Pulsatile flow of blood using a modified second-grade fluid model

We study the unsteady pulsatile flow of blood in an artery, where the effects of body acceleration are included. The blood is modeled as a modified second-grade fluid where the viscosity and the normal stress coefficients depend on the shear rate. It is assumed that the blood near the wall behaves as a Newtonian fluid, and in the core as a non-Newtonian fluid. This phenomenon is also known as the Fahraeus–Lindqvist effect. The equations are made dimensionless and solved numerically.     

Color Subspaces as Photometric Invariants

Complex reflectance phenomena such as specular reflections confound many vision problems since they produce image ‘features’ that do not correspond directly to intrinsic surface properties such as shape and spectral reflectance. A common approach to mitigate these effects is to explore functions of an image that are invariant to these photometric events. In this paper we describe a class of such invariants that result from exploiting color information in images of dichromatic surfaces. These invariants are derived from illuminant-dependent ‘subspaces’ of RGB color space, and they enable the application of Lambertian-based vision techniques to a broad class of specular, non-Lambertian scenes. Using implementations of recent algorithms taken from the literature, we demonstrate the practical utility of these invariants for a wide variety of applications, including stereo, shape from shading, photometric stereo, material-based segmentation, and motion estimation.     

Over-Parameterized Variational Optical Flow

A novel optical flow estimation process based on a spatio-temporal model with varying coefficients multiplying a set of basis functions at each pixel is introduced. Previous optical flow estimation methodologies did not use such an over parameterized representation of the flow field as the problem is ill-posed even without introducing any additional parameters: Neighborhood based methods of the Lucas–Kanade type determine the flow at each pixel by constraining the flow to be described by a few parameters in small neighborhoods. Modern variational methods represent the optic flow directly via the flow field components at each pixel. The benefit of over-parametrization becomes evident in the smoothness term, which instead of directly penalizing for changes in the optic flow, accumulates a cost of deviating from the assumed optic flow model. Our proposed method is very general and the classical variational optical flow techniques are special cases of it, when used in conjunction with constant basis functions. Experimental results with the novel flow estimation process yield significant improvements with respect to the best results published so far.     

Improvements of nonlinear dynamic modeling of hot-film MAF sensor

The operating procedure of engine requires that the mass air flow (MAF) sensor can measure the pulsation air flow accurately. Therefore the MAF sensor must possess fast response speed. It is necessary to study the dynamic characteristic of the MAF sensor. Both the experimental equipments and method used by authors previously are improved to obtain the sensor response data accurately in this paper. The static and dynamic separable modeling method is adopted to build the uniform nonlinear dynamic model of the hot-film MAF sensor in the Hammerstein and Wiener forms, which can describe the large/small flow-rate and positive/negative step responses. The performance indexes are calculated by the actual and model responses.     

网格工作流在军事信息网格中的应用研究

首先介绍了工作流和工作流管理系统的定义,阐述了网格工作流和军事信息网格的研究现状.其次研究了网格工作流的调度模型并分析了网格工作流调度过程,通过将工作流的思想应用到军事信息网格系统中,给出了基于网格工作流的军事信息网格系统总体设计架构,并对架构中的各个组成模块进行了研究.     

基于融合程序控制流的动态分解算法

计算和数据分解是分布主存系统中并行编译的关键,在并行优化编译器的并行识别过程中,许多串行代码无法找到全局一致的分解结果。针对这种情况,该文提出一种融合程序控制流的动态分解算法,增加控制流对分解的影响,使生成的分解结果更适合于后端自动生成的并行代码。实验分析结果表明了该方法的有效性。     

基于混合式分级流标签的IPv6组播通信

IPv6网络协议引入流标签概念,在路由器转发提供QoS支持。针对IPv6多媒体组播通信的需要,提出一种混合式流标签分级定义方案实现IPv6组播通信的QoS支持,在IPv6实验网上进行多媒体组播通信模拟测试,结果表明该方案能够提供满意的QoS支持。     

基于分步策略的微移动资源预留方案

在微移动/无线环境下,基于分步策略的资源预留方案针对延迟抖动敏感的实时业务,兼顾移动主机RSVP切换的延迟时间和网络资源利用率,该方案以RSVP切换延迟为目标进行路径选择及资源预留,预留完成后在此路径上临时性地继续实时业务的数据传输,在数据传输期间对RSVP临时路径的网络资源利用率进行优化,并保持路径优化操作与数据分组的传输并行执行。RSVP优化路径一旦建成,就立刻将数据传输转移到此优化路径上,并释放以RSVP切换延迟为目标的临时预留路径。性能分析表明,在RSVP切换延迟和资源利用率上,基于分步策略的微移动资源预留方案均取得了优越的性能。     

基于GVF-Snake人体轮廓提取的优化算法

通过分析基于边缘、区域分割和形变模型等3类轮廓提取算法,提出一种分别对三者进行优化综合的基于梯度矢量流-主动轮廓模型(GVF-Snake)的人体轮廓提取优化算法。利用内嵌置信度边缘检测得到理想边缘图,通过形态学方法提取物体粗略轮廓作为GVF-Snake模型的初始轮廓。采用优化GVF-Snake模型提取精确轮廓。将上述方法应用于人体图像轮廓提取,实验结果表明,该方法达到了预期目的且具有较好的实用性。