CMDC:an iterative algorithm for complementary multi-view document clustering

In response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative algorithm for complementary multi-view document clustering——CMDC was proposed,in which the multi-view document clustering process and the multi-view feature adjustment were conducted in a mutually unified manner.In CMDC algorithm,complementary text documents were selected from the clustering results to aid adjusting the contribution of view features via learning a local measurement metric of each document view.The complementary text document of the results among the dimensionality clusters was selected by CMDC,and used to promote the feature tuning of the clusters.The partition consistency of the multi-dimensional document clustering was solved by the measure consistency of the dimensions.Experimental results show that CMDC effectively improves multi-dimensional clustering performance.     

一个并行Prolog系统中的处理机分配算法及实现

本文介绍了一个适用于并行Ｐｒｏｌｏｇ系统的处理机分配算法，利用群调度，通过将空闪处理机有选择地分配给适当的任务。实现了处理机间的负载平衡，并获得高的加速比。     

“SEQ OF PAR”结构化并行程序设计

本文基于有关因果关系复合的Ｃｏｍｍｕｎｉｃａｔｉｏｎ Ｃｌｏｓｅｄ Ｌａｙｅｒ理论提出了一种结构化并行程序设计方法以支持不同并行平台的“通用”并行程序设计。该模型采用“ＳＥＱ ＯＦ ＰＡＲ”的层次化结构和基于伪同态的并行抽象数据类型来分析和刻画程序的并行行为。     

Experience with PMS-Prolog: A distributed,coarse-grain-parallel prolog with processes,modules and streams

PMS-Prolog is an implementation of Prolog designed for distributed systems, and therefore uses coarsegrain parallelism in preference to the fine-grain parallelism of other implementations. Prolog processes are formally defined and interprocess communication is explicit. An overview of PMS-Prolog is provided, followed by an examination of the PMS-Prolog solutions to four problems. These solutions are also compared to other solutions from the literature. From this, the strengths and weaknesses of the PMS-Prolog model can be seen. Avenues for improving the model are then suggested.     

Experiments in the Parallel Computation of 3D Convex Hulls

Two parallel implementations of a 3D convex hull algorithm are reported. The paper considers a MIMD distributed memory architecture and the implementations are carried out on the Meiko Computing Surface using T800 transputers and the programming languages Occam and C. The first method uses a simple parallel geometric decomposition strategy and produces encouraging results. With the second approach a parallel generic Divide-and-Conquer kernel is incorporated. This is an example of the algorithmic skeleton approach to parallel programming and involves run-time, dynamic allocation of work to processors. The resulting performances for both methods are measured and compared.     

Data management scheme for parallel radiosity

The radiosity method is a very demanding process in terms of computing and memory resources. To cope with these problems, parallel solutions have been proposed in the literature. A new parallel solution, based on the use of a shared virtual memory, is proposed. It will be shown that this concept of SVM greatly simplifies the implementation of a parallel algorithm since distributed data are managed by the operating system. This new parallel radiosity algorithm has been implemented on an iPSC/2 hypercube using the SVM. The first results obtained with this algorithm are encouraging since the calculated efficiency curve is nearly linear.     

一个支持多分支循环最优执行的VLIW体系结构

本首先提出一个能够支持多分支循环程序最优执行的ＶＬＩＷ体系结构模型，然后在这个模型的基础上设计了一个新的主要用于数字信号处理及图象处理应用领域的单片体系结构－ＵＲＰＲ－２。在这个体系结构中，属于不同路径和不同循环体的多个分支操作可以在一个节拍内同时被执行，因此可以在更大范围内开发指讼级并行性，同时还提出了一个种叫作流水控制黑板的机制来支持条件分支操作。ＵＲＰＲ－２不仅能够以很高的速度执行只含有基     

基于数字图像处理技术的大型轴类工件平行度测量方法

基于数字图像处理技术，提出大型轴类工件平行度测量方法。该方法通过CCD相机获得所需检测轴的数字图像，并利用边缘检测法检测出轴的边缘（轴母线）信息，然后计算出轴之间的平行度。针对CCD相机在成像过程中存在畸变，且该畸变会对平行度检测精度造成很大影响的问题，提出一种消除轴母线畸变而提高平行度检测精度的方法。基于数字图像处理技术的轴平行度检测方法使用简便，且检测精度高。     

The principle of parallelism in the design of studies to estimate treatment effects.

An effect is a function of a cause as well as of 4 other factors: recipient, setting, time, and outcome variable. The principle of parallelism states that if a design option exists for any 1 of these 4 factors, a parallel option exists for each of the others. For example, effects are often estimated by drawing a comparison across recipients who receive different treatments. The principle of parallelism implies that an effect can also be estimated by drawing a comparison across settings, times, or outcome variables. Typologies of methodological options are derived from the principle of parallelism. The typologies can help researchers recognize a broader set of options than they would otherwise and thereby improve the quality of research designs. (PsycINFO Database Record (c) 2010 APA, all rights reserved)