The cross-spectral estimation methods are efficient in estimating the parameters of sinusoidal signals embedded in colored noise. But up to now, only FPT and cross-periodogram methods are used in this field, the modern auto-spectral estimation method is introduced into cross-spectral estimation in this paper, meanwhile the cross-correlation based Yule-Walker equation is proposed theoretically and the moment and singular-value decomposition (SVD)) algorithms for cross-spectral estimation have been developed. Finally, a numerical example is given for comparing the presented methods with the well-known Cadzow's SVD method.     

Convergence of iterated boolean sums of simultaneous approximants

Explicit error estimates are given for the iterated Boolean sum of a sequence of simultaneous approximants; the rate of convergence is shown to be improved for smooth functions. The general results are applied in the case of the Bernstein, Durrmeyer and Stancu operators.     

在役加氢反应器试验板脆化和氢损伤的测定与研究

充分利用了带主焊缝的役后试板，在国内首次开展回火脆化、氢介质下断裂韧性与疲劳扩展的研究，结果表明，加氢反应器焊缝有明显的脆化表现。同时，核查了反应器开停车升温速度和降温速度规定，以及确定了裂纹允许尺寸的参考数据，为今后安全运行提供了充分的依据。     

一般应力比时焊接结构S－N曲线的预测方法

本文考虑了焊接结构的几何形状、受载形式、应力比、残余应力、尺寸效应以及材料等因素对疲劳寿命的影响，利用Ｐｅｔｅｒｓｏｎ公式和极值疲劳切口系数概念，建立了一般应力比时焊接结构Ｓ－Ｎ曲线的预估模型．文中对几类典型的焊接结构的Ｓ－Ｎ曲线进行了预测，预测值与实验结果符合较好．本文方法可以大量减少疲劳实验，具有一定的工程实用价值．     

Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans

A mobile robot exploring an unknown environment has no absolute frame of reference for its position, other than features it detects through its sensors. Using distinguishable landmarks is one possible approach, but it requires solving the object recognition problem. In particular, when the robot uses two-dimensional laser range scans for localization, it is difficult to accurately detect and localize landmarks in the environment (such as corners and occlusions) from the range scans.In this paper, we develop two new iterative algorithms to register a range scan to a previous scan so as to compute relative robot positions in an unknown environment, that avoid the above problems. The first algorithm is based on matching data points with tangent directions in two scans and minimizing a distance function in order to solve the displacement between the scans. The second algorithm establishes correspondences between points in the two scans and then solves the point-to-point least-squares problem to compute the relative pose of the two scans. Our methods work in curved environments and can handle partial occlusions by rejecting outliers.