基于分形布朗运动和Ada Boosting的多类音频例子识别

提出了一种基于分形布朗运动的音频特征提取和识别方法．这种方法使用分形布朗运动模型计算出音频例子的分形维数，并作为其分形特征．针对音频分形特征符合高斯分布的特点，使用Ada Boosting算法进行特征约减．然后分别使用Ada-加权高斯分类器和支持向量机对约减特征后的音频分类，并在两类分类的基础上构造多类分类的模型．实验表明，经过特征约减后的音频分形特征在音乐和语音的分类中都优于其他音频特征．     

低动应力下岩石分数阶Burgers本构模型

动荷载下岩石变形特性是岩土工程界的常见问题之一。为研究岩石低动应力下变形特性,基于分数阶微积分构建分数阶黏壶,将分数阶黏壶替换Burgers模型中Maxwell常值黏壶,建立了可反映低动应力荷载作用下岩石变形规律的分数阶Burgers模型(Fractional-order Burgers Model,FBM)。将动荷载分解为一个静力荷载和一个平均应力值为0的循环荷载,基于流变力学理论给出了静力作用下基于分数阶Burgers模型的岩石流变本构方程,再根据黏弹性力学理论,考虑岩石损伤、裂隙及塑性变形对动荷载下岩石储能柔量和耗能柔量造成的影响,引入储能和耗能柔量变化量,构建了循环荷载下基于分数阶Burgers模型的岩石动态响应本构方程式,最后将已获得的岩石流变本构方程式与动态响应本构方程式叠加,即得到一种新的岩石本构方程。与已有的试验结果相比,改进Burgers模型可较好地描述低动应力状态下岩石减速、等速2个阶段的变形特征,且模型参数可运用数值方法简便得到。     

基于矩母函数的端到端网络统计时延上界研究

为分析网络中自相似业务的时延性能,运用矩母函数和有效带宽等理论,重新表征网络演算中到达包络和有效服务曲线,提出基于矩母函数形式的时延上界,利用相关理论建立并推导适应于自相似业务的端到端统计时延上界模型。数值分析结果表明,该模型能提高统计复用,对分型布朗运动业务性能评价具有较好的适应性。     

Experimental investigation and numerical analysis of unsteady attached sheet- cavitating flows in a centrifugal pump

This paper studies the attached sheet cavitation in centrifugal pumps. A pump casted from Perspex is used as the test subject. The cavitation bubbles were observed in the entrance of the impeller and the drops of the head coefficients were measured under different operating conditions. A Filter-Based Model (FBM), derived from the RNG k – ? model, and a modified Zwart model are adopted in the numerical predictions of the unsteady cavitating flows in the pump. The simulations are carried out and the results are compared with experimental results for 3 different flow coefficients, from 0.077 to 0.114. Under four operating conditions, qualitative comparisons are made between experimental and numerical cavitation patterns, as visualized by a high-speed camera and described as isosurfaces of the vapour volume fraction α_v = 0.1. It is shown that the simulation can truly represent the development of the attached sheet cavitation in the impeller. At the same time, the curves for the drops of the head coefficients obtained from experiments and calculations are also quantitatively compared, which shows that the decline of the head coefficients at every flow coefficient is correctly captured, and the prediction accuracy is high. In addition, the detailed analysis is made on the vapour volume fraction contours on the plane of span is 0.5 and the loading distributions around the blade section at the midspan. It is shown that the FBM model and the modified Zwart model are effective for the numerical simulation of the cavitating flow in centrifugal pumps. The analysis results can also be used as the basis for the further research of the attached sheet cavitation and the improvement of centrifugal pumps.     

入侵检测系统中模式匹配算法研究

分析了BF,KMP,BM模式匹配算法,在此算法的基础上提出了一种改进的模式匹配算法(FBM),该算法的思想是时BM 算法中滑动距离函数dist右移模式距离大小进行改进,并且定义了两个新的滑动距离函数,在不同的条件下,分别调用不同的滑动距离函数,更好地拉制模式匹配过程.实验结果表明,该算法比BF,KMP和BM算法显著减少...     

一种基于RMD的可控性真实感山脉的模拟方法

提出了一种利用山脉的少量特征点的三维坐标,采用分形技术快速生成可控性、真实感山脉的方法,并在PC机上用VC＋＋6.0结合OpenGL编程,将生成的山脉数据转化为具有真实感的可视化图形。模拟实验结果表明提出的算法成功解决了传统的基于RMD的山脉生成算法中山脉形状无法控制的问题。     

基于FBM行为模型的在线学习平台交互设计研究

目的从行为角度分析在线学习平台用户体验问题,探究FBM行为模型下的在线学习平台交互设计方法,为在线学习平台的设计研发提供理论依据。方法通过分析当下在线学习平台的现状以及在线学习用户的线上学习行为特征,结合用户问卷、访谈调研等定量定性分析,并根据在线学习者的用户旅程图,总结出在线学习平台中用户的线上学习体验问题。再结合斯坦福大学行为科学教授福格提出的FBM行为模型,从增强用户动机、提升用户能力和增加触发机制三个方面得出FBM行为模型下的在线学习平台交互设计方法。结论基于FBM行为模型下提出的清晰明确的平台定位、荣誉成就体验、及时有效的反馈、激励机制等交互设计方法模型能够满足在线学习用户的学习需求,优化其在线学习体验,最终提升在线学习平台的价值和竞争力。     

大规模有限阵列结构快速算法

提出了一种简单有效的计算大型二维阵列雷达散射截面的新方法．利用分域全域基(SED)构建基函数,采用前后向迭代过程(FBM)解矩阵方程,并利用离散傅里叶变换(DFT)在谱域降低了矩阵向量积计算量．与广泛应用的多层快速多极子(MLFMM)方法相比,对于阵列未知量个数为N的问题,此方法在保证结果准确的前提下,使总的计算量和内存要求均由O(NlogN)降为O(N),可用于快速分析大规模的任意形状单元有限阵列．     

新型FMB车用醇基燃料配方体系研究

研究了车用醇基燃料的配方,结果表明:由质量分数为0.72的甲醇、0.25的C5+、0.02的C1～C5和0.01的MLN助溶剂组成的车用醇基燃料。在醇烃比A∶O=1∶9～9∶1范围内,均一、稳定、长期贮存不分层。MLN质量分数为0.01,车用醇基燃料中水的质量分数达0.008时,醇烃发生相分离。随着MLN质量分数的增加,达到相分离点的水质量分数增加,抗相分离能力增强。车用醇基燃料具有优良的耐热、耐寒稳定性。醇基燃料与汽油以任意比互溶,长期不分层。因此该车用醇基燃料可以代替汽油,具有广泛的使用价值。     

Design of a maximally permissive liveness-enforcing supervisor with a compressed supervisory structure for flexible manufacturing systems

In this paper, a deadlock prevention policy for flexible manufacturing systems (FMS) is proposed, which can obtain a maximally permissive liveness-enforcing Petri net supervisor while the number of control places is compressed. By using a vector covering approach, the sets of legal markings and first-met bad markings (FBM) are reduced to two small ones, i.e., the minimal covering set of legal markings and the minimal covered set of FBM. A maximally permissive control purpose can be achieved by designing control places such that all markings in the minimal covered set of FBM are forbidden and no marking in the minimal covering set of legal markings is forbidden. An integer linear programming problem is designed to minimize the number of control places under an assumption that a control place is associated with a P-semiflow. The resulting net has the minimal number of control places on the premise that the assumption holds, and possesses all permissive states of a plant. The only problem of the proposed method is its computational complexity that makes it inapplicable to large-scale Petri net models. An FMS example from the literature is presented to illustrate the proposed method.