浅析新家族小说中父辈与子辈的关系构筑

论述80年代后期以降先锋一代作家创作的"新家族小说"中父辈与子辈关系的构筑。这批新家族 小说文本呈现了鲜明的寓言状态,这种寓言状态反映在家族内部的个体身上,家族成员的角色功能得到空前的 发挥。那么,作为寓言状态呈现的家族文本在父辈与子辈的关系构筑上呈现着自觉的改造。本文指出小说文本 在对家族历史进行着历史叙事的戏仿与欲望书写的同时,"父"与"子"的身份面临着共同沦丧与定位困惑。     

完全3部图的一类同构分解

本文构造性地证明，对于完全3部图 G（X，Y，Z；E），如果边数能被正整数t整除，且｜X｜, ｜Y｜和｜Z｜三个数之一也能被t整除，则完全3部图可分解为t个同构因子，从而证实了Harary “3部图猜想”的部分结论。     

单摆实验的一种改进方法

通过一种模拟改变重力加速度 g大小的方法来测量单摆的振动周期 T,从而更全面的验证了单摆的振动周期公式 :T=2 π lg 的正确性。     

关于"线性空间”教材处理方法的探讨

通过"概念的引入,定理的证明,例题的讲解,内容的归纳和提炼”,谈关于线性空间教材处理的方法.     

关于本性矩阵的注记

该文给出了欧氏空间Rn的子空间的本性矩阵在与子空间的一一对应关系,以及子空间的直和、正交子空间等方面的一些结果.     

Application of stochastic method to optimum design of energy-efficient induction motors with a target of LCC

For an energy-efficient induction machine, the life-cycle cost (LCC) usually is the most important index to the consumer. With this target, the optimization design of a motor is a complex nonlinear problem with constraints. To solve the problem, the authors introduce a united random algorithm. At first, the problem is divided into two parts, the optimal rotor slots and the optimization of other dimensions. Before optimizing the rotor slots with genetic algorithm ( GA), the second part is solved with TABU algorithm to simplify the problem. The numerical results showed that this method is better than the method using a traditional algorithm.     

基于语音学分类的汉语三音子识别单元的算法

为提高语音识别系统的性能,针对汉语语音的单音节结构的特点,提出了建立三音子识别单元的方法。这种方法完全利用语音学知识对上下文进行分类从而实现参数共享,而不同于传统的数据驱动的聚类共享。提出并实现了采用三音子单元的识别系统的训练算法和识别搜索算法。实验表明:基于语音学分类的三音子单元对识别性能有明显的改善,系统的首选误识率相对基线系统降低了28%。     

印度记数法在伊斯兰世界的传播

主要论述印度记数法是在怎样的背景下传入伊斯兰世界,在伊斯兰世界的传播都经历了哪些曲折的过程,最终又是怎样流入西欧的,中世纪穆斯林学为印度记数法的传播做出了重要贡献,中重点介绍印度记数法最早的宣传花拉子米所写的第一本专门介绍印度记数法的作《印度算术书》,并进一步探讨了这部作是根据哪些来源于印度的材料完成的。     

混凝土高拱坝孔口三维非线性分析

采用有限元方法中的子模型技术,对混凝土高拱坝的1^#底孔进行了三维非线性分析,研究了孔口在坝体自重、库水压力和温度作用下混凝土开裂和裂缝发展情况,以及配筋对孔口开裂的影响。研究表明,采用子模型法不仅大大降低了网格剖面的难度,而且减少了三维非线性分析的计算时间。     

Prediction of solar cycle based on the invariant

A new method of predicting solar activities has been introduced in this paper. The method can predict both the occurrence time and the maximum number of sunspot at the same time. By studying the variation of sunspot, we find that the combination of the several variables was nearly invariable during the entire solar cydes, as called invariant. And just only by determining the start time of a cycle, we can predict the occurrence time of cycle‘s peak value accurately. Furthermore, according to observational data of the sunspot cycles, it showed that the sunspot maximum number has correlation not only with the prophase variety of the number in the cycle but also with the anaphase of the previous period. So we can introduce an equivalent regression coefficient, which can dynamically self-adapt to different cycle lengths, and effectively solve the inconsistency between the accuracy and the lead-time of the forecast. It can guarantee the satisfied accuracy and effectively increases the lead-time of the forecast. This method can predict the maximum sunspot number for solar cycle at the approximate half rise of the period. This method predicts that the occurrence time of the maximum sunspot number for cycle 24 will be in January 2011.