考虑自热效应的互连线功耗优化模型

基于互连线的分布式功耗模型,考虑自热效应的同时采用非均匀互连线结构,提出了一种基于延时、带宽、面积、最小线宽和最小线间距约束的互连动态功耗优化模型.分别在90和65 nm互补金属氧化物半导体工艺节点下验证了功耗优化模型的有效性,在工艺约束下同时不牺牲延时、带宽和面积所提模型能够降低高达35％互连线功耗.该模型适用于片上网络构架中大型互连路由结构和时钟网络优化设计.     

Analyses of Optimal Embedding Dimension and Delay for Local Linear Prediction Model

In the reconstructed phase space, a novel local linear prediction model is proposed to predict chaotic time series. The parameters of the proposed model take the values that are different from those of the phase space reconstruction. We propose a criterion based on prediction error to determine the optimal parameters of the proposed model. The simulation results show that the proposed model can effectively make one-step and multistep prediction for chaotic time series, and the one-step and multi-step prediction accuracy of the proposed model is superior to that of the traditional local linear prediction.     

Portfolio Optimization with a Mean–Absolute Deviation–Entropy Multi-Objective Model

Investors wish to obtain the best trade-off between the return and risk. In portfolio optimization, the mean-absolute deviation model has been used to achieve the target rate of return and minimize the risk. However, the maximization of entropy is not considered in the mean-absolute deviation model according to past studies. In fact, higher entropy values give higher portfolio diversifications, which can reduce portfolio risk. Therefore, this paper aims to propose a multi-objective optimization model, namely a mean-absolute deviation-entropy model for portfolio optimization by incorporating the maximization of entropy. In addition, the proposed model incorporates the optimal value of each objective function using a goal-programming approach. The objective functions of the proposed model are to maximize the mean return, minimize the absolute deviation and maximize the entropy of the portfolio. The proposed model is illustrated using returns of stocks of the Dow Jones Industrial Average that are listed in the New York Stock Exchange. This study will be of significant impact to investors because the results show that the proposed model outperforms the mean-absolute deviation model and the naive diversification strategy by giving higher a performance ratio. Furthermore, the proposed model generates higher portfolio mean returns than the MAD model and the naive diversification strategy. Investors will be able to generate a well-diversified portfolio in order to minimize unsystematic risk with the proposed model.     

适用于任意形状封闭空间的声场预测相干模型

针对现有几何声学的方法对封闭空间内声场进行预测时在中低频段出现较大误差的问题,该文提出一种近似圆锥声束追踪法和相干反射场理论相结合的声场预测新模型。在近似圆锥声束追踪法基础上,考虑声束轴线在边界多次反射时声压和相位的改变,最后计算不同声波之间的干涉效应,建立一种适用于任意形状封闭空间的声场预测相干模型。利用该模型对某一矩形封闭空间进行声场预测,通过对边界元法、Raynoise软件相干和非相干算法的预测结果和本模型的数值模拟结果对比。结果表明,文中提出的方法和边界元法的计算结果在中低频段非常吻合,两者的计算结果平均绝对误差为1.1 d B。本模型在中低频率下与同样考虑了相位的Raynoise相干算法相比有更好的准确性,在较高频率上,本模型计算结果与Raynoise相干算法计算结果非常吻合。     

Routing and wavelength assignment in wavelength-routed all-optical WDM networks

In this paper, low-complexity mathematical model has been developed which is used for the calculation of the blocking probability of network and this model does not require any simulation statistics. The implementation of the model proposed has less complexity and the computation used in this model is quite efficient. The routing algorithm has also been proposed in this paper depending upon the proposed model, which is very efficient in calculation and minimization of the blocking probability. This algorithm suggests an optimum path as a solution to routing problem. The wavelength assignment technique has also been suggested in this paper to minimize the blocking probability. The proposed model and algorithms can be implemented on different network topologies. Furthermore, the model, routing algorithm and wavelength assignment technique is also used to evaluate the blocking performance of NSFNet and EUPAN Network topology and hence used to improve its performance on the basis of the blocking probability.     

Modelling of creep hysteresis in ferroelectrics

In the current paper, a macroscopic model is proposed to simulate the hysteretic dynamics of ferroelectric ceramics with creep phenomenon incorporated. The creep phenomenon in the hysteretic dynamics is attributed to the rate-dependent characteristic of the polarisation switching processes induced in the materials. A non-convex Helmholtz free energy based on Landau theory is proposed to model the switching dynamics. The governing equation of single-crystal model is formulated by applying the Euler–Lagrange equation. The polycrystalline model is obtained by combining the single crystal dynamics with a density function which is constructed to model the weighted contributions of different grains with different principle axis orientations. In addition, numerical simulations of hysteretic dynamics with creep phenomenon are presented. Comparison of the numerical results and their experimental counterparts is also presented. It is shown that the creep phenomenon is captured precisely, validating the capability of the proposed model in a range of its potential applications.     

A model for simulation of crowd behaviour in the evacuation from a smoke-filled compartment

The modelling of crowd evacuation from a building has been studied over the past decades. In this study, a numerical model based on cellular automaton is proposed to simulate the human behaviour termed “flow with the stream” in emergency evacuation from a large smoke-filled compartment. In the model, the smoke effect in the context of visibility is considered since visibility range can affect the human behaviour significantly. To simulate the reality that the smoke concentration in a fire compartment is not constant, the proposed model is developed to deal with the scenario in which the visibility range varies in the course of time. An empirical formula is incorporated into the proposed model to estimate the visibility range. The results of numerical tests show that the proposed model can also be used to investigate the effect of the number of guiders through case study.     

An analytical model to estimate the performance of an indoor barrier at low-medium frequencies

Indoor barriers are now widely used for sound insulation. This paper examines the performance of indoor barriers in the low-medium frequency range and analyses the interaction between different natural modes of a room-barrier-room system. Morse proposed a theoretical model to calculate the sound field in a coupled-room, but this model neglects the surface integral of the boundary values of sound pressure. To estimate the performance of a barrier in an indoor environment, an analytical model is proposed that modifies the Green’s function for a non-rigid boundary enclosure and approximates the surface integral by a pre-estimated sound pressure based on Morse’s model. An additional approximation has been made in the proposed model to neglect the coupling area in the calculation of the surface integral. The proposed model used to predict the insertion loss of the barrier is verified by the experimental results using a 1:5 scale model. The predicted results agree well with the measured results at lower frequencies.     

An efficient broadband coupled-mode model using the Hamiltonian method for modal solutions

A numerically efficient broadband, range-dependent propagation model is proposed, which incorporates the Hamiltonian method into the coupled-mode model DGMCM. The Hamiltonian method is highly efficient for finding broadband eigenvalues, and DGMCM is an accurate model for range-dependent propagation in the frequency domain. Consequently, the proposed broadband model combining the Hamiltonian method and DGMCM has significant virtue in terms of both efficiency and accuracy. Numerical simulations are also provided. The numerical results indicate that the proposed model has a better performance over the broadband model using the Fourier synthesis and COUPLE, while retaining the same level of accuracy.     

Shape reconstructions and morphing kinematics of an eagle during perching manoeuvres

The key to high manoeuvre ability in bird flight lies in the combined morphing of wings and tail.The perching of a wild Haliaeetus Albicilla without running or wing flapping is recorded and investigated using a high-speed digital video.A shape reconstruction method is proposed to describe wing contours and tail contours during perching.The avian airfoil geometries of the Aquila Chrysaetos are extracted from noncontact surface measurements using a ROMBER 3 D laser scanner.The wing planform,chord distribution and twist distribution are fitted in convenient analytical expressions to obtain a 3 D wing geometry.A three-jointed arm model is proposed to associate with the 3 D wing geometry,while a one-joint arm model is proposed to describe the kinematics of tail.Therefore,a 3 D bird model is established.The perching sequences of the wild eagle are recaptured and regenerated with the proposed 3 D bird model.A quasi-steady aerodynamic model is applied in the aerodynamic predictions,a four-step Adams-Bashforth method is used to calculate the ordinary differential equations,thus a BFGS based optimization method is established to predict the perching motions.     

利用区域信息的航拍图像分割

提出一种利用区域信息的航拍图像分割模型。针对GAC模型和Chan-Vese模型存在的不足,提出一种符号压力函数,该符号压力函数可以有效地增大模型的作用范围。与Chan-Vese模型相比,新模型不受初始条件的限制,进一步增大了模型的作用范围。新模型利用了图像的区域信息,可以同时将目标的内外边界分割出来。在新模型中,水平集函数不必初始化为符号距离函数,节省了计算开销。与传统的基于水平集方法的模型相比,新模型不含曲率项,实现简单。实验结果表明,与GAC模型和Chan-Vese模型相比,新模型的分割精度高于3%,分割速度快6倍以上。     

基于空-谱约束的中餐馆过程混合模型高光谱图像聚类方法

高光谱图像分类是高光谱研究的重要内容,也是许多其他应用的前提。针对传统高光谱图像分类仅考虑光谱信息而忽略空间信息的问题,对距离依赖的中餐馆模型(distance dependent Chinese restaurant process, ddCRP)进行改进,提出一种基于空-谱约束的中餐馆过程混合模型(spatial-spectral Chinese restaurnt process, ssCRP)用于高光谱图像聚类。该模型充分考虑像素邻域的空间和光谱信息,并将其统一纳入模型的建模及求解过程中,得到一般基于像素的聚类方法无法实现的效果,可在一定程度上满足高光谱图像聚类分析的需求。首先,为利用高光谱图像的空间和光谱信息,定义基于像素空间距离和光谱角的指数衰变函数作为像素间相似性的度量。然后,在考虑像素相似性的基础上利用基于餐桌的构造形式为每个像素确定所在的餐桌。最后,对每张餐桌分配一道菜作为聚类类别,从而达到聚类的目的。利用航空可见-近红外成像光谱仪AVIRIS高光谱影像评估该模型性能,实验结果表明：ssCRP模型可较好地实现高光谱图像的自动聚类,与传统的K-means和ISODATA方法相比,该模型结果斑块规整,“椒盐效应”得到抑制,具有较高的空间一致性,分类精度高,其总体精度达到63.57%,Kappa系数为0.632 3,能很好反映真实地物分布。同时,分类结果的地物间边界清晰,能很好保持图像边缘。     

电流驱动磁化翻转中的热效应

从理论上研究了电流驱动磁开关中的热效应,在Neel-Brown弛豫时间理论和Li等的有效温度的工作基础上作了改进.在对称系综模型的Landau-Lifshitz-Gilbert和Fokker-Planck方程的基础上,分析了电流驱动磁动力学开关过程和电流引起磁势能的变化,提出一个新的电流感应磁势垒降低模型.新模型是非线性的,与Li等的有效温度模型不同.在此模型的基础上,讨论了开关临界电流对温度、开关时间的依赖关系,理论与实验相符合.对电流引起的样品温升的实验曲线进行了修正,实验结果与文中的非线性势垒降低模 关键词： 热效应 自旋传输矩 Neel-Brown弛豫时间 Fokker-Planck方程     

基于Bootstrap-SVM在小样本条件下光谱定量分析研究

提出了一种在小样本条件下建立光谱定量分析的新方法-Bootstrap-SVM模型。以道路沥青为研究对象,共收集29个来自6个不同单位的沥青样本,利用所提方法建立了沥青针入度定量分析模型。Bootstrap-SVM由Bootstrap重抽样、噪声注入及SVM三个步骤组成。为了对比所提方法的优势,对比了目前常用的PLS模型以及SVM模型。研究结果表明Bootstrap-SVM,PLS,SVM预测均方根误差分别为0.773 5,2.889,1.784 4,所提方法预测精度最好,为小样本条件下光谱定量分析提供了一种新的有效方法。     

On the Regression Model for Generalized Normal Distributions

The traditional linear regression model that assumes normal residuals is applied extensively in engineering and science. However, the normality assumption of the model residuals is often ineffective. This drawback can be overcome by using a generalized normal regression model that assumes a non-normal response. In this paper, we propose regression models based on generalizations of the normal distribution. The proposed regression models can be used effectively in modeling data with a highly skewed response. Furthermore, we study in some details the structural properties of the proposed generalizations of the normal distribution. The maximum likelihood method is used for estimating the parameters of the proposed method. The performance of the maximum likelihood estimators in estimating the distributional parameters is assessed through a small simulation study. Applications to two real datasets are given to illustrate the flexibility and the usefulness of the proposed distributions and their regression models.     

复杂地形下带自由表面水流的分离涡模拟

将分离涡模型(DES),即一种RANS和LES的混合模型,应用于带自由表面的地表水流运动,建立一套数值仿真模型.模型基于有限体积法,水平面内采用非结构计算网格,垂向为结构化网格,对流项离散格式采用二阶TVD格式,并行基于Open MP语言库.算例表明DES模型有助于揭示复杂地形条件下带自由表面水流的大涡拟序结构.     

A viscous continuum traffic flow model with consideration of the coupling effect for two-lane freeways

In this paper, the viscous continuum traffic flow model for a single lane is extended to the traffic flow for two-lane freeways. The proposed model is a higher-order continuum model considering the coupling and lane changing effects of the vehicles on two adjacent lanes. It results from integrating the Taylor series expansion of the viscous continuum traffic flow model proposed by Ge (2006 Physica A 371 667) into the multi-lane model presented by Daganzo (1997 Transpn. Res. B 31 83). Our proposed model may be used to describe non-anisotropic behaviour because of lane changing in multi-lane traffic. A linear stability analysis is given and the neutral stability condition is obtained. Also, issues related to lane changing, shock waves and rarefaction waves, local clustering and phase transition are investigated through a simulation experiment. The simulation results show that the proposed model is capable of explaining some particular traffic phenomena commonly observable in real world traffic flow.     

A study on the multi-freedom broadband impedance model for time-domain simulations

The purpose of this paper is to construct a general broadband impedance model, which is suited for predicting acoustic propagation problems in time domain.A multi-freedom broadband impedance model for sound propagation over impedance surfaces is proposed and the corresponding time domain impedance boundary condition is presented.Basing on the extended Helmholtz resonator,the multi-freedom impedance model is constructed through combing with a sum of rational functions in the form of general complex-conjugate pole-residue pairs and it is proved that the impedance model is well posed.The impedance boundary condition can be implemented into a computational aeroacoustics solver by a recursive convolution technique, which results in a fast and computationally efficient algorithm.The two dimensional and three dimensional benchmark problems are selected to validate the accuracy of the proposed impedance model and time domain simulations.The numerical results are in good agreement with the reference solutions.It is demonstrated that the proposed impedance model can be used to describe the broadband characteristics of acoustic liners,and the corresponding time domain impedance boundary condition is viable and accurate for the prediction of sound propagation over broadband impedance surfaces.     

一种基于延时和带宽约束的纳米级互连线优化模型

基于RLC互连线延时模型,通过缓冲器插入和改变互连线宽及线间距,提出了一种基于延时和带宽约束的互连功耗-缓冲器面积的乘积优化模型.基于90 nm,65 nm和45 nm CMOS工艺验证了互连线优化模型,在牺牲1/3和1/2的带宽的前提下,平均能够节省46%和61%的互连功耗,以及65%和83%的缓冲器面积,能应用于纳米级SOC的计算机辅助设计. 关键词： 纳米互连功耗 缓冲器面积 延时 带宽     

A Particle Resistance Model for Flow through Porous Media

A particle model for resistance of flow in isotropic porous media is developed based on the fractal geometry theory and on the drag force flowing around sphere. The proposed model is expressed as a function of porosity, fluid property, particle size, fluid velocity （or Reynolds number） and fractal characters D f of particles in porous media. The model predictions are in good agreement with the experimental data. The validity of the proposed model is thus verified.