Addition Sequence Method of Scalar Multiplication of Elliptic Curve over OEF

A new elliptic curve scalar multiplication algorithm is proposed. The algorithm uses the Frobenius map on optimal extension field (OEF) and addition sequence. We introduce a new algorithm on generating addition sequence efficiently and also give some analysis about it. Based on this algorithm, a new method of computing scalar multiplication of elliptic curve over an ()EF is presented. The new method is more efficient than the traditional scalar multiplication algorithms of elliptic curve over OEF. The comparisons of traditional method and the new method are also given.     

Approximation of NURBS Curves and Surfaces Using Adaptive Equidistant Parameterlzatlons

Non-uniform rational B-spline (NURBS) curves and surfaces are very important tools for modelling curves and surfaces. Several important details, such as the choice of the sample points, of the parameterization, and of the termination condition, are however not well described. These details have a great influence on the performance of the approximation algorithm, both in terms of quality as well as time and space usage. This paper described how to sample points, examining two standard parameterizations: equidistant and chordal. A new and local parameterization, namely an adaptive equidistant model, was proposed, which enhances the equidistant model, Localization can also be used to enhance the chordal parameterizatfon, For NURBS surfaces, one must choose which direction will be approximated first and must pay special attention to surfaces of degree 1 which have to be handled as a special case.     

浅谈精煤最高产率原则

提出了精煤最高产率原则的概念，通过数学证明与物理解释，结合太原煤炭气化（集团）公司晋阳选煤厂原煤情况，对3种不同的洗选方案进行了分析对比，找出了符合精煤最高产率原则的洗选方案，阐明了采用符合精煤最高产率原则的洗选方案对选煤厂生产经营的实际指导意义。     

利用Mahalanobis距离进行人脸表情的识别

提出了利用Mahalanobis距离进行人脸表情识别的方法.首先将待分类的图像样本集进行坐标变换,使得变换以后类间离散度尽可能大而类内离散度尽可能小,即使变换以后的Fisher准则函数取得极大值,在新的坐标下求每个待分类样本到各类均值向量的Mahalanobis距离,从而将待分类的样本归到Mahalanobis距离最小的类中去,通过实验得到了平均80.25%的识别率.     

利用高分辨率和极化信息进行目标识别的研究

极化特征用于目标识别的一项主要研究是将极化信息与高分辨率雷达技术相结合.在研究了目标特定的极化变换作用后,提出了基于一维距离像,利用目标回波中的极化现象对目标进行识别,并得出了有关目标识别特性的结论.     

基于结构化特征语音模型的区别性说话人自适应算法

针对特征语音说话人自适应算法的缺陷,提出了基于结构化特征语音模型的区别性说话人自适应方法.该算法能根据自适应数据量调整自适应参数,并采用基于最大互信息量准则的区别性参数估计方法,进一步提高了自适应性能.有监督自适应的实验结果表明,在仅有一句自适应语句的情况下系统误识率相对下降了6.7%,同时算法表现出了优于特征语音自适应方法的渐进性能.     

频率特性测量方法及改进

介绍了点频法测量频率特性的具体方法，后对其进行改进。因为函数信号发生器输出信号频率的连续可调并可显示，将其作为信号源；示波器作为测试和检测仪器。     

字母识别的神经网络方法

本文作者用人工神经网络进行英文字母的识别工作。首先进行了字母的数字化转化,将图像格式转化为数字格式,用5×7矩阵的布尔值表示每个字母;然后设计了反向传播型人工神经网络模型;最后,用经过训练的模型对字母进行识别,结果表明:噪声信号的平均水平低于0.2时,神经网络模型能够完全正确识别26个字母;噪声水平在0.2时,神经网络模型开始出现错误,随着噪声水平的增加,神经网络模型的识别率逐渐下降。     

预应力混凝土连续曲线箱梁布束问题的探讨

以某三跨预应力混凝土曲线连续箱梁为对象,总结了国内预应力曲线箱梁桥布束中存在的问题,应用大型通用有限元分析程序ANSYS建立曲线箱梁的有限元模型,对其布束方式进行探讨.该研究为今后预应力混凝土连续曲线的钢束设计提供一定的参考.     

行政合同本质探源

文章主要探讨行政合同的法律属性及相关理论问题,通过比较大陆法系和英美法系的理论和实践,探索行政合同的本质,意图提出行政合同的法律识别标准。