一种强安全约束机制下的云计算任务调度方案

针对云计算技术中的资源调度时间长、开销大、不考虑调度安全的问题,本文在对常见的云环境下工作流任务的资源调度问题进行建模的基础上,提出了一种强安全约束机制下的云计算任务调度方案。该方案按照所用方法的安全强度,再加上相关软件的安全程度,赋予虚拟机不同的安全等级;另一方面,其按照用户的需求等诸多方面,能够赋予操作不同的安全需求等级;最后使用变近邻粒子群算法对该问题进行了求解。在CloudSim仿真平台上的实验结果证明,本文提出的算法与用最大－最小蚁群算法、遗传算法与该算法相比,该算法具有很好的可用性和寻优能力。     

基于图割和水平集的肾脏医学图像分割

肾脏医学图像分割是医学图像分析和非侵入式计算机辅助诊断系统中的关键步骤。从CT、MRI图像中分割出肾脏及肾皮质,计算其体积和皮质厚度等信息,有助于评估肾脏的功能,从而制定相应的治疗方案。根据肾脏序列图像相邻切片之间结构灰度分布的相似性,提出了一种基于图割和水平集方法的自动肾脏及肾皮质分割方法。选取皮质区域具有足够对比度和清晰度的切片为初始参考图像,使用霍夫森林算法检测肾脏区域,对前景、背景进行均值聚类以估计其灰度分布,获取图割模型能量函数,分割出肾脏整体;通过形态学处理得到相邻切片肾脏的分割候选区域,重复上述分割。以此初步分割结果作为水平集方法的初始轮廓,进一步分割得到三维的肾脏整体和肾皮质区域。实验结果表明,基于图割和水平集的肾脏分割方法能够比较准确地分割出肾脏及肾皮质。     

Interactive multiobjective fuzzy random programming through the level set-based probability model

This paper considers a multiobjective linear programming problem involving fuzzy random variable coefficients. A new fuzzy random programming model is proposed by extending the ideas of level set-based optimality and a stochastic programming model. The original problem involving fuzzy random variables is transformed into a deterministic equivalent problem through the proposed model. An interactive algorithm is provided to obtain a satisficing solution for a decision maker from among a set of newly defined Pareto optimal solutions. It is shown that an optimal solution of the problem to be solved iteratively in the interactive algorithm is analytically obtained by a combination of the bisection method and the simplex method.     

A shape prior constraint for implicit active contours

We present a shape prior constraint to guide the evolution of implicit active contours. Our method includes three core techniques. Firstly, a rigid registration is introduced, using a line search method within a level set framework. The method automatically finds the time step for the iterative optimization processes. The order for finding the optimal translation, rotation and scale is derived experimentally. Secondly, a single reconstructed shape is created from a shape distribution of a previously acquired learning set. The reconstructed shape is applied to guide the active contour evolution. Thirdly, our method balances the impact of the shape prior versus the image guidance of the active contour. A mixed stopping condition is defined based on the stationarity of the evolving curve and the shape prior constraint. Our method is completely non-parametric and avoids taking linear combinations of non-linear signed distance functions, which would cause problems because distance functions are not closed under linear operations. Experimental results show that our method is able to extract the desired objects in several circumstances, namely when noise is present in the image, when the objects are in slightly different poses and when parts of the object are invisible in the image.     

Multiple piecewise constant with geodesic active contours (MPC-GAC) framework for interactive image segmentation using graph cut optimization

This paper proposes an improved variational model, multiple piecewise constant with geodesic active contour (MPC-GAC) model, which generalizes the region-based active contour model by Chan and Vese, 2001 [11] and merges the edge-based active contour by Caselles et al., 1997 [7] to inherit the advantages of region-based and edge-based image segmentation models. We show that the new MPC-GAC energy functional can be iteratively minimized by graph cut algorithms with high computational efficiency compared with the level set framework. This iterative algorithm alternates between the piecewise constant functional learning and the foreground and background updating so that the energy value gradually decreases to the minimum of the energy functional. The k-means method is used to compute the piecewise constant values of the foreground and background of image. We use a graph cut method to detect and update the foreground and background. Numerical experiments show that the proposed interactive segmentation method based on the MPC-GAC model by graph cut optimization can effectively segment images with inhomogeneous objects and background.     

一种在开发时实现分布式仿真系统通信协议的异构方案

分布式仿真系统通信协议的异构是解决不同协议下仿真资源重用的关键,也是近几年仿真领域研究的热点之一.设计了一种在仿真系统开发阶段实现通信协议异构的方案,该方案的重点是实现一个与通信协议无关的开发包,从实例连接、对象管理、事件管理和公共接口四个方面讨论了该开发包的基本原型.对比运行时的异构方案,分析了该方案的特点,指出开发...     

用户级实时线程的设计与实现

连续媒质的应用程序要求有实时线程高效灵活的支持,包括对线程属性的动态管理和多线程模式的支持。本文介绍在RT－Mach微内核上用户实时线程的设计和实现。     

HLA联邦开发执行过程及发展趋势

对高层体系结构（HLA）的组成、最新发展的联邦开发执行过程（FEDEP）和支撑软件进行了详细的介绍,给出了联邦开发执行过程的发展趋势,并对我国开展这方面的研究提出了方向和目标。     

计算机基础教育研究与实践

本文依据“三个层次”的构思,阐述了新形势下对计算机基础教育的基本要求,总结了在层次教育、实践性教育和素质教育等方面的做法。     

非重复初始化水平集方法的图像轮廓检测

水平集方法(LevelSet Method)是一种用于计算曲线演化位置的有效方法。该文针对传统LevelSet Method进行图像检测中需要重复初始化水平集函数的缺点,研究了不需要重复设置水平集函数的图像检测方法.实验表明,该方法能更好的检测多目标图像轮廓。