Equilibrium analysis through separation of user and network behavior

Internet complexity makes reasoning about traffic equilibrium difficult, partly because users react to congestion. This difficulty calls for an analytic technique that is simple, yet have enough details to capture user behavior and flexibly address a broad range of issues.This paper presents such a technique. It treats traffic equilibrium as a balance between an inflow controlled by users, and an outflow controlled by the network (link capacity, congestion avoidance, etc.). This decomposition is demonstrated with a surfing session model, and validated with a traffic trace and NS2 simulations.The technique’s accessibility and breadth are illustrated through an analysis of several issues concerning the location, stability, robustness and dynamics of traffic equilibrium.     

On aggregate available bandwidth in many-to-one data transfer—modeling and applications

This work investigates the modeling of aggregate available bandwidth in multi-sender network applications. Unlike the well-established client–server model, where there is only one server sending the requested data, the available bandwidth of multiple senders when combined together does exhibit consistent properties and thus can be modeled and estimated. Through extensive experiments conducted in the Internet this work proposed to model the aggregate available bandwidth using a normal distribution and then illustrates its application through a hybrid download-streaming algorithm and a playback-adaptive streaming algorithm for video delivery under different bandwidth availability scenarios. This new multi-source bandwidth model opens a new way to provide probabilistic performance guarantee in best-effort networks such as the Internet, and is particularly suitable for the emerging peer-to-peer applications, where having multiple sources is the norm rather than the exception.

AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING

Abstract. The idea of fractional differencing is introduced in terms of the infinite filter that corresponds to the expansion of (1- B ) ^d . When the filter is applied to white noise, a class of time series is generated with distinctive properties, particularly in the very low frequencies and provides potentially useful long-memory forecasting properties. Such models are shown to possibly arise from aggregation of independent components. Generation and estimation of these models are considered and applications on generated and real data presented.     

基于分数阶Fourier变换的水声通信多普勒系数估计技术研究

本文基于传统多普勒系数估计方法,提出一种基于分数阶Fourier变换的多普勒系数估计方法,该方法利用分数阶Fourier变换估计得到经过信道后LFM信号调频斜率的变化量值,进而得到多普勒系数的估计。通过计算机仿真研究验证了该方法的有效性与稳健性。     

基于FRFT和LBP的笑脸识别

利用FRFT的时频双重特性和LBP算子能提取纹理图像微小特征的优点,提出一种将分数阶Fourier变换(FRFT)与局域二值模式(LBP)算子相结合的笑脸识别算法.对训练样本进行分数阶Fourier变换,取其变换的幅值信息作为脸部表情特征,与LBP融合进行分类判别,同时采用总体识别率和笑脸识别率统计结果,在RML表情数据库进行仿真验证.实验结果表明,该方法在笑脸识别中相比其他方法的识别性能更好.     

Fractional order and BICO disturbance observers for a run-of-mine ore milling circuit

Grinding mill circuits are hard to control due to poor plant models, large external disturbances, uncertainties from internal couplings, and process variables that are difficult to measure. This paper proposes a novel fractional order disturbance observer (FO-DOB) for a run-of-mine (ROM) ore milling circuit. A fractional order low pass filter (Q-filer) is used in the DOB to offer an additional degree of freedom in tuning for set-point tracking performance and disturbance rejection performance. Another disturbance observer is introduced in which a Bode ideal cut-off (BICO) filter is used for the Q-filter. A full non-linear plant model is used for evaluation of the performance gained over the ubiquitous PI controller. The simulation results show that the FO-DOB and BICO-DOB schemes are useful additional tools for ROM ore milling circuit control implementations.     

焦化分馏塔的防腐蚀设计

就扬子石化公司延迟焦化装置炼制高含硫、高酸值原油时的焦化分馏塔内防腐蚀问题进行了探讨。     

Higher-order fractional constitutive equations of viscoelastic materials involving three different parameters and their relaxation and creep functions

Two higher-order fractional viscoelastic material models consisting of the fractional Voigt model (FVM) and the fractional Maxwell model (FMM) are considered. Their higher-order fractional constitutive equations are derived due to the models’ constructions. We call them the higher-order fractional constitutive equations because they contain three different fractional parameters and the maximum order of equations is more than one. The relaxation and creep functions of the higher-order fractional constitutive equations are obtained by Laplace transform method. As particular cases, the analytical solutions of standard (integer-order) quadratic constitutive equations are contained. The generalized Mittag–Leffler function and H-Fox function play an important role in the solutions of the higher-order fractional constitutive equations. Finally, experimental data of human cranial bone are used to fit with the models given by this paper. The fitting plots show that the models given in the paper are efficient in describing the property of viscoelastic materials.     

M周期分数傅里叶变换的光栅信号去噪方法

用矩阵方法离散地实现了任意M周期的分数傅里叶变换(FRFT),它可实现变换级次及周期的自由选择。根据相应的噪声频谱,选取适当的级次及周期,可使FRFT构造一个极窄的带阻滤波器,将其中心频率对准相应噪声的窄谱,便可滤除与理想信号频谱重叠部分的噪声分量,同时保持信号分量。在实验中,用矩阵方法实现的FRFT对所测光栅信号进行了去噪处理,并与传统的傅里叶与小波分析去噪方法进行了对比,结果表明,只要选取适当的级次和周期(α=0.545,Μ=5)就可获得理想的去噪效果。