Detrended Fluctuation Analysis of the Human EEG during Listening to Emotional Music

A nonlinear method named detrended fluctuation analysis （DFA） was utilized to investigate the scaling behavior of the human electroencephalogram （EEG） in three emotional music conditions （fear, happiness, sadness） and a rest condition （eyes-closed）. The results showed that the EEG exhibited scaling behavior in two regions with two scaling exponents β1 and β2 which represented the complexity of higher and lower frequency activity besides α band respectively. As the emotional intensity decreased the value of β1 increased and the value of β2 decreased. The change of β1 was weakly correlated with the ＇approach-withdrawal＇ model of emotion and both of fear and sad music made certain differences compared with the eyes-closed rest condition. The study shows that music is a powerful elicitor of emotion and that using nonlinear method can potentially contribute to the investigation of emotion.     

川中丘陵区地表干湿长程相关性及影响因素研究（研究生论坛）

为探究川中丘陵区干湿动态动力学机制,提供旱涝预测的理论依据。根据川中丘陵区8个气象站点1958~2013年逐日气象资料,采用Penman—Monteith 模型计算潜在蒸散量,构建出湿润指数。在此基础上,基于去趋势波动分析方法（DFA）,对逐月、分季节、极端干湿湿润指数进行长程相关性分析,并探讨了影响湿润指数长程相关性的气象因子。结果表明：除南充、遂宁外,其余地区逐月湿润指数变化长程相关,并非完全随机;分季节与极端干湿湿润指数均具有长程相关性;对于不同季节而言,长程相关性以夏季最强,秋、冬两季次之,春季最弱,对于极端气候而言,极端湿润长程相关性强于极端干旱;通过对湿润指数与气象因子长程相关性一致性分析,降水标度指数与湿润指数标度指数呈显著正相关。     

基于Active X技术的呼叫中心设计

提出了呼叫中心模型采用业务与交换分离的设计思想,以Active X技术对中间层进行封装,业务层通过方法和事件与中间层交互。由于交换接入层的消息驱动机制,在Active X控件方法的实现上采用了DFA理论,通过DFA各状态的转换来完成相应的功能。     

基于改进型MF-DFA的月径流序列多重分形分析

应用改进的多重分形消除趋势波动分析法对长江流域某水文站多年月径流资料进行分析计算,结果显示,月径流序列具有长程相关性和多重分形特征,并采用二项倍增串级模型,对其多重分形谱拟合,表明月径流序列具有较强的多重分形性。通过对其初始序列、重排序列和替代序列进行对比分析,揭示出月径流序列多重分形特征是序列本身的长程相关性和胖尾概率分布共同作用的结果,且胖尾概率分布起主要作用。     

有限状态自动机的C#实现

基于Visual C#语言实现了有限状态自动机.该自动机具有小巧轻便、简单易用的优点,可应用于程序复杂界面的操作与控制.     

基于DFA的多级IDS安全性评测

本文在对IDS进行安全性评测的基础上,提出了基于DFA的多级混合评测的方法,使评测过程更简单直观,实验证明这种方法提高了原有测试系统的广度与深度,使测试结果更加可信。     

基于动态默认转移的深度包检测算法

由于基于确定性有限自动机（DFA）的多模式匹配算法对内存的需求比较大,因此需要对DFA进行优化,以减少其对内存的需求量。算法通过用动态默认转移来替代DFA的failto转移,将DFA中大量的failto转移删掉,从而达到优化DFA的目的。实验结果证明,该算法能有效地优化DFA对内存的需求。     

面向装配的CAD技术研究

面向装配的设计DFA(Design for Assembly）是并行工程的一个有效工具。本文系统阐述了DFA的发展 、意义及其与传统的考虑装配工艺性的区别;介绍DFA的主要内容和几个典型的DFA分析方法,重点分析Boothroyd-Dewhurst方法和步骤;叙述集成CAD技术的DFA应解决的问题及典型的DFA分析软件;最后总结了DFA的研究特点。     

有穷自动机的多媒体教学系统设计

利用多媒体技术的优势,采用多媒体课件制作工具Flash 8.0软件,将图形、动画和影视等多种媒体的素材溶于编译原理课程的教学课件中,形成富有特色的多媒体教学课件;学生通过系统能够进行自主学习,提高对形式语义、有穷自动机等抽象内容的学习兴趣、增强课堂教学效果。设计了该有穷自动机多媒体教学系统,既可在课堂上演示,也可在课后由学生自主观摩,以增强对编译原理课程的学习效果。     

Learning commutative deterministic finite state automata in polynomial time

We consider the problem of learning the commutative subclass of regular languages in the on-line model of predicting {0,1∼-valued functions from examples and reinforcements due to Littlestone [7,4]. We show that the entire class of commutative deterministic finite state automata (CDFAs) of an arbitrary alphabet sizek is predictable inO(s ^k) time with the worst case number of mistakes bounded above byO(s ^kk logs), wheres is the number of states in the target DFA. As a corollary, this result implies that the class of CDFAs is also PAC-learnable from random labeled examples in timeO(s ^k) with sample complexity, using a different class of representations. The mistake bound of our algorithm is within a polynomial, for a fixed alphabet size, of the lower boundO(s+k) we obtain by calculating the VC-dimension of the class. Our result also implies the predictability of the class of finite sets of commutative DFAs representing the finite unions of the languages accepted by the respective DFAs. Part of this work was supported by the Office of Naval Research under contract number N00014-87-K-0401 while the author was at the Department of Computer and Information Science, University of Pennsylvania, and N0014-86-K-0454 while at the Department of Computer and Information Sciences, U.C. Santa Cruz. The author’s email address is abe@IBL.CL.nec.co.jp