Interaction model of artificial fish in virtual environment

Conventional artificial fish has some shortages on the interaction with environment, other fish, and the animator. This article proposes a multi-tier interaction control model of artificial fish, realizes the interaction model through integration of virtual reality technology and Markov sequence, and provides a virtual marine world to describe the interaction between artificial fish and the virtual environment and the interaction between the artificial fish and the animator. Simulation results show that the interaction model owns not only the basic characteristics of virtual biology, but also has high trueness interaction function.     

Structural characterization of two papaya chitinases, a family GH19 of glycosyl hydrolases

Two chitinases, able to use tetra-N-acetylglucosamine, chitin and chitosan as substrates, were characterized after purification from Carica papaya latex. The complete amino acid sequence of the major form and about 40% of the minor one were determined through proteolytic digestions and mass spectroscopy analysis. Sequencing demonstrated that both papaya chitinases are members of the family 19 of glycosyl hydrolases (GH19). Based on the known 3-D structures of other members of family GH19, it was expected that papaya chitinases would adopt all-alpha structures. However, circular dichroism and infrared spectroscopy indicated, for the papaya chitinases, a content of 15–20% of extended structures besides the expected 40% of alpha helices. Since the fully sequenced papaya chitinase contains a large number of proline residues the possibility that papaya chitinase contains polyproline II stretches was examined in the context of their resistance against proteolytic degradation. Received 11 July 2006; received after revision 13 October 2006; accepted 25 October 2006     

直扩信号的谱检测和神经网络估计

论述了二次谱理论、谱相关理论和神经网络方法在直接序列扩频(DS/SS)信号的检测与估计中的应用,提出了利用谱分析结合神经网络的方法来实现对低信噪比DS/SS信号的参数及其伪码(PN)序列的估计.计算机模拟结果表明,该方法在较低的输入信噪比条件下能良好地工作.     

DMGSP:一种快速分布式全局序列模式挖掘算法

为了解决分布式环境下挖掘全局序列模式常产生过多候选序列,加大网络通信代价问题,提出了一种基于分布式环境下的快速挖掘全局序列模式算法--DMGSP.该算法将分布式环境下的各站点得到的局部序列模式压缩到一种语法序列树上, 避免了重复的序列前缀传输. 采用合并树中结点序列规则和项序扩展策略,对非频繁序列进行剪枝,有效地约简了候选序列,减少了网络传输量,从而快速生成全局序列模式.算法分析和实验结果表明,在大数据集环境下的DMGSP算法性能优越,能够有效地挖掘全局序列模式.     

i-内射半模

该文给出了i-内射半模的概念及一些较好的特征刻划,并讨论了内射半模与i-内射半模的关系.主要有左R半模E是i-内射半模当且仅当反变函子HomR(-,E)真正合,并通过给出弱内射半模的定义得出左R-半模E是内射半模当且仅当E既是弱内射半模又是i-内射半模.     

φ-混合删失模型中密度函数K-M估计的r-阶相合速度

在生存时间与删失时间为 φ 混合序列的情况下，研究并获得了随机删失模型概率密度函数 ｆ（ｘ）的 Ｋ Ｍ（ｋａｐｌａｎ Ｍｅｉｅｒ）估计 ｆｎ（ｘ）的 ｒ阶相合速度。     

病毒基因组中的对称性

病毒基因组中的重复序列比率很低,因为其核酸序列大都是编码区域.如果出现一段同向对称或者是反向对称序列在病毒基因组中,它往往代表一个调控元件,或者是一个信号因子.我们总结了病毒中的一些对称序列,并阐明它的特点,分布及功能.     

重新排序问题的Pareto最优解

为了保证先来顾客的需求和工件本身错位量的要求,着重研究这种使先来顾客的总目标函数值与工件错位量之间达到平衡的问题,即重新排序问题的Pareto最优解问题.对于最大延迟和工件错位量的Pareto最优解问题,给出了这些问题的多项式时间算法或计算复杂度.     

浅析数列极限的教学

数列极限的教学,从总的策略来说,应注重对这个概念内涵的揭示和描述。极限＂ε-N＂语言应根据不同的教学对象确定不同的教授方式。另外,把描述性定义过渡成＂ε-N＂定义时应深入剖析并利于接受。     

耗散KDV型方程的渐近吸引子

摘 要:本文考虑了耗散KDV型方程 的渐近吸引子,即构造了一个有限维解序列.首先利用数学归纳法证明了该解序列不会远离方程的整体吸引子；其次，证明了它在长时间后无限趋于方程的整体吸引子, 并且给出了渐近吸引子的维数估计.